JP2018055166A - Measuring system - Google Patents

Abstract

An object of the present invention is to reduce the load on a server when complementing missing measurement data. When the measurement data and the time stamp are acquired from the HGW 20, the server 30 stores the measurement data and the time stamp in the measurement data storage unit, and the time of the latest measurement data stored in the own device. A notification unit that notifies the HGW 20 of the stamp is provided. The HGW 20 determines whether there is measurement data that has not been transmitted to the server 30 based on the time stamp of the latest measurement data transmitted from the server 30, and if there is measurement data that has not been transmitted, A request unit that requests the smart meter 10 as missing measurement data, and a transfer unit that transfers the measurement data and time stamp received from the smart meter 10 to the server 30 are provided. [Selection] Figure 1

Description

  Embodiments described herein relate generally to a measurement system.

  In recent years, energy management systems for controlling electrical appliances and the like are becoming widespread. As a kind of such energy management system, a system called HEMS (Home Energy Management System) is known. In such a HEMS, the smart meter periodically measures the integrated power amount, and transmits data of the measured integrated power amount together with a time stamp to the server via the gateway device.

  Further, if data transmission is not performed for some reason such as a power failure, the server data is lost. In such a case, the server complements the data by identifying the missing data and notifying the smart meter of a missing data request via a gateway device such as a HGW (Home Gate Way).

“TOSHIBA HEMS (Home Energy Management System)”, [online], [searched on September 20, 2016], Internet <http://feminity.toshiba.co.jp/feminity/index_j.html>

  By the way, when the measurement data is missing, the server specifies the missing measurement data, and thus there is a problem that the server is loaded when complementing the missing measurement data.

  The measurement system of the embodiment includes a meter that acquires measurement data every predetermined time, a server that stores the measurement data together with a time stamp, and a gateway device that transmits the measurement data to the server. When the meter receives the measurement data every predetermined time, receives the measurement data request from the gateway device, and an acquisition unit that attaches a time stamp to the acquired measurement data and transmits to the gateway device, A transmitter that acquires the requested measurement data, adds a time stamp to the acquired measurement data, and transmits the measurement data to the gateway device. When the server acquires the measurement data and the time stamp from the gateway device, the server stores the measurement data and the time stamp in a storage unit, and a time stamp of the latest measurement data stored in the own device. Is notified to the gateway device. The gateway device determines whether there is measurement data that has not been transmitted to the server based on the time stamp of the latest measurement data transmitted from the server, and if there is measurement data that has not been transmitted, A request unit that requests the meter as measurement data with missing measurement data, and a transfer unit that transfers the measurement data and the time stamp received from the meter to the server.

  According to the measurement system according to the embodiment, it is possible to reduce the load on the server when complementing the missing measurement data.

FIG. 1 is a diagram illustrating an example of a system configuration of a measurement system according to the first embodiment. FIG. 2 is a diagram illustrating an example of the configuration of the smart meter according to the first embodiment. FIG. 3 is a diagram illustrating an example of data stored in the measurement data storage unit. FIG. 4 is a diagram illustrating an example of the configuration of the HGW according to the first embodiment. FIG. 5 is a diagram illustrating an example of the configuration of the server according to the first embodiment. FIG. 6 is a sequence diagram illustrating an example of an operation in the measurement system according to the first embodiment. FIG. 7 is a diagram illustrating an example of a configuration of a server according to the second embodiment. FIG. 8 is a diagram for explaining processing for instructing measurement data to be preferentially complemented by the server according to the second embodiment. FIG. 9 is a diagram for explaining processing for instructing measurement data to be preferentially complemented by the server according to the second embodiment. FIG. 10 is a diagram for explaining processing for instructing measurement data to be preferentially complemented by the server according to the second embodiment. FIG. 11 is a sequence diagram illustrating an example of an operation in the measurement system according to the second embodiment. FIG. 12 is a diagram illustrating a process of determining measurement data to be complemented by the HGW according to the amount of change according to the third embodiment. FIG. 13 is a sequence diagram illustrating an example of an operation in the measurement system according to the third embodiment.

