JP2023092244A - Inference system, power measurement device, distribution board, inference method, and program - Google Patents

Abstract

To improve the convenience of a user who monitors or manages an electric apparatus.SOLUTION: An inference system 1 includes an acquisition unit 2 and an inference unit 31. The acquisition unit 2 acquires measurement information D1 that includes at least one of a power, a power factor, and a harmonic component level which are computed on the basis of a measurement result of an electricity-related physical amount. The inference unit 31 infers whether or not a prescribed event related to an electric apparatus AP1 which receives a power supply has occurred on the basis of the measurement information D1.SELECTED DRAWING: Figure 1

Description

The present disclosure generally relates to estimation systems, power meters, distribution boards, estimation methods, and programs. More specifically, the present disclosure relates to an estimation system that can be applied to monitoring or management of electrical equipment, a power meter including the estimation system, a distribution board including the estimation system, an estimation method, and a program.

Patent Literature 1 discloses a power management system that performs power management in a plurality of user systems provided for each power consumption unit. This power management system consists of a smart meter, which is a performance data generator installed in each user system or the like, and a management server connected to the smart meter via the Internet, a telephone line, a dedicated line, or the like. Each smart meter measures the amount of power generated or consumed in each user system during each power usage period for each consumer to generate performance data. The management server manages power consumption in the user system based on performance data.

This power management system analyzes temporal fluctuations in total power consumption measured on a consumer-by-consumer basis within the user system, and estimates individual devices operating within the consumer and their power consumption, or individual power consumption. . In addition, the power management system estimates the number of individual devices in operation at the start of the prediction from the real-time total power consumption using an estimation history that records the power supply status of individual devices in chronological order based on the estimation results. Furthermore, the transition of the individual power consumption during the prediction period from the prediction start point is predicted.

WO2020/250648

By the way, a person (user) who monitors or manages power consumption or the like consumed by an individual device (electrical device) desires to know in real time whether there is an event (failure, etc.) related to the electrical device. However, checking and analyzing information (measurement information) such as power consumption each time can be a time-consuming task.

The present disclosure is made in view of the above reasons, and aims to provide an estimation system, a power meter, a distribution board, an estimation method, and a program that improve convenience for users who monitor or manage electrical equipment. .

An estimation system according to one aspect of the present disclosure includes an acquisition unit and an estimation unit. The acquisition unit acquires measurement information including information on at least one of power, power factor, and level of harmonic components calculated based on measurement results of physical quantities relating to electricity. The estimation unit estimates whether or not a predetermined event related to the electrical equipment to which the electricity is supplied has occurred, based on the measurement information.

A power meter according to an aspect of the present disclosure includes the above estimation system, a measurement section, a calculation section, and a main unit. The measurement unit measures a physical quantity related to the electricity. The computing section computes at least one of the power, the power factor, and the level of the harmonic component based on the measurement result of the measuring section. The body unit accommodates the estimation system, the measurement section, and the calculation section.

A distribution board according to an aspect of the present disclosure includes the estimation system described above, a power meter, and a cabinet. The power measuring instrument includes a measuring unit that measures the physical quantity related to electricity, and a computing unit that computes at least one of the power, the power factor, and the level of the harmonic component based on the measurement result of the measuring unit. including. The cabinet houses the estimation system and the power meter.

An estimation method according to an aspect of the present disclosure includes an acquisition processing step and an estimation processing step. In the acquisition processing step, measurement information including information on at least one of power, power factor, and harmonic component level calculated based on the measurement result of the physical quantity relating to electricity is acquired. In the estimation processing step, based on the measurement information, it is estimated whether or not a predetermined event related to the electrical equipment to which the electricity is supplied has occurred.

A program according to an aspect of the present disclosure is a program for causing one or more processors to execute the above estimation method.

According to the present disclosure, there is an advantage that it is possible to improve the convenience of a user who monitors or manages electrical equipment.

FIG. 1 is a schematic block configuration diagram of the entire system including an estimation system according to one embodiment. FIG. 2 is a schematic diagram of a notification image including event estimation results in the estimation system. FIG. 3 is a flowchart for explaining the operation of the estimation system; FIG. 4 is a schematic block diagram of the entire system including a modified example of the estimation system.

(overview)
Hereinafter, an estimation system, a power meter, a distribution board, an estimation method, and a program according to embodiments will be described with reference to the drawings.

As shown in FIG. 1 , an estimation system 1 according to one aspect includes an acquisition unit 2 and an estimation unit 31 . In this embodiment, as an example, it is assumed that the functions of the estimation system 1 are implemented in the power meter A1 installed inside the cabinet 101 of the distribution board 100 .

The acquisition unit 2 acquires measurement information D1 including information on at least one of the power, power factor, and harmonic component level calculated based on the measurement result of the physical quantity related to electricity. As an example, the "physical quantities related to electricity" are current and voltage, and are assumed to be AC current and AC voltage in a feeder line that supplies AC power to the electric device AP1 (load), for example. In the present embodiment, the measurement unit A11 (see FIG. 1) of the power meter A1 measures these physical quantities, and the calculation unit A12 (see FIG. 1) of the power meter A1 calculates, for example, power, Calculate the power factor and the level of harmonic components. The acquisition unit 2 acquires the measurement information D1 from the calculation unit A12.

Based on the measurement information D1, the estimation unit 31 estimates whether or not a predetermined event related to the electrical equipment AP1 to which electricity is supplied has occurred. In this embodiment, it is assumed that the predetermined event includes at least one of failure of the electric device AP1 and failure to turn off the power of the electric device AP1 (hereinafter sometimes simply referred to as failure to turn off (failed to turn off)). However, the predetermined "event" referred to in the present disclosure is not particularly limited as long as it is an event that can be estimated from the measurement information D1. For example, the event includes an event related to an unusual state of the electrical device AP1 (failure state, abnormal state due to deterioration over time, abnormal state due to entry of foreign matter, etc., state requiring maintenance due to dirt, etc.). obtain. In addition, the event may include an event related to a state inconvenient for the user (a state in which useless power consumption such as forgetting to turn off the power occurs). Events may also include events related to precursors of the conditions described above.

According to the estimation system 1 described above, it is automatically estimated whether or not a predetermined event regarding the electric appliance AP1 has occurred. As a result, the estimation system 1 has the advantage of improving convenience for users who monitor or manage the electric appliance AP1.

Specific examples of the "user" in the present disclosure include residents or managers of residential facilities (detached houses or collective housing), or non-residential facilities (stores, offices, schools, welfare facilities, commercial complexes, hospitals, factories , or outdoor facilities, etc.). That is, the estimation system 1 can be applied to the residential facilities and non-residential facilities described above.

The estimation result by the estimation unit 31 is displayed from the display unit 70 (see FIG. 1) of the dedicated display setting unit 7 communicably connected to the power meter A1. The “display unit” in the present disclosure is not limited to the display unit 70 of the dedicated display setting unit 7, and may be a display unit provided in an information terminal such as a notebook computer, a tablet terminal, or a smartphone. For example, the estimation result is also displayed from the display unit 80 (see FIG. 1) of the mobile terminal 8 (smartphone) owned by the user.

Also, an estimation method according to one aspect includes an acquisition processing step and an estimation processing step. In the acquisition processing step, measurement information D1 including information on at least one of power, power factor, and level of harmonic components calculated based on the measurement results of physical quantities related to electricity is acquired. In the estimation processing step, based on the measurement information D1, it is estimated whether or not a predetermined event related to the electrical equipment AP1 to which electricity is supplied has occurred. The estimation method described above has the advantage of improving convenience for the user who monitors or manages the electric appliance AP1.

This estimation method is used on a computer system (estimation system 1). That is, this estimation method can also be embodied by a program. A program according to one aspect is a program for causing one or more processors to execute the above estimation method. The program may be recorded on a computer-readable non-transitory recording medium.

