WO2017047296A1

WO2017047296A1 - Teacher data provision device, estimation device, estimation system, teacher data provision method, estimation method and program

Info

Publication number: WO2017047296A1
Application number: PCT/JP2016/073570
Authority: WO
Inventors: 貴裕戸泉; 鈴木　亮太; 永典實吉; 滋河本
Original assignee: 日本電気株式会社
Priority date: 2015-09-17
Filing date: 2016-08-10
Publication date: 2017-03-23
Also published as: JP6724922B2; JPWO2017047296A1

Abstract

Provided is a teacher data provision device (10) which includes: an acquisition unit (11) that receives, from an estimation device (20), actual measurement data, which is measurement data of consumed current or consumed power measured by one or more electrical machines during operation, or a prescribed feature amount extracted from the actual measurement data; a teacher data selection unit (12) that selects, from within a database which has accumulated teacher data in which electrical machine identification information is associated with a feature amount included in the measurement data of consumed current or consumed power during electrical machine operation, teacher data which includes a feature amount that matches, or has at least a prescribed level of similarity to, the feature amount extracted from the actual measurement data; and an output unit (13) which returns the teacher data selected by the teacher data selection unit (12) to the estimation device (20).

Description

Teacher data providing apparatus, estimating apparatus, estimating system, teacher data providing method, estimating method, and program

The present invention relates to a teacher data providing apparatus, an estimating apparatus, an estimating system, a teacher data providing method, an estimating method, and a program.

An attempt has been made to grasp the operating state (power supply state, power consumption, etc.) of a plurality of monitored electrical devices. When the user grasps the operating state of the monitored electrical device, an effect such as energy saving is expected.

Patent Document 1 discloses a technique for extracting a feature amount from data detected by a measurement sensor installed in the vicinity of a feeder inlet, and estimating an operating state of each of a plurality of electrical devices based on the feature amount.

When estimating the operating state of the electrical device group to be monitored using the estimation technique disclosed in Patent Document 1, it is necessary to register teacher data in the estimation device in advance. The teacher data is data in which the identification information of each electrical device to be monitored is associated with the feature amount included in the measurement data (current consumption, power consumption, etc.) during operation.

Patent Documents 2 and 3 disclose techniques for registering teacher data.

Patent Literature 2 accepts user input of identification information (eg, product name, model number, serial number, etc.) of each electrical device to be monitored, and uses the identification information to determine the feature amount of the electrical device to be monitored. Is obtained from the electrical equipment feature quantity database.

In Patent Document 3, a feature amount is extracted from difference data between data before and after the value of measurement data changes by a predetermined level or more, and an input for selecting an electric device whose power is switched ON / OFF at that time is input. A technique for registering teacher data in which a feature quantity received and extracted from a user is associated with a selected electrical device is disclosed.

In addition, Patent Documents 4 to 6 disclose the following techniques.

Patent Document 4 discloses a power consumption storage unit that stores the states of components constituting a system and the power consumption of components in the state, a condition storage unit that stores conditions for transition of component states, and a system simulation. Generating means for generating a state sequence in which states are arranged in the order of transitions according to the conditions stored in the condition storage means, when the information indicating the state of the component is not notified from the simulator, and for each state constituting the state sequence A state column is composed of a ratio calculation means for calculating the ratio of the time at which the part is in the above state per unit time, and the product of the ratio calculated by the ratio calculation means and the power consumption stored in the power consumption storage means. There is disclosed a power consumption estimation device comprising: an estimation unit that obtains for each state to perform and estimates a total sum of obtained products as power consumption of a component.

Patent Document 5 discloses a consumed energy estimation device that estimates the consumed energy of a route section in which the target electric vehicle will travel in the future.

Patent Document 6 discloses a load calculation device that appropriately calculates a load on an electronic board.

Japanese Patent No. 3403368 JP 2010-210575 A JP 2015-21775 A JP 2013-242611 A JP 2014-107927 A JP 2008-241432 A

As described above, when estimating the operating state of a group of electrical devices to be monitored using the estimation technique disclosed in Patent Document 1, it is necessary to register teacher data in the estimation device in advance.

In the case of the technologies described in Patent Documents 2 and 3, it is necessary for the user to input identification information for each electrical device to be monitored. In the case of this means, the burden on the user increases as the number of electrical devices to be monitored increases.

This invention makes it a subject to provide the new technique for registering teacher data in the technique which estimates the operating state of the electrical equipment of monitoring object.

According to the present invention,
Acquisition means for acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electrical devices, or a predetermined feature amount extracted from the actual data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. Teacher data selection means for selecting the teacher data that includes the feature quantity that matches or is more than a predetermined level with the feature quantity;
Output means for outputting the teacher data selected by the teacher data selection means;
An apparatus for providing teacher data is provided.

Moreover, according to the present invention,
Actual measurement data acquisition means for acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
The estimation device output means for outputting the actual measurement data or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output means is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means;
Based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of the plurality of electrical devices;
An estimation device is provided.

Moreover, according to the present invention,
An estimation system having the teacher data providing apparatus and the estimation apparatus is provided.

Moreover, according to the present invention,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices from a plurality of measurement sensors;
Teacher data storage means for storing, for each measurement sensor, teacher data that associates the identification information of the electrical device with the feature amount included in the measurement data of current consumption or power consumption during operation of the electrical device;
For each measurement sensor, based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of a plurality of the electrical devices;
Acquisition means for acquiring the actual measurement data measured by the first measurement sensor or a predetermined feature amount extracted from the actual measurement data;
The teacher data storage unit matches the feature amount extracted from the actual measurement data acquired by the acquisition unit from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor. Or teacher data selection means for selecting the teacher data including the feature quantity that is more than a predetermined level;
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
An estimation device is provided.

Moreover, according to the present invention,
Actual measurement data acquisition means for acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
Teacher data storage means for storing teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption during operation of the electric device;
Based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of the plurality of electrical devices;
An acquisition unit that acquires the actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device;
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained by the obtaining means;
Output means for outputting the teacher data selected by the teacher data selection means to the other estimation device;
Is further provided.

Moreover, according to the present invention,
Computer
Acquisition means for acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. Teacher data selection means for selecting the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity,
Output means for outputting the teacher data selected by the teacher data selection means;
A program is provided that functions as:

Moreover, according to the present invention,
Computer
An acquisition step of acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual measurement data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. A teacher data selection step of selecting the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity;
An output step of outputting the teacher data selected in the teacher data selection step;
A method for providing teacher data is provided.

Moreover, according to the present invention,
Computer
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices;
The actual measurement data, or an estimation device output means for outputting a predetermined feature amount extracted from the actual measurement data,
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output means is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Teacher data receiving means for receiving,
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means;
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means;
A program is provided that functions as:

Moreover, according to the present invention,
Computer
An actual data acquisition step of acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
The estimation device output step for outputting the actual measurement data or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output step is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Receiving the teacher data; and
A teacher data storage step for accumulating the teacher data received in the teacher data reception step;
Based on the actual measurement data and the teacher data accumulated in the teacher data storage step, an estimation step for estimating operating states of a plurality of the electrical devices;
An estimation method for performing is provided.

Moreover, according to the present invention,
Computer
Measured data acquisition means for acquiring measured data of current consumption or power consumption measured during operation of one or more electrical devices from a plurality of measurement sensors;
Teacher data storage means for storing, for each measurement sensor, teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption during operation of the electric device,
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means for each measurement sensor;
Acquisition means for acquiring the actual measurement data measured by the first measurement sensor or a predetermined feature amount extracted from the actual measurement data;
The teacher data storage unit matches the feature amount extracted from the actual measurement data acquired by the acquisition unit from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor. Or teacher data selection means for selecting the teacher data including the feature quantity that is more than a predetermined level,
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
A program is provided that functions as:

Moreover, according to the present invention,
Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices from a plurality of measurement sensors;
A teacher data storage step of storing, in the storage means, for each measurement sensor, teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption while the electric device is in operation When,
For each measurement sensor, based on the actual measurement data and the teacher data accumulated in the storage means, an estimation step for estimating an operating state of a plurality of the electrical devices;
An acquisition step of acquiring the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
Matching or predetermined value with the feature amount extracted from the actual measurement data acquired in the acquisition step from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor in the storage means A teacher data selection step of selecting the teacher data including the feature quantity that is more than a level; and
An output step of outputting the teacher data selected in the teacher data selection step toward the storage means and storing the teacher data in association with the first measurement sensor;
An estimation method for performing is provided.

