Electrical equipment identification system, electrical equipment identification device, and its program

Abstract

To provide an electric equipment identification system, an electric equipment identification device, a learning model generation method, and a program therefor, which can identify an electric equipment connected to each breaker simply by connecting a current detection device to a power line connected to the electric equipment, arranging a management device in a distribution board, and operating the electric equipment identification system. [Solution] The electrical equipment identification system 1 used when installing a carbon dioxide information processing system is disposed in a distribution board 50 having a breaker 53 installed therein, and includes: a current detection means for detecting a current flowing in a power line 54 that supplies power to an electrical equipment 2 and transmitting the detection result; an input means for inputting voltage data; a power waveform generation means for generating power waveform data from the current waveform detected by the current detection means and voltage data input by an operator; and an estimation means for inputting the power waveform data into a learning model to estimate the electrical equipment 2 connected to each breaker 53.

Description

[Technical Field]

[0001] The present invention relates to an electrical equipment identification system, an electrical equipment identification device, and a program for identifying electrical equipment connected to a distribution board when installing a carbon dioxide information processing system for calculating carbon dioxide emissions based on the power consumption of electrical equipment installed inside a factory, for example. [Background technology]

[0002] Patent Document 1 discloses a carbon dioxide information providing system as a system installed in a factory or the like for calculating the amount of carbon dioxide emissions according to the amount of power consumed by electrical equipment.

[0003] Conventionally, when installing a carbon dioxide information processing system such as that disclosed in Patent Document 1, it was necessary to install a power measurement unit (measuring device) at a power receiving point such as a distribution board, identify the electrical equipment installed beyond that point, and then input information about that electrical equipment into the system.

[0004] However, except in newly built factories where the electrical wiring is clearly defined, if the destination displays and wiring diagrams displayed on the breakers in the distribution panel have been updated, it may be possible to identify the electrical equipment connected to that breaker.However, in older factories, it is often not clear which electrical equipment is connected to each breaker, and when installing a power measurement unit (measuring device), it is necessary to identify the electrical equipment connected to each breaker on site. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2008-286538 Summary of the Invention [Problem to be solved by the invention]

[0006] Identifying electrical equipment on-site was a very tedious task, requiring, for example, a holiday when the factory was closed, to turn off all breakers, leave only one breaker on, and then repeatedly turn on the power switches of the electrical equipment in the factory in order to identify the connected electrical equipment.

[0007] Therefore, there are issues with time constraints, as the work of identifying electrical equipment can only be done on holidays when the factory is not in operation, and in large factories where many pieces of equipment are installed, the amount of work required becomes enormous.Furthermore, there is the issue of cost, as the expenses become enormous when requesting the work to be done by a specialist electrical equipment company.

[0008] The present invention has been made in consideration of the above-mentioned problems, and its specific object is to provide an electrical equipment identification system, an electrical equipment identification device, a learning model generation method, and a program therefor that can identify electrical equipment even when the factory is operating, by simply installing a current detection device in the power line connecting the breaker to the electrical equipment, and further installing a management device in the distribution board, and running the electrical equipment identification system to identify the electrical equipment connected to each breaker. [Means for solving the problem]

[0009] The present invention has been devised to achieve the above-mentioned object. More specifically, the present invention provides an electrical equipment identification system for use when installing a carbon dioxide information processing system for determining carbon dioxide emissions based on the power consumption of electrical equipment installed in a factory or the like, the system including: a current detection means for detecting current data flowing in power lines supplying power to the electrical equipment connected to each of the breakers and transmitting the detection results; an input means for an operator to input voltage data of the power lines connected to the breakers; a power waveform data generation means for generating power waveform data based on the current data detected by the current detection means and the voltage data input by the operator; and an estimation means for inputting the power waveform data into a learning model to estimate the electrical equipment connected to each of the power lines.

[0010] The electrical equipment identification system of the present invention can identify electrical equipment even when the factory is in operation. Simply by attaching a current detection clamp sensor to the power line connecting the breaker to the electrical equipment and running the system, the electrical equipment connected to that power line can be identified. This significantly reduces the labor required to install a carbon dioxide information processing system for calculating carbon dioxide emissions based on the power consumption of electrical equipment.

