JP2016154036A - Behavior management device, behavior management method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a behavior management device capable of managing a change of a life pattern.SOLUTION: A behavior management device 1 includes: a data acquisition part 105; an estimation part 101; an information acquisition part 102; and an output part 106. The data acquisition part 105 acquires the data relating to a life environment of a user and acquired from the inside of the residence of a user. The estimation part 101 estimates a changing phenomenon of the past or future life pattern of the user based on the data inside of the residence acquired by the data acquisition part 105. The information acquisition part 102 acquires the information corresponding to the changing phenomenon recommended by the estimation part 101, the information being recommendation information for prompting the user to perform a behavior according to a change of the life pattern. The output part 106 outputs the recommendation information acquired by the information acquisition part 102.SELECTED DRAWING: Figure 1

Description

  The present invention generally relates to an action management apparatus, an action management method, and a program, and more specifically, relates to an action management apparatus, an action management method, and a program for managing user actions.

  2. Description of the Related Art Conventionally, a behavior management device has been proposed in which a GPS function is mounted on a mobile phone terminal or PDA, and useful information is estimated or searched from position information so that individual behavior can be managed (for example, see Patent Document 1). .

  The behavior management device described in Patent Literature 1 creates a behavior list based on information estimated or searched as described above (behavior information such as whether a user is walking or riding a vehicle). Thereby, the user's action of the day is managed.

JP 2003-76818 A

  By the way, in daily life, there may occur an event (change event) in which a life pattern is changed, such as a change in the family structure due to childbirth or the like, employment (co-working), and child enrollment. At this time, for example, the user may not be aware of what kind of behavior should be executed according to changes in life patterns, or an action that is preferably executed. When a user does not perform an action according to a change in a life pattern, the user may suffer a disadvantage. The behavior management device described in Patent Literature 1 only manages the user's daily behavior, and cannot manage the change of the user's life pattern. Therefore, in the behavior management device described in Patent Literature 1, it is not possible to reduce the disadvantages that the user may suffer when the user does not perform the behavior according to the change in the life pattern.

  Therefore, the present invention has been made in view of the above-described reasons, and an object thereof is to provide an action management apparatus, an action management method, and a program that can manage changes in life patterns.

  The behavior management device of the present invention is based on a data acquisition unit that acquires in-house data acquired from the user's house in relation to the user's living environment, and the in-house data acquired by the data acquisition unit, An estimation unit that estimates a change event of the user's life pattern in the past or the future, and information corresponding to the change event estimated by the estimation unit, the behavior corresponding to the change of the life pattern to the user An information acquisition unit that acquires recommended information to be urged, and an evaluation unit that evaluates a necessary level that represents a degree of necessity for the user with respect to the action urged by the recommended information.

  The behavior management method of the present invention is based on a data acquisition process for acquiring in-house data acquired from the user's house in relation to the user's living environment, and the in-house data acquired in the data acquisition process. A prediction process for estimating a change event of the user's life pattern in the past or the future, and information corresponding to the change event estimated by the estimation process, wherein the behavior according to the change of the life pattern is It includes an information acquisition process for acquiring recommended information to be urged by a user, and an evaluation process for evaluating a necessary level representing a degree of necessity for the user with respect to an action urged by the recommended information.

  The program of the present invention is based on the in-house data acquired by the data acquisition unit, the data acquisition unit for acquiring in-house data acquired from the user's house in relation to the user's living environment, and the data acquisition unit. An estimation unit that estimates a change event of the life pattern of the user in the past or in the future, information corresponding to the change event estimated by the estimation unit, and an action corresponding to the change of the life pattern This is a program for functioning as an information acquisition unit for acquiring recommended information prompting the user, and an evaluation unit for evaluating a necessary level representing the degree of necessity for the user with respect to the action prompted by the recommended information.

  The present invention has the effect of being able to manage changes in the user's life pattern.

It is a block diagram explaining the structure of the action management apparatus of Embodiment 1. FIG. It is a figure explaining the application example of the action management apparatus of Embodiment 1. FIG. It is a figure explaining an example of estimation of the change event of a user's life pattern. It is a block diagram explaining the structure of the action management apparatus of Embodiment 3.

1 Embodiment 1
1.1 Configuration As illustrated in FIG. 1, the behavior management apparatus 1 according to the present embodiment includes an estimation unit 101, an information acquisition unit 102, an evaluation unit 103, a storage unit 104, a data acquisition unit 105, an output unit 106, and a communication unit 107. It has.

  The behavior management apparatus 1 includes a processor and a memory, and the functions of the estimation unit 101, the information acquisition unit 102, the evaluation unit 103, the data acquisition unit 105, and the output unit 106 are programs that are stored in the memory. Is realized by executing.

  The behavior management apparatus 1 estimates a change event of the life pattern of the user in the past or the future, and when the change event is estimated, it is information according to the detection result and recommends the user to behave according to the change of the life pattern It is a device that outputs information. Here, the behavior management apparatus 1 estimates a change related to at least one of a time zone in which the user performs a specific behavior, a behavior based on the user's taste, and an event in the user's life as a change event. Here, the change regarding the time zone in which the user performs the specific action corresponds to, for example, “co-working”, “night work”, “changed to night-type life”, and the like. Moreover, the change regarding the behavior based on the user's preference corresponds to, for example, “excessive use of electrical appliances”, “longer bathing time”, and the like. In addition, the change related to the event in the user's life corresponds to, for example, “change in family composition (childbirth, etc.)”, “child admission”, and the like.

  In the present embodiment, “change in family structure (childbirth, etc.)”, “co-working”, “excessive use of electrical appliances”, “children's admission”, and the like are exemplified as changing events of the user's life pattern. Further, as the recommended information, various messages representing actions corresponding to each change event are exemplified. For example, the behavior management apparatus 1 outputs, as recommended information, a message prompting “purchase of a preparation (for example, purchase of baby products)” or “change of a power plan” for a change event “change in family structure”. To do. The behavior management apparatus 1 outputs a message prompting “change of the electricity rate plan” as recommended information for the event “co-working”, and “electrification” for the change event “excessive use of appliances”. A message prompting “new purchase or replacement of product” is output as recommended information. Further, the behavior management device 1 outputs a message prompting “change of the electricity rate plan” or “purchased preparation” as recommended information in response to the change event of “children's admission”.

  In the present embodiment, the behavior management device 1 is installed in a house 10 composed of a detached house as shown in FIG. A case where the behavior management apparatus 1 is used will be described as an example. Further, in the present embodiment, it is assumed that a family composed of at least a husband and a wife is assumed as a resident of the house 10 and these two people are users of the behavior management apparatus 1. However, the behavior management device 1 is not limited to this example, and can be used for various housings such as each dwelling unit of a housing complex or a two-family housing, and further, a non-residential building (facility) such as an office or a store. Can also be used.

  The behavior management apparatus 1 has a communication function with the distribution board 2 installed in the house 10. Specifically, the behavior management device 1 is configured to be able to communicate with the communication unit 22 housed in the cabinet 21 of the distribution board 2. In this embodiment, as an example, the behavior management apparatus 1 communicates with the distribution board (communication unit 22) 2 by wireless communication using radio waves as a medium. However, as a communication method between the behavior management device 1 and the distribution board (communication unit 22) 2, an appropriate method can be applied regardless of wireless communication or wired communication.

  Here, the distribution board 2 will be described. In the cabinet 21 of the distribution board 2, in addition to the communication unit 22, a measuring device 23 for measuring the power value consumed by the electric load is housed. The measuring device 23 is electrically connected to the communication unit 22 and is configured to output information on the measured power value to the behavior management device 1 via the communication unit 22 as power information.

  Details of the measuring device 23 will be described. In the present embodiment, the measuring device 23 is provided on the distribution board 2 as described above. The distribution board 2 has a plurality of branch breakers, and is configured to distribute power from an electric power system, power generation equipment, power storage equipment, or the like to a plurality of branch circuits. The measuring device 23 measures electric power for each of the plurality of branch circuits.

  The measuring device 23 has a plurality of current sensors corresponding to the plurality of branch circuits on a one-to-one basis, and measures the value of the current flowing through each branch circuit using the current sensor. As the current sensor, a current transformer (current transformer), a Hall element, a magnetoresistive element such as a GMR (Giant Magnetic Resistance) element, or a sensor such as a shunt resistance is used. As an example, here, the current sensor is a Rogowski coil that is composed of an air-core coil that does not use a core (coreless) and generates an output corresponding to the current passing through the inside.

  The measuring device 23 has a function of measuring, as voltage information, voltage values (instantaneous values) applied to a plurality of branch circuits, for example, on the secondary side of the main breaker in the distribution board 2. The measuring device 23 obtains a value of electric power (instantaneous electric power) passing through each of the plurality of branch circuits as a measured value based on the current values measured by the plurality of current sensors and the voltage information. In the present embodiment, the measuring device 23 is further configured to obtain, as a measured value, an electric energy obtained by integrating instantaneous power over a predetermined time (for example, 5 minutes, 10 minutes, etc.) for each of a plurality of branch circuits. Has been. That is, the power value measured by the measuring device 23 includes both the instantaneous power and the power amount.

  The measurement device 23 uses the information regarding the power value measured for each of the plurality of branch circuits as power information, and periodically transmits the power information to the behavior management device 1 via the communication unit 22 of the distribution board 2. It is configured.

