Electrical equipment identification system and its program

Abstract

The present invention provides an electrical equipment identification system, an electrical equipment identification device, a learning model generation method, and a program for the same, which identify electrical equipment connected to each breaker by connecting a current detection device to a power line connected to the electrical equipment, arranging a management device in a distribution board, and operating the electrical equipment identification system. [Solution] The electrical equipment identification system 1 used when installing a carbon dioxide information processing system is arranged in a distribution board 50 with a breaker 53 installed inside, and has a current detection device 10 that detects the current flowing in a power line 54 that supplies power to electrical equipment 2 and transmits the detection results, an input unit 42 into which an operator inputs voltage data, a management device 20 (power waveform generation means) that generates power waveform data from the current waveform detected by the current detection device and the voltage data input by the operator, and an estimation unit 34 that estimates the electrical equipment 2 connected to each breaker 53 by inputting the power waveform data into a learning model.

Description

Technical Field

[0001] The present invention relates to an electrical equipment identification system, an electrical equipment identification device, and a program thereof for identifying electrical equipment connected to a switchboard when installing a carbon dioxide information processing system for obtaining carbon dioxide emission amounts based on the power consumption of electrical equipment installed inside, for example, a factory.

Background Art

[0002] As a system for calculating carbon dioxide emission amounts according to the power consumption of electrical equipment installed in a factory or the like, Patent Document 1 discloses a carbon dioxide information providing system.

[0003] Conventionally, when installing a carbon dioxide information processing system as disclosed in Patent Document 1, it has been necessary to arrange a power measurement unit (measurement device) at a power receiving point such as a switchboard, identify the electrical equipment installed there, and then input and set the information of the electrical equipment into the system.

[0004] However, outside of a newly constructed factory where the electrical wiring is clear, if the destination display or wiring diagram displayed on the breaker of the switchboard has been updated, the electrical equipment connected to the breaker may be identifiable in some cases. However, in old factories and the like, it is often not clear which electrical equipment is connected to each breaker. When arranging the power measurement unit (measurement device), it has been necessary to re-identify on-site the electrical equipment connected to each breaker.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] Identifying electrical equipment on-site required an extremely cumbersome process: for example, on a holiday when the factory was not operating, all circuit breakers would be turned OFF, and only one breaker would be turned ON. Then, the power switches of the electrical equipment in the factory would be turned ON one by one, and this process would be repeated to identify which equipment was connected.

[0007] Therefore, the task of identifying electrical equipment presented several challenges: it could only be done on holidays when the factory was not operating, creating time constraints; the amount of work involved became enormous in large factories with numerous pieces of equipment; and hiring specialized electrical equipment companies resulted in substantial costs.

[0008] The present invention has been made in view of the above problems, and its specific objective is to provide an electrical equipment identification system, an electrical equipment identification device, a learning model generation method, and a program thereof that can identify electrical equipment even when a factory is in operation, by installing a current detection device on the power line connecting the circuit breaker to the electrical equipment, and further installing a management device on the distribution board, and activating the electrical equipment identification system, thereby enabling the identification of electrical equipment connected to each circuit breaker. [Means for solving the problem]

[0009] The present invention was devised to achieve the above objective. More specifically, the present invention relates to an electrical equipment identification system used 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, and includes a current detection means for detecting current data flowing through power lines supplying power to the electrical equipment connected to each breaker 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 from the current data detected by the current detection means and the voltage data input by the operator, and an estimation means for estimating the electrical equipment connected to each power line by inputting the power waveform data into a learning model.

