JP2016130904A - Management device, detection device, management system, control method of management device, control program, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To grasp a product that has a higher energy consumption rate when produced.SOLUTION: A management device comprises: a data acquisition part (21) that acquires energy consumption of a production line (3) and a production trigger indicating that the production line (3) has produced a predetermined amount of products; and a consumption rate calculation part (22) that calculates an energy consumption rate that is an energy consumed by producing the predetermined amount of products.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a management device, a detection device, a management system, a management device control method, a control program, and a recording medium that manage energy consumption of a production facility.

  In recent years, energy saving has been promoted in various facilities (lighting equipment, air conditioning equipment, production equipment, etc.) installed in offices, factories, etc., from the perspective of preventing global warming, reducing costs, and requesting revised energy conservation laws. . In particular, since the rate of energy consumption of production facilities is extremely large, energy saving of production facilities is required.

  For example, Patent Document 1 describes a system that supports improvement of energy consumed in production facilities. In the system described in Patent Document 1, energy consumption of a production facility is classified into three elements of production, standby, and changeover, and energy consumption is managed for each element.

JP 2010-237774 A (released on October 21, 2010)

  However, since the above-described prior art does not classify the contents of the three elements, the energy intensity (energy required to produce a unit amount of product, etc.) is determined when any product is produced. I don't know if it's expensive. Conventionally, when calculating the energy intensity, for example, the energy required to produce 50 products is 7,500 Wh, so it has been calculated as 150 Wh / piece. Therefore, it is not known which one of the 50 products was made with high energy intensity, and it is not known when and what caused the high energy intensity. It was.

  The present invention has been made in view of the above-described problems, and the object thereof is a management device, a detection device, a management system, and a control method for the management device, which can tell which product has a high energy intensity when produced. It is to realize a control program and a recording medium.

  In order to solve the above problems, the management device according to the present invention includes energy data indicating energy consumption of a production line measured at a time interval shorter than a time interval required for production of a predetermined amount of product, and A data acquisition unit that acquires production time data indicating the production start time of a predetermined amount of product by the production line and the production start time of the next predetermined amount of product, and the next place from the production start time of the predetermined amount of product A basic unit calculating unit that calculates an energy basic unit that is a value obtained by integrating the consumed energy for a period until a production start time of a fixed amount of product.

  According to the above configuration, the energy intensity of a predetermined amount of product can be calculated. Therefore, there is an effect that it is possible to grasp which product is high in energy intensity when produced.

  The management device according to the present invention displays a classification unit that classifies the energy intensity within a reference value and outside the reference value, and each total energy consumed for a predetermined period classified within the reference value and outside the reference value. A display control unit.

  According to the above configuration, the energy intensity classified within the reference value indicates that the production line has produced a predetermined amount of product with energy consumption equal to or less than the reference value. On the other hand, the energy intensity classified outside the reference value indicates that the production line has produced a predetermined amount of product with energy consumption larger than the reference value. That is, the total energy consumption classified outside the reference value obtained by totaling the energy basic units classified outside the reference value for a predetermined period includes a room for reducing energy consumption corresponding to the number of products. Therefore, the display control unit has the total energy consumption classified within the reference value that is the sum of the energy intensity classified within the reference value in the predetermined period, and the energy intensity classified outside the reference value in the predetermined period. By displaying the total energy consumption classified outside the reference value, which is the sum of the above, it is possible to grasp the room for reduction of energy consumption in a predetermined period.

  In addition, the management device according to the present invention includes the energy intensity that is within the reference value within a production plan time for the production start time of the predetermined amount of the product within the reference value. The production start time of the product is included in the planned production time and is outside the standard value, and the basic unit of energy is out of the standard value, and the production start time of the predetermined amount of product is included outside the planned production time. A classification unit that classifies the energy intensity outside production plan time; a display control unit that displays each total energy consumption for a predetermined period classified within the reference value, outside the reference value, and outside the production plan time; May be further provided.

  Normally, energy consumption classified within and outside the standard value, which is the energy consumption within the production planning time, which is the period during which the production line is engaged in production activities, should be managed by the production line manager, etc. . On the other hand, the energy consumption classified outside the production planning time, which is the energy consumption outside the production planning time, which is the period when the production line is not in production, should be managed by the production planner who decides the production planning time. is there.

  According to the said structure, the said classification | category part classifies the consumption energy of a production line into three within a reference value, a reference value outside, and a production planned time. Then, the display control unit displays the energy consumption classified into the reference value, the reference value outside, and the production planned time. Therefore, it is possible to easily grasp who should save energy for which energy consumption.

  Further, the management device according to the present invention, based on the energy intensity classified by the classification unit, the average value of the energy intensity classified within the reference value and the energy intensity classified outside the reference value. Based on a learning value calculation unit that calculates an average value as a learning value, the learning value, the number of planned productions, and a target appearance rate of energy intensity classified outside the reference value, the reference value within the predetermined period and The target value of the total energy consumption of the production line obtained by summing the target values of the total energy consumption classified outside the reference value and the target values of the total energy consumption classified within and outside the reference value. A target value calculation unit that calculates at least one of the values, and the display control unit may further display the target value calculated by the target value calculation unit.

  According to the above configuration, the target value calculation unit is configured to calculate the total energy consumption classified into the reference value and the reference value based on the planned production number and the target appearance rate of the energy intensity outside the reference value. And the target value of the total energy consumption of the production line. For this reason, it is possible to determine a target value of energy consumption according to productivity.

  Further, the management device according to the present invention, based on the energy intensity classified by the classification unit, the average value of the energy intensity classified within the reference value, the energy intensity of the energy intensity classified outside the reference value A learning value calculation unit that calculates an average value and energy consumption per unit time outside the production plan time as a learning value; and the energy value classified outside the learning value, production planning time, planned production number, and reference value Based on the target appearance rate of the unit, the target value of each total energy consumption classified within the reference value, outside the reference value and outside the production plan time, and within the reference value and the reference in the predetermined period The target value of total energy consumption within the production planning time obtained by totaling the target values of the total energy consumption classified as out of value, and the production planning time A target value calculation unit that calculates at least one of the target value of the total energy consumption of the production line that is a sum of the target value of the energy consumption and the target value of the total energy consumption classified outside the planned production time. The display control unit may further display the target value calculated by the target value calculation unit.

  According to the above configuration, the target value calculation unit is configured to target the total energy consumption classified into the reference value and the reference value based on the planned production number and the target appearance rate of the non-reference energy intensity. In addition, a target value of total energy consumption within the production planning time is calculated. Further, the target value calculation unit calculates a target value of total energy consumption classified outside the production plan time based on the production plan time. Further, the target value calculation unit is configured to target the total energy consumption of the production line based on a target value of total energy consumption within the production planning time and a target value of total energy consumption classified outside the production planning time. Calculate the value. For this reason, it is possible to determine a target value of energy consumption according to productivity. Therefore, energy saving according to productivity can be achieved.

  Further, in the management device according to the present invention, the classification unit further includes a production start time of the predetermined amount of product outside a production plan time and a production start time of the predetermined amount of product. During the start-up of the energy intensity that is included in the operation planned time and does not include the production planned time in the period from the start time of the equipment operation planned time to the production start time of the predetermined amount of product, While waiting for the energy intensity, the production start time of the predetermined amount of product is included outside the production planned time and the production start time of the predetermined amount of product is included outside the equipment operation planned time, The production start time of the predetermined amount of product is included outside the production planned time, and the production start time of the predetermined amount of product is included within the equipment operation planned time and Start time The energy intensity including the production plan time in a period until the production start time of the predetermined amount of product is classified as the standby, and the display control unit is within the reference value, outside the reference value, You may display each total energy consumption of the predetermined period classified into the upper middle and the said standby.

  According to the above-described configuration, the energy consumption classified by the classification unit outside the planned production time is further classified into a startup or standby state. Therefore, the energy consumption of the production line can be managed in more detail, and energy saving can be performed with high accuracy.

  Further, the management device according to the present invention, based on the energy intensity classified by the classification unit, the average value of the energy intensity classified within the reference value, the energy intensity of the energy intensity classified outside the reference value A learning value calculation unit for calculating an average value and energy consumption per unit time during startup and standby as a learning value; the learning value, production planning time, facility operation planning time, planned production number, and reference Based on the target appearance rate of the energy intensity unit classified as out of value, the target of each total energy consumption classified into the reference value, the outside of the reference value, the start-up and the standby in the predetermined period Value, and a target value of total energy consumption within the planned production time obtained by summing target values of total energy consumption classified within the reference value and outside the reference value, A target for calculating at least one of the target value of the total energy consumption of the production line obtained by adding up the target value of the total energy consumption within the production planning time and the target value of the total energy consumption classified outside the production planning time A value calculation unit, and the display control unit may further display the target value calculated by the target value calculation unit.

  According to the above configuration, the target value calculation unit is configured to target the total energy consumption classified into the reference value and the reference value based on the planned production number and the target appearance rate of the non-reference energy intensity. In addition, a target value of total energy consumption within the production planning time is calculated. Further, the target value calculation unit calculates a target value of each total energy consumption classified into startup and standby based on the production planned time and the facility operation planned time. Further, the target value calculation unit, based on the target value of total energy consumption within the production plan time and the target value of total energy consumption classified outside the production plan time (standby and startup), Calculate the target value of total energy consumption of the production line. For this reason, it is possible to determine a target value of energy consumption according to productivity. Therefore, energy saving according to productivity can be achieved.

  Further, in the management device according to the present invention, the classification unit includes the energy intensity within a reference value that includes a production start time of the predetermined amount of product within a production plan time. Classifying, classifying the energy intensity that is included in the planned production time of the predetermined amount of product within the planned production time and outside the reference value, and starting the production of the predetermined amount of product Classifying the energy intensity unit whose time is included outside the production planning time and the production start time of the next predetermined amount product is included within the production planning time, and the predetermined amount of the product Production start time and production start time of the next predetermined amount product are included outside the planned production time and within the reference value, the energy intensity is classified within the reference value, and the predetermined amount of the product Production start time and above The above-mentioned energy intensity, which is included in the production start time outside the planned production time and is outside the reference value, is determined from one energy intensity that is the reference value and the reference value from the original energy intensity. The energy unit may be divided into the subtracted energy unit, the one energy unit may be classified within the reference value, and the other energy unit may be classified outside the production plan time.

  When the production line performs production activities beyond the planned production time, the production start time of the predetermined amount of product indicating the start and end of the energy intensity and the production start time of the next predetermined amount of product are produced. It is outside the planned time. As in the above-described configuration, the classification unit has the production start time of the predetermined amount of product indicating the start and end of the energy intensity and the production start time of the next predetermined amount of product are outside the planned production time. In this case, all or part of the energy intensity is classified within the reference value. Therefore, it is possible to accurately classify the energy consumption of production activities on the production line outside this production planning time, and energy saving can be performed with high accuracy.

  Further, in the management device according to the present invention, the classification unit starts production of the predetermined amount of product even if the production start time of the predetermined amount of product is included in the production plan time. The energy intensity that is longer than the predetermined value from the time to the production start time of the next predetermined amount product may be classified outside the production plan time.

  Within the production plan time, for example, a period from the production start time of the predetermined amount of product to the production start time of the next predetermined amount of product may be increased due to a sudden failure or the like. Thus, even if the production start time of the predetermined amount of product is included in the production plan time, the production start time of the predetermined amount of product to the production start time of the next predetermined amount of product When the period is larger than the predetermined value, it is considered that the energy consumption indicated by the energy intensity is not the energy consumed by the production activity of the production line.

