JP2020194287A - Data management device - Google Patents

Abstract

To obtain a data management device capable of shortening a time required for processing for calculating a consignment charge.SOLUTION: A data management device 1 includes: a data acquisition unit 20 for acquiring electric energy data from a storage device 200 for storing the electric energy data collected from a smart meter 101; and a data storage unit 30 for storing the electric energy data acquired by the data acquisition unit 20. The data acquisition unit 20 groups each acquired electric energy data such that the same electric power retailers contracted by users with the smart meter 101 of a collection origin of the electric energy data installed become the same group, and collectively stores the electric energy data of the same group in a fixed range of a storage area constituting the data storage unit 30.SELECTED DRAWING: Figure 1

Description

The present invention relates to a data management device that manages electric energy data periodically collected from a smart meter.

Full liberalization of electricity retailing began in 2016, and low-voltage consumers were included in the calculation of transportation charges. The number of consumers for which the transportation fee is calculated is steadily increasing, and when the legal separation of shipping and electricity is implemented in 2020, all low-voltage consumers will be calculated for the transportation fee. The calculation of the consignment fee requires the data of each consumer's electricity usage (also called 30-minute electricity usage data), but due to the legal separation of electricity transmission, the amount of data of each consumer's electricity usage data is It will be huge. In order to complete the calculation of the transportation fee for each electric power retailer within a predetermined time, it is necessary to have a mechanism that enables the computer that performs the calculation to acquire necessary data from a device such as a server at high speed.

The sensor data management device described in Patent Document 1 divides sensor data transmitted from each of a plurality of sensor terminals into groups based on a registration interval, arrival time, update frequency, etc., and stores each group in a memory. It is stored and managed in the page, which is the unit of reading and writing to the page buffer.

Japanese Unexamined Patent Publication No. 2017-167977

Since the 30-minute electric energy data used in the calculation of the transportation charge is periodically transmitted from the smart meter, there is no difference in the data registration interval, arrival time, update frequency, etc., and the invention described in Patent Document 1 It is difficult to group and manage in the same way as. That is, each page stores 30-minute electric energy data transmitted from each smart meter in chronological order. Therefore, even if the invention described in Patent Document 1 is applied, it is difficult to group and manage the 30-minute electric energy data that is periodically collected and stored in the server or the like so that it can be read at high speed, and the transportation fee is charged. The time required for calculation cannot be shortened. In order to be able to read the 30-minute electric energy data at high speed, it is necessary to reduce the number of pages that store the 30-minute electric energy data of consumers who purchase electricity from the same electric energy retailer. ..

The present invention has been made in view of the above, and an object of the present invention is to obtain a data management device capable of shortening the time required for processing for calculating a transportation fee.

In order to solve the above-mentioned problems and achieve the object, the data management device according to the present invention includes a data acquisition unit that acquires electric energy data from a storage device that stores electric energy data collected from a smart meter, and data. It includes a data storage unit that stores the electric energy data acquired by the acquisition unit. The data acquisition department groups each acquired electric energy data so that the same electric energy retailers contracted by the consumer who installed the smart meter from which the electric energy data is collected are in the same group. , The electric energy data of the same group is collectively stored in a certain range of the storage area constituting the data storage unit.

According to the present invention, it is possible to realize a data management device capable of shortening the time required for the process of calculating the transportation fee.

The figure which shows the configuration example of the consignment charge calculation system configured by applying the data management apparatus which concerns on Embodiment 1. Diagram showing a configuration example of hardware that realizes a data management device The figure which shows the example of arrangement in the storage area of the electric energy data held by the storage device of the consignment charge calculation system shown in FIG. A flowchart showing an example of the operation of the data acquisition unit of the data management device according to the first embodiment. The figure which shows the example of arrangement in the storage area of the electric energy data held by the data storage part of the data management apparatus which concerns on Embodiment 1. The figure which shows the configuration example of the consignment charge calculation system configured by applying the data management apparatus which concerns on Embodiment 2. The figure which shows an example of the calculation unit definition held by the calculation unit definition holding part of the data management apparatus which concerns on Embodiment 2. A flowchart showing an example of the operation of the data acquisition unit of the data management device according to the second embodiment. The figure which shows the example of arrangement in the storage area of the electric energy data held by the data storage part of the data management apparatus which concerns on Embodiment 2. The figure which shows the configuration example of the consignment charge calculation system configured by applying the data management apparatus which concerns on Embodiment 3.

The data management apparatus according to the embodiment of the present invention will be described in detail below with reference to the drawings. The present invention is not limited to this embodiment.

