JP5852941B2 - Energy conservation action continuation support system - Google Patents

Description

  The present invention relates to a system that monitors the amount of light heat such as electricity used in stores, buildings, offices, and homes and supports energy saving behavior.

  In recent years, with the progress of global warming, the reduction of forest resources, and the expansion of environmental destruction, there is an urgent need to reduce emissions of greenhouse gases such as carbon dioxide (CO2). Companies are also required to reduce power consumption (power consumption), peak power, and maximum demand power (demand). Energy saving measures (energy saving measures) within the company and employee energy saving actions There is a strong demand.

  Regarding such energy saving support, as a conventional example, there is an apparatus and a system for monitoring energy consumption and monitoring energy consumption.

  For example, in the “energy saving support system and energy saving support program” described in Japanese Patent Application Laid-Open No. 2010-176373 (Patent Document 1), a load device that is expected to reduce power usage is specified based on the measurement result of power usage, and energy saving Provide action plan. Evaluate the implementation status of energy conservation action plans and send energy conservation encouragement advice according to the implementation status.

  Further, for example, in the “Electrical equipment management system” described in Japanese Patent Application Laid-Open No. 2008-136334 (Patent Document 2), the operation status of each operating equipment is compared with the effective usage conditions of electricity, Output operational messages.

JP 2010-176373 A JP2008-136334

  However, the conventional technology only monitors and displays the usage amount of power, etc., and does not monitor what kind of energy saving action is being implemented, and grasps the relationship between the power consumption and the energy saving action. It was difficult.

  In addition, while the conventional technology monitors the amount of electric power used and sends advice or controls electrical equipment, it is possible to grasp the process leading to the situation only by evaluating the implementation status and operation status. It was difficult. In particular, it is not possible to evaluate the process leading up to the monthly energy reduction target (hereinafter referred to as the monthly target) as well as the progress of the month. There was a problem that it was not possible to properly support the continuation of the project.

  An object of the present invention is to provide an information system that promotes the maintenance of motivation and appropriately supports the continuation of daily energy-saving behavior by appropriately evaluating and presenting the daily energy-saving behavior for achieving the monthly goal.

The above problem is to calculate the target reduction amount from the power usage amount acquisition unit that acquires the power amount collected from the power sensor, the target reduction rate for the target period, and the power usage amount and the target reduction rate for the past target period. From the first day of the target period to the target day, a target setting unit, a period target calculation unit that calculates the target reduction amount at the end of each period as a target period reduction amount, divided into multiple periods from the first day of the target period A cumulative value calculation unit that calculates the total reduction amount as a cumulative reduction amount, a target achievement calculation unit that calculates the achievement status of the target period by comparing the cumulative reduction amount with the period target reduction amount at the end of the period, and for each period A period reduction rate calculation unit that calculates the rate of reduction as a period reduction rate, a message knowledge database that stores a judgment condition for outputting a message for each message sentence, achievement status of a plurality of consecutive target periods, and a period for each period A message determination unit that determines whether or not the determination condition of the knowledge database is met based on the reduction rate, a message sentence generation unit that generates a message sentence based on the message determined to be compatible by the message determination unit, And a message output unit that outputs a message generated by the message sentence generation unit.
Can be solved.

  With the energy conservation action continuation support system of the present invention, the daily energy conservation actions, such as the progress of power reduction and the implementation status of energy conservation actions, are appropriately evaluated and presented as messages, so the motivation of energy conservation actions can be maintained, Improve continuity awareness.

The structural example of the energy-saving action continuation support system of this invention. An example of a user information database. Memory example. Knowledge database example. An example of a data storage database. The example of the flowchart showing the operation | movement at the time of the first time use of a data server. The example of the flowchart showing the operation | movement at the time of the implementation record input of a data server. The example of the flowchart showing the operation | movement at the time of action determination of a data server. The example of the flowchart showing the operation | movement at the time of the screen generation of a data server. The example of the screen at the time of the initial registration of the user input / output terminal. The example of the screen at the time of the eco action input of the terminal for user input / output. The example of the screen at the time of the event recording input of the user input / output terminal. The example of the screen at the time of the comment recording input of the terminal for user input / output. The example of the flowchart showing the operation | movement at the time of the message generation of a data server. An example of email sent to the user. An example of the screen at the end of early user input / output terminal. An example of the screen at the end of the middle of the user input / output terminal. An example of the screen at the end of the end of the user input / output terminal. The example of the flowchart showing the operation | movement at the time of the energy-saving advice output of a data server. The example of the screen at the time of the energy-saving advice output of a user portable terminal. An example of a user input / output terminal screen. Example of teaching knowledge table at the beginning. An example of a mid-level teaching knowledge table.

  FIG. 1 shows a configuration diagram of an energy saving action support system according to an embodiment of the present invention. This system includes a data server 100, a network 140, an input / output terminal 120 installed in a store, a mobile terminal 180, a power sensor 160, an environment sensor 161, a receiving terminal 150, an air conditioner (air conditioner), And a linkage device / linkage system 170 such as a POS system. The power sensor 160 is installed in a switchboard, a distribution board, a light device, or a power device, and measures the amount of power used. The environment sensor 161 is installed indoors or outdoors in the store, and measures temperature, humidity, and illuminance.

  In the present embodiment, the input / output terminal 120 uses one or more personal computers having an input unit such as a keyboard and a mouse, an output unit such as a display, and a communication unit that communicates with the data server 100 and the like. In addition, portable terminals such as PDAs, PHSs, mobile phones, smartphones, and tablet terminals having an input unit such as a button or a touch panel, an output unit such as a display, and a communication unit that communicates with the data server 100 can also be used.

  The mobile terminal 180 is a portable terminal such as a PDA, PHS, mobile phone, smartphone, tablet terminal or the like having an input unit such as a button or a touch panel, an output unit such as a display, and a communication unit communicating with the data server 100 or the like. Use. One or a plurality of personal computers having an input unit such as a keyboard and a mouse, an output unit such as a display, and a communication unit communicating with the data server 100 or the like can also be used.

  Linked equipment / linkage system 170 includes air conditioners (air conditioners), lighting equipment, televisions, personal computers (PCs), microwave ovens, monitors, and other lighting equipment, elevators, escalators, large air conditioners, and other power equipment, stores An information system such as a store management system (POS system) that manages the sales of customers and the number of customers can also be used.

  In this system, the input / output terminal 120 is installed and used in a store such as a supermarket, a convenience store, a drug store, or a restaurant chain. The data server 100 is installed in the data center.

  In this way, by installing the data server 100 in the data center, the user's personal information and privacy information such as data collected from the user can be centrally managed, so security management such as information leakage prevention can be simplified. .

  In the present system, the input / output terminal 120 can also be installed and used in a residence such as a detached house or a condominium. Thereby, this system can be used also for home use.

  The users (hereinafter referred to as users) of the input / output terminal 120 and the mobile terminal 180 are assumed to be store managers (store managers), area managers and employees of each floor. In the case of home use, a resident who lives in a residence is assumed.

  The user operates the input / output terminal 120 or the portable terminal 180, and uses the system shown in the present embodiment to implement an action program (hereinafter referred to as an energy saving action program) that reduces power consumption.

  The data server 100 includes a control unit 101, a memory 102, a communication unit 103, a weather information acquisition unit 104, a power usage acquisition unit 105, an action execution input unit 106, an output unit 107, and a monthly target setting. Unit 108, period target calculation unit 109, user behavior determination unit 110, cumulative value calculation unit 111, goal achievement determination unit 112, period pace calculation unit 113, message determination unit 114, and message sentence generation unit 115. A mail generation unit 116, a user information database 117, a knowledge database 119, and a data storage database 118.

