JP2014071654A - Power consumption-related support device considering user attribute, portable terminal, program, and method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a power consumption-related support device capable of providing a user with support information related to the power consumption of the user by the content suitable to the user attribute and in the form of conforming to the user situation.SOLUTION: A power consumption-related support device includes: life-related data accumulation means for accumulating life-related data generated from a life-related amount including a power consumption amount; user attribute estimation means for estimating a user attribute on the basis of the accumulated power consumption data of the user by using a user attribute table recording a pre-set user attribute correlated with an individual power consumption pattern; and support information determination means for determining support information for the user on the basis of the estimated user attribute of the user and the life-related data of the user accumulated in the life-related data accumulation means by using a support information table recording pre-set support information and a pre-set value, range of values, or condition of the life-related data by associating with each other for an individual user attribute.

Description

  The present invention relates to a technique for providing support information related to power consumption of a user, such as power saving advice.

  In recent years, coupled with global energy securing problems related to oil, natural gas, nuclear power, natural energy, etc., interest in energy conservation has been greatly increased even in the home.

  As a technology for supporting such energy saving, for example, in Patent Document 1, power saving advice is determined based on the power usage measured by the power measurement sensor and the environment-related information output from the environment sensor, A support system to be presented to a user is disclosed. Here, the power saving advice is determined based on the analysis result of the usage state of the electrical equipment derived from the power usage amount and the information on the environment.

  Further, Patent Literature 2 discloses a living behavior improvement support apparatus that observes living behavior in a home using a sensor or the like and provides a message for improving the living behavior to a behavior with less environmental load. . In this device, the environment for each living behavior is calculated from the amount of change in the behavior amount of each living behavior between the post-improvement behavior amount data measured when the assigned message is presented to the user and the pre-improvement behavior amount data. The load reduction amount is calculated, and the message assigned to the daily activity with the largest environmental load reduction amount is selected.

JP 2011-66956 A JP 2007-257298 A

  However, in the conventional techniques as disclosed in Patent Documents 1 and 2, it is difficult to present advice and messages having contents suitable for user attributes according to the user's situation. Here, the user attribute is a characteristic in the life of the user, for example, a characteristic on the household such as a single household, a couple only household, or an elderly person who has a preschooler, for example. It refers to the characteristics of family members (households) such as being.

  For example, in the technique disclosed in Patent Document 1, advice on the use of the target electrical equipment is created, so that it is possible to realize power saving of the target equipment. However, since user attributes and power usage in the entire household or family are not taken into consideration, it is difficult to present advice suitable for the user attributes in accordance with the situation of the entire household.

  Moreover, in the technique disclosed in Patent Document 2, the amount of environmental load of household equipment is collectively handled. Therefore, it is possible to present a message that promotes living activities effective for energy saving in accordance with the situation of the entire family. However, as in Patent Document 1, it is not assumed at all to select a message that matches a user's household / family situation in consideration of user attributes.

  Therefore, the present invention provides a power consumption related support device, a portable terminal, a program, and a method capable of providing support information related to a user's power consumption in a form suitable for the user's attribute and in accordance with the user's situation. The purpose is to provide.

According to the present invention, a power consumption related support device that provides support information about power consumption of a user,
Life-related data storage means for storing life-related data that is generated from a measurement value of at least one life-related amount that is a life-related amount related to a user's life behavior or living environment, including power consumption,
For each power consumption pattern, it has a user attribute table recorded in association with a preset user attribute, based on the power consumption data related to the user stored in the life related data storage means, using the user attribute table, User attribute estimation means for estimating a user attribute of the user;
For each user attribute, a value, a range of values, or a condition in at least one of preset support information and preset life-related data, and the condition is determined to correspond to this support information. Having a support information table in which values, ranges of values or conditions are recorded in association with each other, based on the estimated user attributes of the user and life related data relating to the user stored in the life related data storage means, There is provided a power consumption related support device having support information determination means for determining support information for a user using a support information table.

  According to the embodiment of the power consumption related support apparatus according to the present invention, the user attribute estimation means corresponds to a power consumption pattern having a similarity satisfying a predetermined condition for the power consumption data related to the user in the user attribute table. It is also preferable to estimate the attached user attribute as the user attribute of the user.

  Further, the user attribute estimation means includes a representative vector as a power consumption pattern including power consumption in each of a plurality of time zones included in the user attribute table, and accumulation in a time including the plurality of time zones. When the similarity with the power consumption data vector formed from the generated power consumption data satisfies a predetermined condition, it is also preferable to estimate the user attribute associated with the representative vector as the user attribute of the user.

According to another embodiment of the power consumption related support device according to the present invention, the support information determining means includes:
In the portion of the user attribute of the user estimated in the support information table, the life-related data related to the user or the support information selection condition generated from the life-related data is matched, or predetermined conditions for the life-related data related to the user It is also preferable that support information associated with a value, a range of values, or a condition in at least one of life-related data set in advance having a similarity satisfying the above condition is determined as support information for the user.

  Furthermore, in the power consumption related support apparatus according to the present invention, at least one life related data is derived from power consumption data generated from an output of a power meter related to a user, an output of a terminal sensor built in a portable terminal possessed by the user. It is also preferable to include at least one of generated mobile terminal data, home sensor data generated from the output of the home sensor related to the user, and weather data acquired from the weather information server.

Furthermore, according to the power consumption related support device of the present invention, the power consumption related support device further includes a communication interface that receives output information of a measuring instrument that measures at least one life related amount including power consumption,
It is also preferable that the life-related data storage means inputs the measurement value of the life-related amount via the communication interface and stores it as life-related data.

