WO2018033993A1 - Controleur et système de gestion - Google Patents
Controleur et système de gestion Download PDFInfo
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- WO2018033993A1 WO2018033993A1 PCT/JP2016/074151 JP2016074151W WO2018033993A1 WO 2018033993 A1 WO2018033993 A1 WO 2018033993A1 JP 2016074151 W JP2016074151 W JP 2016074151W WO 2018033993 A1 WO2018033993 A1 WO 2018033993A1
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- Prior art keywords
- power
- unit
- advice
- power consumption
- information
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/12—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/58—The condition being electrical
- H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Definitions
- the present invention relates to a controller and a management system that can prompt a user to conduct regular living activities.
- HEMS Home Energy Management System
- HEMS Home Energy Management System
- the home system when managing the energy of a house, it is demanded to accurately grasp power consumption (as an example, transition of power consumption per day). For example, the home system appropriately shifts the operation timing of the device or appropriately changes the energy control of the operating device according to the predicted transition of power consumption. Therefore, the higher the power consumption prediction accuracy, the better the energy efficiency (energy saving) and the more comfortable control for the user.
- power consumption prediction is generally based on past performance (for example, past power consumption measured under the same conditions). Therefore, if the user's lifestyle is established and regular living behavior is performed, the power consumption prediction accuracy is improved. On the other hand, if the user's living behavior varies, the power consumption prediction accuracy decreases, and the home system cannot appropriately perform energy control.
- Patent Literature 1 discloses an invention of a life change detection system that detects a user's life change based on power consumption.
- Patent Document 1 is characterized by detecting a change in the life of the user, and is not very useful in terms of managing the energy of the house. That is, even if the invention of Patent Document 1 is applied to a home system, it has not been able to contribute at all to improve the power consumption prediction accuracy or to optimize energy control.
- the present invention has been made to solve the above-described problems, and an object of the present invention is to provide a controller and a management system that can prompt a user to conduct a regular living behavior.
- a controller for managing power consumption in a house, A power pattern presenting means for comparing and presenting a reference power pattern determined from a living behavior to be a reference and a power consumption pattern measured in accordance with a user's living behavior; Advice notifying means for notifying advice according to a comparison result between the reference power pattern and the power consumption pattern; Is provided.
- the reference power pattern serving as a reference and the power consumption pattern of the user are presented in comparison with each other, and advice according to the comparison result is notified.
- advice according to the comparison result is notified.
- it is possible to prompt the user to conduct regular living activities. In connection with this, it can contribute to improving the prediction accuracy of power consumption or optimizing energy control.
- Schematic diagram showing an example of a contrast image Schematic diagram showing an example of an advice image Flow chart showing an example of power contrast processing
- Schematic diagram showing an example of a judgment table Schematic diagram showing an example of another contrast image
- Schematic diagram showing an example of another advice image Schematic diagram for explaining how the user's lifestyle approaches the standard lifestyle
- the flowchart which shows an example of life style judgment processing
- the block diagram which shows an example of a structure of the controller which concerns on Embodiment 3 of this invention.
- Flow chart showing an example of the reflection rate calculation process
- Flow chart showing an example of power prediction processing
- Flow chart showing an example of shared information notification processing Flow chart showing an example of advice request processing
- the block diagram which shows an example of the whole structure of the management system which concerns on Embodiment 5 of this invention.
- FIG. 1 is a block diagram showing an example of the overall configuration of a home system 1 according to Embodiment 1 of the present invention.
- the home system 1 includes a device 10 that consumes power in a house H, a power measuring device 20 that measures the power consumed by the device 10, and a controller 30 that controls the entire home system 1. Yes.
- the thick line in FIG. 1 indicates the power line PL. That is, electric power can be supplied into the house H from the commercial power source PS via the power line PL.
- a current transformer CT for measuring power is appropriately arranged on the power line PL.
- the dotted line in FIG. 1 indicates the communication line CL. That is, the device 10, the power measuring device 20, and the controller 30 are connected to the home network N1 through the communication line CL.
- the communication line CL (home network N1) is, for example, a wired LAN (Local Area Network) or a wireless LAN.
- the device 10 is a home appliance or facility device arranged in the house H.
- an IH cooker, a microwave oven, an air conditioner, lighting, a refrigerator, a water heater, an electric vehicle, and a television are included.
- the device 10 may include various sensor devices such as a human sensor, for example.
- FIG. 1 shows a state in which two devices 10 are arranged in the house H, but this is for ease of explanation, and the number of the devices 10 can be appropriately changed according to the actual situation of the user. It is.
- the power measuring device 20 includes, for example, a power detection unit 21 and a communication unit 22.
- the power detection unit 21 detects the power (power consumption) consumed by the device 10 using the above-described current transformer CT.
- the communication unit 22 transmits information on the power detected by the power detection unit 21 (that is, power information about power consumption) to the controller 30.
- the controller 30 is, for example, a HEMS (Home Energy Management System) controller.
