JP2000299945A - Remote automated diagnostic system for power consumption conditions - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a remote automated diagnostic system of a power consumption situation where real-time property, reduction in storage capacity, and the identification of electrical equipment are achieved. SOLUTION: This remote automated diagnostic system includes a measurement-processing device 2 and a diagnosis processing device 3. The measurement-processing device 2 includes a clamp measurement means 21 for measuring data for indicating operation measurement situation, between power consumption equipment and a distribution switchboard 1 and a means 25 for transmitting measurement data via a communication line 4. The diagnosis processing device 3 includes a means 31 for receiving measurement data via the communication line 4, a means 32 for accumulating the received measurement data, a means 33 for characterizing the accumulated measurement data as a time-series fluctuation pattern, a means 34 for classifying power consumption conditions for each event, based on the time-series fluctuation pattern, and a means 35 for distributing the event information.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a power consuming device which consumes power in a relatively small facility such as a general household, that is, power consumption information and load current fluctuation information of an electric work. It relates to a system for monitoring and diagnosing. In particular, the present invention collects information from the electric work using various communication media, and automatically sorts events and situations represented by the collected data using knowledge (diagnosis rules) classified and generated for each event. The present invention relates to a remote automatic diagnosis system for a power consumption situation to be specified.

The present invention can be applied to, for example, fields such as detection of equipment abnormality in small-scale facilities and monitoring and diagnosis of power consumption.

[0003]

2. Description of the Related Art Conventionally, in a system for diagnosing and monitoring the power consumption of an electric work, a measuring instrument having a storage device is installed on the electric work or a distribution board to which the electric work is connected. After the period measurement, the measuring instrument is collected,
Analysis and analysis of measurement data are being performed.

Such a diagnostic system generally includes a sensor device for measuring a current value and the like, and a storage device (memory) for accumulating measurement data. The measuring instrument is collected after the expiration of the measurement period, and the measurement data stored in the storage device in the measuring instrument is read. The analysis and analysis of the measurement data and the diagnosis (identification of events) based on the analysis and analysis results are read out. It is performed by a skilled professional engineer based on the measured data obtained.

[0005]

In the conventional power consumption diagnosis system as described above, all measurement data is stored in a storage device in the measuring instrument, and the measurement data is acquired after the measurement period expires. Analysis and analysis cannot be performed. In addition, in order to monitor and diagnose the power consumption status with as high accuracy as possible, the load current and the fluctuation of the load current must be accurate so that the device characteristics of the electrical work are reflected, and It is necessary to comprehend large load fluctuations indicating the usage status and the like. Therefore, the cycle (sampling cycle) that is the basis of measurement needs to be adjusted to the measurement object that requires a shorter measurement time unit. On the other hand, the situation where a short measurement cycle is required is a transitional situation such as the start and stop of the operation of the electric work and each device included in the electric work, so that it is very much compared to the entire measurement period. A short period. On the other hand, since large load fluctuations are not directly affected by transient short-period fluctuations, the statistical significance of data measured and collected in short periods is relatively low.

Conventionally, when performing load current measurement that satisfies a plurality of conditions such as detection of a short-term fluctuation and detection of a long-term fluctuation, it is necessary to set the basic measurement cycle to match the short-cycle side condition. Therefore, a large-capacity storage device is required for the measuring device through the measurement process, and there is a problem that the cost increases. In addition, regarding the load current information measured and acquired by the distribution board, the load characteristics caused by the start-up characteristics and operation patterns of the plurality of electric devices connected to the distribution board are congested, and thus are integrally acquired. The load fluctuation of the load current information becomes complicated. For this reason, the load current information that can be specified in the related art is limited to the maximum load and the average load in the measurement time, and the load factor calculated based on the load current information. It is very difficult to specify stop and operation patterns.

[0007] In addition, the variation (load current pattern) of the time-series load current value composed of the measured data is very wide, and it is difficult to systematize knowledge suitable for analysis. The specification of the target device depends on the visual judgment of a specialized engineer who is familiar with the load current pattern at the start of operation of each device. In addition, when the time-series load current value is a combination of the load current values of a plurality of electric devices, the load current pattern of each device that can be considered as a component and its combination Therefore, it is necessary for a specialized engineer to have very complicated knowledge (know-how).

In addition, there is a drawback that the result of the judgment varies because the technician differs in the load current pattern used as the criterion for judgment and the index for calculating the similarity. In view of the above problems of the prior art, the present invention provides real-time performance, reduced storage capacity, extraction and separation of start-up characteristics and movement patterns of load current information of electric devices, and automatic start / stop of each electric device. It is an object of the present invention to provide a system and method for remote automatic diagnosis of a power consumption condition satisfying specific requirements.

Another object of the present invention is to provide a measurement processing device and a diagnosis processing device which constitute a remote automatic diagnosis system satisfying the above requirements. Further, the present invention provides a computer-readable recording medium recording a measurement data collection program used in a remote automatic diagnosis system for power consumption status, and a computer-readable recording medium recording a diagnosis program. Aim.

[0010]

FIG. 1 is a block diagram of a remote automatic diagnosis system of a power consumption state which achieves the object of the present invention. The remote automatic diagnosis system of the present invention includes a measurement processing device 2 provided on the power consuming side and a diagnosis processing device 3 provided on the service providing side. The measurement processing device 2 is connected between at least one power consuming device and the distribution board 1, and measures a signal representing a power consumption state in a first cycle, which is a basic cycle, and a communication line. 4 and a data transmission means 25 for transmitting measurement data corresponding to the measured signal.

