Operation monitoring system, operation monitoring method, and operation monitoring program

Abstract

To appropriately grasp the situation of energy saving.SOLUTION: An operation monitoring system 1 acquires a total stay time for each space of a building generated on the basis of a stay time for each resident located in the building, and an energy consumption amount per unit period for each space of the building generated on the basis of measurement information of an energy amount related to the building. The operational monitoring system 1 derives a correlation coefficient between the acquired total stay time period for each space in the building and the energy consumption per unit period for each space in the building.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an operation monitoring system, an operation monitoring method, and an operation monitoring program. [Background technology]

[0002] In recent years, there has been a demand for energy conservation in buildings such as buildings, such as by reducing unnecessary energy consumption. To achieve this, it is necessary to properly grasp the amount of energy consumed per person in a building through a building system that manages the overall operation of the building.

[0003] However, with the recent trend toward the Internet of Things (IoT), various facilities are connected to building systems, making operation and management more complex. Therefore, it can be difficult for conventional building systems to grasp the amount of energy consumed relative to the number of people in a building. Therefore, a conventional technology is known that calculates the amount of energy consumed per person based on the number of people present in a room per specified period of time (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2013-20307 Summary of the Invention [Problem to be solved by the invention]

[0005] However, with the above-mentioned conventional technology, it may be difficult to properly grasp the status of energy conservation. For example, with the conventional technology, even if a person is present for only a short time within a specified period of time, it is counted as the number of people present in the room, so it may be difficult to properly grasp the energy consumption per person in the target building. [Means for solving the problem]

[0006] Therefore, in order to solve the above-mentioned problems and achieve the objectives, the operation monitoring system of the present invention is characterized by having an acquisition unit that acquires the total stay time for each space of the building, which is generated based on the stay time of each resident in the building, and the amount of energy consumed per unit period for each space of the building, which is generated based on measurement information of the energy amount related to the building, and a derivation unit that derives a correlation coefficient between the total stay time for each space of the building acquired by the acquisition unit and the amount of energy consumed per unit period for each space of the building. [Effects of the Invention]

[0007] The present invention has the effect of enabling the state of energy saving to be properly grasped. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an overall picture of processing by an operation monitoring system according to this embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of a series of steps for deriving a correlation coefficient according to this embodiment. [Figure 3] FIG. 3 is a diagram showing an example of the configuration of the operation monitoring system according to this embodiment. [Figure 4] FIG. 4 is a table showing an example of acquired data according to this embodiment. [Figure 5] FIG. 5 is a table showing an example of correlation coefficient information according to this embodiment. [Figure 6] FIG. 6 is a diagram showing an example of output of information related to energy saving according to this embodiment. [Figure 7] FIG. 7 is a diagram showing an example of output of information related to energy saving according to this embodiment. [Figure 8] FIG. 8 is a table showing an example of collected data according to this embodiment. [Figure 9] FIG. 9 is a table showing an example of generated data according to this embodiment. [Figure 10] FIG. 10 is a flowchart showing an example of the procedure of the operation monitoring process according to this embodiment. [Figure 11] FIG. 11 is a hardware configuration diagram showing an example of a computer that realizes the devices that make up the operation monitoring system according to this embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment (hereinafter referred to as "embodiment") will be described with reference to the drawings. In the following description, common components are given the same reference numerals, and repeated description will be omitted. Furthermore, the description of the embodiment described below does not limit the operation monitoring system, operation monitoring method, and operation monitoring program according to the present invention.

[0010] <Introduction> First, an introduction to this embodiment will be given. Fig. 1 is a diagram illustrating an overall view of processing by an operation monitoring system 1 according to this embodiment. The operation monitoring system 1 shown in Fig. 1 is an example of a computer that provides technology for deriving a correlation coefficient between the amount of time an occupant stays in a target space and the amount of energy consumed in the target space. In this embodiment, "space" refers to a room, living space, floor, etc., present in a structure such as a building.

[0011] (background) In recent years, there has been a demand for energy conservation in buildings such as buildings, such as by reducing unnecessary energy consumption, etc. For example, an example of a state in which energy conservation has been achieved is when the amount of energy consumed by a building decreases as the number of people in the building decreases, i.e., when the energy consumption of unused rooms is reduced.

[0012] Therefore, it is necessary to properly grasp the amount of energy consumed per person in a building, but with conventional building systems, it is sometimes difficult to grasp the amount of energy consumed for the number of people in the building. Therefore, a reference technology is known that calculates the energy consumption per person based on the number of people in a room per specified time.

[0013] However, with the reference technology, even if a person is present for only a short time within a specified period of time, they are counted as the number of people present, which can make it difficult to properly grasp the energy consumption per person in the building in question.

[0014] (Overview of processing by operation monitoring system 1) Therefore, in order to solve the above-mentioned problems, the operation monitoring system 1 of this embodiment derives a correlation coefficient between the total stay time of residents, which is compiled based on the entry and exit records for the target space, and the amount of energy consumed in the target space.

[0015] Here, we return to Fig. 1 to explain the processing flow of the operation monitoring system 1. As shown in (1) of Fig. 1, the operation monitoring system 1 (information processing device 100) acquires from the data platform 200 the total stay time for each space in the building, which is generated based on the stay time for each resident in the building, and the amount of energy consumed per unit period for each space in the building, which is generated based on measurement information on the amount of energy related to the building.

[0016] In the following sections, "total dwell time per space in a building" will be referred to simply as "total dwell time," and "amount of energy consumed per unit period per space in a building" will be referred to simply as "unit amount of energy consumed."

