JP2012185608A - Energy saving advice system, energy saving advice method, and energy saving advice program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To present an advice inducing users to continuously perform energy saving measures for a long period of time.SOLUTION: When selecting an advice to be presented to a user from a plurality of advices related to the energy saving, an energy saving advice system corrects evaluations of the respective advices based on user information according to the number of times of having presented the advice so far, selects a highly evaluated advice after the correction, presents the selected advice, and updates the number of times.

Description

  The present invention relates to a technique for selecting advice relating to an energy saving policy, and particularly to a technique for selecting effective advice for each user.

  In recent years, various methods for reducing energy consumption in a house have been considered.

  As a method for energy saving in a house, first, the performance of the house itself and the efficiency of energy consuming equipment can be improved. For example, the heat insulation of a house is improved using a pair glass or a heat insulating sheet.

  Another way to save energy in houses is to save energy by household members. For example, the set temperature of cooling is raised.

  In the energy-saving method based on the behavior of household members, the energy-saving behavior of household members can reduce energy consumption and save energy costs. There may also be disadvantages such as application. Therefore, if the benefits received by household members are significantly impaired by energy-saving behavior, even if the energy-saving effect is great, that behavior may not be established.

  Therefore, when adopting various energy-saving measures (actions) in the home, a model has been proposed that ranks the measures in consideration of not only the energy-saving effect but also the effects and preferences of household members on energy-saving behavior. (See Non-Patent Document 1, etc.). In this model, the values of household members, that is, the importance of items such as the amount of energy saving and ease of use, and the impact of each energy saving policy on each item are relatively evaluated, and the optimum energy saving policy for each person. Is presented. By using this model, it is possible to present an optimum energy saving policy for each person in consideration of each person's values.

"Energy saving policy selection model considering residents' preferences-Model development and its characteristics-" Research report: R06006, Central Research Institute of Electric Power, May 2007

  However, according to this model, as long as each person's values do not change, the optimum energy saving policy for each person does not change.

  That is, it is desirable that the energy saving policy is continuously executed over a long period of time, but if the same energy saving policy is always presented, the user may get bored and may not execute the policy. Even if executed, only the same policy is executed. Furthermore, if the disadvantage of the measure is unexpectedly large for the user, the energy saving measure may not be performed.

  Therefore, an object of the present invention is to provide advice that encourages a user to continuously execute an energy saving policy over a long period of time.

  In one aspect of the present invention, an advice storage unit that stores a plurality of advices related to energy saving, a user information storage unit that stores user information related to a user, and the number of times the advice is presented are associated with each advice. Stored in the presentation history storage means and a selection means for selecting an advice from the plurality of advices, the evaluation of each advice obtained in advance based on the user information is stored in the presentation history storage means. Corresponding to the advice presented by the presenting means, presenting means for presenting the advice selected by the selecting means to the user, And updating means for updating the number of times stored in the presentation history storage means.

  And the energy-saving advice method which concerns on the other one aspect | mode of this invention showed the advice memory | storage means which memorize | stored the some advice regarding energy saving, the user information storage means which memorize | stored the user information regarding a user, and the advice It is an energy saving advice method used in an energy saving advice system having a presentation history storage means for storing the number of times in association with each advice, and is a selection step for selecting an advice from the plurality of advices, the user information Is selected in the selection step, the selection step of selecting the advice having a high evaluation after correction, and the evaluation of each advice obtained in advance according to the number of times stored in the presentation history storage means Presenting step for presenting the advised advice to the user, Characterized in that it comprises an update step of updating the count stored in the presentation history storage means in association with devices.

  An energy saving advice program according to another aspect of the present invention is an energy saving advice program to be executed by a computer, and stores advice storage means storing a plurality of advices related to energy saving and user information related to a user. User information storage means, presentation history storage means for storing the number of times the advice has been presented in association with each advice, and selection means for selecting advice from the plurality of advices. A selection means for correcting the evaluation of each advice obtained in advance based on the number of times stored in the presentation history storage means, and selecting an advice with a high evaluation after the correction, and selected by the selection means Presenting means for presenting advice to the user, and correspondence with the advice presented by the presenting means And characterized by causing a computer to function as update means for updating the count stored in the presentation history storage means Te.

  According to the energy saving advice system, the energy saving advice method, and the energy saving advice program configured as described above, although the advice is suitable for the user, the possibility that the same advice is continuously presented is reduced. It is possible to continue to implement energy conservation measures.

  Further, in the above-described energy saving advice system, an execution history storage unit that stores the number of times the advice has been executed in association with each advice, and an execution result acquisition unit that acquires from the user that the presented advice has been executed. The update means updates the number of times stored in the execution history storage means in association with the executed advice acquired by the execution result acquisition means, and the selection means evaluates each advice, It is preferable to correct according to the number of times stored in the execution history storage means.

  According to this configuration, since the possibility that the advice executed by the user is presented is reduced, the user can continue the energy saving policy without getting bored.

  The energy saving advice system further includes a consumption record storage unit that stores an energy amount consumed by the user in a predetermined period in association with the predetermined period, and the selection unit is associated with the most recent predetermined period. It is preferable to raise the evaluation when the amount of energy being larger than the amount of energy associated with a predetermined period in the past, and to lower the evaluation when it is smaller.

  According to this configuration, since there is a high possibility that advice for a device that may have increased energy saving is presented, it is possible to present advice that seems to have a higher energy saving effect.

  Further, in the above-described energy saving advice system, the energy saving device includes an owned device storage unit that stores an energy consuming device owned by a user, and the selection unit includes a device that is a target for executing the advice. If it is not stored, it is preferable to invalidate the evaluation of the advice.