The diagnostic processing device 3 includes a data receiving means 31 for receiving the measurement data from the measurement processing device 2 via the communication line 4, a data management means 32 for storing the received measurement data, A data characterization unit 33 for characterizing the accumulated measurement data as a time-series variation pattern; and classifying a power consumption state in the measurement processing device according to a predetermined event based on the characterized time-series variation pattern. The diagnostic device includes a diagnosis unit and a distribution unit that distributes event information indicating a classification result to a predetermined information terminal.

As described above, according to the system for automatically diagnosing power consumption according to the present invention, current and voltage are measured from a distribution board on which electric works scattered over a wide area are installed, and the measured data is measured. Is automatically transmitted at regular intervals to the computer on which the database and the diagnostic device are installed via the communication line, and the power load status and usage status are automatically classified based on the accumulated measurement data for each predetermined event, and the classification is performed. The resulting event information can be delivered to an information terminal installed at the measurement source or to an information terminal that has been authenticated through an online authentication mechanism.

The measurement processing device 2 includes a data storage unit 2 for storing the measurement data collected in the first cycle.
3 and monitor the increase / decrease value of the measurement data in a second cycle that is an integral multiple of the first cycle, and compare the monitored increase / decrease value in the first cycle with a predetermined first reference. If the monitored increase / decrease value exceeds the first reference, the measurement data collected during the first cycle is stored in the data storage means 23 together with information representing the second cycle, In other cases, the data compression unit 27 calculates a section average value, a section minimum value, and a section maximum value of the measurement data from the measurement data in the second cycle, and stores the calculated data in the data storage unit 23. It further has.

Thus, according to the present invention, the load current is measured at a short basic cycle (time 1) by a clamp-type ammeter or the like installed on the power line connected to the electric work, and is a multiple of time 1. The increase / decrease value of the load current at time (time 2) is monitored, and when the monitored increase / decrease value exceeds a predetermined reference (reference 1), the load current storage device stores the digital signal corresponding to time 2 in the load current storage device. The measured data is recorded in a digital storage device, and if the increase / decrease value does not exceed the reference 1, the section average value of the load current at the time 2;
Calculate and digitize the section minimum value and section maximum value, and set time 2
By recording each unit as a unit in the digital storage device, it is possible to secure the measurement accuracy required for the power consumption diagnosis and reduce the amount of use of the digital storage device.

The diagnostic processing device 3 calculates the increase / decrease value of the measurement data received by the data receiving means 31 as the first increase / decrease value.
Monitoring in a third period that is an integral multiple of the period, and comparing the monitored increase / decrease value during the third period with a predetermined second criterion, and monitoring the monitored increase / decrease value in the second criterion. The data smoothing means 36 further includes, when the number of times exceeds the average, the average value of the measurement data in the third cycle as the measurement data in the third cycle.

Thus, according to the present invention, the load current is measured in a short fundamental cycle (time 1) by a clamp-type ammeter or the like installed on the power line connected to the electric workpiece, and is a multiple of time 1. The increase / decrease value of the load current at time (time 2) is monitored, and when the monitored increase / decrease value exceeds a predetermined reference, the load current value is validated, and the average value of the activated data is compared with the load current value at time 2 By doing so, the dispersion due to instantaneous load current fluctuation is eliminated,
The load current value and the power value during a long measurement time can be smoothed.

Further, according to the present invention, the difference at time t between the smoothed time-series load current fluctuation and the time-series load current fluctuation before being smoothed is extracted as a time-series differential load current. Power source (power line) to be measured
Measurement devices that share the same can be specified. Further, according to the present invention, the similarity can be calculated by comparing the time-series difference load current with predetermined load current fluctuation information (fluctuation pattern) at the time of starting operation specific to the device.

Further, according to the present invention, when the load current fluctuation information (fluctuation pattern) is collated, the individual load current fluctuation information of the plurality of load current fluctuation information is expanded, compressed, and started in the time series direction. By combining after moving and collating with the time-series differential load current, it is possible to specify the configuration of a plurality of devices constituting the time-series differential load current. FIG. 2 is a flowchart illustrating a method for automatically diagnosing a power consumption state to achieve the object of the present invention. As shown in FIG.
According to the method of the present invention, measurement data representing the power consumption situation is measured from a distribution board on which power consumption devices are scattered over a wide area (step 1), and the measured measurement data is transmitted to a database and diagnosed through a communication line. Automatically transmit to the computer where the device is installed at regular intervals (Step 2), receive and accumulate the transmitted measurement data (Step 3), and characterize the accumulated measurement data as a time-series fluctuation pattern (Step 2). 4) Automatically classifying the power load status and the usage status for each predetermined event based on the characterized time-series fluctuation pattern (step 5), and classifying the event information as a result of the classification into a predetermined information terminal. (Step 6).