(detail)
(1) Overall Configuration Hereinafter, the entire system (power management system 10) including the estimation system 1 and its peripheral configuration according to the present embodiment will be described in detail with reference to FIGS. 1 to 3. FIG.

The peripheral configuration of the power management system 10 referred to here includes, as shown in FIG. It includes a mobile terminal 8, one or more sensors 9 (one in FIG. 1), and the like. Note that at least part of the peripheral configuration may be included in the configuration of the estimation system 1 . As an example below, the case where the power management system 10 is applied to a residential facility such as a detached house is assumed. That is, it is assumed that the user is one or more residents living in a residential facility. Therefore, the distribution board 100 and one or a plurality of electric devices AP1, etc. are installed in the residential facility.

(2) Distribution Board The distribution board 100 includes an estimation system 1, a power meter A1, and a cabinet 101, as shown in FIG. However, in this embodiment, as described above, all the functions of the estimation system 1 are implemented in the power meter A1. The distribution board 100 further includes a main breaker B0, a plurality of branch circuits (four branch circuits C1 to C4 as an example), and a plurality of current detectors (four current detectors CT1 to CT4 as an example). Cabinet 101 accommodates main breaker B0, branch circuits C1-C4, current detectors CT1-CT4, and power meter A1 on which the function of estimation system 1 is implemented. In other words, the cabinet 101 of this embodiment accommodates the estimation system 1 and the power meter A1.

The main breaker B0 has a primary side terminal, a secondary side terminal, and a contact connected to an electric circuit between the primary side terminal and the secondary side terminal. The main breaker B0 further has an operation lever for turning on or off the contact. Moreover, the main breaker B0 further has a main breaker. The master cutoff section cuts off the contact when an abnormal state is detected. An example of an abnormal condition is the occurrence of a ground fault or overload current.

A service line W1 (see FIG. 1) leading to the system power supply P1 is electrically connected to the primary side terminal of the main breaker B0. Thereby, the primary side terminal of the main breaker B0 is electrically connected to the system power supply P1. In this embodiment, a single-phase three-wire system is assumed as the power distribution system. Therefore, a single-phase three-wire service line W1 connected to the system power supply P1 is electrically connected to the primary side terminal of the main breaker B0.

A main line W2 (see FIG. 1) is electrically connected to the secondary side terminal of the main breaker B0. In this embodiment, a single-phase three-wire system is assumed as the power distribution system. The trunk line W2 may include a first voltage pole (L1 phase) conductive bar, a second voltage pole (L2 phase) conductive bar, and a neutral pole (N phase) conductive bar.

Although detailed description is omitted, for example, a current transformer CT0 is provided as a sensor for detecting the current flowing through the main line W2, and the detection result of the current transformer CT0 is input to a watt-hour meter such as a smart meter.

A "branch circuit" as used in the present disclosure means an individual circuit branched from the main line W2. The multiple branch circuits C1-C4 include multiple branch breakers B1-B4, respectively, as shown in FIG. Each of the plurality of branch circuits C1-C4 has a primary side terminal, a secondary side terminal, and a contact connected to an electrical path between the primary side terminal and the secondary side terminal. Each of the plurality of branch circuits C1-C4 further has an operating lever for turning the contacts on or off. Moreover, each of the plurality of branch circuits C1 to C4 further has a breaker. The interrupter interrupts the contact when an abnormal state is detected. An example of an abnormal condition is the occurrence of a ground fault or overload current in the corresponding branch circuit.

Primary side terminals of the plurality of branch circuits C1 to C4 are electrically connected to the main line W2. Secondary terminals of the plurality of branch circuits C1 to C4 can be electrically connected to a plurality (four in the illustrated example) of electric devices AP1. In the example of FIG. 1, four electric appliances AP1 are electrically connected to branch circuits C1 to C4, respectively. As a result, the system power supply P1 and the four electric devices AP1 are electrically connected via the branch circuits C1 to C4.

The plurality of electrical appliances AP1 are load devices that consume power, and include a first air conditioner 110, a first lighting device 111, a second air conditioner 112, and a second lighting device 113, as shown in FIG. The electrical equipment AP1 shown in FIG. 1 is merely an example, and the type, size, number, etc. of the “electrical equipment” in the present disclosure are not particularly limited. For example, the plurality of electric devices AP1 may include a power generation device (for example, a solar power generation device, etc.) that generates electric power and supplies it to other electric devices AP1, a power storage device, or a system power supply P1. Also, the plurality of electrical devices AP1 may include a power storage device that is charged with power supplied from the system power supply P1 or the power generation device, discharges the power, and supplies the power to the other electrical devices AP1.

As shown in FIG. 1, the plurality of current detectors CT1-CT4 are installed so as to detect the currents flowing through the plurality of branch circuits C1-C4. That is, current detection unit CT1 detects the current input to first air conditioner 110 . The current detection unit CT2 detects current input to the first lighting device 111 . Current detector CT3 detects the current input to second air conditioner 112 . The current detector CT4 detects current input to the second lighting device 113 . The plurality of current detection units CT1 to CT4 are assumed to include, for example, current transformers (CT), but may also include Rogowski coils. The detection results detected by the plurality of current detectors CT1-CT4 are input to the power meter A1 via the plurality of CT cables Ca1-Ca4.

(3) Power Meter The power meter A1 is configured to be able to measure voltage, current, power, power factor, and integrated power consumption of multiple circuits (for example, four circuits). The power meter A1 includes an estimation system 1, a measurement section A11, a calculation section A12, and a main body unit A10. In addition, as shown in FIG. 1, the power meter A1 further includes input terminals T1 to T4, a storage section A13, and a communication section A14. Note that the estimation system 1, the measurement unit A11, and the calculation unit A12 merely represent functions realized by one or more processors, and do not necessarily represent actual configurations.

The main unit A10 is a box-shaped housing that accommodates the estimation system 1, the measurement unit A11, and the calculation unit A12. The main unit A10 is configured to be mountable inside the cabinet 101 of the distribution board 100 .

The main unit A10 has a plurality of (for example, four) insertion openings on its front surface into which connectors of a plurality of CT cables Ca1 to Ca4 can be inserted. By inserting the connectors of the plurality of CT cables Ca1 to Ca4 into the plurality of receptacles, the terminals of the connectors of the plurality of CT cables Ca1 to Ca4 come into contact with the input terminals T1 to T4. As a result, the plurality of current detectors CT1-CT4 and the input terminals T1-T4 are electrically connected. The detection results detected by the plurality of current detection units CT1-CT4 are input to the measurement unit A11 via the input terminals T1-T4.

The power meter A1 further has input terminals (for example, screw terminals) to which voltage cables for individually detecting voltages in the branch circuits C1 to C4 are connected.

The storage unit A13 is, for example, an electrically rewritable non-volatile semiconductor memory such as a flash memory. The storage unit A13 can store various settings received by user's operation input to the display setting unit 7 or the mobile terminal 8 as "setting information". In addition, the storage unit A13 can store history information such as the measurement result of the measurement unit A11, the calculation result of the calculation unit A12, and the estimation result of the estimation system.

The communication section A14 has a communication interface for communicating with the display setting unit 7 by wire. The communication section A14 may have a communication interface for wireless communication with the display setting unit 7 directly or via a router installed in the residence. Wired communication is wired communication via, for example, a twisted pair cable, a dedicated communication line, or a LAN (Local Area Network) cable. Wireless communication is, for example, Wi-Fi (registered trademark), Bluetooth (registered trademark), ZigBee (registered trademark), wireless communication that conforms to standards such as low-power wireless (specified low-power wireless) that does not require a license, or infrared wireless communication such as communication.