Moreover, according to the present invention,
Computer
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices;
Teacher data storage means for storing teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption during operation of the electric device;
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means;
Acquisition means for acquiring the actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained by the obtaining means,
Output means for outputting the teacher data selected by the teacher data selection means to the other estimation device;
A program is provided that functions as:

Moreover, according to the present invention,
Computer
An actual data acquisition step of acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
A teacher data storage step of storing in the storage means teacher data in which the identification information of the electric device and the feature amount included in the measurement data of current consumption or power consumption during operation of the electric device are associated;
Based on the actual measurement data and the teacher data stored in the storage means, an estimation step for estimating an operating state of a plurality of the electrical devices;
An acquisition step for acquiring the actual measurement data, or a predetermined feature amount extracted from the actual measurement data, from another estimation device;
A teacher that selects, from among the teacher data stored in the storage means, the teacher data that includes the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained in the obtaining step A data selection process;
An output step of outputting the teacher data selected in the teacher data selection step to the other estimation device;
An estimation method for performing is provided.

According to the present invention, a new technique for registering teacher data in a technique for estimating the operating state of an electrical device to be monitored is realized.

The above-described object and other objects, features, and advantages will be further clarified by a preferred embodiment described below and the following drawings attached thereto.

It is a figure which shows notionally an example of the hardware constitutions of the apparatus of this embodiment. It is a functional block diagram for demonstrating the application example of the estimation system of this embodiment. It is a functional block diagram for demonstrating the application example of the estimation system of this embodiment. It is an example of the functional block diagram of the estimation apparatus of this embodiment. It is a figure which shows typically an example of the teacher data accumulate | stored in the estimation apparatus of this embodiment. It is an example of the functional block diagram of the teacher data provision apparatus of this embodiment. It is a figure which shows typically an example of the teacher data accumulate | stored in the teacher data provision apparatus of this embodiment. It is a flowchart which shows an example of the flow of a process of the teacher data provision apparatus of this embodiment. It is an example of the functional block diagram of the teacher data selection part of this embodiment. It is a figure for demonstrating the example of a process of the similar group specific | specification part of this embodiment, and a selection part, and is a figure which shows an example of measurement data typically. It is a figure for demonstrating the example of a process of the similar group specific | specification part of this embodiment, and a selection part, and is a figure which shows typically an example of the teacher data accumulate | stored in the database. It is a figure for demonstrating the process example of the similar group specific | specification part of this embodiment, and a selection part, and is a figure which shows typically an example of the time-sequential data of the difference of measured data and the feature-value of teacher data. It is a figure for demonstrating the process example of the similar group specific | specification part of this embodiment, and a selection part, and is a figure which shows typically an example of the time-sequential data of the difference of measured data and the feature-value of teacher data. It is a figure for demonstrating the process example of the similar group specific | specification part of this embodiment, and a selection part, and is a figure which shows typically an example of the time-sequential data of the difference of measured data and the feature-value of teacher data. It is a flowchart which shows an example of the flow of a process of the teacher data selection part of this embodiment. It is a figure which shows typically an example of the similarity information which the teacher data provision apparatus of this embodiment provides. It is a figure which shows typically an example of the similarity information which the teacher data provision apparatus of this embodiment provides. It is a functional block diagram for demonstrating the application example of the estimation system of this embodiment. It is an example of the functional block diagram of the estimation apparatus of this embodiment. It is a functional block diagram for demonstrating the application example of the estimation system of this embodiment. It is a functional block diagram for demonstrating the application example of the estimation system of this embodiment. It is an example of the functional block diagram of the estimation apparatus of this embodiment.

First, an example of the hardware configuration of the apparatus (teacher data providing apparatus, estimation apparatus) of this embodiment will be described. Each unit included in the apparatus of the present embodiment is stored in a CPU (Central Processing Unit), a memory, a program loaded into the memory, a storage unit such as a hard disk storing the program (from the stage of shipping the apparatus in advance). It can also store programs downloaded from CDs (Compact Discs) and other servers and servers on the Internet), and any combination of hardware and software, centering on the network connection interface Realized. It will be understood by those skilled in the art that there are various modifications to the implementation method and apparatus.

FIG. 1 is a diagram conceptually illustrating an example of a hardware configuration of a device (teacher data providing device, estimation device) of the present embodiment. As shown in the figure, the apparatus of this embodiment includes, for example, a CPU 1A, a RAM (Random Access Memory) 2A, a ROM (Read Only Memory) 3A, a communication unit 8A, an auxiliary storage device 9A, and the like that are connected to each other via a bus 10A. Have. Note that the apparatus of the present embodiment may further include a display control unit 4A, a display 5A, an operation reception unit 6A, an operation unit 7A, and the like. Although not shown, the apparatus according to the present embodiment may include other elements such as a microphone and a speaker. In addition, some of the illustrated elements may not be included.

CPU 1A controls the entire computer of the apparatus together with each element. The ROM 3A includes an area for storing programs for operating the computer, various application programs, various setting data used when these programs operate. The RAM 2A includes an area for temporarily storing data, such as a work area for operating a program. The auxiliary storage device 9A is an HDD (Hard Disk Disk Drive), for example, and can store a large amount of data.

The display 5A is, for example, a display device (LED (Light Emitting Diode) display, liquid crystal display, organic EL (Electro Luminescence) display, etc.). The display 5A may be a touch panel display integrated with a touch pad. The display control unit 4A reads data stored in a VRAM (Video RAM), performs predetermined processing on the read data, and then sends the data to the display 5A to display various screens. The operation reception unit 6A receives various operations via the operation unit 7A. The operation unit 7A includes operation keys, operation buttons, switches, a jog dial, a touch panel display, a keyboard, and the like. The communication unit 8A is wired and / or wirelessly connected to a network such as the Internet or a LAN (Local Area Network) and communicates with other electronic devices. Further, the communication unit 8A can directly communicate with another electronic device by wire and / or wireless to perform communication.

Hereinafter, this embodiment will be described. Note that the functional block diagram used in the following description of the embodiment shows functional unit blocks rather than hardware unit configurations. In these drawings, each device is described as being realized by one device, but the means for realizing it is not limited to this. That is, it may be a physically separated configuration or a logically separated configuration. In addition, the same code | symbol is attached | subjected to the same component and description is abbreviate | omitted suitably.

<First Embodiment>
First, an outline of the present embodiment will be described. The estimation system according to the present embodiment includes an estimation device that estimates an operating state of an electrical device to be monitored, and a teacher data provision device that provides teacher data to the estimation device.

The estimation apparatus includes “teacher data in which identification information of each electrical device to be monitored is associated with feature amounts included in measurement data (consumption current, power consumption, etc.) during operation” and “predetermined position ( Example: Estimate the operating state of the electrical equipment to be monitored based on the current consumption or power consumption measurement data (actual measurement data) actually measured by the measurement sensor installed on the distribution board). The electrical device to be monitored is one or more electrical devices that receive power supply downstream from the installation position of the measurement sensor.

The estimation device acquires teacher data for performing the above estimation processing from the teacher data providing device and registers it in the own device. Specifically, the estimation device transmits actual measurement data measured by the measurement sensor or feature amounts extracted from the actual measurement data to the teacher data providing device, and requests teacher data. Then, the estimation device acquires the teacher data transmitted from the teacher data providing device in response to the request and registers it in the own device. Thereafter, the estimation device estimates the operating state of the electrical device to be monitored using the teacher data acquired from the teacher data providing device and registered in the own device.

The teacher data providing device stores a plurality of “teacher data in which identification information of each monitored electrical device is associated with feature quantities included in measurement data (current consumption, power consumption, etc.) during operation” Yes. That is, the teacher data providing apparatus stores teacher data related to a plurality of electrical devices.

Upon receiving the teacher data request from the estimation device, the teacher data providing device selects the teacher data including the received feature amount or the feature amount that matches or is similar to the feature amount extracted from the received actual measurement data. . Then, the teacher data providing apparatus transmits the selected teacher data to the estimation apparatus.

