Statistical systems, statistical methods, and programs

Abstract

This system provides a statistical method that can estimate and output the load curve of electricity usage for a given day. [Solution] The statistical system 40 includes a first acquisition unit 41 that acquires first information regarding the amount of electricity consumed in a first type of facility 10 equipped with a smart meter 11 via route C, a second acquisition unit 42 that acquires second information regarding the amount of electricity consumed in a second type of facility 20 different from the first type of facility 10, equipped with measurement means 21 other than the smart meter 11, a creation unit 43 that creates statistical data regarding the amount of electricity consumed in the facility associated with the identification information based on the information associated with the identification information from the acquired first and second information, and an output unit 44 that outputs information regarding the created statistical data.

Description

[Technical Field]

[0001] This disclosure pertains to statistical systems, etc. [Background technology]

[0002] In recent years, the number of facilities equipped with smart meters that measure electricity usage at regular intervals (for example, every 30 minutes) has been increasing. For example, there is an estimation device that estimates the monthly electricity usage load curve of users without smart meters from the monthly electricity usage load curve of users with smart meters and the monthly electricity usage load curve of users without smart meters (see Patent Document 1). [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-004704 [Overview of the project] [Problems that the invention aims to solve]

[0004] This invention provides a statistical system, etc., that can estimate and output the load curve of electricity usage for a given day. [Means for solving the problem]

[0005] A statistical system according to one aspect of the present invention includes: a first acquisition unit that acquires first information regarding the amount of electricity consumed in a first type of facility equipped with a smart meter via a C route; a second acquisition unit that acquires second information regarding the amount of electricity consumed in a second type of facility different from the first type of facility, which is equipped with measuring means other than a smart meter; a creation unit that creates statistical data regarding the amount of electricity consumed in a facility associated with an identification information based on the information associated with the identification information from the acquired first and second information; and an output unit that outputs information regarding the created statistical data.

[0006] A statistical method according to one aspect of the present invention includes: a first acquisition step of acquiring first information regarding the amount of electricity consumed in a first type of facility equipped with a smart meter via a C route; a second acquisition step of acquiring second information regarding the amount of electricity consumed in a second type of facility different from the first type of facility, which is equipped with measuring means other than a smart meter; a creation step of creating statistical data regarding the amount of electricity consumed in a facility associated with an identification information based on the information associated with the identification information from the acquired first and second information; and an output step of outputting information regarding the created statistical data.

[0007] A program according to one aspect of the present invention is a program for causing a computer to execute the statistical method described above. [Effects of the Invention]

[0008] The statistical systems described in this disclosure can estimate and output the load curve of electricity consumption for the day. [Brief explanation of the drawing]

[0009] [Figure 1] Figure 1 is a block diagram showing the configuration of an energy consumption estimation system including a statistical system according to an embodiment. [Figure 2] Figure 2 is a flowchart showing the operation of the statistical system. [Figure 3] Figure 3 is a flowchart showing a detailed example of step S3 shown in Figure 2. [Figure 4A] Figure 4A shows an example of information regarding the first and second pieces of information that have already been acquired before the statistical system's creation unit creates the statistical data. [Figure 4B] Figure 4B shows an example of information about statistical data created by the statistical system's creation unit based on the information about the first information shown in Figure 4A. [Figure 4C]Figure 4C shows an example of information about statistical data created by the statistical system's creation unit based on the information about the second type of information shown in Figure 4A. [Figure 5] Figure 5 is a flowchart showing a detailed example of the operation of step S3 shown in Figure 2. [Figure 6A] Figure 6A shows an example of when the power consumption information output in step S22 of Figure 5 is displayed on the display unit of the terminal device. [Figure 6B] Figure 6B shows an example of when the information regarding the second information and statistical data output in step S24 of Figure 5 is displayed on the display unit of the terminal device. [Figure 7A] Figure 7A shows an example of information regarding the first and second pieces of information acquired before the statistical system's creation unit creates the statistical data. [Figure 7B] Figure 7B shows an example of statistical data created by the statistical system's creation unit based on the information of the first information shown in Figure 7A. [Figure 8A] Figure 8A is a diagram illustrating an example of information regarding secondary information on the amount of electricity consumed for Type 2 facilities and other secondary information on the amount of electricity consumed for other Type 2 facilities, which are obtained before the statistical system's creation unit creates the statistical data. [Figure 8B] Figure 8B shows an example of information regarding statistical data created by the statistical system's creation unit, based on information regarding other second-level information concerning the amount of electricity consumed for other facilities of the second type shown in Figure 8A. [Modes for carrying out the invention]

[0010] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that each of the embodiments described below shows a specific example of the present disclosure. Therefore, the numerical values, shapes, materials, components, arrangement positions and connection forms of the components shown in the following embodiments, as well as the steps and the order of the steps, etc. are merely examples and are not intended to limit the present disclosure. Therefore, among the components in the following embodiments, the components not described in the independent claims of the present disclosure are described as optional components.

[0011] Note that each figure is a schematic diagram and is not necessarily drawn precisely. Also, in each figure, the same reference numerals are given to substantially the same configurations, and duplicate explanations may be omitted or simplified.

[0012] (Embodiment) [Configuration] First, the configuration of the statistical system according to the embodiment will be described. FIG. 1 is a block diagram showing the configuration of the power amount estimation system 1 including the statistical system 40 according to the embodiment. The power amount estimation system 1 shown in FIG. 1 is composed of a first type of facility 10, a second type of facility 20, a general power transmission and distribution company 30, a statistical system 40, and a terminal device 50.