  According to the above-described configuration, the classification unit can determine whether the production start time of the predetermined amount of product is included in the production plan time from the production start time of the predetermined amount of product. Accurately classify energy consumed by production activities on the production line and those that do not, in order to classify the energy intensity that is greater than the predetermined value during the period until the production start time of the next specified quantity of product is outside the planned production time Can do. Therefore, energy saving can be performed with high accuracy.

  In the management device according to the present invention, the classification unit produces an energy intensity larger than a predetermined value even if the production start time of the predetermined amount of the product is included in the production plan time. You may classify outside planned hours.

  Within the production plan time, for example, a standby time may increase due to a sudden failure or the like, and the energy intensity may become larger than expected. As described above, even if the energy basic unit included in the production plan time of the predetermined amount of the product is not the energy consumed by the production activity of the production line if the energy basic unit is larger than the predetermined value. It is possible.

  According to the above configuration, the classifying unit outputs an energy unit larger than a predetermined value outside the production plan time even if the production start time of the predetermined amount of product is included in the production plan time. Therefore, it is possible to accurately classify energy consumed by production activities on the production line and those not. Therefore, energy saving can be performed with high accuracy.

  In order to solve the above-mentioned problem, the detection device according to the present invention includes a measuring unit that measures energy consumption of a production line at a time interval shorter than a time interval required for production of a predetermined amount of product, and the production line. A detection unit that detects a production start time of a predetermined amount of product and a production start time of the next predetermined amount of product, and a production start time of the next predetermined amount of product from the production start time of the predetermined amount of product. A basic unit calculation unit that calculates an energy basic unit that is a value obtained by integrating the consumed energy in the period up to.

  According to said structure, there exists an effect similar to the said management apparatus.

  In addition, the management device according to the present invention includes a data acquisition unit that acquires the energy intensity calculated by the detection device, a classification unit that classifies the energy intensity within a reference value and outside the reference value, and within the reference value And a display control unit that displays total energy consumption for a predetermined period classified outside the reference value.

  The management system according to the present invention may include the detection device and the management device.

  In order to solve the above problems, the control method of the management apparatus according to the present invention includes energy data indicating energy consumption of a production line measured at a time interval shorter than a time interval required for producing a predetermined amount of product, And a data acquisition step of acquiring production time data indicating the production start time of the predetermined amount of product and the production start time of the next predetermined amount of product by the production line, and the production start time of the predetermined amount of product. A basic unit calculating step of calculating an energy basic unit that is a value obtained by integrating the consumed energy in a period until the production start time of the next predetermined amount of product.

  According to said structure, there exists an effect similar to the said management apparatus.

  The management apparatus according to each aspect of the present invention may be realized by a computer. In this case, the management apparatus controls the computer to realize the management apparatus by causing the computer to operate as each unit included in the management apparatus. A program and a computer-readable recording medium on which the program is recorded also fall within the scope of the present invention.

  The present invention has an effect of being able to grasp which product is high in energy intensity when produced.

It is a block diagram which shows an example of the principal part structure of the management apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows an example of the outline | summary of the management system which concerns on Embodiment 1. FIG. It is a figure which shows an example of the energy consumption time series data which the data acquisition part of the said management apparatus produces | generates. It is a figure which shows an example of the production date data produced | generated by the said data acquisition part. It is a figure which shows an example of the energy basic unit time series data which the basic unit calculation part of the said management apparatus produces | generates. It is a figure which shows an example of the energy basic unit classification | category time series data which the classification | category part of the said management apparatus produces | generates. It is a figure which shows an example of the formula which the learning value calculation part of the said management apparatus uses for calculation of a learning value. It is a figure which shows an example of the formula which the target value calculation part of the said management apparatus uses for calculation of a target value. It is a figure which shows an example of the management image displayed on the display part of the said management apparatus. It is a figure which shows an example of the production plan time data which shows production plan time. It is a figure which shows an example of the planned production number data which shows the planned production number. It is a flowchart which shows an example of the flow of the process which the said management apparatus performs. It is a flowchart which shows an example of the flow of the energy basic unit calculation process which the said basic unit calculation part performs. It is a flowchart which shows an example of the flow of the energy basic unit classification | category process which the said classification | category part performs. It is a block diagram which shows an example of the principal part structure of the management apparatus which concerns on Embodiment 2 of this invention. It is a figure which shows an example of the formula which the learning value calculation part of the said management apparatus uses for calculation of a learning value. It is a figure which shows an example of the formula which the target value calculation part of the said management apparatus uses for calculation of a target value. It is a flowchart which shows an example of the flow of the energy basic unit classification | category process which the classification | category part of the said management apparatus performs. It is a block diagram which shows an example of a principal part structure of the management apparatus which concerns on Embodiment 3 of this invention. It is a flowchart which shows an example of the flow of the energy basic unit classification | category process which the classification | category part of the said management apparatus performs. It is a block diagram which shows an example of the principal part structure of the management apparatus which concerns on Embodiment 4 of this invention. It is a flowchart which shows an example of the flow of the energy basic unit classification | category process which the classification | category part of the said management apparatus performs. It is a block diagram which shows an example of a structure of the management system which concerns on Embodiment 5, and the apparatus contained in the said system.

<Embodiment 1>
An embodiment (Embodiment 1) of the present invention will be described below with reference to FIGS.

[Management system configuration]
Based on FIG. 2, the management system according to the present embodiment will be described. FIG. 2 is a diagram illustrating an example of an outline of the management system 9 according to the present embodiment.

  The management system 9 is a system for managing energy consumption of the production line 3 including one or a plurality of production facilities 2 installed in the factory 4 or the like. As shown in FIG. 2, the management system 9 includes a management device 1, an energy measurement sensor 5, and an object passage detection sensor (object detection sensor) 6.

  The management device 1 manages the energy consumption of the production line 3 including one or a plurality of production facilities 2 installed in the factory 4 or the like. In the present embodiment, the management device 1 manages the energy consumption of the production line 3 on a daily basis. However, the present invention is not limited to this, and the management apparatus 1 may manage the energy consumption of the production line 3 in units of arbitrary periods such as 30 minutes, 1 hour, 1 week, and the like. Details of functions and processing of the management apparatus 1 will be described later.

  Here, the production line 3 functionally divides a product production process and executes the divided one process. The production line 3 is a functional set including one or a plurality of production facilities 2. That is, the product production process includes one or a plurality of production lines 3. The division unit of the product production process may be arbitrary.

  The production facility 2 operates by consuming arbitrary energy such as electricity, gas, heat, etc., and is directly related to product production activities. The production facility 2 is, for example, a machine / device, a tool, a transportation / storage facility, and the like, and is composed of one or a plurality of energy consuming devices. In the present embodiment, it is assumed that the production facility 2 operates with electric energy.

In addition, when the production line 3 (production facility 2) operates with a plurality of types of energy sources, the management apparatus 1 converts various energy amounts into crude oil amounts or CO ₂ amounts using conversion factors determined by a country or an organization. Etc., and the total value after the conversion may be managed as the energy consumption of the production line 3. Thereby, the management apparatus 1 can centrally manage the various energy consumed by the production line 3 (production facility 2).

  Moreover, the thing supplied by one process which the production line 3, such as production, a process, conveyance, performs is called a product. The product includes a finished product, a part constituting a part of the product, a product used for producing the product or the part, and the like. The number of products supplied by the production line 3 is referred to as the production number. Further, the (actual) time taken for one process executed by the production line 3 is referred to as process time. The process time is, for example, several seconds to several hours, and varies depending on the production line 3.

  The energy measuring sensor 5 measures the energy consumption of the production facility 2 in units of three production lines. Specifically, the energy measurement sensor 5 measures the total energy consumption of one or a plurality of production facilities 2 included in the production line 3 every predetermined period. The energy measurement sensor 5 outputs to the management device 1 energy consumption data (energy data) in which the measured amount of consumed energy of the entire production line 3 is associated with the measured date and time. In the present embodiment, the energy measurement sensor 5 measures the power consumption of the production line 3 (the total of the production facilities 2A to 2D) every second. Note that the measurement interval of the energy measurement sensor 5 is not limited to 1 second, and may be an arbitrary period. Moreover, the energy measurement sensor 5 is installed in the distribution board etc. which supply electric power to the production facilities 2A-2D of the production line 3, for example. The energy measurement sensor 5 measures energy consumption at a time interval shorter than the time interval required for producing a predetermined amount (“one” in the present embodiment) of the product.

  The object passage detection sensor 6 detects a product or an intermediate product supplied by any production facility 2 included in the production line 3. When the object passage detection sensor 6 detects a product or an intermediate product, the object passage detection sensor 6 outputs a production trigger (production signal, detection signal) indicating the date and time when the product or the intermediate product is detected to the management apparatus 1. The object passage detection sensor 6 may be installed at an arbitrary position on the production line 3. In the present embodiment, the object passage detection sensor 6 is installed downstream of the production facility 2D and detects a product supplied by the production facility 2D, but is not limited thereto. For example, the object passage detection sensor 6 may be installed downstream of the production facility 2A, 2B, or 2C, and may detect an intermediate product supplied by the production facility 2A, 2B, or 2C. In the present embodiment, the object passage detection sensor 6 outputs one production trigger every time one product or intermediate product is detected. However, the present invention is not limited to this, and a predetermined amount of product or intermediate product is output. Each time a product is detected, one production trigger may be output.

  In the example shown in FIG. 2, only one production line 3 is installed in the factory 4. However, the present invention is not limited to this, and a plurality of production lines 3 may be installed in the factory 4. In this case, the management device 1 manages the energy consumption of the plurality of production lines 3. In the example shown in FIG. 2, the management device 1 manages the energy consumption of the production line 3 installed in one factory 4, but is not limited to this, and is installed in each of a plurality of factories 4. You may manage the energy consumption of the production line 3 currently used. In the example shown in FIG. 2, the management device 1 is installed in the factory 4 in which the production facility 2 is installed, but is not limited to this, and in a building (office or the like) different from the factory 4. It may be installed.

[Configuration of management device]
Based on FIG. 1, the management apparatus 1 which concerns on this embodiment is demonstrated. FIG. 1 is a block diagram illustrating an example of a main configuration of the management apparatus 1 according to the present embodiment. As illustrated in FIG. 1, the management device 1 includes a control unit 11, a storage unit 12, a communication unit 13, a display unit 14, and an input unit 15.

  The communication unit 13 communicates with other devices such as the energy measurement sensor 5 and the object passage detection sensor 6 by wireless communication means or wired communication means, and exchanges data in accordance with instructions from the control unit 11.

  The display unit 14 displays an image in accordance with an instruction from the control unit 11. The display unit 14 only needs to display an image in accordance with an instruction from the control unit 11, and for example, an LCD (liquid crystal display), an organic EL display, a plasma display, or the like can be applied. In the example illustrated in FIG. 1, the management device 1 includes the display unit 14. However, the present invention is not limited to this, and the management device 1 may display an image on a display device separate from the management device 1. .

  The input unit 15 is for the user to operate the management apparatus 1. The input unit 15 generates an operation signal corresponding to a user operation, and outputs the generated operation signal to the control unit 11. The input unit 15 may be configured by input devices such as a keyboard, a mouse, a keypad, and operation buttons. The input unit 15 may be a touch panel integrated with the display unit 14. Further, the input unit 15 may be a remote control device such as a remote controller separate from the management device 1.

