JP5606409B2 - Power consumption measurement data processing device - Google Patents

Description

  The present invention relates to an energy consumption measurement data processing apparatus that processes data obtained by measuring time-series changes in energy (electric power) consumption, and particularly relates to a visualization technique for processing data and a data calculation technique for visualization.

  Conventionally, various measures for realizing energy saving have been proposed from the viewpoint of fossil fuel depletion and the protection of the global environment. Measures to achieve energy savings include the development and introduction of highly efficient equipment with high energy-saving effects, reduction of waste through energy loss minimum activities, and the utilization of natural energy and the establishment of a social infrastructure for that purpose. .

Of these, performing energy loss minimum activities is to grasp the actual state of energy consumption by measuring time-series changes in energy consumption, and discover the part that is wasted energy consumption from that, It is to continue efforts to eliminate waste.
In recent years, energy loss minimum activities are often undertaken as environmental load reduction activities aimed at reducing CO2 emissions, but this is an evaluation by converting directly measurable energy consumption into CO2 emissions. .

In general, a typical example of energy consumption that is directly measured is power consumption. For example, a factory that manufactures a material may consume fossil fuel in addition to electric power.
Further, in a factory that processes parts and manufactures parts, and a factory that assembles manufactured parts and supplies final products, the processing apparatus and the assembly apparatus are mostly operated with electric power.

Thus, in various factories centering on assembly, most of the energy used is electric power.
In the office buildings in factories and general buildings such as office buildings other than factories, most of the energy used is electric power.

Therefore, in factories and office buildings that consume electricity, it is necessary to measure the time-series changes in power consumption to understand the actual state of power consumption and to make efforts to reduce unnecessary power consumption. Indispensable for.
In addition, as the modern energy transition such as solar power generation is progressing, grasping the actual situation of power consumption is important not only for energy loss minimum activities but also for forecasting and controlling power supply and demand. .

In order to meet the above requirements, conventionally, an energy-saving measure is realized by using a support device (for example, see Non-Patent Document 1) that measures the power consumption of the target system and grasps the actual state of the power consumption. Activities have been carried out.
Specifically, the support device described in Non-Patent Document 1 performs the following processing.

  In order to grasp the actual state of the power consumption, it is necessary to start by measuring the power consumption, but it is necessary to determine at which location the measurement device is installed. In order to specify the measurement point, it is necessary to grasp the power system (energy flow).

FIG. 39 is a block diagram schematically showing a general factory power system. The power reception room and the power system (thick solid line) passed through the buildings α, β,. The measurement points (black circles) on the system are shown.
In FIG. 39, measurement points are set at the input ends of the power receiving unit and the transformer unit in the power receiving room.

  Further, in the building α, the distribution boards in the areas 1 and 2, the lights X 1 and X 2, the air conditioners Y 1 and Y 2, the outlets OA 1 and OA 2, and the production equipment A 1 in the production line A and the production line B , A2, B1, B2,... Are set at measurement points.

  Generally, in a large-scale factory site, there is a power receiving room that receives the power of the entire factory at an extra high voltage, and the high-voltage electric wires branched and transformed from the power receiving room are distributed to the buildings α to γ in the factory site. Moreover, the low voltage electric wires branched and transformed in each building α to γ are distributed to a plurality of areas 1 and 2 in the building.

  On the other hand, small and medium-sized factory sites have power receiving rooms that receive power from the entire factory at extra high voltage or high voltage, and the low-voltage cables branched and transformed from the power receiving rooms are distributed to each building on the factory site, and further built. It is distributed to each indoor area.

  In the building α shown in FIG. 39, a distribution board is installed in each area, and the power further branched by the distribution board is connected to the terminal equipment (production equipment A1, A2 and lighting) X1, X2, outlets OA1, OA2, air conditioners Y1, Y2).

Here, how to divide the distribution board or which equipment is connected to which distribution board depends on the power consumption of each terminal equipment and the ease of wiring.
For example, in the case of an office building, it is common to install a distribution board separately for each area, but in the case of a production line building, a distribution board is divided for each production line, not for each area. May be installed.

In the building α in FIG. 39, although it is a production line building, an example is shown in which a distribution board is separately installed for each area.
One distribution board may be used in a plurality of areas or production lines, and one area or production line may receive power supply from a plurality of distribution boards.

  Further, although not shown in FIG. 39, since a circuit breaker (breaker) is installed at a branch point of the electric power system, each building can be measured by measuring power consumption using the circuit breaker installation point as a measurement point. It becomes possible to grasp the entire power energy flow in α to γ or the entire power energy flow in the factory premises.

  Therefore, conventionally, a support device (for example, see Non-Patent Document 2) has been proposed that realizes settings for measuring power consumption, data calculation for visualizing measurement results, and settings for visualization screens. Yes.

  Hereinafter, specific processing by the power consumption measurement data processing apparatus described in Non-Patent Document 2 will be described with reference to FIGS. 40 to 42, taking the case where the factory site of FIG. 39 is applied as an example. To do.

  FIG. 40 is a block diagram showing a software configuration of a conventional power consumption measurement data processing apparatus. FIG. 41 is a flowchart showing a process when visualization is performed on the display screen, and shows a procedure for making it possible to grasp the entire power energy flow in the measurement and factory premises. Furthermore, FIG. 42 is an explanatory view showing an example of a visualization screen by a conventional power consumption measurement data processing apparatus.

  40, a power consumption measurement data processing device 201 includes a data storage unit 203 that stores various data, a communication processing unit 4 that captures power consumption data from a power meter (not shown), a measurement processing unit 21, and the like. The measurement point setting unit 91, the measurement data aggregation processing unit 93, the measurement data display generation unit 94, the virtual measurement point setting unit 95, the virtual measurement point aggregation data processing unit 97, the search key setting unit 101, and the search A key measurement point correspondence setting unit 103 and a search key display generation unit 105 are provided.

  The data storage unit 203 includes a setting data storage unit 222 and a measurement data storage unit 23 that stores the measurement data 25 from the measurement processing unit 21. Further, the data storage unit 203 includes a total data storage unit 224 (see the broken line block) as necessary.

  The setting data storage unit 222 includes the search key setting data 102, the search key measurement point correspondence setting data 104, the virtual measurement point setting data 96, and the measurement point setting data 92 set by the various setting units 101, 103, 95, and 91. save.

  The total data storage unit 224 stores the total data from the measurement data total processing unit 93 and the virtual measurement point total data processing unit 97, and stores each total stored as necessary when transferring to the search key display generation unit 105. The data 226 is input to the measurement data totaling processing unit 93 and the virtual measurement point totaling data processing unit 97.

Hereinafter, the processing procedure of the conventional power consumption measurement data processing apparatus 201 will be described with reference to FIG.
First, as an advance preparation, regarding the measurement and visualization target, the power system is grasped, and a part of the power system to be measured is determined, and a measurement device configuration is prepared.

  For example, in a power system in a factory or business entity as shown in FIG. 39, power measuring devices are installed at a plurality of locations corresponding to power consumption facilities in each building or floor, and the power consumption measurement data processing device 201 is installed in each building or floor. A configuration with

In FIG. 41, first, measurement point setting (creation of measurement point setting data 92) is performed as setting processing (step S201).
The measurement point setting unit 91 generates measurement point setting data 92 and sets measurement points for the power consumption measurement data processing device 201 to which the measurement point setting data 92 belongs.

  That is, with respect to its own power consumption measurement data processing apparatus 201, a power measurement device connected to the power consumption measurement data processing apparatus 201, a CH (channel) of the power measurement apparatus for collecting data, a data collection cycle, and data storage And the power consumption data (collected by the other power consumption measurement data processing device 201) acquired from the other power consumption measurement data processing device 201 are set.

Note that some power measuring instruments have only one power measurement CH (channel) for measuring power consumption as necessary, and some have two or more. .
For example, among a plurality of power measuring devices, each CH of a power measuring device having 4CH measures the power consumption of four measuring points, and the power measuring device having 1CH measures the power consumption of one measuring point. Can be configured to.

Subsequently, the virtual measurement point setting unit 95 performs setting of virtual measurement points (creating virtual measurement point setting data 96) based on a calculation formula (described later) (step S202).
That is, a desired arithmetic processing expression for the measurement value and a data name for storing data are set. Thereby, although it is not actually measured by the power meter, the result obtained by calculating the measurement value can be set as a virtual measurement point.

Next, the search key setting unit 101 sets a hierarchical structure (creates search key setting data 102) using the power system as a search key (step S203).
In addition, the search key measurement point correspondence setting unit 103 creates search key measurement point correspondence setting data 104, and sets the search key and measurement point to be displayed (step S204).

That is, a hierarchical structure is set using the power system as a search key, and which power system each measurement point (including virtual measurement points) is set.
Thereby, as a setting for visualization during operation, a search key is set to define a hierarchical structure, and which measurement point (including virtual measurement points) is displayed on which search key (hierarchy) is set. The

Next, at the time of operation, the power consumption measurement data processing device 201 collects and stores data for the set measurement points by the measurement processing unit 21 (step S211), and the virtual measurement point total data processing unit 97 Thus, a virtual measurement point is calculated (step S212).
Finally, the visualization screen of the data of the measured measurement points is displayed as a hierarchical structure by the search key display generation unit 105, and the graph display of each measurement data is processed by the measurement data display generation unit 94. (Step S213).

An example of a conventional visualization screen is a trend graph.
This is a graph display of the latest status of data that is continuously collected and stored. In addition, in the trend graph, the graph display is updated when new data is collected, so the data displayed in the graph is updated to the latest value over time, and the graph is displayed with time. The display is shifted (moves sideways).

Another example of the conventional visualization screen is a graph display of past power consumption data that has already been collected and stored by day, week, month, and year.
In this case, for example, even if the power consumption data is collected in a 10-minute cycle, the 10-minute data is aggregated in the hour unit in order to display the graph in the hour unit in the daily graph display. A process of displaying a graph (or taking a difference at one hour intervals) is performed.

  This aggregation processing is performed by the measurement data aggregation processing unit 93 and the virtual measurement point aggregation data processing unit 97 in the conventional support device, and may be performed in parallel with the collection and storage processing. When there is a request for graph display, it may be performed on demand.

When the aggregation process is performed in parallel with the collection and storage process, the aggregation data 226 is stored in the aggregation data storage unit 224 and is only displayed when the graph is displayed.
Therefore, since the aggregation process is not performed when the graph is displayed, the processing time from when the graph display is requested to when the graph is actually displayed is shortened. However, on the other hand, aggregate data that is never displayed in a graph is stored in the aggregate data storage unit 224, and the capacity of the data storage unit 203 may become enormous.

  On the other hand, when the aggregation processing is performed on demand when the graph display is requested, the aggregation data 226 does not need to be stored in the aggregation data storage unit 224, but the graph display is actually requested after being requested. There is a possibility that the processing time until the graph is displayed becomes longer.

FIG. 42 shows an example of a visualization screen of the power consumption measurement data processing apparatus 201.
In FIG. 42, the measurement graph of the measurement point v is visualized by displaying the measured data as a graph. The virtual measurement point g is set as a total value (g = t + u + v) of the measurement points t, u, v.
By such setting, measurement, and visualization, it is possible to grasp the entire power energy flow in each building or the entire factory site.

In addition, in order to grasp the more detailed power consumption actual situation, it is necessary to devise and visualize the tabulation method.
For example, in the case of a factory, there are both an office building and a production line building, so the tendency of power consumption varies depending on each building. Even in an office building, since the number of people on each floor is different, the number of OA devices operating there is also different. Similarly, even in a production line building, the manufacturing facilities that operate on each production line are different.

Therefore, in order to grasp a more detailed power consumption actual state, a method of totalizing measurement data for each production line or equipment type and totaling and visualizing each manufactured product is effective.
Specifically, in order to grasp the actual power consumption for each production line, the data belonging to the production line is aggregated from the measurement data, and the power consumption time series data of the production line is created. It is effective to visualize these data by displaying them in a graph.
Further, when the measurement points necessary for aggregation are not measured, it is necessary to approximately create data necessary for aggregation from the data of the measurement points being measured.

  For example, in FIG. 39, the illumination X1 contributes to the portion of the area 1 of the production line A and the area 1 of the production line B, but at the measurement point of the illumination X1, the individual power consumption for each production line. Is measured, and the illumination power of the entire area 1 is measured.

In such a case, the time series data measured at the power supply point (measurement point) that illuminates the entire area 1 is converted into the power consumption time series data of the illumination in the area 1 part of each production line A, B. Approximate solution by calculating proportional distribution.
Proportional distribution may be equal, may be production line A, B area ratio, luminaire number ratio, or luminaire total wattage ratio, and from past empirical data You may decide.

A situation that solves approximately as described above can often occur. This is because even if it is going to grasp the actual situation of detailed power consumption, if the number of installed power measuring instruments increases, the cost for the measurement will increase accordingly, so it is necessary to suppress the number of power measuring instruments. is there.
In addition, if the approximation can be sufficiently approximated by the proportional distribution, the effect of installing a large number of fine power measuring instruments is reduced, and conversely, only the cost is increased.

To what extent the power meter is to be installed is cost-effective considering how much power consumption needs to be grasped and how much measurement costs can be spent. Is determined in consideration of
However, when a conventional support device is used, it is necessary to manually set (or program) each of the above-described measurement settings, visualization data calculation, and visualization screen settings.

In particular, the creation of visualization screens necessary to fully grasp the actual power consumption, and the creation of visualization data calculation processing, that is, aggregate measurement data by production line and equipment type, Set the search key to set the data calculation to be aggregated for each manufactured product as a virtual measurement point, and visualize the virtual measurement point along the hierarchical structure in an easy-to-understand manner. Enormous engineering costs are required to provide tabulation and visualization so that the actual state of power consumption can be sufficiently grasped, such as the work of setting whether the user belongs.
In addition, the engineering cost required for creating a visualization screen and creating a data calculation process for visualization increases as the detailed power consumption is grasped.

Mitsubishi Energy Saving Data Collection Software (EcoViewer II) Setting Software Instruction Manual IB63178 Mitsubishi Energy-Saving Database Server Software (EcoManager II) Instruction Manual (Server Edition) IB63440

  Conventional energy consumption measurement data processing devices require manual settings (or programming) for measurement settings, data calculation for visualization, and visualization screen settings. In order to grasp the actual situation, there has been a problem that a large engineering cost is required.

  In addition, when engineering costs are limited, processing necessary to fully grasp the actual power consumption, that is, aggregate measurement data for each production line and equipment type, and for each manufactured product Since the data calculation to be summarized in the data and the result of the calculation cannot be fully visualized along the hierarchical structure, an easy-to-understand screen is provided for intuitively grasping the actual situation of power consumption. As a result, there is a problem that it is impossible to achieve an effective energy saving measure without being able to find a waste because the actual situation of insufficient power consumption is not grasped.

  Furthermore, in recent years, the equipment cost has become relatively low as a cost factor, and the measuring equipment has also become cheap, so there is a tendency to handle a large number of measurement points, so the data calculation for visualization and the easy-to-understand visualization screen There was a problem that the engineering cost required for setting increased more and more.

The present invention has been made to solve the above-described problems, and obtains a power consumption measurement data processing apparatus that reduces the engineering work related to generation of a visualization screen and setting of aggregation processing for the visualization screen. For the purpose.

Power measurement data processing apparatus according to the present invention is a power consumption measurement data processing device for collecting and calculating the power consumption data from the installed power measuring instrument to the power system for supplying power to the power consuming installation, the power set the measurement point setting data is information for each measurement point of the power consumption measurement unit, the power system configuration data is information relating to the power system, the correspondence between the power system configuration data and the measurement point setting data A setting data storage unit for storing system measurement point correspondence setting data, a measurement data storage unit for storing the power consumption data for each measurement point collected from the power consumption measuring device, and aggregated data along the power system and a power system aggregation data processing unit that processes the power system aggregate data, the power system aggregation data processing unit, and the measurement point setting data, the power system set Those data, and the power system measuring point correspondence relationship setting data, from said power consumption data, or to generate the power system aggregated data, or outputs the calculation formula for generating the electric power system aggregates data It is.

  According to the present invention, it is possible to reduce the engineering effort by automatically generating a visualization screen that is easy to understand and automatically extracting the aggregation process for the visualization screen.

It is a block diagram which shows the schematic hardware constitutions of the power consumption measurement data processing apparatus which concerns on Embodiment 1-6 of this invention. It is a block diagram which shows the whole structure of the power consumption measurement object system with which Embodiment 1-4 of this invention is applied. It is a block diagram which shows the software structure of the power consumption measurement data processing apparatus which concerns on Embodiment 1, 2 of this invention. It is a flowchart which shows the process sequence by Embodiment 1 of this invention. It is explanatory drawing which shows the mutual relationship (electric power system measuring device corresponding | compatible relationship setting data) of the electric power system setting data and measuring device structure setting data by Embodiment 1 of this invention. It is explanatory drawing which shows the mutual relationship of the electric power grid | system setting data and measurement point setting data by Embodiment 1 of this invention. It is explanatory drawing which shows the mutual relationship of the measurement equipment structure setting data and measurement point setting data by Embodiment 1 of this invention. It is explanatory drawing which shows the electric power system setting data described based on the data format which describes a tree structure in Embodiment 1 of this invention. It is explanatory drawing which shows the electric power system measurement point corresponding | compatible relationship setting data described based on the data format which describes an association in Embodiment 1 of this invention. It is a flowchart which shows the totalization process of the data based on the electric power grid | system by Embodiment 1 of this invention. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 1 of this invention by a power system graph display. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 1 of this invention by a measurement apparatus structure. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 1 of this invention by a power system ratio display. It is a block diagram which shows the other software structural example of the power consumption measurement data processing apparatus which concerns on Embodiment 1, 2 of this invention. It is a flowchart which shows the other example of the process sequence by Embodiment 1 of this invention. It is a flowchart which shows the process sequence by Embodiment 2 of this invention. It is explanatory drawing which shows the mutual relationship (spatial structure electric power system corresponding | compatible relationship setting data) of the electric power system setting data and space structure setting data by Embodiment 2 of this invention. It is a flowchart which shows the data totaling process based on the space structure by Embodiment 2 of this invention. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 2 of this invention by a space structure graph display and a space structure ratio display. It is a flowchart which shows the other example of the process sequence by Embodiment 2 of this invention. It is a block diagram which shows the software structure of the power consumption measurement data processing apparatus which concerns on Embodiment 3, 4 of this invention. It is a flowchart which shows the process sequence by Embodiment 3 of this invention. It is explanatory drawing which shows the mutual relationship (electric power consumption installation power system corresponding | compatible relationship setting data) of the electric power system setting data and equipment classification setting data by Embodiment 3 of this invention. It is a flowchart which shows the total process which considered the equipment classification of the data based on the electric power grid | system by Embodiment 3 of this invention. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 3 of this invention by an equipment classification graph display. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 3 of this invention by an equipment classification ratio display. It is a flowchart which shows the process sequence by Embodiment 4 of this invention. It is explanatory drawing which shows the mutual relationship (space structure power consumption equipment corresponding | compatible relation setting data) of the space structure setting data and power consumption equipment setting data by Embodiment 4 of this invention. It is a flowchart which shows the totaling process of the data based on the spatial structure by Embodiment 4 of this invention. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 4 of this invention by a space structure graph display and an equipment classification graph display. It is explanatory drawing which shows the mutual relationship (space structure power consumption equipment corresponding | compatible relation setting data) of the space structure setting data and power consumption equipment setting data at the time of making a space structure into a production line structure in Embodiment 4 of this invention. It is a block diagram which shows the whole structure of the power consumption measurement object system with which Embodiment 5, 6 of this invention is applied. It is a block diagram which shows the software structure of the power consumption measurement data processing apparatus which concerns on Embodiment 5, 6 of this invention. It is a flowchart which shows the process sequence by Embodiment 5 of this invention. It is explanatory drawing which shows the mutual relationship (power consumption equipment control data corresponding | compatible relation setting data) of the measurement equipment structure setting data and equipment classification setting data by Embodiment 5 of this invention. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 5 of this invention by the equipment classification graph display which considered the control information. It is a flowchart which shows the process sequence by Embodiment 6 of this invention. It is explanatory drawing which shows the mutual relationship of the production process setting data and equipment classification setting data by Embodiment 6 of this invention. It is a flowchart which shows the data totaling process based on the production process by Embodiment 6 of this invention. It is explanatory drawing which shows the measurement data visualization screen by Embodiment 6 of this invention by a production process graph display. It is a block diagram which shows typically the electric power system in a common factory site. It is a block diagram which shows the software structure of the conventional power consumption measurement data processing apparatus. It is a flowchart which shows the process sequence by the conventional power consumption measurement data processing apparatus. It is explanatory drawing which shows an example of the visualization screen of the power consumption by the conventional power consumption measurement data processing apparatus.

Embodiment 1 FIG.
Hereinafter, the first embodiment of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a block diagram showing a schematic hardware configuration of a power consumption measurement data processing apparatus 1 according to Embodiment 1 of the present invention.
Here, as described above, power energy is typically described as a measurement target, but it goes without saying that the present invention can be similarly applied even when any energy other than power is set as a measurement target.

  In FIG. 1, a power consumption measurement data processing apparatus 1 receives power consumption data from a microprocessor 2 constituting a calculation processing function of a main body, a data storage unit 3 including various memories, and a power meter (not shown). It includes a communication processing unit 4 to be captured, a signal input unit 5 that captures analog signals from various sensors (not shown) and converts them into digital data, a signal output unit 6, and various display generation units (to be described later with reference to FIG. 3). A display processing unit 7, an operation input unit 8 serving as an input interface from an operator, and a display device 9 for displaying a visualization screen are provided.

FIG. 2 is a block diagram showing the overall configuration of the power consumption measurement target system (factory or business entity (κ) 17) to which the first embodiment of the present invention is applied.
In FIG. 2, the power consumption measurement data processing device 1 is installed at a plurality of locations in a factory or business entity (κ) 17.

The factory or business entity (κ) 17 includes a power system (κ) 11, a power meter (a) 12, a power consumption measurement data processing device (κ) 1, a building or floor (α) 16, (β ) 16 and (γ) 16 are installed.
In the building or floor (α) 16, (β) 16, (γ) 16, power consumption measurement data processing devices (α) 1, (β) 1, (γ) 1 are installed, respectively.

Since the building or floor (α) 16, (β) 16, and (γ) 16 have the same configuration, only the building or floor (α) 16 is typically shown in detail in FIG. Has been.
In the building or floor (α) 16, a power consumption measurement data processing device (α) 1, a power meter (f) 12, an area (1) 14, and an area (2) 14 are installed.

