JP2016081091A - Behavior management device, behavior management method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make it possible to notify a user of an excessive state of a specific behavior.SOLUTION: A behavior management device 1 includes: a data acquisition part 15, a first determination part 111, a second determination part 112, and an output part 13. The data acquisition part 15 acquires the data relating to the behavior of a user. The first determination part 111 determines whether or not a predetermined specific behavior is performed based on the data acquired by the data acquisition part 15, and defines the determination result as behavior information relating to the specific behavior. The second determination part 112 determines whether or not the specific behavior is excessively performed with respect to a predetermined criterion using the behavior information acquired relating to the determination period including the past period by the first determination part 111. Further, the second determination part 112 defines the state determined to be excessive as an excessive state to the specific behavior. The output part 13 outputs recommendation information recommended correspondingly to the excessive state to the user.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a behavior management device, a behavior management method, and a program for managing user behavior.

  In recent years, a technique using history information in which user behavior information is recorded has been proposed (for example, see Patent Document 1). The technique described in Patent Document 1 performs processing according to an evaluation theme for the purpose of sharing a lot of relative information among a plurality of users, and obtains a relative relationship between evaluation index values. ing. Patent Document 1 describes that action history information is acquired from a schedule or the content of a blog.

JP 2009-187298 A

  In Patent Document 1, a plurality of persons share relative information regarding history information recording behavior information, but it cannot be said that the user can effectively use the history information.

  It is an object of the present invention to provide an action management device, an action management method, and a program that make it possible to use information related to a user's action by changing it to information effective for the user.

  The behavior management device of the present invention determines whether a data acquisition unit that acquires data related to a user's behavior and a predetermined specific action based on the data acquired by the data acquisition unit have been performed. , By using the first determination unit that sets the determination result as the behavior information related to the specific behavior, and the behavior information obtained by the first determination unit regarding the determination period including the past period, A second determination unit that determines whether or not the specific action is excessively performed and sets the state determined to be excessive as an excessive state of the specific action; and when the specific action is the excessive state, the user And an output unit for outputting recommended information recommended as a response to the excessive state.

  In the behavior management method of the present invention, the first determination unit determines whether or not a predetermined specific action has been performed based on data related to the user's behavior, and the determination result is the behavior information regarding the specific behavior, By using the behavior information obtained for a predetermined determination period including a past period, the second determination unit determines whether or not the specific behavior is excessively performed with respect to a predetermined determination criterion. When the specific action is an excess state of the specific action, and the specific action is the excess state, the output unit outputs recommended information recommended as a response to the excess state to the user. And

  The program of the present invention is for causing a computer to function as an action management device.

  According to the configuration of the present invention, it is possible to make the user aware that the specific action is in an excessive state. If the recommended information is appropriate content that interests the user, the user is easily guided to perform an action to avoid or reduce the excessive state according to the recommended information. That is, it is possible to effectively use information related to a user's specific behavior extracted from data by outputting recommended information.

FIG. 10 is a block diagram common to the first embodiment, the second embodiment, the fifth embodiment, and the sixth embodiment. It is a figure which shows the structural example of the system common to Embodiment 1-7. It is a figure explaining the determination period in Embodiment 1-7. FIG. 6 is a block diagram illustrating a third embodiment. FIG. 10 is a block diagram illustrating a fourth embodiment. FIG. 10 is a block diagram illustrating a seventh embodiment.

(Overview)
The behavior management device described below, when there is a possibility that the user is excessively performing the specific action, makes the user aware that the specific action is excessively performed, and further performs the specific action excessively. It is configured to output recommended information for eliminating or avoiding the existing state.

  The “specific action” is an action that can estimate whether or not the user has performed based on data acquired by a data acquisition unit described later. The specific action may correspond to one piece of data acquired by the data acquisition unit on a one-to-one basis, or one specific action may correspond to a plurality of data acquired by the data acquisition unit. . In the latter case, features related to the user's behavior are extracted from a plurality of data, and it is determined whether or not the user has performed one specific behavior by using the extracted features alone or in combination.

  For example, jogging, walking, gymnastics, and exercise in a gym can be one independent action. There are various types of gymnastics, such as flexible gymnastics, manual gymnastics, and gymnastics using a horizontal bar. Regardless of the type of gymnastics, a series of actions within a time period that can be regarded as being performed continuously is performed once. It is treated as an action. Similarly, even if exercise in the gym is performed by combining various exercises, a series of actions in the gym is treated as a single action. On the other hand, if you go jogging, go to the park, do gymnastics in the park, and then go home after jogging, you should treat jogging and gymnastics as one action each and divide it into three actions. Is possible. The exercise is basically detected using information such as an acceleration sensor worn by the user on the body.

  Whether or not the specific action is excessively performed is determined using a predetermined determination criterion. A state in which it is determined that the specific action is excessively performed according to the determination criterion is referred to as an “excess state”. Specific behavior includes behavior that can cause physical or mental stress if it is in excess. The specific action includes an action that may generate an opportunity cost if it is in an excessive state. The opportunity cost in this case means, for example, the profit lost by playing an electronic game (hereinafter referred to as “game”) for the opportunity of studying. However, since it cannot be determined uniformly whether the study or the game is beneficial to the user, in the explanation of the embodiment, the excessive state of the specific action of the game is regarded as the opportunity cost. Further, it is desirable that the specific action includes an action recommended when the excessive state is eliminated or avoided.

  Specific examples of the former behavior include childcare, housework (cleaning, washing, cooking, etc.), work (especially overtime, etc.), and nursing care. On the other hand, the latter specific actions are music appreciation, movie appreciation, family dining out, travel and the like. When a plurality of types of specific actions are included, such as childcare, housework, and care, these specific actions are classified in advance into groups corresponding to types such as childcare, housework, and care. The specific action for each group is regarded as a single specific action, and it is determined whether or not the group is in an excessive state.

  The determination result of whether or not a specific action has been performed is called “behavior information”. That is, the behavior information includes information that distinguishes the type of the specific behavior, information that indicates that the specific behavior has been performed, and information that indicates the date and time when the specific behavior has been performed. More preferably, the behavior information includes information indicating a period during which the specific behavior is performed.

  By the way, if specific behavior becomes excessive and physical or mental stress increases, it may cause fatigue, drowsiness, decreased immunity, digestive disorders, cardiovascular disorders, etc. May lead to neurosis and depression. In addition, as in the above-described game, there is a specific action that trades off with a specific action of studying and generates an opportunity cost when it is in an excessive state. In the following, a specific action that increases stress in an excessive state will be mainly described as an example.

  The “recommended information” is information recommended to the user as a response to the excessive state when the specific action is in an excessive state, and is preferably information including a suggestion that contributes to stress relaxation. For example, the recommended information for physical stress is information suggesting rest, a behavior different from the excessive specific behavior, a request from an assistant who performs the specific behavior, and the like. In addition, the recommended information for mental stress includes the same content as the recommended information for physical stress, as well as rewards and advice through dialogue.

(Conditions of the embodiment)
The user of the behavior management apparatus is generally a user who regularly uses the same building. In the embodiment described below, a family living in a house is assumed. The family consists of four persons, a father, a mother, a son, and a daughter, and the behavior management apparatus recognizes each of the four persons as an independent user and grasps the relationship between the users. In other words, in the behavior management device, information for individually identifying the user and information indicating the relationship between the users are registered, and the behavior of each user is determined using the information for identifying the user individually. Know individually. Here, the house may be either a detached house or a dwelling unit in an apartment house.

  The data for determining whether or not the user has performed a specific action is at least one of data reflecting the operation of the device used in the house and schedule data representing the user's action schedule. However, it is desirable that the data for determining whether or not a specific action has been performed includes data reflecting the operation of the device. Equipment covers electrical equipment. The data used to extract the user's specific action is at least one type of data of power consumed by the electrical device, on / off data of the electrical device, and data on the operating status of the electrical device.

  Data on the power consumed by the electrical equipment is measured in units of branch circuits. That is, since the electrical equipment is supplied with power from any one of a plurality of branch circuits in which a distribution board installed in a house branches off from one main trunk circuit, the power consumed by the electrical equipment Is measured for each branch circuit. Specifically, the current value passing through each branch circuit is measured, and the power value consumed by the electric device fed through the branch circuit is obtained based on the measured current value. A technique may be employed in which the type of electric device that has consumed power is estimated using the change of the power value measured for each branch circuit over time, and the power consumed for the estimated electric device is obtained. .

  The behavior management device according to the embodiment described below can communicate with at least some of the electric devices used in a house. The behavior management apparatus can acquire ON / OFF data of the electric device and data reflecting the operation status of the electric device by communication with the electric device. Further, when the electric device measures power consumption, the behavior management apparatus may be able to acquire the power value consumed by the electric device through communication with the electric device. Note that on / off of electrical equipment can also be estimated from changes in the power value consumed by the electrical equipment, so it can be determined using changes over time in the power value measured for each branch circuit. It is.

  The operating status of the electrical equipment is the operating status of the electrical equipment resulting from the user's operation. Such an operating state includes a channel selection state if the electrical device is a television receiver (hereinafter abbreviated as “TV”), a dimming or toning state if the electrical device is a lighting device, If is an air conditioner, it corresponds to a set temperature state or the like. In addition, if the electric device is a washing machine or a dishwasher, the amount of washing, the mode, or the operation state called a course corresponds to the operation state of the electric device. The mode of the washing machine means operations such as washing, rinsing, dewatering, and drying, and the course is determined by a combination of the order of these operations and the time for each operation.

  The data on the operating status of the electrical equipment not only reflects the type of user's behavior, but may also reflect the user's preference. For example, in the case of a television, this type of information can be obtained from the selected channel, the time zone in which the channel is selected, and the program guide, so that information such as the genre, contents, and performers of the program viewed by the user can be obtained. Information can be statistically processed to estimate user preferences.

  Since the behavior management device uses power data measured for each branch circuit and has a function of communicating with an electrical device, in the embodiment, at least a part of the configuration of the behavior management device is a HEMS (Home Realized by an Energy Management System controller. That is, the behavior management apparatus is realized as a part of the function of the HEMS controller, or is realized by a combination of the HEMS controller and another apparatus.

  Schedule data representing a user's action schedule is set by the user using an input device. The behavior management apparatus according to the embodiment has a function of storing data of a schedule determined by a user and a function of managing the due date of the schedule.

(Configuration to measure power)
As described above, the power consumed by the electrical equipment is basically measured for each branch circuit. In the embodiment, the behavior management apparatus includes a HEMS controller. Therefore, as shown in FIG. 2, a measuring device 23 for measuring power is attached to the distribution board 2 installed in the house 10.

  The distribution board 2 includes a cabinet 21 installed in the house 10. In general, the cabinet 21 accommodates one main breaker and a plurality of branch breakers. The distribution board 2 distributes the power supplied to the house 10 through the power system to a plurality of branch circuits. The distribution board 2 includes power generated by a power generation facility such as a solar power generation facility or a wind power generation facility, power supplied from a storage battery provided in the power storage facility or a storage battery mounted on an electric vehicle, power from a fuel cell system, etc. May be configured to handle.

