JP7442129B2 - Energy management system and information presentation method - Google Patents

Description

The present invention relates to an energy management system and the like that manage energy consumption in facilities.

In recent years, the introduction of HEMS (Home Energy Management System) to houses and BEMS (Building Energy Management System) to buildings and factories has progressed. According to such an EMS (Energy Management System), it is possible to "visualize" energy consumption, such as electricity or gas used in homes, buildings, and factories, by displaying it on a monitor.

As a technology related to visualization of such energy consumption, Patent Document 1 describes months when energy consumption is unique (singular months) and days when energy consumption is unique (singular days). A graph display device is disclosed that allows the details of a graph of energy consumption to be easily confirmed.

JP2018-49508A

The present invention provides an energy management system and the like that can support identification of causes of unusual energy consumption.

An energy management system according to one aspect of the present invention includes first time-series data of energy consumption in a main circuit provided in a facility, and first time-series data of energy consumption in each of a plurality of branch circuits branched from the main circuit. an acquisition unit that acquires two time-series data; an extraction unit that extracts a time interval in which energy consumption is unique in the first time-series data; an identification unit that identifies a branch circuit that is a cause of the occurrence of the peculiar time interval among the plurality of branch circuits by comparing the two branch circuits; and a presentation unit that presents information indicating the identified branch circuit. Be prepared.

An information presentation method according to one aspect of the present invention includes first time-series data of energy consumption in a main circuit provided in a facility, and first time-series data of energy consumption in each of a plurality of branch circuits branched from the main circuit. acquiring two time series data, extracting a time interval in which energy consumption is unique in the first time series data, and comparing the first time series data and each of the plurality of second time series data; Accordingly, among the plurality of branch circuits, the branch circuit that is the cause of the occurrence of the peculiar time interval is identified, and information indicating the identified branch circuit is presented.

A program according to one aspect of the present invention is a program for causing a computer to execute the information presentation method.

An energy management system or the like according to one aspect of the present invention can support identification of causes of unique energy consumption.

FIG. 1 is a block diagram showing the functional configuration of an energy management system according to an embodiment. FIG. 2 is a flowchart of the operation of the energy management system according to the embodiment. FIG. 3 is a diagram showing an example of the first image. FIG. 4 is a diagram illustrating an example of a first image in which a second object is displayed in a superimposed manner. FIG. 5 is a diagram showing an example of the second image. FIG. 6 is a flowchart of information processing in step S13. FIG. 7 is a diagram showing another example of the first screen on which the second object is superimposed. FIG. 8 is a flowchart of modification example 1 of the method for identifying a unique time interval. FIG. 9 is a diagram showing an example of schedule information.

Hereinafter, embodiments will be specifically described with reference to the drawings. Note that the embodiments described below are all inclusive or specific examples. The numerical values, shapes, materials, components, arrangement positions and connection forms of the components, steps, order of steps, etc. shown in the following embodiments are merely examples, and do not limit the present invention. Further, among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims will be described as arbitrary constituent elements.

Note that each figure is a schematic diagram and is not necessarily strictly illustrated. Furthermore, in each figure, substantially the same configurations are denoted by the same reference numerals, and overlapping explanations may be omitted or simplified.

(Embodiment)
[composition]
The configuration of the energy management system according to the embodiment will be explained. FIG. 1 is a block diagram showing the functional configuration of an energy management system according to an embodiment. As shown in FIG. 1, the energy management system 10 includes a measurement section 11, a communication section 12, an operation reception section 13, an output section 14, an information processing section 15, and a storage section 16. Further, in FIG. 1 , the power system 20 and a main circuit 31 and a plurality of branch circuits 32 provided in the facility 30 are also illustrated.

The measurement unit 11 measures the energy consumption (specifically, the power consumption) in the main circuit 31 provided in the facility 30 and the energy consumption (specifically, the power consumption) consumed in the plurality of branch circuits 32 provided in the facility 30. Specifically, it is a device that measures power consumption. The main circuit 31 corresponds to a main line from the power system 20 to the facility 30, and the branch circuits 32 are each of a plurality of circuits branched from the main line. One or more electrical devices are connected to each of the plurality of branch circuits 32 via an outlet. The number of multiple branch circuits 32 may reach several tens to hundreds when the facility 30 is large.