  The network 140 is connected to the data server 100, the input / output terminal 120, the mobile terminal 180, and the receiving terminal 150. The data server 100 communicates with the input / output terminal 120 via the network 140. The data server 100 communicates with the mobile terminal 180 via the network 140.

  In addition, the receiving terminal 150 periodically acquires (for example, every minute) the amount of power used that is monitored by one or more power sensors 160 via a unique wireless network. The receiving terminal 150 transmits the acquired power usage amount to the data server 100 via the network 140.

  The receiving terminal 150 can also communicate with one or a plurality of environmental sensors 161 and one or a plurality of cooperation devices / systems 170 via a unique wireless network. The receiving terminal 150 can also communicate with one or more power sensors 160 or a plurality of environment sensors 161 and one or more linkage devices / linkage systems 170 via the network 140.

  The network 140 uses wired communication using a LAN (Local Area Network) cable or wireless communication using a wireless LAN.

  The network 140 can also use other local networks such as a local PHS, and other wide area networks such as the Internet, VPN, mobile phone communication network, and PHS communication network.

  Although this system is described as a hardware configuration, some of the functions of this system can also be configured by software.

  FIG. 2 shows an example 200 of the user information database 117. The database example 200 includes a user information table 210 for managing user specific information, a power usage table 220 for storing monthly power usage for each user, and an energy saving action selected by the user at the start of the energy saving action program. Eco action card table 230 for storing eco action cards, which are implementation items, and phenomena and events related to increase / decrease in power consumption selected by the user at the start of the energy saving action program, and events that obstruct energy saving action (hereinafter referred to as “energy saving action”) Event information table 240 for storing the event).

  The user information table 210 includes a field 211 for storing a user ID for identifying a user, a field 212 for storing a user password used when the user performs user authentication when using the system, a name, an address, an e-mail address, and the like. A field 213 for storing the unique information, a field 214 for storing the reduction rate (target reduction rate) of the power consumption targeted by the energy saving action program, a field 215 for storing the implementation period of the energy saving action program, and the implementation period And a field 216 for storing the amount of electricity used last year during the same period, a field 217 for storing the target reduction amount in the program implementation, and a field 218 for storing the start date of the energy saving action program. For example, in the example 210A of the user-specific information record in the table example 210, the user with the user ID “user0001”, the store name “Kokubunji store”, and the address “Tokyo Kokubunji city” The target reduction rate of -10% is 12 months. Further, as a guideline, it shows that the target reduction amount of annual power consumption is set to 200,000 [kWh].

  Instead of the target reduction rate, a target usage rate of power consumption (target usage rate) may be used. In that case, it is used as target usage rate = 1 + target reduction rate.

  The power usage table 220 includes a field 221 that stores a user ID for identifying a user, a field 222 that stores a billing date of usage, a field 223 that stores a usage period, and a field 224 that stores the number of days used. , A field 225 for storing the usage amount, and a field 226 for storing the billing amount. For example, in the example 220A of the power usage amount record in the table 220, the user with the user ID “user0001” indicates that the usage amount in the billing date April 2010 is 133, 900 [kWh].

  The eco-behavior card table 230 includes a field 231 for storing a user ID for identifying a user, a field 232 for storing a category name that is a classification of the energy-saving action, and an eco-action card ID for identifying an energy-saving action (hereinafter referred to as a card ID). A field 233 for storing the energy saving action, an eco action field 234 for storing the contents of the energy saving action, a reduction amount field 235 for storing the power consumption reduced by the implementation of the energy saving action, and a day in which the energy saving action can be recorded. The field 236 stores the limit number of times, and the field 237 stores a determination condition such as the date and time when the energy saving action is output as advice.

  For example, in the example 230C of the eco-behavior card record, the user with the user ID “user0001” has the energy-saving action “reducing the driving time by 1 hour before opening” for the category “air conditioner”, the card ID “AC-1”, and the power usage The amount reduction amount “41” kWh indicates that there is no particular limit.

  For example, in the example 230D of the eco action card record, the user with the user ID “user0001” has the energy saving action “turn off unnecessary lighting” regarding the category “lighting”, the card ID “LC”, and the power consumption reduction amount “51”. “KWh”, the limit count is once a day, and the determination condition for outputting the energy saving action advice is “12:00”, that is, 12:00.

  The event information table 240 includes a field 241 for storing a user ID for identifying a user, a field 242 for storing a category name that is a classification of event information, a field 243 for storing an event ID for identifying event information, and event information. And a field 244 for storing the contents of.

  For example, in the event information record example 240A, the user with the user ID “user0001” indicates that the event information “rain or cloudy” regarding the category “weather” is the event ID “ERC”.

  FIG. 3 shows an example 300 of the memory 102. An example 300 of the memory 102 includes a CO2 emission coefficient storage area 310 and a target value storage area 320.

  The CO2 emission coefficient storage area 310 includes a field 311 for storing a user ID for identifying a user, a field 312 for storing a light heat type, and a field 313 for storing a CO2 emission coefficient for each light heat type. These emission factors are assumed to use numerical values provided by electric power companies, gas companies, water bureaus, etc. that supply electricity, gas, tap water, etc. to the user's store or residence. In the case where a device capable of self-power generation such as a solar power generation device or a fuel cell is installed in a store or a residence, an emission coefficient can be set independently.

  For example, in the example 310A of the CO2 emission coefficient record, it is shown that the electric CO2 emission coefficient is “0.339” kg−CO2 / kWh for the user with the user ID “user0001”.

  In this way, by managing the CO2 emission coefficient for each user, the CO2 emission amount suitable for the user can be calculated according to the amount of light heat used.

  The target value storage area 320 includes a field 321 for storing a user ID for identifying a user, a field 322 for storing the target year, a last year actual value field 323 for storing the actual value of the same month of the previous year, and a target The field 324 stores the year / month target value and the field 325 stores the cumulative target value.

  For example, in the target value record example 320A, for the target year “April 2011” of the user with the user ID “user0001”, the last year actual value (reference usage per day) is “4463” kWh / day, The daily use target value (target usage amount per day) is “4017” kWh / day, the daily reduction target value (target reduction amount per day) is “446” kWh / day, and the cumulative target value is 1 at the beginning of the month. Day (cumulative target value 1) is “446” kWh, 10th (cumulative target value 2) is “4460” kWh, 20th (cumulative target value 3) is “8920” kWh, and the last day (cumulative target value 4) is “ 13380 ”kWh.

  Thus, by setting the cumulative target value every 10 days from the first day and on the last day, the cumulative target value 2 from the cumulative target value 1 is “early”, the cumulative target value 3 is set to “mid” from the day after the cumulative target value 2, From the next day of the cumulative target value 3, the cumulative target value 4 can be classified into three periods, “late”, and can be easily used as a reference when evaluating energy saving behavior, that is, a weight reduction pace.

  FIG. 4 shows an example 400 of the knowledge database 119. The knowledge base example 400 includes a guidance knowledge table 410 and an event determination knowledge table 420.

  The instruction knowledge table 410 includes a field 411 that stores a user ID for identifying a user, a field 412 that stores information on a point of interest indicating a category of instruction text, and a field 413 that stores a conditional expression for generating an instruction sentence. And a field 414 for storing a guidance sentence to be presented when the conditional expression is matched.

  For example, in the case of the instruction knowledge record 410A, when the cumulative reduction amount TEE is equal to or less than the cumulative target value at the end of the month (same as the cumulative target value 4) OTEE, that is, when the target value is not exceeded, “the target value has been cleared. We store instruction knowledge data to present instruction sentence "let's do our best in condition".

  Thus, the continuation of the energy saving action can be supported by comparing the cumulative reduction amount and the cumulative target value to evaluate the progress of the power reduction amount and presenting the guidance text.