  The measurement system according to the embodiment described below includes a smart meter 10 that acquires measurement data every predetermined time, a server 30 that stores measurement data together with a time stamp, and an HGW 20 that transmits the measurement data to the server 30. . The smart meter 10 acquires measurement data every predetermined time, attaches a time stamp to the acquired measurement data, and transmits it to the HGW 20. When receiving a request for measurement data from the HGW 20, the smart meter 10 A transmitter 12b that acquires the acquired measurement data, attaches a time stamp to the acquired measurement data, and transmits the measurement data to the HGW 20. When the measurement data and time stamp are acquired from the HGW 20, the server 30 stores the measurement data and time stamp in the measurement data storage unit 33a, and the time stamp of the latest measurement data stored in its own device. Is notified to the HGW 20. The HGW 20 determines whether there is measurement data that has not been transmitted to the server 30 based on the time stamp of the latest measurement data transmitted from the server 30, and if there is measurement data that has not been transmitted, the measurement data Is provided with a request unit 22a that requests the smart meter 10 as measurement data that is missing, and a transfer unit 22b that transfers the measurement data and time stamp received from the smart meter 10 to the server 30.

  In the measurement system according to the embodiment described below, the server 30A determines measurement data to be preferentially complemented from the missing measurement data, and instructs the HGW 20 to preferentially supplement the measurement data to be supplemented. If there is measurement data that has not been transmitted to the server 30A, the request unit 22a preferentially requests the smart meter 10 for measurement data that is preferentially complemented instructed by the server 30A.

  Further, in the measurement system according to the embodiment described below, the instruction unit 32c instructs the HGW 20 to preferentially supplement the measurement data period.

  In the measurement system according to the embodiment described below, the instruction unit 32c instructs the HGW 20 about the time of measurement data to be preferentially complemented.

  In the measurement system according to the embodiment described below, the instruction unit 32c instructs the HGW 20 to set a predetermined time period of measurement data to be preferentially complemented.

  In the measurement system according to the embodiment described below, the transfer unit 22b transfers measurement data having a change amount larger than a predetermined threshold among the missing measurement data to the server 30.

  Hereinafter, a measurement system according to an embodiment will be described with reference to the drawings. In the embodiment, the same parts are denoted by the same reference numerals, and redundant description is omitted.

(First embodiment)
First, the measurement system according to the first embodiment will be described with reference to FIGS.

[Measurement system configuration]
First, an example of a system configuration of a measurement system according to an embodiment of the present invention will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a system configuration of a measurement system according to the first embodiment. In the example of FIG. 1, the measurement system includes a plurality of smart meters 10, a plurality of HGWs 20, and a server 30.

  The smart meter 10 acquires measurement data every predetermined time. For example, the smart meter 10 is a meter that measures electric power supplied from an electric power system, and measures an integrated electric energy consumed by an electric device such as a home appliance installed in a house. It is not limited to the smart meter 10 and may be a photovoltaic power generation device or a storage battery having a measurement function, and measures the accumulated power generation amount of photovoltaic power generation or the accumulated discharge energy amount of the storage battery. Also good. For example, the smart meter 10 can measure the integrated power amount every 30 minutes and store the measurement data for a maximum of 100 days.

  The HGW 20 transmits measurement data to the server 30. The HGW 20 is a gateway device that relays various communications between the smart meter 10 and the server 30. The HGW 20 receives the time stamp together with the measurement data from the smart meter 10, and transmits the measurement data and the time stamp to the server 30. It is assumed that the HGW 20 can acquire measurement data by tracing the date back from the smart meter 10 when necessary.

  The server 30 stores the measurement data together with a time stamp. For example, the server 30 receives measurement data from a plurality of smart meters 10 and stores the received measurement data, thereby monitoring the power usage status for each home or allowing the user to view the measurement data. To do. It is assumed that the server 30 stores family configuration information indicating the family configuration of each household and contract information indicating contract details regarding the use of power.

  In the measurement system, measurement data can be sent to the server 30 every 30 minutes because, for example, a power failure has occurred, the HGW 20 is turned off, the network is faulty, and the HGW 20 cannot communicate with the server 30. If not, the data for that time zone will be missing.

  For example, the server 30 periodically notifies the HGW 20 of the latest measurement data time stamp stored in its own device as supplementary information. Then, the HGW 20 determines whether there is missing measurement data from the time stamp of the latest measurement data transmitted from the server. If there is missing measurement data, the HGW 20 requests the missing measurement data from the smart meter 10. And the measurement data is transmitted to the server 30.