  The measuring device 23 includes a configuration housed in the cabinet 21 and a configuration disposed adjacent to the outside of the cabinet 21. Here, a configuration in which the measuring device 23 is housed in the cabinet 21 is adopted. The measuring device 23 is configured to measure the electric power that has passed for each branch circuit.

  That is, the measuring device 23 includes a plurality of branch breakers and a plurality of current sensors corresponding one-to-one, and measures a passing current for each branch circuit by the current sensor. In the embodiment, the current sensor employs a Rogowski coil that is a coreless type coil. However, the current sensor may be selected from a current transformer having a ring core, a Hall element, a magnetoresistive element such as a GMR (Giant Magnetic Resistances) element, a shunt resistance, and the like.

  The measuring device 23 measures the voltage between the lines of the branch circuit on the secondary side of the main breaker. The measured voltage value is given to the measuring device 23 together with the current value measured for each branch circuit by the current sensor, and the power value passing through each of the plurality of branch circuits is obtained. The power value is obtained as an integrated value for each predetermined unit time. The unit time is selected, for example, from the range of about 1 second to 10 minutes, and preferably from the range of about 30 seconds to 2 minutes.

  The measuring device 23 is electrically connected to the communication unit 22. The power value for each unit time obtained by the measurement device 23 is transferred from the measurement device 23 to the behavior management device 1 via the communication unit 22 as data of power consumed by the electrical device 3. The communication between the communication unit 22 and the behavior management device 1 is the same as the communication between the electrical device 3 and the behavior management device 1, which will be described later. For example, communication is performed so as to satisfy the ECHONET Lite (trademark) standard. A protocol has been established. The lower layer transmission medium such as the physical layer in the communication protocol is not particularly limited, and it is appropriately selected which of wireless communication and wired communication is used. For the wireless communication in the following description, for example, a specific low power radio using a 920 MHz band radio wave as a transmission medium is used. However, the radio communication frequency and communication method are appropriately selected.

  The timing at which the power value data is delivered from the measurement device 23 to the behavior management device 1 is determined by either the measurement device 23 or the behavior management device 1. That is, a configuration in which power value data is delivered to the behavior management device 1 by performing push-type communication from the measurement device 23 to the behavior management device 1, and a power value from the measurement device 23 in response to a request from the behavior management device 1. One of the configurations for transferring data to the behavior management apparatus 1 is employed. The timing at which the behavior management device 1 acquires the data of the power value consumed for each branch circuit may be regular or irregular.

(Configuration for acquiring information on electrical equipment)
As described above, in the embodiment, at least a part of the configuration of the behavior management apparatus 1 is realized by a HEMS controller. The controller has a function of communicating with a specific electrical device 3 used in the house 10, and can be connected to a communication network 42 outside the home such as the Internet via a router 41. In the example illustrated in FIG. 2, an information terminal 43 that communicates with the behavior management apparatus 1 through the communication network 42 is provided. The information terminal shown in the figure can be used similarly to the operation display device 31 described later.

  In FIG. 2, as the electrical equipment 3 that communicates with the behavior management device 1, an operation display device 31, an air conditioner 32, a television 33, a washing machine 34, an IH cooking heater 35 (IH: Induction Heating), and a charger / discharger 36 connected to an electric vehicle. Is illustrated. The operation display device 31 includes an operation device 311 as an input device and a display device 312 as a presentation device. The electrical device 3 that communicates with the behavior management device 1 is not limited to the example of FIG. 2, and may be a power generation facility such as a solar power generation facility, a lighting device, a water heater, a dishwasher, a floor heating device, or the like. In short, the electrical device 3 may be a HEMS compatible device used in the house 10.

  Since the behavior management device 1 can communicate with a specific electrical device 3 as a HEMS controller, the behavior management device 1 can control the operation of the electrical device 3 and can also control the operation of the electrical device 3. It is possible to monitor. The contents of control for the electric device 3 can be instructed by using the operation device 311, and the contents of monitoring the electric device 3 can be displayed on the display 312.

  As described above, the behavior management device 1 can monitor the operation of the electrical device 3 by communication with the electrical device 3, so that the electrical device 3 is turned on and off, and the operation status of the electrical device 3 is monitored. Data can be obtained.

  For communication between the behavior management device 1 and the electrical device 3, wireless communication using radio waves as a transmission medium or wired communication such as power line carrier communication is adopted. Further, communication may be performed through the router 41 between the behavior management device 1 and the electric device 3. That is, a LAN (Local Area Network) including the behavior management device 1 and the electric device 3 in a network may be constructed. Note that the behavior management device 1 and the electrical device 3 need only satisfy, for example, the ECHONET Lite (trademark) standard, and there are no particular restrictions on lower layers such as the physical layer in the communication protocol.

(Configuration to present the output of the behavior management device)
The behavior management device 1 outputs recommended information in order to make the user aware of the excessive state of the specific behavior and to eliminate or avoid the excessive state of the specific behavior. Providing users with recommended information with appropriate content that helps reduce or avoid excessive conditions not only makes the user aware that the specific action is excessive, but also improves stress by giving the user relaxation and healing. Leads to.

  In order to show the recommended information output from the behavior management device 1 to the user, a presentation device is used. The presentation device employs a configuration that performs at least one of visual presentation and audio presentation. That is, the presentation device is configured to display the recommended information on the screen or to output a sound or a warning sound.

  Therefore, the presentation device can be realized by the operation display device 31 described above. The operation display device 31 can be replaced by a terminal device selected from a smartphone, a tablet terminal, a personal computer, and the like as well as a dedicated device for the behavior management device 1. Since the behavior management apparatus 1 is connected to the router 41, a terminal device that communicates with the behavior management apparatus 1 through a communication network 42 such as a LAN, the Internet, or a mobile communication network can be used as a presentation device. . The terminal device in this case is selected from a smartphone, a tablet terminal, a personal computer, or the like.

  The terminal device that communicates with the behavior management device 1 has a function of accepting an operation input, similar to the operation display device 31, regardless of whether or not it goes through the router 41. That is, the operation display device 31 and the terminal device are not only used as a presentation device for presenting recommended information, but also used for receiving operation input, and function as a user interface.

(Behavior management device)
As described above, the behavior management device 1 communicates with the electrical device 3 and is connected to the router 41. Therefore, as illustrated in FIG. 1, the behavior management apparatus 1 includes a first communication unit 181 for communicating with the communication unit 22 and a second communication unit 182 for communicating with the electrical device 3. The behavior management apparatus 1 illustrated in FIG. 1 includes a third communication unit 183 for connecting the router 41 separately from the first communication unit 181.

  The first communication unit 181, the second communication unit 182, and the third communication unit 183 are logically distributed, but the hardware configuring the first communication unit 181, the second communication unit 182, and the third communication unit 183 Resources do not have to be independent. For example, the hardware resources of the first communication unit 181 and the second communication unit 182 can be shared, and the hardware resources of the second communication unit 182 and the third communication unit 183 can be shared. Therefore, the first communication unit 181, the second communication unit 182, and the third communication unit 183 can be configured with one hardware resource. In other words, the lower layers including the physical layer in the communication protocol may be configured to be different in the first communication unit 181, the second communication unit 182, and the third communication unit 183, but at least a part of them may be configured. May be shared. In the following description, when the first communication unit 181, the second communication unit 182, and the third communication unit 183 are not distinguished, they are described as the communication unit 18.

  In the configuration example illustrated in FIG. 1, the operation display device 31 is handled in the same manner as the electrical device 3 and communicates with the behavior management device 1 through the second communication unit 182. However, a dedicated communication unit corresponding to the operation display device 31 can be provided in the behavior management device 1. In addition, the operation display device 31 can communicate with the behavior management device 1 through the third communication unit 183.

  The behavior management apparatus 1 includes a data acquisition unit 15, a first determination unit 111, a second determination unit 112, and an output unit 13 as basic components. In addition, the behavior management apparatus 1 illustrated in FIG. 1 includes a storage unit 14, an evaluation unit 12, and a setting unit 17 in addition to the communication unit 18. This will be described in another embodiment. In the following description, when the first determination unit 111 and the second determination unit 112 are not distinguished, they are referred to as the determination unit 11.

  The behavior management apparatus 1 includes an information generation unit 101 and a built-in clock 102. The information generation unit 101 generates estimation information output from the output unit 13. The built-in clock 102 has a function of measuring the date and time, and for example, a real time clock is used. The first determination unit 111 and the second determination unit 112 are assumed to be implemented using a processor that executes a program, and are implemented using a single hardware resource.

  That is, the behavior management apparatus 1 can be realized by causing a computer having a CPU (Central Processing Unit) and a memory to execute a program. This program causes the computer to function as at least the data acquisition unit 15, the first determination unit 111, the second determination unit 112, and the output unit 13. The program is written in a ROM (Read Only Memory) or provided by a computer-readable recording medium. The program may be provided through a communication network such as the Internet.

  The data acquisition unit 15 acquires data on the power consumed by the electrical device 3 through the first communication unit 181, and the on / off data of the electrical device 3 and the operation status data of the electrical device 3 through the second communication unit 182. To get. The data acquisition unit 15 acquires schedule data representing a user's action schedule input by the user operating the operation device 311 of the operation display device 31. The schedule data is stored in the plan storage unit 141 provided in the storage unit 14. The data acquisition unit 15 acquires schedule data from the plan storage unit 141 when the date and time counted by the built-in clock 102 satisfies a predetermined management condition. The management conditions will be described later.

  The storage unit 14 preferably includes a rewritable nonvolatile semiconductor memory such as an EEPROM (Electrically Erasable Programmable Read Only Memory) and a semiconductor memory such as a RAM (Random Access Memory).

  By the way, the schedule data includes the type (name) of the action scheduled by the user and the date and time and period during which the action is scheduled to be performed. When the user registers schedule data in the plan storage unit 141, the type of action is selected from actions prepared in advance as specific actions.

  Specifically, when the user registers the schedule data, for example, on the screen of the display 312 in the operation display device 31, a plurality of types of action names correspond to options such as “exercise” and “travel”. Button or icon is displayed. When the option is displayed on the display 312 and the user selects a desired option, the date and time can be input.

  The name of the action can be arbitrarily set by the user, but when the name of the action is set by the user, the name is not input at the time of registering the schedule data, but by default. It is desirable to work in advance to add to the prepared name. This is because if the user inputs an arbitrary name at the time of schedule registration, the user may not input the schedule due to an increase in the work amount, and the behavior management device 1 estimates the type of specific behavior from the name. This is because the processing load increases. Therefore, when the user sets an arbitrary name, it is desirable for the user to perform a task of adding a name at an appropriate timing, and to simultaneously perform a task of associating the name of the action with the type of the specific action.

  As the schedule data, the date and time and the period of one time are input for the specific action to be performed once. Further, schedule data for specific behaviors that are habitually performed can be input collectively by designating the date and time of multiple days as a day of the week (for example, Saturday) or a date (for example, the 10th of every month). . Furthermore, it is also possible to input only the date and time when the specific action is started without deciding the period in preparation for the case where the end date and time of the action schedule is undecided.