[0017] As shown in FIG. 1(2), the operation monitoring system 1 (information processing device 100) derives a correlation coefficient between the acquired total stay time and the unit amount of energy consumption.

[0018] The operation monitoring system 1 according to this embodiment can present to the user the relationship between the change in the number of occupants in the target space and the change in the amount of energy consumption based on the correlation coefficient derived by the above-described process. Therefore, the operation monitoring system 1 has the effect of enabling the user to appropriately grasp the status of energy conservation based on the derived correlation coefficient.

[0019] <Explanation of Operation Monitoring System 1> Next, the operation monitoring system 1 according to this embodiment will be described. First, a series of processes related to deriving a correlation coefficient by the operation monitoring system 1 will be described with reference to Fig. 2. Fig. 2 is a diagram illustrating an example of a series of steps for deriving a correlation coefficient according to this embodiment.

[0020] 2 shows an operation monitoring system 1 that derives a correlation coefficient based on the generated total stay time and unit energy consumption amount. The operation monitoring system 1 includes an information processing device 100, a data platform 200, an entry / exit management device 300, and an equipment management device 400.

[0021] Furthermore, the operation monitoring system 1 is connected to a building system 2 that has the function of controlling the power meters and entry / exit controllers installed within the building, and managing data such as energy measurement information and entry / exit records related to the building collected by the power meters and entry / exit controllers.

[0022] The information processing device 100 described above is a device having a function of deriving a correlation coefficient using the total stay time and the unit energy consumption amount acquired from the data platform 200. The data platform 200 is also a device having a function of generating and storing the total stay time and the unit energy consumption amount using predetermined information collected from the building system 2, the entry / exit management device 300, and the equipment management device 400.

[0023] The entry / exit control device 300 is a device that has the function of managing resident data including information that identifies resident, etc. The facility control device 400 is a device that has the function of managing space data including information that identifies spaces included in the target building, etc.

[0024] First, the data platform 200 collects information used to generate the total stay time and the unit energy consumption amount. Specifically, the data platform 200 collects an event log including records of entry and exit to a target space via a gateway from a central monitoring system or the like that manages an entry and exit controller that collects records of entry and exit to a specific space ((1-1) in FIG. 2). Note that the data platform 200 can also collect event logs from an entry and exit controller (IoT) or the like that operates independently without going through a gateway ((1-2) in FIG. 2).

[0025] In addition, the data platform 200 collects measurement information on the amount of energy consumed by buildings (hereinafter, sometimes simply referred to as "measurement data") via a gateway from a central monitoring system or the like that manages power meters that measure power consumption at specified points ((1-3) in Figure 2).

[0026] Next, the data platform 200 calculates the total stay time for each target space using the collected event log, the occupant data managed by the entry / exit management device 300, and the space data managed by the equipment management device 400 ((2-1) in FIG. 2). Then, the data platform 200 stores the calculated total stay time for each target space in the storage unit.

[0027] Furthermore, the data platform 200 calculates the amount of energy consumption (unit amount of energy consumption) for each target space ((2-2) in FIG. 2) using the collected measurement data and the space data managed by the equipment management device 400. Then, the data platform 200 stores the calculated unit amount of energy consumption in the storage unit.

[0028] The information processing device 100 acquires the total stay time and the unit energy consumption amount for each target space stored in the storage unit of the data platform 200 ((3) in FIG. 2). Then, the information processing device 100 derives a correlation coefficient between the acquired total stay time and the unit energy consumption amount for each target space ((4) in FIG. 2).

[0029] (Operation Monitoring System 1) Next, detailed functions of the operation monitoring system 1 according to this embodiment will be described. Fig. 3 is a diagram showing an example of the configuration of the operation monitoring system 1 according to this embodiment. As shown in Fig. 3, the operation monitoring system 1 includes an information processing device 100, a data platform 200, an entry / exit management device 300, and an equipment management device 400.

[0030] (Information processing device 100) First, a description will be given of the information processing device 100 included in the operation monitoring system 1. As shown in Fig. 3, the information processing device 100 has a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 also has an input unit (not shown) such as a keyboard or touch panel for receiving input from a user or the like, and a display unit (not shown) such as a display or printer for displaying the results of information processing by the information processing device 100 to a user or the like.

[0031] (Communication unit 110) The communication unit 110 outputs the derived correlation coefficient and information based on the correlation coefficient, and performs communication related to obtaining the total stay time and unit energy consumption amount from the data platform 200. The communication unit 110 is realized by a NIC (Network Interface Card) or the like. The communication unit 110 is connected to a network via wired or wireless connection as necessary, and can transmit and receive information bidirectionally.

[0032] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 stores data and programs used for various processes by the control unit 130. As shown in FIG. 3 , the storage unit 120 has an acquired data DB 121 and a correlation coefficient information DB 122.

[0033] (Acquired data DB121) The acquired data DB 121 is a database that stores information such as total stay time and unit energy consumption amount acquired from the data platform 200. An example of information stored in the acquired data DB 121 will now be described with reference to Fig. 4. Fig. 4 is a table diagram showing an example of acquired data according to this embodiment.

[0034] The acquired data DB 121 stores acquired data in which the total stay time and the unit amount of consumed energy (power consumption) are associated in a table format for each predetermined time series. The acquired data DB 121 can store multiple pieces of acquired data in table format for each target space.

[0035] For example, as shown in FIG. 4, the acquired data DB 121 stores a total stay time of "5 (hours)" and a unit consumed energy amount (power consumption) of "120 (kWh)" at "midnight" in association with each other.

[0036] The total dwell time mentioned above is information such as the total amount of time that occupants stay in a target space in a building. The unit energy consumption (power consumption) is information on the amount of energy, such as electricity, consumed per unit time for each target space in a building.