  Further, for example, in the case of the instruction knowledge record 410B, when the cumulative reduction amount TEE is equal to or less than the cumulative target value OTEE and the early weight loss pace DP1 is smaller than the late weight loss pace DP3, that is, the early weight loss pace is better than late. , “Knowledge in the second half, but the goal in the first half is achieved.” Instruction knowledge data for presenting the instruction sentence is stored.

  Further, for example, in the case of the instruction knowledge record 410C, when the cumulative reduction amount TEE is larger than the cumulative target value OTEE and the late weight reduction pace DP3 is smaller than the early weight reduction pace DP1, that is, exceeds the target value, but from the beginning. However, when the weight loss pace in late is better, store instructional knowledge data to present the instructional sentence “I could not achieve my goal, but I did my best in the second half. I will continue to do my best at this pace.” Yes.

  In this way, by using not only the cumulative reduction target value but also the weight reduction pace that shows the progress of the power reduction amount, the instruction sentence will change according to the target achievement status and the weight reduction pace, so present an appropriate message Because it is possible to provide guidance that praises more widely, it is possible to maintain motivation and improve continuity awareness.

  Further, for example, in the case of the instruction knowledge record 410D, the cumulative reduction amount TEE is larger than the cumulative target value OTEE, and the average value AVE (EAR) of the implementation rate EAR of the energy saving action is 1 or more, that is, the target value is exceeded, but the energy is saved. When the action exceeds the target of the implementation rate of 1 per day, the instruction knowledge data to present the instruction sentence “I could not achieve the target but the energy-saving action is more than the target. Is stored.

  In this way, by using not only the target value of cumulative reduction amount but also the implementation rate that shows the implementation status of energy saving action, even if power consumption cannot be reduced, energy saving action can be evaluated appropriately, so motivation Can be maintained and can support continuation.

  The event determination knowledge table 420 includes a field 421 for storing a user ID for identifying a user, a sensor determination knowledge field 422 for storing sensor information such as power and temperature, and a linkage determination for storing information from a linkage device / linkage system. Knowledge field 423, time determination knowledge field 424 for storing information on time such as duration and target period, and event corresponding to event information output as a result of determination based on the determination knowledge in fields 421 to 423 The field 425 stores an ID and a remarks field 426.

  For example, in the event determination knowledge record 420A, when the standard deviation DEEσ (60) of power usage per minute for 60 minutes is smaller than a preset constant C1, that is, when the power usage does not vary for one hour, The ID “EPC” is output.

  In addition, for example, the event determination knowledge record 420B has a power usage amount DEEm per minute from “7/1 (July 1st)” to “9 / E (September last day)” based on a preset constant C2. If the temperature is higher and the temperature is higher than 20 ° C. for 60 minutes, the event ID “EACw” is output.

  Further, for example, the event determination knowledge record 420C outputs the event ID “ERC” when “Rain (rain)” or “Cloudy” is determined based on the weather information acquired by the weather information acquisition unit 104. Is done.

  Further, for example, in the event determination knowledge record 420D, when the number of customers is 1000 or more based on the number of customers Cs acquired from 170 POS systems, the event ID “ECR” is output.

  As described above, by using the event determination knowledge table, it is possible to easily construct knowledge for determining event information according to sensor information, time information, and link information of link devices and link systems.

  FIG. 5 shows an example 500 of the data storage database 118. The data storage database example 500 includes a sensor data storage table 510, an implementation record data storage table 520, and an implementation record summary table 530.

  The sensor data accumulation table 510 includes a field 511 for storing a user ID for identifying a user, a field 512 for storing date and time, and a field 513 for storing sensor values such as date and time electric energy and temperature. The table 510 stores sensor data every minute, but can be set every 30 minutes, every hour, or the like.

  For example, the sensor data record 510A indicates that the electric energy per minute on July 9, 2011 at 23:31 is 10 [kWh] for the user with the user ID “user0001”.

  The execution record data accumulation table 520 includes a field 521 for storing a user ID for identifying a user, a field 522 for storing a date and time, and a field 523 for storing a card ID and an event ID for identifying an eco action performed at the date and time. And a field 524 for storing an input flag for determining whether the card ID or event ID is input by the user (input flag “user”) or registered by the system (input flag “system”). The

  For example, the implementation record data record example 520A means that the user ID “user0001” entered an eco-behavior corresponding to the card ID “AC” at 11:31 on July 9, 2011.

  Further, for example, the execution record data record example 520B means that the card ID “AC-1” of the user ID “user0001” is registered by the present system at 14:03 on July 9, 2011.

  The implementation record summary table 530 stores a field 531 for storing a user ID for identifying a user, a field 532 for storing a date, a field 533 for storing a total value of power usage for the date, and an average temperature for the date. A field 534, a field 537 for storing an execution record of the energy saving action performed by the user, a field 538 for storing a total value of the power reduction amount calculated from the execution record as a guideline of the electric energy reduced by the energy saving action, The field 539 for storing the implementation rate of the energy saving action, the field 540 for storing the achievement level of the energy saving action calculated from the target usage amount and the implementation rate for the day, the field 541 for storing the implementation record of the event, and the user And a field 542 for storing the input comment text.

  For example, in the implementation record data record 530B, for the user with the user ID “user0001”, on July 10, 2011, the power usage amount for that day is 4112 [kWh], and the implementation record of the energy saving action is “SC: 1”. “AC: 1”, “AC-1: 2”, and “LC: 1” indicate that the amount of power reduced by the implementation record is −235 [kWh].

  Next, the operation of this system will be described using a flowchart.

  FIG. 6 is a flowchart showing the operation when the data server 100 is used for the first time. First, the control unit 101 executes Step 601 for inputting user information and the like.

  FIG. 10 shows a screen example 1000 of the input / output terminal 120 when the user inputs user information in step 601 when the user participates in the energy saving action program. The example screen 1000 includes a unique information input area 1010, a usage information input area 1020, and a target setting area 1030.

  The user inputs user unique information such as a name, password, and address in the unique information area 1010.

  In addition, referring to information such as the billing date, usage amount, usage period, and usage days described in the past bills, the annual selection box 1021 and the monthly selection box 1022 are displayed in the usage amount information input area 1020. Select the target year and month, and enter information such as power consumption.

  In the target setting area 1030, the implementation period and target reduction rate of the energy saving action program are input.

  When the user presses the registration button 1040, the control unit 101 stores the input unique information, the implementation period, and the target reduction rate in the user information table 210. In addition, the control unit 101 activates the power usage amount acquisition unit 105 and stores information such as the usage amount in the table 220.

  Next, the control unit 101 activates the weather information acquisition unit 104 and acquires local weather information from weather data observation points such as a weather station, a weather station, and AMeDAS that are closest to each other based on the input address information. Step 602 is executed. For example, in the case of the user with the user ID “user0001”, the address is “Kokubunji-shi, Tokyo”, and the closest observation point is “Fuchu”, so the weather information is acquired from that observation point. As a result, even when the prefectures are different, it is possible to use observation point information having similar weather conditions, and thus it is possible to acquire more accurate weather information.

  Next, the control unit 101 activates the period target calculation unit 109, and based on the implementation period and target reduction rate information input in step 601, the power consumption of the previous year that is the target during the implementation period, and the implementation Step 603 for calculating the target value during the period is executed. Specifically, the total power consumption is calculated as the total power consumption by extracting the monthly power usage for the period corresponding to the number of months of the implementation period from the same month of the previous year at the first use, and adding up the total power usage. The absolute value of the value obtained by multiplying the power consumption by the target reduction rate is calculated as the reduction target value. The total power consumption and the reduction target value are displayed in “previous year” and “target” in the target setting area 1020 of the screen example 1000, respectively, and stored in the field 216 and the field 217 of the table 210, respectively.