Furthermore, in the embodiment provided with this communication interface, this communication interface receives terminal sensor measurement value information output from a terminal sensor mounted on a mobile terminal possessed by the user,
It is also preferable that the life-related data storage means stores mobile terminal data including the current position or the place of stay of the mobile terminal, which is formed from the terminal sensor measurement value information input via the communication interface, as life-related data.

Furthermore, in the embodiment provided with this communication interface, it further comprises subscriber information storage means for storing subscriber information related to the mobile terminal possessed by the user,
The communication interface inputs the subscriber information related to the user from the subscriber information management server that stores the subscriber information related to the mobile terminal,
The subscriber information storage means stores the input subscriber information,
The support information determination means determines, for each user attribute, a value, a range of values, or a condition in at least one of preset support information and preset life-related data and corresponds to the support information A condition in at least one of subscriber data including a value, a range of values or a condition to be performed, and address and age of preset subscriber information, and corresponding to this support information It has a support information table in which the conditions to be judged are recorded in association with each other, the estimated user attributes of the users, the life related data related to the users stored in the life related data storage means, and the subscriber information It is also preferable to determine the support information for the user using the support information table based on the subscriber data related to the user stored in the storage means.

According to the present invention, the portable terminal further provides support information related to the user's power consumption,
A communication interface that receives output information of a measuring instrument that measures at least one life-related amount that is a life-related amount related to a user's living behavior or living environment and includes power consumption;
Life-related data storage means for storing life-related data generated from a measurement value of at least one life-related quantity including power consumption;
For each power consumption pattern, it has a user attribute table recorded in association with a preset user attribute, based on the power consumption data related to the user stored in the life related data storage means, using the user attribute table, User attribute estimation means for estimating a user attribute of the user;
A value, a range of values, or a condition in at least one of preset support information and preset life-related data for each user attribute, and a value that is determined to be applicable to the support information , Having a support information table in which value ranges or conditions are recorded in association with each other, based on the estimated user attributes of the user and the life related data related to the user stored in the life related data storage means A portable terminal having support information determination means for determining support information for a user using a table is provided.

The portable terminal according to the present invention further includes a terminal sensor that measures at least one of position, acceleration, direction, or traveling direction,
The life-related data storage means preferably stores mobile terminal data including the current position or the place of stay generated from the measurement value of the terminal sensor as life-related data.

According to the present invention, there is further provided a power consumption related support program for causing a computer mounted on a support apparatus that provides support information about power consumption of a user to function.
The support device stores life-related data that is a life-related amount related to a user's living behavior or living environment, and that stores life-related data generated from a measurement value of at least one life-related amount including power consumption. Has means,
For each power consumption pattern, the user attribute of the user is estimated based on the power consumption data relating to the user stored in the life-related data storage means, using a user attribute table in which preset user attributes are recorded in association with each other. User attribute estimation means;
For each user attribute, a value, a range of values, or a condition in at least one of preset support information and preset life-related data, and the condition is determined to correspond to this support information. A support information table in which values, value ranges or conditions are recorded in association with each other, based on the estimated user attributes of the user and the life-related data related to the user stored in the life-related data storage means A power consumption related support program is provided that causes a computer to function as support information determination means for determining support information for a user using an information table.

According to the present invention, there is further provided a power consumption related support method for providing support information about power consumption of a user,
A first step of accumulating life-related data generated from a measurement value of at least one life-related amount that is a life-related amount related to a user's life behavior or living environment, including power consumption;
For each power consumption pattern, the user attribute of the user is estimated based on the power consumption data relating to the user stored in the life-related data storage means, using a user attribute table in which preset user attributes are recorded in association with each other. A second step;
A value, a range of values, or a condition in at least one of preset support information and preset life-related data for each user attribute, and a value that is determined to be applicable to the support information , Having a support information table in which value ranges or conditions are recorded in association with each other, based on the estimated user attributes of the user and the life related data related to the user stored in the life related data storage means A power consumption related support method having a third step of determining support information for a user using a table is applied.

  According to the power consumption related support device, the portable terminal, the program, and the method of the present invention, it is possible to provide support information related to the user's power consumption in a form suitable for the user's situation with contents suitable for the user attribute. .

It is a functional block diagram of one Embodiment in the power consumption related assistance apparatus by this invention. It is a function block diagram of one Embodiment in the portable terminal by this invention. It is the schematic which shows one Embodiment of the user attribute table which concerns on this invention. It is the schematic which shows one Embodiment of the assistance information table which concerns on this invention. It is the schematic for demonstrating one Embodiment of the power consumption related assistance method by this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[Power consumption related support equipment]
FIG. 1 is a functional configuration diagram of an embodiment of a power consumption related support apparatus according to the present invention.

  The power consumption related support apparatus 1 shown in FIG. 1 estimates a user's “user attribute” from the power consumption data, and based on the estimated “user attribute”, from the user's life related data (and subscriber data). This is an apparatus that provides support information about power consumption of a user, for example, power saving advice.

Here, the user attribute is a feature in the life of the user, and in the embodiment shown below,
(A) the characteristics of the household to which the user belongs (for example, a single household, a married couple only, etc.);
(B) It includes the characteristics of family members to which the user belongs (for example, there are preschoolers, elderly people, etc.).

  The life-related data is data generated from the measurement value of the “life-related amount” related to the user's life behavior or living environment. “Life related amount” includes power consumption, and is further calculated from weather information (quantized amount) generated by a weather information server, and an output of a terminal sensor built in a mobile terminal possessed by the user. User's current location and place of stay (quantized quantity (for example, latitude / longitude)), measured value at home sensor installed at user's home, moving means (quantized quantity), or moving means possession information (Quantized).

