JP5191412B2 - Behavior discrimination system - Google Patents

Description

This invention also relates to the behavior determining system to determine the home or the like of the people.

  A system for determining whether a person is at home is used, for example, when confirming the safety of a person. For this reason, there is a system that uses an electric device used in the home of a subject who is at home or asks about safety (for example, see Patent Document 1). In this system, a generator for generating a harmonic current is attached to a specific electrical device used by a subject. When certain electrical equipment is turned on, the generator generates harmonics.

  In such a state, the operating state of a specific electrical device is examined based on the load voltage and the harmonic current and voltage included in the load current measured in the vicinity of the inlet of the lead-in wire of the subject's house. Thereby, the information showing the safety of the target person is transmitted to the person watching the target person.

JP 2004-38765 A

  By the way, the system described above has the following problems. In the previous system, in order to send the target person's home and safety to the person watching, a specific electrical device is selected from each electrical device in the home, and a generator that generates harmonics in this electrical device is installed. It is necessary to install. At this time, since devices other than specific electrical devices also generate harmonics when they are on, it is necessary to check in advance the harmonics generated by each device and adjust the frequency of the harmonics output by the generator. is there.

  Furthermore, the conventional system checks whether the target person is at home or on safety by turning on / off a specific electric device. However, in recent years, since there are various welfare services, when the target person is an elderly person, the behavior pattern of the elderly person is also diversified. For this reason, there also exists a subject that ON / OFF of a specific electric equipment does not lead to a subject's home and safety.

The purpose of this invention is to solve the above problems, eliminates the need for adjustment related to the electrical device, moreover, to provide an action determination system that can reliably determine the like home-absence watching target person It is in.

In order to solve the above-mentioned problem, the invention of claim 1 is a behavior determination system for determining whether or not a target person is at home, provided at the target person's home, and every predetermined time of the target person's home. A measuring device that measures the amount of power consumption, a first communication device that is provided in the subject person's home and that transmits power consumption per predetermined time measured by the measuring device to a communication network, and the state of the subject A terminal that transmits the inquiry to the communication network and a management side, and receives the inquiry from the terminal and the power consumption per predetermined time from the measurement device via the communication network. A communication device and an operation mode estimation function that is provided on the management side and outputs an on / off operation mode according to a power consumption amount pattern of each electric device is stored corresponding to each electric device, and Attributes such as the age of the subject and the above Stores a home estimation function that outputs a home / absence action mode according to the operation mode of the care device, and stores power consumption per predetermined time received by the second communication device When the second communication device receives an inquiry from the device and the terminal, it represents the transition of the power consumption amount of the target person's house based on the power consumption amount per predetermined time stored in the storage device Create a power consumption pattern, from the power consumption pattern of the subject person's house, determine the electrical equipment used in the subject person's house and the power consumption pattern of the used electrical equipment, each obtained by the discrimination The on / off operation mode of each electric device is estimated by the power consumption pattern of the electric device and the operation mode estimation function of each electric device stored in the storage device, and then the estimated each Estimating the home / absence behavior mode of the subject using the on / off operation mode of the air appliance and the home estimation function stored in the storage device and corresponding to the attribute of the subject. And a processing device that transmits the estimation result to the terminal via the communication device .

In the invention of claim 1, in order to determine whether the subject is at home, the storage device determines whether the subject is at home according to an attribute such as the age of the subject from the operation state of whether the electric device is operating. Is stored as a function relationship (operation mode estimation function and at-home estimation function) . In such a state, the processing device estimates the current home state of the subject using the functional relationship stored in the storage device with respect to the operating state of the electrical equipment in the subject's home.

According to a second aspect of the invention, on the action determination system according to claim 1, operation mode estimation function stored in the storage device, when electrical equipment is a television, with respect to power consumption for continuous The operation mode is output.

A third aspect of the present invention, the action determination system according to claim 1 or 2, operating mode estimation function stored in the storage device, when electrical equipment is an air conditioner, with respect to the power consumption intermittent And outputting an ON operation mode.

According to the first aspect of the present invention, since the target person's attributes are reflected when the home state of the target person is estimated from the operation state of the electric device, the current home state of the target person suitable for the age of the target person is reflected. The state can be determined.