  Also, various target values for the implementation period are calculated based on the usage amount and usage days for each billing month extracted from the table 220 and target reduction rate information, and stored in the area 320. For example, in the case of the target value record example 320A, from the usage amount “133900” kWh and the number of usage days “30” days of the power usage amount record example 220A corresponding to the same month of the previous year of the target year “April 2011” The actual value of last year per day (reference usage amount BEE) “4463” kWh / day is calculated. Moreover, the target reduction rate (target reduction amount OEA) “446” kWh is calculated by multiplying the last year actual value per day by the target reduction rate (target reduction pace ODP) “−10”%. Further, the daily reduction target amount is subtracted from the daily reduction actual value to calculate the daily usage target value (target usage amount OEE) “4017” kWh.

  Further, the reduction target value per day is multiplied by the number of days, and the cumulative target value 4 is calculated from the cumulative target value 1. For example, since the cumulative target value 3 is the cumulative value of the target value for 20 days from the first day to the 20th day, a value “8920” kWh obtained by multiplying the target reduction value per day by 20 is calculated. Become.

  In this embodiment, the target value is calculated with the decimal part omitted, but it may include the decimal part. This completes the operation when the data server 100 is used for the first time.

  FIG. 7 shows a flowchart representing the operation of the data server 100 when determining user behavior. First, the control part 101 starts the user action determination part 110, and performs step 701 which reads sensor data.

  Next, the user behavior determination unit 110 executes Step 702 for reading cooperation data.

  Next, the user behavior determination unit 110 performs step 703 for determining event information using the determination knowledge stored in the event determination knowledge table 420 based on the sensor data and the cooperation data read in steps 701 and 702. Run.

  Next, the user behavior determination unit 110 executes Step 704 based on the event information determined in Step 703 to determine the presence / absence and number of times of the energy saving behavior as the implementation record of the eco behavior card.

  Next, the user behavior determination unit 110 executes Step 705 in which the event information determined in Steps 703 and 704 and the eco behavior card are stored in the implementation record data table 520 of the data accumulation database 500.

  Next, the user behavior determination unit 110 periodically determines whether or not to end (for example, every minute). If it is determined not to end, the user behavior determination unit 110 repeatedly executes from step 701.

  For example, when the customer information can be acquired from the POS system of the linkage system 170, the number of customers (Cs) is extracted from the acquired customer information. If the customer information is equal to or greater than the threshold (C3), the event with the event ID “ECR” is detected in step 703. The information is determined and stored in step 705 as in the execution record data example 520D of the execution record data table 520.

  In addition, for example, in summer (for example, from July to September), the power consumption per minute measured by the power sensor connected to the air conditioner is larger than a preset threshold (C2) and measured by the environmental sensor. If the state where the temperature per minute is 28 ° C. or less continues for 60 minutes, the event information of the event ID “EAC” is determined in step 703 and stored in the execution record data table 520 in step 705. .

  As described above, it is possible to automatically register event information by determining an action using the event determination knowledge table.

  Further, for example, when the power consumption for one minute measured by the power sensor connected to the air conditioner is smaller than a preset threshold (C1) and the state continues for 60 minutes, that is, the air conditioner is one hour. If it is determined that it is not used, event information of event ID “EAC-1” is determined in step 703, and it is determined in step 704 that there is an energy saving action of eco-action card ID “AC-1”. Therefore, in step 705, the execution record data table 520 stores the execution record data example 520B.

  As described above, it is possible to automatically register energy saving action (eco action card) information by making an action determination using the event determination knowledge table.

  FIG. 8 is a flowchart showing the operation of the data server 100 at the time of execution record input. First, the control unit 101 executes step 801 for inputting daily implementation records.

  FIG. 11 shows a screen example 1100 of the input / output terminal 100 when the user inputs a daily implementation record of the energy saving action program in Step 801. This screen example 1100 includes a date selection box 1110 for selecting a target date, and tabs 1120 to 1140 for selecting types of implementation records to be input. In the screen example 1100, the eco action execution input tab 1130 is selected.

  When the eco action implementation input tab 1130 is selected in step 801, the control unit 101 displays an area for inputting an eco action implementation record. Here, in the energy saving action program, the user inputs an execution record of an energy saving action (hereinafter referred to as an eco action) that is executed every day in order to reduce power consumption.

  The screen example 1100 includes a column 1131 for selecting and inputting the executed eco-behavior, a column 1133 for displaying the content of the eco-behavior, and the daily power consumption that can be reduced by the implementation of the eco-behavior (hereinafter referred to as power reduction amount). ), A column 1132 for displaying the number of executions of eco-behavior, and a reduction amount of power usage for each eco-action card according to the number of executions of eco-behavior (hereinafter referred to as implementation reduction amount). Column 1135, an area 1136 for displaying the total value of all eco-action implementation reduction amounts (hereinafter referred to as implementation total value), and an area for displaying the remaining reduction amount necessary to achieve the daily target reduction amount 1137. When the user executes an action for reducing the power consumption, the user can input an implementation record related to the eco action by clicking the check box in the column 1131. In addition, when the same eco action is executed a plurality of times, the execution record can be input by clicking the check box for the number of times.

  At this time, the control unit 101 reads the eco action card information stored in the execution record data table 520 of the data storage database 500 and displays it in the screen example 1100 in advance. For example, in this embodiment, since the eco action card ID “AC-1” 520B is registered, the eco action card “reducing the air conditioner for one hour” 1130C is automatically input. This not only shortens the input time, but also prevents forgetting to input.

  Also, even if the automatically entered implementation status is not correct, it can be corrected by re-inputting, so that the implementation status can be recorded more accurately.

  When the implementation record is input, the implementation reduction amount and the implementation total value are calculated according to the input result and displayed on the screen. For example, in the case of the screen example 1100, the eco action “not over packed in the showcase” 1130A that can reduce the power consumption of 20 [kWh] by one action is performed as one execution record. -20 [kWh] is displayed as the reduction amount of the power consumption of this eco action.

  In addition, 1 action for eco-friendly activities “Do not overload the showcase”, 1 time for “control the temperature appropriately”, 2 times for “reducing the air conditioner for 1 hour”, and 1 time for “turn off unnecessary lighting” Since it has been input, the execution total value “−235” is displayed.

  Also, since the target daily reduction amount is 446 [kWh] and the total implementation value is “−235”, “211” is displayed as the remaining reduction amount.

  Thus, since the remaining reduction amount is displayed by the implementation input of energy saving action, it becomes possible to grasp | ascertain the energy saving action required on the day.

  In step 801, when the event execution input tab 1140 is selected, the control unit 101 displays an area for inputting an event execution record.

  FIG. 12 shows a screen example 1200 when an event execution record is input. This screen 1200 includes a column 1241 for inputting the event implementation status and a column 1242 for displaying the event type. When there is a phenomenon or event corresponding to the type of event, the user can input an implementation record related to the event by clicking a check box in the column 1241.

  For example, when the weather is rainy or cloudy, the event “rainy or cloudy” 1240A is clicked and entered as the event implementation status.

  At this time, the control unit 101 reads the event information stored in the execution record data table 520 of the data storage database 500 and displays the event information in the screen example 1200 in advance. For example, in this embodiment, since the event ID “ECR” 520D is registered, the event “many customers” 1240B is automatically input. This not only shortens the input time, but also prevents forgetting to input.

  If the comment input tab 1150 is selected in step 801, the control unit 101 displays an area for inputting a comment record.

  FIG. 13 shows a screen example 1300 when inputting a comment record. This screen 1300 is configured with an area 1351 for inputting a sentence as a reason or excuse for not being able to implement, and as a praise for complimenting what has been implemented. In the screen example 1300, it can be seen that “Today, I was working overtime until late at night” was entered.

