JP7058776B1 - Information processing equipment, information processing methods, and programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information output device, an information output method and a program for outputting a message for suppressing energy consumption of a customer. An information output device 100 refers to a database that stores a customer's identification information, attribute information, and an energy consumption pattern indicating a customer's energy consumption for each unit time zone of a specified period, and determines conditions. From multiple customers with attributes that meet the specified conditions, the first specific part with the customer with the lowest energy consumption in the specified period as the standard customer, and from multiple customers with the attributes that satisfy the specified conditions, the standard customer The second specific part where the customer with the energy consumption pattern whose degree of agreement with the energy consumption pattern is below the threshold or the degree of agreement with the standard customer's energy consumption pattern is the lowest is the candidate customer, and the candidate whose energy consumption is larger than the standard customer. It includes a third specific unit that specifies a unit time zone of a customer, and an output unit 106 that outputs a message indicating the specified unit time zone to a candidate customer. [Selection diagram] Fig. 1

Description

The present invention relates to an information processing apparatus, an information processing method, and a program.

Patent Document 1 describes that the combination of electric power equipment to be allocated to the DR request is determined based on the data item in which the priority according to the time zone of the DR request is added. Patent Document 2 describes a matching system that can confirm in advance the degree of conformity of daily life patterns between a member and another member.
[Prior Art Document]
[Patent Document]
[Patent Document 1] Japanese Patent Application Laid-Open No. 2020-78158 [Patent Document 2] Japanese Patent Application Laid-Open No. 2020-166518

The information output device according to one aspect of the present invention stores the customer identification information, the customer attribute information, and the energy consumption pattern indicating the customer's energy consumption for each unit time zone in a predetermined period for each customer. A first specific unit may be provided that identifies the customer with the lowest energy consumption in a predetermined period as a reference customer among a plurality of customers having attributes that satisfy predetermined conditions by referring to the database. .. The information output device is an energy that has the lowest degree of agreement with the energy consumption pattern of the reference customer or the degree of agreement with the energy consumption pattern of the reference customer among a plurality of customers having attributes satisfying predetermined conditions. It may be provided with a second specific unit that identifies a customer with a consumption pattern as a candidate customer. The information output device may include a third specific unit that specifies a unit time zone of a candidate customer whose energy consumption is larger than that of the reference customer. The information output device may include an output unit that outputs a message indicating a specified unit time zone to a candidate customer.

The output unit may output a message prompting the suppression of energy consumption in the specified unit time zone to the candidate customer.

The output unit may output a message urging the candidate to go out during the specified unit time zone to the candidate customer.

The database may further store the electrical equipment used by the customer, the average rated power consumption of the electrical equipment of the same function, and the power consumption of the electrical equipment for each unit time period in a predetermined period. .. The third specific part identifies the electric equipment whose rated power consumption is lower than the average value of the rated power consumption of the electric equipment having the same function among the electric equipment used by the standard customer in the specified unit time zone. good. The output unit may output a message further indicating the specified electric device to the candidate customer.

The customer attribute information may indicate a pre-classified consumption type based on the tendency of energy consumption per unit time. Predetermined conditions may include the customer's consumption type. The first specific part is the same consumption type as the consumption type included in the predetermined conditions among a plurality of customers having attributes that satisfy the predetermined conditions, and the energy consumption in the predetermined period is the highest. Low customers may be identified as reference customers.

The customer may be a store. The customer attribute information may include the type of store and the total floor area. The predetermined conditions may include the type of the target store. The first specific unit may specify a store having the lowest energy consumption per unit floor area as a reference store among a plurality of stores having attributes that satisfy predetermined conditions. .. In the second specific unit, among a plurality of stores having attributes that satisfy predetermined conditions, the degree of agreement with the energy consumption pattern of the standard store is below the threshold value, or the degree of agreement with the energy consumption pattern of the standard store is the lowest. A store with an energy consumption pattern may be specified as a candidate store. The third specific unit may specify the unit time zone of the candidate store whose energy consumption per unit floor area is larger than that of the reference store. The output unit may output a message indicating the specified unit time zone to the candidate store.