  On the other hand, the output unit 13 outputs the recommended information to the display 312 of the operation display device 31 through the communication unit 18, and the operation display device 31 presents the content of the recommended information to the display 312. If the operation display device 31 is a terminal device and has a function of outputting sound, it is possible to present the recommended information audibly by sound. Therefore, if visual presentation and auditory presentation are performed, the possibility of calling attention to the user increases. In addition, it is possible to cause the visually impaired person to recognize the recommended information by visual presentation, and to visually impaired person to recognize the recommended information by auditory presentation.

  By the way, the data acquired by the data acquisition unit 15 is delivered to the determination unit 11. Based on the data received from the data acquisition unit 15, the determination unit 11 determines whether a specific action has been performed in the first determination unit 111. In addition, when the specific action is performed, the determination unit 11 determines whether the specific action is excessively performed in the second determination unit 112 in accordance with a predetermined determination criterion.

  The first determination unit 111 analyzes the data received from the data acquisition unit 15 to determine the type of specific action, and extracts the type of specific action included in the data received from the data acquisition unit 15 Do one of the following. When the specific action is extracted from the data acquired by the data acquisition unit 15 regarding the electrical device 3, the type of the electrical device 3 corresponding to the data, the time zone when the data occurred, and the electrical device 3 corresponding to the data are arranged. At least one of the locations is used. Thereby, the 1st judgment part 111 judges a user's specification and the kind of specific action.

  That is, since the power data consumed by the electrical device 3 does not directly represent the type of the specific action, the first determination unit 111 changes the characteristic change corresponding to the specific action to the data with time. Extract from the transition and estimate the type of specific action. As described above, in order to estimate the type of specific action, at least one of the type, location, and time zone of the electrical device 3 corresponding to the data is used.

  Here, when it is determined whether or not the specific action of housework has been performed from the data of the power consumed by the electrical equipment 3, individual specific actions such as cooking, cleaning, washing, dishwashing, and ironing are assigned to the group of housework. To summarize. The individual specific action is determined by the first determination unit 111 based on the type of the electric device 3, the place where the electric device 3 is used, the time zone when the electric device 3 is used, and the like.

  On the other hand, when data directly representing the type of specific action is obtained, such as schedule data, the first determination unit 111 extracts the specific action included in the received data. Here, the schedule data includes data related to past actions that the user has already performed, and includes data of actions that the user plans in the future.

  For example, in the branch circuit corresponding to the son's room, when the television and the game machine are on, the first determination unit 111 determines that the son is performing a specific action called a game. In this case, by extracting the time zone in addition to the type of the specific action, the second determination unit 112 can determine whether or not the specific action is in an excessive state.

  Further, when the data of the night time zone is used for the electrical equipment 3 connected to the branch circuit of the room that the father or mother changes after returning home and the branch circuit including the entrance wiring system, the return time of the father or mother is obtained. Can be estimated. That is, the first determination unit 111 can extract a specific action of returning home. The second determination unit 112 can determine an excessive state in which a father or mother's return time is continued based on several days' return time.

  Incidentally, the specific action extracted by the first determination unit 111 based on the data acquired by the data acquisition unit 15 is registered in advance in the setting storage unit 142 of the storage unit 14. That is, the first determination unit 111 determines whether or not the specific action registered in the setting storage unit 142 has been performed based on the data acquired by the data acquisition unit 15.

  The type of specific action registered in the setting storage unit 142 is determined by the user using the operation display device 31. The behavior management device 1 is provided with a setting unit 17 that receives a user's operation input to the operation display device 31 and writes the type of specific behavior in the setting storage unit 142. The setting unit 17 is provided to cause the operation display device 31 to function as a user interface when setting the type of specific action in the setting storage unit 142. That is, the setting unit 17 is configured to determine the content to be displayed on the display 312 of the operation display device 31 and to accept an operation input to the operation device 311 of the operation display device 31.

  In this configuration, the setting unit 17 displays buttons 312 of the operation display device 31 corresponding to specific action types for specific actions such as childcare, housework, work, game, TV viewing, and exercise, for example. Display them side by side. When the user selects a desired button, the setting unit 17 registers the type of specific action corresponding to the selected button in the setting storage unit 142. The setting unit 17 allows a plurality of types of specific actions to be selected.

  By the way, when a plurality of types of specific actions are registered in the setting storage unit 142, the burden on the user increases. Therefore, it is desirable that the behavior management device 1 stores a combination of a plurality of types of specific behavior as a default so that the user can easily determine the type of specific behavior registered in the setting storage unit 142. In this case, since the setting unit 17 displays a default combination related to the type of specific action on the operation display device 31, the user selects a default combination close to a desired combination and finely adjusts the content of the combination. Good. Alternatively, the setting unit 17 may automatically extract from a default combination based on information such as a family configuration input by the user and user characteristics (preference).

  Note that the types of specific actions registered in the setting storage unit 142 can be added, deleted, and changed through the setting unit 17. In addition, the setting unit 17 can associate a type of specific action with each individual constituting a family.

  In order for the first determination unit 111 to extract a characteristic change corresponding to a specific action from the data transition with time, a plurality of data obtained in a corresponding period is necessary. Therefore, the data acquired by the data acquisition unit 15 is temporarily stored in the data storage unit 140 provided in the storage unit 14. The number of data required to extract characteristic changes corresponding to the specific action differs depending on the type of data and the type of specific action. The first determination unit 111 reads out necessary data from the data storage unit 140 according to the specific action to be extracted and the type of data used to extract the specific action, and determines whether or not the specific action has been performed. to decide.

  Instead of adopting a configuration in which whether or not a specific action has been performed as described above is sequentially determined as time elapses, the first determination unit 111 stores data accumulated in the data storage unit 140 over a predetermined period. May be collectively analyzed. That is, the first determination unit 111 can collectively extract specific actions in a predetermined period. In this case, the first determination unit 111 can collectively determine whether or not a specific action has been performed in a predetermined period. This period is, for example, a determination period which will be described later, or an appropriate period of about a fraction of the determination period. For example, the first determination unit 111 can collectively determine whether or not a specific action has been performed in a period of one day.

  The first determination unit 111 determines whether or not the user has performed a specific action based on the data received from the data acquisition unit 15, and sets the determination result as action information regarding the specific action. That is, the behavior information is generated when the first determination unit 111 determines that the user has performed the specific behavior, and includes the type of the specific behavior and the date and time when the specific behavior was performed. Moreover, it is desirable that the behavior information includes a period during which the specific behavior is performed. In other words, the behavior information includes information regarding the type of the specific action performed by the user, the date and time when the specific action was started, and the date and time when the specific action was ended. In the present embodiment, the behavior information is stored in the behavior storage unit 143 provided in the storage unit 14.

  The second determination unit 112 uses the action information obtained for the determination period including the past period, and determines whether or not the specific action is excessively performed with respect to the predetermined determination criterion. That is, the second determination unit 112 determines whether the specific action is in an excessive state. Moreover, the 2nd determination part 112 judges whether the applicable specific action is performed excessively for every period defined according to the kind of specific action. The specific action that is assumed to be performed every day is selected from a period of about 1 to 10 days, and the specific action that is assumed to be performed in units of one month The determination period for determining whether the state is excessive is selected from a period of about 1 to 3 months. These periods are approximate and may be changed as appropriate.

  In the determination period, when the time when the second determination unit 112 determines whether or not the specific action is in an excessive state is set as the management time, only the past predetermined period including the management time and the past predetermined time including the management time In some cases, in addition to the period, a predetermined period in the future is included from the management point of time. The specific action in a predetermined period in the future is extracted from the schedule data. On the other hand, data related to the electrical device 3 is mainly used for the specific action in the past predetermined period, but schedule data may be used in addition to data related to the electrical device 3.

  The management point of time is set, for example, at an interval of one day for specific actions that are supposed to be performed every day, and at an interval of one month, for example, for specific actions that are assumed to be performed in units of one month. Is set. For example, the management time is set, for example, in a time zone before waking up for a specific action performed every day like childcare. In addition, for a specific action performed at intervals of about one week to one month such as eating out, the management time is set at, for example, 12:00 pm at the end of each month. The example of the management time point described above is a guideline. If the time interval for setting the management time point is set shorter, there is a possibility that the excess state can be judged without delay, and if it is set longer, the accuracy of detecting the excessive state can be improved. May be increased.

  As described above, the second determination unit 112 determines the management time point and the determination period according to the type of specific action. The management time and the judgment period are included in the management conditions. That is, when the date and time counted by the built-in clock 102 reaches the management time point set as the management condition, the second determination unit 112 uses the action information in the determination period set as the management condition to determine whether the specific action is in an excessive state. Judge whether or not.

  The setting unit 17 described above can also set the determination period. The determination period can also be set by the user for each specific action, but a default value is set, and it is desirable for the user to make fine adjustments as necessary. In addition, regarding the determination period, the behavior management apparatus 1 learns the determination period and allows the user to feed back to the behavior management apparatus 1 whether the determination period is long or short based on the timing at which the recommended information is indicated. The length may be adjusted to a preferred length. The user may use the operation display device 31 to feed back the length of the determination period to the behavior management device 1.

  The criterion for determining whether or not the specific action is in an excessive state may vary depending on the user as well as the type of the specific action, but a standard criterion is set as a default. This determination criterion is modified so that the user prefers while the user uses the behavior management device 1. Not only the criteria but also various conditions used for judgment in the behavior management device 1 are automatically corrected so as to meet the user's preference by receiving feedback from the user while the behavior management device 1 is used. . An example of specific processing performed by the determination unit 11 will be described later.

  For specific actions that are determined to be in an excessive state by the determination unit 11, recommended information recommended as a response to the excessive state is output from the output unit 13. The recommended information is generated by the information generation unit 101 so as to correspond to the specific action determined to be in an excessive state. The information generation unit 101 can associate the specific action with the recommended information on a one-to-one basis. However, since the recommended information is uniform, there are few merits for the user.

  Therefore, the recommended information is not only the type of the specific action determined to be in an excessive state, but also the content of the corresponding specific action, the data used to determine the excessive state, the determination criteria used to determine the excessive state, the user's preference, It is desirable to generate according to various conditions such as the area. That is, it is desirable to set a production rule that uses these pieces of information as conditions, and to generate recommended information having contents according to the conditions.

  By the way, it is desirable that the behavior information includes not only the information indicating whether or not the specific behavior has been performed but also the importance of the specific behavior. The importance of the specific action can be rephrased as the necessity or priority of performing the specific action. For example, it can be said that the specific action such as childcare is high because it cannot be missed, but the specific action such as cleaning can be postponed for several days, so that the importance is low. The content of the recommended information also depends on the importance of the specific action.