(Control part)
The control unit 11 performs various operations by executing a program read from the storage unit 12 to a temporary storage unit (not shown), and comprehensively controls each unit included in the management device 1. .

  In the present embodiment, the control unit 11 includes, as functional blocks, a data acquisition unit 21, a basic unit calculation unit 22, a classification unit 23, a learning value calculation unit 24, a target value calculation unit 25, a display control unit 26, and an input analysis unit 27. It is the structure provided with. Each functional block of the control unit 11 is realized by a CPU (central processing unit), a program stored in a storage device realized by a ROM (read only memory) or the like, by a RAM (random access memory) or the like. This can be realized by reading out to the temporary storage unit and executing it.

(Data acquisition part)
The data acquisition unit 21 acquires consumption energy data from the energy measurement sensor 5 via the communication unit 13 and acquires a production trigger from the object passage detection sensor 6. The data acquisition unit 21 generates energy consumption time series data in which the acquired energy consumption data is arranged in time series. In addition, the data acquisition unit 21 generates production date / time data in which the date / time indicated by the acquired production trigger is arranged in time series. The data acquisition unit 21 outputs the generated energy consumption time series data and production date / time data to the basic unit calculation unit 22. The energy consumption data and production trigger acquired by the data acquisition unit 21 are referred to as measurement data.

  When the management device 1 manages a plurality of production lines 3, the data acquisition unit 21 acquires consumption energy data and production trigger for each production line 3, and consumption energy time-series data and production date / time for each production line 3. Generate data.

  FIG. 3 shows an example of energy consumption time series data generated by the data acquisition unit 21 according to the present embodiment. As shown in FIG. 3, the energy consumption time-series data is data in which the date and time measured by the energy measurement sensor 5 is associated with the energy consumption amount of the production line 3 for 1 second. The time interval (1 second in this embodiment) of the time series data of energy consumption needs to be shorter than the production period which is the period (deemed period) taken for the production line to produce one product.

  FIG. 4 shows an example of production date data generated by the data acquisition unit 21 according to the present embodiment. As shown in FIG. 4, the production date / time data is data in which the date and time when the object passage detection sensor 6 detects a product or an intermediate product is arranged in time series. In the example illustrated in FIG. 4, the production date / time data further includes a process start date / time and a process end date / time of the management apparatus 1. In this embodiment, since the management apparatus 1 manages the energy consumption of the production line 3 on a daily basis, the processing start date and time is 0:00 every day, and the processing end date and time is 24:00 every day.

  As will be described later, since the basic unit calculation unit 22 considers that the production line 3 has produced one product between production triggers, the production trigger acquired by the data acquisition unit 21 is that the production line produces one product. It can be said that this is a production signal indicating a production period which is a period (deemed period) required for the production. When one production trigger indicates a predetermined amount of product or intermediate product, the production trigger indicates a production indicating a predetermined amount production period, which is a period required for the production line to produce a predetermined amount of product. Signal. In other words, it can be said that the production trigger acquired by the data acquisition unit 21 is production time data indicating the production start time of a predetermined amount of product by the production line 3 and the production start time of the next predetermined amount of product.

(Basic unit calculation unit)
The basic unit calculation unit 22 receives energy consumption time series data and production date / time data from the data acquisition unit 21, and calculates an energy basic unit based on the received consumption energy time series data and production date / time data. Specifically, the basic unit calculation unit 22 considers that the production line 3 has produced one product between each time point indicated by the production date and time data, and from one date and time indicated by the production date and time data to the next date and time. The energy consumption is integrated to calculate the energy intensity, which is the energy consumed by the production line 3 to produce one product. The basic unit calculation unit 22 considers the date and time indicated by the production date and time data as the production start date and time, and sets the energy basic unit data in which the calculated energy basic unit and the date and time indicated by the production date and time data are arranged in time series. Generate time series data. The basic unit calculation unit 22 outputs the generated energy basic unit time-series data to the classification unit 23. Hereinafter, the date and time indicated by the energy intensity data is referred to as the intensity start date and time. That is, the basic unit start date and time is the date and time when the measurement of the energy consumption indicated by the energy basic unit is started. In the production date / time data, the date / time next to the basic unit start date / time is the basic unit end date / time. The basic unit end date and time is the date and time when the measurement of the energy consumption indicated by the energy basic unit is completed.

  FIG. 5 shows an example of energy basic unit time-series data generated by the basic unit calculation unit 22 according to the present embodiment. As shown in FIG. 5, the energy intensity time series data is data in which the energy intensity is associated with the date and time indicated by the production date and time data.

  In addition, when the production trigger indicates a predetermined amount production period, which is a period taken for producing a predetermined amount of product, the basic unit calculation unit 22 is consumed in the production line 3 for producing the predetermined amount of product. You may calculate the energy basic unit which is energy. The predetermined quantity production period is the production start time (base unit end date and time) of the next predetermined amount of product from the production start time (base unit start date and time) of a certain predetermined amount of product indicated by the production date data (production time data) ).

(Classification part)
The classification unit 23 receives the energy intensity unit time-series data from the intensity unit calculation unit 22, and has three types of energy intensity data included in the energy intensity unit time-series data (on standby (outside the planned production time)). , In-standard, non-standard).

  Specifically, the classification unit 23 includes production plan time data 31 indicating production plan time, which is a (scheduled) time during which the production line 3 performs production activities for producing a product, and good energy intensity. The energy basic unit reference value 32, which is a threshold for determining badness, is read from the storage unit 12. The classification unit 23 determines whether the basic unit start date and time indicated by the energy basic unit data is within the production planned time indicated by the production planned time data 31. If the basic unit start date / time is not within the production plan time, the classification unit 23 classifies the energy basic unit data as “standby (outside the production plan time)”. On the other hand, when the basic unit start date and time is within the production plan time, the classification unit 23 further determines whether or not the energy basic unit indicated by the energy basic unit data is equal to or less than the energy basic unit reference value 32. The classification unit 23 classifies the energy intensity data as “within the reference” when the intensity start date / time is within the production plan time and the energy intensity is less than or equal to the energy intensity reference value 32. Further, when the basic unit start date and time is within the production plan time and the energy basic unit is larger than the energy basic unit reference value 32, the classification unit 23 classifies the energy basic unit data as “out of reference”.

  In the following, the energy intensity categorized as “in-standard”, “out-of-standard”, and “standby” are referred to as energy intensity within the standard, non-standard energy intensity, and standby energy intensity, respectively. Called. In other words, the energy intensity within the standard is measured within the production plan time and is the energy intensity within the standard value, and the energy basic unit outside the standard is measured within the production plan time and is outside the standard value. The basic unit of energy consumption on standby is the basic unit of energy measured outside the production planning time.

  The classification unit 23 generates energy basic unit classification data in which a flag indicating the type of classified energy basic unit data is added to the energy basic unit data, and the energy basic unit classification in which the generated energy basic unit classification data is arranged in time series. Generate time series data. The classification unit 23 outputs the generated energy intensity classification time series data to the learning value calculation unit 24. Further, the classification unit 23 stores the generated energy intensity classification time series data in the storage unit 12.

  FIG. 6 shows an example of energy intensity classification time series data generated by the classification unit 23 according to the present embodiment. As shown in FIG. 6, the energy basic unit classification time series data is data in which the energy basic unit classification data in which the basic unit start date and time, the energy basic unit, and the flag are associated with each other are arranged in time series. In the example shown in FIG. 6, the flag has a value of “−1”, “1”, or “2”, “−1” indicates “waiting”, “1” indicates “within reference”, “ “2” indicates “out of standard”.

  The classification unit 23 may classify each energy intensity data included in the energy intensity time series data at least within the reference value or outside the reference value. In this case, when the energy intensity indicated by the energy intensity data is less than or equal to the energy intensity reference value 32, the classification unit 23 classifies the energy intensity data within the reference value, and the energy intensity is determined based on the energy intensity standard. When the value is larger than 32, the energy intensity data is classified outside the reference value.

(Learning value calculator)
The learning value calculation unit 24 receives energy basic unit classification time series data from the classification unit 23, and calculates a learning value necessary for calculating a target value from the received energy basic unit classification time series data. Specifically, the learning value calculation unit 24 calculates the average value of the energy intensity within the reference, the average value of the energy intensity outside the reference, and the energy consumption per unit time during standby from the energy intensity classification time series data. Is calculated as a learning value. The learning value calculation unit 24 outputs the calculated learning values (the average value of the energy intensity within the reference, the average value of the energy intensity outside the reference, and the energy consumption per unit time during standby) to the target value calculation unit 25 To do.

For example, the learning value calculation unit 24 may calculate the average value of the energy intensity within the reference based on the formula (1) shown in FIG. Specifically, the learning value calculation unit 24 specifies the number of energy intensity classification data classified as “within reference” in the energy intensity classification time-series data. The learning value calculation unit 24 regards the specified number as the number N _{ok of} products produced by the energy intensity within the standard. Then, the learning value calculating section 24, the total value of the energy consumption shown by the energy intensity classification data classified into "the standards" is divided by the specified N _ok, the average value of the energy intensity in the reference Is calculated.

Further, the learning value calculation unit 24 may calculate an average value of non-reference energy intensity based on the formula (2) shown in FIG. Specifically, the learning value calculation unit 24 specifies the number of energy intensity classification data classified as “out of reference” in the energy intensity classification time series data. The learning value calculation unit 24 regards the specified number as the number N _{ng of} products produced with an energy basic unit outside the reference. Then, the learning value calculation unit 24 divides the total value of the energy intensity indicated by the energy intensity classification data classified as “non-standard” by the specified N _ng to obtain the average value of the non-standard energy intensity. Is calculated.

Further, the learning value calculation unit 24 may calculate the energy consumption per unit time during standby based on Expression (4) shown in FIG. Specifically, the learning value calculation unit 24 _adds the value obtained by multiplying the average value of the energy intensity within the reference by N _ok and the value obtained by multiplying the average value of the energy intensity outside the reference by N _ng. The calculated value is calculated as the total energy consumed during production (formula (4-1-1) shown in FIG. 7). Next, the learning value calculation unit 24 calculates a value obtained by summing all the energy basic units indicated by the energy basic unit classification time series data as a total consumed energy, and a value obtained by subtracting the total consumed energy during production from the total consumed energy. Is calculated as the total energy consumption during standby (formula (4-1) shown in FIG. 7). Further, the learning value calculation unit 24 calculates the total time during production by summing the non-standard and non-standard periods from the energy intensity classification time series data, and calculates the total period from the energy intensity classification time series data. The total time during the learning period is calculated. The learning value calculation unit 24 calculates the total time during standby by subtracting the total time during production from the total time during the learning period (formula (4-2) shown in FIG. 7). Then, the learning value calculation unit 24 calculates the energy consumption per unit time during standby by dividing the total energy consumption during standby by the total time during standby (equation (4) shown in FIG. 7).