[0013] The first type of facility 10 is a facility equipped with a smart meter 11. The first type of facility 10 may be, for example, a large-scale building (non-residential facility) consisting of several floors used as a commercial facility or an office, etc., or one tenant (non-residential facility) in a large-scale building consisting of several floors. Note that the first type of facility 10 may be other non-residential facilities such as a hospital or a factory, or a residence (detached house or apartment house).

[0014] The smart meter 11 is an electricity meter that digitally measures the amount of electricity consumed in the Type 1 facility 10 and transmits the first information regarding the measured amount of electricity consumed to the general power transmission and distribution company 30. The smart meter 11 measures the total amount of electricity used in the Type 1 facility 10. In addition, the smart meter 11 measures the amount of electricity consumed in the Type 1 facility 10 every 30 minutes, for example, and transmits the first information regarding the measured amount of electricity consumed to the general power transmission and distribution company 30 on a daily basis. The first information refers to information regarding the amount of electricity consumed measured by the smart meter 11.

[0015] The second type of facility 20 is a facility equipped with means for measuring power consumption other than the smart meter 11 (i.e., a measuring device 21). Similar to the first type of facility 10, the second type of facility 20 may be a large building consisting of several floors used as a commercial facility or office (a non-residential facility), or it may be a single tenant (a non-residential facility) within a large building consisting of several floors. The second type of facility 20 may also be other non-residential facilities such as a hospital or factory, or it may be a residence (a detached house or an apartment building). Furthermore, the second type of facility 20 is equipped with a measuring device 21 and a communication unit 22.

[0016] The measuring device 21 is a device for measuring the amount of power consumed in the Type 2 facility 20. The measuring device 21 may measure the amount of power consumed on each floor of the Type 2 facility 20, or it may measure the amount of power consumed on each piece of equipment installed in the Type 2 facility 20 (e.g., lighting system and air conditioning system). In addition, the measuring device 21 measures power consumption more frequently than the smart meter 11, for example, by measuring the amount of power consumed in the Type 2 facility 20 every minute.

[0017] The communication unit 22 is a processing unit that transmits second information regarding the amount of power consumption measured by the measuring device 21 to the statistical system 40, and is, for example, a communication circuit. The communication unit 22 performs communication using, for example, a wide-area communication network. This communication may be wired or wireless. The communication unit 22 transmits the second information to the statistical system 40 each time the amount of power consumption is measured by the measuring device 21. The second information is information regarding the amount of power consumption measured by the measuring device 21.

[0018] The general power transmission and distribution operator 30 is a business that supplies electricity to the Type 1 facility 10. The general power transmission and distribution operator 30 also has a data management system 31.

[0019] The data management system 31 is a system that collects and manages the first information transmitted from the smart meter 11, and is implemented, for example, by one or more web servers (cloud servers).

[0020] The statistical system 40 is a system that creates and outputs statistical data on power consumption based on first information regarding power consumption at facility 10 of type 1 and second information regarding power consumption at facility 20 of type 2, and is implemented, for example, by one or more web servers (cloud servers).

[0021] The statistical system 40 comprises a first acquisition unit 41, a second acquisition unit 42, a creation unit 43, and an output unit 44.

[0022] The first acquisition unit 41 is a processing unit that acquires first information from the data management system 31 of the general power transmission and distribution operator 30, that is, it acquires first information via the C route, and is, for example, a communication circuit. The C route refers to a communication path for acquiring first information regarding the amount of power consumed at the first type of facility 10 via the data management system 31 of the general power transmission and distribution operator 30. The first acquisition unit 41 acquires first information, for example, once a day. The first acquisition unit 41 also performs communication using, for example, a wide-area communication network. This communication may be wired or wireless.

[0023] The second acquisition unit 42 is a processing unit that acquires second information transmitted from the communication unit 22 of the second type of facility 20, and is, for example, a communication circuit. The frequency at which the second acquisition unit 42 acquires the second information is higher than the frequency at which the first acquisition unit 41 acquires the first information; for example, the second acquisition unit 42 acquires the second information every minute. The second acquisition unit 42 also performs communication using, for example, a wide-area communication network. This communication may be wired or wireless.

[0024] The creation unit 43 creates statistical data on the amount of electricity consumed at the facility associated with the identification information, based on the information associated with the identification information from the first information acquired by the first acquisition unit 41 and the second information acquired by the second acquisition unit 42. The identification information is information about the facility for which the creation unit 43 is creating statistical data (i.e., the facility of type 1 1 or the facility of type 2 20). A detailed explanation of the identification information will be given later.

[0025] The output unit 44 is a processing unit that outputs information about the statistical data created by the creation unit 43 to the terminal device 50, and is, for example, a communication circuit. The output unit 44 performs communication using, for example, a wide-area communication network. This communication may be wired or wireless. The output unit 44 may also output to the terminal device 50 the first information acquired by the first acquisition unit 41 or the second information acquired by the second acquisition unit 42.

[0026] The terminal device 50 is an information terminal operated by a user of the first type of facility 10 (for example, the manager of the first type of facility 10) or a user of the second type of facility 20 (for example, the manager of the second type of facility 20). The terminal device 50 may be a portable information terminal such as a smartphone or tablet, or a stationary information terminal such as a personal computer. The terminal device 50 comprises a communication unit 51, a control unit 52, and a display unit 53.

