JP6220088B1 - Data collection system and program - Google Patents

Abstract

The present invention provides a data collection system capable of realizing accumulation exclusion due to various circumstances within a necessary range and at an appropriate time and timing. It is determined whether or not the storage exclusion condition stored in the storage exclusion condition storage means 43 is satisfied with respect to the energy management data output from each device 52 and received via the gateway server 51. The storage exclusion condition success / failure determination means 22 stored in the data storage means 42 and stored in the storage data storage means 41 if not satisfied, and the exclusion target extraction rule stored in the exclusion target extraction rule storage means 44 for the stored data The data collection system 10 is configured by providing a storage exclusion condition automatic registration unit 23 that automatically creates a storage exclusion condition and stores it in the storage exclusion condition storage unit 43 if applicable. [Selection] Figure 1

Description

  The present invention relates to a data collection system and program configured by a computer that collects data for energy management in a private house, building, factory, or other area. For example, the present invention relates to HEMS, BEMS, FEMS. (Fems), CEMS (Sems), etc. When collecting and managing data indicating the usage information of power or other energy within each area, or when utilizing collected data for various services Available.

  In recent years, a technology called IoT (Internet of Things) has been actively used, and various “things” are connected to the Internet, that is, data indicating the state of “things” output from sensors is connected to the Internet. Are collected through the Internet, stored as big data, and utilized.

  The energy usage information such as electric power and gas in each individual house, each building, each factory, or each other area is HEMS (Home Energy Management System) data, BEMS (Building Energy Management System) data. , FEMS (Fems: Factory Energy Management System) data, CEMS (Sems: Cluster Energy Management System) data, etc., each of these areas (each individual house, each building, each factory, Management and utilization of data in each region is being attempted. HEMS data is data for energy management transmitted from a gateway server installed in each individual home by collecting data output from each individual home device. Similarly, BEMS data is output from each building device, The FEMS data is output from the equipment of each factory, and the CEMS data is the data output from the equipment of each area (the area here is a unit of space or place including a private house, building, or factory). Data for energy management collected and transmitted from a gateway server installed in each building, each factory, and each region.

  In the present invention, as described later, accumulation exclusion for collected data is performed. In this regard, as a technique related to the present invention, an operation method of an instrument management network for performing control exclusion at a home gateway is known. (See Patent Document 1). There is also known an energy saving amount management system that excludes power amount data for a specific period and verifies the amount of saved electricity (see Patent Document 2).

JP 2012-208627 A (Claim 12) JP 2002-291173 A

  As described above, the HEMS data is data transmitted to the Internet from the gateway server (HEMS-GW) that configures the HEMS installed in each individual house, but due to incomplete installation of various devices that configure the HEMS, There are cases where inappropriate values are linked to the cloud. If such a case is left unattended, the data collected and stored on the cloud will be hindered from being used normally, and the value and reliability of the accumulated data will be reduced. Accordingly, it is required to exclude accumulation of data including an inappropriate value.

  However, in the past, the above cases could only be noticed by the declaration of the individual house where the HEMS was installed. For this reason, for data containing inappropriate values, it was necessary for the system operation staff to perform system setting work for storage exclusion (registration work for storage exclusion target) after receiving information from each individual house. .

  However, this is not preferable because there is a risk that the user in each individual house will be liable for responsibility and monitoring for proper installation of the device and proper data output from the device. Originally, the user does not have specialized knowledge about the device, and is not in a position to take time and effort for monitoring. In addition, if the report from the user is delayed, the timing for starting to exclude the storage is delayed, and the accumulation of data including an inappropriate value is advanced. Necessary accumulation exclusion must be started at an appropriate time without losing time. Therefore, it can be said that a data collection system based on or expecting to receive information from a user in each individual house is insufficient.

  Furthermore, since the collection exclusion of collected data may be necessary for some reason, for example, it is not desired to disclose the data for a certain period of time, accumulation of data including the above inappropriate values is not possible. It is also necessary to exclude accumulation due to various other circumstances including exclusion. Therefore, it is desired to construct a data collection system that can realize accumulation exclusion due to various circumstances within a necessary range and at an appropriate time and timing.

  What has been described above is the same for not only HEMS data but also BEMS data, FEMS data, CEMS data, and the like.

  An object of the present invention is to provide a data collection system and program capable of realizing accumulation exclusion due to various circumstances within a necessary range and at an appropriate time and timing.

The present invention is a data collection system constituted by a computer that collects data for energy management in a private house, building, factory, or other area,
Data receiving means for receiving energy management data output from each device communicating with the gateway server provided in each area and transmitted via the network via the gateway server;
A storage exclusion condition storage means for storing a storage exclusion condition including gateway server identification information and / or device identification information for storing and excluding energy management data received by the data receiving means in units of areas and / or devices;
It is determined whether or not the storage exclusion condition stored in the storage exclusion condition storage unit is satisfied with respect to the energy management data received by the data reception unit, and if satisfied, the received energy management data is stored in the exclusion data storage unit. If not satisfied, the storage exclusion condition success / failure determination means for executing the process of storing the received energy management data in the storage data storage means;
Exclusion target extraction rule storage means for storing an exclusion target extraction rule for extracting a storage exclusion target device to be registered as a storage exclusion condition in association with device identification information for identifying the device;
It is determined whether or not the energy management data stored in the accumulated data storage means corresponds to the exclusion target extraction rule stored in the exclusion target extraction rule storage means, and if applicable, the corresponding energy management data Is automatically created using the gateway server identification information and device identification information included in the storage exclusion condition, and the storage exclusion condition that identifies the device to be excluded from storage and the device in that area is stored in the storage exclusion condition storage means. The storage exclusion condition automatic registration means for executing the storing process is provided.

  Here, “area” refers to a space or place that is a unit for collecting energy use information. For example, a private house (in the case of HEMS), a building (in the case of BEMS), a factory (in the case of FEMS), or these The area (in the case of CEMS) including a private house, building or factory.

  In addition, the “device identification information for identifying a device” is not information for identifying a physical individual device, but in the present invention, it refers to information for identifying a device type, model, type, and the like. . Therefore, in the present invention and the present specification, “the same device” and “the same device” do not refer to physically the same individual (the only individual in the world), but to a plurality of areas (a plurality of individual homes). , A plurality of buildings, a plurality of factories, etc.) means devices having the same configuration and function that can exist simultaneously.

  Since the data collection system of the present invention includes the exclusion target extraction rule storage unit and the storage exclusion condition automatic registration unit, the energy management data stored in the storage data storage unit corresponds to the exclusion target extraction rule. Whether or not to do so is monitored, and if applicable, an accumulation exclusion condition can be automatically created and registered in the accumulation exclusion condition storage means.

  Therefore, for example, by registering an exclusion target extraction rule for determining the occurrence state of defects for devices that are prone to defects such as incomplete installation or settings, or malfunctions, when a problem occurs, Users who are in areas such as private homes, buildings, factories, etc. can automatically detect the failure, automatically create a storage exclusion condition for the device, and automatically register it in the storage exclusion condition storage means. Therefore, it is possible to register the storage exclusion condition at an appropriate timing without providing the information, and to realize the storage exclusion of data including an inappropriate value.

  In addition, the storage exclusion condition storage means is not limited to the storage exclusion condition automatically created by the establishment of the exclusion target extraction rule as described above, but is also used for the storage exclusion of data including inappropriate values based on information provided by the user. Therefore, it is possible to register an accumulation exclusion condition for various reasons including an accumulation exclusion condition. For this reason, accumulation exclusion due to various circumstances can be realized within a necessary range and at an appropriate time and timing, thereby achieving the object.

  <Automation of exclusion removal>

In the data collection system described above,
An exclusion cancellation rule storage means for storing an exclusion cancellation rule for canceling the storage exclusion due to the storage exclusion condition in association with the storage exclusion condition identification information for identifying the storage exclusion condition to be canceled;
It is determined whether or not the energy management data stored in the exclusion data storage means corresponds to the exclusion cancellation rule stored in the exclusion cancellation rule storage means, and if so, the accumulation exclusion condition to be canceled is deleted. Or an exclusion removal means for executing the invalidation processing;
Along with automatic registration of storage exclusion conditions by means of automatic registration of storage exclusion conditions, an exclusion exclusion rule is automatically created by reversing the exclusion target extraction rules when creating a storage exclusion condition for automatic registration, and automatically created exclusions Desirably, the release rule is configured to include an exclusion release rule automatic registration unit that executes a process of storing the release rule in association with the storage exclusion condition identification information for identifying the storage exclusion condition related to automatic registration and storing it in the exclusion release rule storage unit. .

  In the case of the configuration including the exclusion cancellation rule storage unit, the exclusion cancellation unit, and the exclusion cancellation rule automatic registration unit in this way, first, by the exclusion cancellation rule storage unit and the exclusion cancellation unit, the storage exclusion condition is once met. By doing so, the energy management data stored and excluded in the excluded data storage means can be subjected to a monitoring process for confirming the data content (a process for determining the success or failure of the exclusion cancellation rule). When the output state from the device changes and it is not necessary to exclude accumulation, it is possible to grasp the state and cancel the accumulation exclusion condition.

  Next, as described above, when it is not necessary to perform accumulation exclusion, the accumulation exclusion condition is canceled due to the establishment of the exclusion cancellation rule. This eliminates the need for manual deletion or invalidation of existing storage exclusion conditions, which reduces the work required by system operators and automatically avoids unnecessary storage exclusions. Accumulation can be resumed early.

  In addition, the automatic release registration rule automatically registers and excludes the storage exclusion condition, and the automatic creation and registration of the exclusion cancellation rule is also performed. In addition, it is possible to realize an early restart of the progress of proper data accumulation.

  <Accepting storage exclusion condition input and exclusion cancellation rule input>

Furthermore, in the above-described data collection system,
Accumulation exclusion condition input acceptance means for receiving an input for designating an area and / or device to be excluded from accumulation, creating an accumulation exclusion condition, and storing the created accumulation exclusion condition in the accumulation exclusion condition storage means When,
In addition to receiving the storage exclusion condition input by the storage exclusion condition input receiving means, it also accepts an input of an exclusion cancellation rule for canceling the received storage exclusion condition, and the received exclusion cancellation rule is changed to the storage exclusion condition to be canceled. It is desirable to include an exclusion cancellation rule input accepting unit that executes a process of storing in the exclusion cancellation rule storage unit in association with the storage exclusion condition identification information for identifying.

  In the case of the configuration including the storage exclusion condition input receiving unit and the exclusion release rule input receiving unit as described above, additional registration of the storage exclusion condition to the storage exclusion condition storage unit and cancellation of the exclusion to the exclusion release rule storage unit are performed. It becomes possible to easily register additional rules.

  In addition, because it is configured to accept the input of the exclusion cancellation rule together with the reception of the input of the storage exclusion condition, the accumulation due to the establishment of the exclusion cancellation rule when it is not necessary to perform the storage exclusion Since the exclusion is automatically canceled and unnecessary application exclusion is automatically avoided, it is possible to restart the progress of proper data accumulation at an early stage.

  <Registration of exclusion target extraction rules based on cumulative registration of accumulation exclusion conditions for the same device provided in different areas (private homes, etc.)>

In the above-described data collection system,
The storage exclusion condition input acceptance means is:
It is configured to execute a process of determining whether or not the acceptance of the storage exclusion condition for the same device provided in different areas has reached a predetermined number of times for monitoring transition,
When it is determined by the storage exclusion condition input reception means that the reception of the storage exclusion condition input for the device has reached the number of times of monitoring shift, the exclusion cancellation rule storage means corresponding to the storage exclusion condition for the device By automatically inverting the exclusion cancellation rule stored in the list, the exclusion target extraction rule is automatically created, or the input of the exclusion target extraction rule is accepted, and the exclusion target extraction rule that has been automatically created or accepted is It is desirable to include an exclusion target extraction rule registration unit that executes a process of storing in the exclusion target extraction rule storage unit in association with the device identification information to be identified.