- the controller 30 communicates with the power measurement device 20 via the communication line CL, and acquires power information about power consumption measured by the power measurement device 20. And the controller 30 controls the apparatus 10 suitably via the communication line CL.
- HEMS Home Energy Management System
- FIG. 2 is a block diagram illustrating an example of the configuration of the controller 30 according to the first embodiment of the present invention.
- the controller 30 includes a communication unit 31, a data storage unit 32, a control unit 33, and a display unit 34.
- the communication unit 31 is a communication unit for connecting to the home network N1 through the communication line CL, for example.
- the communication unit 31 communicates with the device 10 and the power measurement device 20 under the control of the control unit 33.
- the communication unit 31 receives power information (power information about power consumption) sent from the power measurement device 20.
- the communication unit 31 can also perform communication via an external network (external network N2 described later).
- the data storage unit 32 is composed of, for example, a non-volatile semiconductor memory, and stores the power information received from the power measuring device 20. From this power information, for example, power consumption patterns indicating transitions of power consumption for one day in the house H are tabulated.
- the data storage unit 32 stores in advance living behavior information that defines the living behavior (regular daily living behavior) that the user should be based on.
- living behavior information defines the living behavior (regular daily living behavior) that the user should be based on.
- the daily activity details such as getting up, eating, going out, returning home, bathing, and going to bed and the time to perform them are defined in the living behavior information.
- a plurality of types of living behavior information are prepared in advance. For example, when the user is a company employee, there are not only a user who works in a general working time zone, but also a user who works in a time zone shifted early in the morning and a user who works in a time zone shifted in the middle of the night.
- the data storage unit 32 also stores the reference power pattern.
- the data storage unit 32 includes device information (for example, the type and electrical characteristics of the device 10), user information (for example, the number of users and the family structure), and calendar information (for example, the season , Weekdays, holidays, etc., including user schedules).
- device information for example, the type and electrical characteristics of the device 10
- user information for example, the number of users and the family structure
- calendar information for example, the season , Weekdays, holidays, etc., including user schedules.
- the control unit 33 includes, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory), and controls the controller 30 as a whole.
- the control unit 33 includes a power information acquisition unit 331, a reference power setting unit 332, a power comparison unit 333, an image generation unit 334 (power pattern presentation unit 335, advice notification unit 336), and privilege provision. Part 337.
- These functions are realized when the CPU uses the RAM as a work memory and appropriately executes, for example, various programs stored in the ROM (for example, a power comparison processing program described later).
- the power information acquisition unit 331 acquires power information from the power measurement device 20. And the power consumption pattern which shows transition of the power consumption of the day in the house H is totaled from the acquired power information. In other words, the power information acquisition unit 331 adds up the power consumption patterns measured along with the user's daily activities.
- the reference power setting unit 332 sets a reference power pattern as a reference. For example, the reference power setting unit 332 selects a living behavior (living behavior information) to be used as a reference by the user from the data storage unit 32, and sets a reference power pattern determined by the selected living behavior. More specifically, the reference power setting unit 332 refers to the device information, user information, and calendar information stored in the data storage unit 32, and takes into account human factors and device environment factors in the house H, Set the power pattern.
- a living behavior living behavior information
- the standard power pattern to be set includes, for example, time (season, weekday, holiday, etc.), family structure (single life, couple, 2 households, etc.), working hours (early morning work, normal work, late-night work, etc.),
- the device configuration the type and electrical characteristics of the device 10
- it represents the transition of power consumption consumed when the user of the house H performs regular living activities.
- the power comparison unit 333 compares (compares) the set reference power pattern with the measured power consumption pattern. For example, the power comparison unit 333 compares the reference power and the actual power consumption for each unit time, and calculates the degree of matching (matching rate) between the reference power pattern and the power consumption pattern. In calculating the accuracy rate, it is usually required that the reference power and the power consumption match not only the time at which the power peaks occur but also the height of the peaks. Still, the power comparison unit 333 makes the evaluation sweet and high when the time when the power peaks occur coincides and the height of the peaks is lower than the reference power (the power is small). A precision ratio is obtained. That is, if the user performs regular living activities and the power is kept low, the power comparison unit 333 highly evaluates and calculates a high matching rate.
- the image generation unit 334 includes, for example, a power pattern presentation unit 335 and an advice notification unit 336, and generates various images to be displayed on the display unit 34.
- the power pattern presentation unit 335 presents a reference power pattern as a reference and a user power consumption pattern in comparison. Specifically, the power pattern presentation unit 335 generates a comparison image C1 as shown in FIG.
- the reference power pattern reference power consumption indicated by a dotted line
- the power consumption pattern today's power consumption indicated by a solid line
- line graphs these are examples. You may express with another graph.
- the advice notification unit 336 notifies the advice according to the comparison result between the reference power pattern and the power consumption pattern. Specifically, the power pattern presentation unit 335 generates an advice image A1 as shown in FIG. Note that the content of the advice in FIG. 4 is an example, and other content may be used.