According to the present embodiment described above, the estimation device can acquire teacher data of an appropriate electrical device (monitored electrical device) based on the actual measurement data measured by the measurement sensor. As a result, it is possible to reduce the user burden regarding preparation of teacher data.

Next, an application example of the estimation system of this embodiment will be described using the functional block diagram of FIG.

The monitoring target 1 is a power consumer who uses a plurality of electric devices (not shown), and receives a service for monitoring the operating state of these electric devices. The monitoring target 1 is, for example, one household, one company, one department in the company, one store, one factory, but is not limited thereto.

Each of the plurality of monitoring targets 1 manages the router 30, the user terminal 40, the information collection device 50, and the measurement sensor 60. The devices managed by each monitoring target 1, the teacher data providing device 10, and the estimation device 20 are connected to each other via a network 2 such as the Internet and can transmit and receive information. In the case of the example, the teacher data providing device 10 and the estimation device 20 are servers.

The measurement sensor 60 is installed at a predetermined position and continuously measures instantaneous waveform data of current consumption or power consumption (waveform data corresponding to the AC frequency) at predetermined time intervals. One measurement sensor 60 may be installed corresponding to one monitoring object 1, or a plurality of measurement sensors 60 may be installed. For example, the measurement sensor 60 may be installed in a distribution board and measure instantaneous waveform data of current consumption or power consumption of the entire monitoring target 1. In addition, the measurement sensor 60 may be installed for each branch of the distribution board, and may measure instantaneous waveform data of current consumption or power consumption for each branch. In addition, the measurement sensor 60 may be installed in each of a plurality of outlets, and may measure instantaneous waveform data of current consumption or power consumption for each outlet. In addition, the installation position of the measurement sensor 60 illustrated here is an example, and is not limited to this.

Hereinafter, instantaneous waveform data (measurement data) of current consumption or power consumption measured by the measurement sensor 60 is referred to as “measured data” or “measured data of current consumption or power consumption”.

The information collection device 50 acquires time-series actual measurement data measured by the measurement sensor 60. The information collection device 50 transmits all or part of the actual measurement data to the estimation device 20 via the router 30.

In the case of the example in FIG. 2, the estimation device 20 is a server. The estimation device 20 receives actual measurement data from each of the plurality of monitoring targets 1.

The estimation device 20 transmits the received actual measurement data or the feature amount extracted from the actual measurement data to the teacher data providing device 10 and requests teacher data. The teacher data returned from the teacher data providing apparatus 10 is managed for each monitoring target 1.

Further, the estimation device 20 estimates the operating state of the electrical equipment in each monitoring target 1 based on the teacher data managed for each monitoring target 1 and the actual measurement data received from each monitoring target. And an estimation result is transmitted to the user terminal 40 of each monitoring object 1, information collection apparatus 50 grade | etc.,.

The user confirms the operating state (estimation result) of the electrical equipment via the user terminal 40 and the information collecting device 50.

Here, another example of the application example of the estimation system of the present embodiment will be described using the functional block diagram of FIG.

3 is different from the example in FIG. 2 in that an estimation device 20 is provided for each monitoring target 1. In the case of the example of FIG. 3, the estimation device 20 may be physically integrated with the user terminal 40 or the information collection device 50 or may be physically separated. The estimation device 20 of the example is different from the example of FIG. 2 in that only the teacher data of the monitoring target 1 to which the own device belongs is managed and only the operating state of the electrical equipment in the monitoring target 1 to which the own device belongs is estimated. Other configurations are the same.

Next, the configuration of the estimation device 20 will be described in detail. In FIG. 4, an example of the functional block diagram of the estimation apparatus 20 is shown. As illustrated, the estimation device 20 includes an actual measurement data acquisition unit 21, an estimation device output unit 22, a teacher data reception unit 23, a teacher data storage unit 24, and an estimation unit 25.

Preparation for estimating the operating state of the electrical equipment by the cooperative operation of the actual measurement data acquisition unit 21, the estimation device output unit 22, the teacher data reception unit 23, and the teacher data storage unit 24, that is, to the teacher data storage unit 24 Teacher data is registered. And the process which estimates the operation state of an electric equipment is performed by the operation | movement which the actual measurement data acquisition part 21, the teacher data memory | storage part 24, and the estimation part 25 cooperated.

The actual measurement data acquisition unit 21 acquires actual measurement data of current consumption or power consumption measured while one or more electric devices are operating. The actual measurement data acquisition unit 21 acquires actual measurement data measured by the above-described measurement sensor 60 (see FIGS. 2 and 3).

The estimation device output unit 22 transmits the actual measurement data acquired by the actual measurement data acquisition unit 21 or a predetermined feature amount extracted from the actual measurement data to the teacher data providing device 10 (output).

There are various feature quantities extracted from the measured data. For example, the frequency intensity / phase (harmonic component) of the current consumption, phase, change in current consumption, average value, peak value, effective value, crest factor, waveform rate, It may be the convergence time of current change, energization time, peak position, time difference between the peak position of power supply voltage and the peak position of current consumption, power factor, instantaneous waveform itself, and the like. It is not limited to the illustration here. Note that one type of feature value may be extracted from the actually measured data, or a plurality of types of feature values may be extracted.

The teacher data receiving unit 23 returns the “identification information of the electric device and the characteristic amount included in the measurement data (instantaneous waveform data) of the current consumption or the power consumption while the electric device is in operation, returned from the teacher data providing device 10. "Teacher data associated with" is received.

The teacher data storage unit 24 stores the teacher data received by the teacher data receiving unit 23. The teacher data is registered by storing the teacher data in the teacher data storage unit 24. FIG. 5 schematically shows an example of teacher data stored in the teacher data storage unit 24. In the example illustrated, the electrical device ID (identification) to be monitored is associated with the feature amount included in the measurement data while each electrical device is operating. The electric device ID may be one or a combination of two or more of the model number, model name, manufacturer, and the like.

There may be a plurality of teacher data for each electrical device. For example, the power consumption value range of each electric device (eg, 0 W or more and 1000 W or less) is divided into a plurality of groups (eg: 10 equals in units of 100 W), and each group has a representative power value (eg, intermediate value), A plurality of teacher data in which the feature amount included in the measurement data is associated with each power consumption value band can be considered.

The estimation unit 25 estimates the operating states of a plurality of electrical devices based on the actual measurement data acquired by the actual measurement data acquisition unit 21 and the teacher data stored in the teacher data storage unit 24. As the estimation means by the estimation unit 25, any means according to the conventional technique can be adopted, and an example will be described below.

First, the estimation unit 25 arbitrarily combines a plurality of monitoring target electric devices, and adds the feature amounts included in the teacher data, thereby including the feature amounts included in the measurement data while the plurality of monitoring target electric devices are in operation. Create teacher data including

Thereafter, the estimation unit 25 generates an estimation model by machine learning using the teacher data accumulated in the teacher data storage unit 24 and the teacher data created by adding together as described above. And the estimation part 25 can acquire an estimation result (operating state of the electric equipment of a monitoring object) by inputting the feature-value extracted from actual measurement data into the produced | generated estimation model. As the estimation model, for example, a multiple regression analysis, a neural network, a hidden Markov model, or the like can be used.

The estimation result by the estimation unit 25 is transmitted to the user terminal 40, the information collection device 50 (see FIGS. 2 and 3), and the like.

Next, the configuration of the teacher data providing apparatus 10 will be described in detail. FIG. 6 shows an example of a functional block diagram of the teacher data providing apparatus 10. As illustrated, the teacher data providing apparatus 10 includes an acquisition unit 11, a teacher data selection unit 12, and an output unit 13. In this embodiment, the teacher data providing apparatus 10 is a server located on a network such as the Internet, and returns appropriate teacher data in response to a request for teacher data from the estimation apparatus 20.

The acquisition unit 11 acquires actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual measurement data. The acquisition unit 11 according to the present embodiment receives actual measurement data or feature amounts from the estimation device 20.