The learning value calculation unit 24 may further calculate the appearance rate of non-standard energy intensity (the ratio of N _{ng to} the total number of production) as the learning value. For example, the learning value calculation unit 24 may calculate the appearance rate of non-standard energy intensity based on the equation (3) shown in FIG. Specifically, the learning value calculation unit 24 calculates the total value of N _ok and N _ng as the total production number (formula (3-1) shown in FIG. 7). Then, the learning value calculation unit 24 calculates the appearance rate of the non-standard energy intensity by dividing N _ng by the total number of production (formula (3) shown in FIG. 7). The learned value calculation unit 24 outputs the calculated appearance rate of the non-standard energy intensity to the display control unit 26.

  The learning value calculation unit 24 may calculate at least the average value of the energy intensity within the reference and the average value of the energy intensity outside the reference as the learning value.

(Target value calculation unit)
The target value calculation unit 25 receives the learning value from the learning value calculation unit 24, reads the production plan time data 31 and the target value calculation parameter 34 from the storage unit 12, and receives the received learning value and the read production plan time data 31 and From the target value calculation parameter 34, the target value of energy consumed by the production line 3 for a predetermined period (per day in this embodiment) is calculated. Specifically, the target value calculation unit 25 calculates the target total energy consumption of the production line 3, the target total energy consumption during production, the target total energy within the standard from the learning value, the production planned time data 31 and the target value calculation parameter 34. The target energy consumption, the target total energy consumption outside the standard, and the target total energy consumption during standby (outside the planned production time) are calculated as target values. The target value calculation unit 25 calculates the calculated target values (target total energy consumption of the production line 3, target total energy consumption during production, target total energy consumption within the standard, target total energy consumption outside the standard, and target total energy during standby) Energy consumption) is output to the display control unit 26.

  The target total energy consumption of the production line 3 is a target value of the total energy consumed by the production line 3 during a predetermined period. The target total energy consumption during production is a target value of the total energy consumed by the production line 3 during a predetermined period within the production plan time (during production activity). The target total energy consumption within the standard is a target value of the total energy intensity classified within the standard within a predetermined period. The non-standard target total energy consumption is a target value of the total energy intensity classified as non-standard within a predetermined period. The target total energy consumption during standby is a target value of the total energy intensity classified as standby during a predetermined period.

  Here, the target value calculation parameter 34 is a parameter necessary for calculation of the target value, and is a parameter input (determined) by the user. The target value calculation parameter 34 is, for example, the planned number of production, the target appearance rate of the non-standard energy basic unit, and the target reduction amount of energy consumption during standby (outside the planned production time).

  For example, the target value calculation unit 25 may calculate a target total energy consumption outside the reference based on the formula (6-2) shown in FIG. Specifically, the target value calculation unit 25 multiplies the planned production number by the target appearance rate of the non-standard energy basic unit to calculate the target value of the production number produced by the non-standard energy basic unit ( Formula (6-2-1) shown in FIG. Then, the target value calculation unit 25 multiplies the average value of the non-standard energy basic unit, which is the learning value, by the target value of the number of production produced by the non-standard energy basic unit, thereby obtaining the non-standard target total consumption. Energy is calculated (formula (6-2) shown in FIG. 8).

  Moreover, the target value calculation part 25 may calculate the target total consumption energy within a reference | standard based on Formula (6-1) shown in FIG. Specifically, the target value calculation unit 25 subtracts the target value of the production number that is produced in the non-standard energy unit from the planned production number, and the target of the production number that is produced in the standard energy unit. The value is calculated (formula (6-1-1) shown in FIG. 8). Then, the target value calculation unit 25 multiplies the average value of the energy basic unit within the reference, which is the learned value, by the target value of the number of production produced by the energy basic unit within the reference, to thereby calculate the target total consumption within the reference. Energy is calculated (formula (6-1) shown in FIG. 8).

  Further, the target value calculation unit 25 may calculate the target total energy consumption during production based on the equation (6) shown in FIG. Specifically, the target value calculation unit 25 calculates the total value of the target total energy consumption within the reference and the target total energy consumption outside the reference as the target total energy consumption during production.

  The target value calculation unit 25 may calculate the target total energy consumption during standby (outside the production plan time) based on the equation (7) shown in FIG. Specifically, the target value calculation unit 25 identifies the total planned time during standby that is the total time outside the production planned time from the production planned time data 31, and the consumption per unit time during standby that is the learning value. Multiply the energy by the specified total planned time during standby to calculate the target total energy consumption during standby. Note that the target value calculation unit 25 may calculate the target total energy consumption during standby in consideration of the target reduction amount of energy consumption during standby included in the target value calculation parameter 34. For example, the target value calculation unit 25 subtracts the target reduction amount of standby energy consumption from the energy consumption per unit time during standby, or the total plan during standby for the energy consumption per unit time during standby. The target total energy consumption during standby may be calculated by subtracting the target reduction amount of energy consumption during standby from the value obtained by multiplying the time.

  Further, the target value calculation unit 25 may calculate the target total energy consumption of the production line 3 based on the equation (5) shown in FIG. Specifically, the target value calculation unit 25 calculates the total value of the target total energy consumption during production and the target total energy consumption during standby as the target total energy consumption of the production line 3.

  Note that when the classification unit 23 classifies the energy intensity into two types, that is, within the reference value and outside the reference value, the target value calculation unit 25 at least includes the target value of the total energy consumption within the reference value and the total value outside the reference value. What is necessary is just to calculate the target value of energy consumption.

(Display control unit)
The display control unit 26 reads the energy intensity classification time series data 33 from the storage unit 12, receives the target value from the target value calculation unit 25, and produces the production based on the energy intensity classification time series data 33 and the target value. A management image of the energy consumption of the production line 3 indicating the actual value and the target value of the energy consumption of the line 3 is generated. The display control unit 26 outputs the generated management image to the display unit 14 and causes the display unit 14 to display the management image.

  FIG. 9 shows an example of a management image generated by the display control unit 26. In the management image shown in FIG. 9, a stacked bar graph indicating the actual energy consumption value of the production line 3 for each day and a line graph indicating the target value are shown. In this graph, the horizontal axis is the date, and the vertical axis is the energy consumption. In the vertical axis, the reference point is divided vertically, the energy consumption during production is shown above the reference point, and the energy consumption during standby is shown below the reference point. That is, energy consumption during production indicates higher energy consumption as it goes above the reference point, while standby energy consumption indicates higher energy consumption as it goes below the reference point.

  In the graph of the management image shown in FIG. 9, the actual value of total energy consumption during production on the production line 3 is shown as a stacked bar graph of the actual value of total energy consumption within the standard and the actual value of total energy consumption outside the standard. ing. Further, the target value of total energy consumption during production of the production line 3 is shown as a solid line graph, and the target value of total energy consumption within the production line 3 standard is shown as a broken line graph.

  Moreover, in the graph of the management image shown in FIG. 9, the actual value of the total energy consumption during standby of the production line 3 is shown as a bar graph extending downward from the reference point. Further, the target value of the total energy consumption during standby of the production line 3 is shown as a one-dot chain line graph.

  In the management image shown in FIG. 9, the target value determined in a two-week cycle is shown. That is, the target value calculation unit 25 calculates the target value based on the actual value (learned value) of the day two weeks ago. However, the present invention is not limited to this, and the target value calculation unit 25, such as year-on-year comparison, year-on-year comparison, previous-month comparison, previous-month comparison, previous-day comparison, etc. A value may be calculated.

  In addition, the system described in Patent Document 1 displays a mixture of energy consumed for changeover necessary for production and energy consumed during standby such as a break. For this reason, it is not known who and how much to reduce the energy consumed during the changeover or the energy consumed during standby.

  Usually, the energy consumed during production, which is the energy consumed during the production activity of the production line 3, should be managed by the manager of the production line 3. On the other hand, the energy consumption during standby, which is the energy consumption during the period when the production line 3 is not in production, should be managed by the production planner who determines the production planning time. Therefore, as in this embodiment, by displaying the actual and target values of energy consumption within the standard, energy consumption outside the standard and energy consumption in standby, and displaying them separately, how much energy is saved for who and what You can easily figure out if you should plan.

  In the management image shown in FIG. 9, the actual value and the target value of the total energy consumption of the production line 3 may be further indicated. For example, the actual value and the target value of the total energy consumption of the production line 3 may be shown as numerical values on a graph.

  The display control unit 26 generates an input image for the user to input the production plan time data 31, the energy intensity reference value 32, the target value calculation parameter 34, and the like, and causes the display unit 14 to display the input image. . The display control unit 26 adds the non-standard energy intensity calculated by the learning value calculation unit 24 to the input image for inputting the target value calculation parameter 34 (particularly, the target appearance rate of non-standard energy intensity). May be displayed. Thereby, the user refers to the appearance rate of the non-standard energy intensity calculated by the learning value calculation unit 24, which is the learning value, and the target appearance rate of the non-standard energy intensity that is appropriate for the situation at the site. Can be easily determined.

  In the present embodiment, the actual value and the target value of the energy consumption of the production line 3 are displayed on the display unit 14 included in the management device 1, but the present invention is not limited to this, and the management device 1 is external to the management device 1. May be displayed on the display device, or data indicating the actual value and the target value may be transmitted to a device different from the management device 1 via the communication unit 13. That is, the display control unit 26 determines the total energy consumption of the production line 3, the total energy consumption during the production, the total energy consumption within the standard, the total energy consumption outside the standard, and the standby (outside the production plan time) for a predetermined period. It can be said that this is an output unit that outputs the actual energy consumption value and the target value separately.

  In addition, when the classification unit 23 classifies the energy intensity into two types, that is, within the reference value and outside the reference value, the display control unit 26 at least for the predetermined period, the total energy consumption within the reference value and the total outside the reference value. What is necessary is just to distinguish and output (display on the display part 14) the actual value of consumption energy, respectively.

  Further, the display control unit 26 may display at least one of the target total energy consumption during the production line 3, during production, within the standard, outside the standard, and in standby as the target value shown in the management image.

(Input analysis unit)
The input analysis unit 27 receives an operation signal from the input unit 15, analyzes the received operation signal, and executes a process according to a user operation. For example, the input analysis unit 27 uses the production plan time, energy intensity standard value, target value calculation parameters (planned production number, target non-standard target appearance rate, target reduction amount of standby energy consumption, etc.) input by the user. Based on this, the production plan time data 31, the energy intensity reference value 32, and the target value calculation parameter 34 are generated, and the generated data is stored in the storage unit 12.

(Memory part)
The storage unit 12 stores programs, data, and the like that the control unit 11 refers to. For example, the production plan time data 31, the energy intensity standard value 32, the energy intensity classification time series data 33, and the target value Calculation parameters 34 and the like are stored.

  FIG. 10 shows an example of the production planned time data 31. The production planned time data 31 shown in FIG. 10 includes a production start date and time (“work start” shown in FIG. 10) and a production end date and time (“work end” shown in FIG. 10), and from the production start date to the production end date and time. The period is the production planning time.

  FIG. 11 shows an example of planned production quantity data included in the target value calculation parameter 34. The planned production quantity data shown in FIG. 11 is data in which the planned production date is associated with the planned production quantity.

[Management device processing]
A processing flow of the management apparatus 1 will be described with reference to FIG. FIG. 12 is a flowchart illustrating an example of a flow of processing executed by the management apparatus 1.

  As shown in FIG. 12, first, the data acquisition unit 21 acquires consumption energy data from the energy measurement sensor 5 and acquires a production trigger from the object passage detection sensor 6 via the communication unit 13 (S1: data acquisition). Step). The data acquisition unit 21 generates energy consumption time series data and production date data from the acquired data (S2).