  Furthermore, “life related data” includes power consumption data generated from the output of the power meter related to the user, mobile terminal data generated from the output of the terminal sensor built in the mobile terminal possessed by the user, and the home related to the user It includes in-house sensor data generated from sensor outputs or weather data acquired from a weather information server.

  Similarly, according to FIG. 1, the power consumption related support device 1 is installed in a carrier communication network (for example, a mobile phone network) 3, and includes a communication interface unit 100, a life related data storage unit 11, and subscriber data. The storage unit 120 and a processor memory are included. Here, the processor memory realizes its function by executing a program. The processor memory includes a user attribute estimation unit 13 and a support information determination unit 14 as function configuration units.

The communication interface unit 100
(A) A power consumption measurement value measured by a power meter installed at the user's home, such as a smart meter, a tap-type power meter, a clamp meter (overhead current meter), or the like is transmitted via the business operator communication network 3. Receive
(B) A terminal sensor measurement value including a terminal position measured by a terminal sensor mounted on the mobile terminal 2, for example, a GPS (Global Positioning System) positioning unit, an acceleration sensor, a geomagnetic sensor, a gyro sensor, etc. Received via the communication network 3,
(C) A home sensor measurement value measured by a home sensor installed at the user's home, such as a human sensor, a door sensor, a temperature sensor, an illuminance sensor, an atmospheric pressure sensor, a Web camera, etc. Receive
(D) receiving weather information in the past, present or future (forecast) such as weather, humidity, illuminance, rainfall, etc. from the weather information server 5 via the Internet 4 and the operator communication network 3;
(E) The subscriber information of the communication contract of the portable terminal 2 possessed by the user can be received from the subscriber management device 6 via the carrier communication network 3. The communication interface unit 100 outputs the received information to the life-related data storage unit 11 or the subscriber data storage unit 120.

The life-related data accumulation unit 11 accumulates life-related data generated from the measurement value of at least one life-related amount including power consumption. In the present embodiment, the life-related data storage unit 11 specifically
(A) a power consumption data storage unit 110 that stores power consumption data generated from the input power consumption measurement value as life-related data;
(B) a mobile terminal data storage unit 111 that stores mobile terminal data generated from input terminal sensor measurement values as life-related data;
(C) A home sensor storage unit 112 that stores home sensor data generated from the input home sensor measurement values as life-related data;
(D) a weather data storage unit 113 that stores weather data generated from the input weather information as life-related data. In addition, the subscriber data storage unit 120
(E) The entered subscriber information is stored as subscriber data.

  The user attribute estimation unit 13 estimates the user attribute of the target user using the user attribute table 130t based on the power consumption data related to the target user stored in the life-related data storage unit 11. At this time, in the user attribute table 130t, it is also preferable to estimate a user attribute associated with a power consumption pattern having a similarity satisfying a predetermined condition with respect to power consumption data related to the target user as a user attribute of the target user. . Here, the user attribute table 130t is a table in which user attributes preset for each power consumption pattern are recorded in association with each other.

  The user attribute estimation unit 13 includes a user attribute table storage unit 130 that stores a user attribute table 130t, a similarity calculation unit 131, and a user attribute selection unit 132.

  Among these, the similarity calculation unit 131 inputs a representative vector as a power consumption pattern having the power consumption in each of a plurality of time zones (for example, morning, noon and night) as an element from the user attribute table 130t. The similarity between the representative vector and the accumulated power consumption data in the time including the plurality of time zones, for example, the cosine similarity is calculated.

  When the similarity calculated by the similarity calculation unit 131 satisfies a predetermined condition, the user attribute selection unit 132 estimates the user attribute associated with the representative vector as the user attribute of the target user. Here, the predetermined condition to be satisfied by the similarity is, for example, that the similarity is equal to or higher than a predetermined threshold, or the most similar among the similarities calculated for each of all the user attributes preset in the user attribute table 130t. It can be said that it is expensive. The user attribute selection unit 132 outputs the user attribute of the target user estimated in this way to the support information determination unit 14.

  The support information determination unit 14 uses the support information table 140t to support the target user based on the estimated user attribute of the target user and the life related data related to the target user stored in the life related data storage unit 11. Determine information, for example, power saving advice. Here, the support information table 140t is a value, a range of values, or a condition in at least one of preset support information and preset life-related data, and is determined to correspond to this support information. It is the table which recorded the value used as a condition, the value range, or the condition in association with each other.

  At this time, in the portion of the estimated user attribute of the target user in the support information table 140t, the life related data related to the target user or the support information selection condition generated from this life related data, or the life related to the target user It is also preferable to determine the support information associated with the value, the range of values, or the condition of the life related data set in advance having a similarity satisfying a predetermined condition for the related data as the support information for the target user.

  Specifically, the support information determination unit 14 includes a support information table storage unit 140 that stores a support information table 140t, a selection condition extraction unit 141, and a support information selection unit 142.

  Among these, the selection condition extraction unit 141 includes a time-period consumption calculation unit 141a, a stay location determination unit 141b, a home-stay person determination unit 141c, a movement state determination unit 141d, a home-state determination unit 141e, And a situation determination unit 141f.

  The hourly consumption calculation unit 141a calculates the hourly power consumption from the power consumption data, and determines a representative vector having the power consumption in each time zone as an element.

  The stay location determination unit 141b is position information related to the target user in the mobile terminal data, and is derived based on the GPS positioning method or the multiple base station positioning method, or based on the position information of the wireless LAN access point Retrieve information. Next, by clustering the position information using, for example, the k-means method, the user's place of stay is specified using map information held in advance. Here, the place of stay refers to a place where the user is frequently located in daily life. Specifically, referring to the map information that holds the place of stay (highly located location) as a cluster generated by clustering, shopping locations such as homes, offices, schools, supermarkets, stations, etc. And determined as support information selection conditions, which are conditions for selecting support information later. Furthermore, it is also preferable to specify the time zone in which the stay is the most frequent at the same time.