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

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

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

[0013] The present invention provides the electrical equipment estimation results estimated by the estimation means to the user terminal operated by the operator. Display The operator operates the user terminal to obtain the electrical equipment estimation result. Whether or not to hire Upon receiving instructions, a settings screen for installing the carbon dioxide information processing system in accordance with those instructions will appear. A means of reflecting data to identify electrical equipment. This configuration includes the following:

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

[0015] The present invention includes a current detection device disposed inside the door of a distribution panel equipped with multiple breakers that open and close the power supply circuits of power lines that supply power to electrical equipment installed in factories and other facilities, and which detects the current flowing through the power lines connected to the electrical equipment from each of the multiple breakers and transmits the detection results; a management device disposed outside the door of the distribution panel, which receives the current detection results transmitted from the current detection device and has a temperature measuring device that measures the room temperature; 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; and a cloud server connected via a communication network that performs input work such as electrical equipment information and provides instructions on the estimation results of the electrical equipment. An electrical equipment identification device comprising a user terminal for sending and receiving information, wherein the current detection device has a plurality of connection parts connected to power lines that supply power to electrical equipment, each connected to a plurality of circuit breakers, the management device has a communication unit that generates power waveform data from the current detection results for each connection part and the voltage data of the circuit breakers input by the user terminal, and transmits and receives wirelessly via a communication network provided outside the distribution board, the cloud server has an estimation unit that estimates the connected electrical equipment based on the electrical equipment information and power waveform data input by the operator, and the current detection device and the management device are connected by a connection cable formed to allow connection 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 is already installed is also stored in the learning data section of the cloud server. Therefore, it is expected that the accuracy of estimating electrical equipment will be further improved.

[0017] The present invention includes a configuration in which a distribution board is installed with multiple circuit breakers inside, and for each circuit breaker, the detection results of the current flowing through the power lines supplying power to the electrical equipment connected to each breaker are detected, and voltage data of the breaker input by the operator are used to generate power waveform data, which is then associated with the electrical equipment information input by the operator, such as the name of the electrical equipment, manufacturer name, model, and year of manufacture. The present invention also includes a configuration in which a learning model is generated using the learning data to estimate the name of the electrical equipment, manufacturer name, model, and year of manufacture of the electrical equipment connected to the breaker when 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 power waveform data of electrical equipment connected to a circuit breaker. Specifically, it uses 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 consumption, and usage time trends as elements to generate power waveform data. Using this data, a learning model trained with accumulated learning data can estimate the machine name, manufacturer name, model number, and year of manufacture of the electrical equipment, and output the result.

[0019] The present invention includes a configuration that generates learning data by associating power waveform data generated from the current detection result and the voltage data of the circuit breaker input by the operator, and electrical equipment information such as the name of the electrical equipment, manufacturer name, model, and year of manufacture, which is input by a reception means that receives instructions from the operator to adopt the electrical equipment estimation result or to correct it if it is not adopted, with indoor temperature data measured by an indoor temperature measurement means and outdoor temperature data obtained via the Internet from weather information for that address, etc., based on the installation address data of the usage information input by the operator, and uses this learning data to generate a learning model that estimates the electrical equipment connected to the circuit breaker and outputs the result when power waveform data generated by inputting the current detection result and voltage data, indoor temperature data and outdoor temperature data are input.

[0020] The method for generating a learning model of the present invention inputs, in addition to the power waveform data of the electrical equipment connected to the breaker, the outside air temperature data of the installation address and the indoor temperature data measured by the indoor temperature measuring means, and uses the accumulated learning data to learn. The estimation accuracy of estimating electrical equipment with the learning model is particularly improved for electrical equipment such as air-conditioning equipment, refrigeration equipment, heating equipment, and blowers.

[0021] The program of the present invention functions a computer (PC) as an electrical equipment identification system for identifying electrical equipment based on data obtained by automatic or arbitrary operations under the above-described conditions, or functions a computer (PC) as an electrical equipment identification device, or the learning model generation method can be easily realized by a computer (PC).

Effect of the Invention

[0022] The electrical equipment identification system, electrical equipment identification device, learning model generation method, and program of the present invention can identify electrical equipment even when the factory is operating. By arranging a current detection device on the power line connecting the breaker to the electrical equipment and further arranging a management device on the distribution board to operate the electrical equipment identification system, the electrical equipment connected to each breaker can be identified. Therefore, the work efficiency for installing the carbon dioxide information processing system is greatly improved.