When the registration button 1160 is selected in step 801,
The control unit 101 executes step 802 for storing the execution record input in step 801 in the data storage database 118. For example, in the case of the recording input from the screen example 1100 to the screen example 1300, it is stored as the record 30B.

  Next, the control unit 101 activates the display screen generation unit 114 and executes Step 803 for generating a display screen.

  FIG. 9 is a flowchart showing the operation of the display screen generation unit 114.

First, the display screen generating unit 114 executes Step 901 for reading out the last year actual value of the daily power consumption as the target day as a reference value (reference usage amount per day) BEE. Next, the display screen generation unit 114 executes Step 902 for reading out the actual value REE of the daily power consumption that is the target day. Next, the display screen generation unit 114 performs Step 903 of calculating the reduction amount DEE of the daily power consumption that is the target day from the difference between the reference value BEE and the actual value REE, using Equation 1.
(Equation 1)
DEE = REE-BEE [kWh]
Next, the display screen generation unit 114 uses Formula 2 to add the reduction amount DEE from the start date BDT to the target date ODT, and executes Step 904 to calculate the cumulative reduction amount TDEE.
(Equation 2)
ODT
TDEE = ΣDEE (n) [kWh]
n = BDT
When calculating the cumulative reduction amount TDEE for each month, BDT may be the first day of the same month as the target date, and ODT may be the date of the target date. Thereby, the cumulative reduction amount TDEE for the same month as the target date can be calculated and used.

  Next, the display screen generation unit 114 executes Step 905 for reading out the reduction target value in the target value table 320.

  Next, the display screen generation unit 114 executes Step 906 for reading the implementation record input in Step 701.

Next, the display screen generation unit 114 calculates the implementation rate EAR using Equation 3 based on the reduction target value OEA read in step 905 and the implementation total TEA of the implementation records read in step 906. Execute.
(Equation 3)
EAR = TEA / OEA

Next, the display screen generation unit 114 executes Step 908 of calculating the achievement degree EAD using Expression 4.
(Equation 4)
EAD = 2 (however, EAR ≧ 1)
1 (however, 0 <EAR <1)
0 (however, EAR ≦ 0)

Here, when the achievement level EAD is 0, 1, or 2, it means that “x”, “Δ”, or “◯” is displayed.

  Next, the display screen generation unit 114 executes Step 909 for generating and outputting a display screen based on the target value OEE, the actual value REE, the cumulative reduction amount TDEE, the achievement level EAD, and the like.

  Next, the control unit 101 executes Step 804 for outputting the display screen generated in Step 803 to the input / output terminal 120.

  FIGS. 16 to 18 and FIG. 21 show screen examples of the input / output terminal 210. Each screen example will be described later.

In step 903, when calculating the reduction amount DEE of the daily power consumption, instead of the reference value BEE, as shown in Equation 5, the usage target value of the daily power usage on the target day (per day) Target usage) OEE can also be used. Thereby, continuation can be supported while grasping the progress of the reduction amount with respect to the target value.
(Equation 5)
DEE = OEE-REE [kWh]
In this system, in order to support the continuation of the user's energy-saving behavior, an e-mail is generated and transmitted to the user at regular intervals. In this embodiment, as a fixed period, “season” divided every 10 days from the first day to the end of the month (that is, “early” from the first day to the tenth day, “mid” from the eleventh day to the tenth day, 21 days Use "Late" from the eye to the last day.

  This makes it easy to understand the progress up to the end of the month because one month is divided into three equal periods. In particular, even if the progress to mid-term is not good, approximately 1/3 of the days remain until the end of the month, so the improvement of energy-saving behavior can show the possibility of achieving the target and the effect of promoting the energy-saving behavior Can be expected.

  When the start date is not the first day of the month, the start date to the day before the start date of the next month are divided every 10 days, and are designated as early, mid, and late respectively.

  In this embodiment, “season” is used as a fixed period, but “week” every 7 days, “half” every 15 days (that is, “first half” from the first day to the 15th day, and “the first half” from the 16th day to the last day) Can also be used. This makes it possible to support the continuation of energy-saving behavior because the progress is regularly known even when the company is on a holiday every weekend.

  FIG. 22 shows an example 2210 of an instruction knowledge table when generating an early message as another example of the instruction knowledge table 410. This table example 2210 includes a field 2211 for storing a user ID for identifying a user, a point of interest field 2212 for storing a category of a conditional expression for generating a guidance sentence, and a conditional expression field 2213 for storing a conditional expression. , A guidance sentence field 2214 for storing a guidance sentence to be presented when the conditional expression is matched, and a priority field 2215 for storing a priority.

  For example, in the teaching knowledge record example 2210B, when the cumulative reduction amount TEE1 at the beginning is equal to or less than the cumulative target value OTEE1 and the reduction pace DP1 at the beginning is smaller than the reduction pace DP (-1) of the whole last month (that is, the cumulative reduction amount at the beginning of the month) If the goal has been achieved and the pace of weight loss in the early months is better than the weight loss rate of the entire month last month), a statement that focuses on the weight loss pace is "the goal is clear in the beginning. It is better than the pace of weight loss last month. "Let's keep pace and do our best".

  Further, for example, in the instruction knowledge record example 2210E, the cumulative reduction amount TEE1 at the beginning is larger than the cumulative target value OTEE1 and the reduction pace DP1 at the beginning is smaller than the reduction pace DP (−1) of the whole last month (that is, at the beginning of the month). The cumulative reduction amount could not achieve the target, but the early weight loss pace is better than the overall weight loss pace last month), a statement focusing on the weight loss pace "In the beginning, the target was exceeded, but the weight loss The pace is -15% better than last month. Let's continue to do this. ”(In this case, the reserved word [DP1] written in the guidance text field is the weight loss pace DP1“- 15% ". The same replacement process is performed for other reserved words described in the instruction text field (the point of interest surrounded by []). It is shown that.

  In this way, by using not only the cumulative reduction target value but also the weight reduction pace that shows the progress of the power reduction amount, the instruction sentence will change according to the target achievement status and the weight reduction pace, so present an appropriate message Because it is possible to provide guidance that praises more widely, it is possible to maintain motivation and improve continuity awareness.

  Also, for example, in the example 2210D of the teaching knowledge record, there is a day when the early cumulative reduction amount TEE1 is larger than the cumulative target value OTEE1 and the early energy saving action implementation rate EAR is 1 or more (that is, the early cumulative reduction amount) Was not able to achieve the target, but energy saving action was carried out more than the target), the guidance sentence focused on energy saving action "I have exceeded the target in the beginning, but it is possible to recover. If you continue to save energy even if you exceed the target, you will be closer to the target. First, look back on your daily actions and start with what you can do. "

  In this way, by using not only the target value of cumulative reduction amount but also the implementation rate that shows the implementation status of energy saving action, even if power consumption cannot be reduced, energy saving action can be evaluated appropriately, so motivation Can be maintained and can support continuation.

  FIG. 23 shows an example 2310 of an instruction knowledge table when a mid-message is generated as another example of the instruction knowledge table 410. This table example 2310 includes a field 2311 for storing a user ID for identifying a user, a point of interest field 2312 for storing a category of a conditional expression for generating a guidance sentence, and a conditional expression field 2313 for storing a conditional expression. , A guidance sentence field 2314 for storing a guidance sentence to be presented when the conditional expression is matched, and a priority field 2315 for storing a priority.

  For example, in the example 2310A of the teaching knowledge record, when the cumulative reduction amount TEE1 in the beginning is equal to or less than the cumulative target value OTEE1, and the cumulative reduction amount TEE2 in the middle is equal to or less than the cumulative target value OTEE2 in the middle (that is, cumulative from the beginning to the middle) (If the reduction amount has achieved the target), the guidance text that focuses on the continuity of the target achievement status will be generated: “Target clear until mid. Let's do our best until the end of the month.” .