  The resident determination unit 141c determines whether or not the user is in the vicinity of the home based on the position information regarding the target user in the mobile terminal data, and uses the information on whether or not the user is in the vicinity of the home as a support information selection condition. decide.

  The movement state determination unit 141d determines the moving means used by the user at the present time or in a certain time zone based on the acceleration data related to the target user or the speed data calculated based on the GPS positioning result among the mobile terminal data. . Specifically, when a speed or acceleration value equivalent to walking, bicycle equivalent, or automobile equivalent is detected in a certain time zone, walking, bicycle, or automobile is used as the moving means in the time zone, respectively. Information is determined as support information selection conditions.

  The at-home situation determination unit 141e determines whether the target user is at home at the present time or in a certain time zone based on event output data such as a human sensor or a door sensor among in-home sensor data, and uses the determination result as support information. Determine the selection conditions. Alternatively, it is possible to determine whether the target user is at home based on the GPS positioning result of the mobile terminal data and the latitude / longitude of the home, and to determine the determination result as the support information selection condition. . In addition, the occupancy status determination unit 141f determines whether the target user is in this room at the present time or in a certain time zone based on the event output data of the human sensor installed in the specific room among the in-house sensor data. The determination result is determined as the support information selection condition.

  Furthermore, it is preferable that the selection condition extraction unit 141 determines the power consumption data or the representative vector calculated from the power consumption data as the support information selection condition, and further determines the weather data as the support information selection condition.

  The support information selection unit 142 uses the support information table 140t and the target user based on the user attribute of the target user input from the user attribute estimation unit 13 and the support information selection condition determined by the selection condition extraction unit 141. Select support information (power saving advice, etc.) suitable for Specifically, in the estimated user attribute portion of the target user in the support information table 140t, it matches the life-related data related to the target user or the support information selection condition generated from this life-related data, or the target user Support information associated with a value, a range of values, or a preset value of life-related data having a similarity that satisfies a predetermined condition with respect to such life-related data is selected as support information for the target user.

  Furthermore, as a change mode, the support information determination unit 14 includes the estimated user attributes of the target user and the life-related data related to the target user stored in the life-related data storage unit 11 or the support generated from the life-related data. It is also preferable to determine the support information for the target user using the support information table 140t based on the information selection condition and the subscriber data related to the target user stored in the subscriber information storage unit 120.

  Note that the support information table 140t in this case is set in advance for each user attribute, with preset support information and a value, a range of values, or a condition in at least one of preset life-related data. This is a table in which the conditions in at least one of the subscriber data including the address and the age in the subscriber information and the conditions that are determined to correspond to the support information are recorded in association with each other.

  The support information determination unit 14 transmits the support information determined as described above to, for example, the mobile terminal 2 owned by the user or a predetermined receiving device installed at home via the communication interface unit 100. The transmitted support information is also preferably displayed on a screen of an e-mail, push delivery, application, website, or the like.

[Mobile device]
FIG. 2 is a functional configuration diagram of an embodiment of a portable terminal according to the present invention.

  The mobile terminal 7 shown in FIG. 2 estimates the “user attribute” of the user from the power consumption data, as in the power consumption related support apparatus 1 (FIG. 1), and based on the estimated “user attribute”, It is a device that provides support information about user power consumption, such as power saving advice, from life-related data (and subscriber data).

  Here, an information management device 8 is installed in the carrier communication network 3. The information management device 8 receives (a) measured power consumption values and (b) in-home sensor measured values from the user's home via the operator communication network 3, and (c) meteorological information from the weather information server 5 Information is received via the Internet 4 and the carrier communication network 3, and (d) subscriber information from the subscriber management device 6 is received via the carrier communication network 3. Further, the received information is transmitted to the mobile terminal 7 of the target user.

  The mobile terminal 7 includes a communication interface unit 700, a life-related data storage unit 71 (a power consumption data storage unit 710, a mobile terminal data storage unit 711, a home sensor data storage unit 712, and a weather data storage unit 713), and subscriber data. The storage unit 720 includes a processor memory. This processor memory includes a user attribute estimation unit 73 having a user attribute table 730t and a support information determination unit 74 having a support information table 740t as functional components. All of these components activate the same function as the power consumption related support apparatus 1.

  Hereinafter, the functional configuration of the mobile terminal 7 will be described focusing on the functional configuration portion different from the power consumption related support device 1 (FIG. 1).

  The portable terminal 7 further includes a positioning unit 702 that is a terminal sensor, an acceleration sensor 703, a geomagnetic sensor 704, a gyro sensor 705, a display unit 706, and a position / movement trajectory calculation unit 750 as a functional component. ing. The terminal sensor does not necessarily include all the positioning / sensor units described above. For example, only the positioning unit 702 or the acceleration sensor 703 or only the positioning unit 702 and the acceleration sensor 703 may be provided.

  The positioning unit 702 analyzes the positioning radio wave received from the GPS satellite and measures the current position of the mobile terminal 7. The position information as the terminal sensor measurement value obtained by this positioning is, for example, a set of latitude, longitude, and altitude.

  The acceleration sensor 703 is an acceleration measuring unit serving as a terminal sensor, and is a triaxial type acceleration measuring instrument formed by using, for example, a MEMS (Micro Electro Mechanical Systems) technique, for example, by a capacitance method or a piezoresistive method. can do. The geomagnetic sensor 704 is a three-axis type geomagnetic measurement that measures geomagnetism using, for example, a magnetoresistance (AMR, GMR or TMR) effect, a magnetic impedance (MI) effect, a fluxgate (FG) method, or a Hall effect. It can be a total. Here, the geomagnetic sensor 703 and the acceleration sensor 704 can be combined to form an orientation measuring unit that measures the orientation of the mobile terminal 7.