[0011] The present invention further includes a configuration having an indoor temperature measuring means disposed in the distribution board for measuring the indoor temperature of the installation location, and an estimation means for estimating the electrical equipment connected to each of the breakers by inputting into a learning model the indoor temperature data measured by the indoor temperature measuring means, outdoor temperature data obtained via the Internet using installation address data entered by an operator, current data detected by the current detection means, and power waveform data generated from voltage data entered by the operator.

[0012] The electrical equipment identification system of the present invention can improve the accuracy of the system by adding, in addition to the power waveform data, indoor temperature measured at the installation location and outdoor temperature data obtained via the Internet based on the installation address data entered by the operator.

[0013] The present invention includes a configuration including a means for displaying the electrical appliance estimation results estimated by the estimation means on a user terminal operated by an operator, receiving an instruction indicating whether or not to adopt the electrical appliance estimation results by the operator operating the user terminal, and reflecting the instruction as data identifying the electrical appliance on a setting screen for installing the carbon dioxide information processing system in accordance with the instruction.

[0014] The electrical equipment identification system of the present invention displays the electrical equipment estimation results on a user terminal, and the operator can compare the electrical equipment estimation results with the electrical equipment installed in the factory or facility where the electrical equipment identification system is installed, and by identifying and indicating the electrical equipment connected to each breaker, this can be reflected in the setup procedure for installing the carbon dioxide information processing system, thereby significantly improving the efficiency of the setup work.

[0015] The present invention provides a current detection device that is disposed inside the door of a switchboard having a plurality of breakers that open and close the energized circuits of power lines that supply power to electrical equipment installed in a factory, facility, etc., and that detects currents flowing in power lines connected from each of the plurality of breakers to the electrical equipment and transmits the detection results; a management device that is disposed outside the door of the switchboard and has a temperature measurement device that receives the current detection results transmitted from the current detection device and measures the room temperature; a cloud server that has an estimation unit that inputs power waveform data transmitted from the management device via a communication network into a learning model to estimate the electrical equipment connected to each of the breakers; and a cloud server that is connected via the communication network and that performs input work such as electrical equipment information and instructions on the estimation results of the electrical equipment. and a user terminal that transmits and receives electrical equipment information, wherein the current detection device has a plurality of connection parts that are connected to power lines that supply power to the electrical equipment, each of which is connected to a plurality of the breakers; the management device has a communication part that generates power waveform data from the current detection results for each of the connection parts and voltage data of the breakers input by the user terminal, and transmits and receives the data wirelessly via a communication network provided outside the distribution board; the cloud server has an estimation part that estimates the connected electrical equipment based on electrical equipment information and power waveform data input by an operator; and the current detection device and the management device are connected by a connection cable that is formed so as to be connectable when the door of the distribution board is closed.

[0016] Since the electrical equipment identification device of the present invention is connected to a cloud server via a communication network, learning data of electrical equipment in other factories and facilities where the electrical equipment identification device of the present invention has been installed is also accumulated in the learning data section of the cloud server, which is expected to further improve the accuracy of estimating electrical equipment.

[0017] The present invention includes a configuration in which a plurality of breakers are arranged in a distribution board provided therein, and currents flowing in power lines that supply power to the electrical devices connected to each of the breakers are detected based on the detection results and voltage data of the breakers input by an operator, and learning data is acquired that associates power waveform data with information about the electrical device input by the operator, such as the name of the electrical device, the manufacturer name, the model, and the year of manufacture; and a configuration in which, using the learning data, a learning model is generated that estimates the name, manufacturer name, model, and year of manufacture of the electrical device connected to the breaker when the power waveform data generated by inputting the current detection results and the voltage data is input.

[0018] The learning model generation method of the present invention compares the power waveform data of electrical equipment connected to a breaker. Specifically, the power waveform data is generated using elements such as the pattern of the standby power portion of the electrical equipment, which has a flat shape, the pattern of the output power portion during operation, such as the maximum output value and average power amount, and usage time zone trends.The learning model is trained using accumulated learning data to estimate the machine name, manufacturer name, model, and year of manufacture of the electrical equipment, and the results are output.