[0027] The communication unit 51 is a processing unit that receives information related to statistical data output by the output unit 44 of the statistical system 40, and is, for example, a communication circuit. The communication unit 51 performs communication using, for example, a wide-area communication network. This communication may be wired or wireless.

[0028] The control unit 52 performs display processing, etc., to display information such as statistical data received by the communication unit 51 on the display unit 53. The control unit 52 is implemented by, for example, a microcomputer, but may also be implemented by a processor. The functions of the control unit 52 are realized, for example, by the microcomputer or processor constituting the control unit 52 executing a computer program stored in memory.

[0029] The display unit 53 displays information related to statistical data, etc. The display unit 53 is implemented by a display panel such as a liquid crystal panel or an organic EL panel.

[0030] Although not shown in Figure 1, the first type of facility 10 may have a measuring device 21 installed, and the second type of facility 20 may have a smart meter 11 installed.

[0031] [Identification Information] The identification information described above will now be explained. Identification information includes, for example, area information, facility usage information, unit cost information, and equipment information.

[0032] Area information refers to information about the location of facility 10 of type 1 and facility 20 of type 2. For example, area information includes information about the prefecture or address where facility 10 of type 1 and facility 20 of type 2 are located.

[0033] Facility use information refers to information regarding the intended use of facilities 10 of type 1 and facilities 20 of type 2. For example, facility use information is information that classifies facility uses, such as office buildings, wholesale businesses, retail businesses, restaurants, schools, hotels, inns, hospitals, and other service industries.

[0034] The unit cost information is information relating to facility 10 of type 1 and facility 20 of type 2. For example, the unit cost information may be information relating to the total floor area of ​​facility 10 of type 1 and facility 20 of type 2, or it may be information relating to the daily sales revenue or the number of products produced per day at facility 10 of type 1 and facility 20 of type 2.

[0035] The equipment information is information relating to the equipment installed in facility 10 of type 1 and facility 20 of type 2. For example, the equipment information may be information relating to a lighting system or lighting equipment that illuminates the space within facility 10 of type 1 or facility 20 of type 2, or it may be information relating to an air conditioning system or air conditioning equipment that adjusts the temperature of the space within facility 10 of type 1 or facility 20 of type 2 by supplying temperature-controlled air.

[0036] Based on the information contained in the identification information described above, the creation unit 43 creates statistical data using the information with the highest degree of similarity from the first information and the second information. For example, if the area information associated with the first information and the area information associated with the second information refer to the same prefecture or the same municipality, the creation unit 43 determines that the first information and the second information have a high degree of similarity and creates statistical data based on the first information and the second information.

[0037] [Statistical System Operation] Figure 2 is a flowchart showing the operation of the statistical system 40.

[0038] The first acquisition unit 41 acquires first information regarding the amount of electricity consumed at the first type of facility 10 via the C route (S1). In other words, the first acquisition unit 41 acquires first information regarding the amount of electricity consumed measured by the smart meter 11 via the data management system 31 of the general power transmission and distribution operator 30.

[0039] The second acquisition unit 42 acquires second information regarding the amount of power consumed in the second type of facility 20 from the communication unit 22 of the second type of facility 20 (S2).

[0040] The creation unit 43 generates statistical data on the amount of electricity consumed at the facility associated with the identification information, based on the information associated with the identification information from the first information obtained in step S1 and the second information obtained in step S2 (S3). In other words, the creation unit 43 creates statistical data using the information with the highest similarity from the obtained first and second information.

[0041] The output unit 44 outputs information regarding the statistical data created in step S3 to the communication unit 51 of the terminal device 50 (S4).

[0042] Note that the order of steps S1 and S2 may be reversed. Also, either step S1 or step S2 may be omitted.

[0043] Furthermore, the second acquisition unit 42 may acquire the second information multiple times.

[0044] [Example of operations in creating statistical data 1] Operation Example 1 describes an example in which, when the statistical system 40 is unable to acquire the first information, it uses other information already acquired to create statistical data regarding the power consumption of the first type of facility 10. Figure 3 is a flowchart showing a detailed operation example 1 of step S3 shown in Figure 2.

[0045] The creation unit 43 creates statistical data on the amount of power consumed by the first type of facility 10 at a point in time when the first acquisition unit 41 is unable to acquire the first information, based on the first information or second information acquired in the past (S11). In step S11, the creation unit 43 creates statistical data based on the first information or second information acquired in the past, among the information associated with the identification information of the acquired first and second information. For example, the creation unit 43 creates statistical data based on the first information acquired up to the previous day, or creates statistical data based on the second information acquired up to a point in time when the first acquisition unit 41 is unable to acquire the first information.

[0046] The following are specific examples of operation example 1. Figure 4A shows an example of information regarding the first and second information already acquired before the creation unit 43 of the statistical system 40 creates the statistical data. Figure 4B shows an example of information regarding the statistical data created by the creation unit 43 of the statistical system 40 based on the information regarding the first information shown in Figure 4A. Figure 4C shows an example of information regarding the statistical data created by the creation unit 43 of the statistical system 40 based on the information regarding the second information shown in Figure 4A.