  The area (1) 14 includes a power consumption facility (X1, Y1) 13 and a power meter (p) 12, and a power consumption facility (A1) 13 in the production line (A) 15 (or a small cell). And a power meter (q) 12, a power consumption facility (B1) 13 and a power meter (r) 12 in the production line (B) 15 are installed.

  Similarly, in the area (2) 14, the power consumption facility (X2, Y2) 13 and the power meter (t) 12, and the power consumption facility (A2) 13 and the power meter (in the production line (A) 15) u) 12, a power consuming facility (B2) 13 and a power meter (v) 12 in the production line (B) 15 are installed.

The plurality of power measuring instruments (f) 12, (p) 12 to (r) 12, and (t) 12 to (v) 12 are connected to the power consumption measurement data processing device (α) 1.
Note that virtual measurement points g, h, and i in which no power meter is installed are set in the power system in the building or floor (α) 16. In addition, a virtual measurement point e where no power meter is installed is set in the power system in the factory or business entity (κ) 17.

In a factory or business entity (κ) 17, power consumption measurement data processing devices (α) 1, (β) 1 installed in each of a plurality of buildings or floors (α) 16, (β) 16, (γ) 16 , (Γ) 1 is connected to a power consumption measurement data processing device (κ) 1 that manages the entire factory or business entity (κ) 17.
The power consumption measurement data processing device (κ) 1 is connected to a power consumption measurement data processing device (λ) 1 that manages the whole of another factory or business entity (λ) 17.

Similarly to the above, the power consumption is measured by the power meter 12 installed at a plurality of measurement points, and the power meter 12 has one power measurement CH (channel) for measuring the power consumption. Some have only, others have two or more.
In FIG. 2, each CH of the power meter (a) 12 having 4CH (κ, b, c, d) measures the power consumption of four measurement points κ, b, c, d, and 1CH (for example, , P) shows an example in which the power meter (p) 12 measures the power consumption at one measurement point p.

FIG. 3 is a block diagram showing a software configuration of the power consumption measurement data processing apparatus 1 according to the first embodiment of the present invention.
In FIG. 3, the power consumption measurement data processing apparatus 1 includes a data storage unit 3, a communication processing unit 4, a measurement processing unit 21, a power system setting unit 41, a power system measurement point correspondence setting unit 43, a space Structure setting unit 51, spatial structure power system correspondence setting unit 53, measurement point setting unit 91, power system total data processing unit 45, power system total display generation unit 46, spatial structure total data processing unit 55 A spatial structure totalization display generation unit 56, a measurement data totalization processing unit 93, and a measurement data display generation unit 94.

  Moreover, the power consumption measurement data processing apparatus 1 includes a measurement device configuration setting unit 31, a measurement device configuration measurement point correspondence setting unit 33, and a measurement device total display generation unit 36 (see a one-dot chain line block) as necessary. ing.

  In FIG. 3, the power consumption data from the power meter 12 is taken in via the communication processing unit 4, but the power consumption measurement data processing device 1 includes the processing function of the power meter 12. Instead of the communication processing unit 4, a signal input unit 5 (see FIG. 1) may be provided. In this case, an analog signal is input to the signal input unit 5 instead of digital data.

The data storage unit 3 includes a setting data storage unit 22 and a measurement data storage unit 23 that stores the measurement data 25 from the measurement processing unit 21.
In addition, the data storage unit 3 includes a total data storage unit 24 (see broken line blocks) as necessary.

The total data storage unit 24 stores power system total data 26 (hereinafter also referred to simply as “total data 26” including various total data described later) acquired from the various processing units 45, 55, and 93 at a predetermined sampling cycle. By storing and outputting as necessary, the data is input to the various display generation units 46, 56, and 36 via the various processing units 45, 55, and 93.
The total data 26 may also include spatial structure total data (described later together with the second embodiment).

  The setting data storage unit 22 includes power system setting data 42, power system measurement point correspondence setting data 44, space structure setting data 52, and space structure power system correspondence setting data 54 from various setting units 41, 43, 51, 53. Save.

  The setting data storage unit 22 also measures the measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data from the measurement device configuration setting unit 31 and the measurement device configuration measurement point correspondence setting unit 33 as necessary. 34 is stored and input to the measuring instrument totalization display generation unit 36.

  The power consumption measurement data processing apparatus 1 shown in FIGS. 1 to 3 collects power consumption data measured by the power meter 12 in FIG. 2 via the communication processing unit 4 and stores it in the data storage unit 3. Save to series. Alternatively, the power consumption data collected by the other power consumption measurement data processing device 1 is acquired via the communication processing unit 4 and stored in the data storage unit 3.

At this time, a data name and a collection cycle are set in advance, and which CH data of which power meter 12 is collected, or which power consumption data collected by which power consumption measurement data processing device 1 is acquired. Is set, and the microprocessor 2 controls processing according to the set contents.
The measurement point setting data 92 is set by the measurement point setting unit 91, and the set measurement point setting data 92 is held in the setting data storage unit 22 in the power consumption measurement data processing apparatus 1.

Alternatively, the setting process of the measurement point setting data 92 can be performed by connecting the power consumption measurement data processing apparatus 1 and a personal computer (hereinafter abbreviated as “PC”) via the communication processing unit 4. is there. In this case, the setting work may be performed with dedicated setting software that runs on a personal computer, and the setting data may be transferred to the power consumption measurement data processing apparatus 1 or the operation input unit in the power consumption measurement data processing apparatus 1 8 may be set.
That is, the measurement point setting unit 91 is provided in the power consumption measurement data processing device 1 instead of being provided.
Setting software on a personal computer may be provided. The same applies to the other various setting sections 41, 43, 51, 53, 31, 33.

  In addition, a power consumption measurement data processing apparatus 1 is set in order to set a power consumption upper limit in advance and output a signal to perform some control when the measured power consumption exceeds the upper limit. In some cases, a signal output unit 6 (see FIG. 1) is provided.

A screen to be displayed on the display device 9 is generated by the display processing unit 7. The display processing unit 7 generates a graph display screen of the collected time series data, for example.
In FIG. 1, the display device 9 is provided in the power consumption measurement data processing device 1, but the display device 9 is installed separately from the power consumption measurement data processing device 1 and power consumption is performed via the communication processing unit 4. The measurement data processing apparatus 1 may be connected.

  The case where the display device 9 is provided in the power consumption measurement data processing device 1 is, for example, a case where the display device 9 is composed of a liquid crystal screen (LCD). In this case, the display processing unit 7 in the power consumption measurement data processing apparatus 1 is an LCD controller (hardware for controlling the LCD).

  On the other hand, when the display device 9 is not provided in the power consumption measurement data processing device 1 (independent display device 9 is connected via the communication processing unit 4), for example, the display device 9 is a Web screen (such as a personal computer). Of the client terminal). In this case, the display processing unit 7 in the power consumption measurement data processing apparatus 1 is a Web server.

Hereinafter, functions according to the first embodiment of the present invention will be described with reference to FIGS. 4 to 7 together with FIGS.
FIG. 4 is a flowchart showing processing procedures for setting and operation according to Embodiment 1 of the present invention.

FIG. 5A is an explanatory diagram showing a mutual relationship (power system measurement device correspondence setting data) between the power system setting data 42 and the measurement device configuration setting data 32, and a broken line arrow corresponds to the power system measurement point correspondence setting data 44. doing.
FIG. 5B is an explanatory diagram showing the interrelationship between the power system setting data 42 and the measurement point setting data 92, and the broken line arrow corresponds to the power system measurement point correspondence setting data 44.
FIG. 5C is an explanatory diagram showing the mutual relationship between the measurement device configuration setting data 32 and the measurement point setting data 92, and corresponds to the measurement device configuration measurement point correspondence setting data 34.

FIG. 6 is an explanatory diagram showing a description example of the power system setting data 42, and shows a case where description is based on a data format that describes a tree structure.
FIG. 7 is an explanatory diagram showing a description example of the power system measurement point correspondence setting data 44, and shows a case where description is based on a data format that describes association.

  Here, before describing the setting and operation processing procedure, the measurement point configuration data 92 and the power system measurement point correspondence setting data 44 and the measurement equipment configuration measurement point correspondence will be described with reference to FIGS. 9 to 11. The setting data 34 will be described more specifically.

  First, the measurement point is an individual setting in the measurement point setting data 92. For example, in FIG. 2, in the power system 11, a power meter (a function for measuring power at four locations) in the power system 11 (a ) 12 measures each measurement point (κ, b, c, d), and a power meter (p) 12 having 1CH (a function for measuring only one power point) measures the measurement point (p). An example of measuring is shown.

As described above, the measurement point setting data 92 is set for the power consumption measurement data processing device 1, and the data measured by which power meter 12 is collected at which period and what name is used. It is composed of data to be stored in or set.
That is, the measurement point setting data 92 is a “general name of settings” for data collection and storage related to such power consumption, and the setting for collecting and storing data of individual power consumption is referred to as “measurement point”. Represents.

  Specifically, settings for data collection and storage for the measurement point p, settings for data collection and storage for the measurement point q, settings for data collection and storage for the measurement point r, and so on. A general term for all the settings is set as measurement point setting data 92. Of course, when there is only one measurement point, the measurement point setting data 92 includes only one measurement point setting.

  That is, the measurement point setting data 92 includes information related to the power system (power system setting data 42) and information related to communication connection between the device and the device (the power consumption measurement data processing device 1 and the power meter 12). The measurement equipment configuration setting data 32) describing the communication connection relationship is not included.

  For this reason, in order to visualize the data by devising the tabulation method, it has been necessary to manually set the virtual measurement point setting data 96 and the search key setting data 102 in the conventional apparatus. Therefore, Embodiment 1 of the present invention aims to reduce the labor of the above setting.

  The power system measurement point correspondence setting data 44 is used to set which part of the power system 11 is measured by the measurement point. The individual measurement points of the measurement point setting data 92 and the power system are set. 11 corresponds to data (broken arrows in FIG. 5B) for setting a correspondence relationship with the elements (nodes) of the tree structure indicated by the power system setting data 42 describing 11.

  As a setting procedure for the power system measurement point correspondence setting data 44, first, as shown by a two-dot chain line block in FIG. 5B, a measurement point is measured for the power consumption measurement data processing device (α) 1 in FIG. Setting data 92 (measurement points f, p, q, r, t, u, v) is set.

  Next, the measurement point setting data 92 (measurement points CH1, CH2, CH3, CH4) is set for the power consumption measurement data processing device (κ) 1 as shown by the one-dot chain line block in FIG. 5B. The measurement point setting data 92 (measurement points f, p, q, r, t, u, v) set for the power consumption measurement data processing apparatus (α) 1 is used.

As described above, the correspondence between the individual measurement points of the measurement point setting data 92 set for the power consumption measurement data processing device (κ) 1 and the elements (nodes) of the tree structure indicated by the power system setting data 42 is determined. By setting, the power system measurement point correspondence setting data 44 (see the broken line arrow in FIG. 5B) is obtained as indicated by the broken line arrow in FIG. 5B.
Further, the power system measurement point correspondence setting data 44 is expressed in a data format as shown in FIG.

  The measurement equipment configuration measurement point correspondence setting data 34 is used to set which part of the measurement equipment configuration the measurement point is measured in. The individual measurement points in the measurement point setup data 92, Corresponding to data (broken arrows in FIG. 5C) in which the correspondence relationship between the elements (nodes) of the tree structure indicated by the measurement device configuration setting data 32 (describes the communication connection relationship between the apparatus and the device) is set. .

  As a procedure for setting the measurement equipment configuration measurement point correspondence setting data 34, first, the measurement point setting data 92 is set for the power consumption measurement data processing device (α) 1 as shown by a two-dot chain line block in FIG. 5C. (Measurement points f, p, q, r, t, u, v) are set.

  Next, the measurement point setting data 92 (measurement points CH1, CH2, CH3, CH4) is set for the power consumption measurement data processing device (κ) 1 as shown by the one-dot chain line block in FIG. 5C. The measurement point setting data 92 (measurement points f, p, q, r, t, u, v) set for the power consumption measurement data processing apparatus (α) 1 is used.

  As described above, each measurement point of the measurement point setting data 92 set for the power consumption measurement data processing apparatus (κ) 1 corresponds to the tree structure element (node) indicated by the measurement device configuration setting data 32. As shown in FIG. 5C, measurement device configuration measurement point correspondence setting data 34 is obtained.

  In FIG. 5A, FIG. 5B and FIG. 5C are described in a collective manner, and a portion indicated as CH1 (measurement point CH1) in FIG. 5A corresponds to FIG. 5C, and a broken-line arrow in FIG. Corresponds to the dashed arrow in 5B.

9 to 11 are explanatory diagrams showing measurement data visualization screens according to Embodiment 1 of the present invention. FIG. 9 is a power system graph display, and FIG. 10 is a measurement device configuration (measurement device configuration measurement point correspondence setting data 34). FIG. 11 shows the power system ratio display.
The measurement data visualization screen (FIG. 10) shown in the measurement device configuration is completed by setting the measurement device configuration measurement point correspondence setting data 34.

The tree structure displayed in FIG. 10 is the tree structure itself indicated by the measurement device configuration setting data 32.
The graph presented from the tree structure displayed in FIG. 10 is a graph of measurement points corresponding to the node in the tree structure indicated by the measurement device configuration setting data 32. Here, the measurement device configuration measurement point correspondence setting data 34 is shown. Is required.

Note that the measurement data visualization screen (FIGS. 9 and 11) shown in the power system graph display and the power system ratio display is completed without setting the measurement device configuration measurement point correspondence setting data 34. The process (flowchart in FIG. 8) for completing the measurement data visualization screen (FIGS. 9 and 11) will be described later.
When executing the flowchart of FIG. 8 (described later), the measurement device configuration measurement point correspondence setting data 34 is irrelevant (unnecessary), and the essential one is the power system measurement point correspondence setting data 44.

In the first embodiment of the present invention, a case is shown in which each setting data is set collectively.
As can be seen from FIG. 5C, the measurement device configuration measurement point correspondence setting data 34 does not include special meaningful information, and the tree element (node) indicated by the measurement device configuration setting data 32 is not included. It can be interpreted as a measurement point as it is. In other words, as an opposite interpretation, it is only necessary to create the measurement device configuration setting data 32 so that the element (node) of the tree indicated by the measurement device configuration setting data 32 becomes a measurement point as it is.

However, since the question “Can the measurement device configuration setting data 32 be created so that an element (node) of the tree structure becomes a measurement point as it is in all the cases that can occur?” Remains, the measurement of the measurement device configuration The point correspondence setting data 34 is necessary.
However, in most cases, the tree structure elements (nodes) can be set as measurement points as they are, so that the tree structure elements (nodes) indicated by the power system setting data 42 and the measurement device configuration setting data 32 can be set. That is, the correspondence relationship with the elements (nodes) of the tree structure shown in FIG.

3 and 4, first, as a processing procedure in the setting stage, power system setting data 42 describing the power system in a tree structure is created (step S1).
At this time, the power system setting data 42 can be created using the power system setting unit 41 provided separately for the power consumption measurement data processing apparatus 1 including the operation input unit 8.

  Alternatively, the power system setting data 42 may be created in a form that is directly edited according to a data format (for example, XML) for describing a tree structure, or created using dedicated setting software that operates on a personal computer. May be.

  In the power system (κ) 11 shown in the specific example of FIG. 2, when the power system setting data 42 is described in a tree structure, the tree structure on the left side in FIG. 5A is obtained. However, although only the power system setting data 42 recognizes each node of the power system (κ) 11 in a tree structure, it cannot recognize whether or not each node is a measurement point.

Therefore, in order to recognize whether or not it is a measurement point, the power system measurement point correspondence setting data 44 in FIG. 3 is required. Alternatively, the measurement device configuration setting data 32 (right tree structure in FIG. 5A) and the measurement device configuration measurement point correspondence setting data 34 (broken arrows in FIG. 5A) are required.
In addition, the data description (correspondence with a measurement point) of the electric power system setting data 42 is represented as shown in FIG. 6, for example.

Returning to FIG. 4, subsequently, measurement points are set, and measurement point setting data 92 is created (step S2).
The measurement point setting data 92 collects which CH data (conventional setting contents) of which power meter 12 connected to its own power consumption measurement data processing device 1 at what cycle, and what data Includes settings to save data by name. Alternatively, the measurement point setting data 92 includes setting contents indicating which power consumption data collected by the other power consumption measurement data processing device 1 is to be acquired.
The measurement point setting data 92 is set by the measurement point setting unit 91 as in the conventional case.

Subsequently, in addition to the creation of the measurement point setting data 92, the measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data 34 are created as necessary (step S3).
The measurement device configuration setting data 32 is data in which the connection relationship between the power consumption measurement data processing device 1 and the power measuring instrument 12 is described in a tree structure. The measurement device configuration measurement point correspondence setting data 34 is which measurement point is which measurement point. This is data indicating whether the measurement is performed by the measuring device (power measuring instrument 12).

That is, the measurement device configuration setting data 32 is data obtained by adding the measurement device configuration information and the corresponding relationship between the measurement device and the measurement point to the measurement point setting data 92 similar to the conventional one.
The measurement device configuration setting data 32 may be created in a form in which the measurement device configuration setting data 32 is directly edited in accordance with a data format (for example, XML) for describing a tree structure, or operates on a personal computer. It may be created with dedicated setting software.

  In addition, the measurement device configuration setting data 32 is separately supplied to the power consumption measurement data processing apparatus 1 including the operation input unit 8 (FIG. 1) as shown in FIG. The point correspondence setting unit 33 may be provided and created using the measurement device configuration setting unit 31 and the measurement device configuration measurement point correspondence setting unit 33.

  When the connection relationship between the power consumption measurement data processing apparatus 1 and the power meter 12 shown in the specific example of FIG. 2, that is, the measurement device configuration setting data 32 is described in a tree structure, the tree structure on the right side in FIG. 5A is obtained.

In the tree structure on the right side in FIG. 5A, a measurement point is associated with a terminal node (a node having no further substructure). For example, “CH1 of power meter a” is changed to “measurement point CH1”. It corresponds.
What describes this association is the measurement equipment configuration measurement point correspondence setting data 34. That is, the end node of the measurement device configuration (tree structure) can be handled in the same manner as the measurement point.

Returning to FIG. 4, subsequently, power system measurement point correspondence setting data 44 is created (step S4).
The power system measurement point correspondence setting data 44 indicates which node of the tree structure of the power system 11 the power consumption measured by each measurement point is (the power consumption of which measurement point in the power system 11). Is associated with each measurement point and each node (each branch point) of the power system setting data 42.

  The power system measurement point correspondence setting data 44 may be created in a form that is directly edited in accordance with a data format (for example, XML) for describing the correspondence, or dedicated setting software that operates on a personal computer is used. May be created.

Alternatively, the power system measurement point correspondence setting data 44 is separately supplied to the power consumption measurement data processing apparatus 1 including the operation input unit 8 (FIG. 1) as shown in FIG. 43 may be provided and created using the power system measurement point correspondence setting unit 43.
The power system measurement point correspondence setting unit 43 may be provided as a partial function of the power system setting unit 41, or may be provided as a partial function of the measurement point setting unit 91 or the measurement device configuration setting unit 31. Good.

The power system measurement point correspondence setting unit 43 may be provided separately from the power system setting unit 41, the measurement point setting unit 91, the measurement device configuration setting unit 31, and the like as shown in FIG.
Furthermore, the power system measurement point correspondence setting unit 43 is a setting function of the power system setting unit 41 and the measurement point setting unit 91, or a setting function of the measuring device configuration setting unit 31 and the power system measurement point correspondence setting unit 43, You may provide as a collective setting part which integrated.

FIG. 5A shows a situation in which a power system tree structure (left side) and a measurement device configuration tree structure (right side) are associated with each other with a broken-line arrow.
In FIG. 5A, “association information” indicated by broken-line arrows corresponds to power system measurement point correspondence setting data 44. The data description of the power system measurement point correspondence setting data 44 is expressed as shown in FIG. 7, for example.

From the above viewpoint, the tree structure (power system measurement point correspondence setting data 44) in FIG. 5A is described by the following procedure.
First, the power system setting data 42 is set in the form of a power system tree view (for example, as shown in the power system tab of the tree view of FIG. 9 described later) by dedicated setting software operating on a personal computer.

  Similarly to the power system setting data 42, the measurement device configuration setting data 32 is obtained in the form of a measurement device configuration tree view (for example, measurement of the tree view of FIG. 10 described later) using dedicated setting software operating on a personal computer. Set (as shown in the Equipment tab).

Next, for each node in the power system tree view, set which terminal node (that is, measurement point) in the measurement device configuration tree view is used for measurement (or each end of the measurement device configuration tree view) For each node, set which node in the power system tree view is measuring the power consumption).
As a result, a description example of the power system measurement point correspondence setting data 44 is obtained as shown in FIG. 5A.

Note that, in the initial state before setting which measurement point in the power system 11 is the power consumption amount, all the nodes (branch points and terminals) of the power system setting data 42 are all automatically calculated virtual measurement points. It is set to be handled as.
Then, as described above, the measurement point at which the power consumption is in the power system is set. In other words, the nodes that are actually measured are set not to be handled as virtual measurement points but to be handled as measurement points.

  At this time, among each node (branch point or terminal) of the power system setting data 42 that has been treated as a virtual measurement point because it is not associated with the power meter 12, a node whose power consumption can be uniquely determined However, for a node whose power consumption cannot be uniquely determined, a steady value or a proportional distribution ratio that is empirically known for the power consumption of the node is set.

Here, the steady value or the proportional distribution ratio is set from the end in the tree structure of the power system.
For example, regarding the virtual measurement point h in FIG. 5A (see FIG. 2), when it is empirically known (estimated) that the power consumption of the virtual measurement point h is constantly almost constant. Sets the steady value j of the known power consumption to the virtual measurement point h.

On the other hand, if it is empirically known that the power consumption at the virtual measurement point h shows a substantially proportional tendency with respect to the power consumption at the measurement point f, using the known proportionality coefficient k, = K × f ”may be set as the power consumption of the virtual measurement point h.
FIG. 5A shows a state in which a steady value j (see a broken line frame) is set for the virtual measurement point h.

At this time, attention should be paid so that the setting process of the steady value and the proportional distribution ratio does not become “circular reference”.
Cyclic reference refers to a state in which reference is made to each other, and since a loop operation is performed when calculating, a result cannot be obtained as it is.