Further, the communication unit A14 has a communication interface for communicating with the mobile terminal 8 via a router of the residential facility and a wide area network such as the Internet when the mobile terminal 8 exists outside the residential facility. Further, the communication unit A14 has a communication interface for communicating with the mobile terminal 8 by wireless communication conforming to standards such as Wi-Fi (registered trademark) when the mobile terminal 8 is present in the residential facility.

Each of the measurement unit A11 and the calculation unit A12 includes a computer system having one or more processors and memory. At least part of the function of each of the measurement unit A11 and the calculation unit A12 is realized by the processor of the computer system executing the program recorded in the memory of the computer system. The program may be recorded in memory, may be provided through an electric communication line such as the Internet, or may be recorded and provided in a non-temporary recording medium such as a memory card.

The measurement unit A11 individually acquires detected values (current values) regarding currents flowing through the plurality of branch circuits C1 to C4 through the input terminals T1 to T4. In addition, the measuring unit A11 individually acquires detected values (voltage values) regarding voltages in the plurality of branch circuits C1 to C4 through input terminals to which voltage cables are connected. That is, the measurement unit A11 measures the current and voltage input to the plurality of electric appliances AP1 in real time, for example, every minute. In other words, the measurement unit A11 measures physical quantities related to electricity. The measurement results of the measurement unit A11 are input to the calculation unit A12 and stored (memorized) in the storage unit A13 at any time.

The calculation unit A12 calculates a plurality of calculation items from the current and voltage measured by the measurement unit A11 and the setting information stored in the storage unit A13. The plurality of calculation items include, for example, instantaneous power, power factor obtained by dividing active power by apparent power, integrated power consumption, level of harmonic components, and the like. The level of harmonic components will be described later.

The setting information includes the current time, information on the CT ratio (current transformation ratio), information on the rated currents of the current detectors CT1 to CT4, and information on the phase wire system. The setting information includes name information (air conditioner 1, air conditioner 2, lighting 1, lighting 2, etc.) and type information (air conditioner or lighting equipment, etc.). In addition, the setting information includes manufacturer information, product number (product number or serial number), date of introduction, etc. as individual information of the electric device AP1. In other words, the setting information includes information for linking each of the branch circuits C1 to C4 with the corresponding electric device AP1. The setting information also includes group information that specifies grouping of the plurality of branch circuits C1 to C4, and information that specifies the unit time (classification, hourly, daily, monthly, etc.) for calculating calculation items.

The calculation unit A12 calculates the plurality of calculation items individually for each of the plurality of branch circuits C1 to C4. The calculation unit A12 can calculate the plurality of calculation items every minute, every hour, every day, or every month based on the setting information.

Further, the calculation unit A12 calculates the plurality of calculation items for each group based on the setting information. For example, the user can use the display setting unit 7 or the mobile terminal 8 to set and register the branch circuits C1 and C3 to which the first air conditioner 110 and the second air conditioner 112 are respectively connected as an "air conditioning group." . Similarly, the user uses the display setting unit 7 or the mobile terminal 8 to set and register the branch circuits C2 and C4 to which the first lighting device 111 and the second lighting device 113 are respectively connected as a "lighting group." can. The storage unit A13 stores group information linking the branch circuits C1 and C3 to the "air conditioning group" and the branch circuits C2 and C4 to the "lighting group". The calculation unit A12 can calculate the plurality of calculation items in units of "air conditioning group" or "lighting group".

The calculation unit A12 has a function of calculating the level of the harmonic component (for example, the effective value level of the harmonic current), which is one of the plurality of calculation items, from the current and voltage signal waveforms measured by the measurement unit A11. have. The level of harmonic components can increase, as can the power consumed by the electrical appliance AP1 in the event of a failure or impending failure of the electrical appliance AP1. The calculation unit A12 calculates levels of harmonic components individually for each of the plurality of branch circuits C1 to C4. The calculator A12 can calculate the level of the harmonic component every minute, every hour, every day, or every month. Further, the calculation unit A12 can calculate the level of harmonic components for each group.

In short, the calculation unit A12 calculates the power (instantaneous power and integrated power consumption), power factor, and harmonic component level based on the measurement result of the measurement unit A11. However, it is not essential for the calculation unit A12 to calculate all of the power, power factor, and harmonic component levels. In other words, the calculator A12 calculates at least one of the power, the power factor, and the level of the harmonic component based on the measurement result of the measuring unit A11.

The calculation unit A12 outputs the measurement information D1 (see FIG. 1) including information on power (instantaneous power and integrated power consumption), power factor, and harmonic component level to the acquisition unit 2 of the estimation system 1 .

(4) Display setting unit and mobile terminal The display setting unit 7 is communicably connected to the power meter A1 via a connection cable (wired). The display setting unit 7 may be arranged inside the cabinet 101 of the distribution board 100 or may be arranged outside the cabinet 101 . The display setting unit 7 has a display section 70 and an operation section 71, as shown in FIG.

The display unit 70 includes a display such as a liquid crystal display or an organic EL (Electroluminescence) display. The display unit 70 displays (presents) information. The information displayed by the display unit 70 includes, for example, the measurement result of the power meter A1, the estimation result of the estimation system 1, and the like. In addition, the display unit 70 can display a setting screen for inputting the setting information described above, or display a screen for notifying various errors. The operation unit 71 includes, for example, one or more push buttons, and receives operation input by the user. The display setting unit 7 may further include a speaker, and may output information related to the measurement result of the power meter A1, the estimation result of the estimation system 1, and the like by voice from the speaker.

The mobile terminal 8 is wirelessly communicably connected to the power meter A1. Dedicated application software for communicating with the power meter A1 is installed in the mobile terminal 8 .

The mobile terminal 8 has a display section 80 as shown in FIG. The display unit 80 includes a display such as a liquid crystal display or an organic EL display. The display is, for example, a touch panel display capable of accepting operation input by the user. The display unit 80 displays (presents) information. The information displayed by the display unit 80 includes, for example, the measurement result of the power meter A1, the estimation result of the estimation system 1, and the like. In addition, the display unit 80 can display a setting screen for inputting the setting information described above, or display a screen for notifying various errors. The portable terminal 8 may output information about the measurement result of the power meter A1, the estimation result of the estimation system 1, and the like by voice from an attached speaker.

(5) Sensor One or a plurality of sensors 9 (one in FIG. 1) detects physical quantities that form the basis of auxiliary information D2 (see FIG. 1) (to be described later) that includes “information other than physical quantities related to electricity”. In the present embodiment, it is assumed that the "information other than the physical quantity related to electricity" is, for example, information that can relate to the operation of the electric device AP1, but is not particularly limited. Each of the one or more sensors 9 (one in FIG. 1) is installed, for example, to monitor the ambient environment of the corresponding electrical equipment AP1. One or more sensors 9 are communicably connected to the estimation system 1 via the communication unit A14 of the power meter A1.

The one or more sensors 9 may include temperature and humidity sensors that detect temperature and humidity. The temperature/humidity sensor is installed, for example, in the installation space of the electric device AP1, and detects the temperature and humidity around the electric device AP1. Specifically, when the first air conditioner 110 is installed in a certain space (for example, a living room) in the residential facility, the temperature and humidity sensor is installed in the living room to measure the temperature and humidity around the first air conditioner 110. to detect

If the electric device AP1 is an air conditioner, a temperature/humidity sensor provided in a controller that controls the air conditioner may be applied as one of the sensors 9 . In this case, the communication unit A14 of the power meter A1 can communicate with the controller of the air conditioner.

The one or more sensors 9 may include seismic sensors that detect ground vibrations (earthquake intensity levels). A seismic sensor is installed in a residential facility. The seismic sensor may be installed inside the distribution board 100 . Also, the one or more sensors 9 may include a vibration sensor that detects vibrations that the electrical device AP1 may generate (eg, vibrations of an internal motor or the like). The vibration sensor is attached to the electrical equipment AP1.