According to the second aspect of the present invention , the ON operation mode can be output with respect to the continuous power consumption as in the television.

According to the third aspect of the present invention, it is possible to output an ON operation mode with respect to intermittent power consumption as in an air conditioner.

It is a block diagram which shows the action discrimination | determination system by Embodiment 1. FIG. It is a block diagram which shows a management server. It is a figure which shows an example of a user table. It is a figure which shows an example of a watching target person table. It is a figure which shows an example of an electric energy table. It is a figure which shows an example of an electric equipment table. It is a figure which shows an example of an attribute table. It is a figure which shows an example of an estimation table. It is a flowchart which shows an action discrimination | determination process. It is a flowchart which shows an action discrimination | determination process. It is a flowchart which shows a pattern matching process. It is a flowchart which shows a driving | running state determination process. It is a figure which shows the mode of noise removal. It is a figure which shows an apparatus pattern. It is a figure which shows the mode of a pattern matching process. It is a figure explaining an operation mode estimation function, Fig.16 (a) shows the case where an electric equipment is a television, FIG.16 (b) is a figure which shows the case where an electric equipment is an air conditioner. It is a figure explaining the estimation of the action mode by a driving mode estimation function, Fig.17 (a) shows the case of an elementary school student, and FIG.17 (b) is a figure which shows the case of a single elderly person. It is a figure explaining estimation of action mode. 6 is a configuration diagram showing a distribution board used in Embodiment 2. FIG.

  Next, embodiments of the present invention will be described in detail with reference to the drawings. In each of the following embodiments, as an example of the determination of a person's behavior, a case where the target person is watched at home is taken as an example.

(Embodiment 1)
The behavior discrimination system according to this embodiment will be described with reference to FIGS. The behavior determination system in FIG. 1 includes a communication control device 11, a management server 12, a database (DB) server 13, and a management terminal that provide a management center that provides a service for watching a target person (hereinafter referred to as “behavior determination service”). 14, and a communication control device 21 and a measurement unit 22 are provided in a house of a person to be watched (hereinafter referred to as “watching person”). In addition, there may be a personal computer (PC) 23 in the monitoring subject's home. Furthermore, in this embodiment, the user of the behavior determination service uses the mobile phone 30 as a terminal. The management center and the monitoring subject's house are in a state where data can be transmitted and received via the communication network NW. The management center is installed in an electric power company or in a company that has a cooperative relationship with the electric power company. The management center can receive various data from the electric power company.

  Electricity is supplied from the distribution line 101 of the power company to the person being watched over. Electricity from the distribution line 101 is branched by the distribution board 112 through the watt-hour meter 111 installed in the monitoring target person's house. The electricity branched by the distribution board 112 is supplied to a television (TV) 121, a refrigerator 122, an air conditioner 123, and the like through an outlet (not shown) installed in the monitoring subject's home.

  The communication control device 21 installed in the watching target person's house is like a router, and enables data communication via the communication network NW. At this time, the communication control device 21 transmits the data from the local area network 21A in the home, that is, the recording data from the measurement unit 22 and the data from the personal computer 23 to the management center via the communication network NW. .

  The measuring unit 22 is a device that records electricity consumed in the watching target person's house. In this embodiment, the measurement unit 22 records the amount of power consumed for 10 minutes through the distribution board 112 (hereinafter referred to as “power consumption amount”), for example. Furthermore, the measurement unit 22 uses the recorded power consumption and the meter number of the watt hour meter 111 as recorded data, and the recorded data is recorded at a predetermined interval, for example, once every 10 minutes, for example, in the local area network of the person being watched over. 21A, the communication control device 21, the communication network NW, the communication control device 11 and the local area network 11A described later are transmitted to the management server 12 of the management center. In the following description, the local area network 21A and the communication control device 21, the communication network NW, the communication control device 11 and the local area network 11A of the management center, which are passed through when transmitting and receiving data, are omitted. I will explain.

  Similar to the communication control device 21, the communication control device 11 of the management center enables data communication via the communication network NW. That is, the communication control device 11 is a person who watches over the target person via the communication network NW, for example, data from the local area network 11A in the company, for example, data from the management server 12, and an action determination service. To the mobile phone 30 of the user (hereinafter simply referred to as “user”), and the data from the mobile phone 30 of the user is sent to the management server 12.