Further, in the remote automatic diagnosis system for power consumption according to the present invention, the measurement processing device and the diagnosis processing device may be realized as a program (software) recorded on a computer-readable recording medium. Therefore, the present invention provides a remote automatic diagnosis system for power consumption status, in which measurement data representing the power consumption status of power consuming devices on the customer side is collected and the collected measurement data is diagnosed on the service providing side. And a computer-readable recording medium having recorded thereon. The above-mentioned measurement data collection program transmits measurement data representing a power consumption status from a clamp-type measuring instrument connected between at least one power consuming device and a distribution board in a first cycle of a basic cycle.
And a code for monitoring the increase or decrease of the measurement data in a second cycle that is an integral multiple of the first cycle, and a code for monitoring the increase or decrease during the first cycle. A code to be compared with the first criterion and information indicating the second cycle is added to the measurement data collected during the first cycle when the monitored increase / decrease value exceeds the first criterion. The associated code,
In other cases, a code for calculating the section average value, the section minimum value, and the section maximum value of the measurement data from the measurement data in the second cycle is collected so as to be transmitted via a communication line. And a code for creating a series of the measured data.

The present invention also provides a remote automatic power consumption diagnosis system for collecting measurement data representing the power consumption status of power consuming devices on the customer side and diagnosing the collected measurement data on the service providing side. Includes a computer-readable recording medium that stores a consumption status diagnostic program. The diagnostic program includes a code for extracting measurement data representing the power consumption state from a sequence received via a communication line, a code for characterizing the measurement data as a time-series variation pattern, and a code for characterizing the time series. It is characterized by having a code for classifying the power consumption situation on the customer side according to a predetermined event based on a fluctuation pattern, and a code for specifying an information terminal to which event information indicating a classification result is distributed.

Further, the diagnostic program includes a code for monitoring an increase / decrease value of the extracted measurement data in a third cycle which is an integral multiple of the first cycle, and a code for monitoring the increase / decrease value in the third cycle. A code for comparing the increase / decrease value with a predetermined second criterion, and, when the monitored increase / decrease value exceeds the second criterion, calculating an average value of the measurement data during the third cycle; And a code for acquiring the smoothed measurement data in the third cycle.

The diagnostic program may further include a code for extracting a difference between the series of the smoothed measurement data and the series of the non-smoothed measurement data as the time-series variation pattern. I do. The diagnostic program may further include a code for comparing the time-series variation pattern with time-series variation information of measurement data at the time of starting operation unique to each predetermined power consuming device, and calculating a similarity. It is characterized by.

The diagnostic program transforms the plurality of predetermined time-series fluctuation information so as to overlap with each other with respect to a time axis, synthesizes the information, and generates time-series fluctuation information to be collated with the time-series fluctuation pattern. Is further provided.

[0024]

FIG. 3 is a block diagram of a remote automatic diagnosis system for power consumption according to one embodiment of the present invention.
The system for automatically diagnosing power consumption according to one embodiment of the present invention includes a power line 6 connected to an electric workpiece / distribution panel 1.
, A measurement processing device 20, and a diagnostic processing device 30 connected to the measurement processing device 20 via the communication medium 4.

The measurement processing device 20 includes a data measurement device 201 installed on an electric work or a power line connected to a distribution board, a first data storage device 202 for storing short-period measurement data, The second to store the measurement data of
From the first data storage device 202 in accordance with the time-series load current value based on the measurement data.
A data compression device 204 that transfers measurement data to the data storage device 203 of the first data communication device; and a first data communication device 205 that transmits and receives measurement data stored in the second data storage device 203 via the specified communication medium 4. including.

The diagnostic processing device 30 associates and holds the second data communication device 301 for transmitting and receiving data via the communication medium 4 with the measurement device information of the transmission source stored in the information database 303. A data management device 302, a measurement data smoothing device 304 for smoothing a time-series load current value pattern based on measurement data, and a measurement data characterization device 305 for characterizing a time-series load current value pattern based on measurement data. Having. The diagnostic processing device 30 derives an event corresponding to a time-series load current value pattern based on measurement data using the knowledge acquiring device 311 that acquires diagnostic knowledge stored in the diagnostic knowledge database 310 and the acquired diagnostic knowledge, And an event diagnosis device 312 that outputs an event (diagnosis result).

The diagnostic processing unit 30 generates an diagnostic knowledge stored in the diagnostic knowledge base 310. The diagnostic processing unit 30 specifies an event corresponding to a time-series load current value pattern based on the measurement data. Using the information 307, the time series load current value pattern and the event teaching device 306
And a knowledge storage device 309 for storing the diagnostic knowledge generated by the diagnostic knowledge generating device 308 in the diagnostic knowledge database 310.

The diagnostic processing device 30 is a measurement operation instructing device 31 for starting and stopping the measurement operation in the measurement processing device 20 and setting various measurement conditions (parameters).
4 as well. On the other hand, the measurement processing device 20 includes a measurement operation management device 207 that operates and manages the data measurement device 201 and the data compression device 204 in response to an instruction from the measurement operation instruction device 314 of the diagnostic processing device 30. The parameters set in the measurement operation instruction device 314 are as follows:
The data is supplied to the measurement operation management device 207 via the second data communication device 301, the communication medium 4, and the first data communication device 205 of the measurement processing device 20.

As shown in FIG. 3, the remote automatic diagnosis system according to one embodiment of the present invention comprises a measurement processing device 20 and a diagnosis processing device 30. Measurement processing device 20
Includes a data measurement device 201, first and second data storage devices 202 and 203, and a data compression device 204
, A measurement operation management device 207, and a first data communication device 205. The measurement processing device 20 is arranged together with an electric work or a distribution board to be measured, and the whole of them is handled as a measuring instrument unit.