[0037] (Correlation coefficient information DB122) The correlation coefficient information DB 122 is a database that stores information (correlation coefficient information) related to the correlation coefficient for each target space derived by the derivation unit 132, which will be described later. An example of information stored in the correlation coefficient information DB 122 will now be described with reference to Fig. 5. Fig. 5 is a table diagram showing an example of correlation coefficient information according to this embodiment.

[0038] The correlation coefficient information DB 122 stores the date and time, the room, and the correlation coefficient in a table format or the like, in association with "No.", which is information that identifies individual data of the correlation coefficient information. For example, as shown in Fig. 5, the correlation coefficient information DB 122 stores the date and time "2024 / 6 / 6 0:00," the room "Room A," and the correlation coefficient "0.98," which are identified by No. "1," as correlation coefficient information.

[0039] The above-mentioned date and time is information indicating the date and time for which the correlation coefficient is derived. The room is information identifying the target space within the building for which the correlation coefficient is derived. The correlation coefficient is the numerical value of the correlation coefficient derived for each target space.

[0040] (control unit 130) The control unit 130 is realized by a processor, a micro processing unit (MPU), a central processing unit (CPU), or the like executing various programs stored in the storage unit 120 using RAM as a work area. The control unit 130 is also realized by an integrated circuit (IC) such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). As shown in FIG. 3, the control unit 130 includes an acquisition unit 131, a derivation unit 132, and an output unit 133.

[0041] (Acquisition part 131) The acquisition unit 131 acquires the total stay time for the target space and the unit consumed energy amount for the target space, which are accumulated in the data platform 200. Then, the acquisition unit 131 associates the acquired total stay time with the unit consumed energy amount and stores them in the acquired data DB 121.

[0042] (Derivation part 132) The derivation unit 132 derives a correlation coefficient between the total stay time and the unit energy consumption amount in the target space, and stores the derived correlation coefficient in the correlation coefficient information DB 122.

[0043] For example, the derivation unit 132 derives the correlation coefficient between the total stay time and the unit amount of consumed energy based on the following mathematical formula (1).

[0044]

number

[0045] Here, the variables shown in formula (1) have the following meanings: "x" is the total stay time. "x (superscript bar)" is the average value of the total stay time. "x i " is the individual value of the total stay time. "y" is the unit energy consumption amount. "y (superscript bar)" is the average unit energy consumption amount. "y i " is the individual numerical value of the unit energy consumption amount.

[0046] (output unit 133) The output unit 133 outputs information related to energy saving based on the correlation coefficient derived by the derivation unit 132. For example, the output unit 133 outputs information related to energy saving, such as a graph explaining the correlation based on the derived correlation coefficient or fluctuations in the correlation, in order to grasp the state of energy saving in the target building (hereinafter, this may be simply referred to as "energy saving information").

[0047] An example of the energy-saving information output by the output unit 133 will now be described with reference to Fig. 6 and Fig. 7. Fig. 6 and Fig. 7 are diagrams showing an example of output of information related to energy saving (energy-saving information) according to this embodiment.

[0048] First, an example of output of a graph explaining the correlation between total stay time and unit energy consumption will be described with reference to Fig. 6. Fig. 6 shows a graph explaining the correlation between total stay time per day and power consumption (unit energy consumption).

[0049] As shown in FIG. 6, the output unit 133 outputs a two-dimensional graph plotting the unit energy consumption amount such as the amount of power consumption and the total stay time, and a correlation coefficient related to the two-dimensional graph, as information related to energy saving.

[0050] For example, the output unit 133 outputs a two-dimensional graph plotting the amount of power consumption (kWh) and the total stay time on "4 / 6 (Thu)" and the correlation coefficient between the amount of power consumption (kWh) and the total stay time ((1) in FIG. 6). Here, in the output example shown in (1) in FIG. 6, the correlation coefficient is "0.9", which indicates a tendency for the amount of power consumption (kWh) to increase as the total stay time increases. In other words, it can be said that on "4 / 6 (Thu)", "rooms with occupants tend to consume an increasing amount of power."

[0051] Furthermore, plots that deviate from the regression curve related to the derived correlation coefficient are identified. For example, in the plot (1-1) of FIG. 6, it can be seen that the amount of electricity consumed (kWh) tends to be high relative to the total stay time. In other words, the operation monitoring system 1 (output unit 133) can present energy-saving information such as "wasteful electricity consumption is occurring" or "appropriate energy saving has not been achieved" to the building manager.

[0052] On the other hand, the plot (1-2) in Figure 6 shows a tendency for the amount of electricity consumed (kWh) to be low relative to the total stay time. In other words, the operation monitoring system 1 (output unit 133) can present energy-saving information such as "no unnecessary electricity consumption" and "appropriate energy saving has been achieved" to the building manager.

[0053] On the other hand, the output unit 133 outputs a two-dimensional graph plotting the amount of power consumption (kWh) and the total length of stay for "4 / 8 (Sat)," as well as the correlation coefficient between the amount of power consumption (kWh) and the total length of stay ((2) in FIG. 6). In the example output shown in (2) in FIG. 6, the correlation coefficient is "0.2," which indicates that there is no correlation between an increase in the total length of stay and an increase in the amount of power consumption (kWh). In other words, it can be said that "power is being consumed regardless of the occupant's stay status" on "4 / 8 (Sat)." This indicates the possibility of inefficient energy consumption, such as "forgetting to turn off lights or air conditioning equipment."