Specifically, the measurement unit 11 is a distribution board having a communication function and an energy consumption measurement function. The distribution board includes a CT (Current Transformer) provided in each of a main circuit 31 and a plurality of branch circuits 32, and measures energy consumption for each circuit using the CT. The specific aspect of the measurement unit 11 is not limited to a distribution board, and for example, the measurement unit 11 may be realized by one or more smart meters (a power meter with a communication function).

The communication unit 12 is a communication module (communication circuit) for the information processing unit 15 to communicate with the measurement unit 11. The communication performed by the communication unit 12 is, for example, wired communication, but may also be wireless communication. The communication standard used for communication is also not particularly limited.

The operation accepting unit 13 accepts a user's operation or voice input. The operation reception unit 13 is realized by, for example, a touch panel, a hardware button (mouse button), a microphone, or the like. The user's operation is, for example, a tap operation on a touch panel, a click operation on a hardware button, or a voice input into a microphone.

The output unit 14 outputs information. The output unit 14 is realized by a display panel such as a liquid crystal panel or an organic EL (Electro Luminescence) panel, and displays an image. Further, the output unit 14 may be realized by, for example, a speaker and may output audio.

The information processing unit 15 performs information processing related to "visualization" of energy consumption in the facility 30. For example, the information processing unit 15 periodically acquires data on energy consumption in the main circuit 31 and data on energy consumption in each of the plurality of branch circuits 32 from the measurement unit 11 through the communication unit 12, and stores the data. 16. As a result, the first time-series data of the energy consumption in the main circuit 31 and the second time-series data of the energy consumption in each of the plurality of branch circuits 32 are stored in the storage unit 16, and these time-series data are , updated from time to time. Each of the plurality of second time series data is given an ID and a name (installation location of the branch circuit 32, etc.) of the branch circuit 32 corresponding to the second time series data.

The information processing unit 15 is implemented, for example, by a microcomputer, but may also be implemented by a processor or a dedicated circuit. Specifically, the information processing section 15 includes an acquisition section 15a, an extraction section 15b, a specification section 15c, a presentation section 15d, and a prediction section 15e.

The storage unit 16 is a storage device that stores a program executed by the information processing unit 15, first time series data, and second time series data. The storage unit 16 is realized by, for example, an HDD (Hard Disk Drive) or a semiconductor memory.

Note that the communication unit 12, the operation reception unit 13, the output unit 14, the information processing unit 15, and the storage unit 16 are provided, for example, by a server device installed outside the facility 30; (e.g., an EMS controller). Further, some of the components of the communication unit 12, operation reception unit 13, output unit 14, information processing unit 15, and storage unit 16 are provided by devices provided in the facility 30, and other parts are provided by devices provided in the facility 30. may be implemented as a client server system by being provided in a server device outside the facility 30.

[motion]
The facility 30 is, for example, an office building, a commercial facility, an educational facility, a hospital, a nursing care facility, a factory, or a residence. When the energy consumption in the facility 30 is larger than normal or smaller than normal, it becomes more difficult to identify the cause (occurrence factor) as the facility 30 becomes larger. The energy management system 10 prevents such unique energy consumption by presenting the following information (specifically, displaying images on the output unit 14 and outputting audio from the output unit 14). It can help identify the cause of the occurrence. The operation of such energy management system 10 will be explained below. FIG. 2 is a flowchart of the operation of the energy management system 10.

As described above, the storage unit 16 stores first time series data of energy consumption in the main circuit 31 and second time series data of energy consumption in each of the plurality of branch circuits 32. When the operation reception unit 13 accepts the user's operation to instruct display of energy consumption (S11), the acquisition unit 15a acquires the first time series data and the second time series data stored in the storage unit 16. (S12).