The diagnostic processing device 30 includes a second data communication device 301, a data management device 302, a data smoothing device 304, a data characterization device 305, an event teaching device 306, and a diagnostic knowledge generation device. A device 308, a knowledge storage device 309, a knowledge acquisition device 311, an event diagnosis device 312, and a measurement operation instructing device 314 are provided, and all of them are handled as a diagnostic device unit.

The unit of measuring instrument and the unit of diagnostic equipment are general public line (analog and digital), wireless line (mobile phone,
(PHS, satellite line, etc.) and the Internet or other communication media. Also, a plurality of measuring instrument units can be connected to one diagnostic device unit via the same communication medium. Next, advantageous functions of the system for automatically diagnosing power consumption according to the embodiment of the present invention will be described.

First, the measurement data acquired by the data measuring device 201 connected to the electric work or the distribution board to be measured is stored in the data compression device 204 and the first and second data storage devices 202 and 203. By using the above, the storage capacity required for holding the measurement data is reduced. Second, the first and second data communication devices 205
And 301, the data measuring device 20 connected to the electric work or distribution board to be measured
1 and the first and second data storage devices 202 and 203
And the measurement data acquired and accumulated by the data compression device 204 are transferred to the outside of the measuring instrument unit via the designated communication medium, so that the measuring data is continuously collected with the measuring instrument installed. be able to.

Third, in the data smoothing device 304, a unit time which is an integral multiple (positive multiple) of the measurement basic cycle (sampling interval) is set, and the load current (effective) in the unit time is set for each measurement basic cycle. If the variation coefficient exceeds a predetermined value (threshold), the measurement output in the section is enabled in the next unit time if the variation coefficient exceeds a predetermined value (threshold). If it is the same as the output value and does not exceed the threshold value, the average value of the measurement data in the section is calculated, and as the output in the unit time, the time-series measurement data is smoothed.

Fourth, the data characterization device 305 characterizes the measurement data by extracting a time-series differential value of the original load current information (effective value) in the measurement data and using the differential value as a feature amount. Fifth, the data characterization device 30
The measurement data feature quantity and the event determination information corresponding to the measurement data, which are the outputs of No. 5, are associated with each other using the event teaching device 306 and the diagnostic knowledge generation device 308, and are saved by the knowledge storage device 309, so that they are reused. Possible diagnostic knowledge is generated.

Sixth, the event diagnostic device 3 compares the measured data feature quantity output from the data characterization device 305 with the diagnostic knowledge output from the knowledge acquiring device 311 (similarity calculation).
This is performed in step S12, and the identification of an event corresponding to the measurement data and various diagnosis results are output. Further, according to one aspect of the present invention, the measurement data feature amount is represented as an arbitrary number (dimension) of numerical value series, and each numerical value in the numerical value sequence is set as a central value, and the degree of ambiguity based on a predetermined ratio By adding the variance and the variance value, a fuzzy membership function (described later) is generated, and a set of these fuzzy membership functions is regarded as diagnostic knowledge as one unit.

Further, according to another aspect of the present invention, the degree of matching between each numerical value in the numerical value sequence of the measured data feature amount and the corresponding fuzzy membership function, and the accuracy (importance) corresponding to each fuzzy membership function Using the (degree) numerical value, these minimum values, or the sum-of-sum operation value or the multiplication operation value, are calculated, and are determined as the similarity between the measurement data and the diagnostic knowledge. In another embodiment of the present invention, the characteristic amount of the time-series load current information at the time of starting operation of each device specified in advance is calculated by the data characterization device 305, and the diagnostic knowledge is generated by the diagnostic knowledge generating device 308. After that, each fuzzy membership function in the diagnostic knowledge is reduced or expanded in a time-series direction in a predetermined value range, and the accuracy of comparison with the measurement data feature is improved.

In another aspect of the present invention, a plurality of pieces of the diagnostic knowledge are superimposed, synthesized in the time series direction, and collated to identify a plurality of components of the load current information congested in the time series direction. I do. Next, the operation of the system for automatically diagnosing power consumption according to one embodiment of the present invention will be described with reference to FIG.

Step 11: Using the data measuring device 201 connected to the clamp-type ammeter 7 attached to the circuit to be measured on the distribution board on which the electric workpiece is installed,
The load current value is measured at a predetermined short basic cycle (time 1). Step 12: The load current value measured and obtained by the data measurement device 201 is stored in the first data storage device 202 in a time series as measurement data.

Step 13: first data storage device 20
It is determined whether the measurement data stored in 2 has reached the given number, and if not, the process returns to step 11. Step 14: When the number of measurement data reaches a given number, the data compression device 204 is driven, and the increase / decrease value of the load current at a time (time 2) that is a multiple of time 1 is monitored. When the increase / decrease value exceeds a predetermined reference (criterion 1), the time 2 is stored in the load current storage device.
If the increase / decrease value does not exceed the reference 1, the section average value, the section minimum value, and the section maximum value of the load current at time 2 are calculated and digitized. After processing (compressing) the measurement data based on a compression condition that sets the measurement data as one unit, the compressed measurement data is stored in the second data storage device 203.