  The management terminal 14 of the management center is a dedicated management computer operated by a person in charge. The management terminal 14 performs, for example, new registration of a user of the behavior determination service to the management server 12 by the operation of the person in charge.

  The database server 13 of the management center is a dedicated computer for storing and managing data required for the behavior discrimination service. The database server 13 stores the following various data as a database.

  The data stored in the database server 13 includes a user table. The user table records a list of users who have applied for use of the behavior discrimination service. An example of this user table is shown in FIG. In the user table, the name of the user, an ID (IDentification) for identifying the user, and a password are recorded. In the user table, the identification number of the person to be watched over that the user desires to watch is recorded. Further, an e-mail address or the like is recorded in the user table as a user contact address.

  The data stored in the database server 13 includes a watching target person table. The watching target person table records attributes such as the name, age, sex, and current state of the watching target person. The current status in the attribute represents the current status of the person being watched over, and includes, for example, elementary school students, single employees, elderly people living alone, and the like. An example of the watching target person table is shown in FIG. In this watching target person table, the identification number of the watching target person, the name of the watching target person, and the attributes of the watching target person are recorded. Moreover, the meter number of the watt-hour meter installed in the watching target person's house is recorded in the watching target person table.

  The data stored in the database server 13 includes an electric energy table. The power amount table is power consumption data created for each instrument number. The power consumption table records the power consumption for each predetermined time. An example of the power amount table is shown in FIG. In this power amount table, the power consumption every 10 minutes is recorded up to the present time every day corresponding to the instrument number.

The data stored in the database server 13 includes an electrical device table. The electrical device table stores a pattern of power consumption over time based on power consumption per predetermined time when the electrical device is used. For example, an average power consumption pattern created from power consumption every 10 minutes in a large number of electrical devices is stored. The electrical equipment table stores an operation mode estimation function. The operation mode estimation function estimates a device operation state (hereinafter referred to as “operation mode”) indicating on / off of the electric device from a power consumption pattern (hereinafter referred to as “device pattern”) of the electric device. An electrical device on indicates that the switch was “on” to move the electrical device, and an electrical device off indicates that the switch was “turned off” to stop the electrical device. An example of this electrical equipment table is shown in FIG. In this electrical device table, device names representing electrical devices are stored. The electrical device table stores a pattern identification number for identifying a device pattern corresponding to a device name such as a television, a refrigerator, or an air conditioner. The operation mode estimation function Y = f ₁ (X), Y = f ₂ (X), Y = f ₃ (X), and the like are stored.

  The data stored in the database server 13 includes an attribute table. The attribute table stores an estimation table corresponding to the attributes of the person being watched over. The estimation table is for selecting a home estimation function, and the home estimation function is used when estimating the home / unknown / absence state of the person being watched over from the operation mode of the electric device. An example of this attribute table is shown in FIG. In this attribute table, the watching target person is subdivided according to the age, sex, and current state of the watching target person. The attribute table stores the table identification number of the estimation table corresponding to the subdivided classification.

The data stored in the database server 13 includes an estimation table. The estimation table is data created for each table identification number, and stores an average at-home estimation function created based on a large number of electrical devices. An example of the estimation table is shown in FIG. This estimation table stores at-home estimation functions Z = g ₁ (Y), Z = g ₂ (Y), Z = g ₃ (Y), etc., corresponding to the names of devices such as TVs, refrigerators, and air conditioners. Has been.

  The management server 12 is a dedicated computer for providing a user with a behavior discrimination service. As shown in FIG. 2, the management server 12 includes a processing unit 12A, a storage unit 12B, a display unit 12C, and a communication unit 12D. The communication unit 12D is an interface that transmits and receives data to and from the local area network 11A under the control of the processing unit 12A. The display unit 12C displays the operating state of the management server 12 and the like under the control of the processing unit 12A. The storage unit 12B is a storage device that stores data. The storage unit 12B stores a program necessary for the operation of the management server 12 in advance. Further, the storage unit 12B temporarily stores data as necessary when executing the program.

  The processing unit 12A executes various programs stored in the storage unit 12B. The program executed by the processing unit 12A includes a reception process. When the processing unit 12A receives the recording data from the watching target person's home, the processing unit 12A records the power consumption amount in the power amount table based on the meter number of the recording data, and updates the power amount table.