  According to this configuration, since advice to be given to a device not owned by the user is not presented, there is a high possibility that effective advice is presented.

  Further, in the above-described energy saving advice system, the energy saving advice system includes a season determination unit that determines the current season, and the selection unit is configured such that when the season in which the user uses the device on which the advice is executed is not the determined season, It is preferable to invalidate the advice evaluation.

  According to this configuration, since the advice for the device is not presented in the season when the device targeted for advice is not used, there is a high possibility that effective advice is presented.

  Moreover, in the above-mentioned energy saving advice system, it is preferable that the selection unit randomly selects advice from advices whose evaluation is not invalid, and raises the evaluation of the selected advice.

  According to this configuration, since advice that is difficult to select based on user information or the like is presented, a variety of advice is presented, and the user can execute energy saving measures without getting tired.

  In the above energy saving advice system, the advice storage unit stores a value of an attribute of the advice in association with the advice, and the user storage unit stores a degree of values for the attribute of the user. The energy saving advice system further includes an evaluation acquisition means for acquiring an evaluation for the advice from the user, and an attribute change means for changing the value of the attribute of the advice based on the acquired evaluation, and the selection means includes an advice storage It is preferable to evaluate each advice based on the attribute value of the advice stored in the means and the degree of values for the attribute stored in the user storage means.

  According to this configuration, advice according to the user's values can be easily presented, so that the user is more likely to execute the advice.

  In the above-described energy saving advice system, it is preferable that the attribute changing unit changes the value of the attribute of the advice based on an evaluation with respect to the advice acquired from another user.

  According to this configuration, it is possible to present advice that takes into account the evaluations of other users, so that advice with more variety is presented, and the user can execute energy saving measures without getting bored.

  The energy saving advice system according to the present invention can present advice that encourages a user to continuously execute an energy saving policy over a long period of time.

It is a figure which shows the example of whole structure of an energy saving advice system. It is a figure which shows the structure of the functional block of a server apparatus and a user terminal. It is a figure which shows the example of a structure and content of the advice information in the server apparatus shown in FIG. It is a figure which shows the example of a structure and content of execution evaluation log | history information in the server apparatus shown in FIG. It is a figure which shows the example of a structure and content of the display history information in the server apparatus shown in FIG. 6A is a diagram illustrating an example of the configuration and contents of the owned device information in the server apparatus illustrated in FIG. 2, and FIG. 6B is a diagram illustrating an example of the configuration and contents of the user's value information. It is. It is a figure which shows the example which showed the consumption performance data memorize | stored in the consumption performance memory | storage part in the server apparatus shown in FIG. 2 with the graph. It is a figure which shows the example of a screen displayed on the display of an output part. It is a figure which shows the item example of the information which a user inputs. It is a flowchart which shows an advice display process. It is a flowchart which shows an advice selection process.

<Embodiment>
<Overview>
The energy saving advice system according to the embodiment displays (presents) advice in consideration of various items such as the number of times each advice is displayed, the actual amount of energy consumption, the user's owned equipment, and seasons as well as the user's values.

  By taking into consideration so-called changing items such as the number of times of display and the amount of energy consumption, it is possible to prevent the displayed advice from being fixed. In addition, by taking into account the user's owned equipment and season, it is possible to prevent a measure that the user cannot execute, that is, advice that is meaningless to the user.

  A user who uses the energy saving advice system can expect to use the displayed advice and give an energy saving lifestyle without getting tired even if the energy saving advice system is used for a long period of time.

  Furthermore, this energy saving advice system acquires information such as whether or not advice is executed and evaluation of the advice from the user, and considers the acquired information when selecting the advice to be displayed thereafter. The information to be considered includes not only information acquired from the person himself but also information acquired from other users.

  In other words, all users input not only personal information such as their own values but also whether or not the presented advice is executed and information such as evaluations into the system, leading to more energy-saving and highly evaluated advice. The advice is fed back to each user, and each user performs an energy saving action based on the advice. Furthermore, by inputting information such as execution and evaluation of advice to the system, it is possible to expect information related to advice to circulate continuously and to shift the user to an energy-saving lifestyle.

  Hereinafter, an embodiment according to the present invention will be described with reference to the drawings. In the embodiment, a case where the power consumption is reduced will be described as an example. However, energy consumption such as gas and kerosene may be reduced.

<Configuration>
FIG. 1 is a diagram illustrating an overall configuration example of the energy saving advice system 10.

  The energy saving advice system 10 includes a server device 100, a user terminal 200A, a user terminal 200B, a user terminal 200C, and a network 11. In the present specification, when referring generically, it is indicated by a reference symbol without a suffix, and when referring to an individual configuration, it is indicated by a reference symbol with a suffix.

  The user terminal 200 is a terminal device such as a personal computer that displays advice and the like transmitted from the server device 100, and is basically provided in one family. The user terminal 200 communicates with the server apparatus 100 via the network 11 such as the Internet.

  The server device 100 is a so-called server that provides a service for selecting and displaying an advice in response to an advice display request from the user terminal 200, and is installed in a management company or the like of the energy saving advice system 10. Shall.

  First, the configuration of the server device 100 and the user terminal 200 will be described.

  FIG. 2 is a diagram illustrating a configuration of functional blocks of the server device 100 and the user terminal 200.

  The server device 100 includes a storage unit 110, an operation control unit 120, and a communication unit 130.