  The gyro sensor 705 is an angular velocity sensor as a terminal sensor, and is a direction change measurement unit that detects and measures a change (change) in the direction of the mobile terminal 7. For example, it can be a vibration gyro sensor that detects angular velocity from deformation of a structure due to Coriolis force acting on a vibrating arm.

  The display unit 706 is a display, for example, and displays the support information output from the support information determination unit 74 as, for example, a screen in a power saving advice providing application or the like.

  The position / movement trajectory calculation unit 750 inputs the terminal sensor measurement value from the positioning unit 702 or from the speed sensor 703, the geomagnetic sensor 704, or the gyro sensor 705, and the position information of the mobile terminal 7 (the user who owns it), Alternatively, a movement locus composed of a time series of movement amount (speed) and movement direction (direction) is calculated. Here, the movement amount can be calculated from the number of steps using the acceleration sensor 703. It is also possible to calculate the moving direction at each time point by using a combination of the acceleration sensor 703 and the geomagnetic sensor 704 as the direction sensor. Furthermore, it is possible to calculate the amount of change in the direction of movement using a gyro sensor. Further, the position / movement trajectory calculation unit 750 preferably holds map information in advance, and specifies the current location or a location at a predetermined time (time zone) from the calculated position information and / or movement trajectory.

[User attribute table]
FIG. 3 is a schematic diagram showing an embodiment of a user attribute table according to the present invention.

  In this embodiment, the user attribute tables 130t (FIG. 1) and 730t (FIG. 2) are composed of a household attribute table 130ta (FIG. 3A) and a family attribute table 130tb (FIG. 3B).

  In the household attribute table 130ta shown in FIG. 3A, a preset household attribute (user attribute) is recorded in association with each representative vector of power consumption. Here, the representative vector of the power consumption is a vector amount having the power consumption in each of the plurality of time zones as an element, and corresponds to a power consumption pattern related to the usage time zone. The household attribute refers to the characteristics of the household to which the user belongs (for example, a single household, a married couple only, etc.).

In the household attribute table 130ta, for example, the power consumption in each of the morning time zone (0:00 to 12:00), the day time zone (12:00 to 18:00), and the night time zone (18:00 to 24:00)
(0.2 kWh, 0.8 kWh, 0.5 kWh)
If so, a representative vector whose elements are these power consumptions is defined. The household attribute table 130ta is a set of records in which this representative vector is recorded in association with household attributes, for example, “household only for couples”. In other words, a household having a power consumption pattern (a similar pattern) represented by such a representative vector is likely to have a predetermined household attribute (such as “household only for couples”) and It has become.

  On the other hand, in the family attribute table 130tb shown in FIG. 3B, a preset family attribute (user attribute) is recorded in association with each representative vector of power consumption. Here, the family attribute refers to the characteristics of family members to which the user belongs (for example, there are preschool children, elderly people, etc.).

In the family attribute table 130tb, the power consumption in each of the three time periods having three consecutive constant times, for example, the three time periods from 8:00 to 9:00, from 9:00 to 10:00, and from 10:00 to 11:00 on weekdays. ,
(0.05 kWh, 0.03 kWh, 0.1 kWh)
If so, a representative vector whose elements are these power consumptions is defined. The family attribute table 130tb is a set of recorded family attributes, for example, “I have a preschooler”, in association with this representative vector. That is, it is stipulated that a household showing a power consumption pattern (similar pattern) represented by such a representative vector is likely to have a predetermined family attribute (such as “has a preschooler”). It is a set.

  The set value of the power consumption pattern for each user attribute in the household attribute table 130ta and the family attribute table 130tb is collected, for example, by actually measuring and collecting power consumption pattern data in each household having various different user attributes. It can be determined by obtaining the average value or the most frequent value of the power consumption in the predetermined time zone by the processing.

  Further, the user attributes are not limited to the items adopted in the present embodiment. It is also possible to estimate other items as user attributes, for example, household income of the target user. In this case, for example, the household income amount (range) is included in the user attribute column of the user attribute table 130t and the estimated user attribute column of the corresponding support information table 140t.

  By using the user attribute table 130t as described above, for example, the user attribute of the target user can be estimated without taking the trouble of collecting attribute information individually from a huge number of users. . This improves the accuracy with which it is possible to select appropriate support information that is not off-target, in accordance with the user's attributes, rather than simply selecting advice according to the power consumption or environmental load of the electrical equipment.

[Support information table]
FIG. 4 is a schematic diagram showing an embodiment of the support information table according to the present invention.

  In the support information table 140t shown in FIG. 4, for each estimated user attribute, a value and a range of values in at least one of preset support information (power saving advice) and preset life-related data Alternatively, a value, a value range, or a condition that is a condition that is determined to be applicable to the support information is recorded in association with each other.

