JP2023123176A - Method for processing information, program, information processor, and information processing system - Google Patents

Abstract

To provide a method for processing information which can efficiently output information on health measures of a user on the basis of the usage amount of gas, electricity, and water.SOLUTION: The method for processing information includes: acquiring information on a usage time zone and user identification information for identifying a user to usage amount data formed by relating the usage amount of electricity, gas, and water of the user; deriving information on actions at home of the user on the basis of the acquired usage amount data; and outputting advice information on health measures of the user on the basis of the derived information on actions at home of the user.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing method, a program, an information processing apparatus, and an information processing system.

An energy database system is known that allows a management system operating company, which is different from utility supply companies such as gas, electricity, and water supply companies, to perform meter monitoring without handling personal information (for example, Patent Document 1).

JP 2018-173691 A

However, the system described in Patent Literature 1 does not consider deriving information on health measures for consumers who use gas, electricity, and water based on the amount of gas, electricity, and water used.

SUMMARY OF THE INVENTION The present invention has been made in view of such circumstances, and it is an object of the present invention to provide an information processing method and the like for efficiently outputting information on consumer health measures based on the amount of gas, electricity, and water used. do.

An information processing method according to an aspect of the present disclosure relates to the amount of electricity used, the amount of gas used, and the amount of tap water used by a consumer, in which information about a usage time zone and consumer identification information that identifies the consumer are associated with each other. Data is acquired, information on the home behavior of the consumer is derived based on the acquired usage data, and advice information on health measures of the consumer is output based on the derived information on the home behavior.

A program according to an aspect of the present disclosure is used in a computer in which information about usage hours and consumer identification information that identifies a consumer are associated with electricity usage, gas usage, and tap water usage by a consumer. A process of acquiring amount data, deriving information about the consumer's home behavior based on the obtained usage data, and outputting advice information about the consumer's health measures based on the derived information about the home behavior. to run.

An information processing apparatus according to an aspect of the present disclosure relates to the amount of power consumption, the amount of gas used, and the amount of tap water used by a consumer, which is associated with information on the usage time zone and consumer identification information that identifies the consumer. an acquisition unit that acquires data; a derivation unit that derives information regarding the home behavior of the consumer based on the obtained usage data; and advice on health measures for the consumer based on the derived information regarding the home behavior. and an output unit for outputting information.

An information processing system according to an aspect of the present disclosure includes an electric power smart meter that outputs the amount of electricity used by a consumer, a gas smart meter that outputs the amount of gas used by the consumer, and an amount of tap water used by the consumer. An information processing system including a tap water smart meter that outputs the acquiring the power usage from the power smart meter, acquiring the gas usage from the gas smart meter, acquiring the tap water usage from the tap water smart meter, and obtaining the power usage; storing in a storage area accessible from the own device, usage amount data in which information on usage time periods and consumer identification information for identifying the consumer are associated with the gas usage amount and the tap water usage amount; Based on the usage data stored in the storage area, information regarding the consumer's behavior at home is derived, and based on the derived information regarding the consumer's behavior at home, advice information regarding health measures for the consumer is output.

According to one aspect of the present disclosure, it is possible to provide an information processing method or the like for efficiently outputting information regarding health measures of consumers based on the amounts of gas, electricity, and water used.

1 is an explanatory diagram showing an overview of an information processing system according to Embodiment 1; FIG. 1 is a block diagram showing a configuration example of an information processing device and the like; FIG. FIG. 4 is an explanatory diagram illustrating a data layout of a consumer master table; FIG. FIG. 10 is an explanatory diagram illustrating a data layout of a usage amount table; 3 is a functional block diagram illustrating functional units included in a control unit of the information processing apparatus; FIG. FIG. 10 is an explanatory diagram of processing for generating a learning model (in-home behavior model); 4 is a flow chart showing an example of a processing procedure by a control unit of an information processing device; FIG. 10 is an explanatory diagram showing an outline of an information processing system according to Embodiment 2 (health equipment information); 3 is a functional block diagram illustrating functional units included in a control unit of the information processing apparatus; FIG. FIG. 10 is an explanatory diagram illustrating a data layout of an advice table; 4 is a flow chart showing an example of a processing procedure by a control unit of an information processing device; FIG. 10 is a diagram illustrating an example of an advice screen including advice information and the like;

BEST MODE FOR CARRYING OUT THE INVENTION The present invention will be specifically described based on the drawings showing its embodiments. An information processing apparatus 1 and the like according to embodiments of the present disclosure will be described below with reference to the drawings. The present invention is not limited to these examples, but is indicated by the scope of the claims, and is intended to include all modifications within the scope and meaning equivalent to the scope of the claims.

(Embodiment 1)
Hereinafter, the present disclosure will be specifically described with reference to the drawings showing embodiments. FIG. 1 is an explanatory diagram showing an overview of an information processing system S according to the first embodiment. FIG. 2 is a block diagram showing a configuration example of the information processing apparatus 1 and the like. The information processing system S includes an electric power smart meter H1 (E smart meter), a gas smart meter H2 (G smart meter), and a tap water smart meter H3 (A smart meter) provided in the building H of the consumer, and from these smart meters and an information processing device 1 that acquires and stores usage data including output power usage, gas usage, and tap water usage.