  The storage unit 110 functionally includes an advice information storage unit 1000 that stores information related to advice displayed on the user terminal 200, an execution history storage unit 1100 that stores information related to execution of displayed advice, and the like. A display history storage unit 1200 that stores the number of times and the displayed advice, a user information storage unit 1300 that stores information about the user, and a consumption record storage unit 1400 that stores a history of power consumption. The data stored in these storage units will be described in the section <Data>.

  The storage unit 110 is a device that stores various programs such as an advice selection program, and various data such as data necessary for execution of the various programs and data generated during the execution. Volatile storage elements such as RAM (Random Access Memory) as working memory, nonvolatile storage elements such as ROM (Read Only Memory) and rewritable EEPROM (Electrically Erasable Programmable Read Only Memory), and various programs A hard disk or the like for storing various data is provided.

  The arithmetic control unit 120 includes, for example, a microprocessor and its peripheral circuits, and functionally includes an advice selection unit 121, a season determination unit 122, and an information update unit 123, and a storage unit according to the control program 110 and the communication unit 130 are controlled according to the function.

  The advice selection unit 121 has a function of referring to information stored in the storage unit 110 and selecting an optimum advice for the user. Details of the selection method will be described later with reference to FIG.

  The season determination unit 122 has a function of receiving a request from the advice selection unit 121 and determining the season based on when the request is received. Specifically, the season determination unit 122 stores a correspondence table between month and day, for example, data such as “Winter” from November 1st to March 10th. The current month and day are acquired from a timer (not shown) inside the server apparatus 100, and the season is determined based on the acquired month and day. For example, if it is January 1, it is determined that it is “winter”.

  The information update unit 123 has a function of updating information stored in the storage unit 110 as necessary. The information update unit 123 largely updates two pieces of information. The first information is information stored for each user, specifically, advice display count, advice execution count, and the like. For example, when the advice selected by the advice selection unit 121 is displayed, the display count of the advice stored in the display history storage unit 1200 is counted up.

  The second information is information regarding the attribute values of advice common to the users, specifically, the ease and recommendation level for each advice. For example, the recommendation level of advice recommended by many users is increased. In the embodiment, this information is updated every six months. It may be performed when the data input from the user reaches a certain amount or when the system administrator inputs a predetermined command.

  The communication unit 130 has a function of transmitting / receiving data to / from the user terminal 200.

  Note that the storage unit 110, the calculation control unit 120, and the communication unit 130 in the server device 100 are connected to each other by a bus 101 so that signals can be exchanged with each other.

  The user terminal 200 includes an output unit 210, an input unit 220, a communication unit 230, and a control unit 240.

  The output unit 210 is a device that displays a command, advice, or the like input from the input unit 220, and is, for example, a display device such as a CRT display, LCD, organic EL display, or plasma display. It may be a printing device such as a printer.

  The input unit 220 is a device that inputs various commands such as a command for starting a program for displaying advice, user information, and the like to the user terminal 200, and is, for example, a keyboard or a mouse.

  The control unit 240 includes a microprocessor and its peripheral circuits, and is functionally provided with an advice display unit 211, a consumption performance display unit 212, a user information input unit 221, a consumption input unit 222, and an evaluation input unit. 223, and controls the output unit 210, the input unit 220, and the communication unit 230 according to the function according to the control program.

  The advice display unit 211 has a function of requesting the server device 100 to select an advice and displaying the advice received from the server device 100 on the output unit 210 when an advice display instruction is input from the input unit 220. .

  When a display instruction is input from the input unit 220, the consumption record display unit 212 acquires data from the consumption record storage unit 1400 of the server apparatus 100 and displays a graph of power consumption on the output unit 210. It has a function.

  The user information input unit 221 has a function of inputting information related to the user, for example, information such as gender, age, home energy usage, and values that are important when introducing a new home appliance / system. The input user information is stored in the user information storage unit 1300 of the server device 100.

  The consumption input unit 222 has a function of inputting a record of power consumption from the input unit 220. In the embodiment, it is assumed that the user inputs monthly consumption. The consumption amount may be automatically input from a power meter or the like.

  The evaluation input unit 223 has a function of inputting from the input unit 220 whether or not the advice displayed last time is executed, evaluation for each advice, and the like.

  Here, FIG. 8 shows an example of a screen displayed on the display of the output unit 210.

  On the display screen 2100, an advice display area 2110 and an execution / evaluation input area 2120 are displayed. The advice display area 2110 displays the current month's advice, and the execution / evaluation input area 2120 displays the advice displayed last month, whether or not the advice has been executed, and a check box 2121 for inputting the evaluation. . When the user executes the advice displayed last month, when the execution is evaluated as “easy”, when the execution is evaluated as “recommended”, each user provided for each advice Check the check box.

  The communication unit 230 has a function of transmitting / receiving data to / from the server device 100.

  The output unit 210, the input unit 220, the communication unit 230, and the control unit (not shown) in the user terminal 200 are connected by a bus 201 so that signals can be exchanged with each other.

  In addition, the user terminal 200 includes a storage unit (not shown). This storage unit stores various programs such as an advice display program, and various data such as data necessary for execution of the various programs and data generated during the execution. For example, a volatile storage element such as a RAM (Random Access Memory) serving as a so-called working memory of the control unit 240, a ROM (Read Only Memory) or a rewritable EEPROM (Electrically Erasable Programmable Read Only Memory) And the like, and a hard disk for storing various programs and various data.