The teacher data selection unit 12 is a database (hereinafter simply referred to as “a”) that stores a plurality of teacher data in which identification information of an electrical device is associated with feature amounts included in the measurement data of current consumption or power consumption while the electrical device is in operation. From the “database”), teacher data is selected that includes a feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the measured data.

FIG. 7 schematically shows an example of teacher data stored in the database. In the illustrated example, the electric device ID (identification) is associated with the feature amount included in the measurement data while each electric device is in operation. There may be a plurality of teacher data for each electrical device. For example, the power consumption value range of each electric device (eg, 0 W or more and 1000 W or less) is divided into a plurality of groups (eg: 10 equals in units of 100 W), and each group has a representative power value (eg, intermediate value), A plurality of teacher data in which the feature amount included in the measurement data is associated with each power consumption value band can be considered.

The database preferably stores teacher data covering many, preferably most, more preferably all of the electrical devices in the market.

The teacher data selection unit 12 compares the feature amount extracted from the actual measurement data acquired by the acquisition unit 11 with the feature amount of each of the plurality of teacher data stored in the database, and matches or is a feature that is more than a predetermined level. Select teacher data including quantity. For example, the difference between the feature quantity extracted from the actual measurement data and the feature quantity of each of the plurality of teacher data stored in the database by a predetermined calculation method (design matter) (eg, root mean square of the difference, etc.) May be selected, and teacher data including a feature amount whose difference is smaller than a predetermined level may be selected.

By the way, the actual measurement data acquired by the acquisition unit 11 may include components of a plurality of electrical devices. Therefore, the teacher data selection unit 12 arbitrarily combines the feature amounts of the plurality of teacher data stored in the database, adds the feature amounts, and the feature amount extracted from the actual measurement data acquired by the acquisition unit 11. Further comparison may be made. When the added feature quantity and the feature quantity extracted from the actual measurement data acquired by the acquisition unit 11 match or are more than a predetermined level, the teacher data selection unit 12 includes a plurality of feature quantities each including the added feature quantity. Teacher data can be selected. Similarly, when the acquisition unit 11 acquires a feature value, components of a plurality of electrical devices can be included. Also in this case, teacher data can be selected by the above-described processing.

When the acquisition unit 11 acquires actual measurement data, the teacher data selection unit 12 is configured to extract a predetermined feature amount from the actual measurement data.

The output unit 13 outputs the teacher data selected by the teacher data selection unit 12. The output unit 13 of the present embodiment returns the teacher data selected by the teacher data selection unit 12 to the estimation device 20.

Next, an example of the processing flow of the teacher data providing apparatus 10 of this embodiment will be described using the flowchart of FIG.

First, the acquisition unit 11 estimates an actual measurement data that is measurement data of current consumption or power consumption measured while one or a plurality of electric devices are operating, or a predetermined feature amount extracted from the measurement data 20. (S10).

After that, the teacher data selection unit 12 selects from the database in which a plurality of pieces of teacher data in which the identification information of the electrical device is associated with the feature amount included in the measurement data of the current consumption or the power consumption while the electrical device is in operation , Teacher data including a feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data received in S10 is selected (S11).

Thereafter, the output unit 13 returns the teacher data selected by the teacher data selection unit 12 in S11 to the estimation device 20 (S12).

When the teacher data providing apparatus 10 of the present embodiment described above receives a request for teacher data together with actual measurement data from the estimation apparatus 20 or a predetermined feature amount extracted from the actual measurement data, the teacher data provision apparatus 10 is extracted from the actual measurement data. Teacher data including a feature quantity that matches or is similar to the feature quantity is returned.

By cooperating with such a teacher data providing device 10, the estimation device 20 of the present embodiment can acquire teacher data of an electrical device to be monitored based on actual measurement data acquired from the measurement sensor 60. In the case of this embodiment, unlike the prior art, it is not necessary for the user to input identification information (e.g., model number) or the like of the electrical device to be monitored. As a result, it is possible to reduce the user burden regarding registration of teacher data.

<Second Embodiment>
The present embodiment is different from the first embodiment in the configuration of the teacher data selection unit 12 of the teacher data providing apparatus 10. Other configurations of the teacher data providing apparatus 10 and the configuration of the estimation apparatus 20 are the same as those in the first embodiment.

An example of a functional block diagram of the teacher data providing apparatus 10 of the present embodiment is shown in FIG. 6 as in the first embodiment.

The acquisition unit 11 acquires time-series measured data or time-series feature data extracted from the time-series measured data. The time interval of time series data is a design matter.

FIG. 9 shows an example of a functional block diagram of the teacher data selection unit 12 of the present embodiment. As illustrated, the teacher data selection unit 12 includes a similar group identification unit 14 and a selection unit 15.

The similar group specifying unit 14 (design item, for example, design item, for example: one hour, one day, one week) extracted from time-series measured data for a predetermined time. 1 hour, 1 day, 1 week)) is used as processing target data. Then, the similar group specifying unit 14 matches the feature amount included in the first teacher data that is one of the teacher data stored in the database from the processing target data, or is similar to a predetermined level or more. The zone is specified as the first time zone. When the acquisition unit 11 acquires time-series measured data, the similar group specifying unit 14 is configured to extract time-series feature amount data from the measured data.

Then, the selection unit 15 selects the first teacher data as the teacher data output by the output unit 13.

In addition, after the first time zone is specified, the similar group specifying unit 14 includes the feature amount included in the second teacher data different from the first teacher data from the processing target data excluding the first time zone. Or a time period that is similar to or greater than a predetermined level, or a time period that is equal to or equal to a feature quantity that is the sum of the feature quantity included in the first teacher data and the feature quantity included in the second teacher data The zone is specified as the second time zone.

Then, the selection unit 15 selects the second teacher data as the teacher data output by the output unit 13.

In addition, after the Nth time zone is specified, the similar group specification unit 14 determines the (N + 1) th (N + 1) th different from the first to Nth teacher data from the processing target data excluding the first to Nth time zones. A feature amount that is the same as or equal to or more than a predetermined level in the feature data included in the teacher data, or a feature amount that is obtained by arbitrarily combining the feature amounts included in the first to Nth teacher data and the (N + 1) th feature data A time zone that matches or is similar to a feature amount included in the teacher data and added to the feature amount is specified as the (N + 1) th time zone.

Then, the selection unit 15 selects the (N + 1) th teacher data as the teacher data output by the output unit 13.

Here, although the specific example of the process mentioned above of the similar group specific | specification part 14 and the selection part 15 is demonstrated using FIG. 10 thru | or FIG. 12, an implementation | achievement means is not limited to this.

For example, it is assumed that the similar group specifying unit 14 sets the measurement data for two hours from 7:00 on July 10, 2015 to 9:00 on July 10, 2015 as processing target data shown in FIG. . The operating state of the monitored electrical equipment group from the start point (July 10, 2015, 7:00) to the timing A is constant, and actual measurement data (instantaneous waveform data) during this period is shown in the figure. Similarly, the operation state of the electrical device group to be monitored from timing A to timing B, from timing B to timing C, and from timing C to the end point (July 10, 2015, 9:00) Is constant, and actual measurement data (instantaneous waveform data) between them is shown in the figure.

FIG. 11 shows a plurality of teacher data stored in the database. In the illustrated example, the model number (electric device ID) of the electric device and the instantaneous waveform data (feature amount) included in the measurement data while each electric device is operating are registered.

The similar group specifying unit 14 extracts, for example, one of the teacher data stored in the database, and the difference between the extracted feature value of the teacher data and the feature value of each point of the processing target data (example: The root mean square of the difference, etc., and so on) is calculated. As a result, time-series data as shown in FIG. 12 is obtained. FIG. 12 shows time-series data of the difference between the actual measurement data (processing target data) shown in FIG. 10 and the feature amount of the electric equipment ID “X32-1819BB” shown in FIG.

When there is a time zone in which the difference value is smaller than the predetermined value in the obtained time-series data of the difference, the similar group specifying unit 14 specifies the time zone as the first time zone. Then, the selection unit 15 selects the extracted teacher data as the first teacher data. In the case of the example of FIG. 12, the difference from the start point (July 10, 2015, 7:00) to timing A, and the timing C to the end point (July 10, 2015, 9:00) Less than a predetermined value R. For this reason, the similar group specification part 14 specifies the said time slot | zone as a 1st time slot | zone. Then, the selection unit 15 selects the teacher data of the extracted electrical device ID “X32-1819BB” as the first teacher data.