[Smart meter configuration]
The configuration of the smart meter 10 will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of the configuration of the smart meter according to the first embodiment. The smart meter 10 includes a communication unit 11, a control unit 12, and a storage unit 13.

  The communication unit 11 is a network device for performing wireless communication processing and wired communication processing. Specifically, the communication unit 11 transmits and receives various types of information to and from the HGW 20 illustrated in FIG.

  For example, the communication unit 11 transmits measurement data and a time stamp to the HGW 20. Further, the communication unit 11 receives a request for measurement data from the HGW 20.

  The storage unit 13 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 13 includes a measurement data storage unit 13a.

  The measurement data storage unit 13a stores a time stamp indicating the date and time of measurement and measurement data in association with each other. For example, as illustrated in FIG. 3, the measurement data storage unit 13 a stores “time stamp” and “integrated electric energy” that is measurement data in association with each other. FIG. 3 is a diagram illustrating an example of data stored in the measurement data storage unit. In the example of FIG. 3, the measurement data storage unit 13a stores a value of the integrated power amount every 30 minutes.

  The control unit 12 includes an acquisition unit 12a and a transmission unit 12b. The control unit 12 is, for example, an electronic circuit such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit), an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array), and the smart meter 10. Execute overall control.

  The acquisition unit 12a acquires measurement data at predetermined time intervals, adds a time stamp to the acquired measurement data, and transmits the measurement data to the HGW 20. For example, the acquisition unit 12a acquires the accumulated power amount as measurement data every 30 minutes, attaches a time stamp to the acquired measurement data, and transmits the measurement data to the HGW 20. In addition, the acquisition unit 12a stores the acquired integrated power amount and the time stamp in the measurement data storage unit 13a in association with each other.

  When receiving the measurement data request from the HGW 20, the transmission unit 12 b acquires the requested measurement data, adds a time stamp to the acquired measurement data, and transmits the measurement data to the HGW 20. For example, when there is measurement data that is lost due to a power failure or the like, the transmission unit 12b receives a request for measurement data from the HGW 20, and transmits the measurement data corresponding to the requested time zone of the measurement data to the measurement data storage unit 13a. Are transmitted to the HGW 20.

[Configuration of HGW]
The configuration of the HGW 20 will be described with reference to FIG. FIG. 4 is a diagram illustrating an example of the configuration of the HGW according to the first embodiment. The HGW 20 includes a communication unit 21, a control unit 22, and a storage unit 23.

  The communication unit 21 is a network device for performing wireless communication processing and wired communication processing. Specifically, the communication unit 21 transmits and receives various types of information via wireless communication between the smart meter 10 and the server 30 illustrated in FIG.

  For example, the communication unit 21 receives measurement data and a time stamp from the smart meter 10 and transmits the measurement data and time stamp to the server 30. In addition, the communication unit 21 transmits a request for measurement data to the smart meter 10.

  The storage unit 23 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 23 includes a latest time stamp storage unit 23a.

  The latest time stamp storage unit 23 a stores the latest time stamp among the time stamps of the measurement data received by the HGW 20 from the smart meter 10.

  The control unit 22 includes a request unit 22a and a transfer unit 22b. The control unit 22 is, for example, an electronic circuit such as a CPU or MPU, or an integrated circuit such as an ASIC or FPGA, and executes overall control of the HGW 20.

  The request unit 22a determines whether there is measurement data that has not been transmitted to the server 30 based on the time stamp of the latest measurement data transmitted from the server 30, and when there is measurement data that has not been transmitted, The measurement data is requested to the smart meter 10 as missing measurement data.

  For example, when the request unit 22a receives the time stamp of the latest measurement data transmitted from the server 30, the request unit 22a compares the time stamp of the latest measurement data with the time stamp stored in the latest time stamp storage unit 23a. If they are different, it is determined that there is measurement data that has not been transmitted to the server 30. Note that the process of determining measurement data that has not been transmitted to the server 30 is not limited to the above example. For example, the time stamp of the latest measurement data transmitted from the server 30 is compared with the current time. Thus, it may be determined whether there is measurement data that has not been transmitted to the server 30.

  When the request unit 22a determines that there is measurement data that has not been transmitted to the server 30, the request unit 22a requests the smart meter 10 for measurement data in the missing time zone. For example, the request unit 22a requests the smart meter 10 for measurement data from September 1, 2016 to the present.