The customer attribute information may include the location of the store. The predetermined conditions may include the location area of the target store. The first specific part is the same location area as the location area included in the predetermined condition among a plurality of customers having attributes that satisfy the predetermined condition, and the energy consumption in the predetermined period is the highest. Low customers may be identified as reference customers.

The database may store the energy consumption pattern of each customer for each weather type. Predetermined conditions may include the type of weather. The first specific part is the same weather type as the weather type included in the predetermined conditions among a plurality of customers having attributes that satisfy the predetermined conditions, and the energy consumption in the predetermined period is the highest. Low customers may be identified as reference customers.

The information output method according to one aspect of the present invention stores the customer identification information, the customer attribute information, and the energy consumption pattern indicating the customer's energy consumption for each unit time zone in a predetermined period for each customer. The customer may be provided with a step of identifying the customer having the lowest energy consumption in the predetermined period as the reference customer among a plurality of customers having attributes satisfying the predetermined conditions by referring to the database. In the information output method, among a plurality of customers having attributes that satisfy predetermined conditions, the energy that matches the energy consumption pattern of the reference customer is less than or equal to the threshold value, or the energy that matches the energy consumption pattern of the reference customer is the lowest. A stage may be provided in which a customer with a consumption pattern is identified as a candidate customer. The information output method may include a stage of specifying a unit time zone of a candidate customer whose energy consumption is larger than that of the reference customer. The information output method may include a step of outputting a message indicating a specified unit time zone to a candidate customer.

The program according to one aspect of the present invention is a database that stores customer identification information, customer attribute information, and an energy consumption pattern showing a customer's energy consumption for each unit time period in a predetermined period for each customer. The computer may be made to perform a step of identifying a customer having the lowest energy consumption in a predetermined period as a reference customer among a plurality of customers having attributes satisfying a predetermined condition with reference to. The program has an energy consumption pattern in which the degree of agreement with the energy consumption pattern of the reference customer is less than or equal to the threshold value or the degree of agreement with the energy consumption pattern of the reference customer is the lowest among a plurality of customers having attributes that satisfy predetermined conditions. You may have your computer perform the steps to identify your customer as a candidate customer. The program may cause the computer to perform a step of identifying a unit time zone for a candidate customer who consumes more energy than the reference customer. The program may have the computer perform a step of outputting a message indicating the specified unit time zone to the candidate customer.

The outline of the above invention does not list all the features of the present invention. A subcombination of these feature groups can also be an invention.

It is a figure which shows an example of the whole structure of an information output system. It is a figure which shows an example of the energy consumption pattern. It is a figure which shows an example of the energy consumption pattern. It is a flowchart which shows an example of the procedure of the promotion process of reduction of power consumption when the customer is a household. It is a flowchart which shows an example of the procedure of the promotion process of reduction of power consumption when a customer is a store. It is a figure which shows an example of a hardware configuration.

Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention within the scope of the claims. Also, not all combinations of features described in the embodiments are essential to the means of solving the invention.

The computer readable medium may include any tangible device capable of storing instructions executed by the appropriate device. As a result, the computer-readable medium having the instructions stored therein will include the product, including instructions that can be executed to create means for performing the operation specified in the flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, and the like. More specific examples of computer-readable media include floppy (registered trademark) disks, diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), Electrically erasable programmable read-only memory (EEPROM), static random access memory (SRAM), compact disc read-only memory (CD-ROM), digital versatile disc (DVD), Blu-ray (RTM) disc, memory stick, integrated A circuit card or the like may be included.

Computer-readable instructions may include either source code or object code written in any combination of one or more programming languages. Source code or object code includes traditional procedural programming languages. Traditional procedural programming languages are assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcodes, firmware instructions, state setting data, or Smalltalk®, JAVA®, C ++. It may be an object-oriented programming language such as, and a "C" programming language or a similar programming language. Computer-readable instructions are used locally or on a local area network (LAN), wide area network (WAN), etc., to the processor or programmable circuit of a general purpose computer, special purpose computer, or other programmable data processing device. ) May be provided. The processor or programmable circuit may execute computer-readable instructions to create means for performing the operations specified in the flowchart or block diagram. Examples of processors include computer processors, processing units, microprocessors, digital signal processors, controllers, microcontrollers, and the like.