Step 15: second data storage device 20
It is determined whether the number of measurement data stored in Step 3 has reached a predetermined number, and if not, Step 11
Return to Step 16: When the measurement data reaches a predetermined number, the first data communication device 205 is driven, and the measurement data in the second data storage device 203 is transferred to the second data storage device 203 via the communication medium 4, The data is transferred to the data management device 302 via the data communication device 301.

Step 17: The data management device 302
The transferred measurement data is combined with the corresponding measuring instrument information and stored in the information database 303. Also,
The measurement data is also transferred to the data smoothing device 304 and the data characterization device 305 at the same time. Step 18: The measurement data is smoothed in the data smoothing device 304, and the measurement data is characterized in the data characterization device 305.

Step 19: It is determined whether or not an event corresponding to the measurement data is predetermined. Step 20: When an event corresponding to the measurement data is determined in advance, the event teaching device 306 is driven, and together with the event determination information and the measurement data feature amount output from the data characterization device 305, the diagnostic knowledge generation device 308 is used. Transfer to
Generate diagnostic knowledge. The diagnostic knowledge generated here is additionally stored (filed) as diagnostic knowledge by the knowledge storage device 309.

Step 21: When the event corresponding to the measurement data is unknown, the measurement data feature value output from the data characterization device 305 is transferred to the event diagnosis device 312. Here, the event diagnosis device 312 drives the knowledge acquisition device 311 to obtain a separately stored (filed) diagnosis knowledge group, and checks each diagnosis knowledge included in the diagnosis knowledge group with the measurement data feature amount. Then, the degree of match (probability of the event) is calculated, and the result is output as a diagnosis result together with the corresponding event (such as the event name).

The measuring operation instructing device 31 may be used if necessary.
By driving the control unit 4, a measurement operation instruction such as a start of measurement, an end of measurement, and a change in measurement interval is transmitted to the measurement operation management device 207 via the second and first data communication devices 301 and 205. The measurement operation management device 207 drives and stops the data measurement device 201 and sets and changes the operation conditions (parameters) of the data compression device 204 based on the received measurement operation instruction.

As described above, according to one embodiment of the present invention,
The measurement with the required accuracy and the reduction of the storage area (storage capacity) accompanying the holding of the measurement data are realized by providing the compression mechanism. Further, by using the communication medium 4, the system is configured to be able to collect measurement data without relocating a set of measuring instruments.
Therefore, there is no need to install and collect a measuring instrument every time measurement is performed as in the related art, and it is possible to collect measurement data with high accuracy without significantly increasing the data storage area.

Further, according to one embodiment of the present invention, the smoothing function and the characterization function of the measured data enable patterning of time-series load current information and accumulation and collation as diagnostic knowledge. As a system is constructed, when a certain amount of diagnostic knowledge has been accumulated, it is compatible with measurement data (time-sequential load current information) without depending on the knowledge and visual judgment of a skilled professional engineer as before. The event to be performed can be specified and output as a diagnosis result to be notified.

Next, the process of storing the measurement data will be described in detail. FIG. 5 is a flowchart showing a procedure of a measurement data storage process by the data measurement device, the first and second data storage devices 202 and 203, and the data compression device 204 of the remote automatic diagnosis system according to one embodiment of the present invention. FIG. Step 31: To grasp the characteristics of the device to be measured,
The data measurement device 201 measures the load current value based on a predetermined basic measurement cycle, and uses the measured value as measurement data to start measurement.

Step 32: The measurement data is stored as time-series data in the first data storage device 202 for each basic measurement cycle. Step 33: The data compression device 204 determines whether the number of measurement data stored in the first data storage device 202 has exceeded a predetermined number A. Step 34: When the number of measurement data exceeds the predetermined number A, the data compression device 204 calculates the section variation rate of the measurement data group. Here, the ratio of the minimum / maximum value, the variance, the standard deviation, and the like of the measurement data group are used for calculating the section change rate.

Step 35: The data compression device 204
It is determined whether the calculated section change rate exceeds a predetermined number B. Step 36: When the predetermined number B is exceeded, the measurement data in this section is stored in such a form that it can be used as it is. Therefore, the section data start identifier, the measurement stored in the first data storage device 202 for this section. In the order of the data group and the section data end identifier, the second data storage device 203
To store. Here, the section data start identifier and the section data end identifier use a symbol string unique to the measurement data group.

Step 37: The data compression device 204
When the section variation rate does not exceed the predetermined number B, the average value of the measurement data stored in the first data storage device 202 is calculated and stored in the second data storage device 203. Step 38: It is determined whether or not a measurement stop command has been issued from the measurement operation management device 207. If not, the process returns to step 31 to continue the measurement. If a command has been issued, the measurement is stopped.

Thus, the measurement data group stored in the second data storage device 203 can specify and extract the measurement data according to the target accuracy by referring to the section data start identifier and the section data end identifier. become able to. Next, the smoothing processing of the measurement data will be described.
FIG. 6 shows a data management device 302 and a data smoothing device 3.
FIG. 14 is a flowchart showing a procedure for smoothing measurement data according to step S04.

Step 41: Data smoothing device 304
Obtains a measurement data group received by the second data communication device 301 through the data management device 302, and adds an integer multiple (positive multiple) of the measurement basic cycle (sampling interval) to the acquired measurement data group. Then, a load current (effective value) in the unit time is calculated for each basic measurement period.