  Note that the server device 100 or the user terminal 200 may further include an external storage unit (not shown) as necessary. The external storage unit is, for example, a flexible disk, a CD-ROM (Compact Disc Read Only Memory), a CD-R (Compact Disc Recordable), a DVD-R (Digital Versatile Disc Recordable), and a Blu-ray Disc (registered trademark). For example, a flexible disk drive, a CD-ROM drive, a CD-R drive, a DVD-R drive, a Blu-ray disk drive, and the like are devices that read data from and / or write data to / from a recording medium.

  Here, when an advice selection program and various data are not stored in the server device 100, or when an advice display program and various data are not stored in the user terminal 200, a recording medium storing the program and data is used. The server device 100 may be configured to be installed in the storage unit 110 of the server device 100 or the storage unit of the user terminal 200 via the external storage unit.

  In the embodiment, the server device 100 selects an advice, but the user terminal 200 may execute a part or all of the functions.

<Data>
Hereinafter, main data used in the energy saving advice system 10 will be described with reference to FIGS.

  FIG. 3 is a diagram showing an example of the configuration and contents of the advice information 1010.

  One piece of advice information 1010 is stored in the advice information storage unit 1000, and all advice is registered. In the embodiment, 104 pieces of advice are registered.

  In the embodiment, for convenience of explanation, the advice information 1010 is described as one. However, the user may be divided into a plurality of groups based on the user attributes, and the advice information 1010 having different contents may be stored for each group. Good. In this case, for example, information indicating which group the user belongs to is stored for each user, and advice is selected from the corresponding advice information.

  The advice information 1010 includes an advice number 1011, an advice sentence 1012, a device ID 1013, an energy saving amount 1014, a CO2 reduction amount 1015, a cost reduction amount 1016, a target execution count 1017, a lightness degree 1018, a recommendation degree 1019, a season 1020, and The area 1021 is configured.

The advice number 1011 is an identifier for identifying and distinguishing individual advices from a plurality of registered advices. In the embodiment, the advice sentence 1012 in which one advice is registered as one record indicates a character string indicating the content of the advice indicated by the advice number 1011. In addition, at the time of display, the endings of sentences are changed and displayed at appropriate times.

  The device ID 1013 is an identifier for identifying the energy consuming device that is the target of advice indicated by the advice number 1011. For example, it is a specific device such as a television or a warm air heater, and different identifiers are assigned to the same type of device if the performance such as fuel efficiency is different.

  The energy saving amount 1014 is an energy saving amount for one year when the energy saving action indicated by the advice sentence 1012 is performed on the device indicated by the device ID 1013, and the unit is MJ (mega joule).

  The CO2 reduction amount 1015 is the CO2 reduction amount for one year when the energy saving action indicated by the advice statement 1012 is performed on the device indicated by the device ID 1013, and the unit is g-Co2 (gram sea auto / CO2). Conversion grams).

  The cost reduction amount 1016 is a one year cost reduction amount when the energy saving action indicated by the advice sentence 1012 is performed on the device indicated by the device ID 1013, and the unit is a circle.

  The target execution count 1017 indicates the number of times that the energy saving action indicated by the advice statement 1012 should be performed in one year for the appliance indicated by the appliance ID 1013. This number is also the upper limit number of times that can be executed.

  The degree of simplicity 1018 indicates time and labor when executing the energy saving action indicated by the advice sentence 1012 for the device indicated by the device ID 1013. In the embodiment, the numerical value from 1 to 5 is used, and “5” indicates the least effort, that is, it is easy.

  The recommendation level 1019 indicates a recommendation level in consideration of time and effect when the energy saving action indicated by the advice sentence 1012 is executed for the device indicated by the device ID 1013. In the embodiment, a numerical value from 1 to 5 is used, and “5” is the most recommended value.

  The season 1020 indicates a season in which the energy saving action indicated by the advice sentence 1012 can be executed for the device indicated by the device ID 1013, in other words, the season in which the user is using the device. “Winter” is set. In the embodiment, “0” indicates that display is possible throughout the year, “1” indicates that display is possible in summer, and “2” indicates that display is possible in winter. Further, “3” indicates that display is possible in spring and autumn, and “4” indicates that display is possible except in winter. For example, an advice sentence 1012 “decrease heating time” with an advice number 1011 of “5” is an advice for a heater, and therefore, a number indicating “2”, that is, “winter” is set as the season 1020.

  An area 1021 indicates a place where the device indicated by the device ID 1013 is installed. It is assumed that energy consumption is measured in this area unit. In the embodiment, it is assumed that power consumption is measured separately for so-called water areas such as a bathroom and a kitchen, and the other two areas. “0” indicates an area around the water, and “1” indicates other areas.

  The contents set as the advice number 1011 to the target execution count 1017, the season 1020, and the area 1021 of each record are set in advance, but the simplicity 1018 and the recommendation 1019 are: It is assumed that changes are made by the information update unit 123 of the server device 100 at appropriate times. For example, the advice that many users have evaluated as “recommended” is to increase the numerical value set as the recommendation level 1019.

  Next, FIGS. 4 to 7 will be described. The data described with reference to FIGS. 4 to 7 is data for one user, and data of all users is stored for each user in each storage unit.

  FIG. 4 is a diagram illustrating an example of the configuration and contents of the execution evaluation history information 1110.

  The execution evaluation history information 1110 is stored in the execution history storage unit 1100, and stores the number of times advice is executed by the user.

  The execution evaluation history information 1110 includes an advice number 1111, an execution count 1112, a simplicity count 1113, and a recommended count 1114.