One or more sensors 9 may include, for example, a gas sensor (which may be an odor sensor) that detects the concentration of a specific gas. The type of specific gas is not particularly limited, but examples include CO, CO ₂ , combustible gas, and the like.

The one or more sensors 9 may include an image sensor that captures an image of the installation space of the electric device AP1, or a sound sensor (sound collecting microphone) that collects noise or the like in the installation space of the electric device AP1.

(6) Estimation System The estimation system 1 includes a computer system having one or more processors and memory. At least part of the functions of the estimation system 1 are realized by the processor of the computer system executing a program recorded in the memory of the computer system. The program may be recorded in memory, may be provided through an electric communication line such as the Internet, or may be recorded and provided in a non-temporary recording medium such as a memory card.

The estimation system 1 includes an acquisition unit 2, a processing unit 3, a function unit 4, a model storage unit 5, and a learning unit 6, as shown in FIG. The estimation system 1 is preferably capable of communicating with each of peripheral components such as a display setting unit 7 , a mobile terminal 8 , and one or more sensors 9 . In this embodiment, since the functions of the estimation system 1 are implemented in the power meter A1, the estimation system 1 can communicate with the above-described peripheral components via the communication unit A14 of the power meter A1.

The acquisition unit 2 acquires from the calculation unit A12 the measurement information D1 including the power, power factor, and harmonic component level information calculated based on the measurement results of the current and voltage in the measurement unit A11. The measurement information D1 further includes information on current and voltage measurement results. The acquiring unit 2 includes the information about the electric device AP1 connected to the branch circuit to be measured among the branch circuits C1 to C4 and the measurement time of the current and voltage in the measurement information D1, and transmits the information to the processing unit 3. Output. The acquisition unit 2 also stores the measurement information D1 in the storage unit A13 as history information (hereinafter sometimes referred to as "electrical history"). A part of the electrical history (for example, the history from the latest to one month ago) may be used for estimating a predetermined event.

The processing unit 3 has an estimating unit 31, an output processing unit 32, and an extracting unit 33, as shown in FIG.

The estimation unit 31 is configured to estimate whether or not a predetermined event related to the electric device AP1 to which electricity is supplied has occurred, based on the measurement information D1. In other words, the estimating unit 31 is configured to execute processing related to estimating a predetermined event (hereinafter sometimes referred to as “event estimation processing”). The execution timing of the event estimation process is not particularly limited. The event estimation process may be automatically performed at regular time intervals, or may be performed at any timing, for example, when a request for execution of the event estimation process is input from the user through the display setting unit 7 or the mobile terminal 8. may be broken.

The estimation unit 31 estimates in real time whether or not a predetermined event has occurred based on the most recently acquired measurement information D1 (for example, at the present time). The estimation unit 31 considers not only the most recent measurement information D1 but also the electrical history of the measurement information D1 stored in the storage unit A13, and determines whether a predetermined event has occurred based on the change over time of the measurement information D1. Estimate whether or not

In this embodiment, as an example, the estimation unit 31 estimates whether or not a first event of failure (or a sign of failure) of the electric device AP1 has occurred based on the measurement information D1. In addition, the estimation unit 31 estimates whether or not a second event of forgetting to turn off the electric device AP1 has occurred based on the measurement information D1. That is, the predetermined event includes a first event and a second event. Hereinafter, when the first event and the second event are not distinguished, they may simply be referred to as "events".

The estimating unit 31 determines that at least one of the calculated instantaneous power, integrated power amount, and harmonic component level (rms level of harmonic current) corresponds to the instantaneous power, integrated power amount, and harmonic component level, respectively. A first event is presumed to have occurred if the increase exceeds a correspondingly set threshold. Also, the estimating unit 31 estimates that the first event has occurred when the calculated power factor has fallen below a threshold value set corresponding to the power factor. These thresholds are values at which it can be determined that the electric appliance AP1 is out of order. These thresholds are preferably set individually according to the type of each electric appliance AP1.

These thresholds may be set based on device information input through the display setting unit 7 or the mobile terminal 8 . The device information may include, for example, information (device type, power consumption, rated voltage, etc.) regarding the corresponding electric device AP1. Alternatively, the estimation system 1 may measure the instantaneous power, integrated power consumption, power factor, and effective value of the fundamental wave of the current measured at the beginning of the introduction of the electric power meter A1 or the electric appliance AP1 to the residential facility. Based on information, these thresholds may be set automatically. Information on these thresholds is stored (stored) in the storage unit A13.

The estimating unit 31 also considers the electricity history of the measurement information D1, and determines whether at least one of the instantaneous electric power and the accumulated electric energy exceeds a predetermined value set corresponding to each of the instantaneous electric power and the accumulated electric energy over a specific period. If so, it is assumed that the second event has occurred.

The specific period is assumed to be, for example, a period during which the user is asleep or out of the office, and it is highly likely that it is inappropriate for the power meter A1 to be in operation. Note that if the facility to which the estimation system 1 is applied is an office, it is assumed that the specific period is, for example, a period during which the user is not likely to be working. The specific period may be an hourly unit of a day (eg, 0:00 to 6:00 hours), a daily unit (eg, December 1st to December 10th), or a day of the week (eg, Saturday and Sunday). It's okay.

A specific period is set based on input information input through the display setting unit 7 or the mobile terminal 8 . The input information includes information that directly specifies the time zone, date, day of the week, or the like. Alternatively, the input information may include information indicating that the user is about to go out, information indicating that the user has returned home, information indicating that the user is about to go to bed, or information indicating that the user has just woken up. The estimation system 1 may automatically determine whether or not the user is out of the house from the location information of the mobile terminal 8 using, for example, GPS (Global Positioning System). Alternatively, the estimation system 1 analyzes the user's life pattern (sleep time, going out time, etc.) and work pattern based on the measurement information D1 measured for a certain period (for example, one month), and based on the analysis result A specific time period may be set automatically. Information of a specific period is stored (stored) in the storage unit A13.

The predetermined value is a value with which it can be determined that the electric appliance AP1 is in an operating state, not in a power-off state or standby state. The predetermined value is preferably set individually according to the type of each electric appliance AP1.

The predetermined value is set based on information input through the display setting unit 7 or the mobile terminal 8 . Alternatively, the estimation system 1 may automatically set the predetermined value based on information such as the instantaneous power actually measured in the standby state and the operating state of the electrical appliance AP1, and the integrated power consumption. The information of the predetermined value is stored (stored) in the storage unit A13.

In addition, the estimation unit 31 can individually estimate whether or not each event has occurred for each electric device AP1. The estimation unit 31 can also estimate whether or not each event has occurred in units of groups such as the above-described "air conditioning group" or "lighting group."

By the way, the estimation unit 31 of this embodiment inputs the measurement information D1 to the learned model M1 (see FIG. 1), and determines whether a predetermined event has occurred based on the result output from the learned model M1. to estimate As shown in FIG. 1, the model storage unit 5 (storage unit) stores a learned model M1 that has undergone machine learning for a predetermined event.

A “trained model” in the present disclosure refers to a model for which machine learning using learning data has been completed. In this embodiment, the trained model M1 is a model for which machine learning by supervised learning has been completed. The trained model M1 is assumed to include, for example, a model using a neural network or a model generated by deep learning using a multilayer neural network. The neural network may include, for example, a CNN (Convolutional Neural Network) or a BNN (Bayesian Neural Network). The trained model M1 is implemented by implementing a trained neural network in an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array). The trained model M1 is not limited to a model generated by deep learning. The learned model M1 may be a model generated by a support vector machine, a decision tree, or the like.

A trained model M1 is stored in the model storage unit 5 . Here, it is assumed that the trained model M1 includes a plurality of trained models generated for each event, but may include only one trained model generated to handle multiple events. .