[0019] The present invention includes a configuration in which the learning data associates power waveform data generated from the current detection result and the voltage data of the breaker input by the operator with information about the electrical equipment input by the operator, such as the name of the electrical equipment, the manufacturer name, the model, and the year of manufacture, as well as indoor temperature data measured by an indoor temperature measuring means and outdoor temperature data obtained via the Internet from weather information for the address based on installation address data in the usage information input by the operator, using the learning data to generate a learning model that, when inputting power waveform data generated by inputting the current detection result and the voltage data, indoor temperature data, and outdoor temperature data, estimates the electrical equipment connected to the breaker and outputs the result.

[0020] The learning model generation method of the present invention inputs, in addition to the power waveform data of electrical equipment connected to a breaker, outdoor temperature data at the installation address and indoor temperature data measured by an indoor temperature measurement means, and has the effect of improving the estimation accuracy of electrical equipment using a learning model trained using the accumulated learning data, particularly for electrical equipment such as air conditioning equipment such as cooling devices, heating devices, and fans.

[0021] The program of the present invention can easily be realized by a computer (PC) as an electrical equipment identification system, an electrical equipment identification device, and a learning model generation method that identify electrical equipment based on data obtained automatically or by optional operations under the conditions described above. [Effects of the Invention]

[0022] The electrical equipment identification system, electrical equipment identification device, learning model generation method, and program of the present invention are capable of identifying electrical equipment even when the factory is operating; by simply installing a current detection device on the power line connecting the breaker to the electrical equipment, and then installing a management device in the distribution board and operating the electrical equipment identification system, it is possible to identify the electrical equipment connected to each breaker, thereby significantly improving the work efficiency of installing a carbon dioxide information processing system. [Brief explanation of the drawings]

[0023] [Figure 1] 1 is a schematic block diagram of an electric device identifying system including an electric device identifying device according to an embodiment of the present invention. [Figure 2] (A) is a front view of a distribution board with an electrical equipment identification device of this embodiment installed, and (B) is a front view of a distribution board with an electrical equipment identification device of this embodiment installed and the door section of the distribution board opened. [Figure 3] 4 is a flowchart showing the flow of various processes performed in the electrical device identification system. [Figure 4] FIG. 2 is a diagram showing Example 1 of a power waveform generated by the electric device identification system according to the present embodiment. [Figure 5]FIG. 10 is a diagram showing a second example of a power waveform generated by the electric device identification system according to the present embodiment. [Figure 6] FIG. 10 is a diagram showing a CH setting screen displayed on a user terminal according to the present embodiment. [Figure 7] FIG. 10 is a diagram showing a setting screen of the carbon dioxide information processing system. DETAILED DESCRIPTION OF THE INVENTION

[0024] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to the embodiments described below, and the forms to which the present invention can be applied are not limited to the following embodiments. In addition, in the description of the drawings, the same elements are given the same reference numerals.

[0025] [System Configuration] 1 shows an example of the configuration of an electric appliance identification system 1 according to this embodiment. As shown in Fig. 1, the electric appliance identification system 1 according to this embodiment includes a current detecting device 10 disposed in a switchboard 50, a management device 20, a cloud server 30, and a user terminal 40.

[0026] The multiple electrical devices 2 connected to the distribution board 50 are, for example, electrical devices installed in various facilities such as factories and offices, and operated by electricity, and may be, for example, machine tools such as lathes, milling machines, and presses, air conditioning machines such as heating and cooling systems and ventilation systems, and lighting devices such as LEDs, fluorescent lamps, and mercury lamps.

[0027] 1 and 2, a distribution board 50 forms a circuit that supplies power from a power source 3 to a plurality of electrical devices 2, and is installed inside or outside various facilities where the electrical devices 2 are installed. The distribution board 50 is composed of a main body 51 that is a metal box-shaped body, a metal door 52 that is pivotally attached to the front of the main body so that it can be opened and closed, and a plurality of breakers 53 that are arranged inside the main body 51. The power source 3 and each electrical device 2 are connected by a power line 54, and a breaker 53 for opening and closing the circuit is arranged midway along the power line 54 to each electrical device 2.