- the privilege granting unit 337 grants a privilege according to the conformity rate of the power consumption pattern with respect to the reference power pattern. Specifically, the privilege granting unit 337 grants a coupon or point to the user if the matching rate calculated by the power comparison unit 333 is 0.8 (80%) or more. In addition to this, a coupon or points may be given to the user when a state with a high relevance rate is continued for one week. The information on the given coupons and points may be managed (stored) in the data storage unit 32, or may be transmitted to an external privilege management server (not shown) and managed on the privilege management server side.
- the display unit 34 is, for example, a liquid crystal display device, and displays various information under the control of the control unit 33. Specifically, the display unit 34 displays the comparison image C1 of FIG. 3 generated by the power pattern presentation unit 335 and the advice image A1 of FIG. 4 generated by the advice notification unit 336 on one screen. To do. Note that the display unit 34 may display the comparison image C1 and the advice image A1 separately on separate screens.
- FIG. 5 is a flowchart illustrating an example of the power comparison process executed by the control unit 33. This power comparison process is executed, for example, once a day (for example, at a predetermined time at night).
- control unit 33 counts today's power consumption (step S101). That is, the power information acquisition unit 331 adds up the power consumption patterns indicating the daily power consumption transition in the house H based on the power information acquired from the power measurement device 20.
- the control unit 33 compares the reference power pattern with the power consumption pattern (step S102). That is, the power comparison unit 333 compares the reference power and the actual power consumption for each unit time, and calculates the degree of matching (matching rate) between the reference power pattern and the power consumption pattern.
- the control unit 33 determines whether or not the matching rate is high (step S103). For example, the control unit 33 determines whether the matching rate between the reference power pattern and the power consumption pattern is 80% or more. If the control unit 33 determines that the relevance rate is not high (as an example, it is less than 80%) (step S103; No), the control unit 33 proceeds to step S105 described later.
- step S103 when it is determined that the relevance rate is high (for example, 80% or more) (step S103; Yes), the control unit 33 gives a privilege (step S104).
- the privilege granting unit 337 grants coupons or points to the user.
- the control unit 33 presents the power pattern and notifies the advice (step S105). For example, as shown in the comparison image C1 of FIG. 3 described above, the power pattern presentation unit 335 presents the reference power pattern and the power consumption pattern in comparison, and the power pattern presentation unit 335 displays the above-described FIG. As shown in the advice image A1, advice according to the comparison result is notified.
- the control unit 33 sets a reference power pattern for the next day (step S106).
- the reference power setting unit 332 selects a living behavior (living behavior information) to be used as a reference from the data storage unit 32, and sets a reference power pattern determined by the selected living behavior. More specifically, the reference power setting unit 332 refers to the device information, user information, and calendar information stored in the data storage unit 32, and takes into account human factors and device environment factors in the house H, Set the power pattern.
- the control unit 33 predicts the power consumption of the next day (step S107). For example, the control unit 33 predicts the power consumption pattern of the next day based on the past performance (for example, the past power consumption measured under the same conditions).
- a reference power pattern serving as a reference is compared with a user power consumption pattern, and advice according to the comparison result is notified.
- advice according to the comparison result is notified.
- it is possible to prompt the user to conduct regular living activities.
- it can contribute to improving the prediction accuracy of power consumption or optimizing energy control.
- the privilege is provided to the user when the matching rate between the reference power pattern and the power consumption pattern is high, the user's motivation is increased and regular living behavior is easily maintained.
- FIG. 6 is a block diagram showing an example of the configuration of the controller 30 according to the second embodiment of the present invention.
- the controller 30 includes a communication unit 31, a data storage unit 32, a control unit 43, and a display unit 34.
- the configurations of the communication unit 31, the data storage unit 32, and the display unit 34 are the same as those in the first embodiment described above.
- the data storage unit 32 stores a determination table 321 as shown in FIG.
- the determination table 321 is a table that defines the relationship between the information source and content, and the user's life behavior to be determined. For example, from this determination table 321, when the water heater (apparatus 10) fills up, the user's bathing is determined. Further, when shopping is scheduled in the schedule, it is determined whether the user is out (shopping, absent). As described above, the schedule may be stored in the data storage unit 32 as calendar information, or may be acquired from an external schedule management server (not shown). In addition to this, when the human sensor (device 10) detects a person, the user's home (in-room) is determined.
- control unit 43 functionally includes a power information acquisition unit 331, a reference power setting unit 332, a power comparison unit 333, and an image generation unit 334 (power pattern presentation unit 335, advice notification unit). 336), a privilege grant unit 337, an operation information acquisition unit 431, and a lifestyle-style determination unit 432. That is, in the control unit 43 of the second embodiment, the motion information acquisition unit 431 and the lifestyle determination unit 432 are added to the configuration of the control unit 33 in the first embodiment.
- the operation information acquisition unit 431 acquires operation information of the device 10 arranged in the house H.