  A configuration for registering an exclusion target extraction rule related to the device when the acceptance of the storage exclusion condition for the same device provided in different areas (such as a private house) reaches the number of times for monitoring shift In this case, it is determined that the device is likely to be in a state where data accumulation should be excluded, and the exclusion target extraction rule is also applied to the device provided in another area (such as a private house). Can be placed under surveillance by In other words, the accumulation of registration exclusion conditions for the same device is cumulative, so that the device can be determined to be a device that is prone to problems such as incomplete installation or settings, or malfunctions, for example. In addition, the same equipment that is installed in another area (individual homes, etc.) may have the same problem. ) Can be monitored.

  If the registered exclusion target extraction rule is established, the storage exclusion condition is automatically created and registered. Therefore, the storage exclusion is also performed on the data of the device provided in another area (such as a private house). Will come to be.

  <Automatic division of storage exclusion conditions when priority is given to exclusion cancellation due to establishment of exclusion cancellation rules>

Furthermore, in the data collection system described above,
The accumulation exclusion condition stored in the accumulation exclusion condition storage means includes
Includes an exclusion end date and time indicating the expiration date of the storage exclusion condition, and a priority flag indicating whether or not to give priority to the cancellation of exclusion by the establishment of the exclusion cancellation rule stored in the exclusion cancellation rule storage means over the arrival of this exclusion end date and time And
Exclusion release means
When the energy management data stored in the exclusion data storage means falls under the exclusion cancellation rule, the content of the storage exclusion condition to be canceled overlaps with the process of deleting or invalidating the storage exclusion condition to be canceled. If the priority flag for other accumulation exclusion conditions indicates that priority is given to exclusion cancellation due to the establishment of the exclusion cancellation rule, the other accumulation exclusion conditions are automatically divided into a plurality of devices, thereby eliminating the exclusion. It is desirable that the processing for leaving only the storage exclusion condition for devices other than the device to remain valid is executed.

  When the exclusion cancellation rule is established in this way, when the configuration is such that the other storage exclusion conditions whose contents overlap with the storage exclusion conditions to be canceled are configured to be automatically divided according to the priority flag, In addition to performing the process of deleting or invalidating the accumulation exclusion condition to be canceled, other accumulation exclusion conditions that have the same content as the accumulation exclusion condition to be canceled can be canceled and cannot be canceled In other words, it is possible to leave only the part of the storage exclusion condition that cannot be canceled in the valid state.

  <Configuration to extract other storage exclusion conditions with duplicate contents and display them on screen when receiving storage exclusion condition input>

In the data collection system described above,
The storage exclusion condition input acceptance means is:
Extract other storage exclusion conditions whose contents are the same as the storage exclusion condition that received the input from the storage exclusion condition storage means, and execute the duplicate condition display process for displaying the extracted other storage exclusion conditions on the screen, or In addition to this duplicate condition display processing, if an exclusion cancellation rule corresponding to another extracted storage exclusion condition is stored in the exclusion cancellation rule storage means, the corresponding exclusion cancellation rule is also displayed on the screen. It is desirable that the rule display process is executed.

  In this way, when accepting the input of storage exclusion conditions, if other storage exclusion conditions with duplicate contents are extracted and displayed on the screen, the system operator will be able to change the contents of the other storage exclusion conditions. As a result, it is possible to appropriately adjust both of the storage exclusion conditions such as changing the storage exclusion condition input by the user or changing other extracted storage exclusion conditions. At this time, the person in charge of system operation may make adjustments to avoid duplication of contents, or may register the storage exclusion condition entered by himself while the contents are duplicated.

  <At the time of accepting input of storage exclusion conditions, other storage exclusion conditions whose contents are duplicated are extracted and displayed on the screen including the reason for storage exclusion, and other storage exclusion conditions are automatically divided upon receiving instruction input Configuration that automatically creates storage exclusion conditions that do not duplicate content>

Furthermore, in the data collection system described above,
The accumulation exclusion condition stored in the accumulation exclusion condition storage means includes
The exclusion start date and time and the exclusion end date and time indicating the beginning and end of the effective period of the accumulation exclusion condition, and the accumulation exclusion reason are included.
The storage exclusion condition input acceptance means is:
Extract other storage exclusion conditions that have the same contents as the storage exclusion condition that received the input from the storage exclusion condition storage means, and display the extracted other storage exclusion conditions on the screen including the reason for storage exclusion. In response to the input of instructions from the system operator, other storage exclusion conditions are automatically divided into multiple areas, areas, devices, or periods, and storage exclusion conditions that do not overlap are automatically created. It is desirable that a process for storing the automatically created accumulation exclusion condition in the accumulation exclusion condition storage means is executed.

  In this way, when accepting input of storage exclusion conditions, other storage exclusion conditions with duplicate contents are extracted and displayed on the screen including the reason for storage exclusion, and other input conditions for storage exclusion are accepted by receiving instructions. When configured to automatically create a storage exclusion condition that automatically divides and does not duplicate the content, the system operator will make a decision while referring to the storage exclusion reason for other storage exclusion conditions as appropriate, and the content will be duplicated. It is possible to easily register the storage exclusion condition that is not performed.

  <Cooperation with services with billing>

In the data collection system described above,
Executes processing to transmit energy management data stored in the stored data storage means to an external linkage system via the network as charging data for charging users in the area for use of the service Cooperation means to
Accepts input for specifying the service usage period by the user transmitted from the user terminal via the network, and sets the storage exclusion condition stored in the storage exclusion condition storage means without specifying the effective period in units of periods It is desirable to have a configuration including user input receiving means for executing a process of leaving only the storage exclusion condition in a valid state for a period other than the service use period specified by the user by automatically dividing into a plurality of periods.

  In this way, when it is configured to cooperate with a service involving charging, the energy management data stored in the stored data storage means is controlled using registration of the storage exclusion condition, and the service specified by the user is used. It becomes possible to perform billing processing according to the contents.

  <Invention of program>

  The program of the present invention is for causing a computer to function as the data collection system described above.

  The above-mentioned program or a part thereof is, for example, a magneto-optical disk (MO), a compact disk (CD), a digital versatile disk (DVD), a flexible disk (FD), a magnetic tape, or a read-only memory (ROM). , Electrically erasable and rewritable read-only memory (EEPROM), flash memory, random access memory (RAM), hard disk, solid state drive (SSD), flash disk, etc. And can be transmitted using a transmission medium such as a wired network such as LAN, MAN, WAN, Internet, Intranet, Extranet, or a wireless communication network, or a combination thereof. And It is also possible to transport and put in a carrier wave. Furthermore, the above program may be a part of another program, or may be recorded on a recording medium together with a separate program.

  As described above, according to the present invention, the energy management data stored in the accumulated data storage means is monitored to determine whether it falls under the exclusion target extraction rule. Since it can be automatically created and registered in the storage exclusion condition storage means, the registration of the storage exclusion condition for realizing the storage exclusion of data including inappropriate values without providing information from the user at an appropriate timing In addition to being able to register storage exclusion conditions due to other circumstances, it is possible to implement storage exclusion due to various circumstances within a necessary range and at an appropriate time and timing. There is.

1 is an overall configuration diagram of a data collection system according to an embodiment of the present invention. Explanatory drawing which shows the transition of the data structure of the said embodiment. The figure which shows the record example of the storage exclusion condition memory | storage means of the said embodiment, and the registration example of a storage exclusion condition. The figure which shows the record structure of the exclusion target extraction rule memory | storage means of the said embodiment. The figure which shows the record structure of the exclusion cancellation | release rule memory | storage means of the said embodiment. The figure of the flowchart which shows the basic flow of the process of accumulation | storage of collection data of the said embodiment, and accumulation | storage exclusion. The figure of the flowchart which shows the flow of the process of automatic registration of the accumulation | storage exclusion condition and exclusion cancellation | release rule of the said embodiment. The figure of the flowchart which shows the flow of the process of registration of the exclusion target extraction rule by presence of several registration of the accumulation | storage exclusion conditions about the same apparatus of the said embodiment. The figure of the flowchart which shows the flow of a registration process when there exists the accumulation | storage exclusion conditions with which the content of the said embodiment overlaps. The figure of the flowchart which shows the example of the flow of the automatic division | segmentation of the accumulation | storage exclusion conditions by establishment of the exclusion cancellation | release rule of the said embodiment. The figure which shows the example of the duplication confirmation screen which confirms the accumulation | storage exclusion conditions with which the content of the said embodiment overlaps. Explanatory drawing which shows the example of cooperation with the service accompanying the charge of the said embodiment.

  An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 shows the overall configuration of a HEMS-related system including the data collection system 10 of the present embodiment. FIG. 2 shows the transition of the data structure from each individual home 50 to the data collection system 10. 3, 4, and 5 show the record configurations of the storage exclusion condition storage unit 43, the exclusion target extraction rule storage unit 44, and the exclusion cancellation rule storage unit 45. Furthermore, in FIG. 6 to FIG. 10, various processing flows by the data collection system 10 are shown in flowcharts. FIG. 11 shows an example of the duplication confirmation screen 100, and FIG. 12 shows an example of system cooperation when a user in a private house uses a service that involves charging.

  <Overall configuration of HEMS-related system including data collection system 10>

  In FIG. 1, the data collection system 10 includes one or more computers (servers), and each individual home 50 (in the present embodiment, for convenience of explanation, three individual homes 50A, 50B, and 50C are illustrated. Is a basic system that receives HEMS data transmitted via the network 1 and collects, accumulates, excludes and manages data.

  Further, a system operation staff terminal 60 operated by a system operation staff is connected to the data collection system 10 via the network 1. Further, a linkage system 70 operated and managed by a service provider that provides, for example, a service with billing is connected to the data collection system 10 via the network 1.

  Here, the network 1 is mainly the Internet, but it may be configured by a combination of various networks such as a combination of the Internet and a network such as a LAN or an intranet. It does not matter whether it is wired, wireless, or a mixed type.

  Each individual home 50 is provided with at least one (usually a plurality of) devices 52. Here, the device 52 refers to an energy-related device such as a PV (photovoltaic) system, a storage battery, a smart meter, a PHV (Plug-in Hybrid Vehicle) charger, or a home appliance. . Each individual home 50 (50A, 50B, 50C) includes a gateway server 51 (51A, 51B, 51C) that collects output data from each device 52 and transmits it to the data collection system 10, and each individual home 50 (50A, 50A, 50C). 50B, 50C) and user terminals 53 (53A, 53B, 53C) operated by users A, B, and C. Note that the user terminal 53 is illustrated in each individual house 50 here, but the “user in the individual house” or the “user in the individual house” owns the user who lives in the individual house 50 or the individual house 50. Or, since it means a rented user, the user terminal 53 includes a terminal that the user goes to and operates at a company or other destination.

  The system operation person in charge terminal 60 is configured by a computer, and includes input means such as a mouse and a keyboard and display means such as a liquid crystal display. The system operation person in charge terminal 60 may be a mobile device such as a mobile phone (including PHS), a personal digital assistant (PDA), and a tablet terminal.

  The linkage system 70 is configured by one or a plurality of computers (servers), and receives HEMS data (HEMS data stored in the accumulated data storage unit 41) transmitted from the data collection system 10 via the network 1. Processes related to various service provisions using the received HEMS data (in this embodiment, as an example, as shown in FIG. 12, a billing process is performed for the user of each individual home 50 using the service). It is a system that executes.

  <Detailed Configuration of Data Collection System 10>

  The data collection system 10 includes a data receiving unit 21, a storage exclusion condition success / failure determination unit 22, and a storage exclusion condition automatic registration unit 23 as means for executing various processes necessary for collection, accumulation, accumulation exclusion, and management of HEMS data. , Exclusion cancellation rule automatic registration means 24, exclusion cancellation means 25, accumulation exclusion condition input reception means 26, exclusion cancellation rule input reception means 27, exclusion target extraction rule registration means 28, linkage means 29, user Input receiving means 30.

  In addition, the data collection system 10 includes accumulated data storage means 41, exclusion data storage means 42, and accumulation exclusion condition storage means 43 as means for storing various information necessary for collection, accumulation, accumulation exclusion, and management of HEMS data. And an exclusion target extraction rule storage unit 44, an exclusion cancellation rule storage unit 45, and a user information storage unit 46.

  The data receiving means 21 receives HEMS data (energy management data) transmitted via the network 1 from the gateway server 51 provided in each individual home 50, and the missing portion of the HEMS data in which the unit is missing. Is executed, and further, a process of converting the format of the HEMS data is executed, and then a process of transferring the HEMS data after the format conversion to the storage exclusion condition success / failure judging means 22 is executed (FIG. 6).