[0054] Next, an example of output of a graph illustrating the time series change of the correlation coefficient will be described with reference to Fig. 7. Fig. 7 shows a graph in which the derived correlation coefficient is plotted by day.

[0055] As shown in Fig. 7, the output unit 133 outputs, as energy-saving information, a two-dimensional graph in which correlation coefficients are plotted in a predetermined chronological order. For example, as shown in Fig. 7, the output unit 133 outputs a two-dimensional graph in which correlation coefficients are plotted for each day in one week from "4 / 5 (Wed) to 4 / 11 (Tue)."

[0056] Here, the two-dimensional graph shown in Figure 7 indicates that the correlation coefficient for "4 / 8 (Sat) and 4 / 9 (Sun)" is between 0.1 and 0.2 (Figure 7 (1)). This indicates that while the number of occupants in the building decreased due to the holiday, it is possible that electricity consumption did not decrease in line with this decrease in the number of people. In other words, it indicates the possibility of inefficient energy consumption, such as "forgetting to turn off lights and air conditioning equipment."

[0057] (Data Platform 200) Next, the data platform 200 included in the operation monitoring system 1 will be described again with reference to Fig. 3. As shown in Fig. 3, the data platform 200 has a communication unit 210, a storage unit 220, and a control unit 230. The data platform 200 also has an input unit (not shown) such as a keyboard or touch panel for receiving input from a user or the like, and a display unit (not shown) such as a display or printer for displaying the results of information processing by the data platform 200 to a user or the like.

[0058] The data platform 200 according to this embodiment is used as a device that automatically collects data and manages the collected data in a centralized manner. For example, the data platform 200 collects measurement data and product logs from a building automation system (BAS) connected to several thousand or more buildings via a network. The data platform 200 then manages the collected data using a predetermined data structure, such as a data lake, data warehouse, or data mart, in accordance with the systematization of the collected data.

[0059] A data lake is a data storage system that stores large amounts of data collected from various data sources in a variety of original formats. A data warehouse is a database that stores large amounts of data handled by a specific organization in chronological order by theme. A data mart is a database that stores data in a format appropriate for the user department, use, or purpose.

[0060] (Communication unit 210) The communication unit 210 performs communication related to the output of the total stay time and the unit energy consumption amount, and the input of the event log and measurement data collected via the building system 2. The communication unit 210 is realized by a NIC or the like. The communication unit 210 is connected to a network via wire or wirelessly as necessary, and can transmit and receive information bidirectionally.

[0061] (Storage unit 220) The storage unit 220 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 220 stores data and programs used for various processes by the control unit 230. As shown in FIG. 3 , the storage unit 220 has a collected data DB 221 and a generated data DB 222.

[0062] (Collected data DB221) The collected data DB 221 is a database that stores entry and exit records, energy consumption amounts, information about residents, information about spaces within the building, and the like, all of which are collected via the building system 2. An example of information stored in the collected data DB 221 will now be described with reference to Fig. 8. Fig. 8 is a table diagram showing an example of collected data according to this embodiment.

[0063] 8, the collected data DB 221 stores an event log 221a, measurement data 221b, resident data 221c, and space data 221d. The collected data will now be described in more detail.

[0064] (Event Log 221a) The event log 221a includes an event log including an entry / exit record collected when a resident enters or leaves a building. Specifically, the collected data DB 221 stores the recording date and time, entry / exit, and identification information in a table format or the like, in association with "No.", which is information identifying individual data of the event log.

[0065] For example, as shown in FIG. 8, the collected data DB 221 stores the recording date and time "2024 / 6 / 6 0:00", the entry / exit "enter", and the identification information "b", identified by No. "1", as the event log 221a.

[0066] The recorded date and time is information indicating the date and time when entry or exit occurred in the target space. Entry and exit is information that identifies whether the recorded information is "entry" or "exit." Identification information is information that identifies the card key or the like used when entering or leaving the room.

[0067] (Measurement data 221b) The measurement data 221b includes measurement information (measurement data) of the amount of energy related to the building collected by equipment for measuring the amount of energy consumption installed at a predetermined point. Specifically, the collected data DB 221 stores the measurement date and time, the management code, and the amount of power consumption in a table format or the like, in association with "No.", which is information for identifying individual data of the measurement data.

[0068] For example, as shown in FIG. 8, the collected data DB 221 stores the measurement date and time "2024 / 6 / 6 0:00", the management code "a", and the power consumption amount "0.98", identified by the number "1", as the measurement data 221b.

[0069] The measurement date and time mentioned above is information indicating the date and time when the amount of energy such as power was measured by a measuring device such as a power meter installed at a target point. The management code is information that identifies the measuring device and is information for managing the location and type of device installed. The power consumption is an example of the amount of energy measured by a measuring device, and is information indicating, for example, the amount of power consumption measured by an installed power meter.

[0070] (Resident Data 221c) The resident data 221c includes information about the resident of the target building, etc. Specifically, the collected data DB 221 stores the resident ID (Identification) and the identification information in a table format or the like, in association with "No.", which is information that identifies individual data of the resident data.

[0071] For example, as shown in FIG. 8, the collected data DB 221 stores a resident ID "B" and identification information "b" identified by No. "1" as resident data 221c.

[0072] The resident ID is information that identifies a resident registered in relation to the building in question. The identification information is information that identifies a card key or the like used to enter or exit the building associated with the resident.

[0073] (Spatial Data 221d) The spatial data 221d includes information for identifying spaces such as rooms included in a building. Specifically, the collected data DB 221 stores the room name and the management code in a table format or the like, in association with "No.", which is information for identifying individual data of the spatial data.