[0028] The current detection device 10 is composed of a resin detection device main body 11 attached to the inside of the door section 52, and a detection cable 12. The detection device main body 11 has a connection socket section 13 to which one end of the detection cable 12 is connected, and a power socket section 14 to which the power cord 4 is connected, and is detachably magnetically attached to the inside of the door section 52 by a magnetic material affixed to the back surface of the detection device main body 11.

[0029] The detection cable 12 is composed of a joining connector 15 at one end that can be attached to and detached from the joining socket 13, and a current detection clamp 16 at the other end. The current detection clamp 16 is detachably attached so as to clamp the power line 54 that is connected from the breaker 53 to the electrical device 2, and detects the current data supplied to the electrical device 2.

[0030] The management device 20 has a resin management device body that is detachably attached to the outside of the door section 52 by a magnetic material attached to the back surface of the management device body. Furthermore, the management device 20 is equipped with a temperature measuring device 21, a memory section 22, a control section 23, a communication section 24, and a power socket section 25 to which the power cord 4 is connected, all of which are provided inside the management device body. The temperature measuring device 21, a temperature sensor (not shown), is provided in a position where it can measure the temperature of air flowing in from an air intake port (not shown) in order to measure the indoor temperature outside the management device body.

[0031] The management device 20 generates power waveform data from the current data transmitted from the current detection device 10 and the voltage data input by the user terminal 40, and transmits the power waveform data to the cloud server 30. In addition, the management device 20 also transmits the indoor temperature measured by the temperature measurement device 21 to the cloud server 30.

[0032] The control unit 23 is composed of a central processing unit, or CPU (Central Processing Unit), the communication unit 24 is composed of a general network router, and the memory unit 22 is composed of a ROM (Read Only Memory), RAM (Random Access Memory), etc.

[0033] The storage unit 22 stores an OS (Operating System) executed by the control unit 23, various programs such as a power waveform data generation execution program, and data used in these programs.

[0034] The management device 20 and the current detection device 10 are connected by a connection cable 70. Connectors 71, 71 are attached to both ends of the connection cable 70, and the management device 20 and the current detection device 10 each have a connection cable socket (not shown) that is detachable from the connectors 71, 71. The connection cable 70 may be formed in a so-called flat shape, in which the outer periphery is flat in a plane transverse to the longitudinal direction, so that connection can be made using the gap between the main body 51 and the door 52 when the door 52 of the switchboard 50 is closed.

[0035] Cloud server 30 is connected to management device 20 and user terminal 40 via a communication network 60, for example, the Internet. Cloud server 30 has a communication unit 31, a control unit 32, and a storage unit 33. Furthermore, control unit 32 has an estimation unit 34 and a learning unit 35, and storage unit 33 is composed of a learning data unit 36 ​​and the like.

[0036] The control unit 32 is composed of a central processing unit, such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), the communication unit 31 is composed of a communication device that connects to the communication network 60 and communicates with the management device 20 and the user terminal 40, and the memory unit 33 is composed of a ROM (Read Only Memory), RAM (Random Access Memory), etc.

[0037] The storage unit 33 stores an OS (Operating System) executed by the control unit 32, various programs such as programs for executing the present system and applications, and data used by these programs.

[0038] The learning unit 35 generates learning data that associates power waveform data transmitted to the cloud server 30 via the communication network 60 from the management device 20 of another factory or facility where the electrical equipment identification system 1 of the present invention has already been installed with information about the electrical equipment identified by the operator, such as the electrical equipment name, manufacturer name, model, and year of manufacture, and stores the data in the learning data unit 36.

[0039] The estimation unit 34 can estimate which electric appliance 2 is connected to the breaker 53 by identifying which of the learning data units 36 the power waveform data transmitted from the management device 20, which was attached when the electric appliance identification system 1 of the present invention was installed, is most similar to. For example, by using a support vector machine (SVM), which is one of the mechanisms of supervised machine learning, and learning the training data in advance, a learning model can be created and the electric appliance 2 can be estimated. Furthermore, the machine learning mechanism used is not limited to SVM, and any learning mechanism such as a deep neural network (DNN) or a long short term memory (LSTM) can be used.