- the device 10 includes a sensor device such as a human sensor. That is, as one of the devices 10, when a human sensor is arranged in the house H, the motion information acquisition unit 431 acquires, for example, motion information such as human detection or no human detection from the human sensor. .
- the life style determination unit 432 estimates a user's life behavior and determines a life style into which the estimated life behavior is classified. That is, the life style determination unit 432 estimates the user's life behavior based on the determination table 321 of FIG. 7 described above and the operation information acquired by the operation information acquisition unit 431 and the schedule read from the data storage unit 32. . Then, the lifestyle determining unit 432 determines a lifestyle in which the estimated lifestyle behavior is classified. For example, in the estimated lifestyle behavior, when the bedtime is later than the reference time (a certain range of time), the lifestyle-style determination unit 432 determines that the lifestyle is “night stay”.
- the lifestyle-style determination unit 432 determines that the lifestyle is “morning sleep”. In addition, in the estimated lifestyle behavior, when eating out is more than the reference number, the lifestyle determining unit 432 determines that the lifestyle is “excessive eating out”.
- the power pattern presentation unit 335 generates and presents a comparison image C2 as shown in FIG.
- the reference living behavior LA1 is compared with the current living behavior LA2.
- the living behavior LA1 indicates a regular living behavior that should be used as a reference
- the living behavior LA2 indicates the user's living behavior estimated by the living style determination unit 432.
- the lifestyle-style determination unit 432 determines that the user's lifestyle is “morning sleep” from the lifestyle behavior LA2.
- the advice notification unit 336 generates an advice image A2 as shown in FIG. 9 and notifies the advice. That is, the advice notification unit 336 notifies improvement advice for improving the user's lifestyle. For example, as shown in FIG. 10, the advice notification unit 336 should be used as a reference when the user's lifestyle is determined to be one of “night staying”, “morning sleep”, and “excessive eating out”. In order to make it closer to the lifestyle, the improvement advice according to each is notified. At that time, the advice notification unit 336 notifies improvement advice for gradually approaching the lifestyle to be a reference.
- the advice notification unit 336 suddenly Instead of advising the improvement to the hour wake up, the first step is to advise the improvement to the 10 hour wake up. Thereafter, when the user's wake-up time is improved to 10:00 am, as a second stage, the advice notification unit 336 gradually increases toward the lifestyle to be used as a reference, such as advising improvement to 9:00 wake-up. Notification of improvement advice for getting closer to (stepwise).
- FIG. 11 is a flowchart illustrating an example of a lifestyle-style determination process executed by the control unit 43.
- This lifestyle determination process is executed, for example, once a day (for example, at a predetermined time at night).
- control unit 43 aggregates the operation information and the schedule along a time series (step S201). That is, the control unit 43 aggregates the operation information of the device 10 acquired by the operation information acquisition unit 431 and the schedule read from the data storage unit 32 in time series.
- the control unit 43 estimates the living behavior and determines the lifestyle (step S202). That is, the life style determination unit 432 estimates the user's life behavior based on the above-described determination table 321 in FIG. 7 and the operation information and schedule that are tabulated along the time series. Then, the lifestyle determining unit 432 determines a lifestyle in which the estimated lifestyle behavior is classified. For example, in the estimated lifestyle behavior, when the bedtime is later than the reference time, the lifestyle-style determination unit 432 determines that the lifestyle is “night stay”. Further, in the estimated lifestyle behavior, when the wake-up time is later than the reference time, the lifestyle-style determination unit 432 determines that the lifestyle is “morning sleep”. In addition, in the estimated lifestyle behavior, when eating out is more than the standard number of times, the lifestyle determining unit 432 determines that the lifestyle is “excessive eating out”.
- the control unit 43 notifies the improvement advice according to the user's lifestyle (step S203).
- the advice notification unit 336 generates the advice image A2 as illustrated in FIG. 9 and notifies the improvement advice. That is, the advice notification unit 336 notifies improvement advice for improving the user's lifestyle.
- the advice notification unit 336 should be the reference. In order to make it closer to the lifestyle, the improvement advice according to each is notified. At that time, the advice notification unit 336 notifies improvement advice for gradually approaching the lifestyle to be a reference.
- the life style is determined after the user's life behavior is estimated with high accuracy using the operation information and schedule of the device 10. Therefore, the determined lifestyle is in line with the actual situation of the user, and the user can be effectively encouraged to perform regular lifestyle behavior by notifying improvement advice for improving the lifestyle.
- Embodiment 3 In Embodiment 2 described above, the user's lifestyle is determined and the improvement advice for improving the determined lifestyle is notified. However, the degree to which such improvement advice is reflected in the user's lifestyle behavior May be used for prediction of power consumption.
- Embodiment 3 of the present invention will be described. Also in the third embodiment, the overall configuration is the same as in FIG.
- FIG. 12 is a block diagram showing an example of the configuration of the controller 30 according to the third embodiment of the present invention.
- the controller 30 includes a communication unit 31, a data storage unit 32, a control unit 53, and a display unit 34.
- the configurations of the communication unit 31, the data storage unit 32, and the display unit 34 are the same as those in the first and second embodiments.