Step 42: It is determined whether or not the load current per unit time for each measurement basic cycle has increased. If the number does not increase, the process returns to step S41, and the process for the next measurement data is performed. Step 43: When the load current per unit time increases, the variation coefficient (σ / x) from the increase
It is calculated according to the following equation.

[0054]

(Equation 1)

In the equation, x _i represents a sampled measured value, and x represents an average of the sampled measured values. Step 44: Determine whether the calculated variation coefficient exceeds a predetermined number C. Step 45: When the variation coefficient exceeds the predetermined number C, the measurement output in the section is set to be the same as the effective output value in the unit time of any of the preceding and following sections.

Step 46: If the variation coefficient does not exceed the predetermined value, the average value of the measured data in the section is calculated and output as the output in the section. The output in the section for each unit time thus obtained is smoothed measurement data, that is, smoothed data. Step 47: The difference (increase / decrease) between the smoothed data and the original measurement data group is calculated and output as time-series information.

The data characterization device 305 includes the smoothed time-series information supplied from the data smoothing device 304,
Using the original measurement data supplied from the data management device 302, various characteristic amounts of the measurement data, for example, a change rate and the like are calculated. Next, generation of diagnostic knowledge will be described. FIG. 7 shows a data characterization device 305, an event teaching device 306, a diagnostic knowledge generation device 308, and a knowledge storage device 3.
FIG. 9 is a flow chart showing a procedure for generating diagnostic knowledge according to the present invention.

Step 51: The event teaching device 306 determines the presence or absence of externally provided event determination information. Step 52: If no event determination information has been given, the diagnostic knowledge generation processing is interrupted. Step 53: If event determination information is given,
Driving the diagnostic knowledge generation device 308 and the data characterization device 3
The measurement data feature group output from the step 05 is transferred to the diagnostic knowledge generation device 308. The diagnostic knowledge generation device 308 sets each feature amount in the measurement data feature amount group as a central value, adds an ambiguity and a variance value based on a predetermined ratio,
Generate a fuzzy membership function group. FIG. 8 shows a general fuzzy membership function defined in this way.

Step 54: Diagnostic knowledge generating device 308
Then, the fuzzy membership function group is associated with the event determination information. Next, the diagnostic knowledge generation device 30
8 transfers the associated fuzzy membership function group and event determination information to the knowledge storage device 309 as diagnostic knowledge. Step 55: The knowledge storage device 309 stores the diagnostic knowledge provided from the diagnostic knowledge generating device 308 (files).
I do.

The diagnostic knowledge stored here can be arbitrarily referenced by the knowledge acquiring device 311. FIG.
FIG. 9 is a flowchart showing a procedure for specifying an event corresponding to measurement data (generating a diagnosis result) by a data characterization device 305, a knowledge acquisition device 311 and an event diagnosis device 312.

Step 61: data characterization device 305
Applies the derivative in the time series direction to the original measurement data group given from the data management device 302, and outputs the obtained differential coefficient as a change rate. This change rate represents a transient characteristic of the load current, and a time series of the change rate is called a change rate pattern. Step 62: Also, the data characterization device 305, from the measurement data group smoothed by the data smoothing device 304, measures data representing the increment and time information (index) corresponding to the time when the measurement data was acquired. Data) and get. The time series of this measurement data is as follows:
It is called a measurement data pattern.

The measured data pattern and the change rate pattern at the start of operation and the measured data pattern at the time of operation for each electric device are previously stored in the data characterization device 305 and for each electric device used on the customer side. Event teaching device 30
6, the diagnostic knowledge generation device 308, and the knowledge storage device 309
And stored in the diagnostic knowledge database 310.

Step 63: The event diagnosis device 312 collates the measured data pattern and the change rate pattern at the start of operation for each device stored in the diagnostic knowledge database 310 with the change rate in the index data. Each measurement data pattern is compared with the original measurement data, and the similarity between the variation pattern of the measurement data stored in advance for each device and the variation pattern of the current measurement data is calculated.

Step 64: Next, it is determined whether or not the calculated similarity exceeds a predetermined number D. Step 65: If the similarity exceeds the predetermined number D, it is regarded as the same pattern, and the electric device information having the pattern is output. Step 66: Check whether the measured data value (load current value or power value) itself is approximate, and if so, the reference electronic device from which the fluctuation pattern is extracted from the diagnostic knowledge database 310 Then, it is determined that the electrical device that has generated the currently measured data is the same device. If they are not approximate, the diagnosis result generation processing ends.

Step 67: If the similarity does not exceed the predetermined number D, it is determined whether or not all combinations of two or more device measurement data patterns are taken into consideration. If completed, the diagnostic result generation process ends. Step 68: If there is a combination that has not been combined, a plurality of patterns are superimposed in the time-series direction to create a combined pattern.
2 and the similarity is calculated. Here, when creating a combined pattern, a plurality of combined patterns can be created by performing expansion, contraction, and starting point movement of each pattern in the time series direction in a predetermined value range (step 69).

As described above, the above-described diagnosis result generation processing is applied to all the device measurement data patterns held in the diagnosis knowledge database 310 by the system, and when the similarity exceeds a predetermined value, or The process is completed when the similarity calculation with all the device measurement data and the device measurement data synthesized therefrom is completed. In addition, the configuration of the remote automatic diagnosis system for the power consumption status according to the embodiment of the present invention is not limited to the example described in the above-described embodiment. ), Recorded in a disk device or the like, and installed on the computer of the remote automatic diagnosis system as needed to execute the processing. Further, the constructed program can be stored in a portable recording medium such as a floppy disk or a CD-ROM, and can be used for general use in a case where such a remote automatic diagnosis system is used.