[0040] The user terminal 40 is connected to the cloud server 30 via a communication network 60, for example, the Internet, and is also connected to the management device 20 via the cloud server 30.

[0041] Furthermore, the user terminal 40 is a terminal that the user carries and uses, such as a personal computer (PC), a mobile information terminal, or a smartphone, and is composed of a display unit 41, an input unit 42, a memory unit 43, a communication unit 44, a control unit 45, etc.

[0042] The control unit 45 is composed of a central processing unit, or so-called CPU (Central Processing Unit), etc., the communication unit 44 is connected to the communication network 60 and has a LAN function for communicating with the cloud server 30 and a short-range wireless communication function, etc., the memory unit 43 includes a ROM (Read Only Memory) and a RAM (Random Access Memory), etc., the input unit 42 is composed of a hard key keyboard or a software key touch panel, etc., and the display unit 41 is composed of a liquid crystal display (LCD) or an organic EL (Electroluminescence) display, etc.

[0043] [System processing example] Next, a description will be given of an example of processing shown in FIG. 3 for identifying electrical appliances 2 connected to a plurality of breakers 53 when installing a carbon dioxide information processing system.

[0044] The current detecting device 10 and the management device 20 of this embodiment are attached to the switchboard 50, and processing of the electrical equipment identification system of this embodiment is started. The current detecting device 10 detects current data flowing through the power line 54 (step DSC001). The detected current data is transmitted from the current detecting device 10 to the management device 20. The temperature measuring device 21 built into the management device 20 measures the temperature of the location (room) where the switchboard 3 is installed (step DSC002).

[0045] Next, the operator operates user terminal 40 to log in to a dedicated application of this system via the Internet, opens the channel (CH) setting screen of user terminal 40 shown in Fig. 6, and inputs, for example, single-phase 100V, single-phase 200V, three-phase 200V, etc. as voltage data for the breaker 53 that is the channel (CH) to be set (step DSC003). The input voltage data is transmitted to management device 20 via cloud server 30, and power waveform data is generated by management device 20 (step DSC004).

[0046] The management device 20 transmits the power waveform data to the cloud server 30 via the communication network 60 (step DSC005). The power waveform data transmitted by the cloud server 30 is input to the estimation unit 34, which compares the data with stored learning data to estimate the electrical device, and outputs the estimation result (step DSC006).

[0047] The output electric appliance estimation result is displayed on the channel (CH) setting screen of the user terminal 40 (step DSC007). The operator compares the electric appliance estimation result with the electric appliances installed in the building where the electric appliance identification system is installed, identifies the electric appliance, and selects whether to adopt the electric appliance estimation result. If the electric appliance estimation result is to be adopted, the operator presses the complete button on the channel (CH) setting screen of the user terminal 40 (step DSC007).

[0048] If the operator does not adopt the electrical equipment estimation result, he / she enters information about the estimated electrical equipment and electrical equipment installed in the building that is similar to the estimated electrical equipment on the channel (CH) setting screen of the user terminal 40 and presses the complete button (step DSC008).

[0049] When the completion button on the channel (CH) setting screen of the user terminal 40 is pressed, the electrical appliance identification result is reflected and displayed on the setting screen of the carbon dioxide information processing system shown in FIG. 7, and the process ends (step DSC009).

[0050] Furthermore, before the operator inputs the voltage data (step DSC003), if the operator inputs the installation location settings on the setting screen of the carbon dioxide information processing system shown in Figure 7, the outside air temperature data will be obtained via the Internet and will also be input into the estimation unit 34.

[0051] [Learning model generation method] First, the current detection device 10 and management device 20, which are devices that make up the above-mentioned electrical appliance identification system 1, are attached to the switchboard 50. When the process of identifying the electrical appliance 2 is completed, the electrical appliance information is reflected on the installation screen of the carbon dioxide information processing system shown in FIG. 7. Then, the operator inputs usage information such as the installation location, the power company to be used, and the electricity purchase price. When the operator completes the setup work for the carbon dioxide information processing system by inputting settings such as the display period on the channel setting screen, the electrical appliance identification system 1 functions as a carbon dioxide information processing system.