[0074] For example, as shown in FIG. 8, the collected data DB 221 stores the room name "Room A" and the management code "a" identified by the number "1" as the space data 221d.

[0075] The above-mentioned room name is information (name) for identifying a specific space that exists within a building. The management code is information for identifying a measuring device within a building, and is information for identifying which measuring device is associated with the space identified by the above-mentioned "room name."

[0076] (Generated data DB222) The generated data DB 222 is a database that stores generated data such as total stay time and unit energy consumption (power consumption) generated by the generating unit 232, which will be described later. An example of information stored in the generated data DB 222 will now be described with reference to Fig. 9. Fig. 9 is a table diagram showing an example of generated data according to this embodiment.

[0077] 9, the generated data DB 222 stores a total stay time 222a and a unit amount of consumed energy 222b. The generated data will now be described in more detail.

[0078] (Total time spent 222a) The total stay time 222a includes information such as the total stay time of the resident in the target space. Specifically, the generated data DB 222 stores, in a table format or the like, a "room name" that identifies the target space and a "total stay time" for each date and time in association with each other.

[0079] For example, as shown in FIG. 9, the generated data DB 222 associates with the room name "A" and stores 0:00 "5 (hours)", 1:00 "24 (hours)", 2:00 "102 (hours)", ..., 23:00 "205 (hours)" as the total stay time 222a.

[0080] The room name is information that identifies the target space. The individual total stay time for each date and time is the total stay time for a specific date and time, and is, for example, a numerical value obtained by accumulating the stay time for each resident identified based on the event log.

[0081] (unit energy consumption 222b) The unit energy consumption amount 222b includes information such as the amount of energy consumed per unit time in the target space. Specifically, the generated data DB 222 associates a "room name" that identifies the target space with a "unit energy consumption amount" for each date and time, and stores the information in a table format or the like.

[0082] For example, as shown in FIG. 9, the generated data DB 222 associates with the room name "A" and stores the following as unit energy consumption amounts 222b: 120 (kWh) at midnight, 248 (kWh) at 1 o'clock, 588 (kWh) at 2 o'clock, ..., 11 o'clock "1024 (kWh)."

[0083] The above-mentioned room name is information for identifying the target space. The individual unit energy consumption amount for each date and time is the amount of energy consumed per unit time at a specific date and time, and is, for example, a numerical value of the amount of power consumption per unit time calculated based on measurement data.

[0084] (control unit 230) The control unit 230 is realized by a processor, MPU, CPU, or the like executing various programs stored in the storage unit 220 using RAM as a work area. The control unit 230 is also realized by an IC such as an ASIC or FPGA. As shown in FIG. 3 , the control unit 230 has a collection unit 231 and a generation unit 232.

[0085] (Collection Department 231) The collection unit 231 collects event logs and measurement data via the building system 2, etc. The collection unit 231 also collects occupant data from the entry and exit control device 300. The collection unit 231 also collects spatial data from the equipment management device 400. The collection unit 231 then stores the collected event logs, measurement data, occupant data, spatial data, etc. in the collected data DB 221 as collected data.

[0086] (Generation unit 232) The generation unit 232 generates the total stay time and the unit consumed energy amount used to derive the correlation coefficient by the information processing device 100. Then, the generation unit 232 stores the generated total stay time and unit consumed energy amount in the storage unit 220 (generated data DB 222).

[0087] Specifically, the generation unit 232 identifies the target space and the resident who stayed in the target space based on the entry / exit records (event logs) collected when the resident enters and leaves the building. Then, the generation unit 232 counts the stay times of the resident who stayed in the identified target space and calculates the total stay time.

[0088] For example, the generation unit 232 compares the identification information "b" included in the event log 221a shown in Fig. 8 with the identification information "b" included in the resident data 221c. Then, the generation unit 232 identifies the resident who stayed in the target space based on the resident ID "B" included in the resident data 221c. As described above, the generation unit 232 calculates the total stay time by adding up the stay times of each resident who stayed in the target space identified using the identification information included in the event log and the identification information included in the resident data.

[0089] On the other hand, the generation unit 232 identifies the target space corresponding to the predetermined measurement point based on the predetermined measurement point of the building and the spatial data of the building included in the measurement data. Then, the generation unit 232 calculates the unit energy consumption amount using the energy consumption amount collected from the predetermined measurement point of the building.

[0090] For example, the generation unit 232 matches the management code "a" included in the measurement data 221b shown in Fig. 8 with the management code "a" included in the space data 221d. Then, the generation unit 232 calculates the unit energy consumption amount (power consumption amount) in Room A based on the room name "Room A" included in the space data 221d.

[0091] (Entry / Exit Management Device 300) Next, we will explain the entry and exit control device 300 included in the operation monitoring system 1. As shown in Fig. 3, the entry and exit control device 300 has a communication unit 310, a storage unit 320, and a control unit 330. The entry and exit control device 300 also has an input unit (not shown) such as a keyboard or touch panel for receiving input from a user or the like, and a display unit (not shown) such as a display or printer for displaying the results of information processing by the entry and exit control device 300 to a user or the like.

[0092] (Communication unit 310) The communication unit 310 performs communication related to the output of resident data and the input of resident data registered by an administrator, etc. The communication unit 310 is realized by a NIC, etc. The communication unit 310 is connected to a network via wired or wireless connection as necessary, and can transmit and receive information in both directions.

[0093] (Storage unit 320) The storage unit 320 is realized by, for example, a semiconductor memory element such as RAM or flash memory, or a storage device such as a hard disk or optical disk. The storage unit 320 stores data and programs used for various processes by the control unit 330. As shown in FIG. 3 , the storage unit 320 also has a resident data DB 321.