  In the present embodiment, the behavior management apparatus 1 is a device installed in the house 10 and communicates with at least various devices including the display device 31, and has a function as a controller that controls these devices. ing. The device here is a device compatible with HEMS (Home Energy Management System).

  HEMS compatible devices are not only electric devices that consume power, such as a display device 31, an air conditioner 32, a television receiver 33, a washing machine 34, an IH (Induction Heating) cooking heater 35, and a charger 36 for an electric vehicle, Includes equipment such as power generation facilities. Note that the electrical device is not limited to the illustrated example, and may include, for example, a lighting fixture, a hot water supply device, and the like.

  The behavior management apparatus 1 is connected to a router 41 and performs communication with a device (compatible with HEMS) by, for example, a local area network (LAN) or wireless communication using a radio wave as a medium. However, as a communication method between the behavior management device 1 and the device, an appropriate method can be applied regardless of wireless communication or wired communication. Hereinafter, the electric devices such as the display device 31, the air conditioner 32, the television receiver 33, the washing machine 34, the IH cooking heater 35, and the charger 36 are collectively referred to as “electric device 3” unless otherwise distinguished.

  Furthermore, the router 41 is connected to a network 42 such as the Internet. Thereby, the behavior management apparatus 1 can communicate with the information terminal 43 connected to the network 42. The information terminal 43 here is an information terminal such as a smartphone, a tablet terminal, or a personal computer (personal computer), for example, and has a function as a user interface that receives and displays an operation input from the user.

  With such a configuration, the behavior management device 1 receives power information representing the value of power (power value) consumed by the electrical equipment (display device 31, air conditioner 32, television receiver 33, etc.) 3 from the measurement device 23. It can be acquired. Therefore, the behavior management device 1 displays the acquired power information on the display device 31 and the information terminal 43 to visualize (visualize) the power information or control the device based on the power information (HEMS compatible). It is possible to do.

  Note that wireless communication using radio waves as a medium performed between the distribution board (communication unit 22) 2 or the electrical equipment 3 and the behavior management apparatus 1 is, for example, a specific low-power radio in the 920 MHz band. .

  Hereinafter, the configuration of the behavior management apparatus 1 will be described with reference to FIG.

(1) Guessing unit 101
The estimation unit 101 is configured to estimate an event (change event) in which a change occurs in a user's life pattern in the past or in the future, using data related to the user's living environment.

  The estimation unit 101 uses a variety of data acquired by the data acquisition unit 105 described later to estimate an event that causes a change in the user's life pattern. Various data acquired by the data acquisition unit 105 corresponds to data related to the living environment of the user.

  The estimation unit 101 estimates a change event using data (in-house data) acquired in the user's house 10 as data related to the user's living environment. The in-house data is data generated (generated) with direct or indirect involvement of the user, such as data generated in the house 10 and data generated by the user. Specifically, the power value measured by the measuring device 23, the data obtained from the electrical device 3, and the data input by the user at the information terminal 43.

  The estimation unit 101 estimates the change event by analyzing the increase / decrease in the power consumption from the in-house data. Specifically, the estimation unit 101 increases or decreases the amount of power used in a time zone used in the house 10, increases or decreases the amount of power used by a specific electrical device 3 provided in the house 10, and a specific location in the house. Analyze at least one of the changes in power consumption used in

  The detection processing algorithm in the estimation unit 101 will be described later.

(2) Information acquisition unit 102
The information acquisition unit 102 is configured to acquire recommended information from the storage unit 104 described later. The recommended information is information corresponding to the change event estimated by the estimation unit 101, and is information that prompts the user to take an action according to a change in the user's life pattern.

  An algorithm for information acquisition processing in the information acquisition unit 102 will be described later.

(3) Evaluation unit 103
The evaluation unit 103 determines a necessary level representing the necessary level of recommended action (recommended action) recommended by the recommendation information corresponding to the change event estimated by the estimation unit 101 based on the content of the recommended action. Is configured to do. For example, the necessary level corresponding to the content of the change event and the recommended action is stored in the storage unit 104 described later in association with the recommended information. The evaluation unit 103 acquires a necessary level corresponding to the recommended information acquired by the information acquisition unit 102.

  In addition, the evaluation unit 103 may be configured to evaluate a necessary level that represents a necessary degree of behavior (recommended behavior) recommended (promoted) by the recommended information. Here, the required level of the recommended action is an evaluation index representing how much the execution of the recommended action is necessary for the user. Specifically, the required level of recommended action is the disadvantage that the user suffers by not performing the recommended action, the merit that the user can obtain by executing the recommended action, and how much the recommended action is performed in general It is judged based on items such as whether or not.

  The evaluation unit 103 acquires recommended information from the information acquisition unit 102, and evaluates a necessary level for a recommended action recommended by the acquired recommended information. Information used by the evaluation unit 103 to evaluate the required level of recommended action is stored in the storage unit 104, for example. The evaluation unit 103 is configured to read out this information from the storage unit 104 and evaluate the required level of recommended action.

  The algorithm of the evaluation process in the evaluation unit 103 will be described later.

(4) Storage unit 104
The storage unit 104 is a rewritable semiconductor memory, for example, and stores data related to the user's living environment according to a time series. The memory | storage part 104 memorize | stores the data of the fixed period (for example, for 18 months) retroactively from the present time.

  The storage unit 104 further stores a plurality of change events. Here, the change event is, for example, “birth”, “co-working”, “marriage”, “excessive use of electrical appliances”, or the like.

  Specifically, the storage unit 104 stores each of a plurality of change events in association with one or more pieces of recommended information. As described above, the recommended information for “birth” is, for example, “change in power rate plan” or “purchased preparation (for example, purchase of baby products)”, and the recommended information for “part-time work” is “change in power rate plan” Is. The recommended information includes a time when the recommended action is executed. For example, when the recommended information is “change in power rate plan”, the plan change time is included. Further, when the recommended information is “new purchase or replacement of electrical appliance”, the purchase or replacement timing of the electrical appliance is included.

  Further, as described above, the storage unit 104 stores information for evaluating the necessary level for the recommended action recommended by the recommended information.

(5) Data acquisition unit 105
The data acquisition unit 105 has a function of acquiring in-house data related to the user's living environment.

  The data acquisition unit 105 is configured to be able to acquire at least three types of in-house data, that is, device data, input data, and conversation data.

  Here, the device data includes power usage information that is at least one of data including ON / OFF of the electric device 3 provided in the house 10 and data including the magnitude of electric power consumed by the electric device 3. It is data. For example, the power usage information includes on / off information indicating whether the electrical device 3 is operating (on) or stopped (off), and power information indicating the magnitude of power consumption of the electrical device 3. Includes both.

  The data acquisition unit 105 acquires on / off information by performing communication between the behavior management device 1 and the electrical device 3, and acquires device data by acquiring power information from the measurement device 23.

  The data acquisition unit 105 stores the acquired device data in the storage unit 104 in association with information representing the date and time when the device data was acquired.

  Further, in the present embodiment, the behavior management apparatus 1 acquires various information that can be acquired from the electrical device 3 through communication with the electrical device 3 by the data acquisition unit 105 by including it in the device data. Information that can be acquired from the electrical device 3 by communication includes, for example, information such as a set temperature for the air conditioner 32, a watched program for the television receiver 33, and the amount of laundry for the washing machine 34.

  The input data is data input at the information terminal 43, for example, data (plan data) representing the life plan of the user's family. The plan data is family composition information relating to the composition of the family living in the user's house 10, and includes age information representing the age of each person belonging to the family. Age information is, for example, the date of birth. The family composition information may include a birth plan. For example, when a child is included in the family, the behavior management apparatus 1 can detect a life plan such as elementary school entrance, graduation, junior high school entrance, graduation, etc., using the age information of the child. . In addition, although input data was input with the information terminal 43, it is not limited to this. The behavior management apparatus 1 may include an input unit such as a keyboard, and the user may input input data using the input unit. Here, at least one of the information terminal 43 and the input unit corresponds to the operation unit.

  Further, the data acquisition unit 105 does not have to include all the functions described above. The data acquisition unit 105 only needs to include at least one of the functions described above.

(6) Output unit 106
The output unit 106 is configured to output the recommended information acquired by the information acquisition unit 102.

  In particular, the output unit 106 of the present embodiment is configured to output the recommended information acquired by the information acquisition unit 102 using the evaluation result of the evaluation unit 103. Specifically, the output unit 106 outputs recommendation information when the estimation unit 101 has estimated a change event and the required level of the recommended action evaluated by the evaluation unit 103 satisfies a predetermined condition. It is configured as follows. On the other hand, the output unit 106 does not output the recommended information when the required level of the recommended action evaluated by the evaluation unit 103 does not satisfy the predetermined condition even when the estimation unit 101 estimates the change event. It is configured as follows.

  That is, the output unit 106 outputs a change of the life pattern by outputting the recommended information when, for example, the change event is estimated by the estimation unit 101 and the evaluation unit 103 evaluates that the required level of the recommended action is relatively high. Encourage the user to perform recommended actions according to The behavior management apparatus 1 is configured such that the output unit 106 itself presents (notifies) recommended information to the user by display or voice. Alternatively, the behavior management device 1 may be configured such that the recommended information is transmitted to another device different from the behavior management device 1 and the recommended information is displayed or displayed by the other device. In the latter case, the output unit 106 outputs the recommended information to the communication unit 107, so that the recommended information is transmitted from the communication unit 107 to another device.