  The transfer unit 22 b transfers the measurement data and time stamp received from the smart meter 10 to the server 30. For example, when receiving the measurement data and the time stamp from the smart meter 10, the transfer unit 22 b transfers the measurement data and the time stamp to the server 30.

[Server configuration]
The configuration of the server 30 will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of the configuration of the server according to the first embodiment. The server 30 includes a communication unit 31, a control unit 32, and a storage unit 33.

  The communication unit 31 is a network device for performing wireless communication processing and wired communication processing. Specifically, the communication unit 31 transmits and receives various types of information by wireless communication with the HGW 20 illustrated in FIG.

  For example, the communication unit 31 receives measurement data and a time stamp from the HGW 20 and transmits a time stamp of the latest measurement data stored in the server 30 to the HGW 20.

  The storage unit 33 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 33 includes a measurement data storage unit 33a.

  The measurement data storage unit 33a stores the measurement data received from the HGW 20 and a time stamp, and stores the time stamp indicating the date and time of measurement and the measurement data in association with each other as in the measurement data storage unit 13a. To do.

  The control unit 32 includes a storage unit 32a and a notification unit 32b. The control unit 32 is, for example, an electronic circuit such as a CPU or MPU, or an integrated circuit such as an ASIC or FPGA, and executes overall control of the server 30.

  When the measurement data and the time stamp are acquired from the HGW 20, the storage unit 32a stores the measurement data and the time stamp in the measurement data storage unit 33a. For example, the storage unit 32a acquires measurement data and a time stamp from the HGW 20 every 30 minutes, and stores the acquired measurement data and time stamp in the measurement data storage unit 33a. The storage unit 32a also stores measurement data and a time stamp in the measurement data storage unit 33a even when missing measurement data is received from the HGW 20.

  The notification unit 32b notifies the HGW 20 of the time stamp of the latest measurement data stored in its own device. For example, the notification unit 32b refers to the measurement data storage unit 33a every predetermined time, reads the time stamp of the latest measurement data, and notifies the HGW 20 of the time stamp as a complementary instruction.

[Measurement system processing procedure]
Next, an operation example in the measurement system will be described with reference to FIG. FIG. 6 is a sequence diagram illustrating an example of an operation in the measurement system according to the first embodiment. As illustrated in FIG. 6, the smart meter 10 acquires an integrated power amount (integrated value) as measurement data every 30 minutes, and notifies the status change of the acquired latest measurement data with a time stamp. A status change notification is transmitted to the HGW 20 (step S101).

  Then, the HGW 20 transfers the latest integrated value received from the smart meter 10 to the server 30 (step S102). Further, the server 30 refers to the measurement data storage unit 33a, reads the time stamp of the latest measurement data, and notifies the HGW 20 of the time stamp as a complementary instruction (step S103).

  The HGW 20 determines whether there is measurement data that has not been transmitted to the server 30 based on the time stamp of the latest measurement data transmitted from the server 30, and if there is measurement data that has not been transmitted, the measurement data Is requested to the smart meter 10 (step S104).

  When the HGW 20 receives the accumulated power amount history from the smart meter 10 (step S105), the HGW 20 transfers the accumulated power amount history from the smart meter 10 to the server 30 (step S106). When the server 30 receives the accumulated power amount history from the HGW 20 and completes the missing measurement data, the server 30 notifies the HGW 20 of the completion of the completion (step S107).

[Effect of the first embodiment]
As described above, in the measurement system according to the first embodiment, the smart meter 10 that acquires measurement data every predetermined time, the server 30 that stores the measurement data together with the time stamp, and the HGW 20 that transmits the measurement data to the server 30. And have. The smart meter 10 acquires measurement data every predetermined time, attaches a time stamp to the acquired measurement data, and transmits it to the HGW 20. When receiving a request for measurement data from the HGW 20, the smart meter 10 A transmitter 12b that acquires the acquired measurement data, attaches a time stamp to the acquired measurement data, and transmits the measurement data to the HGW 20. When the measurement data and time stamp are acquired from the HGW 20, the server 30 stores the measurement data and time stamp in the measurement data storage unit 33a, and the time stamp of the latest measurement data stored in its own device. Is notified to the HGW 20. The HGW 20 determines whether there is measurement data that has not been transmitted to the server 30 based on the time stamp of the latest measurement data transmitted from the server 30, and if there is measurement data that has not been transmitted, the measurement data Is provided with a request unit 22a that requests the smart meter 10 as measurement data that is missing, and a transfer unit 22b that transfers the measurement data and time stamp received from the smart meter 10 to the server 30.