  The accumulation exclusion condition success / failure determination means 22 determines whether or not the accumulation exclusion condition stored in the accumulation exclusion condition storage means 43 (see FIG. 3) is satisfied for the HEMS data received from the data reception means 21, and if so, The received HEMS data is stored in the exclusion data storage means 42 (see FIG. 2), and if not satisfied, the received HEMS data is stored in the accumulated data storage means 41 (see FIG. 2). Yes (see FIG. 6).

  More specifically, the accumulation exclusion condition success / failure determination means 22 includes the contents of the HEMS data received from the data reception means 21 (see FIG. 2) and the accumulation exclusion stored in the accumulation exclusion condition storage means 43 (see FIG. 3). The contents of each record indicating the condition are compared, and it is determined whether or not the HEMS data to be determined satisfies the accumulation exclusion condition indicated by each record. At this time, the accumulation exclusion condition success / failure determination means 22 treats the condition elements (each element constituting the accumulation exclusion condition) of each column included in the same record as an AND condition. Therefore, for example, both the condition element of the column of the gateway server identification information (HEMS-ID) for identifying the gateway server 51 (the individual house 50) and the condition element of the column of the apparatus identification information (Eoj) for identifying the device 52 If there is a designation, the case where both condition elements are satisfied is the case where the storage exclusion condition indicated by the record as a whole is satisfied. Further, when there are a plurality of accumulation exclusion condition records whose contents overlap for some or all column condition elements, the condition elements between these different records are handled as OR conditions. Therefore, if the storage exclusion condition indicated by one of the records is satisfied, the storage exclusion specified in that record is performed, so the storage exclusion ranges of both storage exclusion conditions are not in an inclusive relationship and are shifted. In this case, the range of accumulation exclusion becomes wider as a whole, and when the accumulation exclusion range of both accumulation exclusion conditions is completely inclusive, the accumulation exclusion condition with the wider accumulation exclusion range The range of storage exclusion is determined, and the storage exclusion condition with the narrower range of storage exclusion is equivalent to having no significance.

  The storage exclusion condition automatic registration means 23 determines that the storage exclusion condition is not satisfied once through the processing by the HEMS data (that is, the storage exclusion condition success / failure determination means 22) stored in the storage data storage means 41 (see FIG. 2). Whether or not it corresponds to the exclusion target extraction rule stored in the exclusion target extraction rule storage means 44 (see FIG. 4), and if applicable, it is included in the corresponding HEMS data. Using the gateway server identification information and the device identification information, the individual house 50 (or one of a plurality of nodes (HEMS) in the individual house 50) to be excluded from storage and the individual house 50 (or the individual house 50). The storage exclusion condition specifying the device 52 of the node (HEMS) is automatically created, and the automatically created storage exclusion condition is stored in the storage exclusion condition storage means 43 ( 3 reference) and executes the process of storing (see step S21~S24 in Figure 7). In the present embodiment, the processing by the accumulation exclusion condition automatic registration unit 23 is performed by batch processing.

  In addition, when the storage exclusion condition automatic registration unit 23 automatically registers the storage exclusion condition, the storage exclusion condition automatic registration unit 23 automatically notifies the user of the personally registered house 50 of the storage exclusion condition automatically registered by e-mail or the like. Execute the process. The user can confirm the notification on the user terminal 53 or the like operated by the user.

  The exclusion cancellation rule automatic registration unit 24 reverses the exclusion target extraction rule that is relevant when creating the storage exclusion condition related to automatic registration when the storage exclusion condition automatic registration unit 23 performs automatic registration of the storage exclusion condition. Automatically creates an exclusion cancellation rule, and automatically creates the exclusion cancellation rule in association with the storage exclusion condition identification information for identifying the storage exclusion condition related to automatic registration (that is, the storage exclusion condition to be canceled). Processing to be stored in the means 45 (see FIG. 5) is executed (steps S25 and S26 in FIG. 7). In the present embodiment, the processing by the exclusion cancellation rule automatic registration unit 24 is performed by batch processing.

  Exclusion release means 25 is the HEMS data stored in the exclusion data storage means 42 (see FIG. 2) (that is, the HEMS data once determined to satisfy the storage exclusion condition through the processing by the storage exclusion condition success / failure determination means 22). ) For the exclusion cancellation rule storage means 45 (see FIG. 5), it is determined whether or not it corresponds to the exclusion cancellation rule storage means 45 (see FIG. 5). The process of deleting or invalidating the storage exclusion condition to be released is executed. In the present embodiment, the processing by the exclusion cancellation unit 25 is performed by batch processing.

  The exclusion canceling means 25 is a process for deleting or invalidating the storage exclusion condition to be canceled when the HEMS data stored in the exclusion data storage means 42 (see FIG. 2) corresponds to the exclusion canceling rule. At the same time, other storage exclusion conditions whose contents overlap with those of the storage exclusion condition storage means 43 (see FIG. 3) are extracted, and priority flags ( When the flag indicating whether or not the exclusion cancellation due to the establishment of the exclusion cancellation rule has priority over the arrival of the exclusion end date) indicates that the exclusion cancellation due to the establishment of the exclusion cancellation rule is prioritized, other accumulation exclusion conditions By automatically dividing the device into a plurality of devices, a process of leaving only the storage exclusion condition for the devices 52 other than the device 52 related to the exclusion cancellation is executed (see FIG. 10).

  The storage exclusion condition input receiving means 26 receives an input for designating a private house 50 (area) and / or a device 52 to be excluded from storage transmitted from the system operation person in charge terminal 60 via the network 1. The process of creating the accumulation exclusion condition and storing the created accumulation exclusion condition in the accumulation exclusion condition storage means 43 (see FIG. 3) is executed (see step S41 in FIG. 8 and step S61 in FIG. 9).

  Further, the storage exclusion condition input receiving means 26 extracts other storage exclusion conditions whose contents overlap with those of the storage exclusion condition that has received the input from the storage exclusion condition storage means 43 (see FIG. 3). Duplicate condition display processing for displaying the storage exclusion condition on the system operation person in charge terminal 60 in a state including the storage exclusion reason is executed (see FIG. 11).

  Further, the storage exclusion condition input receiving unit 26 stores the exclusion cancellation rule corresponding to the other storage exclusion condition extracted in the above duplicate condition display processing in the exclusion cancellation rule storage unit 45 (see FIG. 5). May also execute the exclusion cancellation rule display process of acquiring the corresponding exclusion cancellation rule and displaying the screen on the system operation person in charge terminal 60 together (the description in FIG. 11 is omitted).

  Further, the storage exclusion condition input receiving means 26 searches the storage exclusion condition storage means 43 (see FIG. 3), and receives the input of the storage exclusion condition for the same device 52 provided in a different individual home 50 (area). When (registration may be accepted), whether or not the predetermined number of times for monitoring transition has been reached, including the reception of the current input (may be this registration), and Moreover, the process which sends the information to the exclusion object extraction rule registration means 28 is also performed (refer step S44 of FIG. 8).

  Further, the storage exclusion condition input receiving unit 26 receives an instruction input from the system operation person transmitted from the system operation person terminal 60 via the network 1 together with the above-described duplication condition display process and receives the instruction. By automatically dividing other storage exclusion conditions (other storage exclusion conditions whose contents overlap with the accepted storage exclusion conditions) into multiple units in units of individual houses (area units), devices, or periods Then, a process of automatically creating accumulation exclusion conditions whose contents do not overlap and storing the automatically created accumulation exclusion conditions in the accumulation exclusion condition storage means 43 (see FIG. 3) is also executed (see FIG. 9).

  When the storage exclusion condition input reception unit 26 receives the input of the storage exclusion condition, the exclusion cancellation rule input reception unit 27 receives the exclusion cancellation rule (storage exclusion) transmitted from the system operation staff terminal 60 via the network 1. The input of the exclusion cancellation rule for canceling the storage exclusion condition received by the condition input reception unit 26 is also received, and the received exclusion cancellation rule is stored in the storage exclusion condition identification information (record No. 1) for identifying the storage exclusion condition to be canceled. ) Is stored in the exclusion cancellation rule storage means 45 (see FIG. 5).

  In the exclusion target extraction rule registration means 28, the storage exclusion condition input acceptance means 26 accepts input (can be registered) of the storage exclusion condition for the same device 52 in a different individual house 50 (area) for monitoring transfer. When it is determined that the number of times has been reached, the exclusion target extraction is performed by inverting the exclusion cancellation rule stored in the exclusion cancellation rule storage unit 45 (see FIG. 5) in correspondence with the accumulation exclusion condition for the device 52. A rule is automatically created or an input of an exclusion target extraction rule transmitted from the system operation person in charge terminal 60 via the network 1 is accepted, and the exclusion target extraction rule that has been automatically created or accepted is input to the device 52 Is stored in the exclusion target extraction rule storage means 44 (see FIG. 4) in association with the device identification information for identifying 8 reference).

  The linking means 29 is a part of the HEMS data stored in the stored data storage means 41 (see FIG. 2) as charging data for charging the user in the individual home 50 (area) for use of the service. The HEMS data regarding the specific device 52 of the user's individual home 50 is transmitted to the external linkage system 70 via the network 1. The cooperation unit 29 is not limited to such billing data, but can cooperate with various services and transmit the HEMS data of the necessary device 52 to the cooperation system 70.

  The user input receiving means 30 receives user information (report information, setting information, etc.) by user A, B, C input transmitted from the user terminal 53 (53A, 53B, 53C) via the network 1, The received user information is associated with gateway server identification information (HEMS-ID) for identifying the user (that is, the individual house 50) and stored in the user information storage means 46.

  Here, the user information includes, for example, information on whether or not the electric vehicle is owned (report information). When the user input accepting unit 30 accepts the input of this information, the user input accepting unit 30 executes a process of storing in the user information storing unit 46 in the form of ON (owned) or OFF (not owned) of the electric vehicle ownership flag F. (See FIGS. 4 and 5).

  In addition, the user information includes, for example, setting information when the users A, B, and C receive a service that involves charging. The user input accepting means 30 accepts an input for designating a service usage method and a service usage period by the users A, B, and C, and if no designation input for the service usage period is accepted, a state in which no valid period is designated By automatically dividing the storage exclusion condition stored in the storage exclusion condition storage means 43 (see FIG. 3) into a plurality of periods, a period other than the service use period specified by the users A, B, and C is obtained. A process of leaving only the accumulation exclusion condition in the valid state is executed (see FIG. 12).

  As shown in FIG. 2, the accumulated data storage unit 41 stores HEMS data to be accumulated among the HEMS data collected from the gateway server 51 of each individual house 50. As will be described later, in this embodiment, data storage is performed by the KVS method, but the present invention is not limited to this.

  As shown in FIG. 2, the excluded data storage means 42 stores the HEMS data excluded from accumulation among the HEMS data collected from the gateway server 51 of each individual home 50. As will be described later, in this embodiment, data storage is performed by the KVS method, but the present invention is not limited to this.

  As shown in FIG. 3, the accumulation exclusion condition storage unit 43 stores the accumulation exclusion condition for performing accumulation exclusion on the HEMS data received by the data reception unit 21 in association with the accumulation exclusion condition identification information (record No.). To do. Here, the storage exclusion condition includes gateway server identification information (HEMS-ID or a combination of HEMS-ID and NODE-ID), device identification information (Eoj: information indicating a device object), and acquisition of values. A code (Esv) indicating the method, an exclusion start date and time indicating the start of the reference valid period of the record, and an exclusion end date and time indicating the end are included. In addition, the storage exclusion condition storage means 43 establishes an exclusion cancellation rule in association with the storage exclusion condition, rather than the storage exclusion reason (text information or selection information) input by the person in charge of system operation or the arrival of the exclusion end date and time. A priority flag or the like indicating whether or not to give priority to the cancellation of the exclusion is stored.

  Here, since the storage exclusion condition (record No. = 11) shown in FIG. 3 is set to gateway server identification information (HEMS-ID) = NULL, all the individual homes are thus obtained regardless of the gateway server identification information. 50, the device 52 having the device identification information (Eoj) = 0x0287 is the storage exclusion target. Further, the storage exclusion condition (record No. = 12) is gateway server identification information (HEMS-ID) = 51A (here, the same as the code of the gateway server 51A), and device identification information (Eoj) = 0x0287. Therefore, this is a case where the device (Eoj = 0x0287) in the private home 50A is a storage exclusion target. Furthermore, since the storage exclusion condition (record No. = 13) is set to device identification information (Eoj) = NULL, all the devices 52 in the individual home 50A are targeted for storage exclusion.