  Here, the other device that presents the recommended information is an electrical device (display device 31 or television receiver 33) 3 that can communicate with the behavior management device 1, or an information terminal 43 that is connected to the network. The output unit 106 not only presents the recommended information to other devices in real time, but also temporarily stores the recommended information in a server or the like, for example, e-mail, and the other devices acquire the recommended information at an arbitrary timing. It may be configured to present.

  As described above, the recommended information is information that prompts the user to perform an action (recommended action) that should or should be executed according to a change in the user's life pattern.

  Hereinafter, the recommended information output by the output unit 106 will be described using a specific example.

  For example, when the estimation unit 101 detects “co-working” as a life pattern change event, the output unit 106 recommends information corresponding to the change event (message prompting “change of power bill plan”). Is acquired from the storage unit 104. Then, when the evaluation unit 103 evaluates that the required level of recommended action (change of the power rate plan) recommended by the acquired recommended information is relatively high, the output unit 106 outputs the acquired recommended information.

  The output processing algorithm in the output unit 106 will be described later.

  In the present embodiment, the output unit 106 determines whether or not to output the recommended information corresponding to the change event based on the evaluation of the evaluation unit 103, but is not limited thereto.

  For example, the output unit 106 may output the recommended information corresponding to the change event regardless of the evaluation result, and may output the evaluation result together with the output.

(7) Communication unit 107
The communication unit 107 has a communication function for communicating with other devices including the communication unit 22 and the electric device 3 (including HEMS compatible devices).

  In the present embodiment, the communication unit 107 includes at least a first communication interface connected to the network 42 and a second communication interface connected to the measurement device 23. Here, the communication unit 107 employs different communication methods for the first communication interface and the second communication interface. However, the communication unit 107 may adopt a common communication method for the first communication interface and the second communication interface.

1.2 Guessing Process of Guessing Unit 101 Hereinafter, an algorithm of the guessing process in the guessing unit 101 will be described.

  The estimation unit 101 uses the in-house data to estimate a change event of the user's life pattern. The in-house data here is device data, input data, and the like.

  Specifically, the estimation unit 101 determines a change in at least one of a time zone in which a specific action predetermined for a user can take an action based on in-house data, an action based on a preference, and an event in life. Inferred as a change event.

  As an example, the estimation unit 101 estimates a change event from a change pattern of device data. For example, the estimation unit 101 uses the device data acquired by the data acquisition unit 105 in a predetermined period (for example, three months) that includes the current time and goes back to the past from the current time, and uses the air conditioner 32 or the television receiver in the daytime on weekdays. 33, or use of these combinations is detected. The air conditioner 32, the television receiver 33, or a combination thereof is simply referred to as an electric device 3.

  The estimation unit 101 detects a change in use of the electric device 3 during the daytime on weekdays. For example, the estimation unit 101 detects that the use of the electric device 3 is continuously detected during the daytime on weekdays from the on / off information included in the device data. Assume that the use of the electric device 3 is no longer detected.

  In this case, the estimation unit 101 detects a change from a lifestyle pattern in which the electric device 3 is used to a lifestyle pattern in which it is not used in the daytime on weekdays. The estimation unit 101 estimates “co-working” as a change event related to the time zone in which the specific action is performed. Usually, when one of the husband and the wife goes to work and the other is in a house during the daytime on weekdays, the air conditioner 32 or the television receiver 33 during the daytime on weekdays or a combination thereof is used. On the other hand, in the case of working together, the air conditioner 32 during the daytime on weekdays, the television receiver 33, or a combination thereof is not used. Therefore, when the use of the air conditioner 32 or the television receiver 33 during the daytime on the weekday in the first period or the combination thereof is detected and is not detected in the second period, the estimation unit 101 estimates the change event of co-working. can do.

  In addition, the estimation unit 101 assumes that the use of the electric device 3 is not detected during the nighttime period on weekdays, and the use is detected during the daytime period. In this case, the estimation unit 101 detects a change from a lifestyle pattern in which the electrical device 3 is not used to a lifestyle pattern used in the weekday daytime time zone during the weekday night time zone. The estimation unit 101 estimates “night work” as a change event related to the time zone in which the specific action is performed.

  Next, estimation using power information included in device data will be described.

  In this case, similarly to the estimation using the “on / off information”, the power information included in the device data acquired by the data acquisition unit 105 in a predetermined period (for example, three months) including the current time and going back to the past from the current time. Using, the use of the electric equipment 3 in the time zone of a weekday daytime is detected.

  For example, the estimation unit 101 assumes that a pattern in which the amount of power consumed by the electrical device 3 is larger than the standby power amount is detected, and that only a standby power amount pattern of the electrical device 3 is detected on a certain day. .

  In this case, the estimation unit 101 detects a change from a lifestyle pattern in which the electric device 3 is used to a lifestyle pattern in which it is not used in the daytime on weekdays. The estimation unit 101 estimates “co-working” as a change event related to the time zone in which the specific action is performed.

  Further, the estimation unit 101 can detect, for example, “night work” from the power information acquired in the night time zone, as described in the detection of the change in the life pattern using the “on / off information”.

  As another example, the estimation unit 101 estimates a change event by analyzing increase / decrease in power usage in a time zone in which a plurality of electrical devices 3 installed in the house 10 are used. Specifically, the estimation unit 101 uses the device data of each of the plurality of electrical devices 3 acquired by the data acquisition unit 105 in a predetermined period (for example, three months) including the current time and going back to the past from the current time. Then, the transition of the total amount of power used in a predetermined period is extracted. The estimation unit 101 analyzes the tendency of increase / decrease in power usage from the transition of power usage. For example, the first time zone is set to 7:00 to 22:00, and the second time zone is set to 22:00 to 7:00. In the predetermined period, the estimation unit 101 has been in a state where the power usage amount is large in the first time zone and low in the second time zone, but in the second time zone as the day passes thereafter. It is assumed that the amount of power used is large and decreased in the first time zone. In this case, the estimation unit 101 estimates a change event related to a time zone in which a specific action is performed, such that a user living in the house 10 has changed to a night-type life.

  In addition, it is preferable that the estimation part 101 determines whether the life pattern after a change is continued about a predetermined period (for example, one month) about apparatus data.

  Here, a specific example of the operation of the behavior management apparatus 1 will be described with reference to FIG. FIG. 3 schematically shows that the use of the electric device 3 (for example, the air conditioner 32) is detected during the daytime on weekdays. In FIG. 3, the horizontal axis is the time axis, and black circles on the time axis indicate that the use of the air conditioner 32 is detected from the device data pattern.

  The estimation unit 101 detects the use of the air conditioner 32 during the weekday daytime in the first period T1, and does not detect the use of the airconditioner 32 during the weekday daytime in the second period T2. Thereby, the estimation part 101 can detect that the lifestyle pattern in the time zone of a weekday daytime is changing by 1st period T1 and 2nd period T2. The estimation unit 101 detects “co-working” as a change event related to the time zone in which the specific action is performed.

  In addition, the estimation unit 101 detects a change event by analyzing an increase or decrease in the power consumption of a specific electrical device 3. Specifically, the estimation unit 101 uses the device data of the specific electrical device 3 acquired by the data acquisition unit 105 in a predetermined period (for example, three months) including the current time and going back to the past from the current time, Extract the transition of power consumption and analyze the trend of the extracted transition of power usage. When the estimation unit 101 obtains an analysis result indicating that the amount of power used is increasing as an analysis result, the estimation unit 101 represents a change event related to a change in behavior based on a preference, and the “electric appliance” Overuse of ". Here, the excessive use of the electric appliance means that the electric power consumption of the electric appliance (electric device 3) is more than doubled compared to the amount before the increase in the daily power consumption. In addition, this numerical value is an example and another numerical value may be sufficient.

  The estimation unit 101 has a tendency that the power usage of a specific electrical device 3 is increasing, and the power usage at the present time (estimation time) is more than double compared to before the increase , "Excessive use of appliances" is detected as a current change event. The estimation unit 101 is in a case where the power usage amount of the specific electrical device 3 is increasing, and when the power usage amount at the present time (estimation time) is less than twice that before the increase trend is estimated. Detecting “excessive use of appliances” as a possible change event in the future.

  Moreover, the estimation part 101 detects the change event by analyzing the increase / decrease in the electric power consumption of the electric equipment 3 in a specific place. Specifically, the estimation unit 101 includes the current time, and the device of the electrical device 3 installed in a specific place acquired by the data acquisition unit 105 in a predetermined period (for example, three months) that goes back to the past from the current time Use data to extract the transition of power consumption. For example, if it is extracted from the transition of the power usage of the electrical equipment 3 (for example, lighting equipment) provided in the bathroom, the analysis result “longer bathing” is obtained. . In this case, the estimation unit 101 detects “longer bathing” as a change event related to behavior based on preference.