On the other hand, if there is no time zone in which the difference value is smaller than the predetermined value R, the similar group specifying unit 14 newly extracts other teacher data from the database and repeats the same processing.

After specifying the first time zone, the similar group specifying unit 14 newly extracts other teacher data from the database. Then, the difference between the extracted feature value of the teacher data and the feature value of each point of the processing target data excluding the first time zone is calculated. In addition, a difference between the feature value of the extracted teacher data, the feature value obtained by adding the feature values of the first teacher data, and the feature value of each point of the processing target data excluding the first time zone is calculated.

As a result, time-series data as shown in FIGS. 13 and 14 is obtained. FIG. 13 is time-series data of the difference between the actual measurement data (processing target data) shown in FIG. 10 and the feature amount of the electric equipment ID “AB-3819” shown in FIG. FIG. 14 shows the “actual measurement data (processing target data) shown in FIG. 10”, the feature quantity of the electric equipment ID “AB-3819” shown in FIG. 11 and the feature quantity of the electrical equipment ID “X32-1819BB” (first The time-series data of the difference from the “feature value obtained by adding together the feature quantity of the teacher data”. The first time zone is marked with a cross and clearly indicates that it is not a processing target.

Then, when there is a time zone in which the difference value is smaller than the predetermined value R in the obtained time-series data of the differences, the similar group specifying unit 14 specifies the time zone as the second time zone. Then, the selection unit 15 selects the extracted teacher data as second teacher data.

In the example of FIG. 13, there is no time zone in which the difference is smaller than the predetermined value R. However, in the example of FIG. 14, the difference from timing A to timing B is smaller than the predetermined value R. For this reason, the similar group specification part 14 specifies from the timing A to the timing B as a 2nd time slot | zone. Then, the selection unit 15 selects the teacher data of the electric device ID “AB-3819” as the second teacher data.

Thereafter, the same processing is repeated until a predetermined timing. For example, “there is no time zone that is not specified in the processing target data” or “the teacher data that is not selected as a reply target does not have the difference smaller than the predetermined value R (that is, returns). The same processing is repeated until “not suitable as teacher data” is satisfied.

Next, an example of the processing flow of the teacher data selection unit 12 will be described using the flowchart of FIG.

First, the similar group specifying unit 14 specifies time-series feature amount data for a predetermined time as processing target data (S20).

After that, the similar group specifying unit 14 specifies, as the first time zone, a time zone that matches the feature amount included in the first teacher data or is similar to a predetermined level or more from the processing target data (S21).

Then, the selection unit 15 selects the first teacher data as the teacher data output by the output unit 13 (S22).

Thereafter, the similar group specifying unit 14 determines whether a predetermined stop condition is satisfied (S23). For example, as described above, the predetermined stop condition is “the time period that is not specified in the processing target data does not exist” or “the teacher data that is not selected as the reply target has the above-mentioned difference. It may be “satisfying“ not smaller than value R ”. If the predetermined stop condition is satisfied (Yes in S23), the process is terminated.

When the predetermined stop condition is not satisfied (No in S23), the similar group specifying unit 14 determines that “the feature amount of the Nth teacher data not selected in S22” or “the teacher selected in S22 so far”. Specify a time zone that matches or is similar to a feature level that is equal to or greater than a predetermined level as the Nth time zone. (S24).

Then, the selection unit 15 selects the Nth teacher data as the teacher data output by the output unit 13 (S25). Then, it returns to S23 and repeats the same process.

According to the present embodiment described above, the same operational effects as those of the first embodiment can be realized.

Further, in the present embodiment, measured data for a predetermined time can be processed at a time, and teacher data of a plurality of electric devices that have been operating during that time can be selected. For this reason, teacher data can be registered efficiently.

<Third Embodiment>
The output unit 13 of the teacher data providing apparatus 10 according to the present embodiment calculates the similarity between the feature amount of the teacher data selected by the teacher data selection unit 12 and the feature amount extracted from the actual measurement data received by the acquisition unit 11. Further output (eg, reply to the estimation device 20).

The output unit 13 further outputs a similarity between the feature amount of the teacher data different from the teacher data selected by the teacher data selection unit 12 and the feature amount extracted from the actual measurement data received by the acquisition unit 11 (for example: (Reply to the estimation device 20).

Other configurations of the teacher data providing apparatus 10 are the same as those in the first and second embodiments.

The estimation device 20 is different from the first and second embodiments in that the similarity is received from the teacher data providing device 10 and presented to the user. Other configurations of the estimation device 20 are the same as those in the first and second embodiments. The method of presenting the degree of similarity to the user is not particularly limited, and can be realized via any output device such as a display, a printer, a mailer, or the like.

The similarity may be, for example, the difference described in the first and second embodiments, or may be another value calculated based on the difference.

FIG. 16 shows an example of the degree of similarity presented to the user. In the case of the example in the figure, the feature amount of the teacher data selected by the teacher data selection unit 12 and the similarity between the feature amounts of other teacher data are shown. Teacher data 1 is the teacher data selected by the teacher data selection unit 12, and teacher data 2 to 5 are other teacher data.

As shown in FIG. 17, the reliability of each teacher data may be displayed together with the similarity. Furthermore, a threshold value for determining reliability may be displayed. Reliability is determined based on the similarity. In the case of the example in FIG. 17, the reliability is “low” when the threshold value is 1 or less, the reliability is “medium” when the threshold value is 2 or less than the threshold value 1, and the reliability is “high” when the threshold value is greater than 2.

According to the present embodiment described above, the user confirms the similarity so that the reliability of the teacher data automatically selected by the teacher data providing apparatus 10, in other words, the teacher by the teacher data providing apparatus 10. The reliability of the data selection process can be grasped.

When the similarity is low and the reliability is low, the user can perform maintenance such as discarding the teacher data and re-acquiring the teacher data of the target electric device. For example, the user may manually register the teacher data of the electric device using the means disclosed in Japanese Patent No. 4433890.

As shown in FIG. 16 and FIG. 17, not only the similarity of the feature amount of the teacher data selected by the teacher data selection unit 12 but also the similarity of the feature amount of other teacher data is displayed together, so that the user Can grasp the reliability of the teacher data automatically selected by the teacher data providing apparatus 10 while comparing with other results.

In addition, as shown in FIG. 17, the reliability itself determined based on a predetermined standard and the threshold value for determining the reliability are displayed together, so that the user can easily and automatically use the teacher data providing apparatus 10. It is possible to grasp the reliability of the selected teacher data.

According to the present embodiment described above, it is possible to automatically register (register in the estimation device 20) the teacher data of the electrical device to be monitored with the configuration shown in the first and second embodiments. And as shown in this embodiment, the information for determining the reliability of the automatically selected teacher data can be provided to the user.

In the case of the present embodiment, first, the user automatically registers the teacher data of the electrical device to be monitored (registered in the estimation device 20) using the configuration shown in the first and second embodiments, Thereafter, the teacher data can be registered in a procedure of re-registering a part of the teacher data as necessary while confirming the reliability of each teacher data. Thus, according to the present embodiment, it is possible to greatly reduce the burden on the user as compared with the prior art that requires input of identification information of all the electrical devices to be monitored.

This embodiment is different from the first to third embodiments in that the estimation device 20 functions as the teacher data providing device 10. Note that the configurations of the teacher data providing apparatus 10 and the estimation apparatus 20 are the same as those in the first to third embodiments.

The estimation system of this embodiment will be described using the functional block diagram of FIG. As shown in the figure, the estimation device 20 has the function of the teacher data providing device 10.

In the present embodiment, there are a plurality of measurement sensors 60 corresponding to one monitoring object 1. This embodiment is suitable for the monitoring target 1 (electric power consumer) having a large number of electric devices to be used, such as one company, one department in the company, one store, one factory, and the like.

The estimation device 20, the user terminal 40, the information collection device 50, and the plurality of measurement sensors 60 are connected as shown in the figure to transmit and receive information. In addition, the connection method between apparatuses is a design matter.