  The advice number 1111 is an identifier for identifying and distinguishing individual advices from a plurality of advices, and the same identifier as the advice number 1011 of the advice information 1010 is set. For example, in the record whose advice number 1111 is “1”, information regarding the advice whose advice number 1011 is “1” in the advice information 1010 is set.

  The execution count 1112 indicates the number of times the advice indicated by the advice number 1111 has been executed.

  The number of easy times 1113 indicates the number of times that the advice indicated by the advice number 1111 is evaluated as “easy”.

  The recommended number 1114 indicates the number of times that the advice indicated by the advice number 1111 is evaluated as “recommended”.

  The execution number 1112 to the recommended number 1114 are updated by the information updating unit 123 of the server device 100 when the user inputs the presence / absence of the advice and the evaluation of the advice (see FIG. 8).

  Note that the number of executions 1112 to the recommended number of times 1114 of the execution evaluation history information 1110 is cleared once a year since the target number of times 1017 of the advice information 1010 is set to be performed in one year. .

  FIG. 5 is a diagram showing an example of the configuration and contents of the display history information 1210.

  The display history information 1210 is stored in the display history storage unit 1200, and the display count of all advices is stored.

  The display history information 1210 includes an advice number 1211 and a display count 1212.

  The advice number 1211 is an identifier for identifying and distinguishing individual advices from a plurality of advices, and the same identifier as the advice number 1011 of the advice information 1010 is set.

  The display count 1212 indicates the number of times the advice indicated by the advice number 1111 is displayed.

  The display count 1212 is updated when advice is displayed in the advice display area 2110 (see FIG. 8).

  The display count 1212 of the display history information 1210 is cleared at appropriate times, for example, every year.

  FIG. 6A is a diagram illustrating an example of the configuration and contents of the owned device information 1310, and FIG. 6B is a diagram illustrating an example of the configuration and contents of the user value information 1320.

  These pieces of information are information related to selecting advice from the user information stored in the user information storage unit 1300. These pieces of information are created in advance by a predetermined method based on information input by the user from the user information input unit 221 of the user terminal 200. An example of information items input by the user is shown in FIG.

  The owned device information 1310 in FIG. 6A includes an item number 1311, a device ID 1312, and a device name 1313.

  The item number 1311 is the number of the record registered in the owned device information 1310. One record is registered in the owned device information 1310 for each device owned by the user. For example, if the user has two kitchens with the same device, two records are registered.

  The device ID 1312 is an identifier for specifying an energy consuming device owned by the user. The ID set in the device ID 1312 is one of the identifiers set in the device ID 1013 of the advice information 1010.

  The device name 1313 indicates the name of the device indicated by the device ID 1312.

  The owned device information 1310 is preferably updated by the user when the user buys, replaces, or disposes of the device.

  The value information 1320 in FIG. 6B includes value items 1321 and a coefficient 1322.

  The value item 1321 indicates an item of an effect that is produced when energy saving is executed. In the embodiment, there are five items of “energy saving amount”, “CO2 reduction amount”, “cost saving amount”, “easy”, and “recommended”.

  The coefficient 1322 is a degree indicating how much the user attaches importance to the item indicated by the value item 1321, in other words, how much value the user feels. In the embodiment, the total is set to “1”.

  This value information 1320 includes, for example, responses to “b. Survey item 9” “Please tell us the values that are important to your family.” And other items among the items shown in FIG. It shall be created based on the judgment. In addition, it is good also as having a user input the value of the coefficient 1322.

  The coefficient 1322 of the value information 1320 is desirably changed by the user when the importance that the user thinks changes.

  FIG. 7 is a diagram illustrating an example of the consumption record data stored in the consumption record storage unit 1400 as a graph. The consumption record data is acquired via the consumption input unit 222, and at least the consumption data for the last year and the consumption data for this year are stored. Further, it is assumed that the information is stored for each area indicated by the area 1021 of the advice information 1010 (see FIG. 3). In the embodiment, there are two areas, a water area and other areas.

  In the consumption performance graph 1410, the vertical axis indicates power consumption, and the horizontal axis indicates the month. The bar graph shows the consumption results for the previous year, and the line shows the consumption results for this year. In FIG. 7, since the results until April of this year have been shown, the graph is displayed in May.

<Operation>
Hereinafter, operation | movement of the energy-saving advice system 10 is demonstrated using FIG. 10 and FIG. FIG. 10 is a flowchart showing the advice display process, and FIG. 11 is a flowchart showing the advice selection process which is a part of the advice display process (step S11) shown in FIG.

<Advice selection process>
First, the advice selection process will be described with reference to FIG. 11, and the advice display process will be described later with reference to FIG.

  This advice selection processing is processing performed by the advice selection unit 121 (selection unit) of the server device 100.

  In the energy saving advice system 10, each advice is evaluated in consideration of the user's values, advice display history, and the like, and a predetermined number, for example, 10 advices are presented to the user in descending order of the evaluation. In the embodiment, the evaluation score is calculated for each advice, and it is determined that the evaluation is higher as the score is higher.

  The prepared advice, that is, the advice registered in the advice information 1010 is considered to be useful. Therefore, the energy saving advice system 10 employs a method that can display advice that is considered not to be highly evaluated when the user's values and the number of times of display are taken into consideration. Specifically, advice is selected at random, and the evaluation of the advice is increased.

First, the record with the advice number 1011 of the advice information 1010 is referred to as “1” (step S30: NO), and the evaluation point p ₀ considering the user's values is calculated using the following (formula 1) ( Step S31).

p ₀ = Σ _i a _i v _i (Equation 1)
In the embodiment, the user's values are represented by five items. Specifically, it is an item of the value item 1321 of the value information 1320 (see FIG. 6B) stored in the user information storage unit 1300. That is, there are five “energy saving amount”, “CO2 reduction amount”, “cost saving amount”, “easy”, and “recommended”. Therefore, i in (Expression 1) is 1 to 5.