  Moreover, the estimation part 101 does not need to include all the functions mentioned above about the analysis of increase / decrease in electric power consumption. The data acquisition unit 105 only needs to include at least one of the functions described above. Moreover, you may detect a change event combining the function mentioned above. By combining the above-described functions, the estimation unit 101 detects, for example, as a change event that the air conditioner 32 (specific electrical device 3) is frequently used in a midnight time zone in a child's room (specific location). can do.

  In addition, it is preferable that the estimation unit 101 determines whether or not a predetermined period (for example, one month) continues after the change in the increase or decrease in the power consumption occurs using the device data.

  Moreover, it is preferable that the estimation part 101 estimates the change event by analyzing the increase / decrease in the number of people living in the house 10 using the power consumption information.

  For example, the estimation unit 101 analyzes the increase or decrease in the number of people living in the house 10 during the daytime on weekdays based on the increase or decrease in the power usage obtained from the power usage information. For example, when the power consumption is decreasing, an analysis result is obtained that the number of people living in the house 10 is decreasing during the daytime on weekdays. In this case, the estimation unit 101 estimates “co-working” as the change event.

  Note that the estimation unit 101 may estimate the change event by combining the on / off information and the power usage information.

  Next, estimation of a change event that may occur in the future using “plan data” as input data will be described. The estimation unit 101 uses the age information included in the family structure information acquired by the data acquisition unit 105 to estimate future change events related to events in life. Specifically, when detecting that the user's child enters the elementary school next year from the age information, the estimating unit 101 estimates “children's entrance” as a future change event.

  Further, when the family composition information includes a birth plan, “birth” is estimated as a future change event based on the birth plan. Specifically, the estimation unit 101 extracts a plan in which a child is born next year in the birth plan, for example, if a keyword “birth” is extracted from the plan data, the future change event “birth” is estimated.

  As described above, the behavior management apparatus 1 uses the in-house data to change changes related to at least one of the time zone in which the user performs a specific behavior, the behavior based on the user's preference, and the user's life event. Can be inferred as a change event.

  Moreover, it is preferable that the estimation part 101 estimates a change event by analyzing future electric power consumption using both apparatus data and plan data.

  Specifically, the estimation unit 101 detects the current power usage using the device data. The estimation unit 101 analyzes a future increase / decrease in power usage from the power usage up to now and the family composition information.

  For example, the estimation unit 101 assumes a case where a child and a mother are currently living in the house 10 during daytime on weekdays. Further, it is assumed that the power usage amount during weekday daytime is 300 W, and an event that a child enters the school is detected one year later from the family structure information. In this case, after the entrance of the child, the estimation unit 101 decreases the number of people living in the house 10 during the daytime on weekdays. Therefore, an analysis result is obtained that the future power usage is reduced from the current power usage (300 W), and becomes, for example, 100 W to 200 W as the power usage during the daytime in the future on weekdays.

  At this time, the information acquisition unit 102 acquires recommended information corresponding to the future power consumption that is the analysis result from the storage unit 104.

  As another example, it is assumed that the average daily power consumption is 600 W, and an event that a child is born after one year from the family structure information is detected. In this case, since the number of family members increases after the birth of the child, the estimation unit 101 increases the future power consumption from the current power consumption (600 W), for example, as the future power consumption. An analysis result of 700W to 800W is obtained.

  When the future power usage analysis is performed using both the device data and the plan data, the information acquisition unit 102 stores the recommended information corresponding to the future power usage as the analysis result. 104.

1.3 Information Acquisition Process of Information Acquisition Unit 102 An information acquisition process algorithm in the information acquisition unit 102 will be described below.

  The information acquisition unit 102 acquires recommended information corresponding to the change event estimated by the estimation unit 101 from the storage unit 104.

  Hereinafter, a specific example will be described.

  When the estimation unit 101 detects “co-working” or “night work” as a change event, it is estimated that the number of people living in the house 10 is decreasing in a specific time zone (commuting time zone). Therefore, in this case, the information acquisition unit 102 acquires, from the storage unit 104, a message that prompts “change of the power rate plan” as recommended information.

  Moreover, when the estimation unit 101 detects “children's admission” as a change event, it is estimated that the number of people living in the house 10 is decreasing in a specific time zone (time zone for school). . In addition, stationery and other items must be prepared in advance when entering the school. For this reason, the information acquisition unit 102 acquires at least one of a message for prompting “change of the electricity rate plan” and a message for prompting “purchased preparation” from the storage unit 104 as recommended information.

  When the estimation unit 101 detects “excessive use of electrical appliances” as a change event, it is estimated that the current power usage amount tends to increase. If the electrical appliance (electrical device 3) is used excessively (frequently) as it is, there is a possibility that the electrical device 3 may fail in the near future. Alternatively, there is a possibility that a product that can be used with a power consumption smaller than the power usage of the electrical device 3 in use may be on sale. For this reason, the information acquisition unit 102 acquires, from the storage unit 104, a message that prompts “new purchase or replacement of electrical appliances” as recommended information.

  Assume that the estimation unit 101 detects “change to night-type life” as a change event. In this case, it is desirable to make a contract with a fee structure suitable for the user's lifestyle. Alternatively, it is more economical to use the power stored in the storage battery than to receive commercial power. Therefore, the information acquisition unit 102 acquires, from the storage unit 104, at least one of a message prompting “change of the electricity rate plan” and a message prompting “use of solar battery and storage battery” as recommended information.

  Assume that the estimation unit 101 detects “longer bathing” as a change event. In this case, when the electric water heater or the gas water heater is used, it is estimated that the payment amount of the electricity bill or the gas bill increases. Therefore, the information acquisition unit 102 acquires a message prompting “installation of a natural refrigerant heat pump water heater” from the storage unit 104 as recommended information. Alternatively, when the user uses an electric water heater, a message that prompts “new purchase or replacement of electrical appliance” may be acquired from the storage unit 104 as recommended information.

  It is assumed that the estimation unit 101 detects “a specific electrical device 3 is frequently used in a specific time zone (midnight time zone) in a specific place (child's room)” as a change event. In this case, the information acquisition unit 102 acquires a message for calling attention from the storage unit 104 as recommended information. Here, the message for prompting attention is a message indicating that the specific electrical device 3 (for example, the air conditioner 32) is overused.

  In addition, when the estimation unit 101 analyzes the increase or decrease in the future power usage from the current power usage and the family configuration information, the information acquisition unit 102 acquires recommended information corresponding to the future power usage. For example, it is assumed that the estimation unit 101 detects “birth” as a future change event from the birth plan included in the family composition information, and obtains an analysis result that the future power consumption increases. In this case, since the number of people living in the house 10 increases after giving birth, it is necessary for the information acquisition unit 102 to prompt a contract for a power rate plan corresponding to the increase in the number of people. Therefore, the information acquisition unit 102 acquires, from the storage unit 104, a message for prompting “change of the power rate plan” as recommended information.

  When the recommended information is “purchase / replacement of electrical appliances”, the information acquisition unit 102 receives information on the transition of the price of electrical appliances from other devices, and electrifies in the future based on the received price transitions. The time when the product is cheap (purchase and replacement time) may be predicted. In this case, the output unit 106 outputs recommended information including purchase and replacement timing.

  In addition, when the recommended information is “change of power rate plan”, the information acquisition unit 102 receives the execution time of the new plan for the power rate plan from another device, and specifies the time of changing the power rate plan in the future. May be. In this case, the output unit 106 outputs recommended information including the change timing of the power rate plan.

1.4 Evaluation Process of Evaluation Unit 103 An evaluation processing algorithm in the evaluation unit 103 will be described below.

  The evaluation unit 103 evaluates the required level of recommended behavior recommended by the recommended information associated with the event detected by the estimation unit 101.

  As described above, the required level of recommended action is an evaluation index indicating how much the recommended action is required for the user.

  That is, even if the recommended action is an action that is not necessary for the user (the required level is less than a predetermined threshold), it is not necessary to prompt the user for the recommended action. Therefore, the behavior management apparatus 1 according to the present embodiment is configured to output recommended information after the evaluation unit 103 evaluates the required level of recommended behavior.

  In the present embodiment, the evaluation unit 103 evaluates the required level of recommended action by quantifying it in a plurality of stages (for example, 10 stages). The behavior management device 1 compares a predetermined threshold value with an evaluation value of a necessary level, and outputs recommended information that prompts the user to take an action according to a change in the life pattern only when the necessary level is equal to or greater than the threshold value. If is less than the threshold, no recommendation information is output.

  For example, the evaluation unit 103 uses the risk information that represents the risk when the user does not execute the recommended action and the merit information that represents the merit when the user executes the recommended action, to determine the required level of the recommended action. It is configured to evaluate.

  In other words, if the recommended action is not executed, it is an action that the user suffers. Therefore, if the user does not execute the recommended action, some risk (disadvantage) may occur for the user. For example, when the recommended action is “new purchase or replacement of electrical appliance”, it is assumed that the risk information is information that the possibility that the electrical appliance breaks down because the user does not execute the recommended action. In this case, the evaluation unit 103 evaluates that the necessary level of the recommended action “new purchase or replacement of electrical appliance” is higher as the risk is higher (the possibility that the electrical appliance breaks down is higher).