  Next, the basic unit calculation part 22 performs an energy basic unit calculation process, and calculates an energy basic unit (S3: basic unit calculation step). Subsequently, the classification unit 23 executes an energy intensity classification process, and generates energy intensity classification time series data in which the energy intensity is classified (S4: classification step). Details of these energy intensity calculation processing and energy intensity classification processing will be described later.

  The learning value calculation unit 24 receives the energy intensity classification time series data from the classification unit 23, and calculates a learning value necessary for calculating the target value from the received energy intensity classification time series data (S5). Then, the target value calculation unit 25 receives the learning value from the learning value calculation unit 24, reads the production plan time data 31 and the target value calculation parameter 34 from the storage unit 12, and receives the received learning value and the read production plan time data. 31 and the target value calculation parameter 34, the target value of the production line 3 for a predetermined period is calculated (S6).

  Finally, the display control unit 26 reads out the energy intensity classification time series data 33 from the storage unit 12 and receives the target value from the target value calculation unit 25 to obtain the actual value and the target value of the energy consumption of the production line 3. The management image of the energy consumption of the production line 3 shown is generated. Then, the display control unit 26 displays the generated management image on the display unit 14 (S7: output step).

[Energy intensity calculation processing]
Based on FIG. 13, the flow of energy intensity calculation processing executed by the intensity calculation unit 22 will be described. FIG. 13 is a flowchart illustrating an example of a flow of energy intensity calculation processing executed by the intensity calculation unit 22. In the example shown in FIG. 13, the basic unit calculation unit 22 receives the energy consumption time-series data shown in FIG. 3 and the production date / time data shown in FIG. 4, and advances the process from the first date / time indicated by the production date / time data. Assumed to be performed.

As shown in FIG. 13, the _basic unit calculation unit 22 sets the set integrated energy consumption _{Es_old} to “0”, sets the set time t _old to the first date and time indicated by the production date and time that is the current date and time, Data initialization is performed (S11). Then, the basic unit calculation unit 22 advances the time and waits for a production trigger (S12).

When the date and time when the next production trigger is detected (YES in S12), the _basic unit calculation unit 22 subtracts the set integrated consumed energy amount E _{s_old} from the current integrated consumed energy amount E _s to obtain the energy _basic unit E _g . Calculate (S13).

The basic unit calculation unit 22 generates and stores energy basic unit data by associating the calculated energy basic unit E _g with the set date and time t _old which is the start date and time (S14). Then, the basic unit calculation unit 22 determines whether or not the current date and time _tnow is the final date and time indicated by the production date and time data (S15). If last time not (NO at S15), intensity calculator 22 sets the accumulated energy consumption _{E S_old} the current cumulative energy consumption _{E s,} and sets the setting date _{t old} to the current date and time _{t now} The setting data is updated (S16). Then, the time is advanced until the next production trigger detection date and time (S12), and the same processing is repeated.

The basic unit calculation unit 22 repeats the above process, and when the current date and time _tnow is the final date and time indicated by the production date and time data (YES in S15), the basic unit calculation process is terminated.

[Energy intensity classification processing]
Based on FIG. 14, the flow of the energy intensity classification process executed by the classification unit 23 will be described. FIG. 14 is a flowchart illustrating an example of the flow of energy intensity classification processing executed by the classification unit 23.

  As shown in FIG. 14, the classification unit 23 first acquires energy basic unit time-series data from the basic unit calculation unit 22 (S21). The classification unit 23 selects one energy intensity data from the acquired energy intensity time series data (S22).

  Next, the classification unit 23 determines whether or not the basic unit start date and time indicated by the selected energy basic unit data is within the production planned time indicated by the production planned time data 31 (S23). When the basic unit start date and time is not within the production plan time (NO in S23), the classification unit 23 classifies the selected energy basic unit data as “standby” and determines that the flag is “−1” (S24).

  On the other hand, when the basic unit start date and time is within the production planned time (YES in S23), the classification unit 23 further determines whether or not the energy basic unit indicated by the selected energy basic unit data is equal to or less than the energy basic unit reference value 32. Is determined (S25). If the energy intensity is equal to or less than the energy intensity reference value 32 (YES in S25), the classification unit 23 classifies the selected energy intensity data as “within reference” and determines that the flag is “1” (S26). . On the other hand, if the energy intensity is larger than the energy intensity reference value 32 (NO in S25), the classification unit 23 classifies the selected energy intensity data as “out of reference” and determines that the flag is “2” (S27). ).

  After performing the determination, the classification unit 23 stores the determination result (flag) in association with the selected energy intensity data (S28). And the classification | category part 23 determines whether all the energy intensity | strength data contained in the acquired energy intensity | strength time series data were classified (S29).

  When there is unclassified energy intensity data (NO in S29), the classification unit 23 selects one unclassified energy intensity data from the acquired energy intensity time series data (S30), and S23. The subsequent processing is executed. On the other hand, when all the energy intensity data is classified (YES in S29), the classification unit 23 ends the energy intensity classification process.

<Embodiment 2>
Another embodiment (second embodiment) of the present invention will be described below with reference to FIGS. 15 to 18. For convenience of explanation, members having the same functions as those shown in the first embodiment are given the same reference numerals, and explanation thereof is omitted.

  In the present embodiment, unlike the first embodiment, the energy intensity is classified into four types (standby, startup, within standard, and out of standard) based on a predetermined standard. Specifically, in the first embodiment, all energy intensity outside the production plan time is classified as “standby”, but in the second embodiment, the energy intensity outside the production schedule time is classified as “standby” or Classify as “Starting Up”. In order for the production facility 2 to perform production activities, it is necessary to start up the production facility 2. However, during the startup of the production facility 2, energy consumption increases as compared to standby. Therefore, by classifying the energy consumption of the production facility 2 (production line 3) outside the production plan time as “standby” or “starting up”, it is possible to grasp the energy consumption outside the production plan time in more detail. it can. Hereinafter, in the second embodiment, differences from the first embodiment will be mainly described.

[Configuration of management device]
Based on FIG. 15, the structure of the management apparatus 1a which concerns on this embodiment is demonstrated. FIG. 15 is a block diagram illustrating an example of a main configuration of the management device 1a according to the second embodiment. As illustrated in FIG. 15, the management device 1 a includes a control unit 11 a instead of the control unit 11 and a storage unit 12 a instead of the storage unit 12 compared to the management device 1 according to the first embodiment. .

  In the present embodiment, the control unit 11a is different from the control unit 11 according to the first embodiment in place of the classification unit 23, the learning value calculation unit 24, the target value calculation unit 25, and the display control unit 26, the classification unit 23a, The learning value calculation unit 24a, the target value calculation unit 25a, and the display control unit 26a are provided.

  In addition, the storage unit 12a stores energy basic unit classification time series data 33a instead of the energy basic unit classification time series data 33 as compared with the storage unit 12 according to the first embodiment, and further, the facility operation planned time Data 35 is stored.

(Classification part)
The classification unit 23a receives the energy intensity unit time series data from the intensity unit calculation unit 22, and each energy intensity data included in the energy intensity unit time series data is determined based on four types (standby, starting, Classified as non-standard).

  Specifically, the classification unit 23a includes the facility operation plan time data 35 indicating the production plan time data 31, the energy intensity standard value 32, and the facility operation plan time that is the (scheduled) time during which the production line 3 operates. Are read from the storage unit 12a. The classification unit 23 a determines whether the basic unit start date and time indicated by the energy basic unit data is within the equipment operation planned time indicated by the equipment operation planned time data 35. If the basic unit start date / time is not within the facility operation planned time, the classification unit 23a classifies the energy basic unit data as “standby”. On the other hand, when the basic unit start date / time is within the facility operation planned time, the classification unit 23a further determines whether the basic unit start date / time indicated by the energy basic unit data is within the production planned time indicated by the production planned time data 31. Determine. When the basic unit start date / time is within the equipment operation plan time and not within the production plan time, the classification unit 23a further includes the start date / time of the equipment operation plan time indicated by the equipment operation plan time data 35. It is determined whether the production planned time indicated by the production planned time data 31 is included in the period from the basic unit start date indicated by the energy basic unit data. The classification unit 23a determines that the basic unit start date and time is within the equipment operation plan time and not within the production plan time, and the production plan time is within the period from the start date and time (start time) of the equipment operation plan time to the basic unit start date and time. Is not included, the energy intensity data is classified as “starting up”. On the other hand, the classification unit 23a performs the production in the period from the start date / time (start time) of the equipment operation plan time to the basic unit start date / time when the basic unit start date / time is within the equipment operation plan time and not within the production plan time. When the planned time is included, the energy intensity data is classified as “waiting”.

  When the basic unit start date and time is within the facility operation planned time and the production planned time, the classification unit 23a further determines whether the energy basic unit indicated by the energy basic unit data is equal to or less than the energy basic unit reference value 32. Determine. When the basic unit start date / time is within the facility operation planned time and within the production planned time, and the energy basic unit is less than or equal to the energy basic unit reference value 32, the classification unit 23a sets the energy basic unit data to “reference” Classified as “inside”. In addition, when the basic unit start date / time is within the facility operation planned time and the production planned time, and the energy basic unit is larger than the energy basic unit reference value 32, the classification unit 23a sets the energy basic unit data to “ Classify as “Non-standard”.

  The classification unit 23a generates energy basic unit classification data in which a flag indicating the type of classified energy basic unit data is added to the energy basic unit data, and the energy basic unit classification in which the generated energy basic unit classification data is arranged in time series. Generate time series data. For example, the classification unit 23a adds “−1” as a flag to the energy intensity data classified as “standby” and adds “−2” as a flag to the energy intensity data classified as “running”. Then, “1” is added as a flag to the energy intensity data classified as “within reference”, and “2” is added as a flag to the energy intensity data classified as “out of reference”. The classification unit 23a outputs the generated energy intensity classification time series data to the learning value calculation unit 24a. Moreover, the classification unit 23a stores the generated energy intensity classification time series data in the storage unit 12a. As described above, the energy intensity classification time series data generated by the classification unit 23a is data obtained by classifying energy intensity data into four types.

(Learning value calculator)
The learning value calculation unit 24a receives energy basic unit classification time series data from the classification unit 23a, and calculates a learning value necessary for calculating a target value from the received energy basic unit classification time series data. Specifically, the learning value calculation unit 24a calculates, based on the energy intensity classification time series data, the average value of the energy intensity within the reference, the average value of the energy intensity outside the reference, and the energy consumption per unit time during standby. The energy consumption per unit time during startup is calculated as a learning value. The learning value calculation unit 24a calculates the calculated learning values (the average value of the energy intensity within the reference, the average value of the energy intensity outside the reference, the energy consumption per unit time during standby, and the unit time per unit time during startup. Energy consumption) is output to the target value calculator 25a.

  For example, the learning value calculation unit 24a may calculate the average value of the energy intensity within the reference based on the formula (1) shown in FIG. Further, the learning value calculation unit 24a may calculate the average value of the non-reference energy intensity based on the equation (2) shown in FIG. 16 as in the first embodiment.

  Further, the learning value calculation unit 24a may calculate the energy consumption per unit time during startup based on the equation (8) shown in FIG. Specifically, the learning value calculation unit 24a calculates the total energy consumption during startup by adding up the energy basic units during startup from the energy basic unit classification time series data, and totals the periods during startup. And calculate the total time during startup. Then, the learning value calculation unit 24a calculates the energy consumption per unit time during startup by dividing the total energy consumption during startup by the total time during startup.