  Further, regarding the record reference valid period, since the accumulation exclusion condition (record No. = 21) is set as the exclusion start date = 01/01/2016 00:00:00 and the exclusion end date = NULL, This is a case where the storage after the date of 00 hours 00 minutes 00 seconds on month 01 is excluded. Further, since the accumulation exclusion condition (record No. = 22) is exclusion start date = NULL, exclusion end date = December 31, 2016 23:59:59, December 31, 2016 23:59 This is a case where up to 59 seconds are subject to accumulation exclusion. Further, the accumulation exclusion condition (record No. = 23) is set as exclusion start date = 2016/01/01 00:00:00, exclusion end date = 2016/12/31 23:59:59. , 2016/01/01 00:00:00 to 2016/12/31 23:59:59 are excluded from accumulation.

  Furthermore, it is also possible to create a storage exclusion condition (for example, record No. = 31 to 33) in which the individual home 50 (gateway server 51) or device 52 and the record reference valid period are combined. The storage exclusion conditions (record No. = 31) are: gateway server identification information (HEMS-ID) = 51B, device identification information (Eoj) = 0x0287, exclusion start date / time = 03/01/2016 02:30:30 Since the end date / time of exclusion = NULL, it is a case where the storage exemption target for the device (Eoj = 0x0287) in the individual home 50B is 03/01/2016 02:30:30.

  In addition, accumulation exclusion conditions whose contents overlap each other may be registered. The storage exclusion condition (record No. = 41) is gateway server identification information (HEMS-ID) = NULL and device identification information (Eoj) = 0x0287, and the device (Eoj = 0x0287) of all the individual homes 50 is accumulated. In contrast to the exclusion target, the storage exclusion condition (record No. = 42) is gateway server identification information (HEMS-ID) = 51C and device identification information (Eoj) = 0x0287. Eoj = 0x0287) is an accumulation exclusion target. Therefore, these accumulation exclusion conditions are in a completely inclusive relationship, and as described above, in the processing by the accumulation exclusion condition success / failure determination means 22, content duplication of condition elements between different records is treated as an OR condition. As a result, the storage exclusion condition (record No. = 41) having the wider storage exclusion range determines the overall storage exclusion range, and the storage exclusion condition (record No. = 42) having the narrower storage exclusion range. ) Will be in a state equivalent to having no significance.

  Further, the duplication of the contents of the storage exclusion condition occurs even in a state where the individual home 50 (gateway server 51) or the device 52 and the record reference valid period are combined. The storage exclusion condition (record No. = 51) is: gateway server identification information (HEMS-ID) = NULL, device identification information (Eoj) = NULL, exclusion start date = March 01, 2016, 12:00:00, Exclusion end date = March 31, 2016 11:59:59. On the other hand, the storage exclusion condition (record No. = 52) is: gateway server identification information (HEMS-ID) = 51C, device identification information (Eoj) = NULL, exclusion start date / time = 02/15/2016 00:00:00 Second, exclusion end date = March 15, 2016 23:59:59. Therefore, these accumulation exclusion conditions are in a state of being out of the inclusion exclusion range but not in an inclusion relationship, and are in a deviated state. In the processing by the accumulation exclusion condition success / failure determination means 22, An accumulation exclusion condition (record No. = 51) “A period from 12:00:00 on March 01, 2016 to 11:59:59 on March 31, 2016” for all devices 51, An accumulation exclusion condition (record No. = 52) of “a period from February 15, 2016 00:00:00 to March 15, 2016 23:59:59 for all the devices 51 of 50C” It will be handled under the OR condition. For this reason, during the period from February 15, 2016 00:00:00 to March 01, 2016 11:59:59, only the HEMS data of the individual house 50C is subject to accumulation exclusion. During the period from 12:00 on March 01 to 11:59:59 on March 31, 2016, the storage exclusion condition (record No. = 51) specifying all private homes 50 has priority. Therefore, for the HEMS data of the individual home 50C, the storage exclusion condition (record No. = 52) is exceeded even after the exclusion end date and time of March 15, 2016 23:59:59. Until the exclusion end date / time of record No. = 51), March 31, 2016, 11:59:59, the storage is excluded.

  As shown in FIG. 4, the exclusion target extraction rule storage unit 44 stores exclusion target extraction rules for extracting the storage exclusion target device 52 to be registered as a storage exclusion condition as exclusion target extraction rule identification information (rule No. 1). ) And memorize it. Here, the exclusion target extraction rules include device identification information (Eoj: information indicating a device object), time zone, information indicating whether or not user information is referenced, a determination algorithm (value (Edt) of the device 52, user information, etc.) And a conditional expression configured using

  As shown in FIG. 5, the exclusion cancellation rule storage means 45 stores the exclusion cancellation rule for canceling the storage exclusion due to the storage exclusion condition, as storage exclusion condition identification information (rule No.) for identifying the storage exclusion condition to be canceled. It is memorized in association with. Here, the exclusion cancellation rule includes gateway server identification information (HEMS-ID or a combination of HEMS-ID and NODE-ID), device identification information (Eoj: information indicating a device object), a time zone, It includes information indicating whether or not user information is referenced, and a determination algorithm (conditional expression configured using the value (Edt) of the device 52, user information, and the like).

  The user information storage means 46 stores user information (report information, setting information, etc.) input by the user in association with gateway server identification information (HEMS-ID) for identifying the user (that is, the individual house 50). is there. Here, the user information includes, for example, user report information (electric vehicle ownership flag F) as to whether or not the user owns an electric vehicle, and setting information when the user is provided with a chargeable service. It is. Instead of the user, user information input by a system operation person may be included.

  In the above, the data collection system 10 is not limited to that realized by one computer or one CPU, but may be realized by performing distributed processing with a plurality of computers or CPUs. .

  Each means 21 to 30 for executing various processes in the data collection system 10 defines a central processing unit (CPU) provided in the computer main body constituting the data collection system 10 and the operation procedure of this CPU. This is realized by one or a plurality of programs, a main memory, a cache memory, and the like.

  Furthermore, as each storage means 41-46 which memorize | stores various information in the data collection system 10, as a hard disk, a solid state drive (SSD), a flash disk, EEPROM, flash memory, MO, CD, DVD, FD, magnetic, for example A tape or a combination thereof can be employed.

  <Flow of various processes in HEMS related system including data collection system 10>

  In this embodiment, various processes relating to creation, collection, storage, management, utilization, etc. of HEMS data are performed by the HEMS-related system including the data collection system 10 as follows.

  (Basic flow of collected data accumulation and accumulation exclusion processing)

  As shown in FIG. 2, in each individual home 50 (50A, 50B, 50C), output data from each device 52 (output data from a sensor that detects power used in each device 52) is wireless or wired. Is transmitted to the gateway server 51 (51A, 51B, 51C) provided in each individual home 50 (50A, 50B, 50C). The output data from each device 52 is, for example, data that conforms to the format of EchonetLite (a protocol approved by the Ministry of Economy, Trade and Industry and used for communication between the gateway server 51 and each device 52). , Device identification information (here, as an example, Eoj: information indicating a device object), a code indicating a value acquisition method (here, as an example, Esv), and a unit, for example A code indicating the contents of each value (here, Epc is taken as an example) and a value (here, Edt is taken as an example) are included.

  The gateway server (HEMS-GW) 51 is a main component device of the HEMS, collects output data from each device 52, and adds gateway server identification information (HEMS-ID or HEMS-ID and NODE-) to the collected output data. HEMS data is created with a combination of ID) and a time stamp (date and time when HEMS acquired a value from the device 52), and the created HEMS data is sent to the data collection system 10 via the network 1 via a router (not shown). Send to. The HEMS data output from the gateway server 51 is, for example, data having an http / json format conforming to EchonetLite.

  The gateway server identification information may be a HEMS-ID when there is only one HEMS (one gateway server 51) in one individual house 50, but a plurality of HEMS (a plurality of gateways in one individual house 50). If a server 51) is provided, it is a combination of HEMS-ID and NODE-ID. In the latter case, the HEMS-ID is information for identifying the individual house 50, and the NODE-ID is information for identifying the first HEMS, the second HEMS, etc. provided in the individual house 50. Accordingly, when a plurality of HEMSs (a plurality of gateway servers 51) are provided in one individual house 50, the HEMS data is collected by each device 52 corresponding to each node of each individual house 50. Become.

  Conventionally, various vendors individually construct a HEMS (gateway server 51) and a base system for collecting HEMS data output from the HEMS (a system corresponding to the data collection system 10 of this embodiment). Even when data was linked from HEMS to the base system, each vendor had its own protocol and format. For this reason, each company's infrastructure system is provided in correspondence with each company's HEMS (gateway server 51), and data collection is performed on a vendor basis. Therefore, a vendor in which HEMS and the infrastructure system for data collection are integrated. It was locked in. On the other hand, since the data collection system 10 of this embodiment is configured to collect HEMS data transmitted from the HEMS (gateway server 51) of each company, the vendor lock-in state is eliminated. However, the data collection system of the present invention does not exclude a base system of each company that is in a vendor lock-in state as in the past, and may be a system that collects data on a vendor basis. .

  In FIG. 6, in the data collection system 10, when the HEMS data transmitted from the gateway server 51 provided in each individual home 50 via the network 1 is received by the data receiving means 21 (step S1), the unit and the like are lost. A process for complementing the missing portion of the HEMS data being executed is executed (step S2), and further, a process for converting the format of the HEMS data is executed (step S3), and thereafter, the HEMS data after the format conversion is excluded from accumulation Delivered to the condition success / failure determination means 22.

  Subsequently, the storage exclusion condition success / failure determination means 22 determines whether the HEMS data received from the data reception means 21 satisfies the storage exclusion condition stored in the storage exclusion condition storage means 43 (see FIG. 3) (FIG. 3). 6 step S4).

  Here, when the accumulation exclusion condition is not satisfied (when the accumulation exclusion condition is not satisfied), the received HEMS data is stored in the accumulated data storage means 41 (see FIG. 2) (step S5 in FIG. 6). On the other hand, when the accumulation exclusion condition is satisfied (when it is an accumulation exclusion target), the received HEMS data is stored in the exclusion data storage means 42 (see FIG. 2) (step S6 in FIG. 6). Then, the basic flow of the collected HEMS data accumulation and accumulation exclusion process is terminated.

  At this time, the storage exclusion condition success / failure determination means 22 is, as an example, shown in FIG. 2, the storage exclusion condition success / failure determination means 22 for KEMS (Key Value Store: Key- Save data using the Value Store method.

  That is, for the combination of gateway server identification information (HEMS-ID, or a combination of HEMS-ID and NODE-ID), device identification information (Eoj), and a code (Esv) indicating a value acquisition method, A key (Key) consisting of a number or a character string is assigned, and these correspondences are stored in a record of the key conversion table together with a time stamp (date and time when the HEMS acquires a value from the device 52). This key conversion table may be data stored by a relational database (RDB).

  Further, for example, a code (Epc) and a value (Edt) indicating the content of a value such as a unit are set as a KVS value (Value), and the stored data storage means 41 or excluded data is associated with the assigned key (Key). Store in the storage means 42. In FIG. 2, the key conversion table is illustrated as being included in the accumulated data storage unit 41 and the excluded data storage unit 42 for convenience of explanation, but actually, the key conversion table is stored in the KVS data storage. It is stored in an area secured separately from the area.

  (Flow of automatic registration processing for storage exclusion conditions and exclusion cancellation rules)

  Further, as shown in FIG. 7, the storage exclusion condition automatic registration unit 23 temporarily processes the HEMS data (that is, the storage exclusion condition success / failure determination unit 22) stored in the storage data storage unit 41 (see FIG. 2). The HEMS data determined not to satisfy the storage exclusion condition) corresponds to the exclusion target extraction rule, and is executed as a batch process.