  Further, since the recommended action is an action that has a merit for the user by executing it, when the user executes the recommended action, some merit (gain) may occur for the user. For example, it is assumed that a change event that can occur in the future obtained from the family structure information is “children's admission”, and a recommended action for the change event is “purchase of preparations”. In this case, by preparing in advance the items necessary for admission (bags, stationery, etc.), the child is happy and the parent-child relationship is improved. This information is merit information. The evaluation unit 103 evaluates that the required level of recommended action is higher as the child's entrance is closer.

  In the case where the required level is evaluated using at least one of risk information and merit information in this way, the evaluation unit 103 is configured to convert at least one of the risk information and merit information into money. Also good. That is, the evaluation unit 103 is configured to evaluate the required level according to the amount so that the required level becomes higher as the amount obtained by converting at least one of the risk information and the merit information into the monetary value is larger. Also good.

  For example, if the recommended action is “Change of electricity rate plan”, the electricity rate paid based on the electricity rate plan after the contract change is set to be higher than the electricity rate paid based on the electricity rate plan that the user currently contracts. Assume that information that is cheaper is merit information. In this case, the evaluation unit 103 requires the necessary level of the recommended action of “change of the electricity rate plan” as the amount obtained by converting the merit information into the monetary value (the difference between the current payment amount and the payment amount after the contract change) increases Is highly appreciated.

  Furthermore, the evaluation unit 103 evaluates the required level of recommended behavior using statistical information that is information acquired from another device different from the behavior management device 1 and represents statistics regarding the recommended behavior of a plurality of users. It is configured. Depending on the content of the recommended action, there are cases where there is no risk of not performing it, and there is no merit of performing it. Even if it is such an action, if it is the action which other users (many users) are performing, it may become an action with a high required level for a user. For example, when the recommended action is “new purchase or replacement of electrical appliances”, the evaluation unit 103 increases the number of other users who perform the same action as the recommended action in other users (many users). Assess that the required level of recommended action is high.

  By the way, the evaluation part 103 may be comprised so that the required level of recommended action may be evaluated by using several information (risk information, merit information, statistical information, etc.) mentioned above. For example, the evaluation unit 103 can evaluate the required level of recommended action using each of risk information and merit information, and can set the representative value of these required levels as the required level of recommended action. The representative value here is a maximum value or an average value. If the representative value is the maximum value, the evaluator 103 uses the larger value of the required level of the recommended action evaluated using the risk information and the required level of the recommended action evaluated using the merit information. Thus, it is determined whether the required level of recommended action satisfies a predetermined condition.

  In addition, the various information (risk information, merit information, and statistical information) described above corresponds to information for evaluating a necessary level for the recommended action recommended in the recommended information.

1.5 Output Processing of Output Unit 106 An algorithm of output processing in the output unit 106 will be described below.

  The output unit 106 is configured to determine whether to output recommended information using the detection result of the estimation unit 101 and the evaluation result of the evaluation unit 103. Specifically, the output unit 106 is evaluated by the evaluation unit 103 that the change event is detected by the estimation unit 101 and the required level of the recommended action represented by the recommended information corresponding to the detected change event is high. In this case, the recommendation information is output.

  When the evaluation unit 103 evaluates the required level of recommended behavior recommended by the recommended information acquired by the information acquisition unit 102, the output unit 106 uses the evaluation result to determine whether to output recommended information. to decide. Specifically, the output unit 106 determines to output the recommended information when the evaluation unit 103 evaluates that the required level of recommended action is high. The output unit 106 determines that the recommended information is not output when the evaluation unit 103 evaluates that the required level of recommended action is low.

  When the output unit 106 determines to output the recommended information, the output unit 106 outputs the recommended information. As described above, when the purchase / replacement time is predicted by the information acquisition unit 102, the output unit 106 outputs the predicted purchase / replacement time included in the recommended information.

2 Embodiment 2
In the first embodiment, the recommended information is output based on the in-house data, but in this embodiment, the recommended information based on the in-house data and the data transmitted from outside the house 10 is output.

  Specifically, the behavior management device 1 according to the present embodiment acquires recommended information to be output using in-house data, and uses the data transmitted from outside the house 10 to recommend the recommended behavior that is prompted with the recommended information. Perform the required level of evaluation.

  In the following, the present embodiment will be described focusing on differences from the first embodiment. In addition, the same code | symbol is attached | subjected to the component similar to Embodiment 1, and description is abbreviate | omitted suitably.

  The data transmitted from outside the house 10 is data including living cost related information related to the user's living cost, and is generated by a person different from the user. The living cost related information includes at least one of the policy information regarding the policy related to the user's living cost and the specific device information about the specific electrical device 3 related to the user's living cost.

  The measure information is information related to a power rate exchanged between the user and the electric power company. The measure information is, for example, information including at least one of a change in a power purchase price, a change in a power sale price, a change in a power rate plan, and a change in a consumption tax rate. The power purchase price is a power purchase price when the user purchases commercial power. The electric power selling price is a electric power selling price when the user sells the electric power stored in the generated electric power of the solar battery to the outside (such as an electric power company). The power rate plan is a contract plan in which a user contracts with an electric power company.

  Further, the specific device information includes, for example, at least one of performance change information indicating a change in performance of a predetermined electric device (specific electric device) and price change information indicating a change in price of the specific electric device. Contains. The specific electric device is a HEMS-compatible device, such as a solar power generation facility (including a solar battery and a storage battery), a natural refrigerant heat pump water heater, and the like. Here, the predetermined electrical device may be the electrical device 3 (for example, the air conditioner 32) that is already installed in the house 10, or may be an electrical device that is not yet installed (for example, a photovoltaic power generation facility). There may be.

  The performance change information is information on at least one of device efficiency information indicating a change in efficiency of a specific electrical device and power consumption information indicating a change in power consumption of the specific electrical device. The device efficiency information is information that represents a change in power generated by a solar cell that generates power using, for example, sunlight (a transition of the generated power with respect to time). As another example, device efficiency information is information that indicates changes in the rated output of specific electrical equipment including solar cells (changes in rated output with respect to years), conversion that converts sunlight in solar cells into electric power. This is information indicating a change in efficiency (transition efficiency with respect to years).

  Price change information is information representing a change in price of a specific electric device (including a solar battery and a storage battery) (a change in price with respect to years).

  In addition to the functions described in the first embodiment, the data acquisition unit 105 receives data including living cost related information from an external device and stores the data in the storage unit 104.

  As in the first embodiment, the information acquisition unit 102 acquires recommended information from the storage unit 104 according to a change event estimated based on in-house data.

  The evaluation unit 103 evaluates the necessary level representing the necessary degree of the recommended action recommended by the recommended information acquired by the information acquisition unit 102 using the living cost related information.

  Hereinafter, the evaluation performed by the evaluation unit 103 will be described using a specific example.

  A case will be described in which the recommended information is “change in power rate plan” and the measure information is included in the living cost related information.

  Here, it is assumed that the measure information includes a change in the power rate plan. In this case, the evaluation unit 103 evaluates that the necessary level of the recommended action is high when there is a merit by changing the power rate plan.

  For example, the evaluation unit 103 converts the current power consumption into a monetary value (first monetary value) based on the power rate plan currently contracted. The evaluation unit 103 converts the current power consumption into a monetary value (second monetary value) based on the new power rate plan. The evaluation unit 103 subtracts the second monetary value from the first monetary value and evaluates that the necessary level of the recommended action is higher as the value of the subtraction result is larger.

  As another example, it is assumed that the measure information includes a change in the power purchase price, a change in the power sale price, or a combination thereof. At this time, when there is a profit for the user in power trading, the evaluation unit 103 evaluates that the necessary level of recommended action is high in order to enable power trading.

  Next, a case where the recommended information is “purchase / replacement of electrical appliances” and the measure information is included in the living cost related information will be described.

  Here, it is assumed that the measure information includes a change (increase) in the consumption tax rate. In this case, the evaluation unit 103 evaluates that the required level of recommended action is high until the enforcement date of the change of the consumption tax rate, and evaluates that the required level of recommended action is low after the enforcement date.

  Next, a case where the recommended information is “purchase / replacement of electrical appliances” and the specific cost information is included in the living cost related information will be described.

  Here, it is assumed that the specific device information includes information on the performance change of the specific electrical device. At this time, when the evaluation unit 103 determines that the performance of the specific electrical device is improved, the evaluation unit 103 evaluates that the required level of the recommended action is high. For example, when the evaluation unit 103 determines that the power tends to increase from the transition of the power generated by the solar power generation, the evaluation unit 103 evaluates that the required level of the recommended action is high. In addition, when the evaluation unit 103 determines that the rated output tends to increase from the transition of the rated output of the specific electrical device, the evaluation unit 103 evaluates that the required level of recommended action is high. Moreover, the evaluation part 103 evaluates that the required level of recommended action is high, when it judges that conversion efficiency is increasing from the transition of the conversion efficiency which converts sunlight into electric power.

  As another example, it is assumed that the specific device information includes price change information of a specific electrical device. At this time, if the evaluation unit 103 determines that the price transition of the specific electrical device is slowing down, the evaluation unit 103 estimates that there will be no sudden price change in the future, and evaluates that the necessary level of recommended action is high. To do. For example, the evaluation unit 103 evaluates that the required level of recommended action is high when it is determined that the transition of the price of the solar battery or the storage battery is in a slowing tendency.

(Modification)
In the above, the cost of living related information has been used to evaluate the necessary level of recommended behavior prompted by the recommended information, but is not limited thereto.