Here, in the support information table 140t, as life related data set in advance,
(A) power consumption pattern, (b) power consumption ratio, (c) weather, (d) season / day of the week / time, (e) behavior pattern, (f) at-home situation, (g) daily transportation means, and (H) Car / license information is adopted.

this house,
(A) The power consumption pattern is a value obtained by sequentially updating the latest power consumption of hourly power consumption as the current usage, or the morning, noon and night time periods of the previous day as the previous day usage. Is a representative vector whose element is power consumption in
(B) The power consumption ratio is the ratio of the latest power consumption in the hourly power consumption to the allowable power consumption.
(C) The weather is information such as sunny, cloudy, cloudy / rainy, rain, etc., and also forecast information such as “rain forecast in the evening”. Also,

(D) The season / day of the week / time zone is information on the season (spring, summer, autumn, winter), day of the week (month, fire,..., Sun) and time zone (eg morning, noon, night). ,
(E) Information that, for example, the behavior pattern often moves (for example, weekdays, Saturdays, Sundays), with whom (for example, the whole family, alone) and where (for example, supermarkets, parks, distant places) Is the rule information that is set to “what time”, “with whom”, and “where”
(F) The status of staying at home is information (a numerical value) indicating whether you are at home or going out.
(G) Daily moving means is information (quantified) of moving means (walking, bicycle, car, bus, etc.) that are most frequently used (executed) every day.
(H) Automobile / license information is information about whether or not you have an automobile license, or whether you have an automobile (a numerical value).

  Furthermore, it is appropriate that the support information is provided to the target user according to the estimated user attribute and the value of life-related data as described above, the range of the value, or the condition. Comments and advice on power consumption. For example, power saving advice for power saving may be used.

  Although not illustrated as a change mode, the support information table 140t is set in accordance with preset support information and a preset value of life-related data, a range of values, or a condition for each estimated user attribute. A condition in at least one of the subscriber data including the address and the age among the preset subscriber information, which is a condition determined to correspond to the support information, It may be recorded. For example, in the support information table 140t, the age column of the subscriber (user) may be provided in parallel with the other life-related amount column.

  For example, the support information for each set value (range) of the user attribute and the life-related amount in the support information table 140t is obtained by actually measuring all the data related to the life-related amount in each household having various different user attributes. Collecting and taking into account the user attributes and the obtained data group together, it is possible to derive an improvement action that contributes to further power saving, and decide as an advice recommending the improvement action.

For example, on the day of the week, as a condition for selecting advice such as "rain forecast from the evening. Let's finish shopping early."
(A) The daily means of transportation is “walking”,
(B) As a behavior pattern, the frequency of going out “on weekday evening” or “to supermarket” is high,
(C) The weather on the day is “Evening (forecast)” or “Rain”
(D) The current home situation is “at home”.

  By using the support information table 140t as described above, support information can be provided in a form suitable for the user's situation with content suitable for the user attribute. In particular, it is possible to select support information that also focuses on the user's out-of-home behavior (habits) using mobile terminal data. For example, the content of power saving advice is made more specific and appropriate. And it can be a variety that covers a wider area.

[Power consumption related support method]
FIG. 5 is a schematic diagram for explaining an embodiment of a power consumption related support method according to the present invention.

[User attribute estimation]
According to FIG. 5, first, “power consumption data” for a predetermined day (for example, the previous day) related to the target user stored in the power consumption data storage unit 110 is extracted. Next, from the "electric power consumption data" for this predetermined day, the morning time zone (from 0:00 to 12:00), the daytime zone (from 12:00 to 18:00), and the night time zone (from 18:00 to 24:00) A power consumption data vector having each power consumption amount as an element is generated.

Next, the generated power consumption data vector V _d and the representative vector V _qn (n = 1, 2,..., N _tot (listed in the table) of the power consumption included in the household attribute (user attribute) table 130ta. The cosine similarity with each of the representative vectors)) is calculated. The cosine similarity cos (V _d , V _qn ) is _{obtained by regarding} the elements of V _d and V _qn as V _di and V _qni , respectively.
(1) cos (V _d , V _qn )
= Σ _i (V _di · V _qni ) / ((Σ _i (V _di ) ² ) ^0.5 ) · (Σ _i (V _qni ) ² ) ^0.5 )
Is calculated by Here, Σ _i is a summation about the element i.

For example, in the household attribute table 130ta, as a representative vector V _qn of power consumption → household attribute,
(A) (0.2 kWh in the morning, 0.08 kWh in the day, 0.5 kWh at night) → “Household only for couples” and (b) (0.6 kWh in the morning, 0.01 kWh in the day, 0.8 kWh at night) → “4 people Household "
Are recorded, and the power consumption data vector V _d is calculated as (0.25 kWh in the morning, 0.05 kWh in the day, 0.6 kWh in the night), the cosine similarity is
(A) about 0.9974, (b) about 0.9671
Thus, under this power consumption data vector V _d , it can be seen that (a) “couple's household” has a higher similarity.

After calculating the cosine similarity between the power consumption data vector V _d and each of the representative vectors V _qn in this way, the cosine satisfying a predetermined condition is satisfied for the power consumption data related to the target user in the household attribute table 130ta. The household attribute associated with the representative vector V _qn having the similarity is estimated as the user attribute of the target user.

Here, as the predetermined condition, for example, the cosine similarity is not less than a predetermined threshold C _th (for example, 0.7), or the highest cosine similarity among the representative vectors V _qn listed in the household attribute table 130ta. Etc. can be adopted.

Next, the family attribute is estimated by using the family attribute (user attribute) table 130tb in the same manner as described above. First, the power consumption of the time zone corresponding to the element of the representative vector of the power consumption regarding each family attribute defined in the table 130tb is calculated from the extracted “power consumption data” for a predetermined day. Then, a power consumption data vector V _d ′ having each of the power consumptions for each time period as an element is generated.

Next, the generated power consumption data vector V _d ′ and the representative vector V _qm ′ of power consumption included in the household attribute (user attribute) table 130 ta (m = 1, 2,..., M _tot (in the table The cosine similarity with each of the listed representative vectors)) is calculated.

In this way, after calculating the cosine similarity between each of the power consumption data vector V _d ′ and the representative vector V _qm ′, a predetermined condition is set for the power consumption data related to the target user in the family attribute table 130tb. The family attribute associated with the representative vector V _qm ′ having the cosine similarity to be satisfied is estimated as the user attribute of the target user.