  In FIG. 7, the storage exclusion condition automatic registration unit 23 reads the HEMS data to be determined from the stored data storage unit 41 (see FIG. 2) (step S21). For example, when executing once a day in a nighttime batch process, the HEMS data for one day is the target of determination, and the batch process is performed several times a day or several times a week. In the case of execution, the HEMS data accumulated after the previous process becomes a determination target.

  Subsequently, the storage exclusion condition automatic registration unit 23 determines whether the read HEMS data corresponds to the exclusion target extraction rule stored in the exclusion target extraction rule storage unit 44 (see FIG. 4) (FIG. 7). Step S22). This exclusion target extraction rule is, for example, the rule No. 1 shown in FIG. = R1 record, the rule that the photovoltaic power generation amount is integrated in the night time zone, the rule No. shown in FIG. In the case of the record of R2 = R2, the rule that the power sale is integrated even though the solar power generation is not performed, the rule No. shown in FIG. In the case of the record of = R3, there is a rule that the PHV charger is charged even though the electric vehicle is not owned (user report information).

  At this time, the storage exclusion condition automatic registration means 23 extracts HEMS data (see FIG. 2) having device identification information (Eoj) that matches the device identification information (Eoj) constituting the exclusion target extraction rule (see FIG. 4). To do. In addition, when there are a plurality of device identification information (Eoj) constituting the exclusion target extraction rule (see FIG. 4), the HEMS has device identification information (Eoj) that respectively matches the plurality of device identification information (Eoj). Data (see FIG. 2) having the same or substantially the same time stamp is extracted. Further, when a time zone constituting the exclusion target extraction rule (see FIG. 4) is designated, HEMS data (see FIG. 2) having a time stamp included in the time zone is extracted. In addition, when the user information reference constituting the exclusion target extraction rule (see FIG. 4) is specified, the gateway server identification information (HEMS-ID or HEMS-) included in the extracted HEMS data (see FIG. 2). Since the gateway server 51 can be specified by the combination of ID and NODE-ID (that is, the user of the individual house 50 where the gateway server 51 is installed can be specified), the gateway server identification information can be obtained from the user information storage means 46. User information associated with the user (user information related to reference designation) is acquired. Then, using the value (Edt) included in the extracted HEMS data (see FIG. 2) and the acquired user information, a conditional expression indicating a determination algorithm that constitutes the exclusion target extraction rule (see FIG. 4) is satisfied. Determine whether.

  Specifically, the storage exclusion condition automatic registration means 23 is, for example, the rule No. shown in FIG. In the case of the record of = R1, the device identification information (Eoj) extracts the HEMS data that is the device X that outputs the photovoltaic power generation amount. Further, HEMS data included in a time zone from 20:00 to 04:00 the next day is extracted from the time stamp. Then, it is determined whether or not a conditional expression “value of device X (Edt) is K or more” is satisfied for the extracted HEMS data. Thereby, the success / failure determination of the exclusion target extraction rule that the amount of photovoltaic power generation is integrated in the night time zone can be performed.

  Also, the rule No. 1 shown in FIG. In the case of the record of = R2, the HEMS data having the device identification information (Eoj) that is the device X that outputs the amount of photovoltaic power generation and the time stamp of the same time or substantially the same time is extracted. Then, the device identification information (Eoj) that is the device Y that outputs the power sale data is extracted. Then, it is determined whether or not the condition expression “the value of device X (Edt) is K or less and the value of device Y (Edt) is L or more” is satisfied for the extracted HEMS data. As a result, it is possible to determine whether or not the exclusion target extraction rule that power sales are integrated even though solar power generation is not performed is successful.

  Furthermore, rule No. 1 shown in FIG. In the case of the record of = R3, the HEMS data in which the device identification information (Eoj) is the device Z that outputs the charge amount of the PHV charger is extracted. Further, using the gateway server identification information (HEMS-ID or a combination of HEMS-ID and NODE-ID) included in the extracted HEMS data, the user information (electric vehicle ownership flag F Status). Then, it is determined whether or not the conditional expression “electric vehicle ownership flag F = OFF (not owned) and the value of device Z (Edt) is M or more” is satisfied. Thereby, although the electric vehicle is not owned (user's report information), the success / failure determination of the exclusion target extraction rule that the PHV charger is charged can be performed.

  When it is determined in step S22 that the rule does not correspond to the exclusion target extraction rule, the process proceeds to step S27 described later. On the other hand, if it is determined that it falls under the exclusion target extraction rule, the storage exclusion condition automatic registration means 23 uses the gateway server identification information (HEMS-ID or HEMS-ID and NODE-ID included in the corresponding HEMS data). ) And the device identification information (Eoj), and the individual house 50 (or one of a plurality of nodes (HEMS) in the individual house 50) and the individual house 50 (or the individual). An accumulation exclusion condition specifying the device 52 of the node (HEMS) in the home 50 is automatically created (step S23 in FIG. 7). Note that the validity period (exclusion start date and time and exclusion end date and time) of the storage exclusion condition automatically created here is NULL.

  For example, rule No. 1 shown in FIG. In the case of the record of = R1, since the device constituting the exclusion target extraction rule is the device X, the HEMS data corresponding to the exclusion target extraction rule is the HEMS for the device X of the individual home 50A (gateway server 51A). If it is data, an accumulation exclusion condition (record No. = 61) for excluding accumulation of HEMS data for the device X of the individual home 50A (gateway server 51A) is automatically created (see FIG. 3).

  Also, the rule No. 1 shown in FIG. In the case of the record of = R2, the devices constituting the exclusion target extraction rule are the two devices X and Y. Therefore, for the success / failure determination of the rule, the HEMS data for the device X and the HEMS data for the device Y are used. Is involved. In this case, (1) it is assumed that the HEMS data corresponding to the exclusion target extraction rule is HEMS data for both devices X and Y, and a storage exclusion condition for excluding both of the devices may be automatically created. , (2) The first half (equipment X), which is a premise part of the determination algorithm of the exclusion target extraction rule (“conditional expression that the value of device X (Edt) is K or less and the value of device Y (Edt) is L or more”)) ), The storage exclusion condition may be automatically created only for the latter half (device Y) without creating the storage exclusion condition. Therefore, the latter (2) is adopted here, and for example, the HEMS data corresponding to the exclusion target extraction rule is only the HEMS data for the device Y of the individual home 50B (gateway server 51B), and the individual home 50B (gateway server) 51B), a storage exclusion condition (record No. = 62) for automatically excluding the HEMS data for the device Y is automatically created (see FIG. 3). When the former (1) is adopted, since it is unknown which value of the devices X and Y is inappropriate, any HEMS data is stored and excluded. For example, the individual home 50B (gateway server) 51B) Not only automatically creating an accumulation exclusion condition (record No. = 62) for excluding accumulation of HEMS data for the device Y (see FIG. 3), but also for the device X of the individual home 50B (gateway server 51B) The storage exclusion condition (record No. = 64) for excluding the storage of the HEMS data is automatically created (however, the description in FIG. 3 is omitted).

  Furthermore, rule No. 1 shown in FIG. In the case of the record of R = R3, the device constituting the exclusion target extraction rule is the device Z. For example, the HEMS data corresponding to the exclusion target extraction rule is the device Z of the individual home 50C (gateway server 51C). Storage exclusion condition (record No. = 63) for automatically excluding the HEMS data for the device Z of the individual home 50C (gateway server 51C) is automatically created (see FIG. 3).

  Then, the storage exclusion condition automatic registration means 23 stores the automatically created storage exclusion condition in the storage exclusion condition storage means 43 (see FIG. 3) (step S24 in FIG. 7). In the above example, the storage exclusion condition (record No. = 61 to 63, or 64 in addition thereto) is automatically registered.

  In addition, the storage exclusion condition automatic registration means 23 notifies the user of the individual home 50 of the storage exclusion condition automatically registered by e-mail or the like that the storage exclusion condition is automatically registered (including the contents of the storage exclusion condition). Notification is automatically made (step S24 in FIG. 7). The user confirms the notification on the user terminal 53 or the like operated by the user.

  Thereafter, the exclusion cancellation rule automatic registration means 24 cancels the exclusion by inverting the exclusion target extraction rule (exclusion target extraction rule determined to be applicable in step S22 described above) that was applicable when creating the storage exclusion condition related to automatic registration. Rules are automatically created (step S25 in FIG. 7).

  Here, inverting the exclusion target extraction rule means that the above (may be exceeded) in the determination algorithm is replaced with the following (may be less). For example, rule No. 1 shown in FIG. = R1 record, the determination algorithm of the exclusion target extraction rule is a conditional expression “the value of device X (Edt) is equal to or greater than K”. Therefore, if this is inverted, the storage exclusion condition ( Like the exclusion cancellation rule for canceling record No. = 61), the conditional expression “the value of device X (Edt) is K or less” is used. Thereby, it is possible to automatically create an exclusion cancellation rule that the amount of photovoltaic power generation is not integrated in the night time zone.

  Also, the rule No. 1 shown in FIG. In the case of the record of = R2, the determination algorithm of the exclusion target extraction rule is a conditional expression that “the value of device X (Edt) is K or less and the value of device Y (Edt) is L or more”. Is reversed, as in the exclusion cancellation rule for canceling the storage exclusion condition (record No. = 62) shown in FIG. 5, “the value of device X (Edt) is not more than K and the value of device Y ( Edt) is equal to or less than L ”. Thereby, it is possible to automatically create an exclusion cancellation rule that no photovoltaic power generation is performed and no power sales are accumulated. In this case, if the replacement of the above (may be over) and the following (may be under) is performed in two places, the first half and the second half, it becomes a meaningless rule, so the first half (device) The conditional expression of X is left as it is, and only the latter half (conditional expression of device Y) is replaced.

  Furthermore, rule No. 1 shown in FIG. In the case of the record of = R3, the determination algorithm of the exclusion target extraction rule is a conditional expression that “the electric vehicle ownership flag F = OFF (not owned) and the value (Edt) of the device Z is M or more”. Therefore, when this is reversed, as in the exclusion cancellation rule for canceling the storage exclusion condition (record No. = 63) shown in FIG. , The value of the device Z (Edt) is M or less ”. Thereby, it is possible to automatically create an exclusion cancellation rule that the user does not own an electric vehicle (user report information) and the PHV charger is not charged. In this case as well, the first half (ON / OFF of the electric vehicle ownership flag F), which is a prerequisite, is left as it is, and only the second half (conditional expression for the device Z) is replaced.

  Subsequently, the storage exclusion condition identification information (record No. 1) for identifying the storage exclusion condition (that is, the storage exclusion condition to be canceled) related to the automatic registration is automatically converted to the exclusion cancellation rule automatically created by the exclusion cancellation rule automatic registration means 24. ) And stored in the exclusion cancellation rule storage means 45 (see FIG. 5) (step S26 in FIG. 7). In the above example, the accumulation exclusion condition to be canceled is the accumulation exclusion condition (record No. = 61 to 63). It should be noted that rule No. 1 shown in FIG. When the storage exclusion condition (record No. = 62, 64) for both devices X and Y is automatically created and automatically registered in the case of the record of R2 = R2, the storage exclusion condition to be canceled is the storage exclusion condition. The exclusion condition (record No. = 62, 64) is established, and both pieces of identification information are stored in the storage exclusion condition identification information column to be canceled in the exclusion cancellation rule storage unit 45 (see FIG. 5).

  Then, it is determined whether or not unprocessed HEMS data remains among the determination target HEMS data read in step S21 described above (step S27 in FIG. 7). Returning to the process of S22, if there is no remaining, the process ends.

  (Monitoring success / failure rule)

  Further, although not shown in the flowchart, the exclusion cancellation unit 25 performs processing by the HEMS data (that is, the accumulation exclusion condition success / failure determination unit 22) stored in the exclusion data storage unit 42 (see FIG. 2). The HEMS data determined to satisfy the storage exclusion condition) is executed as a batch process for monitoring whether or not it falls under the exclusion cancellation rule.

  That is, the exclusion cancellation unit 25 reads the HEMS data to be determined from the exclusion data storage unit 42 (see FIG. 2). For example, when executing once a day in a nighttime batch process, the HEMS data for one day is the target of determination, and the batch process is performed several times a day or several times a week. In the case of execution or the like, the HEMS data that has been excluded from storage after the previous processing is a determination target.