- control unit 53 includes a power information acquisition unit 331, a reference power setting unit 332, a power comparison unit 333, an image generation unit 334 (power pattern presentation unit 335, advice notification unit 336), and privilege granting.
- the reflection rate calculation unit 531 calculates a reflection rate indicating the degree to which the improvement advice is reflected in the user's daily behavior after the improvement advice is notified. For example, the reflection rate calculation unit 531 calculates the reflection rate as follows.
- the reflection rate calculation unit 531 collects the previous and current living behaviors estimated by the life style determination unit 432 and the improvement advice notified by the advice notification unit 336 last time. Next, the reflection rate calculation unit 531 extracts information related to improvement advice from the collected previous and current living activities. For example, if the improvement advice is an improvement advice for improving “Morning Sleep” (as an example, wake up at 7:00 am), information on wake-up from the previous living behavior and this living behavior (as an example, the previous time (Waking up at 8 am and waking up at 7:30 am this time) are extracted. Then, the reflection rate calculation unit 531 calculates the reflection rate according to the extracted information. For example, when information about wake-up is extracted (the previous wake-up is 8 am, advises wake-up at 7:00 am and wakes up at 7:30 am this time), the reflection rate calculation unit 531 sets the reflection rate to 0. 0. Calculated as 5 (50%).
- the power prediction unit 532 weights the calculated reflection rate and predicts power consumption. For example, the power prediction unit 532 predicts power consumption as follows.
- the power prediction unit 532 selects power consumption measured in the past under the same conditions. Next, the power prediction unit 532 estimates the power consumption when the user behaves according to the improvement advice that the advice notification unit 336 notifies this time. Then, the power prediction unit 532 predicts the power consumption by combining the selected power consumption and the estimated power consumption with the reflection rate calculated by the reflection rate calculation unit 531 and combining them.
- the power prediction unit 532 predicts power consumption using the following formula 1 (when the reflection rate is calculated by a numerical value in the range of 0 to 1 by the reflection rate calculation unit 531).
- Predicted power consumption Reflection rate x Estimated power consumption + (1-Reflection rate) x Selected power consumption (Equation 1)
- FIG. 13 is a flowchart illustrating an example of the reflection rate calculation process executed by the control unit 53.
- FIG. 14 is a flowchart illustrating an example of the power prediction process executed by the control unit 53.
- control unit 53 collects the previous living behavior, the current living behavior, and the previous improvement advice (step S301). That is, the reflection rate calculation unit 531 collects the previous and current living behaviors estimated by the lifestyle determining unit 432 and the improvement advice notified by the advice notification unit 336 last time.
- the control unit 53 extracts information related to the previous improvement advice from the previous living behavior and the current living behavior (step S302). For example, if the previous improvement advice is an improvement advice for improving “Morning Sleep” (as an example, wake up at 7:00 am), the reflection rate calculation unit 531 calculates from the previous life behavior and the current life behavior. , Information about wakeup (as an example, wakeup at 8:00 am last time and wakeup at 7:30 am this time) is extracted.
- the control unit 53 calculates a reflection rate according to the extracted information (step S303). For example, when information about wake-up is extracted (the previous wake-up is 8 am, advises wake-up at 7:00 am and wakes up at 7:30 am this time), the reflection rate calculation unit 531 sets the reflection rate to 0. 0. Calculated as 5 (50%).
- control unit 53 selects power consumption measured in the past under the same conditions (step S401).
- the power prediction unit 532 selects a new date from the power consumption (power consumption pattern) measured under the same conditions such as weekdays, holidays, and seasons.
- the control unit 53 estimates the power consumption when the user acts according to the improvement advice notified this time (step S402). For example, if the improvement advice to be notified this time is 7:00 am, the power prediction unit 532 estimates power consumption in accordance with daily activities including that the user wakes up at 7:00 am.
- the control unit 53 predicts the power consumption by weighting and combining the power consumption selected in step S401 and the power consumption estimated in step S402 with the reflection rate calculated in the reflection rate calculation process ( Step S403). For example, when the reflection rate is calculated as a numerical value in the range of 0 to 1, the power prediction unit 532 predicts power consumption using the above-described equation 1.
- the power consumption is predicted by weighting the reflection rate calculated in the reflection rate calculation process. For this reason, the prediction accuracy of power consumption can be appropriately improved using the reflection rate according to the user.
- Embodiment 4 In the first to third embodiments, the single home system 1 has been described. However, a plurality of home systems 1 (the controllers 30 of each house H) may be appropriately managed. Embodiment 4 of the present invention will be described below. In the fourth embodiment, as an example, a management system in an apartment house represented by an apartment will be described as an example. However, in addition, a management system that manages a plurality of houses in a region (as an example, CEMS: Community Energy Management System). Is also applicable.
- CEMS Community Energy Management System
- FIG. 15 is a block diagram illustrating an example of the overall configuration of the management system 100 according to the fourth embodiment of the present invention.