The trained model M1 includes a trained model for the first event (first model M11) and a trained model for the second event (second model M12). Each of the first model M11 and the second model M12 identifies whether or not the corresponding event has occurred, and outputs the identification result from the output layer as, for example, the occurrence probability of the event.

The first model M11 is a data pattern that is determined to be within the normal range for instantaneous power, integrated power consumption, power factor, level of harmonic components, and the amount of change over time for each type of electrical equipment AP1. It is learned as teacher data.

Here, the estimation unit 31 estimates whether or not a predetermined event has occurred based on both the measurement information D1 and the auxiliary information D2. Therefore, the first model M11 used by the estimating unit 31 for event estimation processing is learned by using a data pattern that is determined to be within the normal range in consideration of information other than the physical quantity related to electricity as teacher data. Factors for determining that there is a failure in the electrical device AP1 include, for example, an abnormal increase in the level of instantaneous power, integral power consumption, and harmonic components, an abnormal decrease in power factor, an abnormal increase in temperature and humidity, and vibration. an abnormal increase in

The functional unit 4 of the present embodiment is configured to acquire auxiliary information D2 including information other than physical quantities related to electricity. The auxiliary information D2 includes at least one information of temperature, humidity, and vibration. Here, as an example, it is assumed that the auxiliary information D2 includes all information about the temperature and humidity around the electric device AP1 and the vibration caused by the internal motor of the electric device AP1. Specifically, the function unit 4 receives information on the temperature and humidity around the electric device AP1 detected by the temperature and humidity sensor (sensor 9) and information on the vibration of the electric device AP1 detected by the vibration sensor (sensor 9). Auxiliary information D2 containing information is acquired.

Correspondence information that associates each sensor 9 with the electrical equipment AP1 (or one of the branch circuits C1 to C4) whose physical quantity is to be detected by the sensor 9 is stored in the storage unit A13. Correspondence information is set based on information input through the display setting unit 7 or the mobile terminal 8 .

The functional unit 4 outputs the auxiliary information D<b>2 including the information about the electric device AP<b>1 whose physical quantity is to be detected and the detection time to the processing unit 3 . In addition, the function unit 4 stores the auxiliary information D2 in the storage unit A13 as temperature/humidity history (information) and vibration history (information). A part of each of the temperature/humidity history and the vibration history (for example, history from the latest to one month ago) may be used for event estimation.

Input data (measurement information D1 including electrical history, auxiliary information D2 including temperature/humidity history and vibration history) is input to the first model M11. 1 Identify whether an event has occurred. The identification result is output as the probability of occurrence of the first event (first probability of occurrence). The first occurrence probability may be output without using the auxiliary information D2.

The estimation unit 31 estimates that there is no failure in the electric device AP1 if the first occurrence probability is less than 50%, for example. The estimation unit 31 estimates that there is a sign of failure in the electric device AP1 if the first occurrence probability is, for example, 50% or more and less than 80%. The estimation unit 31 estimates that the electric device AP1 has a failure if the first occurrence probability is, for example, 80% or more.

The second model M12 is learned by using data patterns of factors for determining that the electric device AP1 was left unturned off for each type of the electric device AP1 as teacher data. Factors that may be determined as failure to turn off include, for example, the fact that the electric device AP1 has been in operation for a long time, and the fact that the electric device AP1 has been in operation late at night or while the user is out of the house.

The second model M12 receives input data (measurement information D1 including electrical history, auxiliary information D2 including temperature/humidity history and vibration history), so that the electrical equipment AP1, which is the measurement target of the measurement information D1, is the second model M12. 2 Identify whether an event has occurred. The identification result is output as the probability of occurrence of the second event (second occurrence probability). The second occurrence probability may be output without using the auxiliary information D2.

For example, it is assumed that the electrical equipment AP1 to be measured is a lighting equipment (for example, the first lighting equipment 111). It is estimated that the first lighting device 111 is in operation from information on instantaneous power and integrated power consumption during late-night hours (specific periods) when it is highly likely that it is not appropriate for lighting devices to be in operation. If so, the second model M12 outputs a high value of the second probability of occurrence. Since the specific period may differ depending on the life pattern of the individual, the estimation system 1 analyzes the life pattern of the individual from the measurement information D1 and the auxiliary information D2 collected after introduction to the facility, It is preferable to relearn model M12.

If the second occurrence probability is less than 80%, for example, the estimation unit 31 estimates that the electric appliance AP1 has not been left unturned. If the second occurrence probability is, for example, 80% or more, the estimation unit 31 estimates that the electric appliance AP1 has been left unturned.

The output processing unit 32 notifies at least part of the measurement information D<b>1 and the estimation result of the estimation unit 31 . In this embodiment, the output processing unit 32 notifies only the information extracted by the extraction unit 33 . Here, the extraction unit 33 is configured to extract predetermined information that satisfies a predetermined condition from among the measurement information D1 and the estimation result of the estimation unit 31 . That is, each time the estimating unit 31 executes the event estimating process, the measurement information D1 including the electrical history and all the information of the estimation result of the estimating unit 31 may be notified. The processing load increases, and the amount of data traffic can also increase. By narrowing down the information to be notified by the extraction unit 33 to some extent, the processing load on the output processing unit 32 can be reduced, and the amount of data communication can be suppressed. Also, for example, it becomes difficult for the user to be notified of information that is likely to be judged unnecessary. In this embodiment, the output processing unit 32 notifies the user of the information extracted by the extraction unit 33 by causing the display units 70 and 80 to display the information. The output processing unit 32 may notify the user of the information extracted by the extraction unit 33 by outputting the information by voice.

"Predetermined information that satisfies predetermined conditions" includes, as an initial setting, information that satisfies the "display request" from the user. Setting information related to the predetermined condition is stored in the storage unit A13.

The display setting unit 7 and the portable terminal 8 can accept an operation input requesting display of information such as the presence or absence of an event (estimation result), a daily report, a monthly report, or an annual report. In other words, the user may want to know information such as the presence or absence of an event, a daily report, a monthly report, or an annual report at an arbitrary timing. When the user performs an operation input requesting the display of information such as the presence or absence of an event, a daily report, a monthly report, or an annual report through the display setting unit 7 or the mobile terminal 8, the extraction unit 33 extracts information necessary for displaying these (predetermined information) is extracted from the measurement information D1 including the electrical history. The extraction unit 33 may also extract information from the auxiliary information D2 including the temperature/humidity history and the vibration history in response to a display request from the user.

Also, "predetermined information that satisfies a predetermined condition" includes, as an initial setting, information about the estimation result of the estimation unit 31 indicating that a predetermined event has occurred. When the estimation result of the estimation unit 31 indicates the occurrence of one or more events, the predetermined information extracted from the extraction unit 33 further includes information on the type of event estimated to have occurred. Further, the predetermined information extracted from the extracting unit 33 is information that can specify the electric device AP1 that is the source of the event (for example, a circuit number such as "circuit 1", or "air conditioning 1", "lighting 1", etc.). name information of the electrical equipment AP1), and measurement information D1 of the electrical equipment AP1.

That is, in the initial settings, when it is estimated that an event has occurred, predetermined information is automatically extracted and displayed on the display units 70 and 80 without a display request from the user. ing. If the estimation result is frequently notified (displayed) from the display units 70 and 80, the user may feel uncomfortable. times) is preferably set.

The initial settings regarding the predetermined conditions can be changed based on information input through the display setting unit 7 or the mobile terminal 8. FIG. It is preferable that the change of the setting related to the predetermined condition can be performed on the display setting unit 7 and the portable terminal 8 individually.