The information processing device 1 connects, for example, a terminal device (facility manager-side terminal device T2) of a facility manager (management company) who manages a building H of a consumer and a consumer via an external network N such as the Internet. (demand side terminal device T1), and information output from the information processing device 1 is displayed on a display unit (not shown) of these terminal devices. For each energy company that provides usage data (electricity usage, gas usage, and tap water usage), each consumer sets whether or not they have permission to use the usage data of the consumer. It is

The usage data output from the electric power smart meter H1, the gas smart meter H2, and the tap water smart meter H3 installed in the building H for each of a plurality of consumers includes identification information for identifying the consumer (consumer ID) is included or associated with it. Therefore, the information processing device 1 automatically collects usage data including power usage, gas usage, and tap water usage output from the smart meter based on the consumer ID associated with the usage data. It can be registered in a database (usage amount table 32) stored in the storage unit 3 of the device.

The information processing device 1 derives information (in-home behavior information) about the consumer's behavior at home based on the acquired usage data, and takes health measures including frailty measures for the consumer in accordance with the derived at-home behavior information. generate advisory information for The information processing device 1 outputs the in-home behavior information and the advice information to the facility manager side terminal device T2, the consumer side terminal device T1, or both terminal devices. Although the details will be described later, the in-home behavior information includes at least one or more of information regarding the consumer's home, sleep, bathing, self-cooking, and toilet use in the building or facility where the consumer lives or moves in. .

The information processing device 1 allows the consumer to use usage data from the consumer terminal device T1 of the consumer who is a resident of the building H or from the facility manager terminal device T2 of the manager of the building H. Acquisition of information (usage permission data) on permission and registration in the database (consumer master table 31) stored in the storage unit 3 of the device itself. Although the details of the consumer master table 31 will be described later, based on the presence or absence of a license from each consumer, in handling usage data acquired from each smart meter in each consumer's building H, the licensed consumer The usage data of users without permission may be processed by distinguishing or differentiating them from usage data of users without license.

The information processing device 1 is limited to the case where the power consumption, the gas consumption, and the tap water consumption are directly acquired from the smart power meter H1, the gas smart meter H2, and the tap water smart meter H3 via the base station K, for example. is not used and one or more of electricity usage, gas usage and tap water usage is obtained via the data server of each business operator that supplies electricity, gas and tap water good.

The building H is, for example, a structure such as a dwelling house or collective housing of the consumer. Alternatively, the building H may be a nursing home, a care house, a residence for active seniors, or a facility managed by a facility manager (facility management company). The power smart meter H1 is a power meter that measures power consumption and has a wireless or wired communication function, detects the power consumption in the building H of the consumer, and outputs it. The gas smart meter H2 measures the amount of gas used, is a gas meter equipped with a wireless or wired communication function, detects the amount of gas used in the customer's building H, and outputs it. The tap water smart meter H3 is a tap water meter equipped with a wireless or wired communication function to measure the amount of tap water used, and detects and outputs the amount of tap water used in the building H of the consumer.

Electricity smart meter H1, gas smart meter H2, and tap water smart meter H3 are not limited to being configured as separate devices. The electric power smart meter H1, a gas usage detection device such as a gas meter, and a tap water usage detection device such as a water meter are communicatively connected by wire or wirelessly, and the electric power smart meter H1 detects the gas usage. Acquire the gas usage and tap water usage output from the device and the tap water usage detection device, associate the electricity usage, gas usage, and tap water usage with identifiers such as consumer IDs, and output ( transmission). The electric power smart meter H1, the gas smart meter H2, and the tap water smart meter H3 output the electric power consumption, the gas consumption, and the tap water consumption in association with the usage time period. may be

The consumer side terminal device T1 is configured by a mobile terminal device such as a personal computer, a tablet PC, or a smart phone, for example. The consumer-side terminal device T1 includes a control unit, a storage unit, and a communication unit in the same manner as the information processing apparatus 1, and further includes a display unit T14 such as a display. The consumer side terminal device T1 is configured to be able to communicate with the information processing device 1 via the communication section. In-home behavior information output from the information processing device 1 is displayed on the display section T14 of the consumer terminal device T1.

The terminal device T2 on the facility manager side is configured by a mobile terminal device such as a personal computer, a tablet PC, or a smart phone, for example. The terminal device T2 on the side of the facility manager includes a control section, a storage section, a communication section, and a display section, like the terminal device T1 on the side of the consumer. The facility manager side terminal device T2 is configured to be able to communicate with the information processing device 1 via the communication unit. In-home behavior information output from the information processing device 1 is displayed on the display section of the terminal device T2 on the facility manager side.

The information processing device 1 is a computer capable of various information processing and transmission/reception of information, such as a server device and a personal computer. The server device includes not only a single server device but also a cloud server device or a virtual server device configured by a plurality of computers. The information processing device 1 includes a control section 2 , a communication section 4 and a storage section 3 .

The control unit 2 includes one or more CPU (Central Processing Unit), MPU (Micro-Processing Unit), GPU (Graphics Processing Unit), or other arithmetic processing unit having a timing function. Various information processing, control processing, etc. related to the information processing apparatus 1 are performed by reading and executing the program P (program product).

The storage unit 3 includes a volatile storage area such as SRAM (Static Random Access Memory), DRAM (Dynamic Random Access Memory), and flash memory, and a non-volatile storage area such as EEPROM or hard disk. The storage unit 3 stores in advance a program P (program product) and data to be referred to during processing. The program P (program product) stored in the storage unit 3 may be the program P (program product) read from the recording medium 300 readable by the information processing apparatus 1 . Alternatively, the program P (program product) may be downloaded from an external computer (not shown) connected to a communication network (not shown) and stored in the storage unit 3 . The storage unit 3 stores a database (consumer master table 31, usage table 32) for storing and managing usage data and the like. The storage unit 3 stores entity files that make up a trained model. The entity file may be configured as a part of the program P (program product).