Next, the extraction unit 15b extracts a time interval to be displayed from the acquired first time series data (S13). For example, when the operation receiving unit 13 receives an operation instructing to display the energy consumption amount from 15:00 to 16:00 on Mondays in the last three months, the extracting unit 15b extracts the first time series data. Divide into time intervals of one hour length, and extract the time interval corresponding to 15:00-16:00 on Mondays in the last three months. Note that details of the process in step S13 will be described later.

Next, the presentation unit 15d displays on the output unit 14 a first image that is a graph of energy consumption data in the extracted time interval (S14). FIG. 3 is a diagram showing an example of the first image. One bar graph shown in FIG. 3 shows the energy consumption for a certain date on Monday from 15:00 to 16:00.

Here, the first image shown in FIG. 3 includes a first object 14a that indicates a time period in which the amount of energy consumption is unique. In the example of FIG. 3, the first image includes two first objects. When the operation reception unit 13 accepts an operation on the first object 14a indicating a unique time interval (S15), the presentation unit 15d uses this as a trigger to select a branch circuit (unique A second object 14b indicating the branch circuit in which energy consumption was performed is displayed on the output unit 14 (S16). Note that the bar graph itself in the unique time interval in FIG. 3 may be used as the first object 14a. FIG. 4 is a diagram showing an example of a first image in which such a second object 14b is displayed in a superimposed manner.

When the operation reception unit 13 accepts the operation on the second object 14b (S17), the presentation unit 15d uses this as a trigger to graph the second time series data in the branch circuit 32 that is the cause of the occurrence of the unusual time interval. The converted second image is displayed on the output unit 14 (S18). FIG. 5 is a diagram showing an example of such a second image. As shown in FIG. 5, the second image is, for example, an image graphing the energy consumption in the branch circuit 32 from 15:00 to 16:00 on Mondays over the last three months.

In this way, the energy management system 10 extracts time periods in which the amount of energy consumption in the main circuit 31 is unique, and extracts time periods in which energy consumption is unique in the main circuit 31, and identifies branch circuits in which unique energy consumption occurs, which is estimated to be the cause of the unique time period. 32 can be presented to the user. Thereby, the energy management system 10 can support the user to suppress unusual energy consumption (the user to take energy-saving measures regarding energy consumption).

Next, detailed information processing in step S13 for outputting and presenting the first object 14a and second object 14b as described above will be described. FIG. 6 is a flowchart of information processing in step S13.

First, the extraction unit 15b extracts a time interval for displaying the first image from the first time series data (S13a). This process is as described above.

Next, the extraction unit 15b extracts a unique time interval from among the time intervals to be displayed as the first image (S13b). Specifically, the extraction unit 15b extracts the energy consumption amount in each of the plurality of time intervals corresponding to 15:00-16:00 on Monday, and extracts the energy consumption amount in each of the plurality of time intervals corresponding to 15:00-16:00 on Monday. A unique time interval is extracted from among multiple time intervals by comparing it with the energy consumption in .

More specifically, the extraction unit 15b calculates the average value of energy consumption in the plurality of time intervals, and extracts a time interval in which the energy consumption is significantly larger or smaller than the average value as a unique time interval. . In other words, a time interval in which energy consumption is significantly greater than the average value is a time interval in which energy consumption is greater than the average value by a threshold value (>0) or more, and a time interval in which energy consumption is significantly lower than the average value. In other words, the interval is a time interval in which the energy consumption is smaller than the average value by a threshold value (>0) or more. In the first image of Figure 3, 15:00-16:00 on the 3rd day of the month when the energy consumption is extremely low and 15:00-16:00 on the 7th February when the energy consumption is extremely high are shown. Identified as a unique time interval. Note that the threshold value is appropriately determined empirically or experimentally.

In this way, the extraction unit 15b divides the first time series data into a plurality of time intervals, and calculates the energy consumption in each of the plurality of time intervals in other time intervals having the same day of the week and time zone as the time interval. A unique time interval is extracted from multiple time intervals by comparing it with energy consumption. If the extraction unit 15b extracts the unique time interval, the presentation unit 15d can display the first object 14a on the output unit 14.