  For this reason, in the measurement system according to the embodiment, it is possible to reduce the load on the server 30 when complementing the missing measurement data. That is, the server 30 can complement the missing measurement data only by notifying the HGW 20 of the time stamp of the latest measurement data stored in its own device without performing the process of identifying the missing data. The load on the server 30 can be reduced.

(Second Embodiment)
In the first embodiment, the HGW 20 determines whether there is measurement data that has not been transmitted to the server 30. If there is missing measurement data, the HGW 20 requests all the missing measurement data from the smart meter 10, and the server The example of transferring to 30 has been described. In the second embodiment, the server 30A determines the measurement data to be preferentially complemented from the missing measurement data, instructs the measurement data to be preferentially complemented to the HGW 20, and the HGW 20 is instructed by the server 30A. An example of preferentially requesting the smart meter 10 for measurement data to be preferentially complemented will be described.

[Server configuration]
FIG. 7 is a diagram illustrating an example of a configuration of a server according to the second embodiment. As illustrated in FIG. 7, the server 30A further includes an instruction unit 32c. The instruction unit 32c determines the measurement data to be preferentially supplemented from the missing measurement data, and instructs the HGW 20 to preferentially supplement the measurement data. For example, the instruction unit 32c may instruct to preferentially supplement measurement data with a new time stamp. Further, as illustrated in FIG. 8, the instruction unit 32 c may instruct to preferentially supplement measurement data with an old time stamp.

  Further, the instruction unit 32c may instruct the HGW 20 about a period of measurement data to be preferentially complemented. In this case, for example, the instruction unit 32c requests measurement data to be preferentially complemented by designating a period “3 days from September 1, 2016”.

  In addition, the instruction unit 32c may instruct the HGW 20 about the time of measurement data to be preferentially complemented. In this case, for example, as illustrated in FIG. 9, the instruction unit 32c preferentially complements the measurement by designating a time such as “0:00 every day from September 1, 2016 to the present day”. Request data.

  When a user browses measurement data stored in a server, for example, displays a graph, the granularity of time is not always fine. For example, data such as daily data, weekly data, and monthly data may be displayed together. At this time, even if the measurement data for every 30 minutes are not all available, the daily data can be viewed as a graph as long as the measurement data for 0:00 every day is in the server 30 as described above. Similarly, if the server has the measurement data for 0:00 every day of the day every week, the data for each month can be browsed if the measurement data for 0:00 on the first day of every month is in the server 30.

  Further, the instruction unit 32c may instruct the HGW 20 of a predetermined time period of measurement data to be preferentially complemented. In this case, for example, as illustrated in FIG. 10, the instruction unit 32c reads, “From 00:00 on September 1, 2016, every day from 6:00 to 9:00, and from 18:00 to 24:00, 30 minutes. The measurement data is requested by specifying the time to be finely complemented and the time to be coarsely complemented "every other time, every 3 hours".

  When the user browses the measurement data stored on the server, it is likely that the part with a large amount of change is of high interest. In the case of electricity, consumption is large in the morning or after going home to bedtime, and small at midnight or other daytime. The measurement data should be collected finely in the time zone where the change amount of the measurement data seems to be large, but the measurement data in the time zone where the change amount seems to be small may not necessarily be fine, and the priority is low. In addition, since a time zone with a large amount of consumption varies depending on the contract with the home environment and the power company, external information such as family structure information and contract information may be used to give a supplementary instruction suitable for each user.

  In addition, when there is measurement data that has not been transmitted to the server 30, the request unit 22 a of the HGW 20 in the second embodiment preferentially measures the measurement data that is preferentially complemented by the server 30. To request. Note that the request unit 22a may request the measurement data that cannot be complemented after the load on the server 30 has settled.