The communication unit 4 is a communication module or communication interface for communicating with each smart meter, the consumer side terminal device T1 or the facility manager side terminal device T2 by wire or wirelessly, for example, Wi-Fi (registered trademark), A short-range wireless communication module such as Bluetooth (registered trademark) or a wide-area wireless communication module such as 4G or 5G. The control unit 2 communicates with each smart meter, the consumer-side terminal device T1, and the facility manager-side terminal device T2 via the communication unit 4 and an external network N such as the Internet.

The information processing device 1 configured as described above includes the power consumption, the gas consumption, and the tap water consumption output (transmitted) from the electric power smart meter H1, the gas smart meter H2, and the tap water smart meter H3, An identifier such as a consumer ID is associated and stored. In other words, the information processing device 1 functions as a database server that stores and manages these usage data, thereby enabling the establishment of an information bank, etc. in the field of energy management centered on the database server, or a part of an information bank, etc. can perform the functions of The information processing device 1 may have a function as a BI (Business Intelligence) server and analyze the acquired usage data by drill-down, slicing, dicing, etc. included in the function. In this embodiment, the information processing device 1 includes an information bank that holds usage data, but is not limited to this. An information bank that holds usage data may be handled by another server device, and the information processing device 1 may acquire usage data with a user's permission from the other server device. .

FIG. 3 is an explanatory diagram illustrating the data layout of the consumer master table 31. As shown in FIG. FIG. 4 is an explanatory diagram exemplifying the data layout of the usage amount table 32. As shown in FIG. The consumer master table 31 and the usage amount table 32 are stored in the storage unit 3 of the information processing device 1 and configured by database management software such as RDBMS (Relational DataBase Management System) installed in the information processing device 1. be.

The types of items (metadata) managed by the consumer master table 31 are, for example, consumer ID, name, address, family structure, building classification, power contract number, gas contract number, water contract number, facilities, etc. including managers (facility managers).

An identification number for identifying a consumer is stored in the consumer ID item (field). The name item (field) stores the name of the consumer. The location of the customer's building H is stored in the address item (field). The family composition item (field) stores the number of family members. Furthermore, the family structure items (fields) may store age structure, male/female ratio, nationality, categories such as need for long-term care, disability support categories, and the like.

The building section item (field) stores the building section of the customer. The building classification includes information indicating the type of building H, such as detached house, collective housing, second-generation housing, reinforced concrete, wooden construction, condominium, and rental. Alternatively, if the building H in which the consumer lives or moves in is a facility such as a residence or facility for active seniors, a nursing home, or a nursing home, information indicating the type of facility is included.

The power contract number item (field) stores the contract number with the power retailer with which the consumer has a contract. The gas contract number item (field) stores the contract number with the gas retailer with which the consumer has a contract. The item (field) of the water supply contract number stores the contract number with the water supply company with which the consumer has a contract. By managing these contract numbers and consumer IDs in association with each other, it is possible to efficiently associate the usage amounts of electricity, gas, and tap water output from each smart meter and save the usage amount data.

Information indicating the administrator (facility manager) of the facility in which the consumer resides is stored in the item (field) of the manager of the facility (facility manager). The information may include, for example, the name, address, and e-mail address of the facility manager, or the URL of the server owned or operated by the facility manager.

The types of items (metadata) managed by the usage amount table 32 include, for example, a consumer ID, usage period, power usage, gas usage, and water usage. As in the consumer master table 31, the consumer ID item (field) stores an identification number for identifying a consumer, and the usage amount table 32 is normalized by the consumer ID.

The usage period item (field) stores time information indicating the time period of the unit time determined for measuring the usage amounts of electric power, gas, and tap water. By setting the unit time in units of, for example, 30 minutes, each time period divided into 48 time periods in one day is defined. As illustrated in this embodiment, the item of period of use may include a sub-item of date and a sub-item of time period.

The power consumption item (field) stores the total value of the power used in each usage period. The gas usage amount item (field) stores the total amount of gas used in each usage period. The item (field) of the amount of tap water used stores the total value of the amount of tap water used in each period of use. In this way, by correlating and storing the usage amounts of electricity, gas, and tap water in the usage period for each unit time, the usage amount for each consumer in a predetermined period can be calculated for each unit time included in the predetermined period. Data can be stored, searched, and extracted in a matrix format (vertical axis: time period, horizontal axis: amount of usage) according to the time period.

FIG. 5 is a functional block diagram illustrating functional units included in the control unit 2 of the information processing device 1. As shown in FIG. The control unit 2 of the information processing device 1 functions as a registration system function unit that registers data in the consumer master table 31 or the usage amount table 32 by executing the program P stored in the storage unit 3 . The registration system function unit includes a usage data acquisition unit 201 and a license data acquisition unit 202 .

The usage data acquisition unit 201 acquires usage data output from the electric power smart meter H1, the gas smart meter H2, and the tap water smart meter H3 provided in the building H of the consumer, and is included in the usage data, Alternatively, the acquired usage amount data is stored in each field of the usage amount table 32 stored in the storage unit 3 based on the associated consumer ID. The building H of the consumer is, for example, a house or facility for active seniors in which the consumer resides, a facility such as a nursing home or care house, an apartment complex such as a condominium, or a detached house. A power smart meter H1, a gas smart meter H2, and a tap water smart meter H3 are provided so as to obtain respective consumption data of consumers.

The license data acquisition unit 202 acquires the license data transmitted from, for example, the consumer side terminal device T1 or the facility manager side terminal device T2, and obtains the consumer ID included in or associated with the license data. Based on this, the information (usage permission data) regarding the use permission for each consumer ID stored in the consumer master table 31 is saved and managed.