The output processing unit 32 generates output information D3 (see FIG. 1) based on the information (predetermined information) extracted by the extraction unit 33, and sends it to the display setting unit 7 and the mobile terminal 8 via the communication unit A14. Send. The estimation system 1 is preferably configurable to transmit the output information D3 to one or both of the display setting unit 7 and the mobile terminal 8, depending on the type of event. For example, the output information D3 regarding the first event (failure) may be transmitted to both the display setting unit 7 and the mobile terminal 8, and the output information D3 regarding the second event (forgot to turn off) may be transmitted only to the mobile terminal 8. .

In this way, at least part of the measurement information D1 and the estimation result of the estimation unit 31 is transmitted to the display setting unit 7 and the portable terminal 8 and displayed on the display units 70 and 80 . Therefore, the user can visually know at least part of the measurement information D1 and the estimation result of the estimation unit 31 . As a result, user convenience is improved.

It is preferable that the output processing unit 32 causes the display units 70 and 80 to display only specific information among the measurement information D1 and the estimation result of the estimation unit 31 in a viewable manner. Setting information related to specific information is stored in the storage unit A13. In the initial setting, the specific information includes, for example, the type of event presumed to have occurred and the name information of the electrical device AP1 corresponding to the source of the event. Settings related to specific information can be changed based on information input through the display setting unit 7 or the mobile terminal 8 . It is preferable that the setting of specific information can be changed on the display setting unit 7 and the mobile terminal 8 individually.

The output processing unit 32 includes, for example, the information of the notification image S1 (see FIG. 2) that has been subjected to processing such as graphing so that the user can easily understand the change over time with respect to the measurement information D1 including the electrical history. Generate and output output information D3. As a result, the notification image S<b>1 is displayed from the display setting unit 7 and the display units 70 and 80 of the mobile terminal 8 . Note that the notification image S1 may include auxiliary information D2 as necessary.

FIG. 2 shows an example of the notification image S1. The notification image S1 includes a graph image S2 showing a bar graph of hourly (accumulated) power consumption, with the horizontal axis representing the time from 0:00 to 23:00. In addition, the notification image S1 further includes an announcement image S3 (specific information) popped up on the graph image S2. The announcement image S3 includes the type of event presumed to have occurred (failed to turn off (failed to turn off in FIG. 2)), location information (1F living room) and name information (lighting 1) of the electric device AP1 corresponding to the source of the event. , and an image area showing information on the estimated time (19:00).

The notification image S1 in FIG. 2 notifies the estimation result that it is estimated that the second event (failed to turn off) occurs in the first lighting device 111 installed in the living room on the 1st floor and connected to the branch circuit C2. An example. In the example of the notification image S1, the estimation system 1 obtains, for example, information that the user has been out of the house since 18:00. Then, the estimated result that the second event has occurred is notified. The user, for example, sees the announcement image S3 popped up on the display unit 80 of the portable terminal 8 that the user carries to know that the "lighting 1" in the living room on the 1st floor has been turned off (forgotten to turn off). The mobile terminal 8 may present the estimation result to the user by e-mail notification or push notification.

In the measurement information D1, the output processing unit 32 converts the information (for example, the most recent integrated power consumption) that causes the estimation unit 31 to estimate that an event has occurred so that it is visually easy to understand. It is preferable to display from the display units 70 and 80 by changing the display color or the like. In the example of FIG. 2, the bar indicating the accumulated power consumption at 19:00 is displayed in a different color (dot hatching in FIG. 2) from the bars indicating the accumulated power consumption at other times.

By displaying only the specific information (announcement image S3) that is greatly involved in the event from the display units 70 and 80 in a browsable form (pop-up display form), important information can be easily notified to the user. . Therefore, the user's convenience is further improved compared to, for example, the case where information that is highly likely to be judged unnecessary for the user is displayed.

Note that the extraction unit 33 may determine which information is to be extracted as the predetermined information using a learned model (a model different from the learned model M1) machine-learned about the user's preferences. Further, the output processing unit 32 uses the learned model (a model different from the learned model M1) to determine which information to display on the display units 70 and 80 in a viewable manner. good.

The learning unit 6 is configured to re-learn the learned model M1 based on the measurement information D1 acquired by the acquisition unit 2 . For example, based on the measurement information D1 including the electrical history and the operation input to the display setting unit 7 or the mobile terminal 8, the learning unit 6 determines the time period in which the user normally does not use the electrical appliance AP1, Analyze a "specific period" such as a day of the week. For example, if a new "specific period" is found outside the midnight hours, the learning unit 6 determines a high value of the second occurrence probability when the electrical appliance AP1 is in operation for the "specific period". Re-learn the second model M12 so as to output. Conversely, if the learning unit 6 finds from the above analysis that there is a high possibility that the user normally uses the electrical appliance AP1 in the middle of the night (for example, using the air conditioner in sleep mode), the learning unit 6 The second model M12 is re-learned so as to output a low value of the second occurrence probability even if AP1 is in operation during the midnight hours. By re-learning the trained model M1, the reliability of the estimation result by the estimation unit 31 is improved.

(7) Estimation of Event A series of flows relating to estimation of an event executed by the estimation system 1 will be described below with reference to FIG. Note that the flowchart shown in FIG. 3 is merely an example of the flow of event estimation according to the present disclosure, and the order of processing may be changed as appropriate, and processing may be added or omitted as appropriate.

The power measuring instrument A1 obtains a detected value regarding the current flowing through the branch circuits C1 to C4 and a detected value regarding the voltage in the branch circuits C1 to C4 at the measuring unit A11 (step ST1: current and voltage measurement). .

The power measuring instrument A1 calculates a plurality of calculation items (instantaneous power, power factor, integral power consumption, effective value of harmonic current, etc.) based on the measured current and voltage in the calculation unit A12 (step ST2: Calculation of electric power, etc.).

In the estimation system 1, the acquisition unit 2 obtains the measurement results (current and voltage) of the measurement unit A11, the instantaneous power calculated based on the measurement results, the power factor, the integrated electric energy, and the effective harmonic current Measurement information D1 including information such as values is acquired (step ST3). In other words, the estimation method in the present disclosure includes an acquisition processing step of acquiring measurement information D1 including power, power factor, and harmonic component level information calculated based on measurement results of physical quantities related to electricity.

In the function unit 4, the estimation system 1 generates auxiliary information D2 including information on the ambient temperature and humidity of the electric device AP1 detected by the temperature/humidity sensor and information on vibration of the electric device AP1 detected by the vibration sensor. acquire (step ST4).

The estimation system 1 uses the learned model M1 from the measurement information D1 and the auxiliary information D2 in the estimation unit 31 to obtain the probability of occurrence of the first event (first probability of occurrence) and the probability of occurrence of the second event ( second occurrence probability) is obtained (step ST5). Then, the estimation system 1 estimates the presence or absence of occurrence of each event from the first occurrence probability and the second occurrence probability in the estimation unit 31 (step ST6). In other words, the estimation method in the present disclosure includes an estimation processing step of estimating whether or not a predetermined event related to the electrical equipment AP1 to which electricity is supplied has occurred, based on the measurement information D1.

When the estimation unit 31 estimates that at least one of the first event and the second event has occurred (ST6: Yes), the estimation system 1 causes the output processing unit 32 to generate output information D3 including the estimation result. (step ST7). The estimation system 1 transmits the output information D3 to the display setting unit 7 and the mobile terminal 8 through the communication unit A14, and causes the display units 70 and 80 to display that an event has occurred (step ST8: event occurrence notice). Note that when the estimation unit 31 estimates that neither the first event nor the second event has occurred (ST6: No), the estimation system 1 does not notify the user and performs a series of processes related to event estimation. exit.

Thus, according to the estimation system 1, the estimation system 1 automatically estimates whether or not each event related to the electric appliance AP1 has occurred. Therefore, the possibility of fulfilling the desire to know in real time whether there is an event (failure, failure to turn off, etc.) related to the electric device AP1 can be increased. As a result, the estimation system 1 has the advantage of improving convenience for users who monitor or manage the electric appliance AP1.