FIG. 1 is a diagram showing an example of the overall configuration of the information output system 10 according to the present embodiment. The information output system 10 includes an information output device 100, a display terminal 200, a smart meter 20, a HEMS device 30, and a smart meter management server 50. The information output device 100, the display terminal 200, the smart meter 20, the HEMS device 30, and the smart meter management server 50 are connected to each other via a network such as the Internet. The HEMS device 30 is an EMS (energy management system) device used at home. The information output system 10 includes various EMSs selected according to the customer's building, such as Mansion EMS (MEMS) equipment used for apartments and Building EMS (BEMS) used for commercial office buildings. It may be equipped with equipment.

The smart meter 20 measures a customer's energy consumption such as power consumption (kWh) and gas consumption (m ³ ) per unit time (for example, 30 minutes or 1 hour). The smart meter 20 is a smart meter that manages the measured energy consumption data for each unit time by a HEMS device 30 installed in a customer's house or the like, or a retail electric power company that supplies energy such as electric power or gas. It is transmitted to the meter management server 50. The smart meter 20 may measure the energy consumption for each electric device managed by the customer for each unit time. In addition to the smart meter 20, the measurement of the power consumption of each customer's electric device may be performed by estimation by a power meter installed on the distribution board and disaggregation. The measurement of the power consumption of each electric device of the customer may be performed by a sensor that is directly or indirectly installed in each electric device and measures the power consumption. For example, the measurement of power consumption is performed by installing the voltage between the power supply of each electric device and a plug-in connector for wiring such as an outlet, on the main body of each electric device or the power cord, or near each electric device. It may be done by a sensor that measures or estimates the power consumption of each electrical device by measuring current, temperature, etc.

The information output device 100 collects and manages the energy consumption for each unit time measured by the customer's smart meter 20 via the HEMS device 30 or the smart meter management server 50. The display terminal 200 displays various information provided by the information output device 100. The display terminal 200 may be a customer-owned smartphone, a mobile terminal such as a tablet, a personal computer, or the like.

The information output device 100 analyzes the energy consumption collected from the customer and provides the display terminal 200 with information suitable for the customer so that the energy consumption can be efficiently suppressed.

The information output device 100 includes an energy consumption management DB 102, a specific unit 104, an output unit 106, and a customer information management DB 110. At least one of the energy consumption management DB 102 and the customer information management DB 110 may be provided with a device such as a server other than the information output device 100. The energy consumption management DB 102 and the customer information management DB 110 may be configured by one database.

The customer information management DB 110 manages various information related to the energy consumption of the customer. The customer information management DB 110 may store the customer's address, the customer's attributes, the rated power consumption of the electric equipment used by the customer, the average value of the rated power consumption of the electric equipment having the same function, and the like. If the customer is a general consumer (household), the customer information management DB 110 may store the number of household members as an attribute of the customer. The customer information management DB 110 may store the customer's online purchase history.

If the customer is a store, the customer information management DB 110 may store the type of store (large department store, general supermarket, specialty supermarket, convenience store, clothing specialty store, grocery specialty store, etc.) as the attribute of the customer. .. The customer information management DB 110 may store the total floor area of the store as the attribute information of the customer. The customer information management DB 110 may store the type and number of electrical devices used by the customer. The customer information management DB 110 may store the types and numbers of indoor and outdoor lighting, the types and numbers of refrigerated / frozen showcases, and the types and numbers of air conditioning equipment.

The specific unit 104 is an example of a first specific unit, a second specific unit, and a third specific unit. The specific unit 104 refers to the energy consumption management DB 102 and the customer information management DB 110, and selects the customer with the lowest energy consumption in the predetermined period among a plurality of customers having attributes satisfying the predetermined conditions. Identify as a reference customer. The specific unit 104 refers to the energy consumption management DB 102 and the customer information management DB 110, and among a plurality of customers having attributes satisfying predetermined conditions, for example, an average for one year, three months, or one month. Identify the customer with the lowest energy consumption as the reference customer.