The control unit 2 of the information processing device 1 executes the program P stored in the storage unit 3 to output advice information and the like to the terminal device T1 on the consumer side or the terminal device T2 on the facility manager side. functions as a department. The output system function unit includes a target consumer identification unit 203, a usage data extraction unit 204, and an advice generation unit 206, and further functions as a learning model 205 (in-home behavior model) that derives in-home behavior based on usage data.

The target consumer identification unit 203, for example, based on the content of the request transmitted from the terminal device T2 on the facility manager side, the information for identifying the target consumer of the home behavior information to be output (target consumer information), Generate and output. The information for specifying the consumer who is the target of the in-home behavior information includes, for example, a consumer ID for pinpointing the consumer, a facility for active seniors, a nursing home for the elderly, a care house, etc. Includes a building segment that indicates the facility. Furthermore, when specifying the consumer, the period to be targeted may be attached to the target consumer information and specified.

The usage amount data extraction unit 204 searches the customer master table 31 and the usage amount table 32 based on the target customer information output from the target customer identification unit 203, and extracts usage data corresponding to the target customer information. to extract The usage data extraction unit 204 outputs the extracted usage data to the learning model 205 .

The learning model 205 functions as an in-home behavior model that outputs information (in-home behavior information) on the in-home behavior of the target consumer based on the usage data extracted by the usage data extraction unit 204 . Information on home behavior (home behavior information) output by the learning model 205 (home behavior model) or answer data for learning includes, for example, information on staying at home/going out, information on sleep, information on toilet, information on bathing, etc. information, and information about self-catering.

The home/out-of-home information includes, for example, the time period during which the customer is at home or the time period during which the customer is out of the house. The information about sleep includes, for example, the consumer's bedtime, wake-up time, or sleep time slot in each day. The information about the toilet includes, for example, the number of times the consumer uses the toilet each day, the time required to use the toilet, or the period of time the user uses the toilet. The information on bathing includes, for example, the number of times the consumer bathes, the required bathing time, or the bathing time period. The information on self-cooking includes, for example, the number of times the consumer cooks for himself, the required time for self-cooking, or the time slot for self-cooking.

FIG. 6 is an explanatory diagram of the process of generating the learning model 205 (in-home behavior model). The information processing apparatus 1 learns a neural network based on teacher data that uses the acquired usage data, that is, power usage, gas usage, and tap water usage, as problem data and home behavior information as answer data. , generates a learning model 205 (in-home behavior model) that receives usage data and outputs in-home behavior information. Such training data can be created by combining electricity, gas, and tap water consumption data of a large number of consumers with the in-home activity information of the consumers. A data set of question data and answer data included in training data for learning the learning model 205 and a data set of input data and output data when using the learning model 205 are synonymous. If it is defined in one set, it will naturally apply to the other dataset as well.

A neural network (learning model 205) learned using teacher data is assumed to be used as a program module that is part of artificial intelligence software. The learning model 205 is used in the information processing apparatus 1 having the control unit 2 (CPU, etc.) and the storage unit 3 as described above, and is executed by the information processing apparatus 1 having the arithmetic processing capability. A neural network system is thus constructed. That is, the control unit 2 of the information processing device 1 performs an operation for extracting the feature amount of the usage data input to the input layer in accordance with the instruction from the learning model 205 stored in the storage unit 3, and extracts the in-home behavior from the output layer. It works to output information.

The usage data input to the input layer is, for example, the time on the vertical axis, that is, a plurality of times or points in time indicating the time period during which electricity, gas, and tap water were used, and the horizontal axis on the electricity usage and gas usage. It may be data in a matrix format of the amount and the amount of tap water used. In this way, by making the usage data into matrix format data for a predetermined period of time, for example, one day's power usage, gas usage, and tap water usage, a neural network, such as CNN (Convolution Neural Network) can be used. For example, a neural network using a CNN has an input layer that receives input of usage data in a matrix format, an output layer that outputs in-home activity information, and an intermediate layer that extracts feature amounts of the usage data.

The input layer has a plurality of neurons that receive inputs of respective usage values included in the usage data, and passes the input values to the intermediate layer. The intermediate layer includes, for example, a convolution layer and a pooling layer, has a plurality of neurons for extracting feature amounts of respective usage amounts, and passes the extracted feature amounts to the output layer. The output layer is composed of, for example, a fully connected layer, and outputs in-home activity information based on the feature amount output from the intermediate layer.

In this embodiment, the learning model 205 is described as being a CNN, but the learning model 205 is not limited to a CNN, and may be a neural network other than the CNN, DNN (Deep Neural Network), RNN (Recurrent Neural Network), LSTM. (Long-short term model), SVM (Support Vector Machine), Bayesian network, regression tree, or other learning model 205 constructed by other learning algorithms. Learning model 205 may be learned by unsupervised learning or reinforcement learning.

In the present embodiment, the learning model 205 outputs the home behavior information of the consumer based on the usage data, but the learning model 205 is not limited to this. A determination result as to whether or not it is applicable may be output. The determination result may include a determination result conforming to frailty evaluation criteria for consumers. Evaluation criteria for frailty include, for example, weight loss, subjective fatigue, decreased amount of daily living activity, decreased physical ability such as walking speed, and decreased muscle strength such as grip strength. A learning model 205 that functions as a model may output determination values for each of these criteria. At this time, the frailty determination model (learning model 205) uses usage data (electricity usage, gas usage, and tap water usage) as problem data in the same manner as the indoor behavior model described above. It learns based on teacher data whose response data is the judgment value in the item. Alternatively, the learning model 205 may output the behavior type of the consumer based on the usage data. The behavior type is a type classified by each combination of in-home behavior in the time series of the consumer. There are, for example, a night type, a non-self-cooking type, a bathless type, etc., and a composite type in which a plurality of these types are combined may be used. In this way, the learning model 205 functioning as a behavior type classification model uses consumption data (electricity consumption, gas consumption, and tap water consumption) as problem data in the same manner as the home behavior model described above. Learning is based on teacher data with type as answer data.