  Further, for example, in the instruction knowledge record example 2310D, when the cumulative reduction amount TEE1 in the beginning is larger than the cumulative target value OTEE1, the cumulative reduction amount TEE2 in the middle is equal to or less than the cumulative target value OTEE2 in the middle (that is, cumulative reduction in the beginning). If the amount does not meet the target but the cumulative reduction amount reaches the target in the middle) and the midweight weight loss pace is smaller than the early weight loss pace (ie, the midweight weight loss pace is the early weight loss pace) In the case of improvement, the guidance statement focused on the variability of the goal achievement status and the variability of the weight loss pace. “We could not achieve the goal in the beginning, but the weight loss pace improved to [DP2]% in the middle. The goal is clear. Let's do our best until the end of the month. "

  In this way, by using the continuity and variability of points of interest such as goal achievement status and weight loss pace, feature points to be noticed can be appropriately extracted from the beginning of the month to the middle of the month, so more appropriate guidance sentences were used. Messages can be presented and continuity awareness can be improved.

  In particular, the variability in the point of interest should be evaluated in a good direction (eg, as in Example 2210D, the past (early) was not achieved, but the present (mid) was able to achieve the target, and mid was better than early. If the weight loss pace has been improved, etc.), a message that praises (praises) the change can be generated, and a message using a more effective instruction can be presented. Can be improved.

  Further, for example, in the instruction knowledge record example 2310J, when the cumulative reduction amount TEE1 in the beginning is larger than the cumulative target value OTEE1 and the cumulative reduction amount TEE2 in the middle is also larger than the cumulative target value OTEE2 in the middle (that is, cumulative in both early and middle). If the amount of reduction does not meet the target) and the implementation rate EAR2 of mid-term energy conservation action is larger than the implementation rate EAR1 of early-stage energy conservation action (that is, mid-term energy conservation action is better than the early energy conservation action) ), Focusing on the continuity of goal achievement status and the variability of energy-saving behavior, “The goal is exceeded in the middle, but the energy-saving behavior has improved from the beginning. Good work. "Look back on the behavior of time and aim for the goal."

  In this way, by using the implementation rate and degree of achievement indicating the implementation status of energy conservation actions as well as the target achievement status of cumulative reduction, energy conservation actions can be evaluated appropriately even if the amount of power cannot be reduced. So you can maintain motivation and support continuation.

  FIG. 14 is a flowchart showing the operation of the data server 100 when processing for generating a seasonal message is performed. First, the control unit 101 executes Step 1401 for determining whether it is the end of the season. When it is determined that it is not the end of the season, the control unit 101 ends this process.

  If it is determined in step 1401 that it is the end of season, the control unit 101 determines the target value, the actual value, the weather information based on the user ID corresponding to the customer information input in step 1401 and the target monthly information. , Steps 1402 to 1405 for reading the execution record are executed.

  Next, the control unit 101 activates the target achievement determination unit 112 and executes Step 1406 for determining the achievement status based on the information read in Steps 1402 to 1405.

  Next, the control unit 101 activates the period pace calculation unit 113, and based on the information read in steps 1402 to 1405, the progress rate (period pace) for each fixed period, here the seasonal reduction rate ( Step 1407 of calculating (weight reduction pace) is executed.

Specifically, assuming that the weight loss pace DP1 at the beginning, the weight loss pace DP2 at the middle, and the weight loss pace DP3 at the end, respectively, Equations 6 to 8 are obtained.
(Equation 6)
DP1 = DEE1 / BEE1
However, the amount of reduction in the beginning [kWh]: DEE1 = REE1-BEE1

10
Early reference value [kWh]: BEE1 = Σ BEE (n)
n = 1

10
Actual value [kWh] at the beginning: REE1 = Σ REE (n)
n = 1
(Equation 7)
DP2 = DEE2 / BEE2
However, the amount of reduction in the middle [kWh]: DEE2 = REE2-BEE2

20
Middle reference value [kWh]: BEE2 = Σ BEE (n)
n = 11

20
Mid-term results [kWh]: REE2 = Σ REE (n)
n = 11
(Equation 8)
DP3 = DEE3 / BEE3
However, late reduction amount [kWh]: DEE3 = REE3-BEE3

Reference value [kWh] at the end of the last day: BEE3 = Σ BEE (n)
n = 21

Actual value [kWh] at the end of the last day: REE3 = Σ REE (n)
n = 21

However, since the amount of reduction and the actual value in the middle and the end cannot be calculated at the end of early days, the amount of reduction and the actual value are predicted based on the amount of reduction, the actual value, and the pace of weight loss in the early days.

  Similarly, since late-term reductions and actual values cannot be calculated at the end of mid-term, late-term reductions and actual values are predicted based on mid-year reductions, actual values, and early and mid-term reduction rates.

For example, at the end of mid-term, a predicted value (cumulative predicted value) PTEE of the cumulative reduction amount at the end of the month (that is, a predicted value PTEE3 of the cumulative reduction amount at the end of late) is calculated as shown in Equation 9 based on the mid-term weight loss pace. .
(Equation 9)
PTEE = TEE2 + DP2 × (Last day -20)
Thereby, since it can be predicted whether or not the goal can be achieved by the end of the month, it is possible to generate a guidance sentence for achieving the goal.

  For example, in the example 2310H of the instruction knowledge record, when the cumulative reduction amount TEE1 at the beginning is greater than the cumulative target value OTEE1 and the cumulative reduction amount TEE2 at the middle is greater than the cumulative target value OTEE2 at the middle, the midweight reduction pace DP2 is the target. Decreasing pace (target reduction rate) If it is smaller than ODP and the cumulative predicted value PTEE is less than or equal to the cumulative target value OTEE (that is, the cumulative reduction amount has not achieved the target continuously in early and mid-term, If the target weight loss pace is exceeded and it is predicted that the target will be achieved at the end of the month if this weight loss pace continues, the guidance sentence that focuses on the continuity of the target achievement status and the predicted value of the cumulative reduction amount However, the rate of weight loss is [DP2]%, which is above the target. Let's equity. "Shows that the guidance statement is generated that. In this way, by using not only the target achievement status and the pace of weight loss, but also using the predicted value of cumulative reduction, it is possible to grasp the goal achievement status by continuing the current energy conservation action, so that motivation can be maintained and continuity awareness can be maintained. Can be improved.

  As the period pace, the usage rate (period usage rate) for each period can also be used. In that case, instead of the reduction amount DEE, calculation is performed using the daily power consumption (actual value REE). For example, in the case of the period usage rate DP1 in the beginning, DP1 = REE1 / BEE1 (REE1 and BEE1 are the same as in Equation 7). Thereby, the guidance sentence using the usage-amount can be produced | generated.

  Next, the control unit 101 activates the message sentence generation unit 115, and based on the information read in steps 1402 to 1405, the achievement status determined in step 1406 and the weight loss pace calculated in step 1407, the knowledge database 119. Step 1408 of determining the priority of the message sentence using is performed.

  For example, in the teaching knowledge table example 2200 in FIG. 22, the determination is made according to the priority described in the priority field 2215. In this case, it is determined that the priority is higher in the order of lower priority.

  Thus, by changing the priority according to conditions such as continuity and variability of the point of interest such as the goal achievement status and weight loss pace, an effective message sentence suitable for the conditions can be determined.

  Next, the control unit 101 activates the message sentence generation unit 115, the information read in steps 1402 to 1405, the target achievement status determined in step 1406, the period pace calculated in step 1407, and the determination in step 1408 Based on the priority, step 1409 of generating a message sentence using the knowledge database 119 is executed.

  Next, the control unit 101 activates the mail transmission unit 116 and executes Step 1410 for transmitting an email based on the message sentence generated in Step 1409.