The specifying unit 104 may specify as a candidate customer a customer having an energy consumption pattern whose degree of coincidence with the energy consumption pattern of the reference customer is equal to or less than a threshold value, among a plurality of customers having attributes satisfying predetermined conditions. The specifying unit 104 may specify as a candidate customer a customer having an energy consumption pattern having the lowest degree of agreement with the energy consumption pattern of the reference customer among a plurality of customers having attributes satisfying predetermined conditions.

The energy consumption pattern may be, for example, as shown in FIG. 2, time-series data showing the hourly power consumption in a day. As shown in FIG. 3, the specific unit 104 calculates the total difference between the hourly power consumption of the reference customer and the hourly power consumption of the comparison target customer, and the total difference is the largest. Larger customers may be identified as candidate customers. The specifying unit 104 may specify a customer whose total difference is equal to or greater than the threshold value as a candidate customer.

The identification unit 104 identifies a unit time zone of a candidate customer whose energy consumption is larger than that of the reference customer. The output unit 106 may output a message indicating the specified unit time zone to the candidate customer. The output unit 106 may output a message indicating the identification information of the candidate customer and the specified unit time zone. The output unit 106 may notify the display terminal 200 of the candidate customer of a time zone in which power consumption is higher than that of the reference customer as a message. The output unit 106 notifies the candidate customer of a time zone in which the power consumption is larger than that of the reference customer as a message, thereby urging the candidate customer to reduce the power consumption in the corresponding time zone.

When the customer is a general consumer (household), the predetermined condition for narrowing down the customers to be analyzed may include the number of household members. In addition, the predetermined conditions may include a consumption type indicating a tendency of power consumption per unit time. The consumption type may be pre-classified according to the tendency of power consumption for each time zone. Consumption types may be pre-classified according to household lifestyle. The consumption types are the morning peak type in which the peak of daily power consumption comes in the morning, the night peak type in which the peak of daily power consumption comes in the night, and the constant power consumption from morning to night. It may include a consumption type, a late night consumption type that consumes a relatively large amount of power at midnight, and the like. Further, predetermined conditions may include a residential area. For example, the predetermined conditions may include the number of household members is "1", the lifestyle is "night peak type", and the residential city area is "Tokyo".

FIG. 4 is a flowchart showing an example of a procedure for promoting reduction of power consumption when the customer is at home.

The specifying unit 104 specifies the attributes of the customer to be analyzed and the type of lifestyle (consumption type) as predetermined conditions (S100). The predetermined conditions may be input by the user via the terminal. The user may input predetermined conditions by selecting desired conditions for each item. The user may be, for example, a person in charge of a company registered with a retail electric power company. The attributes of the customer may be the area of residence and the number of household members.

The specifying unit 104 refers to the energy consumption management DB 102 and the customer information management DB 110, and identifies the customer having the lowest power consumption per day on weekdays as the reference customer among the customers to be analyzed (S102). The daily power consumption on weekdays may be an average power consumption for three months for a predetermined period, for example, for each season.

Next, the specifying unit 104 identifies a candidate customer of the power consumption pattern having the lowest degree of coincidence with the power consumption pattern of the reference customer among the customers to be analyzed (S104). Next, the specifying unit 104 identifies a time zone of a candidate customer whose power consumption is larger than that of the reference customer (S106). The output unit 106 notifies the candidate customer of a time zone in which the power consumption is larger than that of the reference customer, thereby executing the promotion process of reducing the power consumption in the corresponding time zone (S108).

As a result, for example, the reference customer with the lowest power consumption is identified from among the customers with the same number of household members in the same area. Furthermore, the candidate customer of the power consumption pattern having the least degree of agreement with the power consumption pattern of the reference customer is identified. Then, among the time zones of the power consumption of the candidate customer, the time zone in which the power consumption is larger than the time zone of the power consumption of the reference customer is specified, and the candidate customer is notified. If the power consumption during this time period can be suppressed, the power consumption of the candidate customer can be effectively suppressed.

The output unit 106 notifies the candidate customer, for example, a message recommending that the use of the electric device be suppressed in the corresponding time zone. The output unit 106 may send a message urging the candidate customer to go out in the time zone in order to suppress the use of the electric device in the corresponding time zone.