The advice generating unit 206 generates advice information regarding frailty countermeasures for the consumer based on the information (in-home behavior information) regarding the consumer's in-home behavior output by the learning model 205 (in-home behavior model). The advice generation unit 206 may acquire daily in-home behavior information for a predetermined period such as one week or one month from the learning model 205 (in-home behavior model). The advice generation unit 206 derives the rate of change or the trend of change in the home activity information for a plurality of days based on the acquired home activity information on a daily basis, and generates advice information based on the rate of change or the like. good too. At this time, the advice generation unit 206 may generate advice information recommending a visit to a clinic when the number of times the toilet is used this week has increased by a predetermined value or more compared to last week. Alternatively, the advice generation unit 206 may generate advice information based on behavior information having continuity in home behavior information for a plurality of days. At this time, the advice generation unit 206 may generate advice information recommending going out if the person has not left the house for three or more consecutive days. Further, the advice generation unit 206 may generate advice information recommending that the user cook for himself/herself if he or she does not cook for three or more consecutive days. Further, the advice generation unit 206 may generate advice information recommending taking a bath when there is no bathing for three or more consecutive days. These pieces of advice information are used not only as countermeasures against frailty but also as health measures that contribute to health promotion of consumers.

In this way, the advice generation unit 206 may generate advice information for each item of the in-home behavior information output by the learning model 205 (in-home behavior model). As described above, the in-home behavior information includes, for example, information (items) related to staying at home/going out, sleep, restroom, bathing, and self-cooking, and advice information is generated corresponding to each item. good.

The advice generation unit 206 may generate advice information for each item by referring to, for example, an advice table 33 (see FIG. 10) showing the correspondence between home behavior information and advice information. The advice generation unit 206 generates screen data including generated advice information and the like, and outputs the screen data to the consumer side terminal device T1 or the facility manager side terminal device T2. The advice table 33 and screen data will be described later. When the learning model 205 functions as a frailty determination model, the advice generation unit 206 generates advice information on countermeasures against frailty based on the determination result output by the frailty determination model according to the frailty evaluation criteria. good. When the learning model 205 functions as a behavior type classification model, the advice generation unit 206 may generate advice information regarding frailty countermeasures based on the consumer's behavior type output by the behavior type classification model.

FIG. 7 is a flowchart showing an example of a processing procedure by the control unit 2 of the information processing device 1. As shown in FIG. The control unit 2 of the information processing device 1 performs the processing of the flowchart based on the content of the request transmitted from the terminal device T1 on the consumer side or the terminal device T2 on the facility manager side communicably connected to the information processing device 1, for example. to start.

The control unit 2 of the information processing device 1 acquires target consumer information (S101). The control unit 2 of the information processing apparatus 1 receives a target such as a name identifying the consumer or a building classification such as a facility where the consumer resides from the terminal device T1 on the side of the consumer or the terminal device T2 on the side of the facility manager. Get consumer information.

The control unit 2 of the information processing device 1 acquires the usage amount data of the target consumer (S102). Based on the target consumer information, the control unit 2 of the information processing device 1 searches the consumer master table 31 and the usage amount table 32 stored in the storage unit 3, and acquires the usage amount data of the target customer information. do. If the target consumer information includes information about the period of use, the control unit 2 of the information processing device 1 may acquire usage data for the period of use. The consumer master table 31 and the usage amount table 32 are not limited to being stored in the storage unit 3 of the information processing apparatus 1, which is the own apparatus. 1, and the information processing apparatus 1 may access the storage server and refer to the consumer master table 31 and the usage amount table 32 .

The control unit 2 of the information processing device 1 derives information about the behavior at home of the target consumer (S103). The control unit 2 of the information processing apparatus 1 inputs the acquired usage data of the target consumer to, for example, the learning model 205 (in-home behavior model) to generate information (in-home behavior information) about the target consumer's behavior in the home. ) is derived (obtained). The control unit 2 of the information processing device 1 derives (acquires) a plurality of pieces of daily home behavior information by inputting, for example, a plurality of daily usage data into the learning model 205 (home behavior model). ).

The control unit 2 of the information processing device 1 outputs advice information on countermeasures against frailty based on the behavior at home (S104). The control unit 2 of the information processing device 1 determines whether a predetermined domestic behavior such as staying at home (not going out) has continued for a predetermined period or longer, using the toilet, Advise information on countermeasures against frailty is output according to a determination result such as whether the rate of change in the number of home actions such as self-cooking or bathing is equal to or greater than a threshold value. At this time, the control unit 2 of the information processing device 1 may refer to the advice table 33 (see FIG. 10) stored in the storage unit 3 and output the advice information. Alternatively, the control unit 2 of the information processing device 1 outputs advice information on countermeasures against frailty in accordance with the result of the determination according to the frailty evaluation criteria performed based on the derived home behavior information of the target consumer on a daily basis. can be anything. The output destination of the advice information is not limited to the consumer side terminal device T1 or the facility manager side terminal device T2, and the output destination may be a terminal device used by a person designated by the consumer. The person designated by the consumer is, for example, a person who watches over or manages the health condition of the consumer, such as a relative such as the consumer's family, an acquaintance, or a friend, and the It may indicate a person registered in the master table 31 or the like.