  When the degree of importance of the specific action is low, in order to eliminate or reduce the excessive state, performing other actions different from the specific action, taking a rest, etc. is selected as recommended information. In addition, if the importance of specific actions is high, it is recommended that you ask an assistant, increase the level of motivation for specific actions, or perform mental care in order to eliminate or reduce excess conditions. Selected as. In addition, if a specific action that is in an excessive state is less important, and there is a specific action with a higher importance than this specific action, the recommended information may prompt the user to take the specific action with the higher importance. is there.

  Another action different from the specific action is an action that the user refreshes by changing the environment, and is selected from, for example, hobby manufacturing, eating out, exercising, watching a movie, and traveling. The helper is another person acting on behalf of the specific action performed by the user, and is selected from, for example, a babysitter, a cleaning company, a housekeeper, and a care service.

  The recommended information that increases the level of motivation for the specific action is, for example, information that defines a target for the specific action and a reward for the user when the target is achieved. The reward varies depending on the characteristics of the user. For example, the user may eat a favorite food, purchase a high-priced product, or have the family give up. That is, the reward means a mental reward for the user.

  Psychological care is basically a conversation, and recommended information includes, for example, presenting words of encouragement to the user, interacting with family or friends, and recommending a counseling visit. Selected. In addition, when the user has a device such as a dialog robot equipped with a dialog engine, conversation with the device may be recommended as mental care. The dialogue engine may be installed in the behavior management apparatus 1.

  It is desirable to change the content of the recommended information not only by the type and importance of the specific action, but also by the excessive level that is an excessive degree with respect to the specific action determined to be in an excessive state. When changing the content of the recommended information depending on the excess level, the behavior management apparatus 1 is added with an excess level evaluation unit 121 for evaluating the excess level.

  The excessive level is evaluated according to, for example, the time during which the excessive state continues, the frequency of occurrence of the excessive state, and the like. The excess level evaluation unit 121 evaluates the excess level higher as the period in which the excess state continues is longer, and evaluates the excess level higher as the occurrence frequency of the excess state is higher. Therefore, it can be said that the higher the excess level, the greater the user's stress. Therefore, the content of the recommended information is set according to the excessive level, and when the excessive level is high, the recommended information having a content that increases the effect of relieving or reducing stress is determined. Further, if the excess level is high, the above-described contents may be employed as recommended information alone, and a plurality of contents may be employed in combination.

  It is desirable that the output unit 13 not only outputs the recommended information but also outputs a necessary level representing the degree of necessity for the user. The necessary level is associated with a specific action that is in an excessive state, and is determined as at least one of a loss incurred by the user due to the excessive state and a profit due to elimination of the excessive state. When the output unit 13 outputs a necessary level, the action management device 1 is added with a necessity evaluating unit 122 for evaluating the necessary level.

  The necessity evaluating unit 122 evaluates the necessary level for the specific action that the second determining unit 112 has determined to be in an excessive state. The storage unit 14 includes a level storage unit 144 that stores standard information in association with a specific action, and the necessity evaluation unit 122 sets standard information corresponding to the specific action that the second determination unit 112 has determined to be in an excessive state. Read from the storage unit 144 and evaluate the required level using the standard information. The necessity evaluation unit 122 may evaluate the necessary level in consideration of not only the type of specific action but also at least one of the above-described importance level and excess level.

(Operation)
As described above, in the present embodiment, the first determination unit 111 determines whether or not the specific action has been performed based on the data acquired by the data acquisition unit 15, and the first determination unit determines that the specific action has been performed. When 111 determines, the second determination unit 112 determines whether the state is excessive. For the specific information that the second determination unit 112 determines to be in an excessive state, the information generation unit 101 generates recommended information, and the output unit 13 outputs the recommended information. The recommended information output by the output unit 13 is presented on the operation display device 31 in the above-described example. Hereinafter, operations of the first determination unit 111, the second determination unit 112, and the output unit 13 will be described in more detail.

  The first determination unit 111 determines whether a specific action registered in the setting storage unit 142 has been performed. Although the 1st judgment part 111 may extract the action which can be extracted based on the data which the data acquisition part 15 acquires irrespective of the kind of action, a processing load becomes large. Therefore, here, the first determination unit 111 employs a configuration that extracts only the specific action registered in the setting storage unit 142. Moreover, below, the example which employ | adopted the technique which extracts a specific action in order instead of the technique which extracts specific action collectively from the data in a determination period is demonstrated.

  Since the data acquisition unit 15 acquires data obtained according to the operation of the electrical device 3 and schedule data, the first determination unit 111 extracts features inherent in the two types of data. To determine whether a specific action has been performed. The data obtained in accordance with the operation of the electrical device 3 is past data that has been traced back from the management time point, and the schedule data includes past data that has been traced back from the management time point and future data after the management time point. When the data of the schedule is past data, it may be possible to verify whether or not the past schedule has been implemented by collating with the past data regarding the operation of the electric device 3.

  The feature extracted by the first determination unit 111 is one or more types of data of power consumed by the electrical device 3, on / off data of the electrical device 3, operation status data of the electrical device 3, and schedule data. Extracted using data. In addition, the first determination unit 111 determines whether or not a specific action has been performed on the data related to the electric device 3 in consideration of the type of the electric device 3, the place where the electric device 3 is used, and the time zone when the data is obtained. Judging. Rules for extracting features are determined by the first determination unit 111 according to the type of specific action.

  For example, the actions of being at home, going out, and sleeping can be estimated by monitoring the transition of the power value consumed by the electrical device 3. For example, when going out and sleeping, the power value consumed by the electrical device 3 is normally only standby power. Therefore, by integrating the time zone, day of the week, daily power value, etc. It is estimated whether you are sleeping. Similarly, whether or not the kitchen is used is determined using the transition of the power value in the branch circuit of the kitchen. If the kitchen is not used in a time period corresponding to breakfast, lunch, or dinner, it is estimated that the meal is due to eating out or delivery. Here, when combined with the determination result of whether or not to go out, it is possible to determine whether it is a meal by eating out or by delivery.

  Although it is unclear whether or not the corresponding action is actually performed in the schedule data that is a future action schedule for the management time point, the first determination unit 111 determines that the specific action included in the future schedule is a schedule. Estimated to have been done at the date and time. The schedule includes eating out and going to specific destinations (movie theaters, gyms, concert halls, nail salons, esthetic salons, trips, etc.).

  The first determination unit 111 can also determine whether a specific action has been performed by combining a plurality of types of data. For example, in the past dating back to the management point, it was possible to estimate that the specific action of travel was included in the schedule data and that the outing continued during the corresponding period from the transition of the power value consumed by the electrical equipment 3 In this case, there is a high possibility that the specific action of travel is performed. Therefore, the 1st judgment part 111 can estimate the specific action of a trip with high certainty by combining data according to such a rule.

  When the first determination unit 111 determines that the specific action is performed, the type of the specific action, the date and time when the specific action was performed, and the period during which the specific action was performed are stored in the action storage unit 143 as action information. The second determination unit 112 uses the behavior information stored in the behavior storage unit 143 to determine whether there is a specific behavior that is in an excessive state.

  The second determination unit 112 determines whether or not the corresponding specific action is in an excessive state by comparing the action information stored in the action storage unit 143 with a predetermined determination criterion. There are a plurality of determination criteria, and the second determination unit 112 selects a determination criterion to be adopted according to the type of specific action. The criterion is set for the action information in the determination period. Judgment criteria are whether or not the specific action was performed, the frequency of the specific action, the elapsed time since the last specific action, the length of time the specific action was performed, and the period of the specific action At least one kind of distribution is set as a scale.

  When the determination criterion is based on whether or not the specific action is performed in the determination period, the corresponding determination period is set to a time zone in which the specific action is not assumed to be performed. That is, it is determined that the specific action itself is performed in the set time period is an excessive state of the specific action. In addition, when the determination criterion is based on the frequency of performing the specific action in the determination period, it is determined that the frequency exceeds the threshold. The frequency may be the number of times that the specific action is performed in the determination period, but may be a value normalized by dividing the number of times by the determination period.

  In addition, when the determination criterion is based on the elapsed time since the last specific action was performed in the determination period, an excess state is determined if the elapsed time is shorter than the threshold. In the case where the determination criterion is based on the length of time during which the specific action is performed in the determination period, it is determined that the state is excessive when the time length becomes equal to or greater than a threshold value. In the case where the appraisal criterion is based on the distribution of the period in which the specific action is performed in the determination period, the excess state is determined when the variance is equal to or less than the threshold value.

  The scale used as the determination criterion is not limited to one type, and a plurality of types may be used in combination. To combine multiple types of scales, when any of the multiple scales indicates an excessive state of a specific action, and when all of the multiple scales indicate an excessive state of a specific action Either of the configurations determined to be in an excessive state is adopted.

  The determination period may be a fixed length regardless of the type of specific action, but it is desirable that the length be determined according to the type of specific action. For example, it is desirable to set the determination period short for specific actions that are frequently performed, and it is desirable to set the determination period long for specific actions that are performed with low frequency. The determination period is usually selected from one day, one week, one month, three months, one year, and the like. However, it is desirable that the determination of the excess state by the second determination unit 112 is performed every relatively short period selected from one day, one week, one month, and the like. More preferably, it is set shorter than the minimum period of the determination period regardless of the type of the specific action.

  As an example, for a specific action called a game, a case is shown in which the determination criterion is set with the length of time in the determination period as a scale, and the determination criterion is 8 hours per week. In this example, the second determination unit 112 determines whether or not the specific action is in an excessive state every day. For example, the second determination unit 112 determines whether or not the specific action is in an excessive state by setting 3:00 am as the management time every day and setting the past one week from the management time as a determination period.

  When the specific action of a game is extracted, the first determination unit 111 sets the specific action as a game, and registers the date and time of the game and the period in the action storage unit 143 as action information. The second determination unit 112 uses the behavior information stored in the behavior storage unit 143 to obtain an integrated value of the time during which the game has been played in the past week, and if the integrated value exceeds 8 hours, It is determined that the specific action is excessive.

  When the second determining unit 112 determines that the specific action is in an excessive state, the information generating unit 101 generates recommended information, and the recommended information generated by the information generating unit 101 is output from the output unit 13. The recommended information output from the output unit 13 is presented on the operation display device 31 as a presentation device.

  The timing at which the output unit 13 outputs the recommended information is determined according to the type of specific action determined by the second determining unit 112 as an excessive state, the content of the recommended information, and the like. For example, when the specific action is to play a game as described above, there is usually no urgency, so the timing for outputting the recommended information is not the time when the second determination unit 112 determines that it is in an excessive state, It may be the timing when the game is played. On the other hand, when the schedule includes an action schedule of the test and the schedule is approaching, there is an urgency to make the excess state noticeable, so the timing of outputting the recommended information is the excess state determined by the second determination unit 112 It is desirable to be immediately after judging.

  As another example, for a specific action called exercise, the criterion is set as a measure of the elapsed time since the last specific action was performed in the determination period, and the excessive state is also referred to the user's age Assume that it is judged. When exercise is performed moderately, it helps maintain health, but when the user is older and exercise is performed excessively, it may hinder health. Therefore, the second determination unit 112 uses the action information stored in the action storage unit 143 to specify the exercise when the elapsed time since the last exercise is short and it is determined that the rest is insufficient. Judge that the behavior is excessive.