The output unit 106 is within a radius of 3 km from the customer's address or within a radius of 0.5 km from the nearest station or a station within two from the nearest bus stop or a bus stop by public transportation such as a train or a bus during the corresponding time zone. If you visit a store and purchase a product, you may send a message to the customer telling them to run a campaign to give them 1.5 times more points.

Further, when the output unit 106 visits a plurality of stores of different types (for example, a grocery store, a clothing store, a drug store, etc.) and purchases at the corresponding time zone, the output unit 106 is the second type as a candidate customer. You may send a message to the candidate customers telling that the store will double the points and the third type of store will carry out a campaign to give 2.5 times the points.

Further, the output unit 106 is not on the route between the address of the candidate customer and the nearest station or the nearest bus stop at the corresponding time zone, and the store is separated from the address of the candidate customer by a predetermined distance or more (for example, a candidate). If you visit a store (a store that is more than a predetermined distance away from the customer's address in the direction opposite to the direction of the nearest station or the nearest bus stop) and purchase the product, we will carry out a campaign to give additional 10 points to candidate customers. You may send a message to the candidate customer telling you to do so.

When the output unit 106 visits a store corresponding to any of the above and purchases a product of the same category having an online purchase history in the corresponding time zone, an additional 10 points are given for the purchase of the product. You may send a message to potential customers informing them that they will carry out the campaign.

In addition, the output unit 106 visits a store corresponding to any of the above and purchases a product at a time when the temperature is above or below a certain threshold or below the threshold and the weather forecast is not rainy, even outside the corresponding time zone. If so, a message may be sent to the candidate customer informing them that the campaign to give the candidate customer 10 points will be carried out.

The message of the output unit 106 may be transmitted by e-mail or application, or posted on a website that can be viewed by the customer.

The output unit 106 is an electric device whose rated power consumption is lower than the average value of the rated power consumption of the electric device having the same function among the electric devices used by the reference customer in order to promote the suppression of the power consumption of the candidate customer. You may send a message to the candidate customer. The output unit 106 has a rated power consumption lower than the average value of the rated power consumption among the electric devices used by the standard customers not only for the candidate customers but also for each customer having the same number of household members in the same area. You may send a message telling you about the electrical equipment.

Next, the customer describes an example of a store.

When the customer is a store, the predetermined conditions for narrowing down the customers to be analyzed may include the type of the store, the location area of the store, and the total floor area as the attributes of the customer. The type of store may be, for example, a convenience store existing in a desired area, or each tenant occupying a plurality of large facilities (such as a mall or a shopping sensor) operated by a company registered with a retail electric power company.

The specifying unit 104 may specify a store having the lowest energy consumption per unit floor area as a reference store among a plurality of stores having attributes satisfying predetermined conditions. The specifying unit 104 may specify as a candidate store a store having an energy consumption pattern in which the degree of agreement with the energy consumption pattern of the reference store is equal to or less than a threshold value among a plurality of stores having attributes satisfying predetermined conditions. .. The specifying unit 104 may specify as a candidate store a store having an energy consumption pattern having the lowest degree of coincidence with the energy consumption pattern of the reference store among a plurality of stores having attributes satisfying predetermined conditions. The specifying unit 104 may specify a unit time zone of a candidate store that consumes more energy per unit floor area than the reference store. The output unit 106 may output a message indicating the specified unit time zone to the candidate store. The output unit 106 may output a message indicating the identification information of the candidate store and the specified unit time zone to the candidate store.

FIG. 5 is a flowchart showing an example of a procedure for promoting reduction of power consumption when the customer is a store.

The specifying unit 104 specifies the area of the store to be analyzed and the type of the store as predetermined conditions (S200). The predetermined conditions may be input by the user via the terminal. The user may input predetermined conditions by selecting desired conditions for each item. The user may be, for example, a person in charge of a company registered with a retail electric power company.

The specifying unit 104 refers to the energy consumption management DB 102 and the customer information management DB 110, and identifies the store having the lowest power consumption per day and per unit floor area as the reference store among the stores to be analyzed. (S202). Next, the specifying unit 104 identifies a candidate store having a power consumption pattern having the lowest degree of coincidence with the power consumption pattern of the reference store among the stores to be analyzed (S204).