[0047] As shown in Figure 4A, the upper section shows the first graph G1 relating to the power consumption of facility 10 of type 1, and the lower section shows the second graphs G2 and G2' relating to the power consumption of facility 20 of type 2. The first graph G1 is a series of graphs displayed daily based on the first information acquired up to the previous day, and is an example of information relating to the first information. Similarly, the second graphs G2 and G2' are a series of graphs displayed daily based on the second information acquired up to the point when the first acquisition unit 41 could no longer acquire the first information, and are an example of information relating to the second information. Furthermore, the first graph G1 is represented, for example, as a line graph showing the total power consumption of facility 10 of type 1, with the horizontal axis indicating the measurement time of power consumption and the vertical axis indicating power consumption. The second graphs G2 and G2' are represented, for example, as bar graphs showing the power consumption of each piece of equipment installed in facility 20 of type 2, with the horizontal line indicating the measurement time of power consumption and the vertical axis indicating power consumption. In Figure 4A, the second graph G2 shows yesterday's power consumption, and the second graph G2' shows today's power consumption; the same applies to subsequent figures.

[0048] As shown in Figure 4B, the upper section of the column for today shows statistical graph G3 regarding the power consumption of facility 10 of type 1. Statistical graph G3 is represented, for example, by a bar graph showing the predicted power consumption for each piece of equipment installed in facility 10 of type 1, with the horizontal line indicating the measurement time of power consumption and the vertical axis indicating power consumption. In other words, statistical graph G3 is an example of information regarding statistical data.

[0049] Figure 4B illustrates a specific example of the process by which the creation unit 43 creates a statistical graph G3 relating to today's power consumption for the first type of facility 10, based on the first graph G1.

[0050] First, we will explain an example of the specific process by which the creation unit 43 creates a statistical graph G3 based on the first graph G1 which shows past power consumption. In the example below, the creation unit 43 creates the statistical graph G3 based on the assumption that the load curve of today's power consumption at facility 10 of type 1 is similar to the load curve of power consumption included in the first information obtained in the past.

[0051] The creation unit 43 creates a statistical graph G3 based on a first graph G1 that shows the amount of electricity consumed on the previous day, the same day of the previous week, or the same day of the previous year. The creation unit 43 creates the statistical graph G3 based on the assumption that the load curve of electricity consumption in the first graph G1 (for example, the operating hours of the first type of facility 10, the base amount of electricity during late night or early morning, and the way in which the electricity consumption peaks) is similar to the load curve of electricity consumption on the first type of facility 10 today. Specifically, the creation unit 43 creates the statistical graph G3 (i.e., statistical data) by duplicating the first graph G1 that shows the amount of electricity consumed on the previous day, the same day of the previous week, or the same day of the previous year.

[0052] In this way, the statistical system 40 creates statistical data based on the first information acquired in the past, and can create and output statistical data that reflects the power usage status of the first type of facility 10 acquired in the past. As a result, the statistical system 40 can encourage users of the first type of facility 10 to take actions to reduce the amount of power consumed in the facility (for example, turning off the lighting system during the daytime or raising the temperature setting of the air conditioning system).

[0053] Next, Figure 4C describes an example of the specific process by which the creation unit 43 creates a statistical graph G3 based on the second graph G2' showing today's power consumption. In the example below, the creation unit 43 creates the statistical graph G3 based on the hypothesis that the load curve of today's power consumption at facility 10 of type 1 is similar to the load curve of power consumption included in the second information obtained from facility 20 of type 2, which is highly similar.

[0054] Based on the information contained in the identification information, the creation unit 43 identifies a second graph G2' for a second type of facility 20 that is highly similar to the first type of facility 10. For example, the creation unit 43 identifies a second graph G2' for a second type of facility 20 that is in an area close to the first type of facility 10, or a second graph G2' for a second type of facility 20 that has the same facility use as the first type of facility 10. Specifically, the creation unit 43 uses the total floor area of ​​the second type of facility 20 to determine the power consumption of each piece of equipment (e.g., an air conditioning system or a lighting system) at each measurement time in 1 m³. 2 It converts the power consumption per unit. Then, the creation unit 43 converts the 1m 2 By multiplying the power consumption per unit area by the total floor area of ​​the Type 1 facility 10, the load curve of power consumption for the Type 1 facility 10 is estimated, and the information regarding the estimated power consumption is created as a statistical graph G3. The creation unit 43 is for the 1m of the Type 2 facility 20. 2 Instead of using the power consumption per unit, the power consumption ratio for each piece of equipment at each measurement time may be multiplied by the total floor area of ​​the Type 1 facility 10 to estimate the power consumption load curve for the Type 1 facility 10, and the information regarding the estimated power consumption may be created as a statistical graph G3.

[0055] In this way, the statistical system 40 creates statistical data based on the second information, which is acquired more frequently than the first information, so it can estimate power consumption for each piece of equipment in near real-time and output information about the estimated power consumption as statistical data. As a result, the statistical system 40 can encourage users of the first type of facility 10 to take actions to reduce power consumption in the first type of facility 10 (for example, turning off the lighting system during the daytime or raising the temperature setting of the air conditioning system).

[0056] The creation unit 43 may create a statistical graph G3 based on information from both the first graph G1, which shows the past power consumption of the first type of facility 10, and the second graph G2', which shows the current power consumption of the second type of facility 20.

[0057] Furthermore, the data creation unit 43 may create statistical data by referring to weather information such as temperature or weather conditions around the Type 1 facility 10 for which statistical data is to be created. For example, if the predicted temperature around the Type 1 facility 10 is high (for example, above 30°C), the data creation unit 43 may determine that there is a high probability that the air conditioning system will be in operation, and create statistical data taking into account the amount of power consumption affected by the operation of the air conditioning system. In this way, the statistical system 40 can create statistical data that reflects the conditions around the Type 1 facility 10.