  As a result, the mail is transmitted to the input / output terminal 120 and the portable terminal 180.

  FIG. 15 shows a screen example 1500 of the input / output terminal 120 when step 1410 is executed as an example of the beginning. This screen example 1500 includes a sender name 1510 for identifying a mail transmission source, a mail subject 1520, and a mail text 1530. The mail text 1530 includes a link tag in which a transmission destination name 1531 for identifying a transmission destination of the mail, the message sentence 1532 generated in step 1409, and a link destination to a server where detailed information of the message sentence can be confirmed. 1533.

  The user who has received the mail can view the implementation record during the month and can check the message based on his / her energy saving action, so that the motivation of the energy saving action can be maintained and improved.

  For example, in this example, the message text of the seasonal report is: “In early season, the target was exceeded, but it is possible to recover. Even if the daily target is exceeded, if energy conservation action is continued, it will approach the target. First, look back on your day's actions and start with what you can do. ”

  Also, in the middle, using the teaching knowledge table 2310, as a message message for the seasonal report, “The goal is also exceeded in the middle, but the weight loss pace is 15% or more. If you keep this, you can clear the target at the end of the month. So let's keep this pace. "

  In the end, “Congratulations on achieving the goal. We have achieved our goal from mid to late, especially in late 9 days. Let ’s continue. ”

  Thus, since not only the result of the cumulative reduction amount but also the message text including the progress of the progress of the power reduction amount can be confirmed, the motivation of the energy saving action can be maintained and the continuity awareness can be improved.

  In addition, since an appropriate message text is generated according to the cumulative reduction amount and the implementation status of the energy saving action as in the guidance knowledge record example 2310J using the guidance knowledge table 2310, the progress of the power reduction amount and the energy saving Daily energy-saving actions such as the implementation status of actions are appropriately evaluated and presented as e-mails, so motivation for energy-saving actions can be maintained and continuity awareness can be improved.

  When the user who received the mail clicks the link tag 1533, the link destination to the server is displayed on the input / output terminal 120.

  FIG. 16 shows a screen example 1600 of the input / output terminal 120 as an early example. A screen example 1600 includes a title display area 1610 for displaying the year and month of the target month, a graph display area 1620, a target achievement status display area 1630 for displaying the daily goal achievement status, and an energy saving action (eco action). Eco action status display area 1640 for displaying the achievement degree EAD of the day, target achievement day display area 1631 for displaying the number of days in which the target of the target month has been achieved, and achievement for displaying the number of achievement degree EAD of 1 or more for the target month It is composed of a number display area 1641 and a message area 1650 for displaying the message text of the seasonal report. In the graph display area 1620, the horizontal axis shows the date, the vertical axis shows the cumulative value (cumulative usage amount) of the daily power consumption and the temperature, the cumulative usage amount is indicated by a bar graph 1623, and the temperature is indicated by a line graph 1624. Show. In addition, a target value (cumulative target value) 1621 for daily cumulative usage is shown by a line graph, and a cumulative target value (period target usage) 1622 for each end of the season is shown by a symbol or image such as a square.

  Regarding the target achievement status, “◯” is displayed when the actual value REE on the target day is equal to or greater than the target value OEE of the day, and “X” is displayed when it is less than the target value OEE.

  In addition, with regard to the eco action card implementation record, “○” if it is above the daily target value, depending on the degree of achievement, it was less than the daily target value, but the energy saving action was implemented (that is, the eco action card implementation record) “△” is displayed when there is an energy saving action, and “X” is displayed when the energy saving action is not performed (that is, there is no record of the eco action card).

  In this embodiment, the eco action status (the status of the energy saving action) is indicated by the achievement level EAD “◯”, “△”, “×”, but the execution rate EAR of the energy saving action and the total execution TEA may be displayed. . In the graph display area 1620, the implementation rate EAR and the implementation total TEA may be displayed as a bar graph or a line graph.

  Further, in the screen example 1600, it can be seen that the same message text as the mail message text 1832 is displayed in the message area 1650. In addition, the portion corresponding to the point of interest in the message sentence is displayed highlighted with coloring or a thick frame. For example, in the screen example 1600, the focus corresponding to the focus point “eco-action” used when generating the message “If the energy saving action is continued even if the daily goal is exceeded, it will be close to the target.” It can be seen that the dot display area 1630A is highlighted. Thereby, the content of the message sentence can be confirmed based on the actual data.

  FIG. 17 shows a screen example 1700 of the input / output terminal 120 as an example in the middle. In screen example 1700, the focus point display area 1720A corresponding to the focus point “weight loss pace (mid) DP2” used when generating the message sentence “weight reduction pace is higher than target” is highlighted. I understand.

  FIG. 18 shows a screen example 1800 of the input / output terminal 120 as an example of late. Screen example 1800 corresponds to the point of focus “weight loss pace (mid) DP2 and weight loss pace (late) DP3” used when generating the message sentence “Having worked hard from mid to late.” The point of interest display corresponding to the point of interest “target achievement days” used when generating the point of interest display area 1820A and the message sentence “Especially, the end of day was achieved for 8 days.” It can be seen that the area 1830A is highlighted.

  In this way, by highlighting and displaying the point of interest used when generating a message sentence, the contents of the message sentence can be visualized based on actual data, so that motivation can be made more effectively.

  In addition, since the relationship between energy-saving behavior and power reduction can be visualized in this way, users can compare and refer to daily behavior and results of power reduction, and appropriately grasp the daily implementation status. be able to. Moreover, since the daily implementation record can be referred to in a list, the daily implementation status can be easily grasped.

  As a result, when the energy saving action is properly performed, the power saving effect can be easily grasped as a result of the energy saving action, for example, the power can be reduced, so that the energy saving action can be motivated.

  As described above, the energy conservation action continuation support system according to the present invention appropriately evaluates daily energy conservation actions, such as the progress of power reduction and the implementation status of energy conservation actions, and presents them as e-mails. Can improve continuity awareness.

  In particular, an appropriate message is presented according to the target achievement status during the month and the pace of weight loss indicating the energy reduction process, so the message includes not only the cumulative reduction amount result but also the progress of the power reduction amount. As a result, it is possible to maintain a high level of motivation for energy-saving behavior and further improve continuity awareness.

  FIG. 19 is a flowchart showing the operation of the data server 100 when outputting advice on energy saving behavior to the mobile terminal 180. First, the control unit 101 executes Step 1901 for determining whether or not time is set in the time field 237 of the eco-behavior card table 230. If it is determined that the time has not been set, the control unit 101 ends this process.

  When it is determined in step 1901 that the time has been set, the control unit 101 executes step 1902 for displaying energy-saving action advice on the portable terminal 180.

  FIG. 20 shows a screen example 2000 of the portable terminal 180 when the process of step 1902 is performed. It can be seen that the advice display area 2010 is output as a message together with the time “12:00” when the content of the example 230D of the eco action card “unnecessary lighting is turned off” is set.

  Next, the control unit 101 executes Step 1903 for determining whether or not there is a user input. Here, when the user selects the execution button 2011 or the cancel button 2012 in the advice display area 2010, the control unit 101 determines that there is an input.

  Next, the control unit 101 executes Step 1904 for writing the energy saving action in the execution record data table 520.

  For example, when the execution button 2011 is selected in step 1903, the selected date and time (selected at 12:01 in this embodiment) is displayed in the field 522, as in the example 520E of the execution record data record. The ID “LD” and the number of times “1” are recorded in the field 523 and “user: advice” is recorded in the field 524 as the input flag. When the cancel button 2012 is selected, the number of times “0” is recorded.

  Thus, by displaying the advice according to the set time, it is possible to prevent forgetting to input and to easily input the energy saving action.