The specifying unit 104 specifies a time zone of a candidate store whose power consumption is larger than that of the reference store (S206). The output unit 106 notifies the candidate store of a time zone in which the power consumption is larger than that of the reference store, thereby executing the promotion process of reducing the power consumption in the corresponding time zone to the candidate store (S208).

Thereby, for example, the reference store having the lowest power consumption is specified from the stores of the same type in the same area. Furthermore, a candidate store with a power consumption pattern that has the least degree of agreement with the power consumption pattern of the standard store is identified. Then, among the power consumption time zones of the candidate store, the time zone in which the power consumption is larger than the power consumption time zone of the reference store is specified, and the candidate store is notified. If the power consumption during this time period can be suppressed, the power consumption of the candidate store can be effectively suppressed.

The specific unit 104 compares the power consumption pattern of each electric device in the corresponding time zone of the standard store with the power consumption pattern of each electric device in the corresponding time zone of the candidate store, and consumes more power than the standard store. May identify electrical equipment with a large value. The output unit 106 may send a message indicating an electric device that consumes more power than the reference store to the candidate store. The output unit 106 may transmit a message urging the candidate store to replace the electric device that consumes more power than the reference store with a new electric device that consumes less power.

The output unit 106 may send a message urging the candidate store to suppress the power consumption in the corresponding time zone. The output unit 106 may send a message urging the candidate store to reduce the opening and closing of the showcase due to the product replacement work, reduce the number of entrances and exits of the store, or reduce the use of electrical equipment during the relevant time period. The output unit 106 may transmit a message urging the candidate store to suppress the use of electric devices whose power consumption fluctuates depending on the climate such as air conditioning during the time zone.

Energy consumption patterns also depend on the weather. Therefore, the energy consumption management DB 102 may store the energy consumption pattern of each customer for each weather type. The weather type may be, for example, sunny, cloudy, rainy, snowy, sunny then cloudy, or sunny and sometimes cloudy.

The specifying unit 104 may specify the reference store having the lowest power consumption in the same weather type from the customers of the same type in the same area. Further, a candidate store of the power consumption pattern having the least degree of coincidence with the power consumption pattern of the reference store may be specified.

The output unit 106 can compare the power consumption pattern of each store having an attribute satisfying a predetermined condition and the power consumption pattern of the store having the same weather type and the lowest power consumption per unit floor area. You may notify the store.

The specific unit 104 indicates the power consumption of the base load load, which indicates an electric device that continuously consumes power for a certain period of time, such as a lighting, a refrigerator, a refrigerated showcase, and a refrigerated showcase, from among customers of the same type in the same area. The customer with the least number may be identified as the reference customer.

The specific unit 104 may specify a reference customer by day of the week or by time zone from customers of the same type in the same area.

FIG. 6 shows an example of a computer 1200 in which a plurality of aspects of the present invention may be embodied in whole or in part. The program installed on the computer 1200 can cause the computer 1200 to function as an operation associated with the device according to an embodiment of the present invention or as one or more "parts" of the device. Alternatively, the program may cause the computer 1200 to perform the operation or the one or more "parts". The program may cause the computer 1200 to perform a process according to an embodiment of the present invention or a step of the process. Such a program may be run by the CPU 1212 to cause the computer 1200 to perform certain operations associated with some or all of the blocks of the flowcharts and block diagrams described herein.

The computer 1200 according to this embodiment includes a CPU 1212 and a RAM 1214, which are connected to each other by a host controller 1210. The computer 1200 also includes a communication interface 1222, an input / output unit, which are connected to the host controller 1210 via an input / output controller 1220. The computer 1200 also includes a ROM 1230. The CPU 1212 operates according to a program stored in the ROM 1230 and the RAM 1214, thereby controlling each unit.

The communication interface 1222 communicates with other electronic devices via the network. A hard disk drive may store programs and data used by the CPU 1212 in the computer 1200. The ROM 1230 stores in it a boot program or the like executed by the computer 1200 at the time of activation and / or a program depending on the hardware of the computer 1200. The program is provided via a computer-readable recording medium such as a CR-ROM, USB memory or IC card or a network. The program is installed in RAM 1214, which is also an example of a computer-readable recording medium, or ROM 1230, and is executed by the CPU 1212. The information processing described in these programs is read by the computer 1200 and provides a link between the program and the various types of hardware resources described above. The device or method may be configured to implement the operation or processing of information according to the use of the computer 1200.