  These five value items correspond to the five items of the advice information 1010, that is, the energy saving amount 1014, the CO2 reduction amount 1015, the cost reduction amount 1016, the ease degree 1018, and the recommendation degree 1019, which are attributes of each advice.

a _i is a value obtained by normalizing the values of these five items set in the advice in the advice information 1010. Since the absolute value of the numerical value set in the advice information 1010 varies greatly between items, normalization is performed with the maximum value of all advices set to 1. That is, the maximum value of a _i is 1 for all items.

v _i is a value set as the coefficient 1322 of the value information 1320, and satisfies the following (Expression 2).

Σ _i v _i = 1 (Formula 2)
Next, in order to prevent the same advice from being displayed many times, the evaluation points are deducted according to the number of times of display (step S32). Specifically, the evaluation point p ₁ considering the number of display times is calculated using the following (Formula 3).

p _i = k ^nd p ₀ (Equation 3)
k is an attenuation constant, for example, k = 0.95. n _d is the number of times the advice is displayed. In embodiments, _{n d} is obtained by referring to the views 1212 of display history information 1210 (see FIG. 5). For example, when the advice evaluation score of the advice number “1” is calculated, the value “3” set as the display count 1212 is displayed in the record in which “1” is set as the advice number 1211. It becomes the number of times.

  Next, the evaluation points are deducted according to the number of times advice is actually executed (step S33).

In each advice, a limit number of times that can be executed or can be executed in a year is set as a target execution number 1017 of the advice information 1010. As the number of actual executions approaches the target number of executions, the point is greatly reduced. This is because advice that has been executed many times lowers the score and increases the possibility that advice that has not been executed frequently will be displayed. In addition, items added to the target number of executions are not displayed. Specifically, the evaluation point p ₂ in consideration of the number of executions is calculated using the following (Equation 4).

_{p 2 = (n t -n x} ) p 1 / n t ( Equation 4)
n _t is the number of times the advice has been executed, and n _x is the number of times the advice has been displayed. n _t is obtained with reference to the execution count 1112 of the execution evaluation history information 1110 (see FIG. 4). For example, when the advice evaluation score of the advice number “1” is calculated, the value “1” set as the execution count 1112 is executed in the record in which “1” is set as the advice number 1111. It becomes the number of times.

Further, _{n x} is determined with reference to the views 1212 of display history information 1210 (see FIG. 5). For example, when the advice evaluation score of the advice number “1” is calculated, the value “3” set as the display count 1212 is displayed in the record in which “1” is set as the advice number 1211. It becomes the number of times.

  Next, the evaluation score is reduced according to the energy consumption performance (step S34).

When the user's energy consumption increases, it is determined that the necessity of energy saving action is high, and a point is added. Conversely, if the energy consumption is reduced, it is determined that the need for energy saving action is low and points are reduced. Specifically, the evaluation point p ₃ Considering energy consumption results is calculated using the following Equation (5).

p ₃ = (c ₁ / c ₀ ) p ₂ (Formula 5)
c ₀ is the last month's consumption of energy related to advice, and c ₁ is the consumption of last month this year. The consumption amount is obtained by referring to the consumption record data stored in the consumption record storage unit 1400. The actual consumption related to the advice is the actual consumption in the area indicated by the number set as the area 1021 in the advice record to be evaluated in the advice information 1010.

  In the embodiment, the evaluation score is changed based on the consumption amount for each area. However, the evaluation score may be reduced or added according to the consumption amount for each type of energy such as gas and kerosene. In this case, each piece of advice has data indicating the energy source of the device to be adviced, for example, data indicating electricity, gas, and the like. Further, in the embodiment, it is compared with the consumption of the same month last year, but it is only necessary to be able to determine the necessity of the user's energy saving behavior. It may be compared with a value or the like.

  Next, the evaluation score is corrected according to the equipment ownership status (step S35).

Since it is meaningless to display advice for a device not owned by the user, the evaluation is invalidated and the score of the advice is set to “0”. Specifically, the evaluation score p ₄ taking into account the user's equipment ownership status is calculated using the following (Formula 6).

If you own the device: p ₄ = p ₃
When the device is not owned: p ₄ = 0 (Formula 6)
Whether the user owns the device to be advised is determined with reference to owned device information 1310 (see FIG. 6A) stored in the user information storage unit 1300.

  For example, when the advice evaluation score with the advice number “1” is calculated, the identification number of the device set as the device ID 1013 in the record in which “1” is set as the advice number 1011 in the advice information 1010 Read “35”. If a record in which the read device identification number “35” is set as the device ID 1312 is registered in the owned device information 1310, the user determines that “the device is owned”. If no record is registered, it is determined that the user does not own the device.

  Next, the evaluation score is corrected according to the season (step S36).

Since it is meaningless to display advice for a device in a season when the device to be acted on by the advice is not used, the score of the advice is set to “0”. Specifically, the evaluation point p ₅ was season considered, is calculated using the following (Equation 7).

If it is not out of season: p ₅ = p ₄
When it is out of season: p ₅ = 0 (Formula 7)
The advice selection unit 121 requests the season determination unit 122 to determine a season and displays advice from the season determination unit 122, that is, the current season is “spring”, “summer”, “autumn”, “winter”. To get one of them. Then, referring to the season 1020 of the advice information 1010, it is determined whether or not it is out of season.