In addition, the estimation system 1 acquires the auxiliary information D2 including information other than the physical quantity related to electricity, and estimates whether or not each event occurs based on both the measurement information D1 and the auxiliary information D2. reliability is improved.

In the estimation system 1, the auxiliary information D2 includes at least one of temperature, humidity, and vibration information. further improved.

In particular, the estimation system 1 uses the trained model M1 to estimate whether or not each event has occurred, so the reliability of the estimation result is further improved. In addition, by using the trained model M1, the time spent on the event estimation process can be easily shortened, and the possibility of notifying the user of the event estimation result in real time increases.

(8) Modifications The above embodiment is just one of various embodiments of the present disclosure. The above-described embodiment can be modified in various ways according to design and the like, as long as the object of the present disclosure can be achieved. Also, functions similar to those of the estimation system 1 according to the above-described embodiment may be embodied by an estimation method, a computer program, or a non-temporary recording medium recording the computer program.

Modifications of the above embodiment are listed below. Modifications described below can be applied in combination as appropriate.

The estimation system 1 in the present disclosure includes a computer system. A computer system is mainly composed of a processor and a memory as hardware. The functions of the estimation system 1 in the present disclosure are realized by the processor executing a program recorded in the memory of the computer system. The program may be recorded in advance in the memory of the computer system, may be provided through an electric communication line, or may be recorded in a non-temporary recording medium such as a computer system-readable memory card, optical disk, or hard disk drive. may be provided. A processor in a computer system consists of one or more electronic circuits, including semiconductor integrated circuits (ICs) or large scale integrated circuits (LSIs). The integrated circuit such as IC or LSI referred to here is called differently depending on the degree of integration, and includes integrated circuits called system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). In addition, a field-programmable gate array (FPGA) that is programmed after the LSI is manufactured, or a logic device capable of reconfiguring the bonding relationship inside the LSI or reconfiguring the circuit partitions inside the LSI may also be adopted as the processor. can be done. A plurality of electronic circuits may be integrated into one chip, or may be distributed over a plurality of chips. A plurality of chips may be integrated in one device, or may be distributed in a plurality of devices. A computer system, as used herein, includes a microcontroller having one or more processors and one or more memories. Accordingly, the microcontroller also consists of one or more electronic circuits including semiconductor integrated circuits or large scale integrated circuits.

Moreover, it is not an essential configuration that a plurality of functions in the estimation system 1 are integrated in one housing. For example, the components of the estimation system 1 may be distributed over multiple housings.

Conversely, multiple functions in the estimation system 1 may be integrated into one housing as in the above embodiment. Furthermore, at least part of the functions of the estimation system 1, for example, part of the functions of the estimation system 1, may be realized by cloud computing or the like.

Specifically, at least some functions of the estimation unit 31 may be realized by cloud computing. For example, FIG. 4 shows a modification of the estimation system 1 in the present disclosure. In the modification shown in FIG. 4, all the functions of the estimation unit 31 and the learning unit 6 are provided in the cloud server SV1 that constitutes part of cloud computing. A trained model M1 is also provided in the cloud server SV1. Other functions of the estimation system 1 are provided in the power meter A1 as in the above-described embodiment.

The cloud server SV1 may consist of one or more server devices. The cloud server SV1 is installed, for example, outside the facility where the power meter A1 is installed. The cloud server SV1 can communicate with the power meter A1 in the facility via a wide area network such as the Internet. The power meter A1 transmits information necessary for event estimation to the cloud server SV1, and receives the estimation result of the estimation unit 31 in the cloud server SV1 from the cloud server SV1.

The modification shown in FIG. 4 adopts a configuration in which the function of the estimation unit 31 is provided in the cloud server SV1 and realized by cloud computing. Therefore, it is possible to reduce the processing load on the user terminal (power meter A1), for example, compared to the case where all the functions of the estimation unit 31 are implemented in the user terminal (power meter A1).

The cloud server SV1 is configured to be able to communicate with a plurality of terminals (power meters A1) in a plurality of facilities, and the estimating section 31 may individually perform event estimation processing within each facility. The learning unit 6 of the cloud server SV1 may collect and analyze the measurement information D1 and the auxiliary information D2 from various user's facilities to re-learn the trained model M1.

In the embodiment described above, the estimating unit 31 of the estimating system 1 uses the trained model M1 to estimate whether or not each event occurs. However, the use of the trained model M1 is not essential in the estimation system 1. The estimation unit 31 may substitute input data (measurement information D1, auxiliary information D2, etc.) into a predetermined arithmetic expression to obtain the occurrence probability of each event, and estimate the presence or absence of each event.

In the above-described embodiment, the predetermined event includes the first event (failure) and the second event (failed to turn off) as an example. However, the predetermined events are not limited to these, and the number of predetermined events is not limited to two, but may include one event or three or more events. For example, if the electrical device AP1 is a power generation device or a power storage device, the estimation system 1 estimates from the measurement information D1 whether or not an "event" has occurred, such as the arrival of maintenance time or part replacement time for the electrical device AP1. may

By the way, if the facility is a store, an office, or the like, an entrance/exit management system, a fire alarm system, or the like may be introduced. The functional unit 4 of the estimation system 1 may acquire information other than the "physical quantity related to electricity" from these other systems.

For example, when the functional unit 4 acquires information about the presence or absence of a person in a predetermined management area such as a conference room from the entrance/exit management system as the auxiliary information D2, the second event in the estimation unit 31 (electricity Forgetting to turn off the device AP1), the reliability of the estimation is improved.

Further, for example, when the function unit 4 acquires information regarding the presence or absence of a fire within a predetermined management area from the fire alarm system as the auxiliary information D2, it determines whether the temperature rise of the temperature and humidity sensor (sensor 9) is caused by the fire. It can be used as a basis for determining whether or not As a result, the reliability of estimation of the first event (failure) and the second event (failed to turn off) in the estimation unit 31 is improved.

(summary)
The following aspects are disclosed from the embodiments and the like described above.

An estimation system (1) according to a first aspect includes an acquisition unit (2) and an estimation unit (31). An acquisition unit (2) acquires measurement information (D1) including information on at least one of power, power factor, and level of harmonic components calculated based on measurement results of physical quantities relating to electricity. An estimation unit (31) estimates whether or not a predetermined event related to an electrical device (AP1) to which electricity is supplied has occurred based on measurement information (D1).

According to the above aspect, it is automatically estimated by the estimation system (1) whether or not the predetermined event related to the electrical equipment (AP1) has occurred. As a result, the estimation system (1) has the advantage of improving convenience for users who monitor or manage the electrical equipment (AP1).

Regarding the estimation system (1) according to the second aspect, in the first aspect, the predetermined event includes at least one of failure of the electrical equipment (AP1) and forgetting to turn off the electrical equipment (AP1).

According to the above aspect, the failure of the electric device (AP1) or the occurrence of forgetting to turn off the power of the electric device (AP1) is automatically estimated by the estimation system (1), thereby improving convenience for the user. be.

An estimation system (1) according to a third aspect, in the first or second aspect, further comprises a functional unit (4) that acquires auxiliary information (D2) including information other than the physical quantity related to electricity. An estimation unit (31) estimates whether a predetermined event has occurred based on both the measurement information (D1) and the auxiliary information (D2).

According to the above aspect, the reliability of the estimation result by the estimation section (31) is improved.

Regarding the estimation system (1) according to the fourth aspect, in the third aspect, the auxiliary information (D2) includes at least one information of temperature, humidity and vibration.

According to the above aspect, the auxiliary information (D2) can be acquired by a simple method such as using a sensor, and the reliability of the estimation result by the estimation section (31) is further improved.