  The program executed by the processing unit 12A includes an action determination process. This behavior determination process is shown in FIGS. When the processing unit 12A of the management server 12 receives, for example, a request for using the behavior determination service from the user's mobile phone 30, the processing unit 12A starts the behavior determination processing shown in FIGS. A screen is displayed (step S1). On this initial screen, an instruction for inputting the user ID and password is displayed. Thereafter, the management server 12 waits for input of an ID and a password (step S2). When determining that the ID and password have been input (step S3), the processing unit 12A refers to the user table from the ID and password and determines whether the user is appropriate (step S4).

  When the confirmation of the user is completed in step S4, the processing unit 12A confirms the watching target person registered in the user table (step S5). Thereafter, the processing unit 12A refers to the watching target person table based on the identification number of the watching target person and checks the meter number of the watt-hour meter installed in the watching target person's house (step S6). When step S6 ends, the processing unit 12A refers to the power amount table corresponding to the meter number of the watt hour meter, and checks the power consumption amount recorded every predetermined time (step S7). Thereafter, the processing unit 12A creates a power consumption amount pattern representing a transition of the power consumption amount at the watching target person's house for a predetermined time from the power consumption amount for every predetermined time (step S8). When step S7 ends, the processing unit 12A performs noise removal processing on the power consumption pattern and removes noise from this pattern (step S9). This is shown in FIG. In FIG. 13, the noise N is removed from the measured power consumption pattern.

  When step S9 ends, the processing unit 12A performs a pattern matching process (step S10). This pattern matching process is shown in FIG. When the pattern matching process is started, the processing unit 12A refers to the electrical device table and selects one device pattern of the electrical device (step S21). For example, in the case of the electrical apparatus shown in FIG. 6, as shown in FIG. 14, one is selected from each power consumption pattern. After step S21, the processing unit 12A compares the power consumption pattern of the watching target person's house created in step S9 with the power consumption pattern selected in step S21 (step S22). It is determined whether or not an electric device is being used (step S23). When determining by comparing the two patterns, the processing unit 12A determines that the selected electrical device is used when at least a part of the pattern of the selected electrical device matches. For example, when the pattern of the power consumption of the person being watched over is the pattern shown in FIG. 13 and the pattern of the selected electrical device is the pattern of the television shown in FIG. 14, the pattern of FIG. Since the lengths pa and the like substantially match and have a continuous portion, the processing unit 12A determines that the television is included in the power consumption pattern of FIG. 13 and that the television is used.

  If it is determined in step S23 that the selected electrical device is being used, the processing unit 12A stores the electrical device and the device pattern of the electrical device, that is, the device pattern of the currently used electrical device, in the storage unit 12B. Store (step S24). When step S24 is completed or when it is determined in step S23 that the two patterns do not match, the processing unit 12A determines whether there is an unselected device pattern in the electrical device table (step S25). If there is an unselected electrical device pattern, the processing unit 12A selects one of the unselected device patterns (step S26), and returns the process to step S22. If there is no unselected electrical device pattern, the processing unit 12A ends the pattern matching process.

  By such pattern matching processing, the processing unit 12A uses the pattern of the power consumption at the watching target person's house to determine the component of the electric device used at the watching target person's house or the component of the used electric device. Determine. For example, when the power consumption pattern of the person being watched over is as shown in FIG. 13, the processing unit 12A uses a television and an air conditioner as electrical devices as shown in FIG. 15 by pattern matching processing. It turns out.

When the pattern matching process in step S10 ends, the processing unit 12A performs an operation state determination process shown in FIG. 12 (step S11). When the processing unit 12A starts the operation state determination process, the processing unit 12A selects one of the electrical devices selected in the pattern matching process and stored in the storage unit 12B (step S41). Thereafter, the processing unit 12A refers to the electrical device table and extracts an operation mode estimation function corresponding to the electrical device selected in step S41 (step S42). When the operation mode estimation function is extracted, the processing unit 12A estimates the operation mode of the selected electrical device using this function (step S43). For example, when the electrical device is a television, the processing unit 12A extracts the operation mode estimation function Y = f ₁ (X) of the television from the electrical device table. In the operation mode estimation function of the television, the value X represents the power consumption amount, and the value Y represents the operation mode. Then, as shown in FIG. 16 (a), when the electrical device is a television, the television operating mode of the estimation function Y = f 1 _(X), to the continuous and value X (power consumption) , Output the ON operation mode. In this way, the processing unit 12A estimates the TV on / off operation mode that matches the TV power consumption pattern. In addition, as shown in FIG. 16B, when the electrical device is an air conditioner, the operation mode estimation function Y = f ₃ (X) of the air conditioner is based on an intermittent value X (power consumption). Outputs the ON operation mode. In this way, the processing unit 12A estimates an air conditioner on / off operation mode that does not match the pattern of the power consumption of the air conditioner.