[0094] (Resident Data DB321) The resident data DB321 is a database that stores information (resident data) about residents of target buildings that are registered by building managers, etc. Specifically, the resident data DB321 stores resident IDs and identification information in a table format or the like, as items similar to the resident data 221c shown in Fig. 8, associated with "No.", which is information that identifies individual data of the resident data.

[0095] (Control unit 330) The control unit 330 is realized by a processor, MPU, CPU, or the like executing various programs stored in the storage unit 320 using RAM as a work area. The control unit 330 is also realized by an IC such as an ASIC or FPGA. The control unit 330 executes various processes for the entry and exit management device 300 to operate.

[0096] (Equipment management device 400) Next, we will explain the equipment management device 400 included in the operation monitoring system 1. As shown in Fig. 3, the equipment management device 400 has a communication unit 410, a storage unit 420, and a control unit 430. The equipment management device 400 also has an input unit (not shown) such as a keyboard or touch panel for receiving input from a user or the like, and a display unit (not shown) such as a display or printer for displaying the results of information processing by the equipment management device 400 to a user or the like.

[0097] (Communication unit 410) The communication unit 410 performs communication related to output of spatial data and input of spatial data registered by an administrator or the like. The communication unit 410 is realized by a NIC or the like. The communication unit 410 is connected to a network via wire or wirelessly as necessary, and can transmit and receive information bidirectionally.

[0098] (Storage unit 420) The storage unit 420 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 420 stores data and programs used for various processes by the control unit 430. As shown in FIG. 3 , the storage unit 420 also has a spatial data DB 421.

[0099] (Spatial Data DB421) The spatial data DB 421 is a database that stores information (spatial data) that identifies spaces such as rooms included in a building, which is registered by the manager of the building, etc. Specifically, the spatial data DB 421 stores, in a table format or the like, room names and management codes as items similar to the spatial data 221d shown in Fig. 8, in association with "No.", which is information that identifies individual data of the spatial data.

[0100] (Control unit 430) The control unit 430 is realized by a processor, MPU, CPU, or the like executing various programs stored in the storage unit 420 using RAM as a work area. The control unit 430 is also realized by an IC such as an ASIC or FPGA. The control unit 430 executes various processes for the operation of the equipment management device 400, such as accepting spatial data registered by an administrator, etc., and storing the accepted spatial data in the storage unit 420.

[0101] (Building System 2) Here, we will explain the building system 2 connected to the operation monitoring system 1. As shown in Fig. 3, the building system 2 includes a central monitoring system 500, a power meter 510 and an entry / exit controller 520 connected to the central monitoring system 500, and an entry / exit controller 600 independent of the central monitoring system 500.

[0102] (Central Monitoring System 500) The central monitoring system 500 is a device that monitors the operation of the connected power meter 510 and entry / exit controller 520, controls their operation, collects data, and so on.

[0103] Specifically, the central monitoring system 500 collects measurement data from the connected power meters 510. The central monitoring system 500 also collects event logs from the connected entry / exit controllers 520. Then, the central monitoring system 500 transmits the collected measurement data and event logs to the data platform 200 via a gateway.

[0104] The type of central monitoring system 500 is not particularly limited, and may be, for example, a tablet, a PDA (Personal Digital Assistant), a PC (Personal Computer), a notebook PC, a cloud-based or on-premise server device, or the like.

[0105] (Power Meter 510) The power meter 510 is a device controlled by the central monitoring system 500, and is installed at a predetermined point in a building to measure the amount of power used (power consumption). For example, the power meter 510 is set for each predetermined granularity such as a room or floor in a building, and measures the power consumption of the target space at predetermined time intervals.

[0106] Although the present embodiment has been described taking a power meter that measures power as an example, it may be an energy meter that measures a predetermined amount of consumed energy, such as a gas meter.

[0107] (Entry / Exit Controller 520) The entry / exit controller 520 is a device controlled by the central monitoring system 500, and manages entry and exit to a predetermined space within a building. For example, the entry / exit controller 520 is installed at the entrance of a room or the like, and reads a card key or the like when entering or leaving the room or the like. If the read card key is authenticated, the entry / exit controller 520 opens the entrance door to the room and collects a record (event log) of the entry or exit.

[0108] (Entry / Exit Controller 600) The entry / exit controller 600 is a device independent of the control by the central monitoring system 500, and manages entry and exit to a predetermined space within a building. For example, the entry / exit controller 600 performs the same operations as the entry / exit controller 520, but transmits collected event logs directly to the data platform 200 via the Internet or the like without going through the central monitoring system 500 or the like.

[0109] (Processing Procedure) Hereinafter, the procedure of the process performed by the operation monitoring system 1 according to this embodiment will be described with reference to Fig. 10. Fig. 10 is a flowchart showing an example of the procedure of the operation monitoring process according to this embodiment.

[0110] The data platform 200 (collection unit 231) collects event logs and measurement data from the central monitoring system 500, the entry / exit controller 520, etc. (S101). Next, the data platform 200 (generation unit 232) generates a total stay time and a unit amount of energy consumption using the collected event logs and measurement data (S102). Then, the data platform 200 (generation unit 232) stores the generated total stay time and unit amount of energy consumption in the storage unit 220 (S103).

[0111] Here, the information processing device 100 waits for the execution of the correlation coefficient derivation process (No in S104). Then, the information processing device 100 executes the correlation coefficient derivation process when a predetermined condition is satisfied (Yes in S104). Note that the predetermined condition here may be, for example, an execution command from the administrator of the operation monitoring system 1, a preset cycle, etc.