The plurality of measurement sensors 60 are installed, for example, for each branch of the distribution board. The estimation device 20 registers teacher data for each measurement sensor 60, and estimates operating states of a plurality of electrical devices for each measurement sensor 60 based on the teacher data and measurement data acquired from each measurement sensor 60.

In this embodiment, a large number of electrical devices used by one monitoring target 1 can be grouped for each measurement sensor 60, and the operating state of the electrical device can be estimated for each group.

Next, a process in which the estimation device 20 of the present embodiment registers teacher data for each measurement sensor 60 will be described. For example, the estimation device 20 can acquire the teacher data registered in association with the first measurement sensor 60 from the teacher data registered in association with the other measurement sensors 60.

That is, when the estimation device 20 acquires the feature amount (processing target feature amount) extracted from the actual measurement data measured by the first measurement sensor 60, the teacher data registered in association with the other measurement sensors 60. To identify teacher data including a feature quantity that matches or is more than a predetermined level with the processing target feature quantity. Then, the estimation device 20 registers the identified teacher data in association with the first measurement sensor 60.

FIG. 19 shows an example of a functional block diagram of the estimation device 20 of the present embodiment. Each part functions as follows.

The actual measurement data acquisition unit 21 acquires actual measurement data of current consumption or power consumption measured during operation of one or a plurality of electric devices from each of the plurality of measurement sensors 60. The teacher data storage unit 24 accumulates, for each measurement sensor 60, teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. The estimation unit 25 estimates the operating states of a plurality of electrical devices for each measurement sensor 60 based on the actual measurement data acquired by the actual measurement data acquisition unit 21 and the teacher data stored in the teacher data storage unit 24.

The acquisition unit 11 acquires the actual measurement data measured by the first measurement sensor 60 or the predetermined feature amount extracted from the actual measurement data from the actual measurement data acquisition unit 21. The teacher data selection unit 12 is extracted from the actual measurement data acquired by the acquisition unit 11 from the teacher data stored corresponding to the measurement sensor 60 different from the first measurement sensor 60 in the teacher data storage unit 24. Teacher data including a feature quantity that matches or is more than a predetermined level is selected. The output unit 13 outputs the teacher data selected by the teacher data selection unit 12 toward the teacher data storage unit 24 and stores the teacher data in association with the first measurement sensor 60.

According to the present embodiment described above, the same operational effects as those of the first to third embodiments can be realized.

“The estimation device 20 registers teacher data for each measurement sensor 60 and estimates the operating states of a plurality of electrical devices for each measurement sensor 60 based on the teacher data and the measurement data acquired from each measurement sensor 60. ”Is extracted from teacher data registered in association with a certain measurement sensor 60 as appropriate teacher data to be registered in association with another measurement sensor 60. It can be registered in association with the sensor 60. That is, the estimation device 20 can function as a teacher data providing server.

By the way, within a certain monitoring target (eg, within one company), electric devices (eg, air conditioners, telephones, photocopiers, etc.) having the same model number are often used in a plurality of rooms or departments. For this reason, the teacher data that should be registered in association with each of the plurality of measurement sensors 60 tends to include common data. For this reason, by acquiring the teacher data registered in association with a certain measurement sensor 60 from the teacher data managed in association with other measurement sensors 60, the teacher data is efficiently collected. Can register.

In the case of this embodiment, it is not necessary to provide a server that functions as the teacher data providing apparatus 10. For this reason, the installation burden and management burden of the server can be reduced.

<Fifth Embodiment>
This embodiment is different from the first to third embodiments in that the estimation device 20 functions as the teacher data providing device 10. Note that the configurations of the teacher data providing apparatus 10 and the estimation apparatus 20 are the same as those in the first to third embodiments.

The estimation device 20, the user terminal 40, the information collection device 50, and the measurement sensor 60 are connected as shown in the figure to transmit and receive information. In addition, the connection method between apparatuses is a design matter.

Next, a process in which the estimation device 20 of the present embodiment registers teacher data will be described. The estimation apparatus 20 according to the present embodiment can acquire teacher data from another estimation apparatus 20 ′ and register it in the own apparatus.

That is, when the estimation device 20 acquires the feature amount (processing target feature amount) extracted from the actual measurement data measured by the measurement sensor 60, the estimation device 20 transmits the feature amount to the other estimation device 20 ′. The other estimation device 20 ′ that has received the processing target feature value searches for the teacher data registered in its own device, and specifies teacher data that includes a feature value that matches or is more than a predetermined level with the processing target feature value. Then, the other estimation device 20 ′ returns the identified teacher data to the estimation device 20. The estimation device 20 registers the received teacher data in its own device. In the case of this example, another estimation apparatus 20 ′ functions as a teacher data providing server.

FIG. 21 shows a functional block diagram of a modification of the present embodiment. 20 differs from FIG. 20 in that there is a server functioning as the teacher data providing apparatus 10 on the network. That is, in the case of the modification, the estimation device 20 can acquire the teacher data to be registered in the own device from either the server or the other estimation device 20.

FIG. 22 shows an example of a functional block diagram of the estimation device 20 of the present embodiment. Each part functions as follows.

The actual measurement data acquisition unit 21 acquires actual measurement data of current consumption or power consumption measured while one or more electric devices are operating. The teacher data storage unit 24 accumulates teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. The estimation unit 25 estimates operating states of a plurality of electrical devices based on the actually measured data and the teacher data stored in the teacher data storage unit 24.

The obtaining unit 11 obtains actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device 20. The teacher data selection unit 12 selects, from the teacher data storage unit 24, teacher data including a feature amount that matches or is similar to a feature amount extracted from the actual measurement data acquired by the acquisition unit 11. The output unit 13 outputs the teacher data selected by the teacher data selection unit 12 to another estimation device 20.

In the case of the example in FIG. 20, it is not necessary to provide a server that functions as the teacher data providing apparatus 10. For this reason, the installation burden and management burden of the server can be reduced.

In the example of FIG. 21, the server and the estimation device 20 function as the teacher data providing device 10. For this reason, the processing burden on the server can be reduced.