[0058] [Example of operations in creating statistical data 2] In Operation Example 2, when the statistical system 40 is unable to acquire the second information, it describes an example in which information regarding the power consumption of one of the facilities 20 of the second type is created as statistical data using other information that has already been acquired. Figure 5 is a flowchart showing a detailed operation example 2 of step S3 shown in Figure 2.

[0059] First, the second acquisition unit 42 acquires information regarding the power consumption of the second type of facility 20 that could not be acquired (S21).

[0060] The output unit 44 outputs information regarding the power consumption of the second type of facility 20 that the second acquisition unit 42 was unable to acquire to the terminal device 50 (S22). Figure 6A shows an example of when the power consumption information output in step S22 of Figure 5 is displayed on the display unit 53 of the terminal device 50.

[0061] As shown in Figure 6A, a notification screen indicating that power consumption could not be obtained is displayed on the display unit 53 of the terminal device 50 operated by the user of the Type 2 facility 20.

[0062] Returning to the explanation in Figure 5, the creation unit 43 creates statistical data regarding the power consumption of the Type 2 facilities 20 that the second acquisition unit 42 could not acquire, based on first information regarding the power consumption of the Type 1 facilities 10, or other second information regarding the power consumption of other Type 2 facilities 20 (i.e., other facilities where the measuring device 21 is installed) (S23). In step S23, the creation unit 43 creates statistical data based on first information regarding the power consumption of the Type 1 facilities 10, or other second information regarding the power consumption of other Type 2 facilities 20, from among the information associated with the identification information of the acquired first and second information.

[0063] The output unit 44 distinguishes between the second information regarding the power consumption of the second type of facility 20 acquired by the second acquisition unit 42 (i.e., the second information acquired in step S2 of Figure 2) and the statistical data regarding the power consumption of the second type of facility 20 created by the creation unit 43 (i.e., the statistical data created in step S23), and outputs them to the terminal device 50 (S24). Figure 6B shows an example of when the information regarding the second information and statistical data output in step S24 of Figure 5 is displayed on the display unit 53 of the terminal device 50.

[0064] As shown in Figure 6B, the display unit 53 of the terminal device 50 operated by the user of the second type of facility 20 shows the second graph G2 and the statistical graph G3 superimposed on each other. For example, the second graph G2 is represented as a bar graph based on the second information acquired by the second acquisition unit 42, and the statistical graph G3 shown in the area enclosed by the dashed line is represented as a bar graph based on statistical data created by the creation unit 43. In addition, in the graph shown in Figure 6B, the horizontal line indicates the measurement time of power consumption, and the vertical axis indicates power consumption.

[0065] As shown in Figure 6B, statistical graph G3 is displayed more faintly (grayed out) than, for example, the second graph G2. The dashed line shown in Figure 6B does not necessarily need to be displayed. Furthermore, the second graph G2 and statistical graph G3 may be distinguished by a difference in color.

[0066] Furthermore, the information regarding the second set of information and statistical data shown in Figure 6B may be presented, for example, in tabular format.

[0067] The following is a specific example of operation example 2. This example describes an instance in which the creation unit 43 creates statistical data based on the first information. Figure 7A shows an example of information regarding the first and second information acquired before the creation unit 43 of the statistical system 40 creates the statistical data. Figure 7B shows an example of information regarding the statistical data created by the creation unit 43 of the statistical system 40 based on the information regarding the first information shown in Figure 7A.

[0068] As shown in Figure 7A, similar to Figure 4A, the upper section shows the first graph G1 relating to the power consumption of the first type of facility 10, and the lower section shows the second graph G2 relating to the power consumption of the second type of facility 20. In the second graph G2 shown in the previous day column of the lower section, information regarding the power consumption of the second type of facility 20 that could not be acquired by the second acquisition unit 42 due to reasons such as communication failure is shown as a blank space (area enclosed by a dashed line).

[0069] As shown in Figure 7B, the information regarding the power consumption of facility 20 of type 2, which was shown as blank in Figure 7A, is interpolated in statistical graph G3. Statistical graph G3 shown in Figure 7B contains information about the statistical data created by the creation unit 43 based on the first graph G1.

[0070] The following describes a specific example of the process by which the creation unit 43 creates a statistical graph G3 regarding the power consumption of facility 20 of type 2 based on the first graph G1. In the example below, the creation unit 43 creates the statistical graph G3 (i.e., statistical data) based on the hypothesis that the load curve of power consumption of facility 20 of type 2, which could not be obtained by the second acquisition unit 42, is similar to the load curve of power consumption included in the first information obtained from facility 10 of type 1, which is highly similar.

[0071] Based on the information contained in the identification information, the creation unit 43 identifies the first information (i.e., the first graph G1) obtained from the first type facility 10 which is highly similar to the second type facility 20. From the identified first information, the creation unit 43 calculates the amount of power consumption corresponding to the time when the second acquisition unit 42 was unable to acquire the second information, using the total floor area of ​​the first type facility 10, in units of 1 m 2 It converts the power consumption per unit. Then, the creation unit 43 converts the 1m 2 By multiplying the power consumption per unit area by the total floor area of ​​the second type of facility 20, the load curve of the power consumption of the second type of facility 20 is estimated, and the information regarding the estimated power consumption is created as a statistical graph G3 (i.e., statistical data). The creation unit 43 is 1 m 2 Instead of using the power consumption per unit, the power consumption for each piece of equipment (e.g., a lighting system or an air conditioning system) indicated by the second information acquired by the second acquisition unit 42 may be multiplied by the total floor area of ​​the second type of facility 20 to estimate the power consumption for each piece of equipment, and a statistical graph G3 (i.e., statistical data) may be created.