Embodiment 1.
FIG. 1 is a diagram showing a configuration example of a consignment charge calculation system configured by applying the data management device according to the first embodiment. FIG. 1 also displays a data collection system 100 in which the consignment charge calculation system collects data necessary for calculating the consignment charge.

The consignment charge calculation system shown in FIG. 1 calculates a consignment charge in cooperation with a data collection system 100 that collects electric energy data indicating the amount of electric energy used by the consumer from a smart meter 101 installed in the consumer. The electric energy data collected by the data collection system 100 from each smart meter 101 is 30-minute electric energy data indicating the electric energy used for 30 minutes. The 30-minute electric energy data includes, in addition to the electric energy information, a smart meter ID (Identification) indicating the smart meter 101 that outputs the 30-minute electric energy data. In the present embodiment, the electric energy data collected by the data collection system 100 is used as the electric energy data for 30 minutes, which is an example. The electric energy data collected by the data collection system 100 may be any data indicating the electric energy used for a predetermined fixed time, and is not limited to the data indicating the electric energy used for 30 minutes. For example, the electric energy data collected by the data collection system 100 may be data indicating the electric energy used for one hour, data indicating the electric energy used for 15 minutes, or the like.

Further, the consignment fee system shown in FIG. 1 includes a storage device 200 that stores 30-minute electric energy data collected by the data collection system 100 in chronological order, a data management device 1 according to the present embodiment, and a consignment fee. Includes an application server 300 that performs calculations. The storage device 200 is a server device or the like including a database.

The data management device 1 includes a data acquisition unit 20 that acquires electric energy data for 30 minutes from the storage device 200, and a data storage unit 30 that stores the electric energy data for 30 minutes acquired by the data acquisition unit 20. The data acquisition unit 20 includes a rearrangement unit 21 that rearranges the acquired 30-minute electric energy data and stores it in the storage area of the data storage unit 30. The data storage unit 30 stores the electric energy data for 30 minutes in the same manner as the storage device 200 described above, but the arrangement of the electric energy data for 30 minutes in the storage area, that is, the arrangement of the electric energy data for each 30 minutes is the storage device 200. different. The rearrangement unit 21 of the data acquisition unit 20 rearranges each 30-minute electric energy data so that the application server 300 can efficiently read the 30-minute electric energy data required for calculating the consignment charge. It is stored in the storage area of the data storage unit 30. The details of the operation in which the rearrangement unit 21 rearranges the electric energy data for each 30 minutes will be described separately.

Here, the hardware configuration of the data management device 1 according to the present embodiment will be described. FIG. 2 is a diagram showing a configuration example of hardware that realizes the data management device 1.

The data management device 1 is realized by, for example, the hardware shown in FIG. 2, specifically, the processor 91, the memory 92, and the communication interface 93.

The processor 91 is a CPU (Central Processing Unit, Central Processing Unit, Processing Device, Arithmetic Logic Unit, Microprocessor, Microcomputer, DSP (Digital Signal Processor)), System LSI (Large Scale Integration), and the like. The memory 92 includes a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable ROM), an EEPROM (registered trademark) (Electrically Erasable Programmable ROM), and the like. The communication interface 93 is a network interface card or the like.

The data acquisition unit 20 of the data management device 1 is realized by the processor 91 and the memory 92. Specifically, the data acquisition unit 20 is realized by storing a program for operating as the data acquisition unit 20 in the memory 92 and reading and executing the program stored in the memory 92 by the processor 91. To. The data acquisition unit 20 realized by the processor 91 and the memory 92 acquires electric energy data for 30 minutes from the storage device 200 via the communication interface 93.

The data storage unit 30 of the data management device 1 is realized by the memory 92. The data management device 1 may be realized by a computer, and the data storage unit 30 may be realized by a general database constructed by using a DBMS (Database Management System).

Returning to the description of FIG. 1, the application server 300 includes a business function unit 301 for calculating a consignment fee. Here, the transportation fee is determined independently for each electric power retailer who sells electric power to consumers. This means that the method of calculating transportation charges differs for each electric power retailer. Therefore, the business function unit 301 calculates the consignment fee for each electric power retailer contracted by each consumer. The calculated transportation fee is provided to each electric power retailer. In the following description, the electric power retailer will be referred to as a “contractor”.

Subsequently, the operation of the data acquisition unit 20 of the data management device 1, specifically, the electric energy data for 30 minutes is acquired from the storage device 200 and sorted, and the electric energy data for 30 minutes is written to the data storage unit 30. The operation will be described. In the following description, the 30-minute electric energy data may be referred to as electric energy data.