- the management system 100 is configured by connecting a controller 30 (controllers 30a, 30b, 30c,...) And a server 60 via an outside network N2.
- a controller 30 controllers 30a, 30b, 30c, etc
- a server 60 via an outside network N2.
- the controller 30 is illustrated, but the configuration of each house (each house H) is the same as that of the home system 1 described above.
- the server 60 is a server that manages an apartment house (each house H).
- this collective housing for example, there is a contract for a collective power receiving service, and there is a restriction such as a penalty if the peak power in the total power consumption (demand power) exceeds a predetermined threshold
- a restriction such as a penalty if the peak power in the total power consumption (demand power) exceeds a predetermined threshold
- the server 60 includes a communication unit 61, a data storage unit 62, and a control unit 63.
- the communication unit 61 communicates with the controller 30 via the outside network N2.
- the data storage unit 62 stores various information necessary for managing the housing complex.
- the data storage unit 62 stores user information related to the users of the apartment house (for example, the number of users and the family structure in each house H, and the relationship between users in different houses H).
- the control unit 63 includes a CPU, a ROM, and a RAM, and controls the entire server 60. Functionally, the control unit 63 includes a shared information acquisition unit 631, a shared information notification unit 632, a power aggregation unit 633, a demand power prediction unit 634, and an advice request unit 635. These functions are realized by the CPU appropriately executing various programs stored in the ROM or the data storage unit 62 using the RAM as a work memory.
- the shared information acquisition unit 631 acquires shared information shared between users in different houses H.
- the shared information is, for example, information on events (school events) at the school where the user (child) of A's home attends and the school where the user of C's home attends.
- the shared information is to be shared between the users at the home A and the home C.
- it if it is an event in an apartment house, it will become shared information which should be shared among the users of all the houses H.
- shared information is acquired from any of the controllers 30 will be described as an example, it may be acquired from an external server or acquired by an administrator.
- the shared information notification unit 632 notifies the shared information acquired by the shared information acquisition unit 631 to the controller 30 to be shared.
- the data storage unit 62 stores, as user information, information indicating a relationship between users in different houses H (for example, information on associating these users if there are users who go to the same school), Based on such user information, the shared information notification unit 632 determines whether the information acquired from the controller 30 is shared information. If the shared information is a shared information, the shared information notification unit 632 transmits the shared information to the controller 30 to be shared. Notify information.
- the power totaling unit 633 collects power information from the controller 30. For example, the power totaling unit 633 totals the power consumption measured in each house H.
- Demand power prediction unit 634 predicts power consumption (demand power) of the entire apartment based on the aggregated power consumption. For example, the demand power prediction unit 634 predicts demand power for the next day based on past results (for example, past demand power measured and aggregated under the same conditions).
- the advice request unit 635 requests the controller 30 to notify the advice for prompting the shift of the peak power.
- the controller 30 is requested to notify the controller 30 of advice that promotes reduction of power consumption or distribution to other time periods during peak power hours. Specifically, if the peak power time period is daytime, participation in an event held at the meeting place during that time period is encouraged to reduce power consumption in each house H. In addition, if the peak power time zone is nighttime, the participation of a light down event is encouraged to reduce the power consumption in each house H.
- FIG. 17 is a flowchart illustrating an example of shared information notification processing executed by the control unit 63.
- FIG. 18 is a flowchart showing an example of advice request processing executed by the control unit 63. These shared information notification processing and advice request processing are executed, for example, once a day (for example, at a predetermined time at night). First, the shared information notification process in FIG. 17 will be described.
- control unit 63 acquires information on a schedule and an event from the controller 30 (step S501).
- the control unit 63 determines whether or not the acquired information is shared information (step S502). That is, the shared information acquisition unit 631 determines whether or not shared information to be shared between users in different houses H has been acquired. For example, if the school where the user (child) of A home attends and the school where the user of C home attends are the same, the shared information acquisition unit 631 can share information about the event (school event) at that school. Is determined to have been acquired. In addition to this, if it is information on an event in an apartment house, the shared information acquisition unit 631 determines that the shared information has been acquired.
- step S502 determines that the acquired information is not shared information (step S502; No)
- the shared information notification process is finished as it is.
- the control unit 63 notifies the target controller 30 of the acquired shared information (step S503). That is, the shared information notification unit 632 refers to the user information in the data storage unit 62 (information indicating the relationship between users in different houses H), and notifies the shared information to the controller 30 to be shared.
- Such shared information notification processing allows information to be shared among target users in an apartment house to be shared. For this reason, schedule omission can be reduced in each house H, and the prediction accuracy of the power consumption in each house H can be improved.
- the control unit 63 predicts demand power (step S601). That is, the demand power prediction unit 634 predicts the power consumption of the entire apartment house. For example, the demand power prediction unit 634 predicts demand power for the next day based on past results (for example, past demand power measured and aggregated under the same conditions).