  In addition, measurement points for which power consumption can be uniquely determined may be automatically calculated. However, since the calculation formula is known (determined), it can be automatically calculated. Instead, it is preferable to set the calculation formula.

FIG. 5A shows a setting state in which the virtual measurement points e, g, and i are automatically calculated (see the broken line frame).
For example, regarding the virtual measurement point g, “g = t + u + v” is uniquely derived from the power system tree structure of FIG. 5A, and each measurement point t, u, v is a measurement target. Since automatic calculation is possible without cyclic reference, it is not necessary to manually set “g = t + u + v” separately, and automatic calculation may be left as it is.

Further, regarding the virtual measurement point e, if the virtual measurement point e does not have a lower tree structure, “e = κ− (b + c + d)” is uniquely determined from the power system tree structure of FIG. 5A. In addition, since each measurement point b, c, d is a measurement target, it can be automatically calculated without reference to the circulation, so that the automatic calculation may be left as it is.
However, here, regarding the virtual measurement point e, it is assumed that there is a lower tree structure (not shown) similar to the case of the virtual measurement point g, and the automatic measurement is performed from the tree structure below the virtual measurement point e. calculate.

On the other hand, regarding the virtual measurement point i, it is known that “i = b− (f + g + h)”, but among these, the virtual measurement point g is automatically calculated, and thus the possibility of circular reference remains. .
In addition, since the virtual measurement point h in the above calculation formula is a setting of the steady value j here, there is no possibility of circular reference with respect to the virtual measurement point i, but it is not an object of measurement although it is not automatically calculated. If the proportional distribution ratio is set instead of the steady value j, it can be said that the possibility of circular reference remains depending on the setting contents of the proportional distribution ratio.

  However, since the automatic setting of the virtual measurement point g is not in a cross-reference relationship with the virtual measurement point i, the virtual measurement point i can be calculated after the virtual measurement point g is calculated. The measurement point i may be automatically calculated.

Further, when all of the branch points in the power system 11 are measured without omission, a power transmission loss Δ is provided.
The power transmission loss Δ may be set manually in the setting stage in FIG. 5A, or may be automatically determined and set in the operation stage (described later) in FIG. 5A.

For example, in FIG. 5A, the measurement point f can be uniquely determined by “f = p + q + r”, but the measurement point f is separately measured by the power meter (f) 12 (see FIG. 2). Therefore, the calculated value may not match the actual measured value.
At this time, if the difference between the two is within the tolerance of the measurement error, there is no problem, but if it does not coincide with the tolerance, the power transmission loss Δ (for example, electric leakage) that cannot be ignored needs to be dealt with. There is.

Therefore, the power system total data processing unit 45 in the power consumption measurement data processing device 1 sets the power transmission loss Δ in order to visualize the power transmission loss Δ related to the measurement point f, as in “f = p + q + r + Δ”. Then, total data processing by the power system 11 is performed.
The power transmission loss Δ is automatically calculated.

  Finally, the power consumption measurement data processing device 1 includes the power system setting data 42 created in step S1 in the setting stage, the measurement point setting data 92 created in step S2, and the measuring device configuration created in step S3. The setting data 32 and the measurement equipment configuration measurement point correspondence setting data 34 and the power system measurement point correspondence setting data 44 created in step S4 are written in the setting data storage unit 22.

  At this time, the various setting data 42, 92, 32, 34, 44 describing the entire system may be written equally to all of the plurality of power consumption measurement data processing devices 1. Only a portion corresponding to the device (α) 1 may be cut out and written.

However, in the tree structure of FIG. 5A, it is possible to cut out only the lower structure, but it is not possible to cut out only the upper structure.
Here, the various setting data 92, 32, 34, 42, and 44 in the portion corresponding to the power consumption measurement data processing apparatus (α) 1 in FIG. 2 will be specifically described.

  The measurement point setting data 92 corresponding to the power consumption measurement data processing device (α) 1, the measurement device configuration setting data 32, and the measurement device configuration measurement point correspondence setting data 34 include the power consumption measurement data processing device (α ) Subordinate to 1, that is, at each measurement point of the power meter (f) 12, (p) 12, (q) 12, (r) 12, (t) 12, (u) 12, (v) 12 is there.

  The power system setting data 42 corresponding to the power consumption measurement data processing device (α) 1 includes a lower part than the branch point (measurement point) f of the power system 11 and a lower part than the virtual measurement point g. Or, it is a lower part than the measurement point b.

  The measurement point setting data 92, the measurement device configuration setting data 32, the measurement device configuration measurement point correspondence setting data 34, the power system setting data 42, and the power system measurement point correspondence setting data 44 cut out in this way are used as power. It is possible to write in the consumption measurement data processing device (α) 1.

  However, the various setting data 92, 32, 34, 42, and 44 corresponding to the power consumption measurement data processing device (κ) 1 will be described. The measurement points of the portion corresponding to the power consumption measurement data processing device (κ) 1 The setting data 92, the measurement device configuration setting data 32, and the measurement device configuration measurement point correspondence setting data 34 are all the tree structures on the right side in FIG. 5A.

  Therefore, for example, the lower part than the power consumption measurement data processing device (α) 1, that is, the power meters (f) 12, (p) 12, (q) 12, (r) 12, (t) 12, (u) ) 12, (v) The information on each measurement point of 12 cannot be omitted and omitted.

  The power system setting data 42 corresponding to the power consumption measurement data processing device (κ) 1 is all the tree structure on the left side in FIG. 5A, and therefore, for example, from a branch point (measurement point) f of the power system 11. Also, the information relating to the lower part and the information relating to the lower part than the virtual measurement point g cannot be omitted and must be written.

Returning to FIG. 4, the operation stage (a procedure for generating a visualization screen along the power system) will be described.
First, power consumption data from the power meter 12 is collected and stored (step S11), and a display screen according to the measurement device configuration is generated by the measurement device total display generation unit 36 as necessary (step S12). ).

Subsequently, the power system total data processing unit 45 performs data total processing based on the power system (step S13).
Finally, the power system total display generation unit 46 generates a display screen along the power system (step S14), and the processing routine of FIG.

At this time, the power system total data processing unit 45 uses the power system measurement point correspondence setting data 44 (data describing the correspondence with the measurement points along the power system described in the power system setting data 42). Based on this, the total data 26 is processed.
Further, the power system total display generation unit 46 visualizes the total data processed by the power system total data processing unit 45 along the power system and displays the graph.
The aggregation process may be executed in parallel with the process of collecting and storing power consumption data, or may be executed on demand when a graph display request is generated.

Next, referring to the flowchart of FIG. 8 together with FIG. 5A, the data totaling process based on the power system according to Embodiment 1 of the present invention will be described.
FIG. 8 shows a process of recursively counting from the highest level (root of the tree structure) of the power system (κ) 11 in FIG. 5A.
Note that the processing of FIG. 8 is also effective when generating virtual measurement point setting data that uses the calculation of data aggregation based on the power system.

In FIG. 8, first, the highest level of the tree structure (FIG. 5A) of the power system (κ) 11 is set as a processing target node (step S <b> 41), and the process proceeds to recursion processing (within a one-dot chain line frame).
In the recursive process, first, it is determined whether or not the processing target node (initial target is the highest node κ) has a lower tree structure (step S42), and it is determined that there is no lower tree structure (ie, No). If it does, it will transfer to the below-mentioned determination process (step S50).

  On the other hand, if it is determined in step S42 that the processing target node has a lower-level tree structure (see FIG. 5A) (that is, Yes), then all of the lower-level nodes (be in FIG. 5A) are subsequently processed. It is determined whether or not the recursion process is completed (step S43). If it is determined that the recursion process is completed (that is, Yes), the process proceeds to a determination process (step S45) described later.

  On the other hand, if it is determined in step S43 that the recursive process has not been completed (ie, No), a node that has not been recursively set is set as a processing target, and the recursive process is performed (step S44).

Thereafter, the process returns to step S43, and the recursion process (step S44) is repeatedly executed until it is determined that the recursion process is completed (ie, Yes).
As a result, the recursive process is performed on all the lower nodes of the processing target node (measurement points b, c, d, e in the case of κ).
After all the recursive processing (details will be described later) is completed, the processing branches depending on the determination result of whether or not the processing target node is a measurement target (step S50 described later).

If it is determined in step S43 that the recursion process has been completed (that is, Yes), it is subsequently determined whether or not the processing target node is a measurement point (step S45).
If it is determined in step S45 that the processing target node is not a measurement point (measurement target) (that is, No), the sum of the power consumption of the lower nodes is used as the power consumption data of the processing target node (step S49). The recursive process 8 is finished.

On the other hand, if it is determined in step S45 that the processing target node is a measurement point (measurement target) (that is, Yes), the power consumption data of the processing target node is adopted as power consumption data (step S46).
Subsequently, it is determined whether all the lower nodes are also measurement points (step S47). If it is determined that the lower nodes include nodes that are not measurement points (that is, No), the recursive process of FIG. 8 is terminated. .

On the other hand, if it is determined in step S47 that all the lower nodes are measurement points (that is, Yes), a power transmission loss Δ is provided in addition to the lower node of the processing target node that has already been set. The difference between the power consumption and the sum of the power consumption of all the lower-level nodes that are measurement targets is adopted as the power consumption data of the power transmission loss Δ (step S48).
Thus, the recursive processing (steps S43 to S48) when the processing target node has a lower tree structure is finished.

Hereinafter, as a specific example, recursion processing for each processing target node κ, b, f, g having a lower tree structure in the configuration examples of FIGS. 2 and 5A will be described sequentially.
First, since the processing target node κ is a measurement point (measured by CH1 of the power meter (a) 12), the measurement data is adopted as power consumption data of the processing target node κ.

If all the lower nodes of the processing target node κ are measurement targets, the difference between the power consumption of the processing target node κ and the sum of the power consumption of the lower nodes is adopted as the power consumption data of the power transmission loss Δ. Will be.
However, if any one of the lower nodes of the processing target node κ is not a measurement target, the power transmission loss Δ is not provided.

In the above configuration example, among the lower nodes b to e of the processing target node κ, the node e that is treated as a virtual measurement point because it is not a measurement target is included, so that the power transmission loss Δ is a lower node of the processing target node κ. Never set.
This completes the recursive processing for the processing target node κ.

Similarly, recursive processing for the processing target node b will be described.
First, since the processing target node b has a lower tree structure, recursion processing is performed on all the lower nodes (fi) of the processing target node b.
After the recursive process is completed, the process branches according to the determination result of whether or not the processing target node b is a measurement target (step S50 described later).

Here, since the processing target node b is a measurement point (measured by CH2 of the power meter (a) 12), the measurement data is adopted as power consumption data of the processing target node b. Moreover, since the virtual measurement points g to i are not the measurement target among the lower nodes f to i of the processing target node b, the power transmission loss Δ is not set.
This completes the recursive processing for the processing target node b.

Next, recursive processing for the processing target node f will be described.
First, since the processing target node f has a lower tree structure, recursion processing is performed on all of the lower nodes (p, q, r) of the processing target node f.

  After the recursive process is completed, since the processing target node f is a measurement point (measured by the power meter (f) 12), the measurement data is adopted as power consumption data of the processing target node f.

Further, since all the lower nodes p, q, r of the processing target node f are measurement targets, the power transmission loss Δ is set in the lower nodes of the processing target node f, and the power consumption of the processing target node f and the lower nodes p, The difference from the total power consumption of q and r is adopted as the power consumption data of the power transmission loss Δ.
Thus, the recursive process for the processing target node f is completed.

Next, a recursive process for the processing target node g will be described.
First, since the processing target node g has a lower tree structure, recursion processing is performed on all the lower nodes (t, u, v) of the processing target node g.
Since the processing target node g (virtual measurement point) is not a measurement target after completion of the recursive processing, the total power consumption of the lower nodes t, u, v is set as the power consumption data of the processing target node g. The
This completes the recursive processing for the processing target node g.

Next, referring to FIG. 8, a recursive process when the processing target node has no lower tree structure will be described.
If it is determined in step S42 that there is no lower tree structure (that is, No), it is subsequently determined whether or not the processing target node is a measurement point (step S50).

  If it is determined in step S50 that the processing target node is a measurement point (that is, Yes), the power consumption data of the processing target node is recognized as measurement data (step S51), and the recursive processing in FIG.

  On the other hand, if it is determined in step S50 that the processing target node is not a measurement point (that is, No), it is subsequently determined whether a steady value or a proportional distribution ratio is set for the processing target node (step S50). S52).

  If it is determined in step S52 that a steady value or a proportional distribution ratio is set for the processing target node (that is, Yes), the power consumption data of the processing target node is recognized as a steady value or a proportional distribution calculation value. Then (step S53), the recursive process of FIG.

  On the other hand, if it is determined in step S52 that a steady value or a proportional distribution ratio is not set for the processing target node (that is, No), it can be automatically calculated from the parent node and the sibling node without circular reference. It is determined whether or not (step S54).

  If it is determined in step S54 that automatic calculation can be performed without circular reference from the parent node and sibling node (that is, Yes), the difference obtained by subtracting the sum of sibling nodes from the parent node is used as the power consumption data of the processing target node. The setting is made (step S55), and the recursive process in FIG. 8 is terminated.

On the other hand, if it is determined in step S54 that automatic calculation cannot be automatically performed from the parent node and the sibling node without circular reference (that is, No), it is determined that the power consumption data of the processing target node does not exist (cannot be calculated). (Step S56), the recursive process of FIG. 8 is terminated.
Thus, the recursive processing (steps S50 to S56) when the processing target node has no lower tree structure is completed.

Hereinafter, as a specific example, recursive processing for each processing target node h, i, p without the lower tree structure in the configuration example of FIGS. 2 and 5A will be sequentially described.
First, recursive processing for the processing target node h will be described.
Since the processing target node h does not have a lower tree structure, subsequent to step S42, the processing branches depending on whether or not the processing target node h is a measurement point (measurement target) (step S50). .

If the processing target node h is a measurement target, the measurement data is adopted as the power consumption data of the processing target node h.
However, in this case, since the processing target node h is not a measurement target, the processing branches according to the determination result of whether or not the processing target node h has a steady value or a proportional distribution ratio (step S52). .

If there is no setting for the steady value or the proportional distribution ratio, it is impossible to calculate the power consumption data of the processing target node h. However, as described above, the processing target node h has a steady value j. Since there is a setting, the steady value j is adopted as the power consumption data of the processing target node h.
Thus, the recursive process for the processing target node h is completed.

Next, recursive processing for the processing target node i will be described.
The processing target node i has no lower tree structure, is not a measurement target, and there is no setting of a steady value or a proportional distribution ratio. Therefore, the parent node (b) and sibling nodes (f to h) of the processing target node i The processing branches depending on the determination result of whether or not automatic reference can be made without cyclic reference (step S54).

If it is a circular reference, it is impossible to calculate the power consumption data of the processing target node i.
However, in this case, as described above, the power consumption data of the processing target node i is not circularly referred to by the difference (i = b− (f + g + h)) obtained by subtracting the sum of the sibling nodes f to h from the parent node b. This value is adopted because it can be calculated.
Thus, the recursive process for the processing target node i is completed.

Next, recursion processing for the processing target node p will be described.
Since the processing target node p has no lower tree structure and is a measurement point (measured by the power meter (p) 12), the measurement data is adopted as power consumption data of the processing target node p. .
Thus, the recursive process for the processing target node p is completed.

Since the recursive processing of the processing target nodes q, r, t, u, v is the same, the description thereof is omitted here.
Further, the recursive processing of the processing target nodes c, d, and e is the same as any of the contents described above, and thus description thereof is omitted here.

As described above, the power consumption data of all the nodes of the power system (κ) 11 shown in FIGS. 2 and 5A can be tabulated. The same applies to the other power systems (λ) 11 in FIGS. 2 and 5A.
The recursive process is a process performed to determine how to calculate the power consumption data of each node.

  In order to shorten the processing time by omitting recursive processing that requires a long processing time as much as possible, the recursive processing is executed only once at the beginning of the operation stage, and the calculation method obtained as a result is stored. (Alternatively, it is output in an executable script format.) When it is necessary to calculate data of each node, it is desirable to refer to the calculation method (execute the script).

  However, if the time required for recursive processing is short enough not to cause any trouble, such as when using hardware with high computing power, the recursive processing is executed whenever necessary. May be.

Next, a process for visualizing the aggregated data 26 processed as described above along the power system 11 and displaying it in a graph will be described with reference to FIG. 9 together with FIG. 3.
FIG. 9 is an explanatory diagram showing the measurement data visualization screen according to the first embodiment of the present invention in a power system graph display, and shows processing by the power system total display generation unit 46 (FIG. 3).

  In FIG. 9, the visualization screen is composed of a tree view capable of displaying and operating the hierarchical structure of the power system 11, and a work area (enlarged display on the right side) displaying a graph of power consumption data of the node.

  All nodes (branch points) in the power system 11 have power consumption data as a result of the above-described aggregation process. Therefore, an operation (such as double-clicking with a mouse) for designating a node to be displayed in a graph on the tree view is performed. Thus, the power consumption data of the node can be displayed in a graph as in the example pattern of FIG.

  Note that, if necessary, the measurement device totalization display generation unit 36 in the power consumption measurement data processing device 1 can change the measurement points along the measurement device connection hierarchical structure described in the measurement device configuration setting data 32. Based on the measurement device configuration measurement point correspondence setting data 34 describing the correspondence, the measurement data 25 of the measurement point is visualized and displayed in a graph.

FIG. 10 is an explanatory diagram showing the measurement data visualization screen according to Embodiment 1 of the present invention in the configuration of the measurement device.
As shown in FIG. 10, by performing an operation (for example, double-clicking with the mouse) for designating a node (for example, v) to be displayed in a graph on a tree view capable of displaying and operating the hierarchical structure of the measuring device. The power consumption data of the node can be displayed in a graph.

  The generation of such a power consumption visualization screen and the tabulation process related thereto have been set manually in the past, but according to the first embodiment of the present invention, since it can be automatically processed, There is an effect that it is possible to reduce the labor involved in engineering the visualization screen for intuitively performing the work of grasping the actual situation.

  That is, according to the first embodiment of the present invention, the computations related to all virtual measurement points (that is, all nodes that are not measured) necessary for the visualization process for grasping the actual state of the power consumption along the power system 11. Organize the setting information necessary for automatically processing the settings and the settings on the visualization screen, and only set the setting information (here, the power system hierarchy, measurement point information, and their interrelationships) Thus, the power system totalization display generation unit 46 can automatically realize a visualization screen for grasping the actual state of power consumption along the power system 11.

  The first embodiment of the present invention applies the rule “data of parent node = sum of data of child nodes” to the power system 11 to grasp the actual state of power consumption along the power system 11. The calculation settings related to all virtual measurement points necessary for visualization are automated, and these calculation results are directly associated with the display along the power system 11, so the visualization screen settings are also automated. To do.

  Similarly, the first embodiment of the present invention similarly sets the measurement device configuration hierarchical structure, the measurement point information, and the interrelation between them, and the measurement device total display generation unit 36 follows the measurement device configuration. The measurement data visualization screen is automatically realized. There is no setting of virtual measurement points necessary for visualization of measurement data according to the measurement device configuration.

As a graph display form other than displaying only one graph of only the power consumption data of the node, in FIG. 9, the power consumption data of the node κ and the lower-level nodes b to e are combined. Thus, an example of displaying a line graph and an example of displaying power consumption data of nodes b to e lower by one stage of the node κ by a stacked graph are shown.
In the stacked graph in FIG. 9 (see the top row), the uppermost polygonal line is the power consumption data of the node κ, and the breakdown (b + c + d + e) of each layer can be understood.

  Also, instead of an operation (such as double-clicking with the mouse) that specifies a node to display a graph on the tree view, an operation that specifies one of the displayed graphs corresponding to the node (double-clicking with the mouse) The same thing happens when you click.

  For example, the operation of displaying the stacked graph related to the lower node b can be performed from the tree view. However, in FIG. 9, the lower node b included therein is displayed on the stacked graph display screen related to the node κ. An example of displaying a stacked graph related to the lower node b by designating is shown.

  In this way, by specifying one of the displayed graphs, it is possible to further display the detailed breakdown of the graph, that is, to perform screen transition (hereinafter referred to as “drill-down”) related to the detailed display. Therefore, it is possible to intuitively grasp the actual state of power consumption.

  However, only the terminal node (for example, v) in the tree structure of the power system has no breakdown when the graph is displayed, so one graph (only the power consumption data of the node (terminal node)) ( (The lowermost stage in FIG. 9).

FIG. 11 is an explanatory diagram showing the measurement data visualization screen according to Embodiment 1 of the present invention in the power system ratio display, and shows an example of visualizing the power consumption ratio for each node of the power system instead of the graph display. .
In FIG. 11, the power consumption per unit time (for example, one day, one week, one month, etc.) of each node can be accumulated from the graph, and the result can be visualized as a ratio of the power consumption. it can.

As shown in FIG. 11, in the method of visualizing the power consumption ratio, the horizontal width of each table (right side) indicates the size of the ratio, and for example, the ratio display of three layers is possible.
For example, in the upper table, the ratio (b> c = d> e) of the lower nodes (b, c, d, e) in the visualization target node (κ) is shown, and the lower nodes of the lower node (b) The ratios f to i can also be displayed together.

Further, instead of displaying the visualization screen from the tree view, it is also possible to drill down by clicking on the visualization screen of the power consumption ratio.
FIG. 11 shows an example in which the visualization screen of the power consumption rate for the lower node b is presented by clicking and specifying the lower node b on the visualization screen of the power consumption rate for the visualization target node κ. Yes.

  That is, in the lower table obtained by drilling down the upper table, the ratio of the lower nodes f to i of the lower node (b) (f> g> h = i) and the lower node of the lower node (f) The ratio of nodes p to r and Δ (similarly, the ratio of subordinate nodes t to v of g) can be displayed together.

  Conventionally, in order to realize the visualization screen such as the stacked graph (FIG. 9) and the ratio display (FIG. 11) and the drill-down related thereto, the setting and tabulation of data displayed in the stacked graph and the ratio display, Although the relationship between the drill-down source and the drill-down destination has also been set manually, in Embodiment 1 of the present invention, it can be automatically extracted.