  The living cost related information may be used to identify recommended information to be output together with the in-house data.

  Hereinafter, the case where the behavior management apparatus 1 specifies recommended information using the living cost related information will be described with a focus on differences from the above.

  In the present modification, the storage unit 104 stores each of the plurality of living cost related information in association with one or more pieces of recommended information.

  For example, when measure information (“change in power rate plan”) is included in the living cost related information, the recommended information “change in power rate plan” is associated with “change in power rate plan”. When the cost information (“change in power purchase price”) is included in the living cost related information, the recommended information “purchase of power” is associated with “change in power purchase price”. When measure information (“change in power sale price”) is included in the living cost related information, the recommended information “sale of power” is associated with “change in power sale price”. In addition, when the cost related information (“change in consumption tax rate (increase)”) is included in the living expense related information, the recommended information “purchase / replacement of appliances” is associated with “change in consumption tax rate (increase)” It has been.

  In addition, when the cost related information includes specific device information (“change in performance of a specific electrical device 3”), the recommended information “purchase / replacement of electrical appliances” is “performance of a specific electrical device 3”. Is associated with “change”. If the information related to living expenses includes specific device information (“price change of a specific electrical device 3”), the recommended information “purchase and replacement of electrical appliances” is “price change of a specific electrical device 3”. Is associated with.

  The information acquisition unit 102 acquires recommended information to be output from the storage unit 104 based on the change event detected from the in-house data and the living cost related information acquired by the data acquisition unit 105. Specifically, the information acquisition unit 102 compares one or more pieces of recommended information corresponding to the change event with one or more pieces of recommended information obtained from the living cost related information, and acquires common recommended information. If there is no common recommended information, the information acquisition unit 102 acquires recommended information to be output based on the current living environment.

  For example, it is assumed that the change event is “co-working”, and the living cost related information includes measure information (“change of power rate plan”). In this case, the recommended information obtained from the change event and the recommended information obtained from the living cost related information have the same contents. Therefore, the output unit 106 acquires the recommended information from the storage unit 104.

  Further, it is assumed that the change event is “children's admission” and the living cost related information includes measure information (“change of power rate plan”). In this case, “change in electricity rate plan” and “purchase of preparations” are associated with the change event as recommended information, and “change in electricity rate plan” is associated with the living cost related information as recommended information. ing. Therefore, the output unit 106 acquires the common recommended information “change in power rate plan” from the storage unit 104.

  It is assumed that the change event is “excessive use of electrical appliances” and the living cost related information includes measure information (“change (increased consumption tax rate)”). In this case, the change event is associated with “new purchase or replacement of electrical appliance” as recommended information, and the living expense related information is associated with “purchase or replacement of electrical appliance” as recommended information. The output unit 106 acquires common recommended information “purchase / replacement of electrical appliances” from the storage unit 104.

  As another example, it is assumed that the change event is “excessive use of electrical appliances” and the living cost related information includes specific device information (either “performance change” or “price change”). In this case, the change event is associated with “new purchase or replacement of electrical appliance” as recommended information, and the living expense related information is associated with “purchase or replacement of electrical appliance” as recommended information. The output unit 106 acquires common recommended information “purchase / replacement of electrical appliances” from the storage unit 104.

  As described above, when common recommendation information exists between one or more pieces of recommended information obtained from the change event and one or more pieces of recommended information obtained from the living cost related information, the information acquisition unit 102 Common recommended information is acquired as recommended information to be output.

  It is assumed that the change event is “change to night-type life” and the living cost related information includes measure information (“change of power purchase price” or “change of power sale price”). In this case, the change event is associated with “change of power rate plan” and “use of solar cells and storage batteries” as recommended information, and the living expense related information includes “purchase of power” and “power” as recommended information. "Sale of" is associated.

  In the case where a solar battery and a storage battery are installed, the output unit 106 sends “change of power rate plan” from the storage unit 104 as recommended information in order to prompt the user to change to a contract that enables the purchase and sale of power. get. When the solar battery and the storage battery are not installed, the output unit 106 “uses the solar battery and the storage battery” as recommended information in order to buy and sell power in the future and to reduce the amount of payment of the power charge. Is acquired from the storage unit 104.

  As another example, it is assumed that the change event is “longer bathing” and the living cost related information includes specific device information (either “performance change” or “price change”). In this case, the change event is associated with “installation of natural refrigerant heat pump water heater” and “new purchase or replacement of electrical appliances” as recommended information, and information related to living expenses is “purchase / replacement of electrical appliances” as recommended information. "Is associated. When the natural refrigerant heat pump water heater is not installed in the house 10, the output unit 106 acquires recommended information “installation of the natural refrigerant heat pump water heater” from the storage unit 104. If installed, the recommended information “purchase / replacement of electrical appliance” is acquired from the storage unit 104.

  As described above, when there is no common recommended information between one or more pieces of recommended information obtained from the change event and one or more pieces of recommended information obtained from the living cost related information, the information acquisition unit 102 Obtain recommended information to be output based on the current living environment.

  When the cost related information includes specific device information and the recommended information is “purchase / replacement of electrical appliances”, the information acquisition unit 102 determines when the electrical appliances will become cheaper in the future based on performance or price changes. (Purchase and replacement period) may be predicted.

  The required level of the recommended action prompted by the recommended information acquired by the information acquisition unit 102 is evaluated by the evaluation unit 103. The output unit 106 outputs recommended information when the evaluation unit 103 evaluates that the required level of recommended action is high. When the information acquisition unit 102 predicts the purchase / replacement time, the output unit 106 outputs the predicted purchase / replacement time included in the recommended information.

  As described above, the behavior management apparatus 1 of the present embodiment can output recommended information based on the change event and the living cost related information.

3 Embodiment 3
As shown in FIG. 4, the behavior management device 1 according to the present embodiment is divided into a local device (first device) 200 and a center device (second device) 210. Different from the management device 1. The local device 200 and the center device 210 are configured to be communicable via the network 42. Hereinafter, the same configurations as those of the first embodiment are denoted by common reference numerals, and description thereof is omitted as appropriate.

  In the present embodiment, the local device 200 is a device that is installed in the house 10 (see FIG. 2), for example, similarly to the behavior management device 1 of the first embodiment, and is connected to a network 42 such as the Internet. The local device 200 includes a data acquisition unit 105, an output unit 106, a first storage unit 201, and a first communication unit 202.

  The 1st memory | storage part 201 functions similarly to the memory | storage part 104 in the action management apparatus 1 of Embodiment 1. FIG.

  The first communication unit 202 functions in the same manner as the communication unit 107 in the behavior management device 1 of the first embodiment. Therefore, the local device 200 does not include the estimation unit 101, the information acquisition unit 102, and the evaluation unit 103, but realizes other functions equivalent to those of the behavior management device 1 of the first embodiment.

  On the other hand, the center device 210 is a computer such as a server installed outside the house 10 and is connected to the network 42. The center device 210 includes an estimation unit 101, an information acquisition unit 102, an evaluation unit 103, a second storage unit 211, and a second communication unit 212.

  The second storage unit 211 synchronizes with the first storage unit 201 of the local device 200 and functions in the same manner as the storage unit 104 in the behavior management device 1 of the first embodiment.

  The second communication unit 212 is configured to be able to communicate with the first communication unit 202 of the local device 200 via the network 42. Therefore, the center apparatus 210 implements a function equivalent to that of the behavior management apparatus 1 of the first embodiment in cooperation with the local apparatus 200 by communicating with the local apparatus 200.

  4 illustrates a configuration in which one local device 200 is connected to one center device 210. However, the configuration is not limited to this example, and a plurality of local devices may be connected to one center device 210. The device 200 may be connected.

  The center device 210 is not limited to a computer such as a server, and may be realized by a cloud (cloud computing). When the center apparatus 210 is a computer having a CPU and a memory, the function as the center apparatus 210 is realized by executing a program stored in the memory. The program here is a program that causes a computer to function as the center device 210.

  According to the configuration of the present embodiment described above, the behavior management apparatus 1 performs at least the processing of the estimation unit 101 that detects a change event not by the local apparatus 200 but by the center apparatus 210. It is possible to reduce the processing load. In other words, the behavior management device 1 distributes a plurality of functions to two or more devices, and the behavior management device 1 per device is compared with a case where all the functions are held in a device housed in one housing. Processing load can be reduced.

  Further, the configurations of the local device 200 and the center device 210 are not limited to the example of FIG. 4, and for example, the output unit 106 may be provided in the center device 210. However, in the behavior management apparatus 1, the processing load of the estimation unit 101, the information acquisition unit 102, and the evaluation unit 103 is relatively large. Therefore, it is preferable that at least one of the estimation unit 101, the information acquisition unit 102, and the evaluation unit 103, or a part of each function is provided in the center device 210 so as to reduce the processing load of the local device 200.

  Other configurations and functions are the same as those of the first embodiment.

4 Modifications The present invention is not limited to the above-described embodiments. For example, the following modifications can be considered.

  (1) In the above embodiments, the storage unit 104 is provided in the behavior management device 1, but is not limited thereto.

  The storage unit 104 may be provided in a device (external device) different from the behavior management device 1.

  In this case, the behavior management apparatus 1 receives, for example, recommended information from the external apparatus by communicating with the external apparatus.