[Measurement system processing procedure]
Next, an operation example in the measurement system will be described with reference to FIG. FIG. 11 is a sequence diagram illustrating an example of an operation in the measurement system according to the second embodiment. As shown in FIG. 11, the smart meter 10 acquires an integrated power amount (integrated value) as measurement data every 30 minutes, and notifies the status change of the acquired latest measurement data with a time stamp. It transmits to HGW20 as a state change notification (step S201).

  Then, the HGW 20 transfers the latest integrated value received from the smart meter 10 to the server 30A (Step S202). Further, the server 30A determines the measurement data to be preferentially complemented (step S203), instructs the HGW 20 to preferentially supplement the measurement data, and refers to the measurement data storage unit 33a to determine the time of the latest measurement data. The stamp is read, and the time stamp is notified to the HGW 20 as a complementary instruction (step S204). Note that the timing for instructing the HGW 20 to preferentially complement measurement data is not limited to this timing, and may be any timing.

  The HGW 20 determines whether there is measurement data that has not been transmitted to the server 30A based on the time stamp of the latest measurement data transmitted from the server 30A, and if there is measurement data that has not been transmitted, the server 30A The instructed measurement data to be preferentially complemented is preferentially requested from the smart meter 10 (step S205).

  When the HGW 20 receives the accumulated power amount history from the smart meter 10 (step S206), the HGW 20 transfers the accumulated power amount history from the smart meter 10 to the server 30A (step S207). The server 30A receives the accumulated power amount history from the HGW 20, and when the missing measurement data is completed, the server 30A notifies the HGW 20 of the completion of the completion (step S208).

[Effects of Second Embodiment]
As described above, in the measurement system according to the second embodiment, the server 30A determines the measurement data to be preferentially complemented from the missing measurement data, and instructs the HGW 20 to preferentially complement the measurement data. When there is measurement data that has not been transmitted to the server 30A, the request unit 22a preferentially requests the smart meter 10 for measurement data that is preferentially complemented instructed by the server 30A. . For this reason, it is possible to reduce the amount of measurement data sent by one complement and reduce the server load.

  That is, in the measurement system according to the second embodiment, when recovering from a large-scale failure such as a power failure, a large amount of data is sent from the HGW 20 of each household to the server 30A, and the load on the server 30A is increased. In order to avoid the increase, the server load is reduced by reducing the measurement data and time stamp information sent.

  In the measurement system according to the second embodiment, the instruction unit 32c instructs the HGW 20 about the period of measurement data to be preferentially complemented. For this reason, measurement data can be preferentially complemented only for a specific period, and the server load can be reduced.

  In the measurement system according to the second embodiment, the instruction unit 32c instructs the HGW 20 about the time of measurement data to be preferentially complemented. For this reason, measurement data can be supplemented preferentially only for a specific time, and the server load can be reduced.

  Further, in the measurement system according to the second embodiment, the instruction unit 32c instructs the HGW 20 about a predetermined time period of measurement data to be preferentially complemented. For this reason, measurement data can be preferentially complemented only in a specific time zone, and the server load can be reduced.

(Third embodiment)
In the first embodiment, when there is missing measurement data, the HGW 20 requests all the missing measurement data from the smart meter 10 and transfers the measurement data received from the smart meter 10 to the server 30 as it is. Explained. In the third embodiment, the HGW 20 transfers only measurement data having a change amount larger than a predetermined threshold among the missing measurement data to the server 30.

  In the third embodiment, the transfer unit 22b of the HGW 20 transfers measurement data having a change amount larger than a predetermined threshold among the missing measurement data to the server 30. For example, as illustrated in FIG. 12, when receiving the missing measurement data from the smart meter 10, the transfer unit 22 b of the HGW 20 extracts a part of the measurement data where the change amount exceeds a predetermined threshold value. Then, only the extracted part is transferred to the server 30. As a result, the server 30 can preferentially complement only a portion with a large amount of change.

  For example, when the transfer unit 22b receives measurement data from 0:00 on September 1, 2016 to the present from the smart meter 10, the difference from the measurement data 30 minutes before is 0. If it exceeds 2 kWh, it is sent to the server 30.

  In addition, as a process of extracting a part of measurement data with a large amount of change, the transfer unit 22b extracts, for example, only the top 10% with a large amount of change from the measurement data for 48 frames per day every 30 minutes. It may be. To explain with a specific example, when the transfer unit 22b receives 48 pieces of measurement data from 0:00 to 23:30 on September 1, it extracts and sorts the difference from the measurement data of the previous time. To do. Then, as a result of the sorting, the transfer unit 22b takes out the top five items with the largest amount of change, and sends a total of ten data before and after that to the server 30. The same processing is performed for measurement data after September 2nd.