  In this example, the recommended information should include a message such as "Excessive exercise will hinder your health. Take enough rest." The output unit 13 treats this type of recommended information as recommended information having a relatively high degree of urgency, and outputs the recommended information immediately after the second determination unit 112 determines that it is in an excessive state.

  The information generation unit 101 can estimate a free time that does not require a specific action based on data acquired through the data acquisition unit 15 and can determine a date and time for performing an action to be included in the recommended information. In this case, the output unit 13 may output the recommended information including the date and time determined based on the free time. The free time is specified by the time when the specific action determined by the first determination unit 111 is being performed, the schedule data, etc., and the time when the user is not doing anything or the importance is low. It is extracted from the time zone when the action is performed.

  By the way, in this embodiment, at least one of a configuration in which importance is set for a specific action, a configuration in which the excess level evaluation unit 121 evaluates the excess level, and a configuration in which the necessity evaluation unit 122 evaluates the necessary level is used. It is possible to select. Information such as importance, excess level, and required level is used to determine the content of recommended information as described above. Since the relationship between the importance level and the excess level and the recommended information has already been described, the relationship between the necessary level and the recommended information will be described here.

  As described above, the necessary level represents at least one of a benefit provided to the user when the content of the recommended information is practiced by the user and a loss incurred by the user when the content of the recommended information is not practiced by the user. . The required level is expressed in a plurality of stages (for example, 10 stages), and is set to be a high stage when the profit is large or the loss is large.

  Even when the second determination unit 112 determines that the specific action is in an excessive state, the output unit 13 determines that the recommended information is appropriate if the required level obtained by the necessity evaluation unit 122 is less than a predetermined threshold. Judged as having little value for the user and not adopted as recommended information. That is, the necessity evaluation unit 122 evaluates the necessity for the user with respect to the recommendation information, and the output unit 13 does not output the recommendation information if the necessity level evaluated by the necessity evaluation unit 122 is equal to or less than the threshold value. Composed.

  For example, when the second determination unit 112 determines that the specific action of cooking is an excessive state, it is assumed that the information generation unit 101 generates eating out as recommended information. In this case, if the recommended information is implemented, the user can obtain a benefit that the burden of housework such as cooking and washing is reduced. Therefore, the necessity evaluation unit 122 sets the required level of recommended information to a relatively high level. In addition, by using the above-described excess level in combination, the higher the degree of excess, the higher the required level step. If the required level is set high, the output unit 13 is likely to be used as recommended information.

  Moreover, when the 2nd determination part 112 judges that it is an excessive state about the specific action of exercise | movement, suppose that the information production | generation part 101 produced | generated as recommended information to receive a massage. In such a case, if the recommendation information is not implemented, the user may suffer a loss of muscle pain or health impairment. Therefore, the necessary level of the necessary level is set to a relatively high stage. Also in this case, by using the excess level in combination, the higher the degree of excess, the higher the required level step. Therefore, the possibility that the output unit 13 adopts the recommended information also increases when the user suffers a loss by not performing the recommended information, as in the case where the user is profitable by performing the recommended information.

  A specific operation example is shown in FIG. There are three specific behaviors: housework, childcare, and exercise. That is, three types of housework, childcare, and exercise are registered in the setting storage unit 142 of the behavior management apparatus 1 as specific behaviors to be extracted by the first determination unit 111. In FIG. 3, the horizontal axis is a time axis, and in FIG. 3, the shaded area indicates a period during which the first determination unit 111 determines that the user has performed a specific action.

  The determination period is set for each type of specific action in the second determination unit 112. In the illustrated example, the determination period T1 for the specific action of housework is set to two weeks, the determination period T2 for the specific action of childcare is set to one month, and the determination period T3 to the specific action of exercise is set to one week. The starting points of the determination periods T1, T2, and T3 are the management time points, and the past periods that have been traced back from the management time point are determined as the determination time periods T1, T2, and T3.

  The management time is set, for example, every day, for example, at 3:00 am when the user is estimated to be sleeping. The behavior management apparatus 1 can always determine whether or not the specific behavior is in an excessive state, but it is desirable to determine the excessive state of the specific behavior during a period when the utilization rate of hardware resources is low. For this reason, it is desirable that the process of determining whether or not the first determination unit 111 has performed a specific action is performed collectively for each management point in time for a predetermined period such as every day. When determining that the specific action has been performed, the first determination unit 111 stores the action information in the action storage unit 143.

  The second determination unit 112 determines whether or not the specific action is in an excessive state by applying a determination criterion to the action information stored in the action storage unit 143. Here, an example is shown in which the determination criteria are determined for the total time of specific actions in the determination periods T1, T2, and T3. That is, the second determination unit 112 compares the time lengths of the specific actions with the threshold values in the determination periods T1, T2, and T3 set for the specific actions, and there is a specific action whose time length exceeds the threshold value. In this case, it is determined that the specific action is in an excessive state. In the example of FIG. 3, the total time length related to the specific behavior of housework is relatively long. Therefore, in this example, it is assumed that the second determination unit 112 determines that the housework is in an excessive state. Further, the second determination unit 112 determines that the specific actions of childcare and exercise are not in an excessive state.

  Since housework is in an excessive state, the behavior management apparatus 1 generates recommended information that recommends actions such as eating out and traveling in the information generation unit 101, and the necessity evaluation unit 122 evaluates the necessary level. When the recommended information generated by the information generating unit 101 includes recommended information whose required level is equal to or greater than the threshold value, the output unit 13 outputs the corresponding recommended information. The operation display device 31 receives the output of the output unit 13 and presents recommended information. When eating out is selected, the output unit 13 outputs a message such as “Would you like to eat out tomorrow” as recommended information.

  In the configuration example described above, identification is performed for each user according to the type of the electric device 3, the location corresponding to the branch circuit, and the time zone. On the other hand, when each user holds a smartphone as the operation display device 31, it is possible to more accurately identify each user by using the identification information of the smartphone.

  The behavior management apparatus 1 according to the present embodiment described above includes the data acquisition unit 15, the first determination unit 111, the second determination unit 112, and the output unit 13. The data acquisition unit 15 acquires data related to user behavior. The first determination unit 111 determines whether a predetermined specific action has been performed based on the data acquired by the data acquisition unit 15, and sets the determination result as action information regarding the specific action. The second determination unit 112 determines whether or not the specific action is excessively performed with respect to the predetermined determination criterion by using the behavior information obtained by the first determination unit 111 regarding the determination period including the past period. To do. Furthermore, the second determination unit 112 sets the state determined to be excessive as the excessive state of the specific action. When the specific action is in an excessive state, the output unit 13 outputs recommended information recommended to the user as a response to the excessive state.

  According to this configuration, it is possible to make the user aware that the specific action is in an excessive state, and to output recommended information that avoids or reduces the excessive state. If the recommended information is appropriate content that interests the user, the user can be enjoyed or expected, and the user is guided to take action to avoid or reduce the excess state according to the recommended information. .

  The data acquisition unit 15 is preferably configured to acquire at least one of the following as data. The data includes power value data consumed by the electric device 3 used by the user in the house 10, ON / OFF data of the electric device 3, and data related to the operation status of the electric device 3 resulting from the user's operation. Selected from.

  According to this configuration, it is possible to determine whether or not the user has performed a specific action using data related to the electrical device 3.

  Further, the data acquisition unit 15 uses at least one of the type of the electrical device 3 corresponding to the data, the time zone in which the data occurred, and the location where the electrical device 3 corresponding to the data is disposed, It is desirable to determine the identification of the user and the type of specific action.

  According to this configuration, at least a part of the information about where, when and what can be obtained, it becomes easy to estimate the user and the specific action performed by the user.

  The data acquisition unit 15 is preferably configured to acquire data of a schedule representing a user's action schedule as data.

  According to this configuration, it is possible to estimate whether or not the user has performed the specific action based on the action reported by the user based on the schedule data set by the user.

  It is desirable that the determination criterion is set with at least one of the following as a scale. That is, the determination criterion is selected from whether or not the specific action is performed in the determination period and the frequency of performing the specific action in the determination period. In addition, the determination criterion is selected from the elapsed time since the last specific action was performed in the determination period, the length of time the specific action was performed in the determination period, and the distribution of the period in which the specific action was performed in the determination period .

  According to this configuration, it is possible to select an appropriate determination criterion according to the type of specific action.

  There are a plurality of types of specific actions, and it is desirable that a plurality of determination periods are set in association with a plurality of types of specific actions on a one-to-one basis. In addition, it is preferable that the second determination unit 112 determines whether or not the corresponding specific action is excessively performed in the determination period associated with each of the plurality of types of specific actions.

  According to this configuration, it is possible to determine whether or not the specific action is in an excessive state using an appropriate criterion according to the type of the specific action.

  There are a plurality of types of specific actions, and it is desirable that the plurality of types of specific actions are classified into groups according to the types in advance. In addition, when the group includes two or more types of specific actions, the second determination unit 112 regards the two or more types of specific actions in the group as a single specific action, and the single specific action is excessively performed. It is desirable to determine whether or not

  According to this configuration, rather than determining whether or not multiple types of specific actions are in an excessive state individually, the same type of specific actions are regarded as a single group and whether or not each group is in an excessive state is determined. be able to. That is, even if it is determined that the number of individual specific actions is small and not in an excessive state, the number of specific actions is accumulated in a group. The accuracy of judgment increases.

  It is desirable that the content of the recommended information is determined so as to correspond to the type of specific action that the second determination unit 112 has determined to be in an excessive state.

  According to this configuration, recommended information corresponding to the type of specific action is output, and it is possible to output recommended information that is easy to accept for the user, instead of uniform recommended information for an excessive state.

  In the behavior management device 1, the importance level is set for the specific behavior, and the recommended information is preferably content according to the importance level of the specific behavior for the user.

  According to this configuration, it is possible to determine appropriate contents such as rest, other actions, and requests from others as recommended information according to the importance of the specific action.

  It is desirable that the behavior management apparatus 1 includes an excessive level evaluation unit 121 that evaluates an excessive level that is an excessive level with respect to the specific behavior determined to be in an excessive state. In this case, it is desirable that the recommended information is content corresponding to the excess level evaluated by the excess level evaluation unit 121.

  According to this configuration, when the excessive level is high, it is possible to output recommended information that is highly effective for eliminating the excessive state for the user, and the user implements the recommended information by optimizing the recommended information. It is possible to enhance the effect of guiding.

  The excess level evaluation unit 121 desirably evaluates the excess level higher as the period during which the excess state continues is longer.

  Generally, the longer the time during which the excess state continues, the higher the possibility that the stress associated with the specific action will accumulate in the user. Therefore, it is possible to output more appropriate recommended information by increasing the excess level as the period in which the excess state continues is longer.

  It is desirable that the behavior management device 1 includes the necessity evaluation unit 122 that evaluates the degree of necessity for the user who performs the recommended behavior as a necessary level. In this case, it is desirable that the output unit 13 outputs the necessary level together with the recommended information.