- the control unit 63 determines whether or not the peak power in the demand power exceeds the threshold (step S602). When determining that the peak power in the demand power does not exceed the threshold value (step S602; No), the control unit 63 ends the advice request process as it is.
- the control unit 63 requests the controller 30 to notify the advice for prompting the peak power shift (Ste S603).
- the advice request unit 635 requests the controller 30 to notify the advice that promotes the reduction of power consumption or the distribution to another time zone in the peak power time zone. Specifically, if the peak power time period is daytime, participation in an event held at the meeting place during that time period is encouraged to reduce power consumption in each house H. In addition, if the peak power time zone is nighttime, the participation of a light down event is encouraged to reduce the power consumption in each house H.
- Such an advice request process can suppress the peak power from exceeding a predetermined threshold value, and, for example, can eliminate the penalty for the collective power receiving service.
- FIG. 19 is a block diagram showing an example of the overall configuration of the management system 100 according to the fifth embodiment of the present invention.
- the management system 100 is configured by connecting a controller 30 (controllers 30a, 30b, 30c,...), A server 60, and an external server 80 via an external network N2. ing.
- a controller 30 controllers 30a, 30b, 30c,...)
- a server 60 server 60
- an external server 80 via an external network N2.
- FIG. 19 only the controller 30 is shown, but the configuration of each house (each house H) is the same as that of the home system 1 described above.
- the server 60 includes a communication unit 61, a data storage unit 62, and a control unit 73. Note that the configurations of the communication unit 61 and the data storage unit 62 are the same as those in the fourth embodiment.
- control unit 73 includes a shared information acquisition unit 631, a shared information notification unit 632, a power aggregation unit 633, a demand power prediction unit 634, an advice request unit 635, a power information notification unit 731, A request information acquisition unit 732, a result information acquisition unit 733, and a result information notification unit 734 are provided. That is, in the control unit 73 of the fifth embodiment, the power information notification unit 731 to the result information notification unit 734 are added to the configuration of the control unit 63 of the fourth embodiment.
- the power information notification unit 731 notifies the external server 80 of the power information collected from the controller 30.
- user information excluding personal information
- the request information acquisition unit 732 acquires request information notified from the external server 80. For example, the request information acquisition unit 732 acquires request information for requesting each house H or each user from the external server 80.
- the advice request unit 635 requests the controller 30 to notify the advice according to the request information.
- the result information acquisition unit 733 requests the controller 30 to notify the advice according to the request information, and then acquires the result (result information) for the advice from the controller 30.
- the result information notification unit 734 notifies the acquired result information to the external server 80.
- the external server 80 is, for example, a power company server. If the employment company or school manages the lifestyle of employees or students, the external server 80 is a server for the employment company or school. If the large retail store manages the customer's eating habits, the external server 80 is a server of the large retail store.
- the external server 80 includes a communication unit 81, a data storage unit 82, and a control unit 83.
- the communication unit 81 communicates with the server 60 via the outside network N2.
- the data storage unit 82 stores various kinds of information necessary for energy management of apartment houses and regions.
- the control unit 83 includes a CPU, a ROM, and a RAM, and controls the entire external server 80. Functionally, the control unit 83 includes a power information collection unit 831, a request information notification unit 832, a result information collection unit 833, and a privilege distribution unit 834. These functions are realized by the CPU appropriately executing various programs stored in the ROM or the data storage unit 62 using the RAM as a work memory.
- the power information collection unit 831 collects power information of the controller 30 from the server 60. Note that the power information collection unit 831 may collect user information (excluding personal information) from the server 60.
- the request information notification unit 832 notifies the server 60 of request information for requesting each house H or each user. For example, if the external server 80 is a server of an electric power company, the server 60 is notified of request information for requesting power suppression or peak shift.
- the result information collection unit 833 collects result information from the server 60. For example, the result information in each house H (each user) with respect to request information for requesting power suppression or peak shift is collected.
- the privilege distribution unit 834 distributes the privilege to the user according to the result information. If the user's achievement for the request information for requesting power suppression or peak shift is sufficient, the privilege distribution unit 834 distributes a privilege such as discounting the basic fee to the user.
- FIG. 22 is a flowchart illustrating an example of privilege distribution processing executed by the control unit 83.
- This privilege distribution process is executed, for example, once a day (for example, at a predetermined time at night).
- control unit 83 notifies the request information to the server 60 (step S701).
- the request information notification unit 832 notifies the server 60 of request information for requesting power suppression or peak shift.
- control unit 83 acquires result information (step S702).
- result information collection unit 833 collects result information in each house H (each user) for request information for requesting power suppression or peak shift.
- the control unit 83 determines whether or not the result is high (step S703). When determining that the result is not high (step S703; No), the control unit 83 ends the privilege distribution process as it is.
- step S703 when it is determined that the result is high (step S703; Yes), the control unit 83 distributes a privilege (step S704).
- the privilege distribution unit 834 distributes a privilege such as discounting the basic fee to the user.
- the home system 1 has been described as an example.
- the present invention can be similarly applied to, for example, a building system arranged in a building.