[0072] Based on the above explanation, the statistical system 40 creates statistical data based on the first information regarding the amount of power consumed by the second type of facility 20 that the second acquisition unit 42 was unable to acquire. This allows the statistical system 40 to output information regarding statistical data that interpolates the amount of power consumed by the second type of facility 20 that the second acquisition unit 42 was unable to acquire.

[0073] Furthermore, the statistical system 40 can prompt users of Type 2 facilities 20 to check the measuring device 21, etc., by notifying them of the power consumption information for Type 2 facilities 20 that could not be obtained by the second acquisition unit 42.

[0074] Furthermore, since this statistical system 40 distinguishes between the second information acquired by the second acquisition unit 42 and the statistical data created by the creation unit 43 and outputs them separately, users of the second type of facility 20 can distinguish between the second information and the statistical data.

[0075] Next, we will show another specific example of operation example 2. In this example, we will describe an example in which the creation unit 43 creates statistical data based on second information regarding the power consumption of other facilities 20 of type 2. Figure 8A is a diagram showing an example of information regarding the second information regarding the power consumption of facilities 20 of type 2 and other second information regarding the power consumption of other facilities 20 of type 2 that has been acquired before the creation unit 43 of the statistical system 40 creates the statistical data. Figure 8B is a diagram showing an example of information regarding the statistical data created by the creation unit 43 of the statistical system 40 based on the information regarding the other second information regarding the power consumption of other facilities 20 of type 2 shown in Figure 8A.

[0076] As shown in Figure 8A, similar to Figure 7A, the lower section shows a second graph G2 relating to the power consumption of facility 20 of type 2. In the lower section, the second graph G2 shown in the previous day column indicates information regarding the power consumption of facility 20 of type 2 that could not be acquired by the second acquisition unit 42 as blank (area enclosed by a dashed line). In addition, the upper section shows other second graphs G4 and G4' relating to the power consumption of other facilities 20 of type 2. The other second graphs G4 and G4' are multiple graphs displayed day by day based on other acquired second information, and are examples of information related to other second information. Note that in Figure 8A, the other second graph G4 is a graph showing yesterday's power consumption, and the other second graph G4' is a graph showing today's power consumption, and the same applies in subsequent figures.

[0077] As shown in Figure 8B, the information regarding the power consumption of facility 20 of type 2, which was previously shown as blank, is interpolated in statistical graph G3. Statistical graph G3 shown in Figure 8B is information regarding statistical data created by the creation unit 43 based on another graph G4 of type 2, which concerns the power consumption of other facilities 20 of type 2.

[0078] The following describes an example of specific processing when the creation unit 43 creates the statistical graph G3 regarding the power consumption of the second type of facility 20 based on another second graph G4 regarding the power consumption of another facility 20 of the second type. In the following example, based on the hypothesis that the load curve of the power consumption of the second type of facility 20 that the second acquisition unit 42 could not acquire is similar to the load curve of the power consumption included in another second piece of information acquired from another facility 20 of the second type with high similarity, the creation unit 43 creates the statistical graph G3 (that is, statistical data).

[0079] Based on the information included in the identification information, the creation unit 43 specifies another second piece of information (that is, another second graph G4) acquired from another facility 20 of the second type that is highly similar to the second type of facility 20. Among the specified another second piece of information, the creation unit 43 uses the floor area of the other facility 20 of the second type to convert the power consumption of each facility corresponding to the time when the second acquisition unit 42 could not acquire the second piece of information into the power consumption of each facility per 1 m 2 Then, the creation unit 43 multiplies the power consumption of each facility per 1 m 2 after conversion by the floor area of the second type of facility 20 to estimate the load curve of the power consumption of the second type of facility 20, and creates information regarding the estimated power consumption as the statistical graph G3 (that is, statistical data). Note that instead of the power consumption per 1 m 2 of the other facility 20 of the second type, the creation unit 43 may multiply the floor area of the second type of facility 20 by the power consumption ratio of each facility of the other facility 20 of the second type at each measurement time to estimate the load curve of the power consumption of the second type of facility 20, and create information regarding the estimated power consumption as the statistical graph G3.

[0080] Note that when the second graph G2' indicating the power consumption of the second type of facility 20 today is missing (the second acquisition unit 42 could not acquire the second piece of information), the creation unit 43 may create the statistical graph G3 using another second graph G4' indicating the power consumption of the other facility 20 of the second type today.

[0081] Based on the above explanation, the statistical system 40 creates statistical data on the power consumption of any facility 20 of the second type that the second acquisition unit 42 could not acquire, based on other second information regarding the power consumption of other facilities 20 of the second type. This allows the statistical system 40 to output information on statistical data that interpolates the power consumption information for the second type facilities 20 that the second acquisition unit 42 could not acquire.

[0082] [Effects, etc.] The above describes examples of inventions that can be obtained from the disclosures in this specification, and explains the effects and other benefits that can be obtained from such inventions.