FIG. 3 is a diagram showing an example of arrangement in the storage area of the electric energy data held by the storage device 200 of the consignment charge calculation system shown in FIG. In FIG. 3, one square in which alphabets and numerical values are described indicates one electric energy data. In addition, the alphabet indicates the contractor, and the numerical value indicates the consumer. For example, the electric energy data in which "A10" is described is the electric energy data of the "consumer 10" who purchases the electric power from the "contractor A".

Generally, when an external device accesses a storage device such as a memory to write and read data, it is performed in block units having a fixed size. That is, the range that the external device can access at one time is a block, and the storage device is configured to include a plurality of blocks. The same applies to the storage device 200. In the present embodiment, the area reserved for storing 10 electric energy data is set as one block. That is, one block can store 10 electric energy data. In FIG. 3, ten squares surrounded by thick lines represent one block. For example, the block described at the left end stores 10 electric energy data represented by A10, A57, A51, C6, A59, B22, A48, B8, A27 and A53.

As described above, the electric energy data collected by the data collection system 100 from each smart meter 101 is written in the storage device 200 in chronological order. Therefore, as shown in FIG. 3, each block, which is a unit accessed by an external device, stores electric energy data of consumers with different contractors. In this case, since the electric energy data of the consumer who purchases electricity from the same contractor is distributed and stored in many blocks, the contractor to be calculated is used to calculate the transportation charge of each contractor. It is necessary to access all the blocks in which the electric energy data of the consumer who purchases electric power from is stored, and it takes time to read the data. In this way, when the electric energy data required for the calculation of the transportation charge is distributed and stored in many blocks, the time required for reading the data becomes long and the time required for the calculation of the transportation charge is completed is also long. turn into.

Therefore, the data management device 1 according to the present embodiment reads the electric energy data from the storage device 200, and the application server 300 efficiently reads the electric energy data required for calculating the consignment charge of each contractor. The electric energy data is rearranged and stored in the data storage unit 30 so that it can be output. Here, like the storage device 200, the data storage unit 30 is configured so that when an external device accesses and writes and reads data, the data storage unit 30 is configured to perform in block units with a fixed size. The data management device 1 includes a smart meter ID of each smart meter 101, a consumer ID indicating a consumer who uses each smart meter 101, and a contractor ID indicating a contractor for which each consumer purchases electricity. It is assumed that a correspondence table showing the correspondence of is held.

FIG. 4 is a flowchart showing an example of the operation of the data acquisition unit 20 of the data management device 1 according to the first embodiment. The flowchart of FIG. 4 shows an operation in which the data acquisition unit 20 acquires electric energy data from the storage device 200, sorts the data, and stores the data in the data storage unit 30.

As shown in FIG. 4, the data acquisition unit 20 first acquires electric energy data from the storage device 200 (step S11). Next, the data acquisition unit 20 groups the acquired electric energy data (step S12). The data acquisition unit 20 according to this embodiment groups in step S12 based on the contractor ID. Specifically, the data acquisition unit 20 groups so that the electric energy data of consumers who purchase electric power from the same contractor are in the same group. Next, the data acquisition unit 20 rearranges each electric energy data so that the storage locations of the electric energy data of the same group are physically close to each other, and stores the electric energy data in the data storage unit 30 (step S13). Specifically, the data acquisition unit 20 stores the electric energy data of the same group in a block which is a unit accessed by an external device. Each process of step S12 and step S13 is performed by the rearrangement unit 21 of the data acquisition unit 20.

The data acquisition unit 20 periodically and repeatedly executes the operation shown in the flowchart of FIG. 4, for example, at midnight, at 0 minutes every hour, and so on. The data acquisition unit 20 acquires the electric energy data newly stored in the storage device 200 after the previous operation is executed in step S11.

FIG. 5 is a diagram showing an example of arrangement in the storage area of the electric energy data held by the data storage unit 30 of the data management device 1 according to the first embodiment. In FIG. 5, as in FIG. 3, one quadrangle in which alphabets and numerical values are described indicates one electric energy data. In addition, the alphabet indicates the contractor, and the numerical value indicates the consumer. Further, each block, which is a unit accessed by an external device, is composed of an area reserved for storing 10 electric energy data. FIG. 5 shows an example in which the electric energy data of each group is stored in each block in just proportion, but in reality, there is a storage area in which the electric energy data is not stored. There is also a block to do. It is desirable that the same group of electric energy data is stored in one block.

In the present embodiment, the unit (block) for accessing the data storage unit 30 included in the data management device 1 and the unit for accessing the storage device 200 are the same size, but these sizes may be different.