Hereinafter, examples of the reference form will be added.
1. Acquisition means for acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electrical devices, or a predetermined feature amount extracted from the actual data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. Teacher data selection means for selecting the teacher data that includes the feature quantity that matches or is more than a predetermined level with the feature quantity;
Output means for outputting the teacher data selected by the teacher data selection means;
An apparatus for providing teacher data.
2. In the teacher data providing apparatus according to 1,
The acquisition means acquires the time-series measured data or the time-series data of the feature amount extracted from the time-series measured data,
The teacher data selection means includes:
Data of the feature quantity in a time series for a predetermined time extracted from the actual measurement data in a time series for a predetermined time is set as processing target data, and coincides with the feature quantity included in the first teacher data or exceeds a predetermined level Similar group specifying means for specifying a similar time zone as the first time zone,
Selecting means for selecting the first teacher data as the teacher data output by the output means;
An apparatus for providing teacher data.
3. In the teacher data providing apparatus according to 2,
The similar group specifying means includes the second teacher data different from the first teacher data from the processing target data excluding the first time zone after specifying the first time zone. The feature amount that is equal to or equal to or more than a predetermined level of the feature amount, or the feature amount included in the first teacher data and the feature amount included in the second teacher data A time zone that matches or is more than a predetermined level is specified as the second time zone,
The teacher data providing apparatus that selects the second teacher data as the teacher data output by the output means.
4). In the teacher data providing device according to 3,
After the Nth time zone is specified, the similar group specifying means determines the (N + 1) th (N + 1) th different from the first to Nth teacher data from among the processing target data excluding the first to Nth time zones. ) In the time zone that matches or is more than a predetermined level with the feature amount included in the teacher data, or the feature amount that is arbitrarily combined with the feature amounts included in the first to Nth teacher data. And a time zone that is equal to or equal to or more than a predetermined level with the feature amount obtained by adding the feature amount included in the (N + 1) -th teacher data as the (N + 1) -th teacher data,
The teacher data providing apparatus that selects the (N + 1) -th teacher data as the teacher data output by the output means.
5). In the teacher data providing apparatus according to any one of 1 to 4,
The teacher data providing apparatus further outputs a similarity between the feature amount included in the teacher data selected by the teacher data selection unit and the feature amount extracted from the actual measurement data.
6). In the teacher data providing apparatus according to 5,
The output means further provides teacher data providing the similarity between the feature quantity included in the teacher data different from the teacher data selected by the teacher data selection means and the feature quantity extracted from the measured data apparatus.
7). Actual measurement data acquisition means for acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
The estimation device output means for outputting the actual measurement data or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output means is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means;
Based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of the plurality of electrical devices;
An estimation device.
8). An estimation system comprising: the teacher data providing device according to any one of 1 to 6; and the estimation device according to 7.
9. Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices from a plurality of measurement sensors;
Teacher data storage means for storing, for each measurement sensor, teacher data that associates the identification information of the electrical device with the feature amount included in the measurement data of current consumption or power consumption during operation of the electrical device;
For each measurement sensor, based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of a plurality of the electrical devices;
Acquisition means for acquiring the actual measurement data measured by the first measurement sensor or a predetermined feature amount extracted from the actual measurement data;
The teacher data storage unit matches the feature amount extracted from the actual measurement data acquired by the acquisition unit from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor. Or teacher data selection means for selecting the teacher data including the feature quantity that is more than a predetermined level;
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
An estimation device.
10. Actual measurement data acquisition means for acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
Teacher data storage means for storing teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption during operation of the electric device;
Based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of the plurality of electrical devices;
An acquisition unit that acquires the actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device;
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained by the obtaining means;
Output means for outputting the teacher data selected by the teacher data selection means to the other estimation device;
An estimation apparatus further comprising:
11. Computer
Acquisition means for acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. Teacher data selection means for selecting the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity,
Output means for outputting the teacher data selected by the teacher data selection means;
Program to function as.
11-2. In the program described in 11,
The acquisition means acquires the time-series measured data or the time-series data of the feature amount extracted from the time-series measured data,
The teacher data selection means includes:
Data of the feature quantity in a time series for a predetermined time extracted from the actual measurement data in a time series for a predetermined time is set as processing target data, and coincides with the feature quantity included in the first teacher data or exceeds a predetermined level Similar group specifying means for specifying a similar time zone as the first time zone, and
A program that functions as selection means for selecting the first teacher data as the teacher data output by the output means.
11-3. In the program described in 11-2,
The similar group specifying means includes the second teacher data different from the first teacher data from the processing target data excluding the first time zone after specifying the first time zone. The feature amount that is equal to or equal to or more than a predetermined level of the feature amount, or the feature amount included in the first teacher data and the feature amount included in the second teacher data A time zone that matches or is more than a predetermined level is specified as the second time zone,
The selection means is a program for selecting the second teacher data as the teacher data output by the output means.
11-4. In the program described in 11-3,
After the Nth time zone is specified, the similar group specifying means determines the (N + 1) th (N + 1) th different from the first to Nth teacher data from among the processing target data excluding the first to Nth time zones. ) In the time zone that matches or is more than a predetermined level with the feature amount included in the teacher data, or the feature amount that is arbitrarily combined with the feature amounts included in the first to Nth teacher data. And a time zone that is equal to or equal to or more than a predetermined level with the feature amount obtained by adding the feature amount included in the (N + 1) -th teacher data as the (N + 1) -th teacher data,
The selection means is a program for selecting the (N + 1) th teacher data as the teacher data output by the output means.
11-5. In the program according to any one of 11 to 11-4,
The output means further outputs a similarity between the feature quantity included in the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data.
11-6. In the program described in 11-5,
The output means further outputs a similarity between the feature quantity included in the teacher data different from the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data.
12 Computer
An acquisition step of acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual measurement data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. A teacher data selection step of selecting the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity;
An output step of outputting the teacher data selected in the teacher data selection step;
How to provide teacher data.
12-2. 12. The teacher data providing method according to 12,
In the acquisition step, the time-series measured data, or the time-series data of the feature amount extracted from the time-series measured data is acquired,
The teacher data selection step includes
Data of the feature quantity in a time series for a predetermined time extracted from the actual measurement data in a time series for a predetermined time is set as processing target data, and coincides with the feature quantity included in the first teacher data or exceeds a predetermined level A similar group specifying step of specifying a similar time zone as the first time zone;
A selection step of selecting the first teacher data as the teacher data output in the output step;
A method for providing teacher data.
12-3. In the teacher data providing method described in 12-2,
In the similar group specifying step, after the first time zone is specified, the processing target data excluding the first time zone is included in the second teacher data different from the first teacher data. The feature amount that is equal to or equal to or more than a predetermined level of the feature amount, or the feature amount included in the first teacher data and the feature amount included in the second teacher data A time zone that matches or is more than a predetermined level is specified as the second time zone,
In the selection step, the teacher data providing method of selecting the second teacher data as the teacher data output in the output step.
12-4. In the teacher data providing method described in 12-3,
In the similar group specifying step, after specifying the Nth time zone, the processing target data excluding the first to Nth time zones is different from the first to Nth teacher data (N + 1). ) In the time zone that matches or is more than a predetermined level with the feature amount included in the teacher data, or the feature amount that is arbitrarily combined with the feature amounts included in the first to Nth teacher data. And a time zone that is equal to or equal to or more than a predetermined level with the feature amount obtained by adding the feature amount included in the (N + 1) -th teacher data as the (N + 1) -th teacher data,
In the selection step, the teacher data providing method of selecting the (N + 1) th teacher data as the teacher data output in the output step.
12-5. In the teacher data providing method according to any one of 12 to 12-4,
In the output step, a teacher data providing method for further outputting a similarity between the feature amount included in the teacher data selected in the teacher data selection step and the feature amount extracted from the actual measurement data.
12-6. In the teacher data providing method described in 12-5,
In the output step, teacher data that further outputs a similarity between the feature amount included in the teacher data different from the teacher data selected in the teacher data selection step and the feature amount extracted from the actual measurement data How to provide.
13. Computer
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices;
The actual measurement data, or an estimation device output means for outputting a predetermined feature amount extracted from the actual measurement data,
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output means is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Teacher data receiving means for receiving,
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means;
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means;
Program to function as.
14 Computer
An actual data acquisition step of acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
The estimation device output step for outputting the actual measurement data or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output step is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Receiving the teacher data; and
A teacher data storage step for accumulating the teacher data received in the teacher data reception step;
Based on the actual measurement data and the teacher data accumulated in the teacher data storage step, an estimation step for estimating operating states of a plurality of the electrical devices;
The estimation method to perform.
15. Computer
Measured data acquisition means for acquiring measured data of current consumption or power consumption measured during operation of one or more electrical devices from a plurality of measurement sensors;
Teacher data storage means for storing, for each measurement sensor, teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption during operation of the electric device,
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means for each measurement sensor;
Acquisition means for acquiring the actual measurement data measured by the first measurement sensor or a predetermined feature amount extracted from the actual measurement data;
The teacher data storage unit matches the feature amount extracted from the actual measurement data acquired by the acquisition unit from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor. Or teacher data selection means for selecting the teacher data including the feature quantity that is more than a predetermined level,
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
Program to function as.
16. Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices from a plurality of measurement sensors;
A teacher data storage step of storing, in the storage means, for each measurement sensor, teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption while the electric device is in operation When,
For each measurement sensor, based on the actual measurement data and the teacher data accumulated in the storage means, an estimation step for estimating an operating state of a plurality of the electrical devices;
An acquisition step of acquiring the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
Matching or predetermined value with the feature amount extracted from the actual measurement data acquired in the acquisition step from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor in the storage means A teacher data selection step of selecting the teacher data including the feature quantity that is more than a level; and
An output step of outputting the teacher data selected in the teacher data selection step toward the storage means and storing the teacher data in association with the first measurement sensor;
The estimation method to perform.
17. Computer
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices;
Teacher data storage means for storing teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption during operation of the electric device;
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means;
Acquisition means for acquiring the actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained by the obtaining means,
Output means for outputting the teacher data selected by the teacher data selection means to the other estimation device;
Program to function as.
18. Computer
An actual data acquisition step of acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
A teacher data storage step of storing in the storage means teacher data in which the identification information of the electric device and the feature amount included in the measurement data of current consumption or power consumption during operation of the electric device are associated;
Based on the actual measurement data and the teacher data stored in the storage means, an estimation step for estimating an operating state of a plurality of the electrical devices;
An acquisition step for acquiring the actual measurement data, or a predetermined feature amount extracted from the actual measurement data, from another estimation device;
A teacher that selects, from among the teacher data stored in the storage means, the teacher data that includes the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained in the obtaining step A data selection process;
An output step of outputting the teacher data selected in the teacher data selection step to the other estimation device;
The estimation method to perform.