Therefore, according to the first embodiment of the present invention, it is possible to reduce the labor involved in engineering the visualization screen for intuitively performing the work of grasping the actual state of power consumption.
That is, in the first embodiment of the present invention, the power consumption along the power system is applied by applying to the power system the rules for displaying the stacked graph and the ratio display using the child nodes of the parent node as graph elements. It is possible to automate the settings related to drilldown and ratio display in visualization for grasping the actual quantity.

  In FIG. 3, the power system total data processing unit 45 and the spatial structure total data processing unit 55 (and the measurement device total display generation unit 36 as necessary) are used as software configurations for automatic processing. However, it may be configured as shown in FIG. 12 so as to be applicable to the conventional apparatus (FIG. 40).

  FIG. 12 is a block diagram showing another software configuration example of the power consumption measurement data processing apparatus 1 according to the first embodiment of the present invention. The same components as those described above (see FIGS. 3 and 40) are the same as those described above. The same reference numerals are given. The configuration of the search key display generation unit 105 (not shown) is as shown in FIG.

  12, the power consumption measurement data processing apparatus 1 includes various setting units 41, 43, 51, 53, 91 for setting various setting data 42, 44, 52, 54, 92 similar to those described above (FIG. 3). The power system setting data conversion unit 47 and the power system measurement point correspondence setting data conversion unit 48 that constitute the power system aggregation data processing unit 45, and the space structure setting data conversion unit 57 and the space that constitute the space structure aggregation data processing unit 55 And a structural power system correspondence setting data conversion unit 58.

  Further, the power consumption measurement data processing apparatus 1 in FIG. 12 includes various setting units 31 and 33 for setting various setting data 32 and 34 as described above, a measurement device configuration setting data conversion unit 37, as necessary, A measuring device configuration measuring point correspondence setting data conversion unit 38.

The power system setting data conversion unit 47, the space structure setting data conversion unit 57, and the measurement device configuration setting data conversion unit 37 generate search key setting data 102.
The power system measurement point correspondence setting data conversion unit 48, the spatial structure power system correspondence setting data conversion unit 58, and the measuring device configuration measurement point correspondence setting data conversion unit 38 generate search key measurement point correspondence setting data 104. .

In addition, the power system measurement point correspondence setting data conversion unit 48 and the spatial structure power system correspondence setting data conversion unit 58 generate virtual measurement point setting data 96.
In FIG. 12, the various setting data 102, 104, 96, and 92 that are finally generated are settings that can be recognized by the conventional apparatus (FIG. 40).
The spatial structure will be described later together with the second embodiment.

Next, the operation of another configuration example of the first embodiment of the present invention shown in FIG. 12 will be described with reference to FIG.
FIG. 13 is a flowchart showing a processing procedure according to the software configuration of FIG. 12, and the same processes as those described above (see FIG. 4) are denoted by the same reference numerals. The operation stage processing (steps S31 to S33) corresponds to the operation stage processing (steps S211 to S213) described above (see FIG. 41).

In FIG. 13, the processing at the setting stage (steps S1 to S4) is the same as that described above (FIG. 4), and thus description thereof is omitted here.
In this case, following the setting process (step S4), the process proceeds to a conversion stage process (steps S21 to S25) by the various conversion units 47, 48, 57, 58, 37, and 38.

First, if necessary, the measurement device configuration setting data conversion unit 37 generates hierarchical structure setting data (search key setting data 102) from the measurement device configuration setting data 32 (step S21).
Further, as necessary, the measuring device configuration measurement point correspondence setting data conversion unit 38 obtains hierarchical structure measurement point correspondence setting data (search key measurement point correspondence setting data) from the measurement device configuration measurement point correspondence setting data 34. 104) is generated (step S22).

Next, the power system setting data conversion unit 47 generates hierarchical structure setting data (search key setting data 102) from the power system setting data 42 (step S23).
Subsequently, the electric power system measurement point correspondence setting data conversion unit 48 and the spatial structure electric power system correspondence setting data conversion unit 58 generate virtual measurement point setting data 96 that uses data aggregation based on the electric power system as a calculation formula ( Step S24).

  Further, the power system measurement point correspondence setting data conversion unit 48 generates hierarchical structure measurement point correspondence setting data (search key measurement point correspondence setting data 104) from the power system measurement point correspondence setting data 44 (step S25).

Next, the process proceeds to operation stage processing (steps S31 to S33).
First, the measurement processing unit 21 and the measurement data storage unit 23 (FIG. 3) collect and store power consumption data measured at each measurement point (step S31).
Subsequently, the virtual measurement point total data processing unit 97 (FIG. 40) calculates virtual measurement points (step S32).

  Finally, the search key display generation unit 105 (FIG. 40) generates a display screen as a hierarchical structure in order to use the calculated measurement point data as a visualization screen, and the measurement data display generation unit 94 (FIG. 40). ) Generates a graph display screen of each measurement data (step S33), and ends the processing routine of FIG.

  In FIG. 12, since the power system setting data 42 is data indicating a hierarchical structure, it can be converted into search key setting data 102 that can be interpreted by the conventional apparatus (FIG. 40). Furthermore, the power system setting data 42 and the power The system measurement point correspondence setting data 44 can be converted into search key measurement point correspondence setting data 104 (setting data indicating which measurement point belongs to which search key) that can be interpreted by the conventional apparatus.

Further, since the recursive process (steps S42 to S56) described above (FIG. 8) is a process performed to determine how to calculate the power consumption data of each node of the power system 11, this recursive process is performed. The calculation method of the data of each node extracted by using can be applied to steps S24 and S25 processed by the power system measurement point correspondence setting data conversion unit 48, and the virtual measurement point setting that can be interpreted by the conventional apparatus. Data 96 can be output.
This can also be applied to the executable script format described above (paragraph 0176).

  The measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data 34 are data indicating only the correspondence between the measurement points and the hierarchical structure of the measurement devices, and it is not necessary to output virtual measurement points. Similarly, conversion into search key setting data 102 and search key measurement point correspondence setting data 104 that can be interpreted by a conventional apparatus is possible.

  Therefore, according to the configuration of FIGS. 12 and 13, the setting data can be converted into the virtual measurement point and the search key even in the conventional apparatus (FIG. 40). Similar automatic processing is possible.

  As described above, the power consumption measurement data processing device 1 (energy consumption measurement data processing device) according to the first embodiment (FIGS. 1 to 13) of the present invention uses the power consumption ( In order to collect the measurement data 25 related to (energy consumption) and totalize and process the measurement data 25, the power system total data 26 (energy system total data) which is total data along the power system 11 (energy system) The power system total data processing unit 45 (energy system total data processing unit) is provided.

  The power system total data processing unit 45 (energy system total data processing unit) is a power system in which the power system setting data 42 (energy system setting data) and the correspondence relationship between the power system setting data 42 and the measurement point setting data 92 are set. From the measurement point correspondence setting data 44 (energy system measurement point correspondence setting data), the power system total data 26 is generated, or settings for generating the power system total data 26 (various settings in FIG. 12) Data 102, 104, 96, 92) is output.

  In addition, the power system total data processing unit 45 uses the power system total data 26 obtained by adding the power transmission loss Δ (energy transmission loss) to the location where the branch points of the power system 11 are comprehensively measured. Generate or output settings for generating the power system total data 26.

  Moreover, the power consumption measurement data processing apparatus 1 according to Embodiment 1 (FIG. 3) of the present invention is a power system total display generation unit 46 (energy system total display generation unit) for displaying the power system total data 26. The power system total display generation unit 46 displays the power system total data 26 hierarchically along the power system setting data 42 or outputs settings for hierarchical display.

  Furthermore, the power consumption measurement data processing apparatus 1 according to Embodiment 1 (FIG. 3) of the present invention includes a measurement device total display generation unit 36 for displaying the measurement data 25, and generates a measurement device total display generation. The unit 36 measures the measurement data 25 from the measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data 34 in which the correspondence between the measurement point setting data 92 and the measurement device configuration setting data 32 is set. Display along the configuration setting data 32 or output settings for display.

As a result, it is possible to automatically generate a visualization screen that is easy to understand and a tabulation process for the visualization screen (FIGS. 9 to 11), and to generate a visualization screen and set a tabulation process for the visualization screen. The engineering effort can be reduced.
In addition, as a display target of energy consumption, effective display can be performed for the most general power consumption.

Embodiment 2. FIG.
In the first embodiment (FIGS. 1 to 4), the power system total data 26 is acquired mainly for automatically realizing the visualization screen along the power system 11, but in addition to this, In order to automatically realize the visualization screen along the spatial structure, the spatial structure aggregate data (aggregated data 26) may be acquired as shown in FIG.

FIG. 14 is a flowchart showing a processing procedure (setting, operation) according to the second embodiment of the present invention. The same processing as that described above (see FIG. 4) is denoted by the same reference numeral.
FIG. 15 is an explanatory diagram showing a mutual relationship (spatial structure power system correspondence setting data 54) between the power system setting data 42 and the space structure setting data 52 according to the second embodiment of the present invention.

FIG. 16 is a flowchart showing the data totaling process based on the spatial structure according to the second embodiment of the present invention, and FIG. 17 shows the measured data visualization screen according to the second embodiment of the present invention as a spatial structure graph display and a spatial structure ratio. It is explanatory drawing shown by a display.
FIG. 18 is a flowchart showing another example of the processing procedure according to the second embodiment of the present invention.

  The power system 11 to which the second embodiment of the present invention is applied is assumed to be in the factory or business entity 17 (building in the factory premises) described above (FIG. 2). The software configuration of the power consumption measurement data processing apparatus 1 is as shown in the block diagram of FIG.

  3 and FIG. 14, first, in the setting stage, as in the above (FIG. 4), the power system setting unit 41 creates power system setting data 42 (step S1), and the measurement point setting unit 91 sets the measurement point. Data 92 is created (step S2), and the power system measurement point correspondence setting unit 43 creates power system measurement point correspondence setting data 44 (step S4).

  If necessary, before step S4, the measurement device configuration setting unit 31 and the measurement device configuration measurement point correspondence setting unit 33 store the measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data 34. Create (step S3).

Subsequent to step S4, the space structure setting unit 51 creates space structure setting data 52 (step S5).
At this time, the space structure setting data 52 may be directly described. As shown in FIG. 3, a separate space structure setting unit 51 is provided, and the space structure setting data 51 is set by the space structure setting unit 51. It may be configured.

The space structure setting data 52 is data that hierarchically describes the spatial arrangement of the building.
Although what kind of spatial structure description the spatial structure setting data 52 becomes depends on the target application, generally, there are several buildings in the site, site → building → floor → room. There are several floors in the building, and each floor has several rooms).

When the spatial structure setting data 52 is created for the building in the factory premises described above (FIG. 2), the tree structure shown on the right side in FIG. 15 is obtained.
In FIG. 15, for a building not shown in FIG. 2, a node “others” (“area other”, “building or floor other”) is provided.

Next, the spatial structure power system correspondence setting data 54 is created (step S6).
The spatial structure power system correspondence setting data 54 indicates which node of the tree structure of the power system 11 is supplying power to which space of which building, as indicated by the broken arrow in FIG. It is described by correspondence between 42 nodes (each branch point) and nodes of the spatial structure setting data 52.

  The spatial structure power system correspondence setting data 54 may be directly described. As shown in FIG. 3, a spatial structure power system correspondence setting unit 53 is separately provided and set by the spatial structure power system correspondence setting unit 53. You may comprise as follows.

The spatial structure power system correspondence setting unit 53 may be provided as a part of the power system setting unit 41, may be provided as a part of the spatial structure setting unit 51, or the power system setting unit 41. The space structure setting unit 51 and the like may be provided separately and independently.
Furthermore, the spatial structure power system correspondence setting unit 53 may be provided as a collective setting unit in which the setting functions of the power system setting unit 41, the space structure setting unit 51, and the spatial structure power system correspondence setting unit 53 are integrated. Good.

  FIG. 15 shows a situation in which the left power system tree structure and the right spatial structure tree structure are associated by broken line arrows, and the association information indicated by the broken line arrows indicates the spatial structure power system correspondence setting data 54. It becomes.

  From that point of view, in the example shown in FIG. 15, the power system setting data 42 is set in the form of a power system tree view with dedicated setting software operating on a personal computer, for example, as in the first embodiment. The

  Similarly, the spatial structure setting data 52 is set in the form of a spatial hierarchical structure tree view with dedicated setting software that operates on a personal computer, as shown in a tree structure space structure tab in FIG. 17 to be described later, for example. .

  Also, the spatial structure power system correspondence setting data 54 indicates which node of the power system tree view of the power system setting data 42 is supplying power to which node of the spatial hierarchical structure tree view of the space structure setting data 52. (Or from which node in the power system tree view each node in the spatial hierarchical structure tree view receives power supply) is described.

In this case, in FIG. 15, “branch node” of the power system tree structure may be associated with the spatial structure node instead of associating the “terminal node” of the power system tree structure with the spatial structure node one by one.
In this way, it is described that the end node of the spatial structure node is supplied with power from any one or more of the nodes of the power system tree structure without omission.

  When the same power system node spans multiple spatial structures, a new virtual node (child node of the power system that is not subject to measurement) is newly set as a lower node of the power system node, and the virtual node Then, the proportional distribution ratio is set, and the correspondence between the virtual nodes and the spatial structure nodes is described.

  Hereinafter, at the end of the setting stage in FIG. 14, the measurement point setting data 92, the measurement device configuration setting data 32, the measurement device configuration measurement point correspondence setting data 34, and the power system setting data 42 created in steps S <b> 1 to S <b> 6. The power system measurement point correspondence setting data 44, the space structure setting data 52, and the space structure power system correspondence setting data 54 are written in the power consumption measurement data processing apparatus 1.

  At this time, as described in the first embodiment, the various setting data may be written equally to all of the plurality of power consumption measurement data processing devices 1, and the power consumption measurement data processing device (α) 1 may be written. Only the relevant part may be cut out and written.

Next, an operation stage (a procedure for generating a visualization screen along the power system and the space structure) in FIG. 14 will be described.
In the operation paragraph, first, similarly to the above, power consumption data is collected and stored (step S11), and if necessary, a display screen according to the measurement device configuration is generated (step S12). Further, the data based on the power system is totaled (step S13), and a display screen along the power system is generated (step S14).

  In this case, following step S13, in addition to executing the visualization screen generation process (step S14), the spatial structure total data processing unit 55 follows the spatial structure described in the spatial structure setting data 52. Based on the spatial structure power system correspondence setting data 54 describing the correspondence with the power system setting data 42, the total data 26 is processed (step S15).

  Finally, the spatial structure totalization display generation unit 56 visualizes the processed total data 26 along the spatial structure and displays the graph (step S16), and ends the processing routine of FIG.

  Note that the aggregation process in step S15 may be executed in parallel with the process of collecting and storing power consumption data (step S11) as described in the first embodiment, and there is a request for graph display. It may be executed on demand.

FIG. 16 is a flowchart showing the counting process according to the second embodiment of the present invention. The same processes as those described above (see FIG. 8) are denoted by the same reference numerals.
The unique tabulation process in FIG. 16 is executed after the tabulation process described above (FIG. 8) is completed.

In FIG. 16, first, a factory or business entity (κ) 17 is set as a processing target node (step S61), and the process proceeds to a recursive process (within a one-dot chain line frame).
In the recursive process, first, the process branches according to the determination result of whether or not the processing target node (that is, the node κ in FIG. 2) has a lower tree structure (step S42).

  In this case, as shown in FIGS. 2 and 15, since the processing target node κ has a lower tree structure, all the lower nodes of the processing target node κ (building or floor α, β, γ, etc.) Is subjected to recursive processing (steps S43 and S44).

  Specific recursion processing will be described later. After all recursion processing is completed, processing is performed according to the determination result of whether or not the correspondence relationship between the processing target node κ and the power system node is set (step S62). Branches off.

  If it is determined in step S62 that the power system node corresponding to the processing target node κ is set (that is, Yes), the power consumption data of the power system node is adopted as the power consumption data of the processing target node κ. Then (step S63), the recursive process of FIG. 16 is terminated.

  On the other hand, if it is determined in step S62 that the power system node corresponding to the processing target node κ is not set (that is, No), the total power consumption of the lower nodes is calculated as the power consumption data of the processing target node κ. (Step S49), the recursive process of FIG. 16 is terminated.

In step S49, if even one of the lower nodes has no data, the process target node κ also has no data.
In this case, since the factory or business entity (κ) 17 has a relationship setting corresponding to the power system (κ) 11, the power consumption data of the power system (κ) 11 that has already been calculated in the aggregation process is stored in the factory. Alternatively, it is adopted as power consumption data of the business entity (κ) 17.
This completes the recursive processing of the processing target node κ.

Next, the recursion process for the building or floor (α) 16 will be described.
As shown in FIG. 2 and FIG. 15, the building or floor (α) 16 has a lower tree structure. Therefore, the process branches from step S 42 to steps S 43 and S 44, and the lower node of the building or floor (α) 16. Recursion processing is performed for all (area (1) 14, area (2) 14, and others).

  Specific recursion processing will be described later. After all recursion processing is completed, processing is performed according to the determination result of whether or not the correspondence relationship between the processing target node κ and the power system node is set (step S62). Branches off.

In this case, since the building or floor (α) 16 has been set to correspond to the power system (b) 11, the power consumption data of the power system (b) 11 that has already been calculated in the aggregation process is used as the building or the floor (α) 16. Adopted as the power consumption data of the floor (α) 16 (step S63), the processing routine of FIG.
This completes the recursion processing of the building or floor (α) 16.

Next, a recursive process for the area (1) 14 will be described.
Since there is no lower tree structure in area (1) 14, the process proceeds from step S42 to step S64, and according to the determination result of whether or not area (1) 14 has a corresponding relationship with the power system node. Processing branches.

  If it is determined in step S64 that the power system node corresponding to the area (1) 14 is set (that is, Yes), the power consumption data of the power system node is used as the power consumption data of the area (1) 14. Adopt (step S65), and the processing routine of FIG. 16 ends.

  On the other hand, if it is determined that the power system node corresponding to area (1) 14 is not set (that is, No), the process proceeds to step S54 (automatic calculation availability determination process), and the parent node and the sibling node circulate. If automatic calculation is possible without reference (step S55), if automatic calculation is not possible, it is determined that there is no data (step S56), and the processing routine of FIG. 16 ends.

  Here, since the relationship setting corresponding to the power system (f) 11 is made in the area (1) 14, the process proceeds from step S 64 to step S 65, and the power system (f) 11 that has already been calculated in the aggregation process. The power consumption data is adopted as the power consumption data of the area (1) 14 and the recursion process of the area (1) is completed.

The recursive processing of the area (2) 14, other, and the building or floor (β) 16, (γ) 16, other, and the factory or the business entity (λ) 17 is performed according to any of the contents described above. Therefore, the description here is omitted.
Thereby, the power consumption data of each node in the spatial structure can be aggregated. The same applies to the power system (λ) 11.

Note that the recursive process in FIG. 16 is a process performed to determine a method for calculating the power consumption data of each node, as described above, and usually requires a long processing time.
Therefore, from the viewpoint of shortening the processing time by omitting recursive processing as much as possible, it is executed only once at the beginning of the operation stage, and the calculation method obtained as a result is stored (or output in an executable script format). In addition, it is desirable to refer to the stored calculation method (execute the script) when it becomes necessary to calculate the data of each node.

  However, if the time required for recursive processing is short enough that there is no particular problem, such as when using hardware with high computational processing capacity, recursive processing is configured every time it is necessary. There is no problem.

Hereinafter, the spatial structure totalization display generation unit 56 visualizes the total data processed as described above along the spatial structure and displays it in a graph as shown in FIG.
The visualization screen shown in FIG. 17 is configured by adding a tree view capable of displaying and operating the hierarchical structure of the spatial structure to the visualization screen described above (FIG. 9).

  In FIG. 17, since power consumption data is present in all nodes (branch points) in the spatial structure by the above-described aggregation processing, an operation for specifying a node to be displayed in a graph on the tree view (such as double-clicking with a mouse). The power consumption data of the node is displayed in a graph. The display form of the graph is the same as in the case described above (FIG. 9).

  In the second embodiment of the present invention, calculation settings and visualization screen settings relating to all virtual measurement points necessary for visualization for grasping the actual state of power consumption along the spatial structure are automatically processed. For the purpose of grasping the actual state of power consumption along the spatial structure, only the necessary setting information is organized and the setting information (here, the interrelationship between the spatial structure hierarchy and the power system hierarchy) is set. It is possible to automatically realize the visualization screen (FIG. 17).

In other words, by applying the rule “data of parent node” = “sum of data of child nodes” to the spatial structure, all of the information required for visualization to understand the actual power consumption along the spatial structure It is possible to automate calculation settings related to virtual measurement points.
In addition, since these calculation results are directly associated with the display along the spatial structure, the setting of the visualization screen can be automated.

In addition, by applying the rules of “stacked graph” display and ratio display with the child nodes of the parent node as graph elements to the spatial structure, visualization for grasping the actual state of power consumption along the spatial structure It becomes possible to automate the settings related to drill down and ratio display.
Therefore, also in Embodiment 2 of the present invention, the same effect as in Embodiment 1 described above can be obtained.

Here, the specific effect of the second embodiment of the present invention is that, in the conventional apparatus, the spatial structure and the measurement point are associated with each other, but the spatial structure and the electric power system are associated with each other in the already processed electric power system. The point is that processing is performed in accordance with the spatial structure based on the totaled data.
As a result, even if the correspondence between the power system and the measurement points has changed (for example, the number of measurement points has been increased to measure in more detail), as long as the correspondence between the space structure and the power system does not change, the spatial structure And there is an effect that the settings relating to the power system need not be changed.

  In addition, even if the correspondence between the space structure and the power system has changed (for example, the space structure has changed due to relayout due to organizational changes, etc.) There is an effect that the settings relating to the measurement points need not be changed as they are.

In the above description, in order to automatically process various setting data, the software configuration of FIG. 3 is applied and the processing of FIG. 14 is executed. However, FIG. 18 is applicable to the conventional apparatus (FIG. 40). Processing may be executed.
FIG. 18 is a flowchart showing a processing procedure according to the second embodiment of the present invention that enables the application of the conventional apparatus (FIG. 40), and the same processing as that described above (see FIGS. 13 and 14) is the same as that described above. The code | symbol is attached | subjected.

The software configuration for executing the processing of FIG. 18 is as shown in FIG. In FIG. 18, the only processing different from that described above is that steps S26 to S28 are added as the conversion stage.
The processing (setting, conversion and operation) in FIG. 18 enables automatic processing similar to that described above by converting the setting data in advance even in a conventional apparatus.