[Measurement system processing procedure]
Next, an operation example in the measurement system will be described with reference to FIG. FIG. 13 is a sequence diagram illustrating an example of an operation in the measurement system according to the third embodiment. As shown in FIG. 13, the smart meter 10 acquires an integrated power amount (integrated value) as measurement data every 30 minutes, and notifies the change in state of data obtained by attaching a time stamp to the latest acquired measurement data. A status change notification is transmitted to the HGW 20 (step S301).

  Then, the HGW 20 transfers the latest integrated value received from the smart meter 10 to the server 30 (step S302). Further, the server 30 refers to the measurement data storage unit 33a, reads the time stamp of the latest measurement data, and notifies the HGW 20 of the time stamp as a complementary instruction (step S303).

  The HGW 20 determines whether there is measurement data that has not been transmitted to the server 30 based on the time stamp of the latest measurement data transmitted from the server 30, and if there is measurement data that has not been transmitted, the measurement data Is requested to the smart meter 10 (step S304).

  Then, when the HGW 20 receives the history of the integrated power amount from the smart meter 10 (step S305), the HGW 20 extracts a portion with a large change amount from the measurement data, and the history of the integrated power amount is extracted only at the extracted large portion of the change amount. Is transferred to the server 30 (step S306). When the server 30 receives the accumulated power amount history from the HGW 20 and completes the missing measurement data, the server 30 notifies the HGW 20 of the completion of the completion (step S307).

[Effect of the third embodiment]
As described above, in the measurement system according to the third embodiment, the transfer unit 22b of the HGW 20 transfers, to the server 30, measurement data having a change amount larger than the predetermined threshold among the missing measurement data. For this reason, the server 30 can preferentially complement only a portion with a large change amount.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above-described embodiment. In addition, it is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

10 Smart meter 11, 21, 31 Communication unit 12, 22, 32 Control unit 12a Acquisition unit 12b Transmission unit 13, 23, 33 Storage unit 13a, 33a Measurement data storage unit 20 HGW
22a request unit 22b transfer unit 23a latest time stamp storage unit 30 server 32a storage unit 32b notification unit 32c instruction unit

Claims (6)

A measurement system comprising: a meter that acquires measurement data at predetermined time intervals; a server that stores the measurement data together with a time stamp; and a gateway device that transmits the measurement data to the server,
The meter is
An acquisition unit that acquires the measurement data every predetermined time, attaches a time stamp to the acquired measurement data, and transmits the measurement data to the gateway device;
A transmission unit that, when receiving a request for measurement data from the gateway device, obtains the requested measurement data, attaches a time stamp to the acquired measurement data, and transmits to the gateway device;
The server
A storage unit that stores the measurement data and the time stamp in a storage unit when the measurement data and the time stamp are acquired from the gateway device;
A notification unit for notifying the gateway device of a time stamp of the latest measurement data stored in the own device;
The gateway device is
Based on the time stamp of the latest measurement data transmitted from the server, it is determined whether there is measurement data that has not been transmitted to the server. If there is measurement data that has not been transmitted, the measurement data is lost. A requesting unit that requests the meter as measured data;
A transfer unit that transfers the measurement data and the time stamp received from the meter to the server;
A measurement system comprising: The server further includes an instruction unit that determines measurement data to be preferentially complemented from among the missing measurement data, and instructs the gateway device to preferentially supplement the measurement data.
The request unit, when there is measurement data that has not been transmitted to the server, preferentially requests the meter for measurement data that is preferentially complemented as instructed by the server. The measurement system described in 1.   The measurement system according to claim 2, wherein the instruction unit instructs the gateway device of a period of measurement data to be preferentially complemented.   The measurement system according to claim 2, wherein the instruction unit instructs the gateway device to time the measurement data to be preferentially complemented.   The measurement system according to claim 2, wherein the instruction unit instructs the gateway device of a predetermined time zone of the measurement data to be preferentially complemented.   The measurement system according to claim 1, wherein the transfer unit transfers measurement data having a change amount larger than a predetermined threshold among the missing measurement data to the server.

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