[0083] Invention 1 is a statistical system 40 comprising: a first acquisition unit 41 that acquires first information regarding the amount of power consumed in a first type of facility 10 equipped with a smart meter 11 via route C; a second acquisition unit 42 that acquires second information regarding the amount of power consumed in a second type of facility 20 different from the first type of facility 10, equipped with measuring means 21 other than the smart meter 11; a creation unit 43 that creates statistical data regarding the amount of power consumed in the facility associated with the identification information based on the information associated with the identification information from the acquired first and second information; and an output unit 44 that outputs information regarding the created statistical data.

[0084] Such a statistical system 40 creates statistical data based on first and second information, which are information on the amount of electricity consumed at different facilities. In other words, it can use not only the amount of electricity consumed every 30 minutes, but also the amount of electricity consumed at different frequencies, so it can estimate and output the load curve of electricity usage for the day.

[0085] Invention 2 is the statistical system 40 of Invention 1, wherein the second type of facility 20 includes any of the facilities that are part of a collection of multiple facilities.

[0086] Such a statistical system 40 can target Type 2 facilities 20 that include any of the facilities within a complex of multiple facilities.

[0087] Invention 3 is a statistical system 40 of Invention 1 or 2, wherein the creation unit 43 creates statistical data on the amount of power consumed for a facility of type 10 at a time when the first acquisition unit 41 cannot acquire the first information, based on the first information acquired in the past.

[0088] Since such a statistical system 40 creates statistical data based on previously acquired first information, it can create and output statistical data that reflects the power usage status of the first type of facility 10 acquired in the past. As a result, the statistical system 40 can encourage users of the first type of facility 10 to take actions to reduce the power consumption of the first type of facility 10 (for example, turning off the lighting system during the daytime or raising the temperature setting of the air conditioning system).

[0089] Invention 4 is a statistical system 40 according to any of Inventions 1 to 3, wherein the creation unit 43 creates statistical data based on second information, using information regarding the amount of power consumed for a first type of facility 10 at a time when the first acquisition unit 41 cannot acquire first information.

[0090] Since this statistical system 40 creates statistical data based on the second information, which is acquired more frequently than the first information, it can estimate power consumption for each piece of equipment in near real-time and output information about the estimated power consumption as statistical data. As a result, the statistical system 40 can encourage users of the first type of facility 10 to take actions to reduce power consumption in the first type of facility 10 (for example, turning off the lighting system during the daytime or raising the temperature setting of the air conditioning system).

[0091] Invention 5 is a statistical system 40 according to any of Inventions 1 to 4, wherein the output unit 44 outputs information regarding the amount of power consumed for the second type of facility 20 that could not be acquired by the second acquisition unit 42.

[0092] Such a statistical system 40 outputs information regarding the power consumption of Type 2 facilities 20 that could not be acquired by the second acquisition unit 42. As a result, the statistical system 40 can notify the users of Type 2 facilities 20 of the information regarding the power consumption of Type 2 facilities 20 that could not be acquired by the second acquisition unit 42, and prompt the users to check the measuring device 21, etc.

[0093] Invention 6 is a statistical system 40 according to any of Inventions 1 to 5, wherein the creation unit 43 creates statistical data based on the first information regarding the amount of power consumed for the second type of facility 20 that the second acquisition unit 42 could not acquire.

[0094] Such a statistical system 40 creates statistical data based on the first information regarding the amount of power consumed by the second type of facility 20 that the second acquisition unit 42 could not acquire. As a result, the statistical system 40 can output information regarding statistical data that interpolates the amount of power consumed by the second type of facility 20 that the second acquisition unit 42 could not acquire.

[0095] Invention 7 is a statistical system 40 according to any of Inventions 1 to 5, wherein the creation unit 43 creates statistical data on the amount of power consumed for any facility 20 of a plurality of facilities of type 2 that could not be acquired by the second acquisition unit 42, based on other second information regarding the amount of power consumed for other facilities 20 of type 2.

[0096] Such a statistical system 40 creates statistical data based on other second information regarding the power consumption of other facilities 20 of the second type, using information about the power consumption of any of the facilities 20 of the second type that could not be acquired by the second acquisition unit 42. As a result, the statistical system 40 can output information about statistical data that interpolates the information about the power consumption of the facilities 20 of the second type that could not be acquired by the second acquisition unit 42.

[0097] Invention 8 is a statistical system 40 of Invention 6 or 7, wherein the output unit 44 distinguishes and outputs second information regarding the amount of power consumed for the second type of facility 20 acquired by the second acquisition unit 42 and statistical data as information regarding the amount of power consumed for the second type of facility 20 created by the creation unit 43.

[0098] Such a statistical system 40 distinguishes between the second information acquired by the second acquisition unit 42 and the statistical data created by the creation unit 43 when outputting them, so that users of the second type of facility 20 can distinguish between the second information and the statistical data.

[0099] Invention 9 is a statistical method that includes: a first acquisition step (S1) of acquiring first information regarding the amount of power consumed in a first type of facility 10 equipped with a smart meter 11 via route C; a second acquisition step (S2) of acquiring second information regarding the amount of power consumed in a second type of facility 20 different from the first type of facility 10, equipped with measuring means 21 other than the smart meter 11; a creation step (S3) of creating statistical data regarding the amount of power consumed in a facility associated with an identification information based on the information associated with the identification information from the acquired first and second information; and an output step (S4) of outputting information regarding the created statistical data.