  Subsequently, the exclusion cancellation unit 25 determines whether the read HEMS data corresponds to the exclusion cancellation rule stored in the exclusion cancellation rule storage unit 45 (see FIG. 5). At this time, the determination as to whether or not it falls under the exclusion cancellation rule is the same as the determination as to whether or not it falls under the exclusion target extraction rule by the storage exclusion condition automatic registration means 23 in step S22 of FIG.

  If it is determined that the exclusion cancellation rule is satisfied, the exclusion cancellation unit 25 deletes or invalidates the storage exclusion condition to be canceled stored in the storage exclusion condition storage unit 43 (see FIG. 3). Run.

  (Flow of processing for registering exclusion target extraction rules due to the presence of multiple registrations for the storage exclusion condition for the same device)

  In the data collection system 10, not only automatic registration of accumulation exclusion conditions but also manual registration by a system operator is performed. At this time, manual registration of accumulation exclusion conditions for the same device 52 provided in different individual homes 50 may be performed a plurality of times, and the processing in such a case will be described below with reference to FIG. . Note that these multiple manual registrations may be input by the same system operation person, or may be input by different system operation persons.

  In FIG. 8, the storage exclusion condition input receiving means 26 sends a private house 50 (gateway server 51) and / or equipment 52 to be excluded from storage transmitted from the system operation staff terminal 60 via the network 1, and its A storage exclusion condition is created by accepting an input by a system operator in charge for specifying the effective period of storage exclusion (exclusion start date and time and exclusion end date and time) (step S41), and the created storage exclusion condition is stored in the storage exclusion condition storage means. 43 (see FIG. 3) (step S42). Note that, during this registration, there may be a case where confirmation processing of the accumulation exclusion condition whose contents are duplicated is described in detail in FIG. 9 described later.

  Further, the exclusion cancellation rule input receiving unit 27 excludes the exclusion cancellation rule (exclusion for canceling the storage exclusion condition received by the storage exclusion condition input receiving unit 26) transmitted from the system operation staff terminal 60 via the network 1. (Removal rule) input is also received, and the received exclusion cancellation rule is registered in the exclusion cancellation rule storage means 45 (see FIG. 5) in association with the storage exclusion condition identification information (record No.) for identifying the storage exclusion condition to be canceled. May be.

  Subsequently, the storage exclusion condition input receiving unit 26 searches the storage exclusion condition storage unit 43 (see FIG. 3) using the device identification information (Eoj) for the device 52 of the storage exclusion condition that has received the input (see FIG. 8). In step S43), input of storage exclusion conditions for the same device 52 (the device 52 provided in a different private house 50) as the device 52 of the storage exclusion conditions that has received the input (may be registered). It is determined whether or not a predetermined number of times for monitoring transition (for example, 10 times) has been reached including the reception of the current input (may be the current registration) (step S44 in FIG. 8). For example, it is assumed that the number of times for monitoring shift is set to 10 times, and the storage exclusion condition registration for the device X already exists in nine individual homes 50. In this registration, When this happens, the number of times for monitoring transition will be reached.

  Here, if it is determined that the number of times for monitoring shift has not been reached, the process is terminated. On the other hand, when it is determined that the number of times for monitoring shift has been reached, the accumulation exclusion condition input receiving unit 26 sends the information to the exclusion target extraction rule registration unit 28. Then, the exclusion target extraction rule registration means 28 stores the accumulation exclusion condition identification information (record No.) of each accumulation exclusion condition for the device 52 whose input has been received (registered) may have reached the number of times of monitoring shift. In use, each exclusion cancellation rule stored in the exclusion cancellation rule storage means 45 (see FIG. 5) corresponding to each of these accumulation exclusion conditions is acquired (step S45 in FIG. 8). The number of exclusion cancellation rules acquired here is not limited to one, but may be plural, and there may be no corresponding exclusion cancellation rule.

  Subsequently, the exclusion target extraction rule registration unit 28 automatically creates an exclusion target extraction rule by inverting the acquired exclusion cancellation rule (step S46 in FIG. 8). At this time, the inversion method is the same as the inversion method when the exclusion cancellation rule automatic registration unit 24 inverts the exclusion target extraction rule to automatically create the exclusion cancellation rule (step S25 in FIG. 7). It only reverses. In addition, when there are a plurality of exclusion cancellation rules acquired in step S45 in FIG. 8 and the contents of the plurality of exclusion cancellation rules are different (for example, when thresholds for determining a determination algorithm are different), an average value is calculated. The contents of the exclusion cancellation rule to be reversed may be determined by taking the most severe value, taking the most gradual value, or the like.

  If there is no exclusion cancellation rule that can be obtained in step S45 of FIG. 8 described above, the exclusion target extraction rule registration unit 28 transmits the rule from the system operation staff terminal 60 via the network 1. An exclusion target extraction rule input by the system operation person is accepted (step S46 in FIG. 8). It should be noted that even if there is at least one exclusion cancellation rule that can be acquired in step S45 of FIG. 8 and an exclusion target extraction rule can be automatically created, the exclusion target extraction rule by the system administrator May be accepted.

  The exclusion target extraction rule that is automatically created or accepted in step S46 is, for example, for monitoring the devices X of all the individual homes 50 (excluding the ten registered homes 50). is there. Therefore, in this example, the HEMS data for the device X of the nine individual homes 50 has been subject to storage exclusion so far, but now the registration of the storage exclusion condition for the device X of the tenth home 50 is registered. Thus, the device X is set as the device 52 that needs to be monitored.

  Then, the exclusion target extraction rule registration means 28 automatically identifies the device 52 that identifies the device 52 that has received the input (or may be registered) of the exclusion target extraction rule whose input has been received. In association with the identification information (Eoj), it is registered in the exclusion target extraction rule storage means 44 (see FIG. 4) (step S47 in FIG. 8), and the process ends.

  Thereafter, when the exclusion target extraction rule is registered in the exclusion target extraction rule storage unit 44 (see FIG. 4) as described above, the monitoring process in step S22 of FIG. When established, the automatic creation and automatic registration of the storage exclusion conditions in steps S23 and S24 of FIG. 7 described above are performed. Accordingly, in the above-described example, the storage exclusion condition for the device X of the 11th and subsequent private homes 50 is registered, and the HEMS data for the device X of the 11th and subsequent private homes 50 is stored and excluded. It becomes a target.

  (Registration process flow when there are duplicate storage exclusion conditions)

  In FIG. 9, the storage exclusion condition input receiving means 26 transmits a private storage 50 (gateway server 51) and / or device 52 to be excluded from storage transmitted from the system operation person in charge terminal 60 via the network 1, and A storage exclusion condition is created by accepting an input by a system operator in charge of designating a valid period of accumulation exclusion (exclusion start date and time and exclusion end date and time) (step S61). The acceptance of the storage exclusion condition is the same as the acceptance of the storage exclusion condition input in step S41 of FIG. Further, the exclusion cancellation rule input accepting unit 27 may accept the input of the exclusion cancellation rule as in the case of step S41 in FIG.

  Subsequently, the storage exclusion condition input receiving unit 26 extracts other storage exclusion conditions whose contents overlap with those of the storage exclusion condition that has received the input from the storage exclusion condition storage unit 43 (see FIG. 3) (see FIG. 9). Step S62). In addition, when the exclusion exclusion rule corresponding to the other accumulation exclusion condition extracted is stored in the exclusion cancellation rule storage unit 45 (see FIG. 5) by the accumulation exclusion condition input receiving unit 26, the corresponding exclusion cancellation rule is stored. May be acquired (step S62 in FIG. 9).

  Then, when the storage exclusion condition input receiving means 26 displays the other extracted storage exclusion conditions on the system operation person in charge terminal 60 in a state including the storage exclusion reason, and the corresponding exclusion cancellation rule is acquired. The corresponding exclusion cancellation rule is also displayed on the screen (step S63 in FIG. 9).

  FIG. 11 shows an example of the duplication confirmation screen 100 displayed on the system operation person in charge terminal 60. This duplication confirmation screen 100 is provided with a display section 110 for registered accumulation exclusion conditions with duplicate contents, and the contents of all the registered accumulation exclusion conditions with duplicate contents are recorded in the record of FIG. It is shown in a state corresponding to. In addition, the duplication confirmation screen 100 is provided with a storage exclusion condition display unit 120 that has received an input as a registration target this time, and this display unit 120 is also in a state corresponding to the record of FIG. It is shown in

  Furthermore, the duplication confirmation screen 100 includes the registered accumulation exclusion conditions whose contents are duplicated and the accumulation exclusion conditions that have been received as registration targets this time, in units of individual homes (units of gateway servers), units of devices, A duplication status display unit 130 is provided which is automatically disassembled in units of periods so that the system operator can easily grasp the duplication status of each storage exclusion condition. In the example of FIG. 11, the display unit 130 decomposes a total of three storage exclusion conditions including the two registered storage exclusion conditions and the storage exclusion condition that has been accepted this time into periods T1, T2, and T3. Duplicate status is shown.

  Thereafter, the storage exclusion condition input accepting unit 26 accepts an input of an instruction by the system operation person transmitted from the system operation person terminal 60 via the network 1 (step S64 in FIG. 9). This instruction is an instruction of the registration method of what kind of storage exclusion conditions should be registered, such as a method of registering appropriate storage exclusion conditions while avoiding duplication of contents, including division of registered storage exclusion conditions. is there.

  The duplication confirmation screen 100 of FIG. 11 is provided with an input unit 140 for instructions from the system operator. The input unit 140 is provided with an input box corresponding to the overlapping status display unit 130. In the example of FIG. 11, the input box is provided divided into periods T1, T2, and T3. Here, for the period T1, the system operation person in charge of the registered accumulation exclusion condition (record No. = 81) excludes all the devices 52 of the individual home 50A from the accumulation exclusion target. In the input, the device X of the individual home 50A is the storage exclusion target, but an instruction is input that the two devices X and Y should be the storage exclusion target instead of all the devices 52. In addition, for the period T2, the registered storage exclusion condition (record No. = 82) is the storage exclusion target for the devices X of all the individual homes 50, whereas the initial input is for the individual home 50A. When the device X is a storage exclusion target, an instruction is input that the three homes 50A, 50B, and 50C may be the storage exclusion target instead of all the individual homes 50. In addition, since there is no duplication of contents for the period T3, input to the input box is disabled.

  Then, according to the instruction from the system operation person, the storage exclusion condition input receiving means 26 sets other storage exclusion conditions (other storage exclusion conditions whose contents overlap with the input storage exclusion conditions) as individual home units. By automatically dividing into multiple units (gateway server units), device units, or period units, storage exclusion conditions that do not overlap are automatically created, and the automatically created storage exclusion conditions are stored in the storage exclusion condition storage means 43 (see FIG. 3). ) (Step S65 in FIG. 9), and the processing related to duplication of contents of the accumulation exclusion condition is terminated.

  The duplicate confirmation screen 100 of FIG. 11 is provided with a “Confirm” button 150 for the instruction content. When this “Confirm” button 150 is clicked, the storage exclusion condition after division is automatically created according to the instruction from the system operator. The display unit 160 is displayed. In the example of FIG. 11, the accumulation exclusion condition (record No. = 83, 84) of the two devices X and Y in the same individual home 50A is displayed for the period T1. For the period T2, the storage exclusion conditions (record No. = 85, 86, 87) of the same device X in the three individual homes 50A, 50B, 50C are displayed. Further, for the period T3, the storage exclusion condition (record No. = 88) for the device X of the individual home 50A is displayed. When the “registration” button 171 provided on the duplication confirmation screen 100 is clicked, the accumulation exclusion condition is registered as displayed on the display unit 160. When the “redo input” button 172 is clicked, an instruction is displayed. When the input to each input box of the input unit 140 is cleared and the display of the storage exclusion condition display unit 160 after the division disappears, the input can be performed again. When the “Cancel” button 173 is clicked, The display of the duplication confirmation screen 100 in FIG. 11 and the input made there are all cancelled.

  (Flow of automatic division of storage exclusion conditions due to establishment of exclusion cancellation rules)

  In the data collection system 10, as described above (however, illustration in the flowchart is omitted), the exclusion cancellation unit 25 performs the process of monitoring the success / failure of the exclusion cancellation rule, as shown in FIG. In addition, the storage exclusion condition may be automatically divided due to the establishment of the exclusion cancellation rule.