  According to this configuration, the necessary level for the user is evaluated for each recommended information. Therefore, it is possible to enhance the effect of guiding the user to execute the recommended information by outputting the recommended information having a high required level by evaluating the required level of the recommended information that is difficult to obtain the user's interest.

  The necessity evaluating unit 122 desirably obtains at least one of a loss that the user may suffer due to the excessive state and a profit due to the elimination of the excessive state as a necessary level.

  That is, since the necessary level is determined using a scale of loss and profit for the user, it is possible to output recommended information with little loss and large profit, and the benefit for the user is increased.

  The behavior management device 1 desirably includes a behavior storage unit 143 that stores behavior information when the first determination unit 111 determines that a specific behavior has been performed. In this case, the second determination unit 112 determines whether or not the specific action is excessively performed using the action information stored in the action storage unit 143.

  That is, since the first determination unit 111 stores the behavior information in the behavior storage unit 143 every time it is determined that the specific behavior has been performed, it is possible to quickly determine whether the specific behavior is in an excessive state.

  The behavior management apparatus 1 may include a data storage unit 140 that stores data acquired by the data acquisition unit 15. In this case, the first determination unit 111 collectively determines whether or not the specific action has been performed in the past period of the determination period using the data stored in the data storage unit 140. Further, the second determination unit 112 determines whether the specific action is excessively performed using the action information.

  According to this configuration, since it is determined collectively whether or not the specific action has been performed in the past determination period using the data stored in the data storage unit 140, the process of determining whether or not the specific action has been performed It becomes possible to concentrate and perform. That is, when a processor that performs other processing is also used as the first determination unit 111 and the second determination unit 112, it is determined whether or not a specific action has been performed in a time zone with a small processing load. Thus, it is possible to reduce the contention of the processing of the processor.

  The output unit 13 preferably outputs the date and time to be included in the recommended information based on the free time estimated that the user does not have to perform the specific action based on the data acquired through the data acquisition unit 15.

  That is, by selecting a free time when the user is unlikely to perform a specific action as the date and time when the recommended information is to be implemented, the possibility that the user will act according to the recommended information can be increased.

  The behavior management method in this embodiment outputs recommended information in the following procedure. That is, the first determination unit 111 determines whether a predetermined specific action has been performed based on data related to the user's action, and uses the determination result as action information related to the specific action. Next, the second determination unit 112 determines whether or not the specific action is excessively performed with respect to the predetermined determination criterion by using the action information obtained for the predetermined determination period including the past period. The state determined to be excessive is set as the excessive state of the specific action. Furthermore, when the specific action is in an excessive state, the output unit 13 outputs recommended information recommended as a response to the excessive state to the user.

  According to this method, it is possible to make the user aware that the specific action is in an excessive state, and to output recommended information for avoiding or reducing the excessive state. If the recommended information is appropriate content that interests the user, the user is guided to perform an action to avoid or reduce the excessive state according to the recommended information.

(Embodiment 2)
In the present embodiment, as shown in FIG. 2, the first determination unit 111 includes one or more sensor devices 51, 52, 52 arranged in the house 10 in addition to the data related to the electrical equipment 3 and the schedule data. ... illustrates a configuration using data output by 5n. The data acquisition unit 15 is configured to communicate with the sensor devices 51, 52, ..., 5n. Therefore, the sensor devices 51, 52,..., 5 n include a sensor for monitoring the environment and a communication unit that communicates with the data acquisition unit 15.

  In this embodiment, the data acquisition unit 15 and the sensor devices 51, 52, ..., 5n perform wireless communication using radio waves as a transmission medium. However, it is not essential that the transmission medium used for communication between the behavior management device 1 and the sensor devices 51, 52,..., 5n is radio waves, and this communication may be wired communication.

  In the illustrated example, the sensor device 51 measures the air environment in the house 10. Therefore, the sensor device 51 includes a sensor such as a temperature sensor and a humidity sensor, and preferably includes a sensor that measures air quality. Air quality here means the concentration of carbon dioxide, pollen, particulate matter, volatile organics, and the like.

  The sensor device 52 detects whether or not a person is present in the detection area, and the sensor device 53 images the inside of the house 10. Therefore, the sensor device 52 includes a sensor that detects a person such as a pyroelectric infrared sensor, and the sensor device 53 includes a sensor that captures an image such as an area image sensor. The sensor device 52 and the sensor device 53 may also serve as a sensor.

  The sensor device 53 outputs image data corresponding to an image taken by the area image sensor. Information about the user is extracted from the image data using an image processing technique. The information extracted from the image data is, for example, information on whether or not a person is present in the field of view, information for identifying a person included in the image, information for identifying a person's action, information on a person's facial expression, and the like. .

  The process of extracting information about the user from the image data can be performed in the behavior management apparatus 1, but it is desirable to perform the process on a server (described later) provided separately from the behavior management apparatus 1 because the processing load is large. When the server is used, the image data acquired by the data acquisition unit 15 from the sensor device 53 is transmitted from the behavior management device 1 to the server, and the behavior management device 1 acquires the result processed by the server, whereby the first determination unit 111 can be used to determine a specific action.

  Furthermore, the sensor device 54 acquires the sound inside the house 10. The sensor device 54 includes a sensor such as a microphone to which sound is input, and outputs sound data corresponding to the sound input from the sensor. The voice data output from the sensor device 54 is converted into text data using voice recognition technology, and the semantic analysis of the text data is performed, whereby data related to the user's behavior is extracted from the text data.

  The process of extracting the data related to the action from the audio signal has a large processing load. Therefore, it is desirable to perform the process using a server described later provided separately from the action management apparatus 1. In the case of using a server, the audio data acquired from the sensor device 54 by the data acquisition unit 15 is transmitted from the behavior management device 1 to the server, and the behavior management device 1 acquires the result processed by the server, whereby the first determination unit 111 can be used to determine a specific action.

  The sensor device 55 acquires vital data reflecting the user's health state, and the sensor device 56 estimates the user's sleep state. The sensor device 55 is configured to be used by being worn on the body by a user, and includes sensors such as a pressure sensor and a temperature sensor in order to acquire vital data such as a pulse, blood pressure, and body temperature. The sensor device 55 can also acquire data such as body weight and body fat percentage by communicating with a measuring device such as a body fat scale or a weight scale. If data such as the user's height, age, and sex is stored in the measurement device, the sensor device 55 also acquires this type of data from the measurement device. Furthermore, the sensor device 55 may be configured to include an acceleration sensor as a sensor, and it is desirable that data such as the number of steps, calorie consumption, and gait can be measured together. The sensor device 56 is installed at the bedside of the user like a sleep meter and measures the depth of sleep and the like. The sensor device 56 mainly includes a microphone that monitors the user's breathing sound and an infrared sensor that monitors the user's body movement as sensors.

  In the following, when it is not necessary to distinguish the sensor devices 51, 52,. The communication unit of the sensor device 5 performs wireless communication with the data acquisition unit 15 and causes the data acquisition unit 15 to acquire data based on the sensor output. Here, the sensor device 5 desirably includes a processing unit that performs processing for extracting data from the output of the sensor and delivers the extracted data to the communication unit. The processing unit may perform a process of compressing data extracted from the sensor output.

  Communication between the sensor device 5 and the data acquisition unit 15 may be either push-type communication or pull-type communication. In push-type communication, the sensor device 5 transmits data to the data acquisition unit 15 at the time when a change in the event monitored by the sensor device 5 is detected or at a predetermined timing. The change in the event is, for example, a change in the presence or absence of a person monitored by the sensor device 52. In the pull-type communication, the data acquisition unit 15 requests the sensor device 5 to transmit data at a predetermined timing. Push-type communication and pull-type communication can be selected according to the type of sensor device 5.

  In the present embodiment, a configuration example in which one data acquisition unit 15 communicates with a plurality of types of sensor devices 5 is shown. However, the behavior management device 1 includes a plurality of data acquisition units 15 that communicate with each sensor device 5. It may be.

  When the data acquisition unit 15 uses data acquired from the sensor device 5 as in the present embodiment, the amount of information for determining whether or not the user has performed a specific action increases. Therefore, it is possible to increase the type and accuracy of the specific action determined by the first determination unit 111 as compared with the case where only the data related to power and the schedule data are used.

  In addition, when acquiring vital data, it is possible to estimate the health state of the user. Therefore, when the output unit 13 outputs recommended information for exercise or going out, the information generation unit 101 is based on the health state. It is possible to set the date and time for implementing the recommended information. That is, since the user whose specific action is in an excessive state may have a deteriorated health state, the information generation unit 101 desirably generates the destination and the date / time as recommended information in consideration of the health state. .

  In the behavior management apparatus 1 of the present embodiment, it is desirable that the data acquisition unit 15 acquires vital data reflecting the user's health condition. In this case, it is desirable that the output unit 13 outputs the user's health status estimated based on the vital data, and outputs the date and time included in the recommended information based on the health status.

  In other words, since the user's health status is estimated based on the vital data, the recommended information can be implemented on the date and time of the health status suitable for implementing the recommended information.

  Other configurations and operations of the present embodiment are the same as those of the first embodiment, and the technique of the present embodiment can be used in combination with the technique of the first embodiment.

(Embodiment 3)
In the present embodiment, as illustrated in FIG. 4, the behavior management apparatus 1 includes an accompanying data acquisition unit 103 that acquires, as accompanying data, data related to an event that occurs outside the house 10 where the user lives. The accompanying data acquisition unit 103 is connected via a router 41 to a communication network 42 such as the Internet or a mobile telephone network. The accompanying data acquisition unit 103 can acquire various accompanying data through the communication network 42.

  In the present embodiment, accompanying data is used when the information generation unit 101 generates recommended information. When the recommended information is an action accompanied by going out, the accompanying data includes data on services that can be received at the destination, reservation status at the destination, congestion at the destination, weather at the destination, and the like. That is, accompanying data is used to estimate the benefits received by the user and the losses incurred by the user when the user goes to a recommended destination. The accompanying data regarding the weather includes data such as weather and temperature.

  The accompanying data may be data that triggers the use of power in the house 10. This type of data is at least one of data for requesting power saving and data for the unit price of electricity charges. The data for requesting power saving includes electricity forecasts and DR information (DR: Demand Response) regarding the area where the house 10 exists. The electric forecast includes an expected value of the ratio between the supplied power and the demand power at the peak of the daily demand power, and the DR information includes a start time and an end time of a period for requesting power saving. When power saving is requested or when the unit price of the electricity rate is high, the recommendation information recommends, for example, going out to reduce the power used in the house 10.

  In the present embodiment, the information generation unit 101 extracts destination candidates when generating recommended recommendation information that involves going out in order to avoid or eliminate an excessive state of specific actions, and the necessity evaluation unit 122 Use the accompanying data for the candidate to calculate the required level. That is, the necessity evaluation unit 122 considers the service received at the destination, the reservation status of the destination, the congestion of the destination, the weather of the destination, etc. for each destination candidate, and the user implements the recommended information corresponding to the destination. Find the required level.