[0100] This statistical method creates statistical data based on first and second information, which are information about the amount of electricity consumed at different facilities. In other words, it can use electricity consumption at different frequencies, not just every 30 minutes, so it can estimate and output the load curve of electricity usage for the day.

[0101] Invention 10 is a program for causing a computer to perform the steps included in the statistical method of Invention 9.

[0102] Such programs produce similar effects to the statistical methods described above.

[0103] (Other embodiments) Although statistical systems, etc., relating to one or more embodiments have been described above based on the above embodiments, this disclosure is not limited to the above embodiments. Without departing from the spirit of this disclosure, various modifications that a person skilled in the art could conceive of may be applied to the above embodiments, and forms constructed by combining components from different embodiments may also be included within the scope of one or more embodiments.

[0104] For example, in the above embodiment, the statistical system may be implemented by one device or by multiple devices. When the statistical system is implemented by multiple devices, the components of the statistical system (in particular, the functional components) may be distributed among the multiple devices in any way.

[0105] Furthermore, in the above embodiment, the processing performed by a specific processing unit may be performed by another processing unit. Also, the order of multiple processing units may be changed, or multiple processing units may be executed in parallel.

[0106] Furthermore, the communication method between devices in the above embodiment is not particularly limited. In addition, relay devices (not shown) may be involved in the communication between devices.

[0107] Furthermore, in the above embodiment, each component may be implemented by being composed of dedicated hardware or by executing a software program suitable for each component. Each component may also be implemented by a program execution unit such as a CPU or processor reading and executing a software program stored on a recording medium such as a hard disk or semiconductor memory.

[0108] Furthermore, some or all of the functions of the statistical system according to the above embodiment may be realized by a processor such as a CPU executing a program.

[0109] Some or all of the components constituting each of the above devices may consist of detachable IC cards or standalone modules attached to each device. The IC card or module is a computer system composed of a microprocessor, ROM, RAM, etc. The IC card or module may include a highly functional LSI. The microprocessor operates according to a computer program, thereby enabling the IC card or module to achieve its function. The IC card or module may also be tamper-resistant.

[0110] Furthermore, the general or specific embodiments of this disclosure may be implemented as a system, apparatus, method, integrated circuit, computer program, or recording medium such as a computer-readable CD-ROM. They may also be implemented in any combination of systems, apparatus, methods, integrated circuits, computer programs, and recording media.

[0111] For example, this disclosure may be implemented as a determination method executed by a computer, such as the statistical system of the above embodiment, or as a program to cause a computer to execute the determination method. Furthermore, the present invention may be implemented as a computer-readable non-temporary recording medium on which such a program is recorded. In other words, the program is a computer program product. Such a program includes an application program to cause a computer, such as a general-purpose information terminal, to function as an information terminal in the above embodiment. [Explanation of Symbols]

[0112] 10. Type 1 facilities 11. Smart Meter 20. Type 2 facilities 21. Measuring devices (measuring means other than smart meters) 40 Statistical Systems 41 First acquisition part 42 Second acquisition part 43 Creation Section 44 Output section

Claims

1. A first acquisition unit that acquires first information regarding the amount of electricity consumed in a Type 1 facility equipped with a smart meter via Route C, A second acquisition unit that acquires second information regarding the amount of electricity consumed in a facility of type 2, which is different from the first type of facility, and is equipped with measurement means other than smart meters, A creation unit that creates statistical data on the amount of electricity consumed at a facility associated with the identification information, based on the information associated with the identification information from the acquired first information and second information, It includes an output unit that outputs information about the statistical data that has been created, Statistical system.

2. The second type of facility described above includes any of the facilities that are part of a complex of multiple facilities, The statistical system according to claim 1.

3. The creation unit creates statistical data based on previously acquired first information, using information regarding the amount of power consumed for the first type of facility at a time when the first acquisition unit is unable to acquire the first information. The statistical system according to claim 1.

4. The creation unit creates statistical data based on the second information, using information regarding the amount of electricity consumed for the first type of facility at a time when the first acquisition unit is unable to acquire the first information. The statistical system according to claim 1.

5. The output unit outputs information regarding the amount of power consumed for the second type of facility that the second acquisition unit could not acquire. The statistical system according to claim 1.

6. The creation unit creates statistical data based on the first information, using information regarding the power consumption of the second type of facility that the second acquisition unit could not acquire. The statistical system according to claim 1.

7. The creation unit creates statistical data using information on the power consumption of any of the multiple facilities of the second type that the second acquisition unit could not acquire, based on other second information regarding the power consumption of other facilities of the second type. The statistical system according to claim 1.

8. The output unit distinguishes and outputs the second information relating to the power consumption of the second type of facility acquired by the second acquisition unit and the statistical data relating to the power consumption of the second type of facility created by the creation unit. The statistical system according to claim 6 or 7.

9. A first acquisition step involves obtaining first information regarding the amount of electricity consumed in a Type 1 facility equipped with a smart meter via Route C, A second acquisition step involves acquiring second information regarding the amount of electricity consumed in a facility of type 2, which is different from the first type of facility, and is equipped with measurement means other than smart meters. A creation step of creating statistical data on the amount of electricity consumed at a facility associated with the identification information, based on the information associated with the identification information from the acquired first information and second information, The output step includes outputting information about the statistical data that has been created, statistical methods.

10. A program for causing a computer to execute the statistical method described in claim 9.

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