  For example, when the advice evaluation score of the advice number “4” is calculated, the value “1” set as the season 1020 in the record in which “4” is set as the advice number 1011 in the advice information 1010. Is read. Since “1” indicates that it can be displayed in summer, when “spring”, “autumn”, or “winter” is acquired from the season determination unit 122, it is determined that “out of season”.

Advice selection unit 121, the evaluation point p ₅ were calculated, in association with the evaluated advice number.

When the advice selection unit 121 performs the processes in steps S31 to S36 up to all the advices registered in the advice information 1010, that is, the record whose advice number 1011 is “104” (step S30: YES), it is random. One advice is selected, and a point is added to the evaluation score of the advice (step S37). Specifically, the evaluation score p ₆ is calculated using the following (Formula 8).

p ₆ = p ₅ + {0, 1, 2, 3, 4, 5} (Formula 8)
The advice selection unit 121 randomly selects one advice from the advice whose stored evaluation score P ₅ is not “0”, that is, the evaluation is not invalid, and adds points with a certain probability. The probability value is, for example, a quarter. The added point width is also an integer from 0 to 5 at random.

Advice selection unit 121, which was added points to the selected advice randomly rearranges the advice in descending order of evaluation point p _6, the advice to the most s-th, is selected as the advice to be displayed. For example, s = 10, that is, 10 advices are selected (step S38).

  As described above, the energy saving advice system 10 can select and display advice that is suitable for the user and that is rich in variety.

<Advice display processing>
FIG. 10 is a flowchart for explaining advice display processing of the energy saving advice system 10. A dotted arrow indicates data transmission.

  First, the user operates the input unit 220 to give an instruction to display energy saving advice.

  The advice display unit 211 that has detected the display instruction of the energy saving advice input to the input unit 220 transmits an advice selection instruction to the server device 100 via the communication unit 230 (step S20).

  The arithmetic control unit 120 of the server device 100 waits for an advice selection instruction via the communication unit 130 (step S10: NO). When receiving the selection instruction (step S10: YES), the advice selection unit 121 selects the advice. Ask.

  Upon receiving the request, the advice selection unit 121 reads out necessary data from the advice information storage unit 1000 or the like, and selects advice as described above with reference to FIG. 11 (step S11). The advice selection unit 121 that has selected the advice stores the advice number of the selected advice in the display history storage unit 1200 as the latest (this month) advice.

  The advice selection unit 121 that has selected the advice generates data for displaying the selected advice and transmits the data to the user terminal 200 via the communication unit 130 (step S12).

  When the advice display unit 211 (presentation unit) of the user terminal 200 receives data for displaying advice from the server device 100, the advice display unit 211 displays the display screen 2100 on the output unit 210 and displays the received advice on the advice display area 2110. (See step S21, FIG. 8).

  On the other hand, in the server device 100, the advice selection unit 121 that has transmitted the data for displaying the selected advice to the user terminal 200 passes the advice number of the selected advice to the information update unit 123 to record the display history. Ask.

  Upon receiving the request, the information update unit 123 (update unit) updates the data set in the display history information 1210 stored in the display history storage unit 1200 (presentation history storage unit) (step S13). Specifically, the advice number received from the advice selection unit 121 adds 1 to the numerical value set as the display count 1212 of the record set as the advice number 1211.

  Next, the advice selection unit 121 reads the advice selected last time (last month) and transmitted to the user terminal 200 from the display history storage unit 1200, generates data for displaying the previous advice, and sends it to the user terminal 200. Transmit (step S14).

  The evaluation input unit 223 (execution result acquisition unit, evaluation acquisition unit) of the user terminal 200 receives data for displaying the previous advice from the server device 100 and executes the display screen 2100 displayed on the output unit 210. The advice received together with the check box 2121 is displayed in the evaluation input area 2120 (see step S22, FIG. 8).

  The user who has viewed the display screen 2100 displayed on the output unit 210 inputs whether or not the advice is executed and the evaluation (step S23). That is, the corresponding check box 2121 is checked.

  For example, when the user reduces the usage time of the personal computer according to the advice displayed last time, the “execution” check box of the advice “Did you reduce the time of the personal computer?” Is checked. In addition, if the action of reducing the usage time of the personal computer is considered to be a recommended energy saving action, check the “Recommend” checkbox.

  The user who inputs the presence / absence of execution of the advice and the evaluation performs an operation indicating that the input of the evaluation is completed, for example, presses a confirmation key (not shown).

  The evaluation input unit 223 that has detected that the end operation has been performed transmits to the server apparatus 100 whether or not the check box is checked. Specifically, for example, evaluation data indicating that the “execution” and “recommendation” checkboxes of the advice “reducing the time of the personal computer” are checked ”is transmitted.

  The information updating unit 123 (attribute changing unit) that has received the evaluation data updates the execution evaluation history information 1110 based on the received evaluation data (step S16).

  Specifically, the advice number of the advice whose checkbox is checked is acquired from the previously selected advice data stored in the display history storage unit 1200 and the received evaluation data.

  When the “execution” check box is checked, the information update unit 123 sets the execution count 1112 of the record in which the acquired advice number is set as the advice number 1111 in the execution evaluation history information 1110 (see FIG. 4). Add 1 to the set value. When the “easy” check box is checked, the information updating unit 123 adds 1 to the value set as the number of times 1113 of the record, and the “recommended” check box is checked. If it is, 1 is added to the value set as the recommended number 1114 of the record.