Brief Description of the Drawings

[0023] [Figure 1] It is a schematic block diagram of an electrical equipment identification system including the electrical equipment identification device according to the present embodiment. [Figure 2] (A) is a front view of the distribution board with the electrical equipment identification device according to the present embodiment installed, and (B) is a front view of the distribution board door opened with the electrical equipment identification device according to the present embodiment installed. [Figure 3] It is a flowchart showing the flow of various processes performed in the electrical equipment identification system. [Figure 4]This figure shows an example of a power waveform 1 generated by the electrical equipment identification system according to this embodiment. [Figure 5] This figure shows an example of a power waveform 2 generated by the electrical equipment identification system according to this embodiment. [Figure 6] This figure shows the CH setting screen displayed on the user terminal according to this embodiment. [Figure 7] This is a diagram showing the settings screen for the carbon dioxide information processing system. [Modes for carrying out the invention]

[0024] Preferred embodiments of the present invention will be described below with reference to the drawings. However, the embodiments described below do not limit the present invention, nor are the applicable forms of the present invention limited to these embodiments. Furthermore, identical elements are denoted by the same reference numerals in the drawings.

[0025] [System Configuration] Figure 1 shows an example of the configuration of the electrical equipment identification system 1 of this embodiment. As shown in Figure 1, the electrical equipment identification system 1 of this embodiment includes a current detection device 10 installed in the distribution board 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 that operate on electricity, and may include, for example, machine tools such as lathes, milling machines and presses, air conditioning equipment such as heating and cooling systems and ventilation systems, and lighting devices such as LEDs, fluorescent lamps and mercury lamps.

[0027] As shown in Figures 1 and 2, the distribution panel 50 constitutes a circuit that supplies power from the power source 3 to multiple electrical devices 2, and is installed inside and outside various facilities where the electrical devices 2 are installed. The distribution panel 50 consists of a main body 51 which is a metal box-shaped body, a metal door 52 which is pivotally attached to the front of the main body so as to be openable and closable, and a number of circuit breakers 53 which are arranged inside the main body 51. The power source 3 and each electrical device 2 are connected by power lines 54, and circuit breakers 53 for opening and closing the circuits are arranged along the power lines 54 to each electrical device 2.

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

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

[0030] The control device 20 has a resin control device body which is magnetically attached to the outside of the door section 52 by a magnetic material attached to the back surface of the control device body. Furthermore, the control device 20 includes a temperature measuring device 21, a storage unit 22, a control unit 23, a communication unit 24, and a power socket unit 25 for connecting the power cord 4, all located inside the control device body. The temperature sensor (not shown), which is the temperature measuring device 21, is positioned to measure the temperature of the air flowing in from the air intake (not shown) in order to measure the room temperature outside the control 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 from the user terminal 40, and transmits it to the cloud server 30. Furthermore, it also transmits the room temperature measured by the temperature measuring device 21 to the cloud server 30.

[0032] The control unit 23 consists of a central processing unit, also known as a CPU (Central Processing Unit), the communication unit 24 consists of a general network router, and the storage unit 22 includes ROM (Read Only Memory) and RAM (Random Access Memory), among other components.

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

[0034] The control device 20 and the current detection device 10 are connected by a connecting cable 70. Connectors 71, 71 are attached to both ends of the connecting cable 70, and the control device 20 and the current detection device 10 each have a connecting cable socket (not shown) that can be attached to and detached from the connectors 71, 71. The connecting cable 70 should be formed in a so-called flat shape, with its outer circumference flattened in a plane perpendicular to the longitudinal direction, so that it can be connected using the gap between the main body 51 and the door 52 of the distribution board 50 when the door 52 is closed.

[0035] The cloud server 30 is connected to the management device 20 and the user terminal 40 via a communication network 60, for example, the Internet. The cloud server 30 has a communication unit 31, a control unit 32, and a storage unit 33. The control unit 32 further includes an estimation unit 34 and a learning unit 35, and the storage unit 33 consists of a learning data unit 36, etc.

[0036] The control unit 32 consists of a central processing unit, also known as a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit), the communication unit 31 consists 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 storage unit 33 consists of a ROM (Read Only Memory) and a RAM (Random Access Memory), among other components.