  When step S43 ends, the processing unit 12A refers to the watching target person table and checks the attributes of the watching target person (step S44). Thereafter, the processing unit 12A refers to the attribute table and selects an estimation table corresponding to the attribute of the watching target person (step S45). Thereafter, the processing unit 12A selects a home estimation function corresponding to the electrical device selected in step S41 from the selected estimation table (step S46).

Thereafter, the processing unit 12A estimates the home state of the watching target person using the operation mode estimated in Step S43 and the home estimation function selected in Step S46 (Step S47). For example, when the watching target person is a boy of an elementary school student, when the elementary school student watches television, the processing unit 12A selects the home estimation function Z = g ₁ (Y). In the home estimation function, the value Y represents the operation mode of the electric device, and the value Z represents the home / unknown / absence behavior mode. As shown in FIG. 17 (a), the home estimation function Z = g ₁ (Y) sets the time and behavior mode corresponding to the boys of elementary school students at home even when the TV operation mode changes from on to off. To do.

On the other hand, when the watching target person is an elderly person living alone, when the elderly person watches the television in the same manner, the home estimation function Z = g _n (Y) is selected. Then, as shown in FIG. 17B, even if the TV operation mode is changed from on to off, the behavior mode is set at home for a length of time different from that of elementary school students. In other words, elementary school boys and solitary elderly people have different behavior after watching TV at the same time. For example, whether a boy who is an elementary school student goes out in a short time after watching a scheduled program, but an old man living alone stays at home, such as being home or absent depending on the attributes of the person being watched over Is different.

  In this way, the processing unit 12A uses the home estimation function selected according to the attributes of the person being watched over, and depending on the operation mode of the electrical equipment, that is, on / off, the action mode of the person being watched over, that is, home / unknown / absent Is estimated. In this embodiment, unknown represents a state that is neither home nor absent.

  When step S47 is completed, the home state pattern representing the home / unknown / absence state in time series, which is the home state estimation result, is stored in the storage unit 12B (step S48). Thereafter, the processing unit 12A determines whether there is an unestimated electrical device (step S49). If there is an unestimated electrical device pattern, the processing unit 12A selects one of the unestimated electrical devices (step S50), and returns the process to step S42. If there is no unestimated electrical device pattern in step S49, the processing unit 12A ends the operation state determination processing in step S11. In this way, the home state / unknown / absence pattern in consideration of the attributes of the person being watched over is estimated from the power consumption of the electric device by the operation state determination process.

  When step S11 ends, the processing unit 12A synthesizes the home / unknown / absence patterns stored in the storage unit 12B, that is, the home state pattern (step S12). The processing unit 12A determines whether the person to be watched is at home / unknown / absent at the time when the use of the behavior determination service is requested (step S13), using the combined result in step S12. Thereafter, the processing unit 12A outputs the determination result to the terminal of the user who has made a use request for the behavior determination service, that is, the mobile phone 30 or a personal computer (not shown) (step S14). Then, when the processing unit 12A determines that the ID and password are not input even after the predetermined time has elapsed in step S3, the user is determined not to be appropriate in step S4, or when step S14 ends, The discrimination process is finished.

  Next, a behavior discrimination method using the behavior discrimination system according to this embodiment will be described.