  The output unit 13 compares the required level of the recommended information generated by the information generating unit 101 with a threshold value, and outputs recommended information exceeding the threshold value. Therefore, the output unit 13 outputs recommended information reflecting the accompanying data acquired through the accompanying data acquisition unit 103.

  The issuer of the accompanying data is a server connected to the communication network 42, and the accompanying data acquisition unit 103 acquires necessary accompanying data by communicating with a specific server. Alternatively, the accompanying data acquisition unit 103 communicates with a server that manages the location where the accompanying data exists in the communication network 42, and acquires the accompanying data via this server. The server may be composed of a plurality of computers in addition to the configuration using one computer. Further, the server may be configured with a cloud computing system.

  In the present embodiment, a configuration in which one accompanying data acquisition unit 103 acquires a plurality of types of accompanying data is employed. However, the behavior management apparatus 1 includes a plurality of accompanying data acquisition units 103 that acquire the accompanying data for each type. May be provided.

  In the behavior management apparatus 1 according to the present embodiment, the necessity evaluation unit 122 can determine a necessary level using accompanying data. For example, the necessity evaluation unit 122 is configured to convert the profit due to the implementation of the recommended information or the degree of loss due to the non-execution into money, and use the value of the converted money as the necessary level. Now, when the recommended information recommends the action of travel, it is assumed that accompanying data is obtained that the travel price to the hot spring is a campaign price ** yen cheaper than the normal price. In such a case, the information generation unit 101 increases the required level as the difference between the normal price and the campaign price increases. That is, the greater the difference, the higher the required level of recommended information, and the higher the possibility that the output unit 13 will adopt the recommended information.

  Similarly, the necessity evaluating unit 122 can determine a necessary level according to a time zone in which the destination is vacant by using data on the degree of congestion of the destination to be out of the accompanying data. That is, a necessary level is determined for each time zone. Therefore, the output unit 13 can output the recommended information by shifting the time zone for executing the recommended information according to the required level.

  When the accompanying data is data related to the weather, the necessity evaluation unit 122 can determine a necessary level according to the prediction of the weather at the destination. In this case, the destination candidate selected as the recommended information is changed according to the required level.

  When the accompanying data requests to reduce the power consumption in the house 10, it is desirable to go out during the corresponding time zone. Therefore, the necessity evaluating unit 122 sets the necessary level in the corresponding time zone high, and the output unit 13 can output recommended information having a high necessary level.

  For example, when the power consumption in the house 10 is reduced during the time when the air conditioner is used in the summer, it is desirable to go to a place such as a restaurant, department store, or library where the air is being cooled. In such a case, not only the time zone, but also the required level in consideration of the destination congestion and the destination weather are determined, and recommended information with a high required level is output from the output unit 13.

  The behavior management apparatus 1 according to the present embodiment includes an accompanying data acquisition unit 103 that acquires, as accompanying data, data related to an event that occurs outside the house where the user lives. In this case, it is desirable that the output unit 13 outputs recommended information reflecting the accompanying data acquired through the accompanying data acquisition unit 103.

  According to this configuration, it is possible to reflect the accompanying data on the recommended information or the necessary level, and it is possible to output recommended information that easily attracts the user's interest.

  When the accompanying data acquisition unit 103 acquires the time when the power consumption reduction in the house 10 where the user lives is required as the accompanying data through the accompanying data acquisition unit 103, the output unit 13 includes the content that prompts the user to go out. It is desirable to output recommended information. Here, it is desirable that the accompanying data includes at least one of data requesting power saving and data related to the unit price of the electricity bill.

  According to this configuration, when the time when the power consumption reduction is required in the house 10 is notified, the recommended information is output so as to reduce the power consumption in the house 10 by going out. Therefore, power consumption in the house 10 can be reduced by going out during cooling in summer or heating in winter.

  Other configurations and operations are the same as those in the first or second embodiment, and the technique of this embodiment can be employed in combination with the technique of the first or second embodiment.

(Embodiment 4)
As shown in FIG. 5, the present embodiment includes an information acquisition unit 16 that acquires information including recommended information adopted by a person different from the user. The configuration of the present embodiment assumes a case where a plurality of behavior management devices 1 communicate with a server through the communication network 42. The behavior management device 1 is configured to notify the server that the recommended information output by the output unit 13 has been adopted. The server collects recommended information adopted by the user for each content from a plurality of behavior management devices 1 and aggregates the recommended information, thereby generating statistical information indicating which recommended information is adopted. The information acquisition unit 16 acquires such statistical information from the server through the communication network 42.

  The statistical information acquired by the information acquisition unit 16 is given to the necessity evaluation unit 122, and the necessity evaluation unit 122 evaluates the necessary level using the statistical information. For example, since the recommended information adopted by many users is judged to be highly effective against the excessive state of specific behavior, the possibility that the output unit 13 adopts the information is increased by setting the required level high. be able to.

  It is more desirable not only to sum up recommended information transmitted from the behavior management device 1 to the server, but also to sum up the results of evaluation of the recommended information by the user who implemented the recommended information. That is, the subjective evaluation of the recommended information by the user who has executed the recommended information is aggregated, and the required level of the recommended information that is highly evaluated for many users is set high. The necessity evaluating unit 122 can output recommended information with high reliability from the output unit 13 by generating a necessary level based on a user's evaluation result for the recommended information.

  When the server tabulates the adoption results of recommended information from a plurality of behavior management devices 1, it is desirable to manage the attributes of the users who are using the behavior management device 1 as well. For example, if the composition of the family living in the house 10 and the user's age and gender are the user attributes, the recommended information adopted for each user attribute category can be aggregated. The user attributes may include information such as the user's occupation and anniversary. The user occupation information can be used for the user classification, and the anniversary information can be used for determining the timing at which the output unit 13 outputs the recommended information.

  Furthermore, when the recommended information includes an action such as travel, going to an amusement park or a movie theater, the breakdown of the adult fee and the child fee differs depending on the family structure. The required level can be determined by evaluating the amount.

  The behavior management apparatus 1 according to the present embodiment includes an information acquisition unit 16 that acquires recommended information adopted as a response to an excessive state by a person other than the user regarding the specific behavior determined by the second determination unit 112 as an excessive state. . In this configuration, the necessity evaluating unit 122 desirably obtains a necessary level based on statistical information regarding recommended information included in the information acquired by the information acquiring unit 16.

  According to this configuration, since a necessary level is obtained based on recommended information performed by another person, it is possible to output recommended information based on the recommended information adopted by another person. For example, it is possible to output recommended information that employs a large number of people.

  Other configurations and operations are the same as those in the first embodiment described above, and the technology described in this embodiment can be used in combination with the technology described in the other embodiments described above.

(Embodiment 5)
As described in the configuration of the first embodiment illustrated in FIG. 1, the determination period may include a future period from the management time point. The plan storage unit 141 stores schedule data related to the user's action schedule, and the schedule data includes past data retroactive from the management time point and future data with respect to the management time point. In the present embodiment, the second determination unit 112 sets the determination period so as to include a past period retroactive from the management time point and a future period with respect to the management time point.

  The past data with respect to the management time point is data relating to power and the data of the schedule that was scheduled to act once, and the future data with respect to the management time point is only the data of the schedule that is scheduled to act. As in the first embodiment, the first determination unit 111 determines whether a specific action has been performed using the data acquired by the data acquisition unit 15 regarding the determination period. Here, the first determination unit 111 determines that the specific action has been performed on the assumption that the future data is always performed with respect to the management time point.

  On the other hand, the second determination unit 112 determines whether the specific action is in an excessive state. At this time, the future specific action may be treated the same as the past specific action, but the probability of being implemented for the future specific action is appropriately given, and there is a difference in the handling with the past specific action. It may be allowed. For example, by multiplying the period of a specific action that is a future action schedule by a probability, it is possible to reduce the possibility that the specific action is judged to be in an excessive state by setting a period shorter than the period of the action schedule It is. For future specific actions, it is estimated that the longer the elapsed time from the management time, the lower the probability of performing the specific action scheduled, and the longer the time from the management time to the action schedule, the lower the probability. Also good.

  According to the configuration of the present embodiment, there is a possibility that even if a specific action only in the past is not in an excessive state, it is determined as an excessive state when a future action schedule is included. In this case, the information generation unit 101 can generate recommended information so as to change the future action schedule, and can prevent the specific action from becoming excessive.

  The behavior management apparatus 1 according to the present embodiment includes a plan storage unit 141 that stores data related to a user's behavior schedule in a future period. In this configuration, the determination period includes a future period, and the data acquired by the data acquisition unit 15 includes data related to an action schedule. Moreover, the 1st judgment part 111 calculates | requires the action information regarding specific action from the data regarding an action schedule. The second determination unit 112 uses the action information in the past period in the determination period and the action information in the future period in the determination period, so that the specific action is excessively performed with respect to the determination criterion. Determine whether or not.

  According to this configuration, since it is determined whether or not there is an excessive state including an action schedule in a future period, it is possible to detect the excessive state before performing the specific action, and to detect the excessive state of the specific action in advance. It is possible to output recommended information so as to prevent it.

  Other configurations and operations are the same as those in the first embodiment, and the technique of this embodiment can be used in combination with the other embodiments described above.

(Embodiment 6)
As described in the configuration example of the first embodiment illustrated in FIG. 1, the specific action to be monitored by the first determination unit 111 is registered in the setting storage unit 142. In the configuration of the first embodiment, when the user operates the operation display device 31, the target specific action is registered in the setting storage unit 142 through the setting unit 17.

  On the other hand, in the present embodiment, a configuration is adopted in which the setting unit 17 automatically sets a specific action in the setting storage unit 142 without the user operating the operation display device 31. In other words, the setting unit 17 of the behavior management apparatus 1 has a function of automatically learning a specific behavior to be monitored during use.

  In the first embodiment, it has been described that the condition used in the behavior management device 1 is automatically corrected by feeding back information to the behavior management device 1 while the behavior management device 1 is used. On the other hand, this embodiment employs a configuration in which the setting unit 17 automatically registers the specific behavior to be monitored in the setting storage unit 142 without the user feeding back information to the behavior management device 1. ing. That is, the setting unit 17 automatically extracts information inherent in the data acquired by the data acquisition unit 15 and automatically estimates information on the specific behavior registered in the setting storage unit 142 by estimating the user characteristics. Set.

  In the initial state, all types of specific actions that can be determined by the first determination unit 111 from the data acquired by the data acquisition unit 15 are set in the setting storage unit 142. In order to determine whether or not a specific action has been performed based on the data acquired by the data acquisition unit 15, it is necessary to extract a feature according to the specific action, and a program for extracting the corresponding feature is required. is there. That is, in the initial state, the setting storage unit 142 is set with all types of specific behaviors that can be identified by the program prepared in the behavior management device 1.