FIG. 5 shows an arrangement when the data acquisition unit 20 reads out and rearranges each electric energy data held by the storage device 200 in the arrangement as shown in FIG. 3 and stores the data in the data storage unit 30.

In the example shown in FIG. 5, the electric energy data of the consumer who purchases electric power from the contractor A (hereinafter, referred to as “electric energy data of the contractor A”) is arranged in the blocks B1 to B6. Further, the electric energy data of the consumer who purchases the electric power from the contractor B (hereinafter referred to as "the electric energy data of the contractor B") is arranged in the blocks B7 to B9, and the electric power is purchased from the contractor C. The electric energy data of the consumer (hereinafter referred to as "electric energy data of contractor C") is arranged in the block B10. Therefore, when calculating the consignment charge of the contractor A, the application server 300 can read out all the electric energy data of the contractor A by six times of data reading processing, and can shorten the time required for reading the data. Similarly, when the application server 300 calculates the consignment charge of the contractor B, the application server 300 can read all the electric energy data of the contractor B by three times of data reading processing, and calculates the consignment charge of the contractor C. All the electric energy data of the contractor C can be read by one data reading process.

As described above, in the data management device 1 according to the present embodiment, the data acquisition unit 20 stores the 30-minute electric energy data collected from the smart meter 101 of each consumer in a time series from the storage device 200 to 30 minutes. The electric energy data is acquired, and the electric energy data of the consumers who purchase the electric power from the same contractor are grouped so as to be in the same group. Further, the data acquisition unit 20 rearranges the electric energy data for each 30 minutes so that the storage locations of the electric energy data for 30 minutes in the same group are physically close to each other, and stores the data in the data storage unit 30. As a result, the application server 300 can efficiently read the 30-minute electric energy data used for calculating the consignment charge from the data storage unit 30, and shortens the time required for the process of calculating the consignment charge. realizable. The "process of calculating the transportation charge" here also includes a processing of making necessary preparations for calculating the transportation charge, such as a processing of reading the 30-minute electric energy data used for the calculation.

Embodiment 2.
FIG. 6 is a diagram showing a configuration example of a consignment charge calculation system configured by applying the data management device according to the second embodiment. In FIG. 6, the same components as those of the consignment charge calculation system according to the first embodiment shown in FIG. 1 are designated by the same reference numerals. The components other than the data management device 1a are the same as the consignment charge calculation system according to the first embodiment. Therefore, the description of the components other than the data management device 1a will be omitted. Although there are a plurality of application servers 300, each application server 300 is the same as the application server 300 described in the first embodiment. In the consignment charge calculation system according to the first embodiment, one application server 300 calculates the consignment charge, but in the consignment charge calculation system according to the second embodiment, a plurality of application servers 300 calculate the consignment charge. In parallel. That is, in the consignment charge calculation system according to the second embodiment, the consignment charge calculation process is distributed to a plurality of application servers 300. The data management device 1a holds the electric energy data in an arrangement in which a plurality of application servers 300 can calculate the consignment fee in parallel.

The data management device 1a according to the second embodiment includes a data acquisition unit 20a, a data storage unit 30, a calculation unit definition acquisition unit 40, and a calculation unit definition holding unit 50.

The data acquisition unit 20a includes a rearrangement unit 21a. The rearrangement unit 21a rearranges the electric energy data acquired from the storage device 200 in consideration of the calculation unit definition held by the calculation unit definition holding unit 50, and stores the power amount data in the data storage unit 30.

The calculation unit definition holding unit 50 holds, for example, the information of the configuration shown in FIG. 7 as the calculation unit definition. FIG. 7 is a diagram showing an example of the calculation unit definition held by the calculation unit definition holding unit 50 of the data management device 1a according to the second embodiment. The calculation unit is a unit for calculating the consignment charge, and indicates the electric energy data used by one application server 300 when calculating the consignment charge. In the present embodiment, as shown in FIG. 7, the calculation unit definition includes a "calculation unit name", a "contractor ID", and a "consumer ID". The "calculation unit name" is the name of the calculation unit, the "contractor ID" is the contractor's identification information, and the "consumer ID" is the consumer's identification information.