  FIG. 21 shows a screen example 2100 of the input / output terminal 120 as another embodiment. In the screen example 2100, the graph display area 2120 shows a graph of the date on the horizontal axis, the power consumption (power consumption), the cumulative value of power reduction (cumulative reduction), and the temperature on the vertical axis. The actual value REE of usage is a bar graph 2123, the daily target value OEE is a line graph, the cumulative reduction amount TDEE is a bar graph 2125 with the origin at the top of the graph, the average temperature is a line graph 2124, and the same date is coaxial Shown to be. Further, the cumulative target value (cumulative reduction target value) 2122 for each season is displayed with a symbol or image such as a square.

  Regarding the target achievement status, “◯” is displayed when the actual value REE on the target day is equal to or greater than the target value OEE of the day, and “X” is displayed when it is less than the target value OEE.

  In addition, with regard to the eco action card implementation record, “○” if it is above the daily target value, depending on the degree of achievement, it was less than the daily target value, but the energy saving action was implemented (that is, the eco action card implementation record) “△” is displayed when there is an energy saving action, and “X” is displayed when the energy saving action is not performed (that is, there is no record of the eco action card).

  Further, for event recording, a check mark “” is displayed in the event status display area 1660 when the event is input.

  Although the event status display area 1660 is omitted in the screen examples 1600, 1700, and 1800, the event status display area 1660 can also be displayed below the eco action status display area 1640 as in the screen example 2100.

  In this way, the relationship between energy-saving behavior and power reduction can be visualized, so that the user can compare and refer to the daily behavior and results of power reduction, and appropriately grasp the daily implementation status. it can. Moreover, since the daily implementation record can be referred to in a list, the daily implementation status can be easily grasped.

  As a result, when the energy saving action is properly performed, the power saving effect can be easily grasped as a result of the energy saving action, for example, the power can be reduced, so that the energy saving action can be motivated.

  In addition, since it can be referred to in a list with event information, even if energy saving actions are implemented, even if the amount of power cannot be reduced as expected due to various factors, the cause can be grasped, so motivation can be maintained and continuation can be maintained. Can help.

  In addition, the graph display using the cumulative reduction amount enables appropriate display even in a small display area as compared with the conventional graph display of the cumulative value of power consumption. For example, in this embodiment, since the target reduction rate is −10%, the cumulative reduction amount can be displayed in a display area of 10% of the cumulative value of the power consumption amount. Therefore, since daily fluctuations in power consumption (variations in reduction) can be grasped in detail even in a small display area, the relationship between the energy saving action and the power reduction can be more easily understood.

  As described above, the visualization using the cumulative reduction amount enables efficient display. Further, even a display device having a small screen size such as a smartphone or a tablet terminal can display efficiently, including display on a single screen and scroll display.

  As described above, the energy saving action continuation support system according to the present invention makes it possible to visualize the relationship between the energy saving action and the power reduction amount, so that it is possible to grasp the fluctuation of the power consumption according to the energy saving action from a bird's-eye view. Motivation for energy-saving behavior becomes possible.

  In addition, when energy saving actions are implemented, even if the amount of power cannot be reduced as expected due to various factors, it can be grasped together with factors that hinder energy saving actions, so that motivation of energy saving actions can be maintained and continuation can be supported.

DESCRIPTION OF SYMBOLS 100 Data server, 101 Control part, 102 Memory, 103 Communication part, 104 Weather information acquisition part, 105 Electricity consumption acquisition part, 106 Action implementation input part, 107 Output part, 108 Monthly target setting part, 109 Period target calculation part 110 user behavior determination unit, 111 cumulative value calculation unit, 112 goal achievement determination unit, 113 period pace calculation unit, 114 message determination unit, 115 message sentence generation unit, 116 mail generation unit, 117 user information database, 119 knowledge database, 118 data storage database, 140 network, 120 input / output terminal installed in store, 180 mobile terminal, 160 power sensor, 150 receiving terminal, 161 environment sensor, 170 linked device / linked system

Claims (9)

A power usage acquisition unit for acquiring the amount of power collected from the power sensor;
A target setting unit that calculates a target reduction rate from the target reduction rate of the target period and the power consumption and target reduction rate of the previous target period;
A period target calculation unit that calculates a target reduction amount at the end of each period as a period target reduction amount, divided into a plurality of periods every predetermined number of days from the first day of the target period;
A cumulative value calculation unit that calculates the total reduction amount from the first day of the target period to the target date as a cumulative reduction amount;
A target achievement determination unit that calculates the achievement status of the target period by comparing the cumulative reduction amount with the period target reduction amount at the end of the period;
A period reduction rate calculation unit that calculates a reduction rate for each period as a period reduction rate;
A message knowledge database that stores judgment conditions for outputting messages for each message sentence;
A message determination unit that determines whether or not the determination condition of the message database is satisfied based on the achievement status of the plurality of consecutive target periods and the period reduction rate for each period;
A message sentence generation unit that generates a message sentence based on the message determined to be compatible by the message determination unit;
And a message output unit that outputs a message generated by the message sentence generation unit. The energy saving action continuation support system according to claim 1,
An energy saving action database storing energy saving action items for suppressing energy consumption, and energy reduction amounts to be suppressed when the items are implemented;
An action execution input unit for inputting an execution result of the energy saving action described in the energy saving action database;
The energy saving action continuation support system, wherein the message determination unit changes a message according to an execution result of the energy saving action for each period. The energy saving action continuation support system according to claim 2,
The action execution input unit accepts an input as event information for an event that becomes an obstacle to energy saving action,
The said message determination part changes a message based on the event information for every period, The energy-saving action continuation support system characterized by the above-mentioned. The energy saving action continuation support system according to claim 1,
The target achievement determination unit calculates a predicted cumulative usage, which is a predicted value of the cumulative usage at the end of the month, based on the latest period usage rate, and compares the predicted cumulative usage with the target usage. Calculate whether or not to achieve as a judgment result,
The energy saving action continuation support system, wherein the message determination unit changes a message according to the determination result. The energy saving action continuation support system according to claim 1,
The message knowledge database has a priority for each message sentence,
The said message sentence production | generation part produces | generates the said message sentence based on the said priority, The energy-saving action continuation system characterized by the above-mentioned. The energy saving action continuation support system according to claim 1,
The said message output part displays the said achievement status with the said message, The energy-saving action continuation system characterized by the above-mentioned. The energy saving action continuation support system according to claim 1,
The message knowledge database has point-of-interest information for each message sentence,
The said message output part displays the said attention point information corresponding to the said message with the said message, The energy-saving action continuation system characterized by the above-mentioned. The energy conservation action continuation support system according to claim 6,
The message knowledge database has date information and temperature information,
The said message output part displays the said date information and the said temperature information with the said achievement status, The energy-saving action continuation system characterized by the above-mentioned. A power usage acquisition unit for acquiring the amount of power collected from the power sensor;
A target setting unit that calculates a target usage amount from the target usage rate of the target period and the power usage amount and the target usage rate of the target period in the past,
A period target calculation unit that calculates a target usage amount at the end of each period as a period target usage amount, divided into a plurality of periods every predetermined number of days from the first day of the target period,
A cumulative value calculating unit that calculates the total usage amount from the first day of the target period to the target date as a cumulative usage amount;
A target achievement calculation unit that calculates the achievement status of the target period by comparing the cumulative usage with the period target usage at the end of the period;
A period usage rate calculation unit that calculates the usage rate for each period as the period usage rate,
A message knowledge database that stores judgment conditions for outputting messages for each message sentence;
A message determination unit that determines whether or not the determination condition of the message knowledge database is satisfied based on the achievement status of the plurality of consecutive target periods and the period usage rate for each period;
A message sentence generation unit that generates a message sentence based on the message determined to be compatible by the message determination unit;
And a message output unit that outputs a message generated by the message sentence generation unit.

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