Next, the extraction unit 15b extracts a time interval to be displayed from the second time series data of each of the plurality of branch circuits 32 acquired in step S12 (S13c). For example, the extraction unit 15b divides the second time series data into time intervals of one hour length, and extracts the time interval corresponding to 15:00-16:00 on Mondays in the most recent three months. That is, the extraction unit 15b performs the same process on each of the plurality of second time series data as the process performed on the first time series data in step S13a.

Next, the specifying unit 15c specifies, among the plurality of branch circuits 32, the branch circuit 32 in which the energy consumption that is the cause of the occurrence of the unique time period has occurred (S13d). The specifying unit 15c specifies, for example, the branch circuit 32 in which the energy consumption that is the cause of the occurrence of the unique time period has occurred, based on the correlation of the energy consumption changes.

Specifically, the identifying unit 15c identifies the first waveform (for example, the peak of the bar graph in the first image in FIG. (such as connected waveforms). Similarly, the specifying unit 15c specifies, for each of the plurality of branch circuits 32, a second waveform that indicates the transition of energy consumption when the time intervals extracted in step S13c are arranged in chronological order. Then, the identifying unit 15c calculates the degree of correlation between each of the plurality of second waveforms and the first waveform, and selects the branch circuit 32 corresponding to the second waveform with the strongest correlation as the cause of the occurrence of the peculiar time interval. The branch circuit 32 is identified as the branch circuit 32 in which the energy consumption is as follows. Note that any existing algorithm may be used to calculate the degree of correlation (similarity) between waveforms.

In this way, the identifying unit 15c identifies the branch circuit 32 that is the cause of the occurrence of the unique time interval based on the correlation between the first time series data and each of the plurality of second time series data. If the specific time interval is extracted by the specifying unit 15c, the presenting unit 15d can display the first object 14a and the second object 14b on the output unit 14.

Note that the branch circuit 32 may be identified based on the correlation of changes in energy consumption on dates to which a specific time interval belongs. For example, if the unique time interval is 15:00-16:00 on February 7th, the trend of energy consumption of main circuit 31 on February 7th and the energy consumption of multiple branch circuits 32 on February 7th are The branch circuit 32 in which the energy consumption that is the cause of the unusual time interval has occurred may be specified based on the correlation with the transition of the energy consumption amount.

Furthermore, it is not essential that the branch circuit 32 be identified based on the correlation between the first time series data and the second time series data. For example, if the energy consumption in a specific time interval is extremely high, the branch circuit 32 that has the highest energy consumption in the specific time interval among the plurality of branch circuits 32 becomes the cause of the occurrence of the specific time interval. It may also be specified as a branch circuit 32.

Further, in step S13d, a plurality of branch circuits 32 may be specified. The identification unit 15c identifies a plurality of branch circuits 32 that are the cause of the occurrence of the unique time interval in order from the branch circuit 32 corresponding to the second time series data having the strongest correlation to the first time series data. As a result, the presentation unit 15d can display the second object 14c indicating the plurality of identified branch circuits 32 on the output unit 14. FIG. 7 is a diagram showing an example of the first screen on which the second object 14c representing such a plurality of branch circuits 32 is superimposed. In addition, in FIG. 7, a value indicating the degree of correlation (degree of similarity), a ranking of the degree of correlation, etc. may be written together with each of the names of the plurality of branch circuits 32.

[Modified example 1 of the method for extracting a unique time interval]
Next, a first modification of the method for identifying a unique time interval will be described. FIG. 8 is a flowchart of modification example 1 of the method for identifying a unique time interval.

First, the extraction unit 15b extracts a time interval for displaying the first image from the first time series data (S21). This process is as described above.

Next, the acquisition unit 15a acquires weather information in the extracted time interval (S22), and the prediction unit 15e predicts energy consumption in the extracted time interval based on the acquired weather information (S23). Weather information is acquired via the communication unit 12 from an external server device that manages weather information, for example.