The present invention is not limited to the above embodiment, but can be variously modified and applied within the scope of the claims.

[0068]

According to the present invention, it is possible to greatly increase the measurement accuracy and the amount of measurement data while suppressing an increase in the cost of the measuring instrument. Reduction of costs associated with collection and real-time measurement data collection and diagnostic processing are possible, and by automating measurement data collection, management, and diagnostic processing, stable without being affected by human resources such as skilled technicians The time and cost in a series of operations from measurement to diagnosis are greatly reduced. -Regarding measurement accuracy and data amount In addition, according to the present invention, it is possible to reduce the capacity of a storage device required for load current measurement when a plurality of measurement targets and measurement purposes that require multiple measurement accuracy are mixed. become,
Costs can be significantly reduced. Regarding smoothing of measurement data Also, according to the present invention, without installing a measuring device for each device to be measured, extracting and specifying device operation patterns including starting and ending operation of each device, The standby power consumption can be calculated, the cost associated with the installation of the measuring instrument can be reduced, and the operation pattern of the device can be easily generated on the premise of energy saving. Regarding analysis of time-series load current value In addition, according to the present invention, it is possible to formulate similarity determination of a load current pattern, which has conventionally depended on the characteristics of each individual engineer, and to automate the determination. The determination result can be obtained, and at the same time, the determination cost can be reduced.

[Brief description of the drawings]

FIG. 1 is a principle configuration diagram of the present invention.

FIG. 2 is a diagram illustrating the principle of the present invention.

FIG. 3 is a configuration diagram of a remote automatic diagnosis system of a power consumption state according to an embodiment of the present invention;

FIG. 4 is an operation flowchart of a remote automatic diagnosis system for power consumption according to an embodiment of the present invention;

FIG. 5 is an operation flowchart of measurement data storage processing of the remote automatic diagnosis system according to one embodiment of the present invention.

FIG. 6 is an operation flowchart of measurement data smoothing processing of the remote automatic diagnosis system according to one embodiment of the present invention.

FIG. 7 is an operation flowchart of diagnostic knowledge generation processing of the remote automatic diagnosis system according to one embodiment of the present invention.

FIG. 8 is an explanatory diagram of a fuzzy membership function.

FIG. 9 is an operation flowchart of a diagnosis result generation process of the remote automatic diagnosis system according to one embodiment of the present invention.

[Explanation of symbols]

 REFERENCE SIGNS LIST 1 power consumption equipment / distribution board 2 measurement processing device 3 diagnostic processing device 4 communication line 5 information terminal 21 clamp-type measurement circuit 23 data storage unit 25 data transmission unit 27 data compression unit 31 data reception unit 32 data management unit 33 data characteristics Means 34 diagnostic means 35 distribution means

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Ken Nakamura 3-6 Kioicho, Chiyoda-ku, Tokyo Inside the Add-in Research Laboratories (72) Inventor Masaki Watanabe 1-3-1 Kitaichijo Higashi 3-chome, Chuo-ku, Sapporo, Hokkaido 1 Foundation F-term in Hokkaido Electric Safety Association (reference) 5G064 AA00 AB03 AC09 CB03 CB04 DA03

Claims (13)