For example, when communication is executed between the computer 1200 and an external device, the CPU 1212 executes a communication program loaded in the RAM 1214, and performs communication processing with respect to the communication interface 1222 based on the processing described in the communication program. You may order. Under the control of the CPU 1212, the communication interface 1222 reads the transmission data stored in the transmission buffer area provided in the RAM 1214 or a recording medium such as a USB memory, and transmits the read transmission data to the network, or The received data received from the network is written to the reception buffer area or the like provided on the recording medium.

Further, the CPU 1212 makes the RAM 1214 read all or necessary parts of a file or a database stored in an external recording medium such as a USB memory, and executes various types of processing on the data on the RAM 1214. good. The CPU 1212 may then write back the processed data to an external recording medium.

Various types of information such as various types of programs, data, tables, and databases may be stored in recording media and processed. The CPU 1212 describes various types of operations, information processing, conditional judgment, conditional branching, unconditional branching, and information retrieval described in various parts of the present disclosure with respect to the data read from the RAM 1214. Various types of processing may be performed, including / replacement, etc., and the results are written back to the RAM 1214. Further, the CPU 1212 may search for information in a file, database, or the like in the recording medium. For example, when a plurality of entries each having an attribute value of the first attribute associated with the attribute value of the second attribute are stored in the recording medium, the CPU 1212 specifies the attribute value of the first attribute. Search for an entry that matches the condition from the plurality of entries, read the attribute value of the second attribute stored in the entry, and associate it with the first attribute that satisfies the predetermined condition. The attribute value of the second attribute obtained may be acquired.

The program or software module described above may be stored on a computer 1200 or in a computer readable storage medium near the computer 1200. Also, a recording medium such as a hard disk or RAM provided in a dedicated communication network or a server system connected to the Internet can be used as a computer readable storage medium, thereby allowing the program to be transferred to the computer 1200 over the network. offer.

The order of execution of each process such as operation, procedure, step, and step in the apparatus, system, program, and method shown in the claims, the specification, and the drawing is particularly "before" and "prior to". It should be noted that it can be realized in any order unless the output of the previous process is used in the subsequent process. Even if the scope of claims, the specification, and the operation flow in the drawings are explained using "first", "next", etc. for convenience, it means that it is essential to carry out in this order. It's not a thing.

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various changes or improvements can be made to the above embodiments. It is clear from the description of the claims that the form with such changes or improvements may be included in the technical scope of the present invention.

10 Information output system 20 Smart meter 30 HEMS equipment 50 Smart meter management server 100 Information output device 102 Energy consumption management DB
104 Specific unit 106 Output unit 110 Customer information management DB
200 Display terminal 1200 Computer 1210 Host controller 1212 CPU
1214 RAM
1220 Input / Output Controller 1222 Communication Interface 1230 ROM

Claims (10)