According to the inventor's findings, for example, there is a correlation between temperature data included in weather information and energy consumption (power consumption). Specifically, in the summer, the higher the temperature, the higher the energy consumption tends to be, and in the winter, the lower the temperature, the higher the energy consumption tends to be. For example, if the correspondence between energy consumption, temperature data, and seasons (months) in the facility 30 or other facilities of the same size as the facility 30 is stored in a database in the storage unit 16, the prediction unit 15e By referring to the database, it is possible to predict the energy consumption in the extracted time interval.

Furthermore, if a machine learning model constructed using the above-mentioned database as training data is stored in the storage unit 16, the prediction unit 15e uses such a machine learning model to predict the energy consumption in the extracted time interval. The amount can be predicted.

Next, the extraction unit 15b extracts a unique time interval by comparing the energy consumption (actual value) in the extracted time interval with the predicted value of energy consumption in the time interval (S24). . More specifically, the extraction unit 15b extracts a time interval in which the actual measured value is significantly larger or smaller than the predicted value as a unique time interval. In other words, a time interval in which the actual measured value is significantly larger than the predicted value is a time interval in which the actual measured value is greater than the average value by a threshold value (>0), and a time interval in which the actual measured value is significantly smaller than the average value is In other words, it is a time interval in which the actual measured value is smaller than the average value by a threshold value (>0) or more. This threshold value is appropriately determined empirically or experimentally.

In this way, the prediction unit 15e predicts the time series data of energy consumption in the period corresponding to the first time series data based on the weather information. The extraction unit 15b extracts a unique time interval by comparing the predicted time series data and the first time series data. Thereby, the extraction unit 15b can extract a unique time interval based on the weather information.

[Modified example 2 of the method for extracting a unique time interval]
Next, a second modification of the unique time interval extraction method will be described. Schedule information indicating a usage schedule for the facility 30 may be stored in the storage unit 16 in advance. FIG. 9 is a diagram showing an example of schedule information. For example, the schedule information is stored in the storage unit 16 by the user operating the operation reception unit 13.

The schedule information shown in FIG. 9 is, for example, information indicating the date and time when the facility 30 is not used. Energy consumption is expected to decrease on days when facility 30 is not used. In other words, the schedule information is information indicating a date and time when energy consumption is expected to be low.

The acquisition unit 15a may acquire schedule information from the storage unit 16, and the extraction unit 15b may extract a unique time interval using the acquired schedule information. Specifically, when the extraction unit 15b extracts a time interval in which the amount of energy consumption is outstandingly low in step S13d, if the time interval belongs to a date and time when the facility 30 is not used in the schedule information, the extraction unit 15b makes the time interval unique. excluded from the time interval (not considered as a singular time interval). For example, in Figure 3 above, January 3rd is considered a unique time interval due to its low energy consumption, but in the schedule information, January 3rd falls on the winter vacation, so it is excluded from the unique time interval. be done.

Further, the schedule information may indicate dates and times when energy consumption is considered to be high (for example, days that are holidays but are used for events). In other words, when the extraction unit 15b extracts a time interval in which the amount of energy consumption is particularly high, if the time interval belongs to a date and time in which the amount of energy consumption is considered to be higher than usual in the schedule information, the extraction unit 15b converts the time interval into a unique time period. It may be excluded from the interval.

In this way, the extraction unit 15b extracts a unique time interval using schedule information. As a result, the extraction unit 15b can exclude time periods in which energy consumption is exceptionally low (or high) from the unique time periods, and therefore can improve the accuracy of extraction of the unique time periods. Note that the second modification of the unique time interval extraction method may be combined with the first modification of the unique time interval extraction method.

[Other variations]
In the embodiment described above, the extraction of a unique time interval is triggered by a user's operation, but it may be performed periodically regardless of the user's operation. For example, the presence or absence of a unique time interval is determined every day for the first time series data and the second time series data of the previous day's 24 hours, and the presentation unit 15d displays a message to that effect when there is a unique time interval. It may be presented (notified) to the user.