Further, the learning value calculation unit 24a may calculate the energy consumption per unit time during standby based on Expression (4) shown in FIG. Specifically, the learning value calculating unit 24a, a total of a value obtained by multiplying the N _ok to the average value of the energy intensity in the reference, a value obtained by multiplying the N _ng to the average value of the non-standard energy unit, the The calculated value is calculated as total energy consumption during production (formula (4-1-1) shown in FIG. 16). Next, the learning value calculation unit 24a calculates a value obtained by summing all the energy basic units indicated by the energy basic unit classification time-series data as the total consumed energy, and the total consumed energy being produced and starting up from the total consumed energy A value obtained by subtracting the total energy consumption is calculated as standby total energy consumption (equation (4-3) shown in FIG. 16). In addition, the learning value calculation unit 24a calculates the total time during production by adding the non-standard and non-standard periods from the energy intensity classification time series data, and calculates the total period from the energy intensity classification time series data. The total time during the learning period is calculated. The learning value calculation unit 24a calculates the total time during standby by subtracting the total time during production and the total time during startup from the total time during the learning period (equation (4-4) shown in FIG. 16). Then, the learning value calculation unit 24a calculates the energy consumption per unit time during standby by dividing the total energy consumption during standby by the total time during standby (equation (4) shown in FIG. 16).

  Note that the learning value calculation unit 24a may further calculate the appearance rate of non-standard energy intensity as a learning value. For example, the learning value calculation unit 24a may calculate a non-reference appearance rate based on Expression (3) shown in FIG. The learned value calculation unit 24a outputs the calculated appearance rate of the non-standard energy intensity to the display control unit 26a.

(Target value calculation unit)
The target value calculation unit 25a receives the learning value from the learning value calculation unit 24a, and also reads the production plan time data 31, the target value calculation parameter 34, and the equipment operation plan time data 35 from the storage unit 12a. The target value of the production line 3 for a predetermined period (per day in this embodiment) is calculated from the production planned time data 31, the target value calculation parameter 34, and the equipment operation planned time data 35. Specifically, the target value calculation unit 25a determines the target total energy consumption of the production line 3 and the target total consumption during production from the learned value, the production planned time data 31, the target value calculation parameter 34, and the equipment operation planned time data 35. Energy, target total energy consumption within the standard, target total energy consumption outside the standard, target total energy consumption during standby, and target total energy consumption during startup are calculated as target values. The target value calculation unit 25a calculates the calculated target value (target total energy consumption of the production line 3, target total energy consumption during production, target total energy consumption within the standard, target total energy consumption outside the standard, target total consumption during standby) Energy consumption and target total energy consumption during startup) are output to the display control unit 26a.

  For example, similarly to the first embodiment, the target value calculation unit 25a calculates the target total energy consumption during production based on the equations (6), (6-1), and (6-2) shown in FIG. Target total energy consumption and target non-standard target energy consumption may be calculated.

  Further, the target value calculation unit 25a may calculate the target total energy consumption during startup based on the equation (9) shown in FIG. Specifically, the target value calculation unit 25a determines from the production plan time data 31 and the equipment operation plan time data 35 to the start time of the first production plan time in the day from the start time of the equipment operation plan time in the day. The total planned time during startup, which is the period, is specified, and the target total during startup is calculated by multiplying the energy consumption per unit time during startup, which is the learning value, by the specified total planned time during startup. Calculate energy consumption.

  Moreover, the target value calculation unit 25a may calculate the target total energy consumption during standby based on the equation (7) shown in FIG. Specifically, the target value calculation unit 25a calculates the sum of the waiting time obtained by dividing the total planned time during startup from the total time outside the production planned time from the production planned time data 31 and the facility operation planned time data 35. The target total energy consumption during standby is calculated by specifying the planned time, and multiplying the energy consumption per unit time during standby as the learning value by the specified total planned time during standby. Note that, similarly to the first embodiment, the target value calculation unit 25 may calculate the standby target total energy consumption in consideration of the target reduction amount of standby energy consumption included in the target value calculation parameter 34. Good.

  Further, the target value calculation unit 25a may calculate the target total energy consumption of the production line 3 based on the equation (10) shown in FIG. Specifically, the target value calculation unit 25a uses the total value of the target total energy consumption during production, the target total energy consumption during standby, and the target total energy consumption during startup as the target total energy consumption of the production line 3. calculate.

(Display control unit)
The display control unit 26a reads the energy basic unit classification time series data 33a classified into four types from the storage unit 12a, receives the target value from the target value calculation unit 25, and receives the energy basic unit classification time series data 33a and the target Based on the value, a management image of the energy consumption of the production line 3 is generated that shows the actual value and the target value of the energy consumption of the production line 3. The display control unit 26a outputs the generated management image to the display unit 14 and causes the display unit 14 to display the management image.

  For example, in the management image, the display control unit 26a may display the actual value of the total energy consumption being started up on the actual value of the total energy consumption during standby. In addition, the display control unit 26a may display the target value of the total energy consumption during startup in the management image by accumulating the target value of the total energy consumption during standby.

[Energy intensity classification processing]
Based on FIG. 18, the flow of the energy intensity classification process executed by the classification unit 23a according to the present embodiment will be described. FIG. 18 is a flowchart illustrating an example of a flow of energy intensity classification processing executed by the classification unit 23a according to the second embodiment.

  As shown in FIG. 18, the classification unit 23a first acquires energy basic unit time-series data from the basic unit calculation unit 22 (S41). The classification unit 23a selects one energy intensity data from the acquired energy intensity time series data (S42).

  Next, the classification unit 23a determines whether or not the basic unit start date and time indicated by the selected energy basic unit data is within the equipment operation planned time indicated by the equipment operation planned time data 35 (S43). When the basic unit start date and time is not within the facility operation planned time (NO in S43), the classification unit 23a classifies the selected energy basic unit data as “standby” and determines that the flag is “−1” (S44). .

  If the basic unit start date / time is within the facility operation planned time (YES in S43), the classification unit 23a then proceeds to the production planned time indicated by the production planned time data 31 indicated by the basic unit start date / time indicated by the selected energy basic unit data. It is determined whether it is within (S45). If the basic unit start date / time is not within the production planned time (NO in S45), the classification unit 23a further determines that the production planned time (start date / time) is within the period from the start date / time of the facility operation planned time to the basic unit start date / time. It is determined whether or not it is included (S46). When the production plan time is not included in the period from the start date / time of the facility operation planned time to the basic unit start date / time (YES in S46), the classification unit 23a classifies the selected energy basic unit data as “starting up”. The flag “−2” is determined (S47). On the other hand, when the production planned time is included in the period from the start date / time of the facility operation planned time to the basic unit start date / time (NO in S46), the classification unit 23a classifies the selected energy basic unit data as “standby”. The flag is determined as “−1” (S44).

  On the other hand, when the basic unit start date / time is within the production plan time (YES in S45), the classification unit 23a further determines whether the energy basic unit indicated by the selected energy basic unit data is equal to or less than the energy basic unit reference value 32. Is determined (S48). If the energy intensity is less than or equal to the energy intensity standard value 32 (YES in S48), the classification unit 23a classifies the selected energy intensity data into “within standard” and determines that the flag is “1” (S49). . On the other hand, if the energy intensity is larger than the energy intensity reference value 32 (NO in S48), the classification unit 23a classifies the selected energy intensity data as “out of reference” and determines that the flag is “2” (S50). ).

  After performing the determination, the classification unit 23a associates and stores the determination result (flag) to the selected energy intensity data (S51). And the classification | category part 23a determines whether all the energy intensity | strength data contained in the acquired energy intensity | strength time series data were classified (S52).

  When there is unclassified energy intensity data (NO in S52), the classification unit 23a selects one unclassified energy intensity data from the acquired energy intensity time series data (S53), and S43. The subsequent processing is executed. On the other hand, when all the energy intensity data are classified (YES in S52), the classification unit 23a ends the energy intensity classification process.

<Embodiment 3>
Another embodiment (Embodiment 3) of the present invention will be described below with reference to FIGS. 19 and 20. For convenience of explanation, members having the same functions as those shown in the first embodiment are given the same reference numerals, and explanation thereof is omitted.

  In the first embodiment, if the basic unit start date / time is outside the production plan time, all are classified as “standby”, but actually, the production activity of the production line 3 is not performed as scheduled (for example, production activity In some cases, the product is supplied from the production line 3 even outside the planned production time. In the present embodiment, the energy consumption of the production activity of the production line 3 outside the production schedule time is classified as “in production”. Thereby, the energy consumption of the production line 3 can be classified with high accuracy according to the actual situation. Hereinafter, in the third embodiment, differences from the first embodiment will be mainly described.

[Configuration of management device]
Based on FIG. 19, the structure of the management apparatus 1b which concerns on this embodiment is demonstrated. FIG. 19 is a block diagram illustrating an example of a main configuration of the management device 1b according to the third embodiment. As illustrated in FIG. 19, the management device 1 b includes a control unit 11 b instead of the control unit 11 as compared with the management device 1 according to the first embodiment.

  In the present embodiment, the control unit 11b is configured to include a classification unit 23b instead of the classification unit 23, as compared with the control unit 11 according to the first embodiment.

(Classification part)
The classification unit 23b receives the energy intensity unit time-series data from the intensity unit calculation unit 22, and has three types of energy intensity data included in the energy intensity unit time-series data based on a predetermined standard (standby, in-standard, non-standard) ).

  Specifically, the classification unit 23 b reads the production plan time data 31 and the energy intensity standard value 32 from the storage unit 12. The classification unit 23 b determines whether the basic unit start date and time indicated by the energy basic unit data is within the production planned time indicated by the production planned time data 31. When the basic unit start date and time is within the production plan time, the classification unit 23b determines whether the energy basic unit is equal to or less than the energy basic unit reference value 32 as in the first embodiment, and “within reference”. Or classify as “out of standard”.

  On the other hand, when the basic unit start date and time is not within the production planned time, the classification unit 23b further determines whether or not the basic unit end date and time that is the next basic unit start date and time after the basic unit start date and time is within the production planned time. Determine. If the basic unit start date / time is not within the production planned time and the basic unit end date / time is within the production planned time, the classification unit 23b classifies the energy basic unit data as “standby”.

  When the basic unit end date / time is not within the production planned time, the classification unit 23b further determines whether the energy basic unit indicated by the energy basic unit data is equal to or less than the energy basic unit reference value 32. When the basic unit start date / time is not within the production planned time, the basic unit end date / time is not within the production planned time, and the energy basic unit is less than or equal to the energy basic unit reference value 32, the classification unit 23b Classify basic unit data as “within standard”.

  When the basic unit start date / time is not within the production planned time, the basic unit end date / time is not within the production planned time, and the energy basic unit is larger than the energy basic unit reference value 32, the classification unit 23b Divide the data into production and standby. Specifically, the classification unit 23b associates the energy intensity of the value of the energy intensity standard value 32 with the energy intensity start date and time indicated by the original energy intensity data, thereby obtaining the energy intensity data after division. This energy intensity data is classified as “within standard”. Further, the classification unit 23b associates the basic unit start date and time indicated by the original energy basic unit data with the value obtained by subtracting the energy basic unit reference value 32 from the energy basic unit indicated by the original energy basic unit data, The other energy intensity data is classified as “standby”.