Predetermined conditions with reference to a database that stores customer identification information, customer attribute information, and energy consumption patterns indicating the customer's energy consumption for each unit time period in a predetermined period for each customer. The first specific part that identifies the customer with the lowest energy consumption in a predetermined period as a reference customer among a plurality of customers having attributes that satisfy the conditions.
Among a plurality of customers having attributes that satisfy the predetermined conditions, the energy consumption pattern in which the degree of agreement with the energy consumption pattern of the reference customer is equal to or less than the threshold value or the degree of agreement with the energy consumption pattern of the reference customer is the lowest. The second specific part that identifies the customer as a candidate customer,
The third specific part that specifies the unit time zone of the candidate customer whose energy consumption is larger than that of the reference customer, and
An information output device including an output unit that outputs a message indicating a specified unit time zone to the candidate customer. The information output device according to claim 1, wherein the output unit outputs a message prompting the suppression of energy consumption in the specified unit time zone to the candidate customer. The information output device according to claim 1, wherein the output unit outputs a message urging the candidate to go out in the specified unit time zone. The database further stores the electric equipment used by the customer, the average value of the rated power consumption of the electric equipment having the same function, and the power consumption of the electric equipment for each unit time zone in the predetermined period. death,
The third specific unit refers to an electric device whose rated power consumption is lower than the average value of the rated power consumption of the electric device having the same function among the electric devices used by the reference customer in the specified unit time zone. Identify and
The information output device according to any one of claims 1 to 3, wherein the output unit further outputs the message indicating the specified electric device to the candidate customer. The customer attribute information indicates a consumption type preclassified based on the tendency of energy consumption per unit time.
The predetermined conditions include the customer's consumption type and
The first specific unit is the same consumption type as the consumption type included in the predetermined conditions among a plurality of customers having attributes satisfying the predetermined conditions, and consumes energy in a predetermined period. The information output device according to any one of claims 1 to 4, wherein the customer with the lowest quantity is specified as a reference customer. The customer is a store
The customer attribute information includes the type of store and the total floor area.
The predetermined conditions include the type of target store and include.
The first specific unit specifies, among a plurality of stores having attributes satisfying the predetermined conditions, the store having the lowest energy consumption per unit floor area within the predetermined period as a reference store. death,
In the second specific unit, among a plurality of stores having attributes satisfying the predetermined conditions, the degree of coincidence with the energy consumption pattern of the reference store is equal to or less than the threshold value, or the coincidence with the energy consumption pattern of the reference store. Identify the store with the lowest energy consumption pattern as a candidate store,
The third specific unit identifies a unit time zone of the candidate store, which consumes more energy per unit floor area than the reference store.
The information output device according to claim 1, wherein the output unit outputs a message indicating a specified unit time zone to the candidate store. The customer attribute information includes the location of the store.
The predetermined conditions include the location area of the target store, and the predetermined conditions include.
The first specific unit consumes energy in a predetermined period in the same location area as the location area included in the predetermined condition among a plurality of customers having attributes satisfying the predetermined condition. The information output device according to claim 6, wherein the customer with the lowest quantity is specified as a reference customer. The database stores the energy consumption pattern of each customer for each weather type.
The predetermined conditions include the weather type and are included.
The first specific unit is a plurality of customers having attributes that satisfy the predetermined conditions, and has the same weather type as the weather type included in the predetermined conditions, and has energy in the predetermined period. The information output device according to any one of claims 1 to 7, wherein the customer with the lowest consumption is specified as a reference customer. The first specific part refers to a database for each customer, which stores customer identification information, customer attribute information, and an energy consumption pattern showing the customer's energy consumption for each unit time period in a predetermined period. , The stage of identifying the customer with the lowest energy consumption in the predetermined period as the reference customer among multiple customers who have attributes that satisfy the predetermined conditions.
Among a plurality of customers having attributes that satisfy the predetermined conditions , the second specific unit has a degree of coincidence with the energy consumption pattern of the reference customer equal to or less than a threshold value, or a degree of coincidence with the energy consumption pattern of the reference customer. At the stage of identifying customers with the lowest energy consumption pattern as candidate customers,
The third specific unit identifies the unit time zone of the candidate customer whose energy consumption is larger than that of the reference customer.
An information output method comprising a step in which an output unit outputs a message indicating a specified unit time zone to the candidate customer via a network . Predetermined conditions with reference to a database that stores customer identification information, customer attribute information, and energy consumption patterns indicating the customer's energy consumption for each unit time period in a predetermined period for each customer. At the stage of identifying the customer with the lowest energy consumption in a predetermined period as the reference customer among multiple customers who have the attributes that satisfy the conditions.
Among a plurality of customers having attributes that satisfy the predetermined conditions, the energy consumption pattern in which the degree of agreement with the energy consumption pattern of the reference customer is equal to or less than the threshold value or the degree of agreement with the energy consumption pattern of the reference customer is the lowest. At the stage of identifying customers as candidate customers,
At the stage of identifying the unit time zone of the candidate customer whose energy consumption is larger than that of the reference customer,
A program for causing a computer to execute a step of outputting a message indicating a specified unit time zone to the candidate customer.

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