  (2) In each of the above embodiments, the behavior management device 1 does not distinguish the subject of behavior, but the behavior management device 1 may be configured to distinguish the subject of behavior. As described above, when a family including at least a husband and a wife is assumed as a resident of the house 10, the behavior management apparatus 1 distinguishes who among them is the subject of the behavior.

  In this modified example, the behavior management apparatus 1 individually performs the change of the life pattern, the output of the recommended information, and the determination of the execution of the recommended behavior individually for each target. For example, when a change in life pattern is detected for a husband, recommended information is output to the husband and not output to the wife.

  (3) The output unit 106 of each of the above embodiments may be configured to have a function of changing the timing for outputting the recommended information corresponding to the change event according to the change event estimated by the estimation unit 101. .

  Specifically, when the change event detected by the estimation unit 101 is “co-working”, the output unit 106 recommends information (for example, Saturday or Sunday) on the day of the week when the couple is at home (for example, Saturday or Sunday). "Recommended action to change power plan" is output. As described above, when all the persons who perform the recommended action recommended by the recommended information are at home, the behavior management apparatus 1 outputs the recommended action to all the persons who perform the recommended action by outputting the recommended information. Can be conscious.

  In addition, when the estimation unit 101 detects a change event that may occur in the future (enrollment of a child), the output unit 106 recommends during the period from one month before the scheduled date when the changed event occurs to the scheduled date. Outputs information (purchased preparations). For example, when the estimated time is two months before the scheduled date, the output unit 106 does not output the recommended information at the present time, and outputs it at the time one month before the scheduled date.

  Thereby, the user can perform the action prepared for the change event of the user's life pattern which will occur soon.

  (4) The output unit 106 of each of the above embodiments may be configured to have a function of changing the timing of outputting the recommended information according to the recommended action recommended by the recommended information.

  Specifically, when the recommended action recommended in the recommendation information is “purchase of preparations”, the output unit 106 is a time zone before the user goes to shopping for food and the like (for example, from 9:00) The recommended information is output in the time zone up to 10:00.

  As described above, the behavior management apparatus 1 outputs the recommended information to the user who performs the recommended behavior before starting the behavior similar to the recommended behavior (for example, shopping for food, preparing dinner). Awareness of recommended actions.

  (5) The behavior management device 1 of each of the above embodiments may receive conversation data from another device installed in the house 10 and infer a change event from the conversation data. Here, the conversation data is data recognized from the user's voice and represents the content of the user's conversation.

  In this case, the data acquisition unit 105 acquires conversation data by performing communication between the behavior management device 1 and another device. The data acquisition unit 105 stores the acquired conversation data in the storage unit 104 in association with information representing the date and time when the conversation data was acquired.

  The estimation unit 101 extracts the content of the conversation from the conversation data in a predetermined period (for example, three months) that includes the current time and goes back to the past from the current time, and detects a change in the pattern from the content of the conversation. For example, it is assumed that the estimation unit 101 has not extracted the baby cry from the conversation data, but has extracted the baby cry from the conversation data on a certain day. In this case, the estimation unit 101 estimates “birth” as a change event.

  Note that it is preferable that the estimation unit 101 not only detect a change in conversation data but also determine whether the pattern after the change continues for a predetermined period (for example, one month).

  (6) The behavior management device 1 of each of the above embodiments may include a behavior determination unit. Here, after the recommended information is output by the output unit 106, the behavior management unit determines whether the recommended behavior recommended by the output recommended information is being executed during the behavior management period that is a predetermined period. Is configured to do. Here, the behavior management period is from, for example, one month after the date when the recommended information is output.

  When the behavior determining unit determines that the recommended behavior is not executed during the behavior management period, the behavior determining unit controls the output unit 106 to output again the recommended information that recommends the recommended behavior that is the determination target.

  Specifically, the behavior determination unit determines whether or not the recommended behavior is being executed during the behavior management period using the in-house data.

  For example, it is assumed that the recommended action recommended in the recommended information is “purchase / replacement of electrical appliances”. In this case, the behavior determination unit includes the power usage amount acquired in the behavior management period, and the power usage amount acquired in a period earlier than the behavior management period (for example, a period in which an event is detected, hereinafter referred to as a past period). Compare The behavior determining unit determines that the recommended behavior is being executed when determining that the power consumption during the behavior management period is lower. When determining that the power consumption during the behavior management period is equal to or greater than the power consumption during the past period, the behavior determination unit determines that the recommended action is not being executed, The recommended information recommending “purchase, replacement” is output again.

  As another example, a case where the recommended action recommended in the recommended information is “change in power rate plan” will be described. When the behavior management apparatus 1 receives data indicating that the contract change has been completed as notification data from an external device provided outside the house 10 within the behavior management period, the behavior determination unit executes the recommended behavior. Judge that If the behavior management device 1 does not receive data indicating that the contract change has been completed as notification data from the external device within the behavior management period, the behavior determination unit determines that the recommended behavior is not being executed. The behavior determination unit causes the output unit 106 to output “change of power rate plan” as recommended information again.

  Thereby, the output part 106 can output again the recommendation information which recommends the recommended action which is a judgment object, when the action judgment part judges that the recommended action is not performed.

  (7) You may combine the said embodiment and modification.

5 Summary As described above, the behavior management apparatus 1 of the present application includes the data acquisition unit 105, the estimation unit 101, the information acquisition unit 102, and the output unit 106. The data acquisition unit 105 acquires in-house data acquired from the user's house 10 in relation to the user's living environment. Based on the in-house data acquired by the data acquisition unit 105, the estimation unit 101 estimates a change event of a user's life pattern in the past or future. The information acquisition unit 102 is information corresponding to the change event estimated by the estimation unit 101, and acquires recommended information that prompts the user to take an action according to a change in life pattern. The output unit 106 outputs the recommended information acquired by the information acquisition unit 102.

  According to this configuration, the behavior management apparatus 1 can manage changes in the user's life pattern. Moreover, if the behavior management apparatus 1 estimates the change event of a lifestyle pattern, it will output the recommendation information according to the change event. Although the user may not be aware that a change in the life pattern has occurred in the daily life, the behavior management device 1 manages the change in the user's life pattern and outputs recommended information. You can be aware that changes are occurring in your life patterns. In addition, the behavior management apparatus 1 can prompt the user to perform behaviors according to changes in lifestyle patterns by outputting recommended information. Therefore, the user can execute an action that should be executed according to a change in the life pattern, or an action that is preferably executed.

  Here, it is preferable that the estimation part 101 estimates the change regarding at least one of the time slot | zone which performs a user's specific action, the action based on a user's taste, and the event of a user's life as a change event.

  According to this configuration, the behavior management apparatus 1 can infer a change related to at least one of a time zone for performing a specific behavior, a behavior based on preferences, and an event in life as a change event.

  Here, the data acquisition unit 105 is at least one of data including ON / OFF of the electric device 3 provided in the house 10 and data including the magnitude of electric power consumed by the electric device 3 as in-house data. It is preferable to acquire certain power usage information.

  According to this configuration, the behavior management apparatus 1 can estimate a change event using the power usage amount.

  Here, it is preferable that the estimation unit 101 detects the change event by analyzing the power usage amount from the in-house data. Here, the increase / decrease in the amount of power used means the increase / decrease in the amount of power used in the time zone used in the house 10, the increase / decrease in the amount of power used by a specific electrical device provided in the house 10, and the specific amount in the house 10. It is at least one of the increase and decrease of the electric power consumption used in a place.

  According to this configuration, the behavior management apparatus 1 increases / decreases the power consumption in the time zone used in the house 10, increases / decreases the power usage of a specific electrical device, and increases / decreases the power usage used in a specific location. By analyzing at least one, a change event can be inferred.

  Here, it is preferable that the estimation unit 101 detects the change event by analyzing the increase / decrease in the number of people living in the house 10 from the increase / decrease in the power consumption obtained from the in-house data.

  According to this configuration, the behavior management apparatus 1 can estimate a change event by analyzing the increase / decrease in the number of people living in the house 10 from the increase / decrease in power consumption.

  Here, when there is a change in the increase / decrease in the power usage, the estimation unit 101 preferably analyzes the tendency of the increase / decrease in the power usage and predicts a possible change event in the future.

  According to this configuration, the behavior management apparatus 1 estimates a change event that may occur in the future from the tendency of increase / decrease in the power consumption, and outputs recommended information corresponding to the change event that can occur in the future. Thereby, the user can perform an action in preparation for a change event that may occur in the future.

  Here, it is preferable that the data acquisition unit 105 acquires data including age information, which is family configuration information regarding the configuration of the family living in the home 10 input from the operation unit by the user as the in-house data. It is preferable that the estimation unit 101 detects a future change event from the family composition information acquired by the data acquisition unit 105. Here, the operation unit corresponds to at least one of the input units provided in the information terminal 43 and the behavior management apparatus 1.

  According to this configuration, the behavior management apparatus 1 estimates a future change event based on the family configuration information, and outputs recommended information corresponding to a change event that may occur in the future. Thereby, the user can perform an action in preparation for a change event that may occur in the future.

  Here, it is preferable that the data acquisition unit 105 acquires family composition information including a future birth plan as in-house data.

  According to this configuration, the behavior management apparatus 1 can estimate a future change event based on the birth plan.