  The classification unit 23b generates energy basic unit classification data in which a flag indicating the type of classified energy basic unit data is added to the energy basic unit data, and the energy basic unit classification in which the generated energy basic unit classification data is arranged in time series. Generate time series data. The classification unit 23 b outputs the generated energy intensity classification time series data to the learning value calculation unit 24. Further, the classification unit 23 stores the generated energy intensity classification time series data in the storage unit 12.

  In other words, the basic unit end date and time is the date and time when the measurement of the energy consumption indicated by the energy basic unit has ended.

[Energy intensity classification processing]
Based on FIG. 20, the flow of the energy intensity classification processing executed by the classification unit 23b according to the present embodiment will be described. FIG. 20 is a flowchart illustrating an example of a flow of energy intensity classification processing executed by the classification unit 23b according to the third embodiment.

  As shown in FIG. 20, the classification unit 23b first acquires energy basic unit time-series data from the basic unit calculation unit 22 (S61). The classification unit 23b selects one energy intensity data from the acquired energy intensity time series data (S62).

  Next, the classification unit 23b determines whether or not the basic unit start date and time indicated by the selected energy basic unit data is within the production planned time indicated by the production planned time data 31 (S63). When the basic unit start date and time is within the production planned time (YES in S63), the classification unit 23b further determines whether or not the energy basic unit indicated by the selected energy basic unit data is equal to or less than the energy basic unit reference value 32. Determine (S64). If the energy intensity is less than or equal to the energy intensity standard value 32 (YES in S64), the classification unit 23b classifies the selected energy intensity data as “within standard” and determines that the flag is “1” (S65). . On the other hand, if the energy intensity is larger than the energy intensity reference value 32 (NO in S64), the classification unit 23b classifies the selected energy intensity data as “out of reference” and determines that the flag is “2” (S66). ).

  On the other hand, if the basic unit start date / time is not within the planned production time in S63 (NO in S63), the classification unit 23b continues to check whether the basic unit end date / time of the selected energy basic unit data is within the planned production time. It is determined whether or not (S67). If the basic unit end date / time is within the production plan time (YES in S67), the classification unit 23b classifies the selected energy basic unit data as “standby” and determines that the flag is “−1” (S68).

  On the other hand, if the basic unit end date / time is not within the planned production time in S67 (NO in S67), the classification unit 23b further determines that the energy basic unit indicated by the selected energy basic unit data is less than or equal to the energy basic unit reference value 32. It is determined whether or not there is (S69). If the energy intensity is less than or equal to the energy intensity standard value 32 (YES in S69), the classification unit 23b classifies the selected energy intensity data as “within standard” and determines that the flag is “1” (S70). .

  On the other hand, if the energy intensity is larger than the energy intensity reference value 32 in S69 (NO in S69), the classification unit 23b divides the selected energy intensity data into production and standby (S71). The classification unit 23b classifies one of the divided energy intensity data whose energy intensity is the energy intensity reference value 32 as “within reference” and determines that the flag is “1”. Further, the classification unit 23b classifies the other energy basic unit data after the division into “waiting” and determines that the flag is “−1” (S72).

  After performing the determination, the classification unit 23b associates and stores the determination result (flag) to the selected energy intensity data (S73). And the classification | category part 23b determines whether all the energy intensity | strength data contained in the acquired energy intensity | strength time series data were classified (S74).

  If there is unclassified energy intensity data (NO in S74), the classification unit 23b selects one unclassified energy intensity data from the acquired energy intensity time series data (S75), and S63. The subsequent processing is executed. On the other hand, when all the energy intensity data are classified (YES in S74), the classification unit 23b ends the energy intensity classification process.

  Note that the configuration of the present embodiment is applicable not only to the first embodiment but also to the configuration of the second embodiment.

<Embodiment 4>
The following will describe another embodiment (Embodiment 4) of the present invention with reference to FIGS. For convenience of explanation, members having the same functions as those shown in the first embodiment are given the same reference numerals, and explanation thereof is omitted.

  In the first embodiment, if the basic unit start date and time is within the production plan time, all are classified as “in production”, but actually, the production activity of the production line 3 is not performed as scheduled (for example, the production facility 2). In some cases, the production line 3 is not in production even though it is within the planned production time. In the present embodiment, energy consumption during a period in which the production line 3 is not performing a production activity within the production plan time is classified as “standby”. Thereby, the energy consumption of the production line 3 can be classified with high accuracy according to the actual situation. In the following, in the fourth embodiment, differences from the first embodiment will be mainly described.

[Configuration of management device]
Based on FIG. 21, the structure of the management apparatus 1c which concerns on this embodiment is demonstrated. FIG. 21 is a block diagram illustrating an example of a main configuration of the management apparatus 1c according to the fourth embodiment. As illustrated in FIG. 21, the management device 1 c includes a control unit 11 c instead of the control unit 11 and a storage unit 12 c instead of the storage unit 12 compared to the management device 1 according to the first embodiment. .

  In the present embodiment, the control unit 11c is configured to include a classification unit 23c instead of the classification unit 23, as compared with the control unit 11 according to the first embodiment. Further, the storage unit 12c further stores a production determination threshold 36 as compared with the storage unit 12 according to the first embodiment.

(Classification part)
The classification unit 23c receives the energy intensity unit time-series data from the intensity unit calculation unit 22, and three types of energy intensity data included in the energy intensity unit time-series data based on a predetermined standard (standby, within standard, outside standard) ).

  Specifically, the classification unit 23c sets the production plan time data 31, the energy intensity standard value 32, and the production determination threshold value 36 for determining whether the energy intensity data corresponds to “under production”. Read from the storage unit 12c. The classification unit 23 c determines whether the basic unit start date and time indicated by the energy basic unit data is within the production planned time indicated by the production planned time data 31. When the basic unit start date / time is not within the production plan time, the classifying unit 23c classifies the energy basic unit data as “standby”. On the other hand, when the basic unit start date / time is within the production plan time, the classification unit 23c further determines whether the production period from the basic unit start date / time to the basic unit end date / time is equal to or less than the production determination threshold 36. The classification unit 23c classifies the energy basic unit data as “waiting” when the basic unit start date and time is within the production plan time but the production period is larger than the production determination threshold 36.

  On the other hand, when the production period is equal to or less than the production determination threshold 36, the classification unit 23c further determines whether the energy intensity indicated by the energy intensity data is equal to or less than the energy intensity reference value 32. If the basic unit start date and time is within the production plan time, the production period is the production determination threshold 36 or less, and the energy basic unit is the energy basic unit reference value 32 or less, the classification unit 23c Classify unit data as “within standard”. Further, the classification unit 23c, when the basic unit start date and time is within the production plan time, the production period is equal to or less than the production determination threshold 36, and the energy basic unit is larger than the energy basic unit reference value 32, the energy Classify basic unit data as “out of standard”.

  The classification unit 23c generates energy basic unit classification data in which a flag indicating the type of the classified energy basic unit data is added to the energy basic unit data, and the energy basic unit classification in which the generated energy basic unit classification data is arranged in time series. Generate time series data. The classification unit 23 c outputs the generated energy intensity classification time series data to the learning value calculation unit 24. Further, the classification unit 23c stores the generated energy intensity classification time series data in the storage unit 12c.

  The classification unit 23c determines whether the energy intensity indicated by the energy intensity data is equal to or less than the production determination threshold 36, instead of determining whether the production period is equal to or less than the production determination threshold 36. Also good. In this case, the classification unit 23c classifies the energy basic unit data as “standby” when the basic unit start date and time is within the production plan time but the energy basic unit is larger than the production determination threshold 36. Further, the classification unit 23c, when the basic unit start date and time is within the production plan time, the energy basic unit is the production determination threshold 36 or less, and the energy basic unit is the energy basic unit reference value 32 or less, The energy intensity data is classified as “within standard”. Further, the classification unit 23c, when the basic unit start date and time is within the production plan time, the basic unit of energy is the production determination threshold 36 or less, and the basic unit of energy is larger than the basic unit of energy reference value 32, Classify energy intensity data as “out of standard”.

  In addition to determining whether the production period is equal to or less than the production determination threshold 36, the classification unit 23c determines whether the energy intensity indicated by the energy intensity data is equal to or less than the production determination threshold 36. Also good. In this case, the production determination threshold 36 includes two types of thresholds: a production determination time threshold for comparison with the production period, and a production determination basic unit threshold for comparison with the energy basic unit. In this case, the classification unit 23c, when the basic unit start date and time is within the production plan time but the production period is larger than the production determination time threshold or the energy basic unit is larger than the production determination basic unit threshold, Classify data as "waiting". The classification unit 23c also determines that the basic unit start date and time is within the production plan time, the production period is less than or equal to the production determination time threshold, the energy basic unit is less than or equal to the production determination basic unit threshold, and energy When the basic unit is less than or equal to the energy basic unit reference value 32, the energy basic unit data is classified as “within standard”. The classification unit 23c also determines that the basic unit start date and time is within the production plan time, the production period is less than or equal to the production determination time threshold, the energy basic unit is less than or equal to the production determination basic unit threshold, and energy When the basic unit is larger than the energy basic unit reference value 32, the energy basic unit data is classified as “non-standard”.

[Energy intensity classification processing]
Based on FIG. 22, the flow of the energy intensity classification processing executed by the classification unit 23c according to the present embodiment will be described. FIG. 22 is a flowchart illustrating an example of a flow of energy intensity classification processing executed by the classification unit 23c according to the fourth embodiment.

  As shown in FIG. 22, the classification unit 23c first acquires energy basic unit time-series data from the basic unit calculation unit 22 (S81). The classification unit 23c selects one energy intensity data from the acquired energy intensity time series data (S82).

  Next, the classification unit 23c determines whether the basic unit start date and time indicated by the selected energy basic unit data is within the production planned time indicated by the production planned time data 31 (S83). When the basic unit start date and time is not within the production plan time (NO in S83), the classification unit 23c classifies the selected energy basic unit data as “standby” and determines that the flag is “−1” (S84). On the other hand, when the basic unit start date / time is within the production plan time (YES in S23), the classification unit 23 further determines whether the production period from the basic unit start date / time to the basic unit end date / time is equal to or less than the production determination threshold 36. Is determined (S85). If the production period is greater than the production determination threshold 36 (NO in S85), the classification unit 23c classifies the selected energy intensity data as “standby” and determines that the flag is “−1” (S84).

  On the other hand, when the production period is equal to or less than the production determination threshold 36 (YES in S85), the classification unit 23c further determines whether the energy intensity indicated by the selected energy intensity data is equal to or less than the energy intensity reference value 32. Is determined (S86). If the energy intensity is equal to or less than the energy intensity standard value 32 (YES in S86), the classification unit 23c classifies the selected energy intensity data as “within standard” and determines that the flag is “1” (S87). . On the other hand, if the energy intensity is larger than the energy intensity reference value 32 (NO in S86), the classification unit 23c classifies the selected energy intensity data as “out of reference” and determines that the flag is “2” (S88). ).

  After performing the determination, the classification unit 23c associates and stores the determination result (flag) to the selected energy intensity data (S89). Then, the classification unit 23c determines whether or not all the energy intensity data included in the acquired energy intensity time series data has been classified (S90).