[0037] The memory unit 33 stores the OS (Operating System) executed by the control unit 32, as well as various programs such as programs and applications that run this system, and data used by those 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 a management device 20 of another factory or facility where the electrical equipment identification system 1 of the present invention is already installed, with information about the electrical equipment identified by the operator, such as the name of the electrical equipment, manufacturer name, model number, and year of manufacture, and stores this learning data in the learning data unit 36.

[0039] The estimation unit 34 can estimate which electrical equipment 2 is connected to the circuit breaker 53 by identifying which of the learning data units 36 the power waveform data transmitted from the management device 20, which was installed when the electrical equipment identification system 1 of the present invention was set up, is closest to. For example, by using SVM (Support Vector Machine), one of the mechanisms of supervised machine learning, and training the training data in advance, a learning model can be created and the electrical equipment 2 can be estimated. Furthermore, the machine learning mechanism used is not limited to SVM, and any learning mechanism such as DNN (Deep Neural Network) or LSTM (Long Short Term Memory) 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 personal computer (PC), a mobile information terminal, a smartphone, or any other terminal that the user carries and uses, and is composed of a display unit 41, an input unit 42, a storage unit 43, a communication unit 44, a control unit 45, and the like.

[0042] The control unit 45 consists of a central processing unit, also known as a CPU (Central Processing Unit), the communication unit 44 is connected to a communication network 60 and includes LAN functionality for communicating with a cloud server 30, as well as short-range wireless communication functionality, the storage unit 43 includes ROM (Read Only Memory) and RAM (Random Access Memory), the input unit 42 consists of a keyboard with hard keys and a touch panel with software keys, and the display unit 41 consists of a liquid crystal display (LCD) and an electroluminescent display (OLED).

[0043] [System Processing Example] Next, we will describe an example of the process for identifying electrical equipment 2 connected to multiple circuit breakers 53 when installing the carbon dioxide information processing system shown in Figure 3.

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

[0045] Next, the operator operates the user terminal 40 to log in to the system's dedicated application via the internet, opens the channel (CH) setting screen of the user terminal 40 shown in Figure 6, and inputs voltage data for the breaker 53, which is the channel (CH) to be set, such as single-phase 100V, single-phase 200V, or three-phase 200V (step DSC003). The input voltage data is transmitted to the management device 20 via the cloud server 30, and the management device 20 generates power waveform data (step DSC004).

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

[0047] The estimated results of the outputted electrical equipment are displayed on the channel (CH) setting screen of the user terminal 40 (step DSC007). The operator compares the estimated electrical equipment results with the electrical equipment installed in the building where the electrical equipment identification system is installed, identifies the electrical equipment, and selects whether or not to adopt the estimated electrical equipment results. If the estimated electrical equipment results are 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 want to use the electrical equipment estimation result, they enter information on electrical equipment similar to the estimated electrical equipment and electrical equipment installed in the building on the channel (CH) setting screen of the user terminal 40 and press the complete button (step DSC008).

[0049] When the "Complete" button is pressed on the channel (CH) setting screen of the user terminal 40, the electrical equipment identification results are reflected and displayed on the carbon dioxide information processing system setting screen shown in Figure 7, and the process ends (step DSC009).

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

[0051] [Method for generating learning models] First, the current detection device 10 and the management device 20, which constitute the electrical equipment identification system 1 described above, are attached to the distribution board 50, and once the process of identifying the electrical equipment 2 is completed, the electrical equipment information is reflected on the installation screen of the carbon dioxide information processing system shown in Figure 7. Furthermore, the operator inputs usage information such as the installation location, the power company to be used, and the unit price of electricity. After further inputting settings such as the display period on the channel setting screen and completing the setup work for the carbon dioxide information processing system, the electrical equipment 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 from the management devices 20 at various facilities such as factories and offices to the cloud server 30 via the communication network 60.