  Next, when the correction time comes, for example, when the information update unit 123 detects from the timer that half a year has passed since the previous correction (step S17), the information update unit 123 refers to the execution evaluation history information 1110 of all users, The ease degree 1018 and the recommendation degree 1019 of the advice information 1010 are corrected (step S18).

  Specifically, for example, the values set in the number of easy times 1113 or the recommended number of times 1114 of the execution evaluation history information 1110 of all users are summed for each advice. For advice whose sum is larger than a predetermined threshold, for example, 0.1 is added to the value set as the degree of simplicity 1018, and when the sum is smaller than the threshold, for example, 0.1 is subtracted. Etc.

  In other words, the evaluation of other users will be reflected when the next displayed advice is selected, and advice that is more suitable for the user and that is likely to continue energy saving behavior is displayed. It will be.

  In order to express the present invention, the present invention has been properly and fully described through the embodiments with reference to the drawings. However, those skilled in the art can easily change and / or improve the above-described embodiments. It should be recognized that this is possible. Therefore, unless the modifications or improvements implemented by those skilled in the art are at a level that departs from the scope of the claims recited in the claims, the modifications or improvements are not covered by the claims. To be construed as inclusive.

DESCRIPTION OF SYMBOLS 10 Energy saving advice system 11 Network 100 Server apparatus 110 Storage part 120 Operation control part 130 230 Communication part 200 User terminal 210 Output part 211 Advice display part 212 Consumption result display part 220 Input part 221 User information input part 222 Consumption input part 223 Evaluation Input unit 240 Control unit 1000 Advice information storage unit 1010 Advice information 1100 Execution history storage unit 1110 Execution evaluation history information 1200 Display history storage unit 1210 Display history information 1300 User information storage unit 1310 Owned device information 1320 Value information 1400 Consumption record storage unit

Claims (10)

Advice storage means storing a plurality of advice on energy saving;
User information storage means for storing user information about the user;
A presentation history storage means for storing the number of times the advice has been presented in association with each advice;
A selection means for selecting an advice from the plurality of advices, wherein the evaluation of each advice obtained in advance based on the user information is corrected according to the number of times stored in the presentation history storage means, and after the correction A selection means for selecting highly rated advice,
Presenting means for presenting the advice selected by the selecting means to the user;
An energy saving advice system comprising: an updating means for updating the number of times stored in the presentation history storage means in association with the advice presented by the presenting means. Execution history storage means for storing the number of times advice has been executed in association with each advice;
An execution result acquisition means for acquiring from the user that the presented advice has been executed,
The update means updates the number of times stored in the execution history storage means in association with the executed advice acquired by the execution result acquisition means,
The energy saving advice system according to claim 1, wherein the selection unit corrects the evaluation of each advice according to the number of times stored in the execution history storage unit. A consumption record storage means for storing the energy amount consumed by the user in a predetermined period in association with the predetermined period;
The selection means increases the evaluation when the energy amount associated with the latest predetermined period is larger than the energy amount associated with the past predetermined period, and decreases the evaluation when the energy amount is smaller. The energy saving advice system according to claim 1 or 2. An owned device storage means for storing energy consuming devices owned by the user;
The said selection means invalidates evaluation of the said advice, when the apparatus which is the object which performs advice is not memorize | stored in the said possessed apparatus memory | storage means. The energy-saving advice system described. It has a season judgment means to judge the current season,
The selection means invalidates the evaluation of the advice if the season in which the user uses the device on which the advice is to be executed is not the determined season. Energy saving advice system described in 1. 6. The energy saving advice system according to claim 4, wherein the selection unit randomly selects an advice from advices whose evaluation is not invalid, and raises the evaluation of the selected advice. The advice storage means stores the value of the attribute of the advice in association with the advice,
The user information storage means stores a degree of values for the attribute of the user,
The energy saving advice system further includes an evaluation acquisition means for acquiring an evaluation for advice from a user,
Attribute changing means for changing the value of the attribute of the advice based on the obtained evaluation,
The selection means obtains evaluation of each advice based on the value of the attribute of advice stored in the advice storage means and the degree of values for the attribute stored in the user information storage means. The energy saving advice system according to any one of claims 1 to 6. The energy saving advice system according to claim 7, wherein the attribute changing unit changes a value of an attribute of the advice based on an evaluation with respect to the advice acquired from another user. Advice storage means storing a plurality of advice on energy saving;
User information storage means for storing user information about the user;
An energy saving advice method used in an energy saving advice system having a presentation history storage means for storing the number of times an advice is presented in association with each advice,
A selection step of selecting an advice from the plurality of advices, wherein the evaluation of each advice obtained in advance based on the user information is corrected according to the number of times stored in the presentation history storage means, and after the correction A selection step to select a highly rated advice,
A presentation step of presenting the advice selected in the selection step to the user;
An energy saving advice method comprising: an update step of updating the number of times stored in the presentation history storage means in association with the advice presented in the presentation step. An energy-saving advice program to be executed by a computer,
Advice storage means storing a plurality of advice on energy saving;
User information storage means for storing user information about the user;
A presentation history storage means for storing the number of times the advice has been presented in association with each advice;
A selection means for selecting an advice from the plurality of advices, wherein the evaluation of each advice obtained in advance based on the user information is corrected according to the number of times stored in the presentation history storage means, and after the correction A selection means for selecting highly rated advice,
Presenting means for presenting the advice selected by the selecting means to the user;
An energy-saving advice program characterized by causing a computer to function as an updating means for updating the number of times stored in the presentation history storage means in association with the advice presented by the presenting means.

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