[0112] The information processing device 100 (acquisition unit 131) acquires the total stay time and the unit energy consumption amount stored by the data platform 200 (S105). Next, the information processing device 100 (derivation unit 132) derives a correlation coefficient between the acquired total stay time and the unit energy consumption amount (S106).

[0113] The information processing device 100 (output unit 133) outputs energy-saving information based on the derived correlation coefficient (S107). Then, the information processing device 100 ends the process.

[0114] (effect) Next, we will explain the effects achieved by the operation monitoring system 1 according to this embodiment. Conventionally, there is known a technique for calculating the energy consumption per person based on the number of people in a room per specified time, but since the length of stay and the like are not taken into account, it may be difficult to properly grasp the energy consumption per person.

[0115] Therefore, the acquisition unit 131 of the operation monitoring system 1 according to this embodiment acquires the total stay time generated based on the stay time of each resident in the building and the unit energy consumption amount generated based on the measurement data from the data platform 200. The derivation unit 132 of the operation monitoring system 1 derives a correlation coefficient between the acquired total stay time and the unit energy consumption amount.

[0116] As described above, the operation monitoring system 1 according to this embodiment derives a correlation coefficient between the total time spent in a target space and the unit energy consumption in the target space in order to grasp the energy consumption per person based on the resident's stay time. The operation monitoring system 1 then outputs energy-saving information to the user based on the derived correlation coefficient. Therefore, the operation monitoring system 1 according to this embodiment has the effect of enabling the user to appropriately grasp the energy-saving status.

[0117] The data platform 200 (the generation unit 232) identifies a target space and the resident who stayed in the target space based on entry / exit records (event logs) collected when the resident enters and leaves the building. Then, the data platform 200 (the generation unit 232) counts the stay times of the resident who stayed in the identified target space and calculates the total stay time for the target space.

[0118] By the above-described processing, the operation monitoring system 1 can calculate the total stay time, which indicates how long the occupants stay in the target space. As a result, the operation monitoring system 1 has the effect of enabling calculation of a correlation coefficient for grasping the energy saving status taking into account the stay time of the occupants in the target space.

[0119] The data platform 200 (the generation unit 232) identifies the target space corresponding to the predetermined measurement point based on the predetermined measurement point of the building and the spatial data of the building included in the measurement data. Then, the data platform 200 (the generation unit 232) calculates the unit energy consumption amount using the energy consumption amount collected from the predetermined measurement point of the building.

[0120] The operation monitoring system 1 can calculate the energy consumption per unit time for each target space through the above-described process. As a result, the operation monitoring system 1 has the effect of being able to calculate a correlation coefficient for grasping the energy saving status for each target space.

[0121] The information processing device 100 (output unit 133) outputs energy-saving information based on the correlation coefficient derived by the derivation unit 132.

[0122] Specifically, the information processing device 100 (output unit 133) outputs, as energy-saving information, a two-dimensional graph in which unit energy consumption and total stay time are plotted and a correlation coefficient related to the two-dimensional graph. The information processing device 100 (output unit 133) also outputs, as energy-saving information, a two-dimensional graph in which correlation coefficients are plotted in a predetermined chronological order.

[0123] The operation monitoring system 1 can output information such as graphs that allow the user to easily understand the energy conservation status of the building based on the correlation coefficient between the unit energy consumption amount and the total stay time calculated by the above-mentioned process.

[0124] <Modification> Below, modifications realized by the operation monitoring system 1 according to this embodiment will be described.

[0125] (Data, etc.) The total stay time, unit energy consumption, measurement data, event log, resident data, spatial data, names of functional parts of the operation monitoring system 1, steps, processes, names of steps or processes, etc. used in the description of the above embodiments are merely examples and can be changed as desired.

[0126] For example, the acquired data DB 121 stores acquired data in which the total stay time and the unit amount of consumed energy (power consumption) are associated in a table format for each predetermined time series, but the items to be stored and the information within the items are not limited.

[0127] For example, the correlation coefficient information DB122 stores the date and time, room, and correlation coefficient in a table format or the like, in association with "No.", which is information that identifies individual data of the correlation coefficient information, but the items to be stored and the information within the items are not limited.

[0128] For example, the collected data DB221 stores the recording date and time, entry and exit, and identification information in a table format or the like, in association with "No.", which is information identifying individual data of the event log, but the items to be stored and the information within the items are not limited. The collected data DB221 also stores the measurement date and time, management code, and power consumption amount in association with "No.", which is information identifying individual data of the measurement data, in a table format or the like, but the items to be stored and the information within the items are not limited. The collected data DB221 also stores the resident ID (Identification) and identification information in association with "No.", which is information identifying individual data of the resident data, in a table format or the like, but the items to be stored and the information within the items are not limited. The collected data DB221 also stores the room name and management code in association with "No.", which is information identifying individual data of the space data, in association with "No.", in association with the room name and management code in a table format or the like, but the items to be stored and the information within the items are not limited.

[0129] For example, the generated data DB222 stores a "room name" that identifies a target space in association with a "total stay time" for each date and time in a table format or the like, but the items to be stored and the information within the items are not limited. Also, for example, the generated data DB222 stores a "room name" that identifies a target space in association with a "unit energy consumption amount" for each date and time in a table format or the like, but the items to be stored and the information within the items are not limited.

[0130] (Regarding energy consumption) In the present embodiment, the consumed energy is described by taking electricity as an example, but is not limited to this. For example, the consumed energy may be heat, light, a predetermined fuel (gas, kerosene, gasoline, heavy oil, ammonia, hydrogen, etc.) in addition to electricity. Note that when the consumption amount of the above-mentioned energy other than electricity is used as the consumed energy amount, a device for measuring the consumption amount of the non-electrical energy is used instead of an electricity meter.