According to the present embodiment, the storage unit 3 of the information processing device 1 stores usage data (electricity usage, gas usage, etc.) of the customer in the building H such as a house (home) or facility where the customer resides. and tap water consumption) are accumulated, and the control unit 2 of the information processing device 1 derives information on domestic behavior of the consumption data. The information related to the in-home behavior includes, for example, the number of bathing, cooking, and toilet usage of the consumer in the building H such as the home, and the time zone, on a daily basis (daily basis). Furthermore, the information about the behavior at home may include the time zone (at-home time zone) during which the user is in the building H such as his or her home, for example, on a daily basis. Furthermore, the information about behavior at home may include the sleeping hours of the consumer. The control unit 2 of the information processing device 1 provides advice on countermeasures against frailty according to the determination result of whether or not the consumer falls under frailty (an intermediate state between being healthy and requiring long-term care) based on the information about these in-home behaviors. Output information. By using consumption data that associates the amount of electricity, gas, and tap water used according to the daily living activities (daily life activities) in the customer's home with the usage time period, It is possible to derive information about in-home behavior without forcing an excessive burden. By using the information on home behavior derived in this way, the control unit 2 of the information processing device 1 efficiently outputs advice information on countermeasures against frailty of the consumer, and , can provide useful information.

According to the present embodiment, the control unit 2 of the information processing device 1 is learned to output an in-home behavior when the power consumption, gas consumption, and tap water consumption associated with the usage time zone are input. By inputting the acquired usage data into the learning model 205 (in-home behavior model), information about the in-home behavior of the consumer who is the target of the usage data is derived. In this way, the control unit 2 of the information processing device 1 uses the learning model 205 (in-home behavior model) to adjust the power usage, gas usage, and tap water usage for each consumer included in the usage data. Based on this, it is possible to efficiently acquire information on the in-home behavior of the consumer.

According to the present embodiment, the storage unit 3 of the information processing apparatus 1 accumulates daily life data and information about in-home behavior derived based on the life data for each consumer. For example, if the frequency of deriving information on home behavior is set to a daily unit, based on the daily life data, that is, the total amount of electricity usage, gas usage, and tap water usage on a daily basis and the usage time period, Information about the in-home activity is derived. As a result, the storage unit 3 of the information processing device 1 stores (accumulates) the information related to the behavior at home based on the result of tallying the daily life data as a daily history. For example, the control unit 2 of the information processing device 1 derives change information including the change rate or change tendency of information related to home behavior in a predetermined period such as one week or one month, and based on the change information, the consumer output advice information about frailty countermeasures. In this way, by using changes (change information) in the home behavior of consumers, it is possible to efficiently output appropriate advice information based on relative evaluations of individual consumers based on chronological factors.

(Embodiment 2)
FIG. 8 is an explanatory diagram showing an overview of the information processing system S according to the second embodiment (health equipment information). The information processing device 1, which is the main device that constitutes the information processing system S, is further directly or indirectly communicably connected to a health appliance KK used by the consumer, and the consumer measured by the health appliance KK. physical information (vital information) as health equipment information.

The health equipment KK is a device for measuring the physical information (vital information) of the consumer, and includes, for example, a weight scale, a body fat percentage meter, a BMI measuring instrument, a basal metabolic rate measuring instrument, a muscle mass measuring instrument, and a bone mass estimating instrument. , body moisture meter, sphygmomanometer, pedometer, and heart rate monitor. The health equipment KK is worn by a consumer who is a target for frailty prevention, and data (vital information) measured by the health equipment KK is transmitted to the information processing device 1 via, for example, the consumer-side terminal device T1. can be anything. Alternatively, the health equipment KK itself may have a communication function and transmit continuous data (vital information) directly to the information processing device 1 . Alternatively, these health devices KK may be functional units included in the consumer terminal device T1, such as a sphygmomanometer application and a pedometer application installed in the consumer terminal device T1.

The information processing device 1 acquires the consumer's vital information (health device information) measured by the health device KK, associates the acquired vital information with the measurement date and time of the vital information and the consumer ID, and stores the information in the storage unit 3. memorize to As a result, the vital information (health equipment information) and usage data for each consumer can be linked and stored and managed.

FIG. 9 is a functional block diagram illustrating functional units included in the control unit 2 of the information processing device 1. As shown in FIG. As in the first embodiment, the control unit 2 of the information processing apparatus 1 functions as a target consumer identifying unit 203, a usage amount data extracting unit 204, a learning model 205 (in-home behavior model), an advice generating unit 206, and further functions as a health information generating unit. It functions as the device information acquisition unit 207 .

The health equipment information acquisition unit 207 acquires the target consumer's vital information (health equipment information) measured by the health equipment KK, associates the acquired vital information with the measurement date and time of the vital information and the consumer ID, Stored in the storage unit 3.

The advice generation unit 206 acquires in-home behavior information output from the learning model 205 (in-home behavior model) in the same manner as in the first embodiment. ). The advice generation unit 206 generates advice information regarding frailty countermeasures based on the acquired in-home behavior information and vital information (health equipment information). The advice table 33 may be referred to.

FIG. 10 is an explanatory diagram exemplifying the data layout of the advice table 33. As shown in FIG. In the storage unit 3 of the information processing device 1, information indicating the correspondence between the home behavior information and the advice information is stored, for example, in the form of a table (advice table 33). Items (fields) managed in the advice table 33 include action type, action content, health equipment information, advice information, and the like.