In FIG. 18, following the creation process (step S6) of the spatial structure power system correspondence setting data 54 described above (FIG. 14), the process proceeds to the conversion stage, and the same process (steps S21 to S21) as described above (FIG. 13). S25) is executed.
Next, following step S25, hierarchical structure setting data (search key setting data 102) is generated from the spatial structure setting data 52 (step S26).

Further, virtual measurement point setting data 96 is generated using the calculation of the data summation based on the spatial structure (step S27).
Furthermore, hierarchical structure measurement point correspondence setting data (search key measurement point correspondence setting data 104) is generated from the spatial structure power system correspondence setting data 54 (step S28).

Thereafter, the operation stage is entered, and the measurement processing unit 21 and the measurement data storage unit 23 (FIG. 3) in the power consumption measurement data processing apparatus 1 collect and store the power consumption data measured at each measurement point (steps). S31).
The virtual measurement point total data processing unit 97 (FIG. 40) calculates virtual measurement points (step S32).

  Finally, the search key display generation unit 105 (FIG. 40) generates a display screen as a hierarchical structure in order to use the calculated measurement point data as a visualization screen, and the measurement data display generation unit 94 (FIG. 40). ) Generates a graph display screen of each measurement data (step S33), and ends the processing routine of FIG.

  In the above conversion stage, the spatial structure setting data 52 (see FIGS. 3 and 12) obtained in step S26 is data indicating a hierarchical structure in the same way as other setting data, and therefore can be interpreted by the conventional apparatus (FIG. 40). Conversion to the search key setting data 102 is possible.

  Further, virtual measurement point setting data 96 (step S27) relating to the spatial structure converted from the spatial structure setting data 52 (step S26) and the spatial structure power system correspondence setting data 54 (step S28), and the power system setting data 42 The search key measurement point correspondence setting data 104 that can be interpreted by the conventional apparatus (FIG. 40) from the virtual measurement point setting data 96 (step S24) related to the power system converted from the power system measurement point correspondence setting data 44. Conversion to is also possible.

Furthermore, since the recursive process in FIG. 16 is a process performed to determine how to calculate the power consumption data of each node in the spatial structure, each node extracted using this recursive process This data calculation method can be applied to steps S27 and S28 processed by the spatial structure power system correspondence setting data conversion unit 58, and is output as virtual measurement point setting data 96 that can be interpreted by the conventional device (FIG. 40). be able to.
This can also be applied to the executable script format described above (paragraph 0260).

  As described above, the power consumption measurement data processing apparatus 1 (energy consumption measurement data processing apparatus) according to the second embodiment (FIGS. 1 to 3, 12, and 14 to 18) of the present invention has a spatial structure. The spatial structure total data processing unit 55 for generating the spatial structure total data 26 that is the total data along the spatial structure total data processing unit 55 includes the spatial structure setting data 52 and the power system setting data 42 ( The spatial structure aggregation data 26 is generated from the spatial structure power system correspondence setting data 54 (spatial structure energy system correspondence setting data) in which the correspondence between the energy system setting data) and the spatial structure setting data 52 is set, Alternatively, the setting (see FIGS. 12 and 18) for generating the spatial structure aggregate data 26 is output.

Moreover, the power consumption measurement data processing apparatus 1 according to the second embodiment of the present invention includes a spatial structure total display generation unit 56 for displaying the spatial structure total data 26, and the spatial structure total display generation unit 56. Displays the spatial structure aggregated data 26 hierarchically along the spatial structure setting data 52 (FIG. 17) or outputs settings for hierarchical display (see FIGS. 12 and 18).
Accordingly, as described above, it is possible to automatically extract the generation of the visualization screen that is easy to understand and the aggregation process for the visualization screen, thereby reducing the engineering effort.

Embodiment 3 FIG.
In the first and second embodiments (FIGS. 1 to 18), the power system tabulation is performed as the tabulation data 26 in order to automatically realize the visualization screen along the power grid 11 and the visualization screen along the spatial structure. In order to automatically realize a visualization screen for each type of the power consuming equipment 13 (see FIG. 2) that consumes power, in addition to this, the data and the spatial structure total data are acquired, as shown in FIG. The power consumption facility total data (total data 26) may be acquired.

  FIG. 19 is a block diagram showing a software configuration of the power consumption measurement data processing apparatus 1 according to the third embodiment of the present invention. Components similar to those described above (see FIG. 3) are denoted by the same reference numerals as described above. Detailed description is omitted.

  In FIG. 19, the power consumption measurement data processing device 1 includes a power consumption facility setting unit 61 in order to automatically realize a visualization screen for each type of the power consumption facility 13 in addition to the visualization screen along the power system. , A power consumption facility power system correspondence setting unit 63, a space structure power consumption facility correspondence relationship setting unit 59, a power consumption facility total data processing unit 65, and a power consumption facility total display generation unit 66.

  Further, the setting data storage unit 22 in the power consumption measurement data processing apparatus 1 includes the power consumption facility setting data 62 from the power consumption facility setting unit 61 and the power consumption facility power system correspondence relationship in addition to the various setting data described above. The power consumption facility power system correspondence setting data 64 from the setting unit 63 and the space structure power consumption facility correspondence setting data 60 from the space structure power consumption facility correspondence setting unit 59 are stored.

  Here, although not shown in order to avoid complication, the power consumption measurement data processing device 1 may have a measurement device configuration setting unit 31 and measurement device configuration setting data similar to those described above (FIG. 3) as necessary. 32, a measurement device configuration measurement point correspondence setting unit 33, a measurement device configuration measurement point correspondence setting data 34, and a measurement device total display generation unit 36 are provided.

In FIG. 19, the power system setting data 42 and the measurement data 25 are also input to the power consumption facility total data processing unit 65.
The power consumption facility setting data 62 is input to the power system total data processing unit 45, the space structure total data processing unit 55, the power consumption facility total data processing unit 65, and the power consumption facility total display generation unit 66.

The power consumption facility power system correspondence setting data 64 is input to the power system total data processing unit 45 and the power consumption facility total data processing unit 65, and the spatial structure power consumption facility correspondence setting data 60 is the spatial structure total data processing unit. 55 is input.
The power consumption facility total data processing unit 65 from the power consumption facility total data processing unit 65 is stored in the total data storage unit 24 and then input to the measurement data total processing unit 93, and the power system total data processing unit 45, power The data is input to various display generation units 46, 66, and 56 via the consumption facility total data processing unit 65 and the spatial structure total data processing unit 55.

Next, with reference to FIG. 20 and FIG. 21 together with FIG. 2, processing procedures in the setting stage and the operation stage according to the third embodiment of the present invention shown in FIG. 19 will be described.
FIG. 20 is a flowchart showing a processing procedure according to the third embodiment of the present invention. The same processing as that described above (see FIG. 4) is denoted by the same reference numeral and detailed description thereof is omitted.

First, the procedure of the setting stage will be described.
20, in the same manner as described above (FIGS. 4 and 14), the power system setting data 42 is created (step S1), the measurement point setting data 92 is created (step S2), and the power system measurement point correspondence setting data 44 is set. Creation (step S4) is performed.

  Further, as necessary, as shown by the one-dot chain line block before step S4, the measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data 34 (see FIG. 3) are created (step S3). Do.

Subsequently, the power consumption facility setting unit 61 creates power consumption facility setting data 62 (step S5A).
The power consumption facility setting data 62 may be created by classifying the power consumption facility for each type, and may be directly described. Alternatively, as shown in FIG. 19, a separate power consumption facility setting unit 61 may be provided, and the power consumption facility setting data 61 may be set by the power consumption facility setting unit 61.

Here, when the power consumption facility setting data 62 is created for the power consumption facility (hereinafter also simply referred to as “equipment”) shown in the configuration example of FIG. 2 (see FIG. 2), a tree structure on the right side in FIG. Become.
FIG. 21 is an explanatory diagram showing a mutual relationship (power consumption facility power system correspondence setting data 64) between the power system setting data 42 and the power consumption facility setting data 62 (equipment type setting data) according to the third embodiment of the present invention. is there. The tree structure on the left side in FIG. 21 shows power system setting data 42 similar to that described above (see FIG. 5A).

  2 and 21, power consumption facilities (A1) 13, (A2) 13, (B1) 13, and (B2) 13 are facilities that constitute a production line, so “production facility” is defined as the facility type. Then, “A1”, “A2”, “B1”, and “B2” are set as the power consumption facilities 13 belonging to the classification of “production facility”.

Moreover, since the power consumption facilities (X1) 13 and (X2) 13 are lighting fixtures, “lighting” is defined as the facility type, and “X1”, “ X2 "is set.
Similarly, since the power consumption facilities (Y1) 13 and (Y2) 13 are air conditioners, “air conditioning” is defined as the facility type, and “Y1”, “Y2” is set.

Although not shown in the configuration example of FIG. 2, in addition to the above, “OA device” or the like can be considered as a classification of equipment types as shown in FIG. 21.
In addition, for those that do not deserve to be defined as the category of equipment type, it is possible to define “other” as the class of equipment type and set the power consuming equipment 13 as belonging to the “other” class. .

Returning to FIG. 20, next, the power consumption facility power system correspondence setting unit 63 creates power consumption facility power system correspondence setting data 64 (broken line arrow in FIG. 21) (step S6A).
The power consumption facility power system correspondence setting data 64 indicates which node the power consumed by each power consumption facility 13 is in the tree structure of the power system 11 (left side in FIG. 21). This is data describing the setting of which power consuming equipment consumes the power of the node.

  In other words, the power consumption facility power system correspondence setting data 64 includes each power consumption facility 13 (the tree structure on the right side in FIG. 21) in the power consumption facility setting data 62 and each node (in FIG. 21) of the power system setting data 42. The tree structure on the left side of

  The power consumption facility power system correspondence setting data 64 may be described directly, or, as shown in FIG. 19, a power consumption facility power system correspondence relationship setting unit 63 is provided separately, and the power consumption facility power system correspondence relationship is provided. The setting unit 63 may be configured to set the power consumption facility power system correspondence setting data 64.

Further, the power consumption facility power system correspondence setting unit 63 may be provided as a partial function in the power system setting unit 41 or may be provided as a partial function in the power consumption facility setting unit 61.
Furthermore, the power consumption facility power system correspondence setting unit 63 may be provided separately from the power system setting unit 41 and the power consumption facility setting unit 61, or the power system setting unit 41, the power consumption facility It may be provided as a collective setting unit in which the setting functions of the setting unit 61 and the power consumption facility power system correspondence setting unit 63 are integrated.

  In FIG. 21, the tree structure (left side) of the power system (κ) 11 and the tree structure (right side) of the power consumption facility setting data 62 are associated with a broken line arrow, and the association information indicated by the broken line arrow indicates power. This is the consumption facility power system correspondence setting data 64.

In that sense, in the example shown in FIG. 21, the power system setting data 42 is set in the form of a power system tree view with dedicated setting software that operates on a personal computer, for example, as in the first embodiment. Is done.
Similarly, the power consumption facility setting data 62 is set in the form of a power consumption facility classification tree view with dedicated setting software operating on a personal computer, as shown in a tree view consumption facility tab in FIG. Is done.

  In addition, the power consumption facility power system correspondence setting data 64 (broken arrows) indicates which node in the power consumption facility classification tree view of the power consumption facility setting data 62 for each node of the power system tree view of the power system setting data 42. It is described by setting whether the node is consuming power (or from which node of the power system tree view each node of the power consuming equipment classification tree view is supplied with power).

Note that in this case, the facility consumes the power of the “terminal node” of the power system tree structure. This is because a situation in which equipment is consuming the power of the “branch node” in the power system tree structure cannot actually occur.
However, if a situation occurs in which equipment is consuming the power of the “branch node” in the power system tree structure, one terminal node is added to the branch node, and the power of the added terminal node is added. The power system tree structure and the facility may be described so that the facility is consumed.

In the initial state in which the relationship of which node consumes which power in the power system 11 is set, the proportional distribution ratios are all equally proportional.
In other words, the proportional distribution ratios are all treated as equal proportional distributions for portions where the proportional distribution ratio is not set.

When there is one facility that consumes the power of one power system node, it is not necessary to proportionally distribute the power consumption data of that node (that is, the proportional distribution ratio is 100%).
When there are two or more facilities that consume power of one power system node, in the initial state in which the association is set, the power consumption data of the node is equally distributed (for example, there are two facilities). In some cases, the proportional distribution ratio is 50% each).

However, if the proportional distribution ratio of two or more facilities is empirically known, a proportional distribution ratio is set separately.
In the example of FIG. 21, the power consuming equipment (X1) 13 and (Y1) 13 consumes the power of the power system node p, and the proportional distribution ratio is set as X1 = 60% and Y1 = 40%. Show.
On the other hand, regarding the power of the power system node t, even though the power consuming facilities (X1) 13 and (Y1) 13 are consuming, the proportional distribution ratio is shown and the proportional distribution ratio is not particularly set. ing.

  Note that “other equipment” is virtually added to the end node of the power system tree structure that does not supply power to any equipment (that is, the correspondence relationship with the equipment is not described), and virtual A typical “other equipment” may be set so as to occupy the power supply of the end node of the power system tree structure.

  Finally, measurement point setting data 92, measurement device configuration setting data 32, measurement device configuration measurement point correspondence setting data 34, power system setting data 42, power system measurement point correspondence setting data 44, power generated in the setting stage The consumption facility setting data 62 and the power consumption facility power system correspondence setting data 64 are written in the power consumption measurement data processing apparatus 1 (FIG. 19) in FIG.

  At this time, each setting data may be written equally to all the power consumption measurement data processing devices 1 shown in FIG. 2, and only the portion corresponding to the power consumption measurement data processing device (α) 1 is cut out. You may make it write. This is as described in the first embodiment.

Returning to FIG. 20, the processing procedure in the operation stage (generation of visualization screen for each equipment type and visualization screen taking into account the equipment type along the power system) will be described.
In the operation stage, first, similarly to the above, power consumption data is collected and stored (step S11), and data is summed up based on the power system 11 (step S13). Further, if necessary, the measurement device total display generation unit 36 (see FIG. 3) creates a display screen along the measurement device (step S12).

  Subsequently, the power consumption facility total data processing unit 65 determines the power consumption of each facility based on the power consumption facility power system correspondence setting data 64 describing the correspondence between the power system setting data 42 and the power consumption facility setting data 62. Data is determined (step S17).

Moreover, the power consumption facility total display generation unit 66 visualizes the power consumption data of each facility and displays the graph (step S14A).
Subsequently, the power system total data processing unit 45 sets the power consumption facility power system correspondence relationship describing the correspondence relationship with the power consumption facility setting data 62 along the power system 11 described in the power system setting data 42. Based on the data 64, the total data is processed while considering the equipment type (step S15A).

  Furthermore, the power system total display generation unit 46 visualizes the total data processed by the power system total data processing unit 45 along the power system 11 and displays it in a graph, along the power system 11 (including the equipment type). ) A display screen is generated (step S16A), and the processing routine of FIG.

In step S <b> 17, the power consumption data of each power consumption facility 13 is determined with reference to the power consumption facility power system correspondence setting data 64 in order of the power consumption facility setting data 62.
As described in the first embodiment, this determination process may be executed in parallel with collecting and storing power consumption data, and is executed on demand when a graph display is requested. May be.

  2 and 21, the power consuming equipment (A1) 13 in the area (1) 14 consumes the power of the node q where the power meter (q) 12 is installed, and the power from the node q. Since only the power consumption facility (A1) 13 is being supplied, the power consumption data of the node q is used as the power consumption data of the power consumption facility (A1) 13.

At this time, proportional distribution is performed according to the set ratio, but here, the proportional distribution is performed. In this case, since only the power consuming equipment (A1) 13 exists, A1 = 100%.
Similarly, the power consumption facility (A2) 13 in the area (2) 14 becomes the power consumption data of the node u, and the power consumption facility (B1) 13 in the area (1) 14 becomes the power consumption data of the node r. The facility (B2) 13 in the area (2) 14 becomes the power consumption data of the node v.

  The power consuming equipment (X1) 13 in the area (1) 14 is consuming the power of the node p, but the power is supplied from the node p in addition to the power consuming equipment (X1) 13. Since the consumption facility (Y1) 13 exists, the power consumption data of the node p is proportionally distributed at the set ratio.

In this case, since the proportional distribution ratio is X1 = 60% and Y1 = 40%, 60% of the power consumption data of the node p becomes the power consumption data of the power consumption facility (X1) 13, and the power consumption facility (Y1 ) 13 is 40% of the node p.
Similarly, the power consumption facilities (X1) 13 and (Y1) 13 in the area (2) 14 become 50% power consumption data of the node t.

Thus, since the power consumption data of each equipment is decided, the power consumption equipment total display generation part 66 can visualize and display the power consumption data of each equipment in a graph (Step S14A).
For example, as shown in the consumption equipment tab in the tree view of Embodiment 5 (FIG. 34) described later, the power consumption equipment is classified and displayed in a tree form, and a node for which a graph is to be displayed is designated (with a mouse). It is possible to display a visualization screen of the power consumption data of the facility by an operation (such as double-clicking).

  In the case of a ratio display, as in the graph display, the power consumption facility total data processing unit 65 corresponds the power consumption per unit time (for example, one day, one week, one month, etc.) to the value of the control information. The power consumption facility total display generation unit 66 may visualize the result of the totalization as a ratio of power consumption.

  The tabulation process (step S15A) taking into account the equipment type along the power system is executed in parallel with the process (step S11) of collecting and storing power consumption data as described in the first embodiment. Alternatively, it may be executed on demand when a graph display is requested.

Next, the totaling process (step S15A in FIG. 20) that takes into account the equipment type along the power system 11 will be described more specifically with reference to FIG. 22 together with FIGS.
FIG. 22 is a flowchart showing a totaling process taking into account the equipment type of the data based on the power system according to the third embodiment of the present invention. The same processes as those described above (FIGS. 8 and 16) are denoted by the same reference numerals. It is attached.

In FIG. 22, similarly to the above, a process of recursively counting from the top of the power system 11 (the root of the tree structure) is shown.
The aggregation process (recursion process) described above (FIG. 8) is necessary to determine the power consumption data of each facility. After that, as shown in FIG. It is necessary to perform the totaling processing (recursive processing).

In FIG. 22, first, the node κ is set as a processing target node (step S41), and the process proceeds to recursion processing.
In the recursive process, first, a collection for each classification of the processing target node κ is generated (step S71).
At this time, as shown in FIG. 21, there are “production equipment”, “lighting”, “air conditioning”, “OA equipment”, and “others” (see) as the classification of equipment type. An “Equipment” collection, “Lighting” collection, “Space” collection, “OA equipment” collection and “Other” collection are generated.

Subsequently, the process branches according to the determination result of whether or not the processing target node κ has a lower tree structure (step S42).
In this case, since the processing target node κ has a lower tree structure, the process proceeds from step S42 to step S43, and recursion processing is performed on all the lower nodes (b, c, d, e) of the processing target node κ. Is performed (steps S43 and S44).

Thereafter, in step S43, if it is determined that the recursive process has been completed for all of the lower nodes (that is, YES), the equipment in the collection for each equipment classification of the lower node is changed to the collection of the processing target node. It adds (step S72).
Finally, the power consumption data of the equipment in the collection for each equipment classification is totaled (step S73), and the recursive processing in FIG. 22 is terminated.

Next, recursion processing for node b will be described.
First, the “production equipment” collection, “lighting” collection, “space” collection, “OA equipment” collection, and “others” collection of the node b are generated (step S71). Subsequently, since the node b has a lower tree structure, recursion processing is performed on all the lower nodes (f, g, h, i) of the node b.

Next, recursive processing for the node f will be described.
First, the “production equipment” collection, “lighting” collection, “space” collection, “OA equipment” collection, and “others” collection of the node f are generated (step S71). Subsequently, since the node f has a lower tree structure, recursion processing is performed on all the lower nodes (p, q, r) of the node f.

Next, recursion processing for the node p will be described.
First, a “production equipment” collection, a “lighting” collection, a “space” collection, a p “OA equipment” collection, and a p “other” collection are generated for the node p (step S71).

Subsequently, since the node p does not have a lower tree structure, the process proceeds from step S42 to step S74, and it is determined whether there is a facility (power consumption facility) that consumes the power of the node p.
In FIG. 2 and FIG. 21, since the node p has power consumption facilities (X1) 13 and (Y1) 13, these power consumption facilities are added to the collection for each classification (step S75), and the collection for each classification is performed. The power consumption data of a certain power consumption facility is tabulated for each category of facility type (in consideration of the proportional distribution ratio) (step S76).

  In FIG. 21, since there is no power consumption facility of node p classified into “production facility”, “OA device”, and “other”, the “production facility” collection, “OA device” of node p in step S75. There is no equipment to be added to the “collection” and “others” collections, and the counting result in step S76 is also “0”.

  On the other hand, since the power consuming equipment (X1) 13 is classified as “lighting”, in step S75, the power consuming equipment (X1) 13 is added to the “lighting” collection of the node p, and in step S76, “ The sum of the power consumption data of all the facilities in the “lighting” collection (here, the power consumption data of the power consumption facility (X1) 13) is taken as the total result of the “lighting” of the node p.

In addition, since the power consuming equipment (Y1) 13 is classified as “air conditioning”, the power consuming equipment (Y1) 13 is added to the “air conditioning” collection of the node p in step S75, and “ The sum of the power consumption data of all facilities in the “air conditioning” collection (here, the power consumption data of the power consumption facility (Y1) 13) is set as the total result of the “air conditioning” of the node p.
This completes the recursive processing of node p.

  Similarly, when the recursive process is performed on the node q, as shown in FIG. 2 and FIG. 21, since there is the power consuming equipment (A1) 13 of the node q, in steps S75 and S76, the summation for each equipment type classification is performed. Done.

However, since there is no power consumption facility of the node q that is classified into “lighting”, “air conditioning”, “OA equipment”, and “others”, the counting result in step S76 is “0”.
Further, since the power consuming equipment (A1) 13 is classified as “production equipment”, in step S75, the power consuming equipment (A1) 13 is added to the “production equipment” collection of the node q. The power consumption data of the facility (A1) 13 is set as the total result of the “production facility” of the node q.
This completes the recursion process of the node q. The other node r is the same process and will not be described here.