  In order to perform the behavior discrimination service, the management center collects data for creating an attribute table. For this purpose, the management center collects data by handing over a dedicated terminal for data collection to data collection cooperators (including the person being watched over), and uses the personal computer 23 used in the house of the person being watched over. And collect data. When a dedicated terminal is used, the collaborator's attributes, such as “what are you doing now” or “are you watching TV now”, etc. at a predetermined time for the dedicated terminal? Ask questions related to the usage and behavior of electrical equipment using voice guidance and have the response entered on the dedicated terminal. Even when the personal computer 23 is used, the response contents are similarly input by voice guidance in response to an instruction from the management center.

  When data is collected on the management center side, the person in charge of the management center operates the management terminal 14, sums up the response contents of each collaborator, and operates to indicate on / off of the electrical equipment according to the attribute of the collaborator. The relationship between the mode and the behavior mode indicating the home / unknown / absence of the cooperator is reflected in the home estimation function. In this way, the management center side periodically collects response contents from the cooperators, and updates the electrical device table and attribute table of the database server 13.

  On the other hand, in the person being watched over, the measurement unit 22 records the amount of power consumed for 10 minutes. The data recorded by the measuring unit 22 is sent to the power company as recorded data and also sent to the management center. When the management server 12 of the management center receives the recording data from the measurement unit 22, it records this data in the power amount table of the database server 13 by reception processing.

  In such a state, a user who uses the behavior discrimination service inquires of the management center about the state of the person being watched over. For this purpose, the user operates the mobile phone 30 to input the use of the behavior discrimination service. When the management server 12 of the management center receives a request for using the behavior determination service from the mobile phone 30, the management server 12 starts a behavior determination process. At this time, if the ID and password received from the mobile phone 30 are appropriate, the management server 12 performs a pattern matching process, a driving state determination process, and a behavior determination process of the action determination process, and the current state of the person being watched over, that is, Determine whether the person being watched over is at home, unknown, or absent.

  For example, as shown in FIG. 18, when the television is used from time T1 to time T2, when the user uses the behavior determination service at time T11, the operation mode of the television is on at time T11. When the watching target person is an elementary school student, since the operation mode of the television is on, the management server 12 determines that the elementary school student is at home based on the operation mode estimation function and the at-home estimation function. The same applies when the person being watched over is an elderly person living alone.

  On the other hand, when the user uses the behavior determination service at time T12, the operation mode of the television is off at time T12. When the person being watched over is an elementary school student, the management server 12 determines that the person is absent from the home estimation function. When the person to be watched over is an elderly person living alone, the management server 12 determines that the person is at home based on the home estimation function.

  After performing the discrimination in this way, the management server 12 sends the current state of the person being watched over, which is the discrimination result, to the mobile phone 30 that has made a use request for the behavior discrimination service. At this time, the power consumption pattern created in step S8 or the device pattern stored in step S24 may be transmitted together with the current state.

  When receiving the current state of the person being watched over, the mobile phone 30 displays this state. In addition, when a power consumption pattern or device pattern of an electrical device is received, these patterns are also displayed. Thereby, the user can grasp at-home / unknown / absence of the person being watched over.

  Thus, according to this embodiment, when determining the home / unknown / absence of the person being watched from the power consumption of the electrical device, the action pattern created based on the attributes of the person being watched is reflected. It is possible to determine whether the person being watched over who lives a diversified life is at home, unknown, or absent.

  Moreover, according to this embodiment, since the operation pattern of each electric device is generated based on the power consumption consumed in the watching target person's house, when the electric device in the house is changed or added However, it is possible to immediately respond to installation / change of new electrical equipment. Furthermore, unlike conventional devices that eliminate the need for devices that generate harmonics in response to electrical equipment, there is no need to make adjustments at the management center even if electrical equipment is added at the monitoring target's home. .

(Embodiment 2)
In the first embodiment, the electric device operated by the pattern matching process is examined from the amount of power consumed in the watching target person's house. In this embodiment, the operated electric device is examined using the measurement unit 22. For this purpose, the distribution board 112 used in this embodiment is the one shown in FIG. In this embodiment, components that are considered to be the same as or the same as those of the above-described embodiment are denoted by the same reference numerals, and description thereof is omitted. The distribution board 112 shown in FIG. 19 has an overcurrent breaker 112A that detects and cuts off an overcurrent, a branch circuit 112B for branching electricity, and a leakage current of each distribution line through which a current branched by the branch circuit 112B flows. Earth leakage breakers 112C _{1 to} 112C _n that detect and shut off are provided.