  In FIG. 10, first, it is assumed that the storage exclusion condition (record No. = 71, exclusion end date = NULL) and the exclusion cancellation rule for the device X of the individual home 50A (gateway server 51A) are registered (step S81). ). This registration may be automatic registration by the storage exclusion condition automatic registration means 23 and the exclusion cancellation rule automatic registration means 24 (see steps S24 and S26 in FIG. 7), and the storage exclusion condition input reception means 26 and the exclusion cancellation rule input reception means 27. Alternatively, manual registration may be performed at the input reception (see step S41 in FIG. 8 and step S61 in FIG. 9). In the case of the former automatic registration, for example, for the device X, the HEMS data of the device X in the private home 50A becomes an abnormal value when there are many users who make a mistake in the setting and the exclusion target extraction rule is set. Therefore, the exclusion target extraction rule is established, and the accumulation exclusion condition (record No. = 71, exclusion end date = NULL) for excluding accumulation of the device X of the individual home 50A is automatically registered, and the accumulation exclusion condition ( This is the case, for example, when an exclusion cancellation rule for canceling record No. = 71) is also automatically registered.

  Since the storage exclusion condition (record No. = 71, exclusion end date = NULL) for the device X of the individual home 50A is registered, the HEMS data of the device X of the individual home 50A is excluded from the storage and excluded data It is stored in the storage means 42 (see FIG. 2).

  Next, manual registration of accumulation exclusion conditions (record No. = 72, exclusion end date = t, priority flag = ON (exclusion cancellation rule takes precedence)) for all devices 52 of the individual home 50A (gateway server 51A) is performed. Suppose that it is broken (step S82 in FIG. 10). For example, until the end date / time of exclusion = t, registration is for reasons of storage exclusion, such as not wanting to disclose the HEMS data of the private home 50A. In addition, the priority flag is set to ON, for example, in a situation where the HEMS data of the individual home 50A is not desired to be disclosed as a whole, but there is a guarantee that the HEMS data of some devices 52 are normal values. If obtained, only the HEMS data of the device 52 may be disclosed. The storage exclusion condition (record No. = 72) is the same as the storage exclusion condition (record No. = 71) registered in step S81 of FIG. 10 except that there is a period of exclusion end date = t. Excludes a wide range of accumulation.

  Thereafter, the HEMS data of the device X of the individual home 50A that has been stored and excluded and stored in the exclusion data storage means 42 (see FIG. 2) becomes a normal value, and the exclusion cancellation means 25 monitors the success or failure of the exclusion cancellation rule. , It is assumed that an exclusion cancellation rule corresponding to the previously registered storage exclusion condition (record No. = 71) is established (step S83 in FIG. 10).

  At this time, the previously registered accumulation exclusion condition (record No. = 71) is deleted or invalidated by the exclusion cancellation unit 25 as the accumulation exclusion condition to be canceled. Further, the exclusion canceling means 25, together with this processing, from the storage exclusion condition storage means 43 (see FIG. 3), other accumulations whose contents overlap with those of the storage exclusion condition (record No. = 71) to be canceled. Exclusion condition extraction processing is performed, and a storage exclusion condition (record No. = 72) registered later is extracted (step S84 in FIG. 10).

  Subsequently, a priority flag (other than the arrival of the exclusion end date / time) is established with respect to the other accumulated exclusion conditions extracted by the exclusion cancellation means 25, that is, the storage exclusion conditions (record No. = 72) registered later. Reference is made to a flag indicating whether or not priority is given to the cancellation. Then, since the priority flag for the storage exclusion condition (record No. = 72) is ON (indicating that priority is given to the exclusion cancellation due to the establishment of the exclusion cancellation rule), the exclusion cancellation means 25 performs other accumulation. Exclusion conditions, that is, storage exclusion conditions (record No. = 72) registered later are automatically divided into a plurality of devices, so that devices 52 other than device X related to the exclusion cancellation (here, device Y, device Z, etc.) The process of leaving only the accumulation exclusion condition for “A.” is left valid (step S85 in FIG. 10). In other words, the storage exclusion is canceled for the device X, and the storage exclusion is continued for the other devices Y, Z, and the like.

  That is, the exclusion cancellation unit 25 automatically divides the storage exclusion condition (record No. = 72) for all the devices 52 of the individual home 50A (gateway server 51A), and the device Y of the individual home 50A (gateway server 51A) The storage exclusion condition (record No. = 73), the storage exclusion condition (record No. = 74) for the device Z of the private home 50A (gateway server 51A), etc. are automatically created, and the storage exclusion condition storage means 43 (FIG. 3). Automatically).

  (Cooperation with services with billing)

  FIG. 12 shows an example of cooperation between the data collection system 10 and a service with charging. The service with billing is specified because the output value of a specific device 52 (device Y in the example of FIG. 12) provided in each individual home 50 varies with the use of the service by the user of each individual home 50. This is a service for performing billing processing for the user using the output value of the device 52. In addition, for the target service, for example, even when the user is not using the service, an output value that is not zero (an output value that should not be passed to the user) is detected from the specific device 52. For this reason, when it is not used, it is basically better to exclude storage (charging processing using stored data becomes easier). A service provider that provides this service either operates or manages the linkage system 70 by itself, or requests an agent.

  The user accesses his / her data collection system 10 by operating his / her user terminal 53 in order to register the use of the service with billing. In the data collection system 10, user information (settings relating to use of services) by the input of the users A, B, and C transmitted from the user terminal 53 (53 A, 53 B, 53 C) via the network 1 by the user input receiving unit 30. Information) and the received user information is registered in the user information storage means 46 in association with gateway server identification information (HEMS-ID) for identifying the user (ie, the individual house 50).

  Specifically, as shown in FIG. 12, the user input receiving unit 30 first displays a service use method designation screen 200 on the screen of the user terminal 53. This service usage method designation screen 200 includes a plan 1 selection unit 201 that always uses a service, a plan 2 selection unit 202 that uses a service by specifying a period (date and time) in advance, and a “registration” button 203. And are provided. The user selection information in these selection units 201 and 202 is transmitted to the data collection system 10 via the network 1 when the “registration” button 203 is clicked, and user information (user setting information) is received by the user input receiving means 30. ) Is registered in the user information storage means 46.

  In addition, when Plan 2 is selected, the user input reception unit 30 is a storage exclusion condition for a specific device 52 (device Y in the example of FIG. 12) related to service use, and is an effective period in the initial state. Is created and registered in the storage exclusion condition storage means 43 (see FIG. 3). It should be noted that the storage exclusion condition in a state where the validity period is not specified (initial state) may be input by a system operator and received by the storage exclusion condition input receiving unit 26 and registered. On the other hand, when the plan 1 is selected, the HEMS data for the specific device 52 (device Y in the example of FIG. 12) related to the service use is always used for the charging process, so there is no need to exclude it. Therefore, the accumulation exclusion condition is not created.

  Subsequently, when the user selects the plan 2, the detailed setting screen 210 of the plan 2 is displayed on the screen of the user terminal 53 by the user input receiving unit 30. The detailed setting screen 210 is provided with an input unit 211 for designating a period (date and time) for using the service, and a “Register” button 212. In the example of FIG. 12, the input unit 211 performs input in units of days in a calendar format, but is not limited to this input format. When the “register” button 212 is clicked in the state where the service use date is specified in the input unit 211, the specification information on the service use date is transmitted to the data collection system 10 via the network 1, and the user The information is registered in the user information storage unit 46 as user information (user setting information) by the input receiving unit 30.

  In addition, when the user input accepting unit 30 accepts the specification information of the service use period (the day on which the service is used), the storage exclusion is performed in a state where no valid period is specified (all periods are excluded from storage). By automatically dividing the storage exclusion condition stored in the condition storage unit 43 (see FIG. 3) into a plurality of periods, a service usage period (input unit) designated by the user (user B in the example of FIG. 12) The process of leaving only the accumulation exclusion condition for the period other than the date (the date checked in 211) (the date not checked in the input unit 211) is executed. That is, an accumulation exclusion condition for a specific device 52 related to service use (device Y in the example of FIG. 12) that automatically creates a valid period that does not use the service is created, and the accumulation exclusion condition storage unit 43 (See FIG. 3). In the example of FIG. 12, the storage exclusion condition (record No. = 91) that is in a state in which the validity period is not designated in the initial state is automatically divided according to the designation information on the date of using the service in the input unit 211, Eleven accumulation exclusion conditions (record No. = 92 to 102) are automatically created and registered in the accumulation exclusion condition storage means 43 (see FIG. 3).

  By registering these 11 accumulation exclusion conditions (record No. = 92 to 102), the HEMS data of the device Y of the individual home 50B on the day when the service is not used is excluded from accumulation and stored in the exclusion data storage means 42. The On the other hand, the HEMS data of the device Y of the private home 50B on the day of using the service is stored in the accumulated data storage means 41 without being excluded from accumulation. Then, the HEMS data of the device Y of the private home 50B stored in the accumulated data storage unit 41 is transmitted to the linkage system 70 via the network 1 by the linkage unit 29 and used for the billing process.

  <Effect of data collection system 10>

  According to this embodiment, there are the following effects. That is, since the data collection system 10 includes the accumulation exclusion condition storage unit 43 (see FIG. 3) and the accumulation exclusion condition success / failure determination unit 22, it is possible to perform necessary accumulation exclusion on the HEMS data collected from each individual home 50. Yes (see FIG. 6).

  Further, since the data collection system 10 includes the exclusion target extraction rule storage unit 44 (see FIG. 4) and the accumulation exclusion condition automatic registration unit 23, the HEMS data stored in the accumulation data storage unit 41 (see FIG. 2). Whether or not it falls under the exclusion target extraction rule can be monitored, and if so, a storage exclusion condition can be automatically created and registered in the storage exclusion condition storage means 43 (see FIG. 3).

  Therefore, for example, when a malfunction occurs by registering an exclusion target extraction rule for determining a malfunction occurrence state for a device 52 that is prone to malfunction such as incomplete installation or setting or malfunction. Since it is possible to automatically catch the malfunction and automatically create a storage exclusion condition for the device 52 and automatically register it in the storage exclusion condition storage means 43 (see FIG. 3), Therefore, it is possible to register the storage exclusion condition at an appropriate timing without providing information from a user, and thus to eliminate the storage exclusion of data including an inappropriate value.

  In addition, the storage exclusion condition storage unit 43 (see FIG. 3) is not limited to the storage exclusion condition that is automatically created by the establishment of the exclusion target extraction rule as described above, but an inappropriate value based on the provision of information from the user. Accumulation exclusion conditions for various circumstances can be registered, including accumulation exclusion conditions for accumulation exclusion of data to be included. For this reason, accumulation exclusion due to various circumstances can be realized within a necessary range and at an appropriate time and timing.

  The storage exclusion condition automatic registration means 23 is configured to notify the user when the storage exclusion condition is automatically created and registered, so that the service level for the user can be improved. it can.

  Further, since the data collection system 10 includes the exclusion cancellation rule storage unit 45 (see FIG. 5) and the exclusion cancellation unit 25, the data collection system 10 is temporarily excluded from being stored because the storage exclusion condition is met, and the excluded data storage unit 42 Since the HEMS data stored in (refer to FIG. 2) can be subjected to a monitoring process (a process for determining the success or failure of the exclusion cancellation rule) for confirming the data content, the output state from the device 52 subsequently changes. When it becomes a state where it is not necessary to exclude accumulation, it is possible to grasp the state and cancel the accumulation exclusion condition.

  In addition, since the exclusion cancellation rule storage unit 45 (see FIG. 5) and the exclusion cancellation unit 25 are provided, when the storage exclusion does not have to be performed as described above, the exclusion cancellation rule is satisfied. The storage exclusion condition is released, but since this is an automatic release, it is not necessary to manually delete or invalidate the registered storage exclusion condition, which can reduce the work of the system operator. In addition, since unnecessary accumulation exclusion can be automatically avoided, the progress of proper accumulation of HEMS data can be resumed early.

  Since the data collection system 10 includes the exclusion cancellation rule automatic registration unit 24, automatic creation and automatic registration of the exclusion cancellation rule is performed together with the automatic registration of the storage exclusion condition by the storage exclusion condition automatic registration unit 23. In this respect as well, it is possible to reduce the time and effort of the system operation staff and to promptly resume the progress of accumulation of appropriate HEMS data.