Further, in the above embodiment, the time interval is a period of one hour, but it may be a period of 12 hours, 24 hours (one day), one week, one month, or the like.

Further, the manner in which information indicating branch circuits is presented in the above embodiment is merely an example. In the above embodiment, the information indicating the branch circuit is displayed as a second object (operated object), but it may also be displayed simply as text. Further, the information indicating the branch circuit may be presented by outputting audio from the output unit 14, if the output unit 14 is implemented by a speaker.

[Effects etc.]
As explained above, the energy management system 10 uses first time-series data of energy consumption in the main circuit 31 provided in the facility 30 and energy consumption in each of the plurality of branch circuits 32 branched from the main circuit 31. an acquisition unit 15a that acquires second time series data of the amount; an extraction unit 15b that extracts a time interval in which energy consumption is unique in the first time series data; the first time series data; and a plurality of second time series The identification unit 15c identifies the branch circuit 32 that is the cause of the occurrence of the unique time interval among the plurality of branch circuits 32 by comparing the data with each of the data, and presents information indicating the identified branch circuit 32. and a presentation section 15d.

Such an energy management system 10 can support identification of the cause of unusual energy consumption by presenting information indicating the branch circuit 32 that is the cause of the occurrence of the unusual time interval.

Further, for example, the identifying unit 15c identifies the branch circuit 32 that is the cause of the occurrence of the unique time interval based on the correlation between the first time series data and each of the plurality of second time series data.

Such an energy management system 10 can identify the branch circuit 32 corresponding to the second time series data that has a strong correlation with the first time series data as the branch circuit 32 that is the cause of the occurrence of the unique time interval.

Further, for example, the identifying unit 15c identifies a plurality of branch circuits 32 that are the cause of the occurrence of the unique time interval, starting from the branch circuit 32 corresponding to the second time series data that has the strongest correlation with the first time series data. . The presentation unit 15d presents information indicating the plurality of identified branch circuits 32.

Such an energy management system 10 can identify and present a plurality of branch circuits 32 that are estimated to be the cause of the occurrence of a unique time interval.

Further, for example, the extraction unit 15b divides the first time series data into a plurality of time intervals, and calculates the energy consumption in each of the plurality of time intervals in another time interval having the same day of the week and time zone as the time interval. The unique time interval is extracted from the plurality of time intervals by comparing it with the energy consumption amount.

Such an energy management system 10 can improve the accuracy of extracting unique time periods by comparing energy consumption amounts with the same day of the week and time period conditions.

For example, the extraction unit 15b extracts a time period from among the plurality of time periods in which the energy consumption amount is higher than the energy consumption amount in the time period on the same day of the week and time period by a threshold value or more, and At least one of the time intervals in which the amount of energy consumption is lower than the energy consumption in the same time interval by a threshold value or more is extracted as a unique time interval.

Such an energy management system 10 can extract each of a time interval in which energy consumption is extremely high and a time interval in which energy consumption is outstandingly low as a unique time interval.

Further, for example, the acquisition unit 15a acquires weather information of the area to which the facility 30 belongs. The energy management system 10 includes a prediction unit 15e that predicts time series data of energy consumption in a period corresponding to the first time series data based on the acquired weather information. The extraction unit 15b extracts a unique time interval by comparing the predicted time series data and the first time series data.

Such an energy management system 10 can extract a unique time interval based on weather information.

Further, for example, the acquisition unit 15a acquires schedule information indicating the usage schedule of the facility 30. The extraction unit 15b extracts a unique time interval using the acquired schedule information.

Such an energy management system 10 can exclude time periods in which energy consumption is exceptionally low (or high) from the unique time periods based on the schedule information, thereby increasing the accuracy of extraction of the unique time periods. be able to.

Further, for example, the presentation unit 15d presents a first image that is a graph of the first time series data and includes a first object that indicates a unique time interval, and the presentation unit 15d presents a first image that is a graph of the first time series data and includes a first object that indicates a unique time interval, and The above information is presented when the operation is accepted.