[Support information decision]
Next, support information (power saving advice) suitable for the target user is determined using the estimated user attributes (household attributes, family attributes). First, “life related data” related to the target user stored in the life related data storage unit 11 is extracted. Next, “support information selection conditions” are generated from these “life related data”.

  Next, a portion (row) corresponding to the estimated user attribute of the target user is specified in the support information table 140t. Next, in the portion of the estimated user attribute in the support information table 140t, “life related data” related to the target user or “support information selection conditions” generated from this “life related data” and the support information table 140t in advance. A value, a range of values, or a condition in at least one of the set life-related data is compared.

  Here, it is also preferable to implement rule-based matching as this comparison method. Specifically, for example, “Saturday night (predetermined time zone) by clustering using the k-means method, for example, from the position and time zone information in the most recent month of the mobile terminal data as“ life related data ”. ), The “frequency of going out to a restaurant (predetermined place of stay) is greater than or equal to a predetermined frequency (for example, three or more days on Saturday of one month)” is generated.

  On the other hand, the portion corresponding to the estimated user attribute in the support information table 140t includes, for example, power saving advice (support information) such as “Power supply and demand is tight. How about going out to eat?” If it is “Saturday night”, the rules “with family” and “restaurant” are set in association with each other.

  In this case, the “support information selection condition” that “the frequency of going out to a restaurant (stay place) on Saturday night (time zone) is more than a predetermined value” and a plurality of preset rules in the support information table 140t are matched. As a result, if the “support information selection condition” is “Saturday night”, it is determined that the rules of “with family” and “restaurant” match. Next, the power saving advice associated with the matched rule is selected as support information.

  Such a comparison is similarly performed for other “life-related data” or “support information selection conditions” extracted from the life-related data storage unit 11. For example, in addition to the above-mentioned condition that “the frequency of going out to a restaurant (stay place) on Saturday night (time zone) is more than a predetermined value”, the weather data includes a condition of “sunny”, “Supporting information selection condition” that “sunny” and “the frequency of going out to a restaurant (stay place) on Saturday night (time zone) is more than a predetermined value” and the life-related data conditions set in the supporting information table 140t Each of the rules is compared to determine whether they match.

  In addition, a power consumption data vector having power consumption in each time zone calculated from power consumption data as “life-related data” as an element, and a representative vector as a preset power consumption pattern in the support information table 140t Are compared with each other, it is also preferable to obtain the cosine similarity used when estimating the above-described user attribute and determine that the two match if the similarity is equal to or higher than a predetermined level.

  Further, the power consumption ratio (for example, 88%) calculated from the power consumption data as “life-related data” and the range of the power consumption ratio value set in advance in the support information table 140t (for example, 85% or more). In the case of comparison, when the calculated used power ratio is included in the range of the used power ratio value in the support information table 140t, it is also preferable to determine that both match.

  Furthermore, although not shown, it is also preferable to perform matching between the “support information selection condition” generated from the subscriber data of the target user extracted from the subscriber data storage unit 120 and the support information table 140t. For example, based on the address information of the target user in the subscriber data and the location information in the mobile terminal data, whether the user is at home (address in the subscriber data), that is, whether the user is at home A determination result can be obtained. This determination result can also be used as a “support information selection condition”.

  As described above in detail, according to the power consumption related support device, the portable terminal, the program, and the method of the present invention, the user attribute of the user is estimated from the power consumption data, and the user is based on the estimated user attribute. From the life-related data (and subscriber data), support information about the user's power consumption, for example, power saving advice, is determined. As a result, support information related to the user's power consumption can be provided in a form suitable for the user's situation with content suitable for the user attribute.

  Furthermore, since it is possible to select support information that also pays attention to the user's out-of-home behavior (habits) using mobile terminal data, for example, the content of power saving advice is made more specific and appropriate. And it can be a variety that covers a wider area. Furthermore, since the patterns of power saving advice that can be provided in this way can be increased, a variety of power saving actions that can be performed by the user can be promoted, and as a result, more advanced energy saving can be realized. Is also possible.

  Various changes, modifications, and omissions of the above-described various embodiments of the present invention can be easily made by those skilled in the art. The above description is merely an example, and is not intended to be restrictive. The invention is limited only as defined in the following claims and the equivalents thereto.

DESCRIPTION OF SYMBOLS 1 Power consumption related support apparatus 100,700 Communication interface part 11,71 Life related data storage part 110,710 Power consumption data storage part 111,711 Portable terminal data storage part 112,712 Home sensor data storage part 113,713 Weather data storage Unit 120, 720 Subscriber data storage unit 13, 73 User attribute estimation unit 130 User attribute table storage unit 130t, 730t User attribute table 130ta Household attribute table 130tb Family attribute table 131 Similarity calculation unit 132 User attribute selection unit 14, 74 Support Information determination unit 140 Support information table storage unit 140t, 740t Support information table 141 Selection condition extraction unit 141a Time zone consumption calculation unit 141b Stay location determination unit 141c At-home person determination unit 141d Moving state determination unit 14 1e At-home state determination unit 141f At-home state determination unit 2, 7 Mobile terminal 3 Carrier communication network 4 Internet 5 Weather information server 6 Subscriber management device 702 Positioning unit 703 Acceleration sensor 704 Geomagnetic sensor 705 Gyro sensor 706 Display unit

Claims (12)