[0053] The learning data is acquired by associating power waveform data generated by each management device 20 with electrical equipment information identified by the operator, such as the equipment name, manufacturer name, model number, and year of manufacture, and stored in the learning data unit 36. When power waveform data generated is transmitted from the management device 20, to which the electrical equipment identification system 1 is attached, to the cloud server 30 and input to the estimation unit, a learning model is generated to estimate the equipment name, manufacturer name, model number, 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, learning data is acquired that further associates the power waveform data generated by each management device 20 with the electrical equipment information identified by the operator, such as the equipment name, manufacturer name, model, and year of manufacture. This learning data is then further associated with the indoor temperature data measured by the indoor temperature measurement means and the installation address data entered by the operator, and the outdoor temperature data acquired via the internet from weather information for that address. This data is then stored in the learning data unit 36. When the generated power waveform data and indoor / outdoor temperature data are 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 34, a second 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.

[0055] As shown in Figures 4 and 5, the learning model of the present invention compares power waveform data of electrical equipment. Specifically, it can estimate the machine name, manufacturer name, model number, and year of manufacture of electrical equipment by using a learning model trained with accumulated learning data to analyze power waveform data formed by 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 energy consumption.

[0056] Furthermore, by inputting not only power waveform data but also outdoor temperature data for the installation address and indoor temperature data measured by an indoor temperature measurement device, and using a second learning model trained with accumulated training data, the estimation accuracy is particularly improved for electrical equipment such as air conditioning equipment, including cooling systems, heating systems, and blowers.

[0057] [Additional explanation] After identifying the electrical equipment, the carbon dioxide information processing system, when functioning, identifies the power generation method (wind, solar, thermal, hydro, nuclear, etc.) of the supplied electricity based on 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. It then obtains the carbon dioxide emission data of the power plant during power generation, which is published by the power company, via the internet. For each circuit breaker 53 where the carbon dioxide information processing system is installed, it calculates the relationship between the power consumption and carbon dioxide emissions of the channel (CH) and displays and monitors this relationship on the screens shown in Figures 4 and 5.

[0058] As described above, the best configuration, method, etc., for carrying out the present invention are disclosed in the above description, but the present invention is not limited thereto, and other embodiments, additions, changes, deletions, etc., can be made within the scope that a person skilled in the art can conceive, and any embodiment is included in the scope of the present invention as long as it achieves the function and effect of the present invention. Therefore, the present invention can provide not only the above-mentioned electrical equipment identification system, electrical equipment identification device, and method for executing the 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, although the above embodiment describes each user terminal and cloud server as a single unit, it is naturally possible to use multiple terminals, multiple servers, or even a supercomputer. [Explanation of symbols]

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

Claims

1. An electrical equipment identification system used when installing a carbon dioxide information processing system that determines carbon dioxide emissions based on the power consumption of electrical equipment obtained from current data flowing through power lines and input voltage data, Multiple circuit breakers are installed in a distribution panel, and each circuit breaker is connected to a power supply line that provides power to the electrical equipment, and current detection means is provided to detect the current flowing through the power line and transmit the detection result. An input means for the operator to input voltage data of the power line connected to the aforementioned breaker, A power waveform generation means generates power waveform data using the current data detected by the current detection means and the input voltage data, An estimation means for estimating the electrical equipment connected to each circuit breaker by inputting the power waveform data into a learning model, A display means for displaying the electrical equipment estimation results estimated by the estimation means on a user terminal operated by the operator, A receiving means that receives instructions from the operator to press the "Complete" button on the channel setting screen if the electrical equipment estimation result is to be adopted, or to enter information on a similar electrical equipment on the channel setting screen and press the "Complete" button if the result is not to be adopted, when the operator operates the user terminal. In response to the pressing of the completion button, a reflection means reflects the data identifying the electrical equipment received by the reception means onto the setting screen for installing the carbon dioxide information processing system. An electrical equipment identification system equipped with the following.

2. The aforementioned power distribution panel has an indoor temperature measuring means installed therein to measure the indoor temperature of the installation location, The indoor temperature data measured by the indoor temperature measuring means, The outside temperature data is obtained via the internet based on the installation address data entered by the operator, In addition to the power waveform data, an estimation means for estimating the electrical equipment connected to each circuit breaker by inputting the indoor temperature data and the outdoor temperature data into a learning model, The electrical equipment identification system according to claim 1, comprising:

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