  Here, the data acquisition unit 105 uses power that is at least one of data including on / off of the electrical device 3 provided in the user's house 10 and data including the amount of power consumed by the electrical device 3. It is preferable to acquire quantity information. It is preferable that the estimation unit 101 analyzes the future increase / decrease in power usage from the power usage information up to now and the family composition information. The output unit 106 preferably outputs recommended information corresponding to future power usage.

  According to this configuration, the behavior management apparatus 1 can estimate a future change event by analyzing the future power usage from the power usage information and the family configuration information.

  Here, the data acquisition unit 105 further includes at least one of measure information regarding measures related to the user's living cost and specific device information regarding the specific electrical device 3 related to the user's living cost. It is preferable to acquire information. The output unit 106 preferably outputs recommended information based on the change event estimated by the estimation unit 101 and the living cost related information acquired by the data acquisition unit 105.

  According to this configuration, the behavior management apparatus 1 can acquire recommended information from the change event and the living cost related information.

  Here, it is preferable that the behavior management apparatus 1 further includes an evaluation unit 103 that evaluates a necessary level representing a degree of necessity for the user with respect to the behavior prompted by the recommended information. The output unit 106 is configured to output recommended information using the evaluation result of the evaluation unit 103.

  According to this configuration, the behavior management apparatus 1 can output the recommended information based on the evaluation of the necessary level for the behavior prompted by the recommended information.

  Here, it is preferable that the evaluation unit 103 is configured to evaluate a necessary level using at least one of risk information and merit information. The risk information is information representing the risk when the user does not execute the action prompted by the recommended information, and the merit information is information representing the merit when the user performs the action prompted by the recommended information.

  According to this configuration, the behavior management apparatus 1 can evaluate the required level of behavior prompted by the recommended information using at least one of risk information and merit information.

  Here, the evaluation unit 103 is configured to evaluate the necessary level according to the amount so that the necessary level becomes higher as the amount obtained by converting at least one of the risk information and the merit information into the monetary value is larger. Preferably it is.

  According to this configuration, the behavior management apparatus 1 can evaluate the necessary level of behavior prompted by the recommended information based on the amount obtained by converting at least one of the risk information and the merit information into a monetary value.

  Here, the evaluation unit 103 is configured to evaluate a necessary level by using statistical information that is information acquired from another device and that represents statistics regarding behaviors that are encouraged by recommended information of a plurality of users. Is preferred.

  According to this configuration, the behavior management apparatus 1 can evaluate the necessary level of behavior recommended by the recommended information using the statistical information.

  Here, it is preferable that the data acquisition unit 105 further acquires living cost related information including at least one of measure information related to the user's living cost and specific device information related to the user's living cost. The evaluation unit 103 evaluates the necessary level based on the living cost related information.

  According to this configuration, the behavior management apparatus 1 can evaluate the necessary level of behavior recommended by the recommended information using the living cost related information.

  Here, the measure information is information related to the power charge, and preferably includes at least one of a change in the power purchase price, a change in the power sale price, and a change in the power charge plan.

  According to this configuration, the behavior management apparatus 1 evaluates the required level of the recommended behavior in the recommended information using at least one of the change in the power purchase price, the change in the power sale price, and the change in the power rate plan. Can do.

  Here, it is preferable that the specific device information is at least one of performance change information indicating a change in the performance of the specific electric device and price change information indicating a change in the price of the specific electric device.

  According to this configuration, the behavior management apparatus 1 can evaluate the required level of behavior recommended by the recommended information using at least one of the performance change of the specific electrical device and the price change of the specific electrical device.

  Here, it is preferable that the performance change information is at least one of device efficiency information indicating a change in efficiency of a specific electrical device and power consumption information indicating a change in power consumption of the specific electrical device.

  According to this configuration, the behavior management apparatus 1 can evaluate the required level of behavior recommended by the recommended information using at least one of the device efficiency information and the power consumption information.

  Here, it is preferable that the recommended information is at least one of information related to the change of the power rate plan and information related to the purchase of the electrical equipment provided in the house 10.

  According to this configuration, the behavior management apparatus 1 can output at least one of the information related to the change of the power rate plan and the information related to the purchase of the electric device provided in the house 10 as the recommended information.

  Here, the recommended information is at least one of the information related to the change of the power rate plan and the information related to the purchase of the electric equipment provided in the house 10, and preferably includes the time of the change or purchase.

  According to this configuration, the behavior management apparatus 1 can output at least one of the information related to the change of the power rate plan and the information related to the purchase of the electrical equipment provided in the house 10 as the recommended information together with the time of change or purchase.

  In addition, the behavior management method of the present application includes a data acquisition processing unit, an estimation process, an information acquisition process, and an output process. The data acquisition process acquires in-house data acquired from the user's house 10 in relation to the user's living environment. The estimation process estimates a change event of the user's life pattern in the past or in the future based on the in-house data acquired by the data acquisition process. The information acquisition process is information corresponding to the change event estimated by the estimation process, and acquires recommended information that prompts the user to take an action according to a change in the life pattern. The output process outputs the recommended information acquired by the information acquisition process.

  According to this method, it is possible to manage changes in the user's life pattern. In addition, when a lifestyle pattern change event is estimated by this method, recommended information corresponding to the change event is output. Although the user may not be aware that a change in the life pattern has occurred in the daily life, this method manages the change in the user's life pattern and outputs recommended information. You can notice that there is a change in the pattern. Moreover, since recommended information is output by this method, it is possible to prompt the user to take an action according to a change in the life pattern. Therefore, the user can execute an action that should be executed according to a change in the life pattern, or an action that is preferably executed.

  The program of the present application is a program for causing a computer to function as the data acquisition unit 105, the estimation unit 101, the information acquisition unit 102, and the output unit 106. The data acquisition unit 105 acquires in-house data acquired from the user's house 10 in relation to the user's living environment. Based on the in-house data acquired by the data acquisition unit 105, the estimation unit 101 estimates a change event of a user's life pattern in the past or future. The information acquisition unit 102 is information corresponding to the change event estimated by the estimation unit 101, and acquires recommended information that prompts the user to take an action according to a change in life pattern. The output unit 106 outputs the recommended information acquired by the information acquisition unit 102.

  According to this configuration, a function equivalent to that of the behavior management apparatus 1 can be easily realized by causing a computer to execute a predetermined program. As a result, it is possible to manage changes in the user's life pattern. In addition, when a life pattern change event is estimated by causing a computer to execute a predetermined program, recommended information corresponding to the change event is output. Although the user may not be aware that a change in the life pattern has occurred in the daily life, the behavior management device 1 manages the change in the user's life pattern and outputs recommended information. You can be aware that changes are occurring in your life patterns. In addition, since the recommended information is output by this program, it is possible to prompt the user to take an action according to a change in the life pattern. Therefore, the user can execute an action that should be executed according to a change in the life pattern, or an action that is preferably executed.

DESCRIPTION OF SYMBOLS 1 Action management apparatus 3 Electric equipment 101 Estimation part 102 Information acquisition part 103 Evaluation part 105 Data acquisition part 106 Output part

Claims (6)

A data acquisition unit for acquiring in-house data acquired from the user's house in relation to the user's living environment;
Based on the in-house data acquired by the data acquisition unit, an estimation unit that estimates a change event of the user's life pattern in the past or in the future,
Information corresponding to the change event estimated by the estimation unit, an information acquisition unit for acquiring recommended information that prompts the user to perform an action according to a change in the life pattern;
An action management device comprising: an evaluation unit that evaluates a necessary level representing a degree of necessity for the user with respect to the action prompted by the recommendation information. The evaluation unit includes at least risk information representing a risk when the user does not execute the action prompted by the recommended information, and merit information representing a merit when the user performs the action prompted by the recommended information. The behavior management apparatus according to claim 1, wherein the behavior management apparatus is configured to evaluate the required level using one of the two. The evaluation unit is configured to evaluate the required level according to the amount so that the required level increases as the amount obtained by converting at least one of the risk information and the merit information into a monetary value increases. The behavior management device according to claim 2, wherein The data acquisition unit
Furthermore, the living cost related information including at least one of the measure information related to the user's living cost and the specific device information related to the user's living cost,
The evaluation unit is
The behavior management apparatus according to any one of claims 1 to 3, wherein the necessary level is evaluated based on the living cost related information. A data acquisition process for acquiring in-house data acquired from the user's house in relation to the user's living environment;
Based on the in-house data acquired in the data acquisition process, a guess process for estimating a change event of the user's life pattern in the past or in the future;
Information corresponding to the change event estimated in the estimation process, an information acquisition process for acquiring recommended information that prompts the user to perform an action according to the change in the life pattern;
And an evaluation process for evaluating a necessary level representing the degree of necessity for the user with respect to the action urged by the recommended information. Computer
A data acquisition unit for acquiring in-house data acquired from the user's house in relation to the user's living environment;
Based on the in-house data acquired by the data acquisition unit, an estimation unit that estimates a change event of the life pattern of the user in the past or in the future,
An information acquisition unit for acquiring recommended information that is information corresponding to the change event estimated by the estimation unit and that prompts the user to perform an action according to a change in the life pattern;
A program for causing an action promoted by the recommended information to function as an evaluation unit that evaluates a necessary level representing a degree of necessity for the user.

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