- the controller 30 includes the display unit 34
- the present invention can be appropriately applied even when the controller 30 does not include the display unit 34.
- the image generated by the image generation unit 334 (the power pattern presentation unit 335 and the advice notification unit 336) is transmitted to a display device capable of communication (for example, a terminal device used by the user), thereby displaying the display.
- the above-described comparison images C1 and C2 and advice images A1 and A2 may be displayed on the device.
- the controller 30 does not include the display unit 34, such a controller 30 may be disposed outside the house H.
- the functions of the controller 30 may be realized in a cloud environment, and the comparison images C1 and C2 and the advice images A1 and A2 may be displayed on a display device capable of communication. In these cases as well, the user can be encouraged to conduct regular living activities in the same manner as described above.
- the dedicated controller 30 or the server 60 has been described.
- an operation program that defines the operation of the controller 30 or the server 60 to an existing personal computer, an information terminal device, or the like.
- the personal computer can also function as the controller 30 or the server 60 according to the present invention.
- a program distribution method is arbitrary.
- a computer-readable medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), an MO (Magneto Optical Disk), or a memory card is readable. It may be stored in a recording medium and distributed, or distributed via a communication network such as the Internet.
- the present invention can be employed in a controller and a management system for prompting a user to conduct regular living activities.
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Abstract
Une unité d'acquisition d'informations d'énergie électrique (331) additionne des habitudes de consommation d'énergie électrique indiquant la transition de la consommation d'énergie électrique dans un jour à partir d'informations d'énergie électrique mesurées. Une unité de réglage d'énergie électrique de référence (332) définit un profil de puissance électrique de référence déterminé par des activités vivantes qui doivent être considérées comme étant la norme pour un utilisateur. Une unité de contraste d'énergie électrique (333) contraste le profil de puissance électrique de référence avec le profil de consommation d'énergie électrique et calcule un rapport de pertinence. Une unité de présentation de profil d'énergie électrique (335) présente le profil d'énergie électrique de référence et le profil de consommation d'énergie électrique en contraste. Une unité de notification d'avis (336) notifie un avis qui correspond au résultat du contraste du profil d'énergie électrique de référence avec le profil de consommation d'énergie électrique. Une unité d'octroi de bénéfice (337) octroie un bénéfice en fonction du rapport de pertinence calculé.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2016/074151 WO2018033993A1 (fr) | 2016-08-18 | 2016-08-18 | Controleur et système de gestion |
| JP2018534247A JP6661774B2 (ja) | 2016-08-18 | 2016-08-18 | コントローラ、および、管理システム |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| PCT/JP2016/074151 WO2018033993A1 (fr) | 2016-08-18 | 2016-08-18 | Controleur et système de gestion |
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| WO2018033993A1 true WO2018033993A1 (fr) | 2018-02-22 |
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| PCT/JP2016/074151 Ceased WO2018033993A1 (fr) | 2016-08-18 | 2016-08-18 | Controleur et système de gestion |
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| Country | Link |
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| JP (1) | JP6661774B2 (fr) |
| WO (1) | WO2018033993A1 (fr) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020140268A (ja) * | 2019-02-26 | 2020-09-03 | 京セラ株式会社 | 電力管理装置、電力管理システム及び電力管理プログラム |
| JP7058776B1 (ja) | 2021-02-08 | 2022-04-22 | booost technologies株式会社 | 情報処理装置、情報処理方法、及びプログラム |
| JP2023072387A (ja) * | 2021-11-12 | 2023-05-24 | 旭化成ホームズ株式会社 | 行動改善装置、行動改善プログラム及び行動改善方法 |
| JP7780922B2 (ja) | 2021-11-12 | 2025-12-05 | 旭化成ホームズ株式会社 | 行動改善装置、行動改善プログラム及び行動改善方法 |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110086205A (zh) * | 2019-06-24 | 2019-08-02 | 珠海格力电器股份有限公司 | 供电系统的控制方法、装置、系统和存储介质 |
| JP2022063217A (ja) * | 2020-10-09 | 2022-04-21 | 旭化成ホームズ株式会社 | 情報処理装置、情報処理システム、建物、及び情報処理方法 |
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| JP2020140268A (ja) * | 2019-02-26 | 2020-09-03 | 京セラ株式会社 | 電力管理装置、電力管理システム及び電力管理プログラム |
| JP7058776B1 (ja) | 2021-02-08 | 2022-04-22 | booost technologies株式会社 | 情報処理装置、情報処理方法、及びプログラム |
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| JP2023072387A (ja) * | 2021-11-12 | 2023-05-24 | 旭化成ホームズ株式会社 | 行動改善装置、行動改善プログラム及び行動改善方法 |
| JP7780922B2 (ja) | 2021-11-12 | 2025-12-05 | 旭化成ホームズ株式会社 | 行動改善装置、行動改善プログラム及び行動改善方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| JPWO2018033993A1 (ja) | 2019-03-07 |
| JP6661774B2 (ja) | 2020-03-11 |
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