As described above, since all the recursive processes of the lower nodes (p, q, r) of the node f have been completed, the aggregation results for each category of the equipment type of the lower node of the node f are totaled for the node f.
That is,
"Production equipment" collection of node f
= "Production equipment" collection of node p (here the collection is empty)
+ Node q “production equipment” collection (here A1)
+ Node r "production equipment" collection (B1 here)
= {A1, B1}
It is.

  In this way, each of “production equipment”, “lighting”, “air conditioning”, “OA equipment”, and “others”, which are classifications of equipment types, is totaled (here, “production equipment” of node f is totaled) The result is the sum of the power consumption data of the power consumption facility (A1) 13 and the power consumption data of the power consumption facility (B1) 13, and the recursive processing of the node f is completed.

The recursion process is similarly performed on the lower nodes (g, h, i) of the node b other than the node f. When all the recursion processes of these lower nodes are completed, the aggregation process on the node b is similarly performed. To complete the recursive processing of node b.
Thus, the recursive process of the processing target node κ is finally completed.

As described above, it is possible to perform aggregation for each classification of equipment types of all nodes of the power system (κ) 11. The same applies to other power systems (λ) 11.
Note that the recursive process in FIG. 22 is a process that is performed to determine how to calculate the power consumption data for each equipment type classification of each node of the power system 11 as described above. From the viewpoint of shortening the time (omitting recursive processing requiring a long processing time), it is desirable to execute only the first operation stage.

  That is, the calculation method obtained as the first execution result is stored (or output in an executable script format) and stored when it is necessary to calculate the data of each node. It is desirable to configure to refer to the calculation method (or to execute the script).

  However, as long as the time required for the recursive processing is short enough that there is no particular hindrance, such as when using hardware with high computational processing capacity, the recursive processing is performed every time it is necessary. Also good.

FIG. 23 and FIG. 24 are explanatory diagrams illustrating graph display examples generated by the power system total display generation unit 46 by the above processing. The total data including the equipment type along the power system 11 is displayed along the power system 11. A visualized display example is shown.
In FIG. 23 and FIG. 24, the visualization screen of the node (here, b) can be a power system graph, a power system ratio, an equipment type graph, and an equipment type ratio.

  For visualization by the power system graph, as shown in FIG. 23, the form of displaying the total power consumption of the node and the lower nodes in a graph (similar to the first embodiment and FIG. 9 described above), and the equipment type There is a form in which the total for each classification is displayed in a graph.

  FIG. 23 shows an example in which the total of production facilities for node b is displayed as a graph. Of the lower nodes of node b, nodes f and g have production facilities, and nodes h and i have nodes h and i, respectively. Since there is no production facility, only the nodes f and g are displayed in a graph in the production facility stacked graph display for node b.

  Further, for visualization of the power system ratio, as shown in FIG. 24, the form of displaying the total power consumption of the node and the lower nodes as a ratio (that is, the same as FIG. 11 of the first embodiment), and the equipment type There is a form in which the total for each category is displayed as a percentage.

  FIG. 24 shows an example in which the total of the production facilities for the node b is displayed as a percentage. Of the lower nodes of the node b, the production facilities are the nodes f and g, and the nodes h and i are the production. Since there is no equipment, only the nodes f and g are displayed in the ratio display of the production equipment for the node b.

  In addition, in the visualization by the facility type graph, as shown in FIG. 23, the form of displaying the total power consumption for each category of the facility type of the node as a graph, and the power consumption of each facility for each category of the facility type There is a form of displaying data in a graph.

  The “equipment type graph b (stacked)” in FIG. 23 shows an example in which the total power consumption for each type of equipment type in the node b is displayed as a graph. In this graph, the power consumption data of each facility existing in the collection for each facility type classification possessed by the node b may be displayed in a graph.

  In addition, the “facility type graph b (stacked) production facility” in FIG. 23 shows an example in which the power consumption data of each facility classified as “production facility” in the node b is displayed as a graph. In this graph, the power consumption data of each facility existing in the collection for each facility type classification of the node b may be displayed as a graph. Instead of displaying the graph from the tree view, it is also possible to display the graph by drilling down by selecting, for example, by clicking a production facility of the “equipment type graph b (stacked)”.

Furthermore, the visualization of the equipment type ratio has only a form in which the total amount of power consumption for each classification of the equipment type of the node is displayed as a ratio as shown in FIG.
FIG. 24 shows an example in which the total amount of power consumption for each category of equipment type at node b is displayed as a percentage. In this graph, the total of power consumption data per unit time of each facility existing in the collection for each facility type classification possessed by the node b may be displayed as a percentage.

  In the third embodiment of the present invention, although illustration and description are omitted, an output that can be applied to the conventional apparatus (FIG. 40) is generated in the same manner as described above (FIGS. 12, 13, and 18). May be.

  As described above, the power consumption measurement data processing device 1 (energy consumption measurement data processing device) according to the third embodiment (FIGS. 1, 2 and 19 to 24) of the present invention has the power consumption facility setting data 62. A power consumption facility total data processing unit 65 (energy consumption facility total data processing unit) for processing (energy consumption facility setting data), and the power consumption facility total data processing unit 65 includes power consumption facility setting data 62; From the power consumption facility power system correspondence setting data 64 (energy consumption facility energy system correspondence setting data) in which the correspondence relationship between the power system setting data 42 (energy system setting data) and the power consumption facility setting data 62 is set, the power Power consumption facility total data 26 (collection of energy consumption facilities) that is total data for each consumption facility (energy consumption facility) Or generating the data), or outputs the settings to produce the power consumption equipment aggregate data 26.

  In addition, the power consumption measurement data processing apparatus 1 according to Embodiment 3 (FIG. 19) of the present invention is a power consumption facility total display generation unit 66 (energy consumption facility total display for displaying the power consumption facility total data 26). The power consumption facility total display generation unit 66 displays the power consumption facility total data 26 along the power consumption facility setting data 62 or outputs settings for display.

  The power consumption facility total data processing unit 65 is total data for each type of power consumption facility along the power system 11 from the power consumption facility total data 26 and the power consumption facility power system correspondence setting data 64. The power system total data 26 for each power consumption equipment type (energy consumption equipment type) is generated, or settings for generating the power system total data 26 are output.

  In addition, the power system total display generation unit 46 displays the power system total data 26 for each power consumption facility type hierarchically along the power system setting data 42 or a setting for hierarchical display. Output.

  Moreover, the power consumption measurement data processing apparatus 1 according to Embodiment 3 (FIG. 19) of the present invention generates a spatial structure total data processing unit 55 for generating the spatial structure total data 26 that is total data along the spatial structure. The space structure totaling data processing unit 55 includes space structure setting data 52 and space structure power consumption facility correspondence setting data 60 (spatial structure) in which a correspondence relationship between the power consumption facility and the space structure setting data 52 is set. From the energy consumption facility correspondence relation setting data), the spatial structure total data 26 is generated or the setting for generating the spatial structure total data 26 is output.

  Thereby, similarly to the above, calculation settings and visualization screen settings relating to all virtual measurement points necessary for visualization for grasping the actual state of the power consumption along the power system 11 and the equipment type are automatically processed. For this purpose, it is necessary to organize the setting information necessary for this purpose, and to determine the actual power consumption amount according to the power system 11 and the equipment type, simply by setting the setting information (here, the equipment type, the power system hierarchical structure and the mutual relationship). Visualization screen for can be realized automatically.

  In other words, the third embodiment of the present invention applies the rule “data of parent node = sum of data of child nodes” to the power system 11 and the equipment type, so that the power along the power system 11 and the equipment type is applied. The calculation settings related to all virtual measurement points necessary for visualization for grasping the actual consumption amount are automated, and these calculation results are directly associated with the display along the power system 11. The visualization screen setting is also automated.

  Furthermore, in the third embodiment of the present invention, by applying the rule “display a stacked graph with a child node of a parent node as a graph element or display a ratio” to the power system 11 and the facility type. This is to automate the setting related to drill down and ratio display in the visualization for grasping the actual state of the power consumption along the power system 11 and the equipment type.

  That is, in the conventional device (FIG. 40), while the aggregation calculation necessary for visualization is manually set as the virtual measurement point by associating the equipment with the measurement point, the feature of the third embodiment of the present invention is that The power consumption equipment and the power system 11 are associated with each other, and the processing related to the power consumption equipment is performed based on the total data 26 along the already processed power system.

  As a result, even if the correspondence between the power system 11 and the measurement point changes (for example, the number of measurement points increases for more detailed measurement), the correspondence between the power consuming equipment and the power system 11 does not change. There is an effect that the settings relating to the power consuming equipment and the power system 11 need not be changed as they are.

In addition, even if the correspondence between the power consuming equipment and the power system 11 changes (for example, the power supply source for the equipment changes due to relayout due to organizational change, etc.), the correspondence between the power system 11 and the measurement point As long as the attachment is not changed, there is an effect that the settings relating to the power system 11 and the measurement points need not be changed as they are.
The conversion process for applying the technique described in the third embodiment of the present invention using the conventional apparatus (FIG. 40) is omitted, but as described above with reference to FIGS. In this case, the same effect is obtained.

Embodiment 4 FIG.
In the third embodiment (FIGS. 19 to 24), although the processing for automatically realizing the visualization screen according to the power system 11 and the facility type is described in detail, the spatial structure total data processing unit 55 and Although the specific processing of the spatial structure totalization display generation unit 56 is not mentioned, the processing may be performed as shown in FIGS.

FIG. 25 is a flowchart showing a processing procedure according to the fourth embodiment of the present invention. The same processes as those described above (see FIGS. 14 and 20) are denoted by the same reference numerals. In this case, step S6B is added as a final process in the setting stage.
The software configuration of the power consumption measurement data processing apparatus 1 according to the fourth embodiment of the present invention is as shown in FIG.

Hereinafter, the procedure of the setting stage and the operation stage will be described with reference to FIGS. 2, 19, and 25.
In the fourth embodiment of the present invention, not only the visualization screen along the power system 11 and the equipment type but also the visualization screen along the spatial structure is automatically realized by the processing of FIG.

  First, in the setting stage in FIG. 25, the power system setting data 42, the measurement point setting data 92, the power system measurement point correspondence setting data 44, the power consuming equipment setting data 62, and the power are the same as described above (FIG. 20). Consumed facility power system correspondence setting data 64 is created (steps S1, S2, S4, S5A, S6A), and measurement device configuration setting data 32 and measurement device configuration measurement point correspondence setting data 34 are set as necessary. Create (step S3).

Subsequently, as described above (FIG. 14), the spatial structure setting data 52 is created (step S5). The description of the spatial structure setting data 52 is as described above.
In step S5, when the spatial structure setting data 52 for the building in the factory site illustrated in FIG. 2 is created, the tree structure on the left side in FIG. 26 is obtained.
In FIG. 26, for a building (building or floor 16) not illustrated in FIG. 2, a node named “other” (“building other” and “area other”) is provided.

Finally, the spatial structure power consumption facility correspondence setting data 60 is created (step S6B), and the operation stage is entered.
Spatial structure power consumption equipment correspondence setting data 60 indicates in which area of which building the power consumption equipment is located, each node (each equipment) of power consumption equipment setting data 62, and spatial structure setting data 52. It is described by correspondence with each node.

  Spatial structure power consumption facility correspondence setting data 60 may be directly described, or, as shown in FIG. 19, a spatial structure power consumption facility correspondence setting unit 59 is provided separately, and the spatial structure power consumption facility correspondence relation is provided. The setting unit 59 may be configured to set the spatial structure power consumption facility correspondence relationship setting data 60.

The spatial structure power consumption facility correspondence setting unit 59 may be provided as a partial function of the power consumption facility setting unit 61 or a partial mechanism of the spatial structure setting unit 51. As illustrated in FIG. The setting unit 61 and the space structure setting unit 51 may be provided separately and independently.
Furthermore, the space structure power consumption facility correspondence setting unit 59 is provided as a collective setting unit that integrates the setting functions of the power consumption facility setting unit 61, the space structure setting unit 51, and the space structure power system correspondence setting unit 53. Also good.

  FIG. 26 is an explanatory diagram showing the spatial structure power consumption facility correspondence setting data 60. The spatial structure setting data 52 (left tree structure) and the power consumption facility setting data 62 (right tree structure) The situation associated with the power consumption facility correspondence setting data 60 (broken line arrow) is shown.

In that sense, in the example shown in FIG. 26, the power consuming equipment setting data 62 is set in the form of a power system tree view by dedicated setting software that operates on a personal computer.
Similarly, the space structure setting data 52 is set, for example, in the form of a space hierarchical structure tree view with dedicated setting software operating on a personal computer.

  In addition, the spatial structure power consumption facility correspondence setting data 60 (broken arrows) sets which node in the power hierarchical structure tree view each node of the power consumption facility tree view is arranged, or This is described by selecting and setting the facilities arranged in each node of the spatial hierarchical structure tree view from the nodes of the power consumption facility tree view.

  Instead of the setting operation for associating the equipment with the spatial structure, all the facilities receiving power supply from the power system may be associated with the spatial structure by the setting operation for associating the power system with the spatial structure. .

  For example, as shown in FIG. 15 described above, by associating the power system (f) 11 with the area (1) 14, the power supply from the power system (f) 11 is received from the above FIG. Since it is extracted that they are power consumption facilities (A1) 13, (B1) 13, (X1) 13, and (Y1) 13, these facilities can be associated with the area (1). Thereby, it is possible to simplify the setting operation for associating each of the facilities with the spatial structure.

  When there is an association from one facility to only one spatial structure, the proportional distribution ratio is 100%. On the other hand, when there is an association from a single facility to a plurality of spatial structures, the proportional distribution ratio is equal proportional distribution in the initial state, but is set as necessary.

  Returning to FIG. 25, the measurement point setting data 92, the measurement device configuration setting data 32, the measurement device configuration measurement point correspondence setting data 34, the power system setting data 42, and the power system measurement point correspondence created in steps S1 to S6B. The setting data 44, the power consumption facility setting data 62, the power consumption facility power system correspondence setting data 64, the space structure setting data 52 and the space structure power consumption facility correspondence setting data 60 are the power consumption measurement data at the end of the setting stage. It is written in the processing device 1.

  At this time, similarly to the above, it may be written equally to all the power consumption measurement data processing devices 1, or only the portion corresponding to the power consumption measurement data processing device (α) 1 may be cut out and written. .

Next, a description will be given of the operation stage (a procedure for generating a visualization screen in consideration of the equipment type along the spatial structure).
In the operation stage in FIG. 25, first, similarly to the above, power consumption data is collected and stored (step S11), and if necessary, a display screen according to the measurement device configuration is generated (step S12). .

  The power system total data processing unit 45 totals data based on the power system (step S13), determines the power consumption data of each facility (step S17), and the power consumption facility total display generation unit 66 A display screen (visualization screen) according to the type is generated (step S14A).

  In addition to this, the power system total data processing unit 45 takes into account the equipment type based on the power consumption equipment power system correspondence setting data 64 along the power system 11 described in the power system setting data 42. The total data is then processed (step S15A).

  Subsequently, the power system total display generation unit 46 visualizes the total data after processing by the power system total data processing unit 45 along the power system 11 and displays it in a graph, along with the power system 11 (including the equipment type). A display screen is generated (step S16A).

The spatial structure total data processing unit 55 also sets the spatial structure power consumption facility correspondence setting data 60 describing the correspondence relationship with the power consumption facility setting data 62 along the spatial structure described in the spatial structure setting data 52. The total data 26 is processed based on (step S15).
Finally, the spatial structure totalization display generation unit 56 visualizes the total data 26 processed by the spatial structure totalization data processing unit 55 along the spatial structure and displays it as a graph (step S16), and ends the processing routine of FIG. To do.

  As described above, the aggregation process may be executed in parallel with the process of collecting and storing power consumption data (step S11), and is executed on demand when a graph display is requested. Also good.

Next, the counting process (step S15) will be described more specifically with reference to FIG. 27 together with FIG. 2, FIG. 19, and FIG.
FIG. 27 is a flowchart showing the counting process procedure according to the fourth embodiment of the present invention. The same processes as those described above (see FIGS. 8, 16, and 22) are denoted by the same reference numerals.

The specific tabulation process in the fourth embodiment of the present invention is executed after the tabulation process according to the third embodiment described above (FIG. 22) is completed.
In FIG. 27, first, the factory or business entity (κ) 17 is set as a processing target node (step S61), and recursive processing is performed.

  The classification of equipment types includes “production equipment”, “lighting”, “air conditioning”, “OA equipment”, and “others”. In the recursive process, first, the “production equipment” collection of the processing target node κ, “ A “lighting” collection, a “space” collection, an “OA equipment” collection, and an “other” collection are generated (step S71).

Subsequently, the process branches according to the determination result of whether or not the processing target node κ has a lower tree structure (step S42).
In this case, since the processing target node κ has a lower tree structure, all of the lower nodes of the processing target node κ (building or floor (α) 16, (β) 16, (γ) 16, and others). A recursive process is performed (steps S43 and S44).

  Thereafter, if it is determined in step S43 that the recursive processing has been completed for all of the lower nodes (that is, YES), the power consumption data of the processing target node is set as the sum of the lower nodes (step S77), The equipment in the collection for each equipment classification of the node is added to the collection of the processing target node (step S72), and the power consumption data of the equipment in the collection for each equipment classification is totaled (step S73). 27 recursive processing is terminated.

Here, the recursion process for the building or the floor (α) 16 will be described.
First, a “production equipment” collection, a “lighting” collection, a “space” collection, an “OA equipment” collection, and an “other” collection of the building or floor (α) 16 are generated.

  2 and 26, since the building or floor (α) 16 has a lower tree structure, all the lower nodes of the building or floor (α) 16 (area (1) 14, A recursive process is performed on the area (2) 14, etc.

Here, the recursive processing for the area (1) 14 will be described.
First, the “production equipment” collection, the “lighting” collection, the “space” collection, the “OA equipment” collection, and the “other” collection in the area (1) 14 are generated.

  Subsequently, as shown in FIG. 26, since there is no lower tree structure in area (1) 14, the process proceeds from step S42 to step S74A, and whether or not there is equipment arranged in area (1) 14 (power The processing branches according to the determination result of whether or not the correspondence relationship with the consumption equipment node is set.

  If the power consuming equipment node arranged in area (1) 14 is set (the determination result in step S74A is YES), the sum of the power consuming data of these power consuming equipment nodes is calculated in area (1) 14. The power consumption data is adopted (step S78).

  On the other hand, if the power system node arranged in area (1) 14 is not set (if the determination result in step S74A is NO), it is determined that there is no power consumption data in area (1) 14 (step S56), the processing routine of FIG.

  In the example of FIG. 2, the power consumption facilities (A1) 13, (B1) 13, (X1) 13, and (Y1) 13 are arranged in the area (1) 14, and therefore these power consumption data Is used as the power consumption data of area (1) 14 (step S78).

Moreover, the power consumption data of these facilities are totaled for each category of the facility type (steps S75 and S76), and the processing routine of FIG. 27 is terminated.
In this case, since there is no equipment that consumes power in area (1) 14, it is not classified as “OA equipment” or “others”, so the “OA equipment” collection and “others” collection in area (1) 14. There is no additional equipment, and the total result is “0”.

  On the other hand, as shown in FIG. 26, since the power consuming facilities (A1) 13 and (B1) 13 are classified as “production facilities”, the power consuming facilities (A1) 13 and (B1) 13 are classified into the area (1) 14. The total power consumption data (here, the sum of the power consumption data of A1 and B1) of all the facilities in the “production equipment” collection of area (1) 14 is added to the “production equipment” collection of area (1). ) The total of 14 “Production facilities”.

  Further, since the power consuming equipment (X1) 13 is classified as “lighting”, the power consuming equipment (X1) 13 is added to the “lighting” collection in the area (1) 14 and the “lighting” in the area (1) 14 is added. The sum of the power consumption data of all facilities in the collection (here, the power consumption data of X1) is set as the total result of “illumination” in area (1) 14.

Furthermore, since the power consuming equipment (Y1) 13 is classified as “air conditioning”, the power consuming equipment (Y1) 13 is added to the “air conditioning” collection in the area (1) 14 and the “air conditioning” in the area (1) 14 is added. The sum of the power consumption data of all the facilities in the collection (here, the power consumption data of Y1) is set as the total result of “air conditioning” in area (1) 14.
This completes the recursion process for area (1) 14.

The area (2) 14 and other areas are the same as those described above, and the description is omitted here.
As described above, since all the recursive processing of the lower nodes (area (1) 14, area (2) 14, area, etc.) of the building or floor (α) 16 is completed, the lower level of the building or floor (α) 16 is next. The sum of the power consumption of the nodes is used as the power consumption data of the building or floor (α) 16, and the total result for each classification of the equipment type of the lower node of the building or floor (α) 16 is obtained as the building or floor (α ) 16 is counted.

That is,
Collection of “production equipment” on building or floor (α) 16 = collection of “production equipment” in area (1) 14 (here, A1, B1)
+ Collection of “production equipment” in area (2) 14 (A2, B2 here)
+ Area and other "production equipment" collections (here the collection is empty)
= {A1, B1, A2, B2}
It is.

  In this way, each of “Production equipment”, “Lighting”, “Air conditioning”, “OA equipment”, and “Others”, which are classifications of equipment types, is tabulated (here, the result of counting “Production equipment” of α) Completes the recursive processing of the building or floor (α) 16, which is the sum of A1 power consumption data, B1 power consumption data, A2 power consumption data, and B2 power consumption data.

In addition, the recursive processing of the building or floor (β) 16, (γ) 16, etc., and the factory or business entity (κ) 17, (λ) 17 is also performed according to any of the contents described above. Therefore, the description is omitted here.
As described above, the power consumption data of each node in the spatial structure can be aggregated.

Note that the recursive processing in FIG. 27 is performed in order to determine how to calculate the power consumption data of each node, as described above, so the processing time is shortened (recursive processing requiring a long processing time). Is executed only once in the operation, and the calculation method obtained as a result is stored (or output in an executable script format), and the data of each node is calculated. It is desirable to refer to the calculation method (execute the script) when the need arises.
However, as long as the time required for recursion processing is short enough that there is no problem, such as when using hardware with high calculation processing capacity, it may be configured to perform recursion processing whenever necessary. Good.

  FIG. 28 is an explanatory diagram showing a graph display example according to the fourth embodiment of the present invention, and the total data obtained from the above processing is visualized along the spatial structure by the spatial structure total display generation unit 56 (see FIG. 19). An example is shown.