The estimation system (1) according to the fifth aspect is, in any one of the first to fourth aspects, an output that notifies at least part of the measurement information (D1) and the estimation result of the estimation unit (31) It further comprises a processing unit (32).

According to the above aspect, the user can know at least part of the measurement information (D1) and the estimation result of the estimating section (31), further improving user convenience.

With respect to the estimation system (1) according to the sixth aspect, in the fifth aspect, the output processing unit can view only specific information among the measurement information (D1) and the estimation result of the estimation unit (31) is displayed on the display section (70, 80).

According to the above aspect, the user's convenience is further improved, for example, compared to the case where information that is highly likely to be determined to be unnecessary for the user is displayed.

An estimation system (1) according to a seventh aspect, in the fifth or sixth aspect, extracts predetermined information that satisfies a predetermined condition from the measurement information (D1) and the estimation result of the estimation unit (31). It further comprises an extractor (33). The output processing section (32) notifies only the predetermined information extracted by the extraction section (33).

According to the above aspect, the processing load on the output processing section (32) is reduced. Also, for example, it becomes difficult for the user to be notified of information that is likely to be judged unnecessary.

Regarding the estimation system (1) according to the eighth aspect, in the seventh aspect, the predetermined information that satisfies the predetermined condition is information about the estimation result of the estimation unit (31) indicating that a predetermined event has occurred. including.

According to the above aspect, the processing load on the output processing section (32) is further reduced. In addition, for example, information that is highly likely to be judged unnecessary for the user is more difficult to be notified.

Regarding the estimation system (1) according to the ninth aspect, in any one of the first to eighth aspects, at least part of the function of the estimation unit (31) is realized by cloud computing.

According to the above aspect, it is possible to reduce the processing load on the user's terminal or the like, compared to the case where all the functions of the estimation unit (31) are implemented in the user's terminal or the like.

An estimation system (1) according to a tenth aspect, in any one of the first to ninth aspects, is a model storage unit (5) that stores a trained model (M1) machine-learned for a predetermined event Further prepare. An estimation unit (31) inputs measurement information (D1) to a learned model (M1), and estimates whether a predetermined event has occurred based on the results output from the learned model (M1). do.

According to the above aspect, the reliability of the estimation result by the estimation section (31) is improved.

In the tenth aspect, the estimation system (1) according to the eleventh aspect is a learning unit (6) that re-learns the trained model (M1) based on the measurement information (D1) acquired by the acquisition unit (2) Further prepare.

According to the above aspect, the re-learning of the trained model (M1) further improves the reliability of the estimation result by the estimation unit (31).

A power meter (A1) according to a twelfth aspect includes the estimation system (1) according to any one of the first to eleventh aspects, a measurement unit (A11), a calculation unit (A12), and a main unit (A10) and. The measurement unit (A11) measures physical quantities related to electricity. The calculation unit (A12) calculates at least one of power, power factor, and harmonic component level based on the measurement result of the measurement unit (A11). The main unit (A10) accommodates the estimation system (1), the measurement section (A11), and the calculation section (A12).

According to the above aspect, it is possible to provide the power meter (A1) that can improve the convenience of the user who monitors or manages the electrical equipment (AP1).

A distribution board (100) according to a thirteenth aspect includes the estimation system (1) according to any one of the first to eleventh aspects, a power meter (A1), and a cabinet (101). . The power measuring instrument (A1) calculates at least one of power, power factor, and harmonic component level based on the measurement result of the measuring unit (A11) that measures the physical quantity related to electricity and the measuring unit (A11). It includes an arithmetic unit (A12) that Cabinet (101) houses an estimation system (1) and a power meter (A1).

According to the above aspect, it is possible to provide the distribution board (100) that can improve the convenience of the user who monitors or manages the electric device (AP1).

An estimation method according to a fourteenth aspect includes an acquisition processing step and an estimation processing step. In the acquisition processing step, measurement information (D1) including information on at least one of power, power factor, and level of harmonic components calculated based on the measurement results of physical quantities related to electricity is acquired. In the estimation processing step, based on the measurement information (D1), it is estimated whether or not a predetermined event related to the electrical equipment (AP1) to which electricity is supplied has occurred.

According to the above aspect, it is possible to provide an estimation method that can improve the convenience of a user who monitors or manages the electric device (AP1).

A program according to the fifteenth aspect is a program for causing one or more processors to execute the estimation method according to the fourteenth aspect.

According to the above aspect, it is possible to provide a function that can improve the convenience of the user who monitors or manages the electric device (AP1).

The configurations according to the second to eleventh aspects are not essential to the estimation system (1) and can be omitted as appropriate.

1 estimation system 2 acquisition unit 31 estimation unit 32 output processing unit 33 extraction unit 4 function unit 5 model storage unit 6 learning unit 70, 80 display unit 100 distribution board 101 cabinet A1 power measuring instrument A10 main unit A11 measurement unit A12 calculation unit AP1 Electrical equipment D1 Measurement information D2 Auxiliary information M1 Learned model

Claims (15)

an acquisition unit that acquires measurement information including information on at least one of power, power factor, and harmonic component levels calculated based on measurement results of physical quantities related to electricity;
an estimating unit that estimates whether or not a predetermined event related to the electrical equipment to which the electricity is supplied has occurred based on the measurement information;
comprising
estimation system. The predetermined event includes at least one of failure of the electrical equipment and forgetting to turn off the electrical equipment.
The estimation system according to claim 1. further comprising a functional unit that acquires auxiliary information including information other than the physical quantity related to electricity;
The estimation unit estimates whether the predetermined event has occurred based on both the measurement information and the auxiliary information.
The estimation system according to claim 1 or 2. the auxiliary information includes at least one information of temperature, humidity, and vibration;
The estimation system according to claim 3. Further comprising an output processing unit that notifies at least part of the measurement information and the estimation result of the estimation unit,
The estimation system according to any one of claims 1-4. The output processing unit displays only specific information among the measurement information and the estimation result of the estimation unit on the display unit in a viewable manner and notifies it,
The estimation system according to claim 5. An extraction unit that extracts predetermined information that satisfies a predetermined condition from among the measurement information and the estimation result of the estimation unit,
The output processing unit notifies only the predetermined information extracted by the extraction unit;
The estimation system according to claim 5 or 6. The predetermined information that satisfies the predetermined condition includes information about the estimation result of the estimation unit indicating that the predetermined event has occurred.
The estimation system according to claim 7. At least some functions of the estimation unit are realized by cloud computing,
The estimation system according to any one of claims 1-8. further comprising a model storage unit that stores a learned model machine-learned for the predetermined event;
The estimating unit inputs the measurement information to the learned model, and estimates whether the predetermined event has occurred based on a result output from the learned model.
The estimation system according to any one of claims 1-9. Further comprising a learning unit for re-learning the learned model based on the measurement information acquired by the acquisition unit;
The estimation system according to claim 10. an estimation system according to any one of claims 1 to 11;
a measuring unit that measures physical quantities related to electricity;
a calculation unit that calculates at least one of the power, the power factor, and the level of the harmonic component based on the measurement result of the measurement unit;
a main unit that houses the estimation system, the measurement unit, and the calculation unit;
comprising
power meter. an estimation system according to any one of claims 1 to 11;
A power measuring instrument comprising: a measuring unit that measures the physical quantity related to electricity; and a computing unit that computes at least one of the power, the power factor, and the level of the harmonic component based on the measurement result of the measuring unit. and,
a cabinet that houses the estimation system and the power meter;
comprising
Distribution board. an acquisition processing step of acquiring measurement information including information on at least one of power, power factor, and level of harmonic components calculated based on measurement results of physical quantities related to electricity;
an estimation processing step of estimating whether or not a predetermined event related to the electrical equipment to which the electricity is supplied has occurred based on the measurement information;
including,
estimation method. A program for causing one or more processors to execute the estimation method according to claim 14.

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