  When there is unclassified energy intensity data (NO in S90), the classifying unit 23c selects one unclassified energy intensity data from the acquired energy intensity time series data (S91), and S83. The subsequent processing is executed. On the other hand, when all the energy intensity data is classified (YES in S90), the classification unit 23c ends the energy intensity classification process.

  Note that the configuration of this embodiment is applicable not only to the first embodiment but also to the configurations of the second and third embodiments.

<Embodiment 5>
Another embodiment (Embodiment 5) of the present invention will be described below with reference to FIG. For convenience of explanation, members having the same functions as those shown in the first embodiment are given the same reference numerals, and explanation thereof is omitted.

  In the present embodiment, an external device different from the management device calculates the energy intensity, and the management device receives the energy intensity from this external device. Hereinafter, in the fifth embodiment, differences from the first embodiment will be mainly described.

[Configuration of management system and devices included in system]
As shown in FIG. 23, the management system 9d according to the present embodiment includes a management device 1d and a detection device 7. In the present embodiment, the detection device 7 includes an energy measurement sensor (measurement unit) 5 and an object passage detection sensor (detection unit) 6.

(Detection device)
As shown in FIG. 23, the detection device 7 includes a control unit 71 and a communication unit 73 in addition to the sensors described above. The control unit 71 includes a data acquisition unit 74 and a basic unit calculation unit 75 as functional blocks. The data acquisition unit 74 and the basic unit calculation unit 75 have the same functions as the data acquisition unit 21 and the basic unit calculation unit 22 included in the control unit 11 of the management apparatus 1 according to the first embodiment, respectively. That is, in this embodiment, the energy intensity is calculated based on the data acquired by the detection device 7 from the sensor, and energy intensity time series data is generated. The basic unit calculation unit 75 transmits the generated energy basic unit time-series data to the management device 1d via the communication unit 73.

  In the present embodiment, the detection device 7 includes the energy measurement sensor 5 and the object passage detection sensor 6. However, the detection device 7 is not limited thereto, and the detection device 7, the energy measurement sensor 5, and the object passage detection sensor 6 May be a separate body.

(Management device)
As illustrated in FIG. 23, the management device 1d includes a control unit 11d instead of the control unit 11 as compared with the management device 1 according to the first embodiment.

  In the present embodiment, the control unit 11d does not include the basic unit calculation unit 22, but includes a data acquisition unit 21d instead of the data acquisition unit 21, as compared with the control unit 11 according to the first embodiment. .

  The data acquisition unit 21 d acquires the energy intensity unit time series data generated by the detection device 7 from the detection device 7 via the communication unit 13. The data acquisition unit 21d outputs the acquired energy intensity unit time-series data to the classification unit 23.

<Example of implementation by software>
The control blocks (especially the control units 11, 11a, 11b, and 11c) of the management devices 1, 1a, 1b, and 1c may be realized by a logic circuit (hardware) formed in an integrated circuit (IC chip) or the like. Alternatively, it may be realized by software using a CPU (Central Processing Unit).

  In the latter case, the management devices 1, 1a, 1b, and 1c include a CPU that executes instructions of a program that is software that realizes each function, and a ROM in which the program and various data are recorded so as to be readable by a computer (or CPU) (Read Only Memory) or a storage device (these are referred to as “recording media”), a RAM (Random Access Memory) for expanding the program, and the like. Then, the computer (or CPU) reads the program from the recording medium and executes it to achieve the object of the present invention. As the recording medium, a “non-temporary tangible medium” such as a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. The program may be supplied to the computer via an arbitrary transmission medium (such as a communication network or a broadcast wave) that can transmit the program. The present invention can also be realized in the form of a data signal embedded in a carrier wave, in which the program is embodied by electronic transmission.

  The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

  The present invention can be used for managing energy consumption of production facilities installed in factories and the like.

1, 1a, 1b, 1c Management device 2 Production facility 3 Production line 5 Energy measurement sensor (measurement unit)
6 Object passage detection sensor (detection unit)
7 Detection device 9, 9d Management system 14 Display unit 15 Input unit 21, 21d Data acquisition unit 22 Basic unit calculation unit 23, 23a, 23b, 23c Classification unit 24, 24a Learning value calculation unit 25, 25a Target value calculation unit 26, 26a Display control unit 27 Input analysis unit 74 Data acquisition unit 75 Basic unit calculation unit

Claims (16)

Energy data indicating energy consumption of the production line measured at a time interval shorter than the time interval required for production of the predetermined amount of product, and the production start time of the predetermined amount of product by the production line and the next predetermined amount A data acquisition unit for acquiring production time data indicating the production start time of the product,
A basic unit calculation unit that calculates an energy basic unit that is a value obtained by integrating the energy consumption during a period from a production start time of a predetermined amount of product to a production start time of a next predetermined amount of product. Management device characterized. A classification unit for classifying the energy intensity into a standard value and a standard value; and
The management apparatus according to claim 1, further comprising: a display control unit configured to display each total energy consumption for a predetermined period classified within the reference value and outside the reference value. The production start time of the predetermined amount of product is included in the production plan time and within the reference value, the production unit time of the predetermined amount of product is within the reference value, and the production start time of the predetermined amount of product is the production planned time. The energy intensity that is included in and outside the reference value is outside the reference value, and the energy intensity that is included in the production start time of the predetermined amount of product is outside the production plan time. A classification part for classification;
The management apparatus according to claim 1, further comprising: a display control unit configured to display each total consumption energy for a predetermined period classified within the reference value, outside the reference value, and outside the production plan time. . A learning value for calculating, as a learning value, an average value of the energy intensity classified within the reference value and an average value of the energy intensity classified outside the reference value based on the energy intensity classified by the classification unit. A calculation unit;
Based on the learning value, the number of planned productions, and the target occurrence rate of energy intensity classified outside the reference value, the target of each total consumption energy classified within the reference value and outside the reference value in the predetermined period A target value calculation unit for calculating at least one of a value and a target value of total consumption energy of the production line, which is a sum of target values of total consumption energy classified within the reference value and outside the reference value; Further comprising
The management apparatus according to claim 2, wherein the display control unit further displays the target value calculated by the target value calculation unit. Based on the energy intensity classified by the classification unit, the average value of the energy intensity classified within the reference value, the average value of the energy intensity classified outside the reference value, and the outside of the planned production time A learning value calculation unit that calculates energy consumption per unit time in as a learning value;
Based on the learning value, the production planned time, the planned production number, and the target appearance rate of the energy intensity classified as outside the reference value, within the reference value, outside the reference value, and outside the production planned time in the predetermined period. And a target value of total energy consumption within the production planning time obtained by totaling target values of total energy consumption classified into the reference value and each of the total energy consumption classified outside the reference value, In addition, at least one of the target value of the total energy consumption in the production line is calculated by adding the target value of the total energy consumption within the production planning time and the target value of the total energy consumption classified outside the production planning time. A target value calculation unit,
The management apparatus according to claim 3, wherein the display control unit further displays the target value calculated by the target value calculation unit. The classification unit further includes a production start time of the predetermined amount of product included outside the production planned time, and a production start time of the predetermined amount of product included within the facility operation planned time, and Production start time of the predetermined amount of product during the start-up of the energy intensity that does not include the production planned time in the period from the start time of the facility operation planned time to the production start time of the predetermined amount of product Is included outside the planned production time and the production start time of the predetermined amount of product is waiting while the basic unit of energy is included in the production start time of the predetermined amount outside the planned operation time of equipment. Is included outside the planned production time and the production start time of the predetermined amount of product is included in the planned facility operation time, and the predetermined amount of the product is determined from the start time of the planned facility operation time. Until production start time The unit energy consumption, including the production planning time during the period of the classification in the waiting,
The said display control part displays each total consumption energy of the predetermined period classified into the said reference value, the said reference value outside, the said starting, and the said waiting | standby, The management of Claim 3 characterized by the above-mentioned. apparatus. Based on the energy intensity classified by the classification unit, the average value of energy intensity classified within the reference value, the average value of energy intensity classified outside the reference value, and the starting and A learning value calculation unit that calculates energy consumption per unit time during standby as a learning value;
Based on the learning value, the planned production time, the facility operation planned time, the planned production number, and the target appearance rate of the energy basic unit classified outside the reference value, within the reference value, outside the reference value in the predetermined period, The target value of each total energy consumption classified during the start-up and the standby, and the target time of each total energy consumption classified within the reference value and outside the reference value are within the planned production time. And the target value of the total energy consumption of the production line obtained by adding together the target value of the total energy consumption within the production planning time and the target value of the total energy consumption classified outside the production planning time. A target value calculation unit for calculating at least one of the values,
The management apparatus according to claim 6, wherein the display control unit further displays the target value calculated by the target value calculation unit. The classifying unit classifies the energy intensity that is included in a production plan time and within a reference value within a production plan time of the predetermined amount of the product within a reference value, and Classifying the energy intensity that is included in the planned production time and outside the standard value, and out of the standard value;
Production start time of the predetermined amount of product is included outside the production plan time, and the energy basic unit whose production start time of the next predetermined amount product is included within the production plan time is outside the production plan time. Classify and
Classifying the energy intensity that is included in the reference value and the production start time of the predetermined amount of product and the production start time of the next predetermined amount of product are included outside the production plan time,
The energy intensity that is included in the production start time of the predetermined amount of product and the production start time of the next predetermined amount of product outside the planned production time and outside the reference value is the reference value. Divide the energy unit into the other energy unit by subtracting the reference value from the original energy unit, classify the one energy unit within the reference value, and set the other energy unit as the planned production time. The management device according to claim 3, wherein the management device is classified as outside.   The classification unit is configured to calculate the next predetermined amount of product from the production start time of the predetermined amount of product, even if the production start time of the predetermined amount of product is included in the production plan time. 4. The management apparatus according to claim 3, wherein an energy intensity that is longer than a predetermined value for a period until the production start time is classified outside the production plan time.   The classifying unit classifies an energy unit larger than a predetermined value outside the production plan time even if the energy start unit included in the production plan time of the predetermined amount of the product is included in the production plan time. The management device according to claim 3. A measurement unit that measures the energy consumption of the production line at a time interval shorter than the time interval required to produce a predetermined amount of product;
A detection unit for detecting a production start time of a predetermined amount of product and a production start time of a next predetermined amount of product by the production line;
A basic unit calculation unit that calculates an energy basic unit that is a value obtained by integrating the energy consumption during a period from a production start time of a predetermined amount of product to a production start time of a next predetermined amount of product. A featured detection device. A data acquisition unit that acquires the energy intensity calculated by the detection device according to claim 11;
A classification unit for classifying the energy intensity into a standard value and a standard value; and
And a display control unit that displays each total energy consumption for a predetermined period classified within the reference value and outside the reference value.   A management system comprising the detection device according to claim 11 and the management device according to claim 12. Energy data indicating energy consumption of the production line measured at a time interval shorter than the time interval required for production of the predetermined amount of product, and the production start time of the predetermined amount of product by the production line and the next predetermined amount A data acquisition step for acquiring production time data indicating the production start time of the product;
A basic unit calculation step of calculating an energy basic unit that is a value obtained by integrating the consumed energy in a period from a production start time of a predetermined amount of product to a production start time of a next predetermined amount of product. A control method for a management apparatus, characterized by the following.   A control program for causing a computer to function as the management apparatus according to claim 1, wherein the control program causes the computer to function as the data acquisition unit and the basic unit calculation unit.   A computer-readable recording medium on which the control program according to claim 15 is recorded.

Images