  In addition, since the data collection system 10 includes the accumulation exclusion condition input reception unit 26 and the exclusion release rule input reception unit 27, additional registration of the accumulation exclusion condition to the accumulation exclusion condition storage unit 43 (see FIG. 3), It is possible to easily register additional exclusion cancellation rules in the exclusion cancellation rule storage unit 45 (see FIG. 5).

  Furthermore, the data collection system 10 includes the exclusion cancellation rule input receiving means 27 and is configured to receive the input of the exclusion cancellation rule in addition to the reception of the input of the storage exclusion condition. When it is in good condition, it is possible to automatically cancel accumulation exclusion by establishing the exclusion cancellation rule, and automatically avoid unnecessary accumulation exclusion, so that the progress of accumulation of appropriate HEMS data can be accelerated You can resume.

  Further, the storage exclusion condition input receiving unit 26 excludes the device 52 when the reception of the storage exclusion condition for the same device 52 provided in a different individual home 50 reaches the number of times for monitoring shift. Since the target extraction rule is registered (see FIG. 8), it is determined that the device 52 is likely to be in a state where the accumulation of HEMS data should be excluded, and is provided in another individual home 50. The given device 52 can be placed under monitoring by the exclusion target extraction rule. That is, accumulation of the storage exclusion condition registrations for the same device 52 means that the device 52 is determined to be a device that is prone to problems such as inadequate installation or setting, or failure. In addition, there is a possibility that the same trouble may occur for the device 52 provided in another individual home 50. Therefore, by registering the exclusion target extraction rule related to the device 52, the The HEMS data of the device 52 can be monitored. If the exclusion target extraction rule registered in this way is established, the storage exclusion condition automatic registration means 23 automatically creates and registers the storage exclusion condition, so that the device provided in another individual home 50 Accumulation exclusion can also be performed on the 52 HEMS data.

  In addition, when the exclusion cancellation rule is established, the exclusion cancellation unit 25 deletes or invalidates the storage exclusion condition to be canceled, and other storage exclusion conditions whose contents overlap with the cancellation exclusion storage exclusion condition. Is divided automatically according to the priority flag (see FIG. 10), and other accumulation exclusion conditions are also divided into a portion where accumulation exclusion can be canceled and a portion where cancellation cannot be canceled. Can be left in a valid state.

  Further, the storage exclusion condition input receiving means 26 is configured to extract other storage exclusion conditions whose contents are duplicated when receiving the input of the storage exclusion condition and display it on the screen (see FIG. 11). The person in charge of the operation looks at the contents of the other storage exclusion conditions and makes appropriate adjustments for both storage exclusion conditions, such as changing the storage exclusion conditions entered by himself or changing other extracted storage exclusion conditions. Can be achieved. At this time, the person in charge of system operation may make adjustments to avoid duplication of contents, or may register the storage exclusion condition entered by himself while the contents are duplicated.

  The storage exclusion condition input receiving means 26 extracts other storage exclusion conditions whose contents are duplicated when receiving the input of the storage exclusion condition, displays it on the screen including the reason for storage exclusion, and inputs an instruction. Since it is configured to automatically divide other storage exclusion conditions upon receipt and automatically create a storage exclusion condition that does not duplicate the contents (see FIG. 11), the system operator in charge of the storage exclusion conditions for the other storage exclusion conditions Judgment can be made while referring to the reason as appropriate, and the storage exclusion condition where the contents are not duplicated can be easily registered.

  In addition, since the data collection system 10 includes the cooperation unit 29 and the user input reception unit 30, it is possible to cooperate with a service that accompanies charging (see FIG. 12). By controlling the HEMS data stored in the accumulated data storage means 41 (see FIG. 2), it is possible to easily realize the billing process according to the service usage contents designated by the user.

  And since the HEMS data preserve | saved at the accumulation | storage data storage means 41 and the exclusion data storage means 42 are arranged in the apparatus unit (refer FIG. 2), when these open data conversion is implemented, a service provider It is possible to easily acquire only the HEMS data of the device 52 that requires For this reason, it is possible to achieve cooperation with various services, not limited to services that involve charging as described above.

  <Deformation form>

  Note that the present invention is not limited to the above-described embodiment, and modifications and the like within a scope where the object of the present invention can be achieved are included in the present invention.

  For example, in the data collection system 10 of the above embodiment, the energy management data to be accumulated or excluded is HEMS data. However, the energy management data in the present invention is not limited to this. For example, BEMS data, FEMS data, CEMS data, etc. may be sufficient.

  As described above, the data collection system and program of the present invention collect and manage energy management data indicating power or other energy utilization information such as HEMS data, BEMS data, FEMS data, CEMS data, and the like. It is suitable for use in cases where the collected energy management data is used in various services.

DESCRIPTION OF SYMBOLS 1 Network 10 Data collection system 21 Data receiving means 22 Accumulation exclusion condition success / failure judgment means 23 Accumulation exclusion condition automatic registration means 24 Exclusion cancellation rule automatic registration means 25 Exclusion cancellation means 26 Accumulation exclusion condition input reception means 27 Exclusion cancellation rule input acceptance means 28 Exclusion target extraction rule registration means 29 Cooperation means 30 User input reception means 41 Accumulated data storage means 42 Exclusion data storage means 43 Accumulation exclusion condition storage means 44 Exclusion target extraction rule storage means 45 Exclusion release rule storage means 46 User information storage means 50, 50A, 50B, 50C Private home 51, 51A, 51B, 51C Gateway server 52 Equipment 53, 53A, 53B, 53C User terminal 60 System operation person in charge terminal 70 Cooperation system A, B, C User

Claims (9)

A data collection system comprising a computer for collecting data for energy management in a private house, building, factory, or other area,
Data receiving means for receiving energy management data output from each device communicating with a gateway server provided in each area and transmitted via the gateway server via the network;
A storage exclusion condition storage means for storing a storage exclusion condition including gateway server identification information and / or device identification information for storing and excluding energy management data received by the data receiving means in units of areas and / or devices;
It is determined whether or not the storage exclusion condition stored in the storage exclusion condition storage unit is satisfied for the energy management data received by the data reception unit, and if satisfied, the received energy management data is stored as an exclusion data Storage exclusion condition success / failure determination means for executing processing for storing the received energy management data in the storage data storage means if not stored,
Exclusion target extraction rule storage means for storing an exclusion target extraction rule for extracting a storage exclusion target device to be registered as the storage exclusion condition in association with device identification information for identifying the device;
It is determined whether the energy management data stored in the accumulated data storage means corresponds to the exclusion target extraction rule stored in the exclusion target extraction rule storage means. Using the gateway server identification information and device identification information included in the management data, the storage exclusion condition specifying the area to be excluded from storage and the device in the area is automatically created, and the automatically created storage exclusion condition is A data collection system comprising: storage exclusion condition automatic registration means for executing processing to be stored in the storage exclusion condition storage means. An exclusion cancellation rule storage unit for storing an exclusion cancellation rule for canceling the storage exclusion due to the storage exclusion condition in association with the storage exclusion condition identification information for identifying the storage exclusion condition to be canceled;
It is determined whether or not the energy management data stored in the exclusion data storage means corresponds to the exclusion cancellation rule stored in the exclusion cancellation rule storage means. An exclusion removal means for executing a process of deleting or invalidating the exclusion condition,
Along with automatic registration of the storage exclusion condition by the storage exclusion condition automatic registration means, the exclusion cancellation rule is automatically created by inverting the exclusion target extraction rule that was applicable when the storage exclusion condition related to automatic registration is created. Auto-exclusion cancellation rule registration means for executing a process of storing the automatically created exclusion cancellation rule in association with storage exclusion condition identification information for identifying the storage exclusion condition related to automatic registration and storing the exclusion cancellation rule in the exclusion cancellation rule storage means; The data collection system according to claim 1, further comprising: An accumulation exclusion condition for receiving an input for designating an area to be excluded from accumulation and / or a device, creating the accumulation exclusion condition, and storing the created accumulation exclusion condition in the accumulation exclusion condition storage unit Input receiving means;
In addition to accepting the input of the storage exclusion condition by the accumulation exclusion condition input accepting unit, the input of the exclusion cancellation rule for canceling the accepted storage exclusion condition is also accepted, 3. An exclusion cancellation rule input receiving unit that executes a process of storing in the exclusion cancellation rule storage unit in association with storage exclusion condition identification information for identifying the storage exclusion condition of claim 3. Data collection system. The accumulation exclusion condition input acceptance means includes:
The acceptance of the input of the storage exclusion condition for the same device provided in different areas is also configured to execute a process of determining whether or not a predetermined number of times for monitoring transition has been reached,
When it is determined by the storage exclusion condition input reception means that the reception of the storage exclusion condition input for the device has reached the number of times for the monitoring shift, the storage exclusion condition input reception unit corresponds to the storage exclusion condition for the device. The exclusion target extraction rule is automatically created by inverting the exclusion cancellation rule stored in the exclusion cancellation rule storage means, or the input of the exclusion target extraction rule is accepted, the automatic creation or the input is accepted 4. The exclusion target extraction rule registration unit that executes processing for storing an exclusion target extraction rule in association with device identification information for identifying the device and storing the exclusion target extraction rule in the exclusion target extraction rule storage unit. Data collection system. The accumulation exclusion condition stored in the accumulation exclusion condition storage means includes
Exclusion end date and time indicating the expiration date of the storage exclusion condition, and priority indicating whether or not to prioritize the exclusion cancellation by establishment of the exclusion cancellation rule stored in the exclusion cancellation rule storage means over the arrival of the exclusion end date and time Flag included,
The exclusion release means includes
When the energy management data stored in the exclusion data storage means corresponds to the exclusion cancellation rule, together with the process of deleting or invalidating the accumulation exclusion condition to be canceled, When the priority flag for other accumulation exclusion conditions with overlapping contents indicates that priority is given to exclusion cancellation due to establishment of the exclusion cancellation rule, the other accumulation exclusion conditions are automatically divided into a plurality of devices. The data collection according to any one of claims 2 to 4, wherein the processing is performed to leave only the storage exclusion condition for devices other than the device related to the exclusion cancellation. system. The accumulation exclusion condition input acceptance means includes:
The storage exclusion condition storage unit extracts another storage exclusion condition whose content overlaps with the storage exclusion condition that has received the input, and executes a duplicate condition display process for displaying the extracted other storage exclusion condition on the screen. Alternatively, in addition to the duplication condition display process, when the exclusion cancellation rule corresponding to the extracted other accumulation exclusion condition is stored in the exclusion cancellation rule storage unit, the corresponding exclusion cancellation rule is also The data collection system according to claim 3 or 4, wherein an exclusion cancellation rule display process for displaying the screen together is executed. The accumulation exclusion condition stored in the accumulation exclusion condition storage means includes
The exclusion start date and time and the exclusion end date and time indicating the beginning and end of the effective period of the accumulation exclusion condition, and the accumulation exclusion reason are included,
The accumulation exclusion condition input acceptance means includes:
The other storage exclusion conditions whose contents overlap with those of the storage exclusion conditions received are extracted from the storage exclusion condition storage means, and the extracted other storage exclusion conditions are included in the state including the accumulation exclusion reason. Storage exclusion that does not overlap the contents by displaying the screen and accepting the input of instructions by the system operator and automatically dividing the other storage exclusion conditions into areas, units, or periods in accordance with the instructions The process according to any one of claims 3, 4 and 6, wherein a condition is automatically created and a process of storing the automatically created accumulation exclusion condition in the accumulation exclusion condition storage means is executed. Data collection system. Processing for transmitting energy management data stored in the accumulated data storage means to an external linkage system via a network as charging data for charging a user in the area for use of the service Linkage means to perform,
The storage exclusion condition stored in the storage exclusion condition storage means in a state in which no valid period is specified is received from the user terminal via the network for specifying the service use period by the user. User input receiving means for executing a process of automatically leaving only the storage exclusion condition for a period other than the service use period specified by the user by being automatically divided into a plurality of periods by a period unit. The data collection system according to any one of claims 3, 4, 6, and 7.   The program for functioning a computer as a data collection system in any one of Claims 1-8.

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