The action type item includes, for example, items indicating the type of home action, such as staying at home/going out, sleeping, restroom, bathing, or self-cooking. In the action content item, the value or information output by the learning model 205 (home action model) based on the usage data (electricity usage, gas usage, and tap water usage) for each corresponding action type is Stored. The action content includes, for example, the consumer's home hours, bedtime, wake-up time, toilet frequency, bathing frequency, self-cooking frequency, and the like. In this way, the action content item stores the result of analyzing or classifying the usage data by using the learning model 205 (in-home action model).

The health equipment information item stores the physical information (vital information) of the consumer measured by the health equipment KK. The vital information is, for example, a weight scale, a body fat percentage meter, a BMI measuring device, a basal metabolic rate measuring device, a muscle mass measuring device, a bone mass estimating device, a body water percentage measuring device, a sphygmomanometer, a pedometer, and a heart rate monitor. etc., and is determined according to the corresponding action type.

The advice information item stores advice information corresponding to a combination of action content and content of health equipment information (vital values such as heart rate and blood pressure) for each action type. The advice information in this embodiment is an example, and the advice information includes a plurality of pieces of advice information corresponding to the number of combinations of the contents of the in-home behavior information and the health equipment information (vital information).

The advice generation unit 206 refers to the advice table 33, and based on the combination of the in-home behavior information output by the learning model 205 (in-home behavior model) and the health equipment information (vital information) measured by the health equipment KK, Generate advisory information. The advice generation unit 206 may generate screen data for displaying an advice screen including advice information, and output the screen data to the consumer side terminal device T1 or the facility manager side terminal device T2. .

When the learning model 205 functions as a frailty determination model, the advice generation unit 206 generates the determination result according to the frailty evaluation criteria output by the frailty determination model and the health equipment information (vital information) measured by the health equipment KK. Based on a combination of and based on, it may be one that generates advice information on frailty countermeasures. When the learning model 205 functions as a behavior type classification model, the advice generation unit 206 generates a relationship between the consumer behavior type output by the behavior type classification model and the health equipment information (vital information) measured by the health equipment KK. Based on the combination, advice information regarding measures against frailty may be generated.

FIG. 11 is a flow chart showing an example of a processing procedure by the control unit 2 of the information processing device 1. As shown in FIG. As in the first embodiment, the control unit 2 of the information processing device 1 receives request contents transmitted from the terminal device T1 on the consumer side or the terminal device T2 on the facility manager side communicably connected to the information processing device 1, for example. , the processing of the flowchart is started.

The control unit 2 of the information processing device 1 acquires target consumer information (S201). The control unit 2 of the information processing device 1 acquires the usage amount data of the target consumer (S202). The control unit 2 of the information processing device 1 derives information about the behavior at home of the target consumer (S203). The control unit 2 of the information processing apparatus 1 performs the processes from S201 to S203 in the same manner as the processes from S101 to S103 of the first embodiment.

The control unit 2 of the information processing device 1 acquires the health equipment information of the target consumer (S204). The control unit 2 of the information processing device 1 acquires the vital information (health equipment information) of the target consumer measured by the health equipment KK, and associates the acquired vital information with the measurement date and time of the vital information and the consumer ID. is stored in the storage unit 3. The vital information (health equipment information) is, for example, the target consumer's weight scale, body fat percentage meter, BMI measuring instrument, basal metabolic rate measuring instrument, muscle mass measuring instrument, bone mass estimating instrument, body water percentage measuring instrument, Including a blood pressure monitor, a pedometer, a heart rate monitor, and the like.

The control unit 2 of the information processing device 1 outputs advice information on countermeasures against frailty based on the indoor behavior and health equipment information (S205). The control unit 2 of the information processing device 1 outputs advice information on countermeasures against frailty by referring to, for example, an advice table 33 stored in the storage unit 3 based on the in-home behavior and health equipment information. The control unit 2 of the information processing device 1 refers to the advice table 33 to specify advice information according to the combination of the action content indicated by the in-home action information and the content (value) of the health equipment information. may generate advice information for countermeasures against frailty. The control unit 2 of the information processing device 1 generates an advice screen (screen data) including advice information, and sends the screen data to the consumer side terminal device T1, the facility manager side terminal device T2, or a person designated by the consumer. By outputting the advice screen to the terminal device used by the consumer (family member, etc.), the advice screen is displayed on the terminal device T1 on the consumer side, the terminal device T2 on the facility manager side, or the terminal device used by the person (family member, etc.) designated by the consumer. . The output destination of the advice information may be any of these terminal devices.

FIG. 12 is a diagram illustrating an example of an advice screen including advice information and the like. The control unit 2 of the information processing device 1 generates screen data for displaying an advice screen including advice information, and outputs the screen data to the consumer side terminal device T1 or the facility manager side terminal device T2. The terminal device T1 on the consumer side or the terminal device T2 on the facility manager side that has acquired the screen data displays an advice screen on a display unit connected to or provided in the own device. As a result, advice on countermeasures against frailty to consumers and consumption data (electricity consumption, gas consumption, and tap water consumption) that is the basis for the advice can be provided to consumers themselves who are subject to frailty prevention, or It is possible to efficiently notify facility managers of housing or facilities for active seniors in which consumers reside.

The advice screen includes a consumer information display area, a usage data display area, an in-home activity information display area, a health equipment information display area, an advice display area, and the like.

In the consumer information display area, information of items such as consumer ID, name, address, and building classification is displayed as bibliographic items related to the consumer. The displayed consumer ID, name, etc. correspond to the consumer ID, name, etc. of the consumer who logged into the information processing apparatus 1 from the consumer terminal device T1. Alternatively, when a facility manager of a facility for active seniors logs in to the information processing device 1 using the terminal device T2 on the side of the facility manager, the ID of the consumer who resides in the facility for active seniors is displayed. can be anything.