In addition, the measurement unit 22 according to this embodiment includes current sensors 22 _{1 to} 22 _n installed on the distribution board 112. The current sensors 22 _{1 to} 22 _n measure the current that flows through the branch circuit 112B of the distribution board 112 and sends the measurement results to the measurement unit 22, respectively. Usually, the electricity branched by the branch circuit 112B is consumed by the television 121, the refrigerator 122, the air conditioner 123, and the like connected in advance to the branch destination. That is, the current measured by the current sensors 22 _{1 to} 22 _n corresponds to each electrical device in the monitoring subject's house. Measurement unit 22, from the current sensor 22 ₁ through 22 _n, when receiving these measurement results, continue to record data representing the consumption of electricity. In this embodiment, the measurement unit 22 records a pattern of power consumption of each electric device. Then, the measurement unit 22 adds identification information indicating the television 121, the refrigerator 122, the air conditioner 123, and the instrument number of the watt hour meter 111 to the data indicating the power consumption pattern, and adds the identification information. Sent the data to the management center.

  When the management server 12 of the management center receives the power consumption data from the monitoring target person's house during the behavior discrimination service, the processing unit 12A of the management server 12 determines the monitoring target person from the instrument number added to the received data. Confirm the home and identify the electrical equipment from the identification information. When the specification of the electrical device is completed, the processing unit 12A stores the pattern of the power consumption amount of the electrical device indicated by the received data in the storage unit 12B.

  Thereby, the pattern matching process performed by the management server 12 can be omitted, and the burden on the management server 12 can be reduced.

  As mentioned above, although each embodiment of this invention has been described in detail, the specific configuration is not limited to each embodiment, and even if there is a design change or the like without departing from the gist of this invention, It is included in this invention. For example, in each embodiment, the amount of power consumed is used as the electricity consumed in the subject person's home or the electricity consumed by each electrical device. However, instead of the amount of power consumed, the amount of electricity consumed every predetermined time is used. An instantaneous value, that is, electric power may be used. In addition to the age and the like, various elements such as a family structure may be included as the attributes of the person to be watched over.

11 Communication control device (first communication device)
12 Management server (processing device)
13 Database server (storage device)
14 Management terminal 21 Communication control device (second communication device)
22 Measuring unit (measuring device)
121 TV (electric equipment)
122 Refrigerator (electric equipment)
123 Air conditioner (electrical equipment)

Claims (3)

An action discrimination system that determines whether the subject is at home or not,
A measuring device provided at a target person's house and measuring power consumption per predetermined time of the target person's house;
A first communication device that is provided at the target person's house and that transmits power consumption per predetermined time measured by the measurement device to a communication network;
A terminal that transmits an inquiry about the state of the target person to the communication network;
A second communication device provided on the management side for receiving an inquiry from the terminal and a power consumption per predetermined time from the measurement device via the communication network;
An operation mode estimation function that is provided on the management side and outputs an on / off operation mode according to the power consumption pattern of each electric device is stored corresponding to each electric device, and the age of the target person The home estimation function for outputting the home / absence behavior mode is stored in accordance with the attribute such as the operation mode of the electric device, and the power consumption per predetermined time received by the second communication device is stored. A storage device that memorizes,
When the second communication device receives an inquiry from the terminal, the power consumption amount representing the transition of the power consumption amount of the target person's house based on the power consumption amount for each predetermined time stored in the storage device Create a pattern, determine the power consumption pattern of the electric equipment used in the target person's house and the used electric equipment from the power consumption pattern of the target person's house, The on / off operation mode of each electric device is estimated from the power consumption pattern and the operation mode estimation function of each electric device stored in the storage device. And a home estimation function that is stored in the storage device and corresponds to the attribute of the subject, and estimates the home / absence behavior mode of the subject. Via the communication apparatus, a processing apparatus for transmitting the estimation result to the terminal,
An action discrimination system comprising: Operation mode estimation function stored in the storage device, electrical equipment may be a television, and outputs the operation mode on relative power consumption for continuous,
The behavior discrimination system according to claim 1. The storage device drive mode estimation function stored in the case electrical equipment is an air conditioner, outputs an operation mode of on for the power consumption intermittent,
The behavior discrimination system according to claim 1 or 2, wherein

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