  In this state, the first determination unit 111 determines whether or not all types of prepared specific actions have been performed, generates action information for the performed specific actions, and stores the action information in the action storage unit 143. In the action storage unit 143, all actions performed by the user are stored as specific actions. However, as time elapses, specific actions with low frequency of registration of action information in the action storage unit 143 become clear. The frequency with which the behavior information is registered in the behavior storage unit 143 has an appropriate range for each type of specific behavior. The setting unit 17 confirms the frequency of the behavior information stored in the behavior storage unit 143 for each predetermined period, and the specific behavior in which a state with a frequency less than the appropriate range is continued a plurality of times (for example, three times) is stored in the setting memory. It excludes from the part 142.

  By repeating this operation, the type of specific action stored in the setting storage unit 142 is automatically adjusted to adapt to the user. That is, in the initial state, the processing load of the behavior management device 1 increases, but the processing load of the behavior management device 1 decreases with time, and the processing load is optimized.

  Other configurations and operations are the same as those of the first embodiment described above, and the technique of this embodiment can be used in combination with the technique of the other embodiments.

(Embodiment 7)
In embodiment mentioned above, the case where the action management apparatus 1 was implement | achieved as a one part structure of the controller of HEMS demonstrated. In the present embodiment, an example in which the behavior management apparatus 1 is configured using elements arranged in a distributed manner in the communication network 42 will be described. The basic elements of the behavior management device 1 are a data acquisition unit 15, a determination unit 11, and an output unit 13. Further, the information generation unit 101 generates recommended information output by the output unit 13. Of these elements, the data acquisition unit 15 acquires data related to the user's behavior, and is therefore preferably arranged in the house 10. On the other hand, the determination unit 11, the output unit 13, and the information generation unit 101 do not necessarily exist in the house 10. For example, the determination unit 11, the output unit 13, and the information generation unit 101 are realized in the server. And the operation display device 31 only need to be able to communicate with each other.

  Based on such a premise, the behavior management apparatus 1 of this embodiment includes a local device 110 and a center device 120 as shown in FIG. Elements constituting the behavior management device 1 are provided separately for the local device 110 and the center device 120. Further, the local device 110 and the center device 120 can communicate with each other through the communication network 42.

  The local device 110 is installed in the house 10. Therefore, the local device 110 may be realized as a part of the configuration of the HEMS controller. In the configuration example illustrated in FIG. 6, the data acquisition unit 15 and the output unit 13 are provided in the local device 110. In addition, the plan storage unit 141, the setting storage unit 142, and the setting unit 17 are also provided in the local device 110. The local device 110 includes a communication unit 184 for communicating with the center device 120 through the communication network 42.

  On the other hand, the center device 120 is arranged to be able to communicate with the local device 110 through the communication network 42. Therefore, the center device 120 is realized as a partial function of the server, or is realized using a dedicated server. The center device 120 of this embodiment includes a first determination unit 111, a second determination unit 112, an information generation unit 101, an excess level evaluation unit 121, a necessity evaluation unit 122, an action among the elements constituting the behavior management device 1. A storage unit 143 and a level storage unit 144 are provided. If the accompanying data acquisition unit 103 is necessary, the accompanying data acquisition unit 103 can be provided in the center device 120. Similarly, if the information acquisition unit 16 is necessary, the information acquisition unit 16 can also be provided in the center device 120. Further, the center device 120 includes a communication unit 185 for communicating with the local device 110 through the communication network 42.

  In the configuration of the present embodiment, the behavior management device 1 is configured by the local device 110 and the center device 120, and necessary information is exchanged between the local device 110 and the center device 120 through the communication network 42. This is different from the other embodiments described above. Even the behavior management apparatus 1 having such a configuration functions in the same manner as the other embodiments described above.

  In the present embodiment, elements such as the first determination unit 111, the second determination unit 112, and the information generation unit 101 that have a large processing load are realized by the center device 120 having a large hardware resource. It is possible to prevent an increase in hardware resources. In other words, the local device 110 can be realized using a HEMS controller.

  In the configuration example illustrated in FIG. 6, one local device 110 and one center device 120 are illustrated. However, the center device 120 may be configured to communicate with a plurality of local devices 110. That is, a configuration in which a plurality of local devices 110 share the center device 120 may be employed. In addition, it is possible to select how the elements constituting the behavior management device 1 are distributed to the local device 110 and the center device 120. For example, even if the center device 120 includes the output unit 13, the configuration may be adopted. Good.

  Other configurations and operations are the same as those of the first embodiment, and the technique described in this embodiment can be used in combination with the techniques of the other embodiments described above.

  The above-described embodiment is an example of the present invention. For this reason, the present invention is not limited to the above-described embodiment, and various modifications can be made according to design and the like as long as the technical idea according to the present invention is not deviated from this embodiment. Of course, it can be changed.

DESCRIPTION OF SYMBOLS 1 Action management apparatus 3 Electric equipment 10 House 13 Output part 15 Data acquisition part 16 Information acquisition part 103 Accompanying data acquisition part 111 1st judgment part 112 2nd judgment part 121 Excess level evaluation part 122 Necessity evaluation part 140 Data storage part 141 Plan storage unit 143 Action storage unit

Claims (23)

A data acquisition unit for acquiring data related to user behavior;
A first determination unit that determines whether or not a predetermined specific action has been performed based on the data acquired by the data acquisition unit, and sets a determination result as behavior information related to the specific action;
By using the behavior information obtained by the first determination unit regarding a determination period including a past period, it is determined whether or not the specific action is excessively performed with respect to a predetermined determination criterion, and is determined to be excessive. A second determination unit that sets the determined state as an excessive state of the specific action;
An action management device comprising: an output unit that outputs recommended information recommended as a response to the excess state when the specific action is in the excess state. The data acquisition unit
The data includes power value data consumed by an electric device used by the user in a house, on / off data of the electric device, and data related to an operation state of the electric device resulting from the user's operation. The behavior management device according to claim 1, wherein the behavior management device is configured to acquire at least one of the following. The data acquisition unit
The identification of the user and the identification using at least one of the type of electrical equipment corresponding to the data, the time zone in which the data occurred, and the location where the electrical equipment corresponding to the data is located The behavior management apparatus according to claim 1 or 2, wherein the behavior type is determined. The data acquisition unit
The behavior management apparatus according to any one of claims 1 to 3, wherein the data is configured to acquire schedule data representing the user's behavior schedule. The criterion is
Whether or not the specific action has been performed in the determination period, the frequency of performing the specific action in the determination period, the elapsed time since the specific action was last performed in the determination period, and the determination period in the determination period 5. The method according to claim 1, wherein at least one of a length of time during which the specific action is performed and a distribution of the period during which the specific action is performed in the determination period is set as a scale. The behavior management device described. A plan storage unit for storing data related to the user's action schedule in a future period;
The determination period includes the future period,
The data acquired by the data acquisition unit includes data related to the action schedule,
The first determination unit obtains the action information related to the specific action from data related to the action schedule,
The second determination unit uses the behavior information in the past period in the determination period and the behavior information in the future period in the determination period, so that the specific action is the determination criterion. It judges whether it is performed excessively with respect to. Action management device given in any 1 paragraph of Claims 1-5 characterized by things. There are multiple types of specific actions,
A plurality of the determination periods are set in a one-to-one correspondence with a plurality of types of specific actions,
The second determination unit
The determination period associated with each of the plurality of types of specific actions determines whether or not the corresponding specific actions are being performed excessively. Behavior management device. There are a plurality of types of the specific actions, and the plurality of types of specific actions are classified into groups according to the types in advance,
The second determination unit
When the group includes two or more types of specific actions, the two or more types of specific actions in the group are regarded as a single specific action, and whether or not the single specific action is excessively performed. It judges. The action management apparatus of any one of Claims 1-7 characterized by the above-mentioned. The content of the recommendation information is determined so as to correspond to the type of the specific action that the second determination unit has determined to be the excessive state. Behavior management device. An importance level is defined for the specific action,
The behavior management apparatus according to any one of claims 1 to 9, wherein the recommendation information is content according to the importance of the specific behavior for the user. An excessive level evaluation unit that evaluates an excessive level that is an excessive level with respect to the specific action determined to be in the excessive state;
The behavior management device according to any one of claims 1 to 10, wherein the recommendation information is content corresponding to the excess level evaluated by the excess level evaluation unit. The excess level evaluation unit includes:
The behavior management apparatus according to claim 11, wherein the excess level is evaluated higher as a period in which the excess state continues is longer. A necessity evaluation unit that evaluates the degree of necessity for the user performing the recommended action as a necessary level;
The behavior management apparatus according to any one of claims 1 to 12, wherein the output unit outputs the necessary level together with the recommended information. The necessity evaluation unit
The behavior management apparatus according to claim 13, wherein at least one of a loss that the user may suffer due to the excessive state and a profit due to the cancellation of the excessive state for the user is obtained as the required level. An information acquisition unit that acquires recommended information adopted by the person different from the user as a response to the excessive state with respect to the specific action determined by the second determination unit as the excessive state;
The behavior management apparatus according to claim 13 or 14, wherein the necessity evaluation unit obtains the necessary level based on statistical information regarding recommended information included in the information acquired by the information acquisition unit. An action storage unit that stores the action information when the first determination unit determines that the specific action has been performed;
The said 2nd judgment part judges whether the said specific action is performed excessively using the said action information which the said action memory | storage part has memorize | stored. The any one of Claims 1-15 characterized by the above-mentioned. The behavior management device according to item 1. A data storage unit for storing the data acquired by the data acquisition unit;
The first determination unit collectively determines whether the specific action has been performed in the past period of the determination period using the data stored in the data storage unit,
The behavior management apparatus according to claim 1, wherein the second determination unit determines whether the specific behavior is excessively performed using the behavior information. An incidental data acquisition unit for acquiring, as incidental data, data relating to an event that occurs outside the house where the user lives,
The behavior management apparatus according to any one of claims 1 to 17, wherein the output unit outputs the recommended information reflecting the accompanying data acquired through the accompanying data acquisition unit. When the accompanying data acquisition unit acquires, as the accompanying data through the accompanying data acquisition unit, a time when power consumption reduction in the house where the user lives is required, the output unit prompts the user to go out Output recommended information including
The behavior management apparatus according to claim 18, wherein the accompanying data includes at least one of data for requesting power saving and data related to a unit price of an electricity bill. The output unit is
The date and time to be included in the recommended information is output based on a free time estimated that the user does not have to perform the specific action based on data acquired through the data acquisition unit. The behavior management device according to any one of 1 to 19. The data acquisition unit acquires vital data reflecting the health status of the user,
The output unit is
The behavior management apparatus according to claim 18 or 19, wherein the health condition of the user estimated based on the vital data is output, and a date and time included in the recommended information is output based on the health condition. The first determination unit determines whether a predetermined specific action has been performed based on data related to the user's action, and the determination result is set as action information related to the specific action,
By using the behavior information obtained for a predetermined determination period including a past period, the second determination unit determines whether or not the specific behavior is excessively performed with respect to a predetermined determination criterion. The state determined to be an excessive state of the specific action,
When the specific action is in the excessive state, the output unit outputs recommended information recommended as a response to the excessive state to the user.   The program for functioning a computer as an action management apparatus of any one of Claims 1-21.

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