The visualization screen shown in FIG. 28 is configured by adding a tree view capable of displaying and operating the hierarchical structure of the spatial structure to the visualization screen of the third embodiment described above (FIG. 23).
In FIG. 28, since all the nodes (branch points) in the spatial structure contain the power consumption data by the above aggregation processing, an operation for designating a node to be displayed as a graph on the tree view (such as double-clicking with a mouse). The power consumption data of the node is displayed in a graph.

Thereby, there exists an effect similar to the above-mentioned Embodiment 3.
In other words, it organizes the setting information necessary to automatically process the calculation settings and visualization screen settings for all virtual measurement points that are necessary for visualization for grasping the actual state of power consumption along the spatial structure. Only by setting the setting information (spatial structure and facility type and their mutual relationship), a visualization screen for grasping the actual state of power consumption along the space structure and facility type can be automatically realized.

  Specifically, by applying the rule “data of parent node = sum of data of child nodes” to the spatial structure and equipment type, visualization for grasping the actual state of power consumption along the spatial structure and equipment type By automating the calculation settings related to all virtual measurement points required for this, and further associating these calculation results with the display according to the spatial structure and equipment type, the setting of the visualization screen can be automated. .

  In addition, according to the fourth embodiment of the present invention, by applying a rule of displaying a “stacked graph” having a child node of a parent node as a graph element or displaying a ratio to a spatial structure and a facility type, It is possible to automate the setting related to drill down and ratio display in the visualization for grasping the actual state of the power consumption along the space structure and the equipment type.

  In contrast, in the conventional apparatus, the spatial structure and the measurement point are associated with each other, but in the fourth embodiment of the present invention, the spatial structure and the facility are associated with each other, and therefore, based on the aggregated data along the already processed facility. As a result of processing related to the spatial structure, the correspondence between facilities, power systems, and measurement points has changed (for example, the number of measurement points has increased in order to measure in more detail, or the power system in the middle has been changed. However, as long as the correspondence between the space structure and the facility does not change, there is a specific effect that the setting related to the space structure and the facility does not need to be changed as it is.

  Furthermore, even if the correspondence between the spatial structure and the equipment has changed (for example, the spatial structure has changed due to relayout due to organizational changes, etc.) There is an effect that it is not necessary to change the settings relating to the power system and the measurement points as they are.

  In addition, what kind of spatial structure description will depend on the target application, but instead of associating equipment with a spatial structure (such as an area), for example, by associating with a spatial structure (such as a production line) derived from production, A visualization screen for power consumption in line with production activities can be obtained automatically.

For example, the spatial structure power consumption facility correspondence setting data 60 can be set as shown in FIG. 29 instead of being set as shown in FIG.
FIG. 29 is an explanatory diagram showing another example of the spatial structure power consumption facility correspondence setting data 60 (broken arrows) according to the fourth embodiment of the present invention, in the case where the spatial structure is a production line structure. The mutual relationship between the data 52 and the power consumption facility setting data 62 is shown.

  In FIG. 29, since “lighting” is provided to the power consuming equipment (X1) 13 and the production lines (A) 15 and (B) 15, the production line can be obtained only by setting an appropriate proportional distribution ratio. A visualization screen of power consumption along (A) 15 and (B) 15 can be obtained automatically. Note that illustration of the visualization screen is omitted.

  Further, the conversion process for utilizing the conventional apparatus (FIG. 40) and the applicable output generation are not described here, but are as described above with reference to FIGS. 12, 13, and 18. The same effect is obtained.

  As described above, the power consumption measurement data processing apparatus 1 (energy consumption measurement data processing apparatus) according to Embodiment 4 (FIGS. 1, 2, 19, and 25 to 29) of the present invention has a spatial structure. The spatial structure total data processing unit 55 for generating the spatial structure total data 26 which is the total data along the spatial structure total data processing unit 55 includes the spatial structure setting data 52 and the power consuming equipment 13 (energy The spatial structure aggregate data 26 is generated from the spatial structure power consumption facility correspondence setting data 60 (spatial structure energy consumption facility correspondence setting data) in which the correspondence relationship between the consumption facility) and the space structure setting data 52 is set, Alternatively, a setting for generating the spatial structure aggregate data 26 is output.

  In addition, the spatial structure total data processing unit 55 determines the power consumption facility power system correspondence setting data 64 (energy consumption facility energy system) from the correspondence between the power system setting data 42 (energy system setting data) and the space structure setting data 52. With reference to the correspondence relationship setting data), the spatial structure power consumption facility correspondence setting data 60 in which the correspondence relationship between the power consumption facility setting data 62 and the space structure setting data 52 is set is extracted.

Further, the power consumption measurement data processing apparatus 1 according to the fourth embodiment (FIGS. 19, 25 to 29) of the present invention includes a spatial structure total display generation unit 56 for displaying the spatial structure total data 26. The spatial structure totalization display generating unit 56 displays the spatial structure totalization data 26 along the spatial structure setting data 52 or outputs a setting for performing display.
Alternatively, the spatial structure totalization display generation unit 56 displays the spatial structure totalization data 26 for each power consumption facility type hierarchically along the spatial structure setting data 52 or outputs settings for hierarchical display. To do.

The spatial structure total data processing unit 55 generates the spatial structure total data 26 for each power consumption facility type, which is total data for each type of the power consumption facility 13 along the spatial structure, or the spatial structure total data The setting for generating 26 is output.
Thereby, there exists an effect similar to the above-mentioned Embodiment 3.

Embodiment 5 FIG.
In Embodiments 1 to 4 (FIGS. 2 to 29), although not particularly taken into consideration, as shown in FIGS. 30 to 34, the processing is performed in consideration of the control information of the power consuming equipment 13. May be.
The fifth embodiment of the present invention will be described below with reference to FIGS.

  FIG. 30 is a block diagram showing an overall configuration of a power consumption measurement target system to which the fifth embodiment of the present invention is applied. Components similar to those described above (see FIG. 2) are denoted by the same reference numerals as those described above. Detailed description is omitted.

In FIG. 30, the power consuming equipment 13 (A1, B1, A2, B2, X1, Y1, X2, Y2) includes control devices 28 (A1, B1, A2, B2, X1, Y1, X2, Y2) is provided.
Each control device 28 (A1, B1, A2, B2, X1, Y1, X2, Y2) controls the power consuming equipment 13 (A1, B1, A2, B2, X1, Y1, X2, Y2) belonging to each. At the same time, each control data 29 is input to the power consumption measurement data processing apparatus 1.

  FIG. 31 is a block diagram showing a software configuration of the power consumption measurement data processing apparatus 1 according to the fifth embodiment of the present invention. Components similar to those described above (see FIGS. 3 and 19) are denoted by the same reference numerals. A detailed description will be omitted.

  In FIG. 31, in addition to the above-described configuration, the power consumption measurement data processing apparatus 1 includes a production process setting unit 81, a production process power consumption facility correspondence setting unit 83, and a power consumption facility control data correspondence setting unit 69. A production process total data processing unit 85 and a production process total display generation unit 86 are provided.

  Here, although not shown in order to avoid complication, the power consumption measurement data processing device 1 may have a measurement device configuration setting unit 31 and measurement device configuration setting data similar to those described above (FIG. 3) as necessary. 32, a measurement device configuration measurement point correspondence setting unit 33, a measurement device configuration measurement point correspondence setting data 34, and a measurement device total display generation unit 36 are provided.

  The setting data storage unit 22 in the power consumption measurement data processing device 1 includes the production process setting data 82 from the production process setting unit 81 and the production process power consumption facility correspondence setting unit 83 in addition to the various setting data described above. Production process power consumption facility correspondence relationship setting data 84 and power consumption facility control data correspondence relationship setting data 70 from the power consumption facility control data correspondence relationship setting unit 69 are stored.

The measurement data storage unit 23 in the power consumption measurement data processing apparatus 1 stores control data 29 from the control device 28 in addition to the measurement data 25 described above.
The total data storage unit 24 in the power consumption measurement data processing apparatus 1 stores the production process total data from the production process total data processing unit 85 as the total data 26 in addition to the various types of total data described above.

  Next, with reference to FIGS. 32 to 34, in order to automatically realize a processing procedure according to the fifth embodiment (FIGS. 31 and 32) of the present invention, that is, a visualization screen in consideration of control information of each facility. The processing procedure will be described.

FIG. 32 is a flowchart showing a processing procedure (setting stage and operation stage) according to Embodiment 5 of the present invention. The processing similar to that described above (see FIGS. 4, 14, 20, and 25) is described above. The same reference numerals are attached and detailed description is omitted.
In this case, steps S7 to S9 are added as subsequent processing of the setting stage.

  In FIG. 32, in the setting stage, first, as described above, the power system setting data 42, the measurement point setting data 92, the power system measurement point correspondence setting data 44, the power consumption facility setting data 62, and the power consumption facility power system correspondence The relationship setting data 64 is created (steps S1, S2, S4, S5A, S6A), and the measurement device configuration setting data 32 and the measurement device configuration measurement point correspondence setting data 34 are created as necessary (step S3). ).

Subsequently, a measurement point related to control is added to the measurement point setting data 92 (step S7).
As a specific example, when the power consuming equipment 13 is controlled by a PLC (Programmable Logic Controller) or a sequencer (hereinafter, typically referred to as “sequencer”), the sequencer uses the “operating state” of the equipment as an internal variable. In step S7, the internal variable is set.

  The power consumption measurement data processing apparatus 1 according to the fifth embodiment (FIGS. 30 and 31) of the present invention provides control data 29 related to the operating state of the facility together with the measurement data 25 related to power consumption according to the above setting. Collect and save in time series. This is a collection function provided in the conventional power consumption measurement data processing apparatus 1.

If necessary, following step S7, a control device 28 that is a controller for controlling the power consumption facility 13 is added to the measurement device configuration setting data 32, and the measurement device configuration measurement point correspondence setting data 34 is added. Is also added (step S8).
In the specific example described above, the control device 28 is a sequencer.

  Subsequently, the power consumption measurement data processing device 1 collects the control data 29 related to the operating state of the facility together with the measurement data 25 related to the power consumption according to the above settings, and stores them in time series. This is a collection function provided in the conventional apparatus (FIG. 40).

Next, power consumption facility control data correspondence setting data 70 is created (step S9).
The power consumption facility control data correspondence setting data 70 indicates which power consumption facility is operating and which measurement point (measurement point related to control, that is, which internal variable of which control device) represents the power consumption facility. It is described by associating nodes (each facility) of the setting data 62 with measurement points related to control.

  The power consumption facility control data correspondence setting data 70 may be described directly or, as shown in FIG. 31, a power consumption facility control data correspondence setting unit 69 is provided separately to set the power consumption facility control data correspondence relationship. It may be set by the unit 69.

  The power consumption facility control data correspondence setting unit 69 may be provided as a part of the power consumption facility setting unit 61 or the measurement point setting unit 91, or May be provided separately or as a collective setting unit integrating the setting functions of the power consumption facility setting unit 61, the measurement point setting unit 91, and the power consumption facility control data correspondence setting unit 69. Also good.

FIG. 33 is an explanatory diagram showing the power consumption facility control data correspondence setting data 70 (broken arrows), showing the interrelationship between the measuring device configuration setting data 32 and the power consumption facility setting data 62 (equipment type setting data). Yes.
In FIG. 33, the internal variable (measurement point for control) of the control device node in the measurement device configuration setting data 32 (tree structure) on the left side is associated with the power consumption facility setting data 62 (tree structure) on the right side. Information (broken arrow) is the power consumption equipment control data correspondence setting data 70.

  Hereinafter, as the final process in the setting stage in FIG. 32, the measurement point setting data 92, the measurement device configuration setting data 32, the measurement device configuration measurement point correspondence setting data 34, and the power system setting data created in steps S1 to S9. 42, the power system measurement point correspondence setting data 44, the power consumption equipment setting data 62, the power consumption equipment power system correspondence relation setting data 64 and the power consumption equipment control data correspondence relation setting data 70 are stored in the power consumption measurement data processing apparatus 1. Write.

  At this time, as described above, the various setting data may be written equally to all the power consumption measurement data processing devices 1, and only the portion corresponding to the power consumption measurement data processing device (α) 1 is cut out and written. It may be.

Next, the operation stage in FIG. 32 (a procedure for generating a visualization screen in consideration of information related to equipment control) will be described.
In the operation stage, power consumption data is first collected and stored in the same manner as described above (step S11).
In step S11, the power consumption measurement data processing apparatus 1 collects the control data 29 related to the operating state of the facility together with the measurement data 25 related to the power consumption and stores them in time series.

  Further, if necessary, a display screen according to the measurement device configuration is generated (step S12), the process proceeds to a data aggregation process based on the power system (step S13), and the power consumption data of each facility is determined (step). S17B).

  At this time, in the aggregation process according to the third embodiment described above (FIGS. 19 and 20), the power consumption facility aggregation data processing unit 65 describes the correspondence between the power system setting data 42 and the power consumption facility setting data 62. Based on the power consumption facility power system correspondence setting data 64, the power consumption data of each facility is determined. In addition, in FIG. 32, in FIG. Based on the power consumption facility control data correspondence setting data 70 describing the correspondence relationship with the internal variable), the power consumption is divided and tabulated individually in a form corresponding to the value of the control information (step S17C).

Subsequently, the power consumption facility total display generation unit 66 divides the total data in step S17B (17C) in a form corresponding to the value of the control information, and visualizes and displays the graph as shown in FIG. 34 (step S14B). ).
FIG. 34 is an explanatory diagram showing a measurement data visualization screen by the power consumption facility total display generation unit 66, and is a graph of the facility type in consideration of control information (see the solid line level for each divided section) regarding the power consumption facility (A1) 13. The example of a display and the display example of a power consumption ratio are shown.

In the graph of FIG. 34, the power consumption graph is displayed separately in a form corresponding to the value of the control information.
“0” in the control information (value of the internal variable of the control device) indicates that the equipment is “non-operating”, and “1” in the control information indicates that the equipment is “operating”. Show. Therefore, the graph of FIG. 34 visualizes the power consumption facility (A1) 13 in such a manner that the power consumption in the non-operating state and the power consumption in the operating state can be distinguished.

  Note that the value of the internal variable of the control device is more detailed than the above two states (non-operating state / operating state) (for example, “starting up” or “error stopped” in which the non-operating state is further detailed) ”,“ Process 1 in operation ”,“ process 2 in operation ”,“ idle ”, etc.), which further refines the operation state, can be aggregated and visualized as they are based on the values of each state.

  In addition, the values of each state are classified and assigned to two states (non-operating state / operating state), and then the power consumption amount in the non-operating state and the power consumption amount in the operating state can be totaled and distinguished. It can also be visualized with.

  Another allocation method is to classify the power consumption used purely for production activities as positive power consumption and the other power consumption used as negative power consumption (for example, operation Of the more detailed states, “Process 1 in operation” and “Process 2 in operation” are assigned as positive power consumption, and other than that, “Idle in operation” and “Non-operation” are negative (As power consumption) After allocation, positive power consumption and negative power consumption can be tabulated and visualized in a distinguishable manner.

  Similar to the graph display, in the ratio display, the power consumption facility total data processing unit 65 corresponds the power consumption per unit time (for example, one day, one week, one month, etc.) to the value of the control information. The power consumption facility total display generation unit 66 may visualize the result as a ratio of power consumption as shown in FIG.

  As described above, in order to realize a screen for visualizing the power consumption for each equipment type by distinguishing it according to the control state, in the conventional apparatus (FIG. 40), aggregation and display are set manually. In form 5 (FIGS. 30 to 34), all are automatically extracted and set, so it is possible to reduce the labor involved in engineering the visualization screen for intuitively grasping the actual state of power consumption. .

  Further, the conversion process for utilizing the conventional apparatus (FIG. 40) and the applicable output generation are not described here, but are as described above with reference to FIGS. 12, 13, and 18. The same effect is obtained.

  As described above, the power consumption measurement data processing apparatus 1 according to the fifth embodiment (FIGS. 30 to 34) of the present invention includes the control device 28 that controls the power consumption facility 13 along the power system 11. Based on the measurement point setting data 92, control data 29 (operating state of the power consuming equipment 13) related to the control of the power consuming equipment 13 is collected from the control device 28.

The power consumption facility total data processing unit 65 is a power consumption facility control data correspondence relationship in which the measurement data 25 and the control data 29 and the measurement point setting data 92 among the measurement points related to control and the power consumption facility 13 are set. From the setting data 70 (energy consumption facility control data correspondence setting data), the power consumption facility total data 26 for each operation state, which is the total data for each operation state, is generated for the power consumption facility 13, or the power consumption facility The setting for generating the total data 26 is output.
The power consumption facility total display generation unit 66 displays the power consumption facility total data 26 for each operating state or outputs a setting for performing display.

The power consumption measurement data processing apparatus 1 according to the fifth embodiment (FIG. 31) of the present invention includes a production process total data processing unit 85, and the production process total data processing unit 85 includes production process setting data 82. Production process total data 26 is generated from production process power consumption facility correspondence setting data 84 (production process energy consumption facility correspondence relation setting data) in which a correspondence relationship between the power consumption facility 13 and the production process setting data 82 is set. Or a setting for generating the production process total data 26 is output.
Accordingly, as described above, it is possible to automatically extract the generation of the visualization screen that is easy to understand and the aggregation process for the visualization screen, thereby reducing the engineering effort.

Embodiment 6 FIG.
In addition, in the said Embodiment 5 (FIGS. 30-34), although it did not mention concretely about the process based on a production process, the electric power consumption which considered the control information of equipment like FIGS. 35-38. This visualization data 26 may be used to automatically realize a visualization screen related to the power consumption necessary for completing the final product.
The sixth embodiment of the present invention will be described below with reference to FIGS.

FIG. 35 is a flowchart showing a processing procedure according to the sixth embodiment of the present invention. The same processing as that described above (see FIG. 4, FIG. 14, FIG. 20, FIG. 25, FIG. 32) is denoted by the same reference numeral. Detailed description is omitted.
In this case, steps S10 and S10A are added as final processing in the setting stage, and steps S18 and S19 are added as final processing in the operation stage.

FIG. 36 is an explanatory diagram showing power consumption facility control data correspondence setting data 70 (broken arrows) according to Embodiment 6 of the present invention. Production process setting data 82 and power consumption facility setting data 62 (equipment type setting) Data).
The software configuration of the sixth embodiment of the present invention is as shown in FIG.

Hereinafter, the procedure of the setting stage and the operation stage will be described with reference to FIG. 31 and FIG.
First, similarly to the above (FIG. 32), various setting data 42, 92, 44, 70, 32, and 34 are created in steps S1 to S9 in the setting stage.

Subsequently, production process setting data 82 is created (step S10).
The production process setting data 82 may be directly described, or may be set by the production process setting unit 81 separately provided as shown in FIG.

The production process setting data 82 is data that hierarchically describes parts and processes necessary for completing a product, and is generally referred to as M-BOM (Manufacturing BOM, Manufacturing BOM). It corresponds to the data.
Here, BOM (Bills of Material) is a bill of materials necessary for completing a product.

In order to contrast with M-BOM, there is also what is called E-BOM (Engineering BOM, Design BOM, Design BOM).
In the process of completing the product, the intermediate product may be combined with the intermediate product through the intermediate product combining the components, and the E-BOM has a hierarchical structure composed of the component and the intermediate product. .

M-BOM is obtained by adding process information for combining parts and intermediate products to E-BOM.
Accordingly, the M-BOM also has a hierarchical structure, and in particular, a hierarchical structure in which a process is inserted between the finished product / intermediate product / part hierarchy (ie, the finished product / intermediate product / part and the process are alternately arranged). Hierarchical structure of repeated form).

The production process setting data 82 is represented by, for example, a tree structure on the left side in FIG.
36, the production process power consumption facility correspondence relationship setting data 84 is information that associates the process node in the tree structure of the production process setting data 82 on the left side with the tree structure of the power consumption facility setting data 62 on the right side. (Dashed arrow).

As the nodes of the production process setting data 82, first, a finished product 77, a process (B2) 80 which is a lower node of the finished product 77, and an intermediate product (Σ1) 78, which is a lower node of the process (B2) 80, ( Σ2) 78.
Further, the process (B1) 80, which is a lower node of the intermediate product (Σ1) 78, the components (Ω1) 79, (Ω2) 79, which are the lower nodes of the process (B1) 80, and the subordinate of the intermediate product (Σ2) 78 The process (A1) 80, the process (A2) 80 serving as nodes, the component (Ω3) 79 serving as a lower node of the process (A1) 80, and the component (Ω4) 79 serving as a lower node of the process (A2) 80 are provided. can give.

  Since some parts and intermediate products are manufactured at different factories or business entities, for example, regarding the part (Ω1) 79, value data obtained as a result of being aggregated separately for each control information related to the manufacture May be provided and used separately for the component (Ω1) 79 node.

Although this aggregation technique will be described later, for example, the positive power consumption and the negative power consumption that are purely required for the production of each component (Ω1) 79 are the value data of the aggregation result.
Here, it is assumed that such information is provided for each of the components (Ω1) 79, (Ω2) 79, (Ω3) 79, and (Ω4) 79, and the positive required for manufacturing each of the parts Information on power consumption and negative power consumption is set in each node.

Returning to FIG. 35, as a final process in the setting stage, production process power consumption facility correspondence setting data 84 is created (step S10A).
The production process power consumption facility correspondence setting data 84 indicates which power consumption facility 13 is performing the process described in the production process setting data 82 and the node (each facility) of the power consumption facility setting data 62 and the production. This is data described by associating process setting data 82 with process nodes.

  The production process power consumption facility correspondence setting data 84 may be directly described. As shown in FIG. 31, a production process power consumption facility correspondence relationship setting unit 83 is provided separately, and the production process power consumption facility correspondence relationship setting unit 83 is provided. You may set by.

  The production process power consumption facility correspondence setting unit 83 may be provided as a part of the power consumption facility setting unit 61 or the production process setting unit 81, or the power consumption facility setting unit 61 or the production process setting unit 81 May be provided separately or as a collective setting unit that integrates the setting functions of the power consumption facility setting unit 61, the production process setting unit 81, and the production process power consumption facility correspondence setting unit 83. Also good.

  Hereinafter, at the end of the setting stage in FIG. 35, the measurement point setting data 92, the measurement device configuration setting data 32, the measurement device configuration measurement point correspondence setting data 34, and the power system setting data 42 created in steps S1 to S10A. , Power system measurement point correspondence setting data 44, power consumption facility setting data 62, power consumption facility power system correspondence relationship setting data 64, power consumption facility control data correspondence relationship setting data 70, production process setting data 82 and production process power consumption The facility correspondence setting data 84 is written in the power consumption measurement data processing device 1.