A power consumption related support device that provides support information about a user's power consumption,
Life-related data storage means for storing life-related data that is generated from a measurement value of at least one life-related amount that is a life-related amount related to a user's life behavior or living environment, including power consumption,
For each power consumption pattern, there is a user attribute table in which preset user attributes are recorded in association with each other, and the user attribute table is based on the power consumption data relating to the user stored in the life related data storage means. Using user attribute estimation means for estimating the user attribute of the user,
A condition, a value range, or a condition in at least one of the preset support information and the preset life-related data for each user attribute, and determined to correspond to the support information A life information related to the user stored in the life related data storage means and the estimated user attribute of the user And a support information determining means for determining support information for the user using the support information table.   The user attribute estimation means estimates a user attribute associated with a power consumption pattern having a degree of similarity satisfying a predetermined condition for the power consumption data related to the user in the user attribute table as the user attribute of the user. The power consumption related support apparatus according to claim 1, wherein:   The user attribute estimation means includes a representative vector as a power consumption pattern that includes power consumption in each of a plurality of time zones included in the user attribute table, and a time period including the plurality of time zones. The user attribute associated with the representative vector is estimated as the user attribute of the user when the similarity with the power consumption data vector formed from the power consumption data satisfies a predetermined condition. The power consumption related support apparatus according to 1 or 2.   The support information determining means matches the life-related data related to the user or the support information selection condition generated from the life-related data in the estimated user attribute portion of the user in the support information table, or Support information associated with a value, a range of values, or a condition in at least one of the life-related data set in advance having a similarity that satisfies a predetermined condition with respect to the life-related data related to the user, The power consumption related support apparatus according to any one of claims 1 to 3, wherein the support information for the user is determined.   The at least one life-related data includes power consumption data generated from an output of a power meter related to the user, mobile terminal data generated from an output of a terminal sensor built in the mobile terminal possessed by the user, the user 5. The apparatus according to claim 1, comprising at least one of in-house sensor data generated from an output of the in-home sensor according to claim 1 and weather data acquired from a weather information server. Power consumption related support device. A communication interface for receiving output information of a measuring instrument that measures at least one life-related quantity including the power consumption;
6. The power according to claim 1, wherein the life-related data storage unit inputs a measurement value of the life-related amount via the communication interface and stores the value as life-related data. Consumption related support device. The communication interface receives terminal sensor measurement value information output from a terminal sensor mounted on a mobile terminal possessed by the user,
The life-related data storage means stores mobile terminal data including the current position or stay location of the mobile terminal, which is formed from the terminal sensor measurement value information input via the communication interface, as life-related data. The power consumption related support apparatus according to claim 6. It further has subscriber information storage means for storing subscriber information related to the mobile terminal possessed by the user,
The communication interface inputs subscriber information related to the user from a subscriber information management server that stores subscriber information related to the mobile terminal,
The subscriber information storage means stores the input subscriber information,
The support information determination means is a value, a range of values or a condition in at least one of preset support information and preset life-related data for each user attribute, and the support information A condition in at least one of a value, a range of values or a condition to be determined to fall under the above, and subscriber data including an address and age in the preset subscriber information, It has a support information table in which conditions that are determined to be applicable to support information are recorded in association with each other, and relates to the estimated user attributes of the user and the user stored in the life-related data storage unit Based on the life-related data and the subscriber data relating to the user stored in the subscriber information storage means, the support information table is used to support the user. Power consumption associated support device according to claim 6 or 7, wherein the determining information. A mobile terminal that provides support information related to user power consumption,
A communication interface that receives output information of a measuring instrument that measures at least one life-related amount that is a life-related amount related to a user's living behavior or living environment and includes power consumption;
Life-related data storage means for storing life-related data generated from measurement values of at least one life-related amount including the power consumption;
For each power consumption pattern, there is a user attribute table in which preset user attributes are recorded in association with each other, and the user attribute table is based on the power consumption data relating to the user stored in the life related data storage means. Using user attribute estimation means for estimating the user attribute of the user,
A condition, a value range, or a condition in at least one of the preset support information and the preset life-related data for each user attribute, and determined to correspond to the support information A life information related to the user stored in the life related data storage means and the estimated user attribute of the user And a support information determining means for determining support information for the user using the support information table. A terminal sensor that measures at least one of position, acceleration, direction, or traveling direction;
The mobile terminal according to claim 9, wherein the life-related data storage unit stores mobile terminal data including a current position or a place of stay generated from a measurement value of the terminal sensor as life-related data. A power consumption related support program for causing a computer mounted on a support device that provides support information about power consumption of a user to function.
The support device is a life-related data storage that stores life-related data generated from a measurement value of at least one life-related quantity including a power consumption, which is a life-related quantity related to a user's living behavior or living environment. Has means,
Based on the power consumption data relating to the user stored in the life-related data storage means, using the user attribute table in which a preset user attribute is recorded in association with each power consumption pattern, the user attribute of the user User attribute estimation means for estimating
A condition, a value range, or a condition in at least one of the preset support information and the preset life-related data for each user attribute, and determined to correspond to the support information A life information related to the user stored in the life related data storage means and the estimated user attribute of the user Based on the above, the computer is caused to function as support information determining means for determining support information for the user using the support information table. A power consumption related support method for providing support information about power consumption of a user,
A first step of accumulating life-related data generated from a measurement value of at least one life-related amount that is a life-related amount related to a user's life behavior or living environment, including power consumption;
Based on the power consumption data relating to the user stored in the life-related data storage means, using the user attribute table in which a preset user attribute is recorded in association with each power consumption pattern, the user attribute of the user A second step of estimating
A condition, a value range, or a condition in at least one of the preset support information and the preset life-related data for each user attribute, and determined to correspond to the support information A life information related to the user stored in the life related data storage means and the estimated user attribute of the user And a third step of determining support information for the user by using the support information table.

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