[0052] When functioning as a carbon dioxide information processing system, a large amount of learning data is transmitted to the cloud server 30 via the communication network 60 from the management devices 20 in various facilities such as factories and offices where the system is installed.

[0053] The learning data associates the power waveform data generated by each management device 20 with the electrical equipment information specified by the operator, such as the equipment name, manufacturer name, model, and year of manufacture, and stores the data in the learning data unit 36. When the generated power waveform data is transmitted to the cloud server 30 from the management device 20 equipped with the electrical equipment identification system 1 and input to the estimation unit, a learning model is generated that estimates the equipment name, manufacturer name, model, and year of manufacture of the electrical equipment connected to the breaker 53 of the power waveform data.

[0054] Furthermore, as a second learning model, in addition to learning data that associates the power waveform data generated by each management device 20 with the electrical device information specified by the operator, such as the device name, manufacturer name, model, and year of manufacture, learning data that further associates indoor temperature data measured by the indoor temperature measurement means with outdoor temperature data acquired via the Internet from weather information for the address based on installation address data entered by the operator is acquired and stored in the learning data unit 36. When the generated power waveform data and indoor / outdoor temperature data are transmitted from the management device 20 equipped with the electrical device identification system 1 to the cloud server 30 and input to the estimation unit 34, a second learning model is generated that estimates the device name, manufacturer name, model, and year of manufacture of the electrical device connected to the breaker 53 of the power waveform data.

[0055] As shown in Figures 4 and 5, the learning model of the present invention compares the power waveform data of electrical equipment. Specifically, the learning model uses accumulated learning data to learn power waveform data formed from the pattern of the standby power portion of the electrical equipment, which has a flat shape, and the pattern of the output power portion during operation, such as peak power and average power consumption, and can estimate the machine name, manufacturer name, model, and year of manufacture of the electrical equipment.

[0056] Furthermore, in addition to the power waveform data, the outside temperature data at the installation address and the indoor temperature data measured by the indoor temperature measurement means are input, and a second learning model is trained using the accumulated learning data, which has the effect of improving the estimation accuracy particularly for electrical equipment such as air conditioning equipment, such as cooling units, heating units, and fans.

[0057] [Additional explanation] After identifying the electrical equipment, the system functions as a carbon dioxide information processing system. From the current data detected by the current detection device 10 and the usage information entered by the operator, such as the power company used and the address of the set location, the system identifies the power generation method (wind, solar, thermal, hydroelectric, nuclear, etc.) of the electricity being supplied, obtains via the Internet data on carbon dioxide emissions during power generation at the power plant published by the power company, and calculates the relationship between the power consumption and carbon dioxide emissions of the channel (CH) for each breaker 53 on which the carbon dioxide information processing system is installed, and displays and monitors this on the screens shown in Figures 4 and 5.

[0058] As described above, the best configurations, methods, etc. for implementing the present invention have been disclosed in the above description, but the present invention is not limited thereto, and other embodiments, additions, modifications, omissions, and other changes may be made within the scope of what one skilled in the art can conceive. As long as the functions and effects of the present invention are achieved in any aspect, they are within the scope of the present invention. Therefore, the present invention can provide not only the above-described electrical appliance identification system, electrical appliance identification device, and learning model generation method, but also a computer-readable program for executing the method and a recording medium on which the program is recorded.

[0059] Furthermore, in the above embodiment, each user terminal and cloud server are described as being one unit, but it is of course possible to use a plurality of terminals, a plurality of servers, a supercomputer, etc. [Explanation of symbols]

[0060] 1 Electrical Equipment Identification System 2. Electrical equipment 3 Power supply 4 power cords 10 Current detection device 11. Detector body 12 Detection cable 13 Joint socket 14 Power socket 15. Joint connector part 16 Current detection clamp section 20 Management device 21 Temperature measuring device 22,33,43 Storage section 23, 32, 45 Control section 24, 31, 44 Communications Department 25 Power socket 30 Cloud Servers 34 Estimation part 35 Learning Department 36 Learning Data Section 40 User terminals 41 Display section 42 Input section 50 Switchboard 51 Main body 52 Door section 53 Breaker 54 Power line 60 Communication Network 70 Connection Cable 71 Connector part