This application claims priority based on Japanese Patent Application No. 2015-183706 filed on September 17, 2015, the entire disclosure of which is incorporated herein.

Claims

Acquisition means for acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electrical devices, or a predetermined feature amount extracted from the actual data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. Teacher data selection means for selecting the teacher data that includes the feature quantity that matches or is more than a predetermined level with the feature quantity;
Output means for outputting the teacher data selected by the teacher data selection means;
An apparatus for providing teacher data.
The teacher data providing apparatus according to claim 1,
The acquisition means acquires the time-series measured data or the time-series data of the feature amount extracted from the time-series measured data,
The teacher data selection means includes:
Data of the feature quantity in a time series for a predetermined time extracted from the actual measurement data in a time series for a predetermined time is set as processing target data, and coincides with the feature quantity included in the first teacher data or exceeds a predetermined level Similar group specifying means for specifying a similar time zone as the first time zone,
Selecting means for selecting the first teacher data as the teacher data output by the output means;
An apparatus for providing teacher data.
The teacher data providing apparatus according to claim 2,
The similar group specifying means includes the second teacher data different from the first teacher data from the processing target data excluding the first time zone after specifying the first time zone. The feature amount that is equal to or equal to or more than a predetermined level of the feature amount, or the feature amount included in the first teacher data and the feature amount included in the second teacher data A time zone that matches or is more than a predetermined level is specified as the second time zone,
The teacher data providing apparatus that selects the second teacher data as the teacher data output by the output means.
The teacher data providing apparatus according to claim 3,
After the Nth time zone is specified, the similar group specifying means determines the (N + 1) th (N + 1) th different from the first to Nth teacher data from among the processing target data excluding the first to Nth time zones. ) In the time zone that matches or is more than a predetermined level with the feature amount included in the teacher data, or the feature amount that is arbitrarily combined with the feature amounts included in the first to Nth teacher data. And a time zone that is equal to or equal to or more than a predetermined level with the feature amount obtained by adding the feature amount included in the (N + 1) -th teacher data as the (N + 1) -th teacher data,
The teacher data providing apparatus that selects the (N + 1) -th teacher data as the teacher data output by the output means.
In the teacher data providing device according to any one of claims 1 to 4,
The teacher data providing apparatus further outputs a similarity between the feature amount included in the teacher data selected by the teacher data selection unit and the feature amount extracted from the actual measurement data.
The teacher data providing apparatus according to claim 5,
The output means further provides teacher data providing the similarity between the feature quantity included in the teacher data different from the teacher data selected by the teacher data selection means and the feature quantity extracted from the measured data apparatus.
Actual measurement data acquisition means for acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
The estimation device output means for outputting the actual measurement data or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output means is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means;
Based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of the plurality of electrical devices;
An estimation device.
The teacher data providing device according to any one of claims 1 to 6,
An estimation device according to claim 7;
An estimation system.
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices from a plurality of measurement sensors;
Teacher data storage means for storing, for each measurement sensor, teacher data that associates the identification information of the electrical device with the feature amount included in the measurement data of current consumption or power consumption during operation of the electrical device;
For each measurement sensor, based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of a plurality of the electrical devices;
Acquisition means for acquiring the actual measurement data measured by the first measurement sensor or a predetermined feature amount extracted from the actual measurement data;
The teacher data storage unit matches the feature amount extracted from the actual measurement data acquired by the acquisition unit from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor. Or teacher data selection means for selecting the teacher data including the feature quantity that is more than a predetermined level;
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
An estimation device.
Actual measurement data acquisition means for acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
Teacher data storage means for storing teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption during operation of the electric device;
Based on the actual measurement data and the teacher data stored in the teacher data storage unit, an estimation unit that estimates operating states of the plurality of electrical devices;
An acquisition unit that acquires the actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device;
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained by the obtaining means;
Output means for outputting the teacher data selected by the teacher data selection means to the other estimation device;
An estimation apparatus further comprising:
Computer
Acquisition means for acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. Teacher data selection means for selecting the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity,
Output means for outputting the teacher data selected by the teacher data selection means;
Program to function as.
Computer
An acquisition step of acquiring actual data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual measurement data;
It is extracted from the measured data from a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is in operation. A teacher data selection step of selecting the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity;
An output step of outputting the teacher data selected in the teacher data selection step;
How to provide teacher data.
Computer
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices;
The actual measurement data, or an estimation device output means for outputting a predetermined feature amount extracted from the actual measurement data,
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output means is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Teacher data receiving means for receiving,
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means;
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means;
Program to function as.
Computer
An actual data acquisition step of acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
The estimation device output step for outputting the actual measurement data or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which the identification information of the electric device returned in response to the output from the estimation device output step is associated with the feature amount included in the measurement data of current consumption or power consumption while the electric device is operating Receiving the teacher data; and
A teacher data storage step for accumulating the teacher data received in the teacher data reception step;
Based on the actual measurement data and the teacher data accumulated in the teacher data storage step, an estimation step for estimating operating states of a plurality of the electrical devices;
The estimation method to perform.
Computer
Measured data acquisition means for acquiring measured data of current consumption or power consumption measured during operation of one or more electrical devices from a plurality of measurement sensors;
Teacher data storage means for storing, for each measurement sensor, teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of current consumption or power consumption during operation of the electric device,
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means for each measurement sensor;
Acquisition means for acquiring the actual measurement data measured by the first measurement sensor or a predetermined feature amount extracted from the actual measurement data;
The teacher data storage unit matches the feature amount extracted from the actual measurement data acquired by the acquisition unit from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor. Or teacher data selection means for selecting the teacher data including the feature quantity that is more than a predetermined level,
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
Program to function as.
Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices from a plurality of measurement sensors;
A teacher data storage step of storing, in the storage means, for each measurement sensor, teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption while the electric device is in operation When,
For each measurement sensor, based on the actual measurement data and the teacher data accumulated in the storage means, an estimation step for estimating an operating state of a plurality of the electrical devices;
An acquisition step of acquiring the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
Matching or predetermined value with the feature amount extracted from the actual measurement data acquired in the acquisition step from among the teacher data stored corresponding to the measurement sensor different from the first measurement sensor in the storage means A teacher data selection step of selecting the teacher data including the feature quantity that is more than a level; and
An output step of outputting the teacher data selected in the teacher data selection step toward the storage means and storing the teacher data in association with the first measurement sensor;
The estimation method to perform.
Computer
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured during operation of one or more electric devices;
Teacher data storage means for storing teacher data in which identification information of an electric device is associated with a feature amount included in measurement data of current consumption or power consumption during operation of the electric device;
Estimating means for estimating operating states of a plurality of the electrical devices based on the measured data and the teacher data stored in the teacher data storage means;
Acquisition means for acquiring the actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained by the obtaining means,
Output means for outputting the teacher data selected by the teacher data selection means to the other estimation device;
Program to function as.
Computer
An actual data acquisition step of acquiring actual data of current consumption or power consumption measured during operation of one or more electrical devices;
A teacher data storage step of storing in the storage means teacher data in which the identification information of the electric device and the feature amount included in the measurement data of current consumption or power consumption during operation of the electric device are associated;
Based on the actual measurement data and the teacher data stored in the storage means, an estimation step for estimating an operating state of a plurality of the electrical devices;
An acquisition step for acquiring the actual measurement data, or a predetermined feature amount extracted from the actual measurement data, from another estimation device;
A teacher that selects, from among the teacher data stored in the storage means, the teacher data that includes the feature quantity that matches or is more than a predetermined level with the feature quantity extracted from the actual measurement data obtained in the obtaining step A data selection process;
An output step of outputting the teacher data selected in the teacher data selection step to the other estimation device;
The estimation method to perform.