Such an energy management system 10 can display the energy consumption of the main circuit 31 in a graph, and can also present information indicating the branch circuit 32 that is the cause of the occurrence of a peculiar time interval according to the user's needs. can.

Further, for example, when the user's operation on the first object 14a is accepted, the presentation unit 15d presents the second object 14b as the information, and when the user's operation on the second object 14b is accepted, the presentation unit 15d presents the second object 14b as the information. Then, a second image in which the second time-series data of the identified branch circuit 32 is graphed is presented.

Such an energy management system 10 can graphically display the energy consumption of the branch circuit 32, which is a cause of occurrence of a unique time period, according to the user's needs.

Further, the information presentation method executed by a computer such as the energy management system 10 includes first time-series data of energy consumption in a main circuit 31 provided in the facility 30 and a plurality of branch circuits 32 branched from the main circuit 31. Obtain second time-series data of energy consumption in each of the first time-series data, extract a time interval in which the energy consumption is unique in the first time-series data, and then By comparing these, the branch circuit 32 that is the cause of the occurrence of the unique time interval is identified among the plurality of branch circuits 32, and information indicating the identified branch circuit 32 is presented.

Such an information presentation method can support identification of the cause of unusual energy consumption by presenting information indicating the branch circuit 32 that is the cause of the occurrence of the unusual time interval.

(Other embodiments)
Although the embodiments have been described above, the present invention is not limited to the above embodiments.

For example, in the embodiments described above, the processing executed by a specific processing unit may be executed by another processing unit. Furthermore, the order of the multiple processes described in the above embodiments may be changed, and the multiple processes described in the above embodiments may be executed in parallel.

Furthermore, in the embodiments described above, each component may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

Moreover, each component may be realized by hardware. For example, each component may be a circuit (or integrated circuit). These circuits may constitute one circuit as a whole, or may be separate circuits. Further, each of these circuits may be a general-purpose circuit or a dedicated circuit.

Further, general or specific aspects of the present invention may be implemented in a system, apparatus, method, integrated circuit, computer program, or computer readable storage medium such as a CD-ROM. Furthermore, general or specific aspects of the present invention may be implemented in any combination of systems, devices, methods, integrated circuits, computer programs, and recording media.

For example, the present invention may be realized as an information presentation method executed by a computer such as the energy management system of the above embodiment. The present invention may be implemented as a program for causing a computer to execute an information presentation method. The present invention may be realized as a computer-readable non-transitory recording medium on which such a program is recorded.

Other embodiments may be obtained by making various modifications to each embodiment that a person skilled in the art would think of, or may be realized by arbitrarily combining the components and functions of each embodiment without departing from the spirit of the present invention. The present invention also includes such forms.

10 Energy management system 14a First object 14b, 14b Second object 15a Acquisition section 15b Extraction section 15c Specification section 15d Presentation section 15e Prediction section 30 Facility 31 Main circuit 32 Branch circuit

Claims (12)