[0131] (Flowcharts, etc.) The steps in the flowcharts may be interchanged as long as there is no contradiction, and some steps may not be performed. In addition, conjunctions such as "next," "continue," "further," "at this time," and "on this occasion" used in the explanation of the flowcharts do not limit the order or timing of the execution of the processes in the flowcharts.

[0132] (others) Of the processes described in the above embodiments and variations, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information, including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings, can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown.

[0133] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0134] The above-described components include those that can be easily imagined by a person skilled in the art, those that are substantially the same, and those that are within the scope of what is called equivalents. Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope that does not cause contradictions in the processing content.

[0135] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, a control section can be read as control means or a control circuit.

[0136] Although some of the embodiments have been described in detail above with reference to the drawings, these are merely examples, and it is possible to implement the present embodiments in other forms that have undergone various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the Disclosure of the Invention section.

[0137] <Hardware configuration> The operation monitoring system 1 according to this embodiment is realized, for example, by a computer 1000 configured as shown in Fig. 11. Fig. 11 is a hardware configuration diagram showing an example of a computer that realizes the devices that make up the operation monitoring system 1 according to this embodiment. The computer 1000 has a configuration in which a CPU 1100, a RAM 1200, a ROM 1300, an auxiliary storage device 1400, a communication I / F (interface) 1500, and an input / output I / F (interface) 1600 are connected by a bus 1800.

[0138] The CPU 1100 operates and controls each unit based on a program stored in the ROM 1300 or the auxiliary storage device 1400. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, programs that depend on the hardware of the computer 1000, and the like.

[0139] The auxiliary storage device 1400 stores programs executed by the CPU 1100, data used by the programs, etc. The communication I / F 1500 receives data from other devices via a predetermined communication network NW (including closed-area wireless communication in this embodiment) and sends it to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the predetermined communication network NW. The CPU 1100 controls output devices such as displays and printers, and input / output devices 1700 such as keyboards and mice, via the input / output I / F 1600. The CPU 1100 acquires data from the input / output devices 1700 via the input / output I / F 1600. The CPU 1100 also outputs generated data to the input / output devices 1700 via the input / output I / F 1600.

[0140] For example, when the computer 1000 functions as various devices according to the present embodiment, the CPU 1100 of the computer 1000 executes a program loaded onto the RAM 1200 to realize the functions of the control unit. [Explanation of symbols]

[0141] 1 Operational monitoring system 2 Building Systems 100 Information processing device 110,210,310,410 Communications Department 120,220,320,420 Storage section 121 Acquired Data DB 122 Correlation Coefficient Information DB 130,230,330,430 Control unit 131 Acquisition Department 132 Derivation part 133 Output section 200 Data Platform 221 Collected Data DB 222 Generated Data DB 231 Collection Department 232 Generation part 300 Entrance / exit control device 321 Resident Data DB 400 Equipment management equipment 421 Spatial Data DB 500 Central Monitoring System 510 Electricity Meter 520,600 Entrance / Exit Controller

Claims

1. an acquisition unit that acquires a total stay time for each space of the building generated based on the stay time of each resident in the building, and an amount of energy consumed per unit period for each space of the building generated based on measurement information of the amount of energy related to the building; a derivation unit that derives a correlation coefficient between a total stay time for each space of the building acquired by the acquisition unit and an amount of energy consumed per unit period for each space of the building; An operation monitoring system comprising:

2. Identifying a target space and a resident who stayed in the target space based on entry / exit records collected when a resident enters or leaves the building; A generating unit that aggregates the stay times of the residents who stayed in the identified target spaces and calculates the total stay time for each space in the building, 2. The operation monitoring system according to claim 1.

3. Identifying a target space corresponding to a predetermined measurement point based on the predetermined measurement point of the building and spatial data of the building included in the measurement information of the amount of energy related to the building; The system further includes a generating unit that calculates the amount of energy consumed per unit period in the target space using the amount of energy consumed collected from predetermined measurement points in the building.

2. The operation monitoring system according to claim 1.

4. an output unit that outputs information about energy saving based on the correlation coefficient derived by the derivation unit; 4. The operation monitoring system according to claim 1, wherein the operation monitoring system comprises: a processor;

5. The output unit outputting, as the information relating to energy conservation, a two-dimensional graph in which the amount of energy consumed per unit period for each space in the building and the total stay time for each space in the building are plotted, and a correlation coefficient relating to the two-dimensional graph; 5. The operation monitoring system according to claim 4.

6. The output unit a two-dimensional graph in which the correlation coefficients are plotted in a predetermined chronological order is output as information about the energy saving; 5. The operation monitoring system according to claim 4.

7. An operation monitoring method executed by an operation monitoring system, an acquisition process for acquiring a total stay time for each space of the building generated based on the stay time of each resident in the building, and an amount of energy consumed per unit period for each space of the building generated based on measurement information of the amount of energy related to the building; a derivation step of deriving a correlation coefficient between the total stay time for each space of the building acquired by the acquisition step and the amount of energy consumed per unit period for each space of the building; An operation monitoring method comprising:

8. an acquisition step of acquiring a total stay time for each space of the building generated based on the stay time of each resident in the building, and an amount of energy consumed per unit period for each space of the building generated based on measurement information of the amount of energy related to the building; a derivation step of deriving a correlation coefficient between the total stay time for each space in the building acquired by the acquisition step and the amount of energy consumed per unit period for each space in the building; An operation monitoring program characterized by causing a computer to execute the above.

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