[Claims] 1. A clamp type measuring means connected between at least one power consuming device and a distribution board for measuring a signal indicating a power consumption state in a first cycle which is a basic cycle, and connected to a communication line. A measurement processing device including a data transmission unit that transmits measurement data corresponding to the measured signal; and a data reception unit that receives the measurement data from the measurement processing device via the communication line; Data management means for accumulating the measured data obtained, data characterization means for characterizing the accumulated measurement data as a time-series variation pattern, and power consumption in the measurement processing device based on the characterized time-series variation pattern. A diagnosis processing device including a diagnosis unit configured to classify a consumption situation by a predetermined event, and a distribution unit configured to distribute event information indicating a classification result to a predetermined information terminal. Automatic remote diagnosis system power consumption situation, characterized in that it is composed of. 2. The data processing device according to claim 1, wherein the measurement processing device stores the measurement data collected in the first cycle, and increases or decreases the measurement data in a second cycle that is an integral multiple of the first cycle. Monitoring the value and comparing the monitored increase or decrease during the first cycle to a predetermined first criterion;
When the monitored increase / decrease value exceeds the first reference, the measurement data collected during the first cycle is stored in the data storage means together with information representing the second cycle. In the case of, further comprising a data compression means for calculating a section average value, a section minimum value, and a section maximum value of the measurement data from the measurement data in the second cycle, and storing the calculated data in the data storage means. The remote automatic diagnosis system according to claim 1, wherein: 3. The diagnostic processing apparatus according to claim 1, wherein the diagnostic data monitors an increase / decrease value of the measurement data received by the data receiving means in a third cycle that is an integral multiple of the first cycle, and performs the monitoring during the third cycle. The measured increase / decrease value is compared with a predetermined second criterion, and when the monitored increase / decrease value exceeds the second criterion, the average value of the measurement data during the third cycle is changed to the third criterion. 2. The apparatus according to claim 1, further comprising a data smoothing unit that sets the measurement data in the cycle.
Or the remote automatic diagnosis system according to 2. 4. A remote power consumption status automatic diagnosis system for collecting measurement data representing the power consumption status of a power consuming device on a customer side and diagnosing the collected measurement data on a service providing side, wherein at least one power A clamp-type measuring means connected between the consumer device and the distribution board for measuring a signal representing the power consumption status in a first cycle which is a basic cycle, and measuring data connected to the communication line and corresponding to the measured signal Data transmission means for transmitting the measurement data; data storage means for storing the measurement data collected in the first cycle; and monitoring the increase / decrease value of the measurement data in a second cycle that is an integral multiple of the first cycle. Comparing the monitored increase / decrease value during the first cycle with a predetermined first criterion;
When the monitored increase / decrease value exceeds the first reference, the measurement data collected during the first cycle is stored in the data storage means together with information representing the second cycle. In the case of, further comprising a data compression means for calculating a section average value, a section minimum value, and a section maximum value of the measurement data from the measurement data in the second cycle, and storing the calculated data in the data storage means. A measurement processing device characterized by the above-mentioned. 5. A remote automatic power consumption diagnosis system for collecting measurement data representing the power consumption status of a power consuming device on a customer side and diagnosing the collected measurement data on a service providing side, wherein the system is provided with a communication line. Data receiving means for receiving measurement data representing the power consumption status measured on the customer side; data management means for storing the received measurement data; and characterizing the stored measurement data as a time-series variation pattern. Data characterization means; diagnosis means for classifying the power load status and usage status in the measurement processing device for each predetermined event based on the characterized time-series variation pattern; and event information indicating the classification result is predetermined. And a delivery unit for delivering the information to the information terminal. 6. A means for monitoring an increase / decrease value of the measurement data received by said data receiving means at a third cycle which is an integral multiple of said first cycle, and said monitored increase / decrease value during said third cycle. Is compared with a predetermined second reference, and when the monitored increase / decrease value exceeds the second reference, an average value of the measurement data during the third cycle is measured in the third cycle. 6. The diagnostic apparatus according to claim 5, further comprising data smoothing means for converting data. 7. A power distribution panel provided with power consuming devices scattered over a wide area measures measurement data representing a power consumption situation, and a database and a diagnostic device are installed on the measured data via a communication line. Automatically transmit to a computer at regular intervals, receive and accumulate the transmitted measurement data, characterize the accumulated measurement data as a time-series variation pattern, and load power based on the characterized time-series variation pattern. A method for remotely diagnosing power consumption, characterized by automatically classifying a situation and a use situation according to a predetermined event and distributing event information as a classification result to a predetermined information terminal. 8. A remote power consumption status automatic diagnosis system for collecting measurement data indicating the power consumption status of a power consuming device on a customer side and diagnosing the collected measurement data on a service providing side. A recording medium readable by a recorded computer, wherein the measurement data collection program reads measurement data representing a power consumption state from a clamp-type measuring instrument connected between at least one power consumption device and a distribution board. A code for reading in a first cycle which is a basic cycle, a code for monitoring an increase / decrease value of the measurement data in a second cycle which is an integral multiple of the first cycle, and a code which is monitored during the first cycle. A code for comparing the increased / decreased value with a predetermined first criterion, and a code for determining whether the monitored increase / decrease value exceeds the first criterion. A code for associating information representing the second cycle with the measurement data collected during one cycle, and otherwise, the section average value of the measurement data from the measurement data within the second cycle A recording medium comprising: a code for calculating a section minimum value and a section maximum value; and a code for creating a series of measurement data collected to be transmitted via a communication line. 9. A power consumption status remote automatic diagnosis system for collecting measurement data representing the power consumption status of a power consuming device on a customer side and diagnosing the collected measurement data on a service providing side. A computer-readable recording medium recording a program, the diagnostic program comprising: a code for extracting measurement data representing the power consumption status from a sequence received via a communication line; A code for characterizing as a pattern, a code for classifying the power consumption situation on the customer side according to a predetermined event based on the characterized time-series variation pattern, and an information terminal to which event information representing the classification result is distributed And a code for designating the following. 10. The diagnostic program according to claim 1, further comprising: a code for monitoring an increase / decrease value of the taken out measurement data at a third cycle which is an integral multiple of the first cycle, and wherein the monitored value is monitored during the third cycle. A code for comparing the increase / decrease value with a predetermined second criterion, and, when the monitored increase / decrease value exceeds the second criterion, calculating an average value of the measurement data during the third cycle; 10. The recording medium according to claim 9, further comprising: a code for acquiring the smoothed measurement data in the third cycle. 11. The diagnostic program according to claim 1, further comprising a code for extracting a difference between the series of the smoothed measurement data and the series of the non-smoothed measurement data as the time-series variation pattern. The recording medium according to claim 9 or 10, wherein 12. The diagnostic program according to claim 1, wherein the time series variation pattern is compared with time series variation information of measurement data at the time of starting operation specific to each predetermined power consuming device, and a code for calculating a similarity is provided. The recording medium according to claim 9, further comprising: 13. The diagnostic program transforms the predetermined plurality of time-series fluctuation information so as to overlap on a time axis, synthesizes the information, and generates time-series fluctuation information to be collated with the time-series fluctuation pattern. 13. The recording medium according to claim 12, further comprising a code for causing the program to execute.