an acquisition unit that acquires first time-series data of energy consumption in a main circuit provided in the facility and second time-series data of energy consumption in each of a plurality of branch circuits branched from the main circuit;
an extraction unit that extracts a time interval in which energy consumption is unique in the first time series data;
an identification unit that identifies a branch circuit that is a cause of the occurrence of the peculiar time interval among the plurality of branch circuits by comparing the first time series data and each of the plurality of second time series data; and,
When a first image that is a graph of the first time-series data and includes a first object indicating the unique time interval is presented, and a user's operation on the first object is accepted; and a presentation unit that presents information indicating the identified branch circuit. The identifying unit identifies a branch circuit that is a cause of the occurrence of the unique time interval based on the correlation between the first time series data and each of the plurality of second time series data. Energy management system as described. The identification unit identifies a plurality of branch circuits that are a cause of the occurrence of the peculiar time interval in order from a branch circuit corresponding to the second time series data that has the strongest correlation to the first time series data,
The energy management system according to claim 1 or 2, wherein the presentation unit presents the information indicating the plurality of identified branch circuits. The extraction unit divides the first time series data into a plurality of time intervals, and calculates the energy consumption in each of the plurality of time intervals into the energy consumption in another time interval having the same day of the week and time zone as the time interval. The energy management system according to any one of claims 1 to 3, wherein the unique time interval is extracted from the plurality of time intervals by comparing the amount with the amount. The extraction unit is configured to extract, among the plurality of time intervals, a time interval in which energy consumption is higher than a threshold value or more than an energy consumption in a time interval in which the day of the week and the same time zone are the same, and a time interval in which the energy consumption amount is in the same day of the week and the same time zone. The energy management system according to claim 4, wherein at least one of the time intervals whose energy consumption is lower than the energy consumption amount in the interval by a threshold value or more is extracted as the unique time interval. The acquisition unit acquires weather information of a region to which the facility belongs,
The energy management system includes a prediction unit that predicts time series data of energy consumption in a period corresponding to the first time series data based on the acquired weather information,
The energy management system according to any one of claims 1 to 3, wherein the extraction unit extracts the unique time interval by comparing predicted time series data and the first time series data. The acquisition unit acquires schedule information indicating a usage schedule of the facility,
The energy management system according to any one of claims 1 to 3, wherein the extraction unit extracts the unique time interval using the acquired schedule information. The presentation unit presents a second object as the information when a user's operation on the first object is accepted;
According to any one of claims 1 to 7, a second image that is a graph of the second time series data of the identified branch circuit is presented when a user's operation on the second object is accepted. energy management system. an acquisition unit that acquires first time-series data of energy consumption in a main circuit provided in the facility and second time-series data of energy consumption in each of a plurality of branch circuits branched from the main circuit;
an extraction unit that extracts a time interval in which energy consumption is unique in the first time series data;
an identification unit that identifies a branch circuit that is a cause of the occurrence of the peculiar time interval among the plurality of branch circuits by comparing the first time series data and each of the plurality of second time series data; and,
and a presentation unit that presents information indicating the identified branch circuit ,
The extraction unit divides the first time series data into a plurality of time intervals, and calculates the energy consumption in each of the plurality of time intervals into the energy consumption in another time interval having the same day of the week and time zone as the time interval. Among the plurality of time intervals, the energy consumption amount is higher than the energy consumption amount in the time interval on the same day of the week and time zone by more than a threshold value, and the energy consumption amount is on the same day of the week and time zone. At least one of the time intervals lower than the energy consumption in the same time interval by a threshold value or more is extracted as the unique time interval.
Energy management system. Obtaining first time-series data of energy consumption in a main circuit provided in the facility and second time-series data of energy consumption in each of a plurality of branch circuits branched from the main circuit,
extracting a time interval in which energy consumption is peculiar in the first time series data;
By comparing the first time series data and each of the plurality of second time series data, identifying a branch circuit that is a cause of the occurrence of the peculiar time interval among the plurality of branch circuits,
presenting a first image that is a graph of the first time series data and includes a first object indicating the unique time interval;
An information presentation method that presents information indicating a specified branch circuit when a user's operation on the first object is accepted . Obtaining first time-series data of energy consumption in a main circuit provided in the facility and second time-series data of energy consumption in each of a plurality of branch circuits branched from the main circuit,
extracting a time interval in which energy consumption is peculiar in the first time series data;
By comparing the first time series data and each of the plurality of second time series data, identifying a branch circuit that is a cause of the occurrence of the peculiar time interval among the plurality of branch circuits,
present information indicating the identified branch circuit ;
In extracting the unique time interval, the first time series data is divided into a plurality of time intervals, and the energy consumption in each of the plurality of time intervals is calculated from other time intervals having the same day of the week and time. By comparing the energy consumption in the time intervals, among the plurality of time intervals, the energy consumption is higher than the energy consumption in the time interval on the same day of the week and time zone by more than a threshold value, and At least one of the time intervals where the energy consumption is lower than the energy consumption in the time interval with the same day of the week and time zone by a threshold value or more is extracted as the unique time interval.
Information presentation method. A program for causing a computer to execute the information presentation method according to claim 10 or 11 .

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