The consumption data display area displays the consumption data of electricity, gas, and tap water in the building H where the consumer resides. As an illustration of the present embodiment, subtotal values of daily usage data (electricity usage, gas usage, and tap water usage) for a predetermined period of one week based on the current time, and the average for one week value is displayed. Furthermore, as the rate of change, for example, the rate of change compared to the previous week is displayed.

In the in-home behavior information display area, in-home behavior information output by the learning model 205 (in-home behavior model) based on the daily usage data is displayed. The in-home activity information is displayed in a list format with values (contents) for each type, such as staying at home/going out, sleeping, restroom, bathing, and self-cooking. Information obtained by averaging these values (contents) is displayed in the average value for one week. Alternatively, by aggregating daily values (contents) in one week, for example, when a predetermined action continues for a plurality of days, the number of consecutive days of the action may be displayed. Furthermore, as the rate of change, for example, the rate of change compared to the previous week is displayed.

In the health equipment information display area, daily physical information (vital information) of the consumer is displayed in list form. Information obtained by averaging these values (contents) is displayed in the average value for one week. Furthermore, as the rate of change, for example, the rate of change compared to the previous week is displayed.

In the advice display area, as described above, the advice information regarding the countermeasure against frailty generated by the advice generation unit 206 (control unit 2) is displayed.

According to the present embodiment, the control unit 2 of the information processing device 1 outputs advice information on countermeasures against frailty for the consumer based on health equipment information acquired from the health equipment KK used by the consumer and information on home behavior. Therefore, the accuracy or eligibility of the advice information can be improved.

The embodiments disclosed this time are illustrative in all respects and should be considered not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the meaning described above, and is intended to include all modifications within the scope and meaning equivalent to the scope of the claims.

S Information processing system H Building H1 Electric power smart meter H2 Gas smart meter H3 Tap water smart meter N External network K Base station KK Health equipment T1 Consumer side terminal device T2 Facility manager side terminal device 1 Information processing device 2 Control unit 201 Use Amount data acquisition unit 202 License data acquisition unit 203 Target consumer identification unit 204 Usage amount data extraction unit 205 Learning model (home behavior model)
206 advice generation unit 207 health equipment information acquisition unit 3 storage unit 31 consumer master table 32 usage amount table 33 advice table P program (program product)
300 recording medium 4 communication unit

Claims (12)

Acquiring usage data that associates the amount of electricity, gas, and tap water used by the consumer with information on the usage time period and consumer identification information that identifies the consumer,
deriving information about the in-home behavior of the consumer based on the acquired usage data;
An information processing method for outputting advice information regarding health measures of the consumer based on the derived information regarding the in-home behavior. The information processing method according to claim 1, wherein the advice information on health measures includes advice information on measures against frailty. 3. The information processing method according to claim 1, wherein the advice information on the consumer's health measures is output to the consumer or a person designated by the consumer. 4. The information processing method according to any one of claims 1 to 3, wherein the in-home behavior includes behavior related to bathing, cooking, and toilet use in the home of the consumer. 5. The method according to any one of claims 1 to 4, wherein information on the in-home behavior is derived from the obtained usage data by using a learning model trained to output the in-home behavior when usage data is input. The information processing method described in . deriving a plurality of pieces of information about the in-home behavior of the consumer based on the plurality of usage data acquired within a predetermined period;
deriving change information about changes in the in-home behavior based on the derived information about the plurality of in-home behaviors;
6. The information processing method according to any one of claims 1 to 5, wherein advice information regarding health measures for the consumer is output based on the derived change information. obtaining health equipment information from the health equipment used by the consumer;
7. The information processing method according to any one of claims 1 to 6, further comprising: outputting advice information regarding health measures of the consumer based on the acquired health equipment information and the information regarding in-home behavior. generating screen data including information about the home behavior of the consumer and the health equipment information;
The information processing method according to claim 7, wherein the generated screen data is output. The in-home behavior of the consumer is behavior in a residence for the elderly in which the consumer resides,
9. The information processing method according to any one of claims 1 to 8, wherein advice information regarding health measures of said consumer is output to an administrator of said residence for the elderly. to the computer,
Acquiring usage data that associates the amount of electricity, gas, and tap water used by the consumer with information on the usage time period and consumer identification information that identifies the consumer,
deriving information about the in-home behavior of the consumer based on the acquired usage data;
A program for executing a process of outputting advice information on health measures of the consumer based on the derived information on home behavior. an acquisition unit that acquires usage amount data in which usage amount data, gas usage amount, and tap water usage amount by a customer are associated with usage time zone information and customer identification information that identifies the customer;
a derivation unit that derives information about the home behavior of the consumer based on the acquired usage data;
An information processing apparatus comprising: an output unit configured to output advice information regarding health measures for the consumer based on the derived information regarding in-home behavior. a power smart meter that outputs power usage by a consumer;
a gas smart meter that outputs the amount of gas used by the consumer;
a tap water smart meter that outputs the amount of tap water used by the consumer;
an information processing device communicably connected to the electric power smart meter, the gas smart meter, and the tap water smart meter, wherein
The information processing device is
obtaining the power usage from the power smart meter;
obtaining the gas usage from the gas smart meter;
Acquiring the amount of tap water used from the tap water smart meter,
Usage data in which the acquired power usage, gas usage, and tap water usage are associated with usage time zone information and consumer identification information for identifying the consumer can be accessed from the device itself. stored in a memory area,
deriving information about the home behavior of the consumer based on the usage data stored in the storage area;
An information processing system that outputs advice information on health measures of the consumer based on the derived information on the in-home behavior.

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