Claims

1. An electrical equipment identification system used when installing a carbon dioxide information processing system that calculates carbon dioxide emissions based on the power consumption of an electrical equipment obtained from current data flowing through a power line and input voltage data, a current detection means disposed in a distribution board having a plurality of breakers provided therein, which detects currents flowing in power lines connected to the breakers and supplying power to the electrical devices, and transmits the detection results; an input means for an operator to input voltage data of a power line connected to the breaker; a power waveform generating means for generating power waveform data based on the current data detected by the current detecting means and the input voltage data; an estimation means for estimating an electrical device connected to each of the breakers by inputting the power waveform data into a learning model; An electrical equipment identification system comprising:

2. an indoor temperature measuring means disposed in the switchboard for measuring the indoor temperature of the installation location; Indoor temperature data measured by the indoor temperature measuring means; outdoor temperature data acquired via the Internet based on installation address data entered by an operator; an estimation means for estimating the electrical equipment connected to each of the breakers by inputting the indoor temperature data and the outdoor temperature data in addition to the power waveform data into a learning model; The electrical device identification system according to claim 1 , comprising:

3. presenting an electrical equipment estimation result estimated by the estimation means to an operator; receiving an instruction from the operator indicating whether or not to adopt the electrical appliance estimation result; and further including reflecting the electrical device specific data on a setting screen for installing the carbon dioxide information processing system in response to the instruction. The electrical device identification system according to claim 1 or 2.

4. a current detection device disposed inside a door of a distribution panel having a plurality of breakers for opening and closing current circuits in power lines that supply power to electrical equipment, the current detection device detecting currents flowing in the power lines connected to each of the plurality of breakers and transmitting the detection results; a management device that is disposed outside the door of the switchboard, receives the current detection results transmitted from the current detection device, and has a temperature measurement device that measures the indoor temperature, and serves as a power waveform generation means; a cloud server having an estimation unit that estimates the electrical equipment connected to each of the breakers by inputting power waveform data transmitted from the management device via a communication network into a learning model; An electric device identification device including a user terminal connected via a communication network, which is used by an operator to input electric device information and transmits and receives instructions regarding estimation results of electric devices, the current detection device has a plurality of connection parts connected to the plurality of breakers, respectively, and connected to a power line that supplies power to the electrical equipment; the management device has a communication unit that generates power waveform data using the current detection results for each of the connection parts and voltage data input by the user terminal, and wirelessly transmits and receives the power waveform data via a communication network provided outside the switchboard; The electrical equipment identification device is characterized in that the current detection device and the management device are connected by a connection cable that is configured to be connectable when the door portion is closed.

5. a current detection result unit that is disposed inside a door of a distribution panel having a plurality of breakers that open and close current circuits in power lines that supply power to electrical devices, and that detects currents flowing in the power lines connected to each of the plurality of breakers and transmits the detection results; acquiring learning data that associates power waveform data generated from voltage data of the breaker input by an operator with information on the electrical equipment input by the operator; generating a learning model using the learning data to estimate an electrical device connected to the breaker when power waveform data generated by inputting the current detection result and the voltage data is input; A learning model generation method including:

6. The second learning data includes power waveform data generated by inputting the current detection result and the breaker voltage data, information on the electrical equipment, and Indoor temperature data measured by an indoor temperature measuring means; Acquiring learning data further associated with the outdoor temperature data acquired based on the installation address data input by the operator; generating a learning model using the learning data to estimate an electrical device connected to the breaker when power waveform data generated by inputting the current detection result and the voltage data, indoor temperature data, and outdoor temperature data are input; A second learning model generation method.

7. A program for causing a computer to execute the electrical appliance identification system according to claims 1 and 2, the electrical appliance identification device according to claim 4, and the learning model generation method according to claims 5 and 6.

8. A program for causing a computer to execute the electrical device identification system according to claim 3.

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