  At this time, as described above, the various setting data may be written equally to all the power consumption measurement data processing devices 1, and only the portion corresponding to the power consumption measurement data processing device (α) 1 is cut out and written. It may be.

Next, the operation stage in FIG. 35 (a procedure for generating a visualization screen relating to power consumption necessary for completing a product) will be described.
In the operation stage, power consumption data is first collected and stored in the same manner as described above (step S11).

In step S11, the power consumption measurement data processing apparatus 1 collects the control data 29 related to the operating state of the facility together with the measurement data 25 related to the power consumption, and stores them in time series. Thereafter, the same tabulation processing (step S13) as that described above (FIG. 32) is performed, and a display screen according to the measurement device configuration is generated as necessary (step S12).
Further, as described above, the aggregation process (steps S17B, S17C, S15A) and the display screen generation process (S14B, S14C, S16A) are performed.

  Subsequently, the production process total data processing unit 85 (FIG. 31) describes the production process power consumption facility in which the correspondence relationship with the power consumption facility setting data 62 is described along the hierarchical structure described in the production process setting data 82. Based on the correspondence setting data 84, the total data 26 is processed (step S18). At this time, distinct tabulation is performed for each operating state (step S18C).

  Finally, the production process total display generation unit 86 visualizes the total data 26 along the production process setting data hierarchical structure and displays the graph (step S19). At this time, distinct tabulation is performed for each operating state (step S19C).

  As described above, the aggregation process may be executed in parallel with the process of collecting and storing power consumption data (step S11), and is executed on demand when a graph display is requested. Also good.

FIG. 37 is a flowchart showing a data counting process based on the production process according to the sixth embodiment of the present invention. The same processes as those described above are denoted by the same reference numerals.
In FIG. 37, the specific counting process is executed after the counting process of the fifth embodiment is completed.

Hereinafter, the totaling process according to the sixth embodiment of the present invention will be specifically described with reference to FIG. 37 together with FIG. 31 and FIG.
In FIG. 37, first, recursion processing is performed with the highest level (finished product 77) of the production process tree as a processing target node (step S81).

In the recursive process, first, the process branches according to the determination result of whether or not the processing target node (finished product 77) has a lower tree structure (step S42).
As is clear from FIG. 36, since the processing target node (finished product 77) has a lower tree structure, all of the lower nodes (process (B2) 80) of the processing target node (finished product 77). A recursive process is performed (steps S43 and S44).

After this recursive process (details will be described later) is completed, the process proceeds from step S43 to step S82, and it is determined whether the processing target node is a process.
At this time, since the finished product 77 that is the processing target node is not a node representing a process, the power consumption of the lower-level node (process (B2) 80) and the lower-level node (intermediate product (Σ1)) 78, (Σ2) 78) is used as power consumption data of the processing target node (finished product 77) (step S85), and the recursive processing (FIG. 37) of the processing target node (finished product 77) is completed.

At this time, the power consumption of the node representing the one-step lower process (B2) 80 is time-series data associated with the control information.
On the other hand, the power consumption of the nodes representing the intermediate products (Σ1) 78, (Σ2) 78 of the lower two stages and the lower components (Ω1) 79 to (Ω4) 79 is not time-series data but for each control information. It is the value data of the result that is aggregated separately.

  Therefore, in step S85, the sum of the time series data associated with the control information of the node representing the process one step lower is used as the time series power consumption data of the processing target node (finished product 77). Resulting value data that is aggregated separately for each node control information that represents a lower-level process and value data that is aggregated separately for each node control information that represents a lower-level intermediate product or part Is the power consumption data of the total result value of the processing target node (finished product 77).

Next, the recursive process for the step (B2) 80 will be described.
First, since the process (B2) 80 has a lower tree structure, recursive processing is performed on all the lower nodes (intermediate product (Σ1) 78, (Σ2) 78) of the process (B2) 80 as described above. Is performed (steps S43 and S44).

After all of these recursive processes are completed, since the process (B2) 80 is a node representing the process, the process proceeds from step S82 to step S83, and it is determined whether or not there is a relationship setting between the process target node and the consumption equipment node. The
If it is determined in step S83 that there is a power consumption facility setting corresponding to step (B2) 80 (ie, YES), the power consumption data of the set power consumption facility is used as the power consumption data of step (B2) 80. (Step S84), the recursive process (FIG. 37) of step (B2) 80 is completed.

On the other hand, if it is determined in step S83 that there is no power consumption equipment setting corresponding to step (B2) 80 (ie, NO), it is determined that there is no power consumption data in step (B2) 80 (step S56A). ), The recursive process (FIG. 37) of step (B2) 80 is completed.
In the configuration example of FIG. 30, since the process (B2) 80 has a corresponding relationship with the power consumption facility (B2) 13, the power consumption data of the power consumption facility (B2) 13 is used as it is in the step (B2) 80. Power consumption data.

Next, the recursion process for the intermediate product (Σ1) 78 will be described.
First, since the intermediate product (Σ1) 78 has a lower tree structure, the restart process is performed for all the lower nodes (step (B1) 80).
After the restart process is completed, the process proceeds from step S43 to step S82, and it is determined whether the processing target node is a process.

Since the intermediate product (Σ1) 78 is not a node representing a process, the process shifts from step S82 to step S85, and the power consumption of the lower-level node (that is, the process (B1) 80) and the lower-level node ( The sum of the parts (Ω1) 79 and (Ω2) 79) is used as the power consumption data of the intermediate product (Σ1) 78, and the recursive process (FIG. 37) of the intermediate product (Σ1) 78 is completed.
Note that the sum in the case of not being a node representing a process is as described above.

Next, the recursive process for the step (B1) 80 will be described.
First, since the process (B1) 80 has a lower tree structure, recursion processing is performed on all the lower nodes (component (Ω1) 79, (Ω2) 79) of the process (B1) 80.
After all of these recursive processes are completed, since the process (B1) 80 is a node representing the process, the process proceeds from step S82 to step S83, and it is determined whether or not there is a relationship setting with the consumption equipment node.

  If there is a power consumption facility setting corresponding to step (B1) 80, the power consumption data of the set power consumption facility is used as the power consumption data of step (B1) 80 (step S84), and step (B1). The 80 recursion process (FIG. 37) is completed.

On the other hand, if there is no power consumption equipment setting corresponding to step (B1) 80, it is determined that there is no power consumption data of step (B1) 80 (step S56A), and recursion processing of step (B1) 80 (FIG. 37). ).
In the configuration example of FIG. 30, since the process (B1) 80 has a corresponding relationship setting with the power consumption facility (B1) 13, the power consumption data of the power consumption facility of the power consumption facility (B1) 13 is used as it is. (B1) 80 power consumption data may be used.

Next, a recursive process for the component (Ω1) 79 of the lowest node will be described.
First, since the component (Ω1) 79 does not have a lower tree structure, the process proceeds from step S42 to step S86 to determine whether the processing target node is a process.

  If it is determined in step S86 that the component (Ω1) 79 is a node representing a process (that is, YES), the process proceeds to step S88, and whether or not there is a relationship setting between the processing target node and the consumption equipment node. Determined.

  In step S88, if it is determined that there is a setting of the power consumption facility corresponding to the component (Ω1) 79 (that is, YES), the power consumption data of the power consumption facility is used as the power consumption data of the component (Ω1) 79. (Step S89), the recursion process (FIG. 37) of the component (Ω1) 79 is completed.

  On the other hand, if it is determined in step S88 that the power consumption equipment corresponding to the component (Ω1) 79 is not set (ie, NO), it is determined that there is no power consumption data for the component (Ω1) 79 (step S56B). ), The recursive processing of the component (Ω1) 79 is completed.

However, since the component (Ω1) 79 is not a node representing a process, the process proceeds from step S86 to step S87.
That is, when the value data of the result obtained by separately collecting the control information separately is set for the node of the component (Ω1) 79, the data is used as the power consumption of the component (Ω1) 79. If it is adopted as data and value data is not set, it is determined that there is no power consumption data of Ω1, and the recursive processing (FIG. 37) of the component (Ω1) 79 is completed.

  The recursive processing for each node of the component (Ω2) 79, the intermediate product (Σ2) 78, the step (A1) 80, the component (Ω3) 79, the step (A2) 80, and the component (Ω4) 79 is the above processing contents. Since it is the same as any one of the above, the description is omitted here.

Through the above recursive processing, the power consumption data of each node in the production process setting data hierarchical structure can be aggregated.
As described above, since the recursive process is a process performed to determine how to calculate the power consumption data of each node, the processing time is shortened (recursive process requiring a long processing time is performed). (Omitted) From the point of view, it is necessary to execute only the first operation stage, store the calculation method obtained as a result (or output it in an executable script format), and calculate the data of each node. In such a case, it is desirable to refer to the calculation method (execute the script).
However, the configuration may be such that the recursion process is performed every time it is necessary as long as the time required for the recursion process is not particularly troublesome, such as when hardware with high calculation processing capability is used.

Hereinafter, the production process total display generation unit 86 visualizes the total data 26 processed as described above along a production process setting data hierarchical structure and displays the graph.
FIG. 38 is an explanatory diagram showing a visualization graph display example according to Embodiment 6 of the present invention, and shows a specific example when the measurement data visualization screen is displayed as a production process graph.

The visualization screen shown in FIG. 38 is configured by adding a tree view capable of displaying and operating the production process setting data hierarchical structure to the visualization screen of the fifth embodiment described above (FIG. 34).
In FIG. 38, a node in the production process setting data hierarchical structure in which power consumption data exists by the above-described aggregation process is designated by a node (for example, double-clicking with a mouse) that designates a node to be displayed in a graph on the tree view. The power consumption data of the node is displayed in a graph.

In addition, since only the value data obtained as a result of distinction for each control information may exist in the nodes representing the components (Ω1 to Ω4), a ratio display visualization screen is displayed.
Moreover, since only the power consumption data of the power consumption equipment 13 having a corresponding relationship with the process can exist in the node representing the process (A1, A2, B1, B2), the graph of the power consumption data and the ratio display Display the visualization screen.

  For nodes representing intermediate products (Σ1, Σ2) and finished products, time-series power consumption data summed up with time-series data associated with control information of nodes representing processes one step lower, and one step lower There may be power consumption data of aggregated result values obtained by summing up the value data of the results that are aggregated separately for each control information of nodes that represent processes and nodes that represent intermediate products and parts that are lower in two stages. Display the consumption data graph and the visualization screen of the ratio display.

  In order to realize a visualization screen related to power consumption necessary to complete the product as described above, the totaling and display are manually set in the conventional apparatus (FIG. 40). According to No. 6, since the totalization and display can be automatically extracted, it is possible to reduce the labor involved in the engineering of the visualization screen that allows an intuitive grasp of the actual power consumption required for product completion.

  That is, in Embodiment 6 of the present invention, calculation settings and visualization screen settings related to all virtual measurement points necessary for visualization for grasping the actual state of power consumption necessary for completing a product are performed. Arranging the setting information necessary for automatic processing, and grasping the actual situation of power consumption along the production process hierarchy structure only by setting the setting information (production process hierarchy structure and equipment types and their interrelationships) Visualization screen for automatically realized.

  Specifically, by applying the rule “data of parent node = sum of data of child nodes” to the production process hierarchy (M-BOM), the actual situation of power consumption along the production process hierarchy is grasped. It is possible to automate the calculation settings related to all virtual measurement points required for visualization for the purpose. Moreover, since these calculation results are directly associated with the display along the production process hierarchical structure, the setting of the visualization screen can also be automated.

  Further, when applying the rule “parent node data = sum of child node data” to the production process hierarchy (M-BOM), the production process hierarchy (M-BOM) is as described above. Unlike the hierarchical structure such as the spatial structure, the processing method is devised as described above for the hierarchical structure in which finished products / intermediate products / parts and processes are alternately repeated.

  Furthermore, by applying a rule that displays a “stacked graph” with the child nodes of the parent node as a graph element and displays a ratio to the production process hierarchy, the power consumption along the production process hierarchy is reduced. It is possible to automate the setting related to drill down and ratio display in visualization for grasping the actual situation.

  Further, the conversion process for utilizing the conventional apparatus (FIG. 40) and the applicable output generation are not described here, but are as described above with reference to FIGS. 12, 13, and 18. The same effect is obtained.

  As described above, the power consumption measurement data processing apparatus 1 according to the sixth embodiment (FIGS. 31, 35 to 38) of the present invention includes the production process total data processing unit 85, and the production process total data processing. The unit 85 includes production process setting data 82, production process power consumption facility correspondence setting data 84 (production process energy consumption facility correspondence relation setting data) in which a correspondence relationship between the power consumption facility 13 and the production process setting data 82 is set. Then, the production process total data 26 is generated or the setting for generating the production process total data 26 is output.

Moreover, the power consumption measurement data processing apparatus 1 according to Embodiment 6 of the present invention includes a production process total display generation unit 86, which uses the production process total display data 26 as a production process. Display hierarchically or output settings for hierarchical display.
Accordingly, as described above, it is possible to automatically extract the generation of the visualization screen that is easy to understand and the aggregation process for the visualization screen, thereby reducing the engineering effort.

  DESCRIPTION OF SYMBOLS 1 Power consumption measurement data processing apparatus, 2 Microprocessor, 3 Data storage part, 4 Communication processing part, 5 Signal input part, 6 Signal output part, 7 Display processing part, 8 Operation input part, 9 Display apparatus, 11 Electric power system, 12 power meter, 13 power consuming equipment, 14 area, 15 production line, 16 building or floor, 17 factory or business, 21 measurement processing unit, 22 setting data storage unit, 23 measurement data storage unit, 24 total data storage unit , 25 Measurement data, 26 Total data (Power system total data, Spatial structure total data, Power consumption equipment total data, Production process total data), 28 Control equipment, 29 Control data, 31 Measurement equipment configuration setting unit, 32 Measurement equipment configuration Setting data, 33 Measurement equipment configuration measurement point correspondence setting section, 34 Measurement equipment configuration measurement point correspondence setting data 36 Measurement device total display generation unit 37 Measurement device configuration setting data conversion unit 38 Measurement device configuration measurement point correspondence setting data conversion unit 41 Power system setting unit 42 Power system setting data 43 Power system measurement point correspondence Setting unit, 44 Power system measurement point correspondence setting data, 45 Power system total data processing unit, 46 Power system total display generation unit, 47 Power system setting data conversion unit, 48 Power system measurement point correspondence setting data conversion unit, 51 Spatial structure setting unit, 52 Spatial structure setting data, 53 Spatial structure power system correspondence setting unit, 54 Spatial structure power system correspondence setting data, 55 Spatial structure tabulation data processing unit, 56 Spatial structure tabulation display generation unit, 57 Spatial structure Setting data conversion unit, 58 Spatial structure power system correspondence setting data conversion unit, 59 Spatial structure power consumption equipment Response setting unit, 60 Spatial structure power consumption facility correspondence setting data, 61 Power consumption facility setting unit, 62 Power consumption facility setting data, 63 Power consumption facility Power system correspondence setting unit, 64 Power consumption facility Power system correspondence relationship setting Data, 65 power consumption facility total data processing unit, 66 power consumption facility total display generation unit, 69 power consumption facility control data correspondence setting unit, 70 power consumption facility control data correspondence setting data, 77 finished product, 78 intermediate product, 79 parts, 80 steps, 81 production process setting unit, 82 production process setting data, 83 production process power consumption facility correspondence setting unit, 84 production process power consumption facility correspondence setting data, 85 production process total data processing unit, 86 production Process totalization display generation unit, 91 measurement point setting unit, 92 measurement point setting data, 93 measurement data totalization Processing unit, 94 measurement data display generation unit, 95 virtual measurement point setting unit, 96 virtual measurement point setting data, 97 virtual measurement point total data processing unit, 101 search key setting unit, 102 search key setting data, 103 search key measurement point Correspondence setting unit, 104 search key measurement point correspondence setting data, 105 search key display generation unit.

Claims (19)

A power measurement data processing device for collecting and calculating the power consumption data from the installed power measuring instrument to the power system for supplying power to the power consuming installation,
Measurement point setting data which is information for each measurement point of the power consumption measuring device,
And power system configuration data is information relating to the power system,
A setting data storage unit for storing power system measurement point correspondence setting data in which a correspondence relationship between the power system setting data and the measurement point setting data is set;
A measurement data storage unit for storing the power consumption data for each measurement point collected from the power consumption measuring device;
And a power system aggregation data processing section for processing the power system aggregation data is aggregated data along the power system,
The power system total data processing unit
From the measurement point setting data, the power system setting data, the power system measurement point correspondence setting data, and the power consumption data,
Or to generate the power system aggregated data, or the power consumption measurement data processing unit and outputting a calculation formula for generating a power system aggregate data. The power system aggregation data processing unit, for the portion branching point of the power system are comprehensively measurement, or generates a power system aggregation data plus power transmission loss in the corresponding section, or, the power system The power consumption measurement data processing apparatus according to claim 1, wherein a setting for generating total data is output. A power system total display generation unit for displaying the power system total data,
The power system total display generation unit displays the power system total data hierarchically along the power system setting data, or outputs settings for displaying the power system hierarchically. The power consumption measurement data processing apparatus according to claim 1 or 2. A measuring instrument totalization display generation unit for displaying the measurement data;
The measuring instrument totalization display generation unit,
From the measurement device configuration setting data, and the measurement device configuration measurement point correspondence setting data in which the correspondence between the measurement point setting data and the measurement device configuration setting data is set,
The measurement data is displayed along with the measurement device configuration setting data, or a setting for performing the display is output. Power consumption measurement data processing device. A spatial structure aggregate data processing unit for generating spatial structure aggregate data, which is aggregate data along the spatial structure,
The spatial structure aggregation data processing unit
From the spatial structure setting data, the spatial structure power system correspondence setting data that sets the correspondence between the power system setting data and the spatial structure setting data,
The power consumption measurement according to any one of claims 1 to 4, wherein the spatial structure total data is generated or a setting for generating the spatial structure total data is output. Data processing device. A spatial structure total display generation unit for displaying the spatial structure total data;
The spatial structure aggregation display generation unit
6. The power consumption measurement data according to claim 5, wherein the spatial structure aggregated data is displayed hierarchically along the spatial structure setting data or a setting for displaying the hierarchical structure is output. Processing equipment. Comprising a power consuming installation aggregation data processing unit that processes the power equipment configuration data,
The power consumption facility summary data processing unit
From the power consumption equipment setting data, the power consumption equipment power system correspondence setting data that sets the correspondence between the power system setting data and the power consumption equipment setting data,
The power consumption facility total data which is the total data for each power consumption facility is generated, or the setting for generating the power consumption facility total data is output. The power consumption measurement data processing device according to any one of the above. A power consumption facility total display generation unit for displaying the power consumption facility total data;
The power consumption facility total display generation unit
The power consumption measurement data processing apparatus according to claim 7, wherein the power consumption facility total data is displayed along with the power consumption facility setting data, or a setting for performing the display is output. Said power consuming facility summary display generation unit, the power consumption of claim 8 to display the power consumption equipment aggregated data for each of the operating state or, and outputs the setting for performing the display Measurement data processing device. The power system total data processing unit
From the power consumption facility summary data and the power consumption facility power system correspondence setting data,
Or generating a power system aggregated data for each power consuming installation type is aggregated data for each type of power plant along the power system, or to output the settings for generating the electric power system aggregates data The power consumption measurement data processing apparatus according to any one of claims 7 to 9, wherein the power consumption measurement data processing apparatus is characterized in that: The power system total display generation unit
The power system total data for each power consumption facility type is displayed hierarchically along the power system setting data, or the setting for displaying the hierarchical display is output. Item 11. The power consumption measurement data processing device according to Item 10. A spatial structure aggregate data processing unit for generating spatial structure aggregate data, which is aggregate data along the spatial structure,
The spatial structure aggregation data processing unit
From the the spatial structure setting data, and the power consumption facility and the spatial structure and configuration data for setting the correspondence between the spatial structure power facilities correspondence relationship setting data,
The power consumption measurement according to any one of claims 7 to 11, wherein the spatial structure aggregate data is generated or a setting for generating the spatial structure aggregate data is output. Data processing device. The spatial structure aggregation data processing unit
From the correspondence between the power system setting data and the space structure setting data, refer to the power consumption facility power system correspondence setting data and set the correspondence between the power consumption equipment setting data and the space structure setting data 13. The power consumption measurement data processing apparatus according to claim 12, wherein the spatial structure power consumption facility correspondence setting data is extracted. A spatial structure total display generation unit for displaying the spatial structure total data;
The spatial structure aggregation display generation unit
14. The power consumption measurement data processing according to claim 12, wherein the spatial structure aggregate data is displayed along with the spatial structure setting data, or a setting for performing the display is output. apparatus. The spatial structure aggregation data processing unit
Generating spatial structure total data for each power consumption facility type, which is total data for each type of power consumption facility along the spatial structure, or outputting a setting for generating the spatial structure total data The power consumption measurement data processing device according to any one of claims 12 to 14. A spatial structure total display generation unit for displaying the spatial structure total data;
The spatial structure aggregation display generation unit
The spatial structure total data for each power consumption facility type is displayed hierarchically along the spatial structure setting data, or the setting for displaying the hierarchical structure is output. The power consumption measurement data processing apparatus described. A control device for controlling power consumption equipment along the power system;
Based on the measurement point setting data, a power consumption measurement data processing apparatus that collects control data related to the control of the energy consuming equipment from the control device,
The control data is an operating state of the power consuming equipment,
The power consumption facility summary data processing unit
The measurement data and the control data;
And a power equipment control data correspondence relationship setting data and the measurement point according to the control was set correspondence relationship between the power consumption facility of the measurement point setting data,
The power consumption facility total data for each operation state, which is the total data for each operation state, is generated for the power consumption facility, or the setting for generating the power consumption facility total data is output. The power consumption measurement data processing device according to any one of claims 7 to 11. It has a production process total data processing unit,
The production process total data processing unit
From the production and process setting data, and the power consumption equipment and the production processes and configuration data of correspondence between production power facilities correspondence relationship setting data in which a,
18. The power consumption measurement data processing apparatus according to claim 17, wherein production process aggregation data is generated or a setting for generating the production process aggregation data is output. It has a production process summary display generation unit,
The production process total display generation unit
19. The power consumption measurement data processing apparatus according to claim 18, wherein the production process total data is displayed hierarchically along a production process, or a setting for displaying the production process hierarchically is output.

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