The example calculation unit definition shown in FIG. 7 includes information on a total of four calculation units. In the calculation unit definition shown in FIG. 7, the information registered in the line where the calculation unit name is "calculation unit 001" is the consumer ID who purchases electric power from the contractor whose contractor ID is "contractor 001". Indicates that the electric energy data of each consumer of "consumer 0000001 to consumer 001000" is used as one unit, and the consignment charge is calculated using these electric energy data. Similarly, the information registered in the line where the calculation unit name is "calculation unit 002" is such that the consumer ID who purchases electric power from the contractor whose contractor ID is "contractor 001" is "consumer 001001-". It is shown that the electric energy data of each consumer of "Consumer 002000" is used as one unit, and the consignment charge is calculated using these electric energy data. In addition, the information registered in the line where the calculation unit name is "calculation unit 003" is such that the consumer ID who purchases electric power from the contractor whose contractor ID is "contractor 002" is "consumer 002001-demand". It is shown that the transportation charge is calculated using the electric energy data of each consumer of "person 002,500" as one unit. The information registered in the line where the calculation unit name is "calculation unit 004" is that the consumer ID who purchases electricity from the contractor whose contractor ID is "contractor 003" is "consumer 0025001 to consumer 0025300". It is shown that the transportation charge is calculated using the electric energy data of each consumer as one unit.

The calculation unit definition acquisition unit 40 acquires the calculation unit definition held by the calculation unit definition holding unit 50 from the outside. The calculation unit definition acquisition unit 40 may be configured to acquire the calculation unit definition data from the outside by using a communication function or the like, or may display a screen for inputting the calculation unit definition to the display unit (not shown). It may be configured to display and accept the input of the calculation unit definition from the user by using an input device such as a mouse or a keyboard.

FIG. 8 is a flowchart showing an example of the operation of the data acquisition unit 20a of the data management device 1a according to the second embodiment. The flowchart of FIG. 8 shows an operation in which the data acquisition unit 20a acquires electric energy data from the storage device 200, sorts the data, and stores the data in the data storage unit 30.

As shown in FIG. 8, the data acquisition unit 20a first acquires electric energy data from the storage device 200 (step S21). Next, the data acquisition unit 20a confirms the contractor associated with the acquired electric energy data (step S22). Specifically, the data acquisition unit 20a confirms the contractor ID associated with the smart meter ID included in the acquired electric energy data. At this time, the data acquisition unit 20a confirms each of the electric energy data acquired in step S21.

Next, the data acquisition unit 20a stores the electric energy data in the data storage unit 30 according to the calculation unit definition held by the calculation unit definition holding unit 50 (step S23). For example, when the calculation unit definition holding unit 50 holds the calculation unit definition of the content shown in FIG. 7, in step S23, the relocation unit 21a of the data acquisition unit 20a has a calculation unit whose calculation unit name is calculation unit 001. Among the consumers whose contractor ID purchases electric power from the contractor whose contractor ID is 001, the electric power amount data of the consumers whose consumer IDs are consumers 00001000 to 001000 is stored. Further, in the rearrangement unit 21a of the data acquisition unit 20a, among the consumers whose calculation unit name is the calculation unit of the calculation unit 002 and whose contractor ID is the contractor whose contractor ID is 001, the consumer ID Stores the electric energy data of the consumers of the consumers 0010001 to 002000. Further, in the rearrangement unit 21a of the data acquisition unit 20a, among the consumers whose calculation unit name is the calculation unit of the calculation unit 003 and whose contractor ID is the contractor of the contractor 002, the consumer ID Stores the electric energy data of the consumer of consumer 002001 to consumer 002,500. Further, in the rearrangement unit 21a of the data acquisition unit 20a, among the consumers whose calculation unit name is the calculation unit of the calculation unit 004 and the contractor ID is the contractor of the contractor 003, the consumer ID Stores the electric energy data of the consumer of the consumer 0025001 to the consumer 0025300.

The data acquisition unit 20a periodically and repeatedly executes the operation shown in the flowchart of FIG. 8, for example, at midnight, at 0 minutes every hour, and so on. The data acquisition unit 20a acquires the electric energy data newly stored in the storage device 200 after the previous operation is executed in step S21.

FIG. 9 is a diagram showing an example of arrangement in the storage area of the electric energy data held by the data storage unit 30 of the data management device 1a according to the second embodiment. In FIG. 9, as in FIG. 5, one rectangle in which alphabets and numerical values are described indicates one electric energy data. In addition, the alphabet indicates the contractor, and the numerical value indicates the consumer. Further, each block, which is a unit accessed by an external device, is composed of an area reserved for storing 10 electric energy data. Also, one or more blocks form one unit of calculation. In the example shown in FIG. 9, blocks B1 and B2 form unit # 1, blocks B3 and B4 form unit # 2, blocks B5 and B6 form unit # 3, and blocks B7 and B8. Form the calculation unit # 4, block B9 forms the calculation unit # 5, and block B10 forms the calculation unit # 6.

When the electric energy data is rearranged so that the data acquisition unit 20a has the arrangement shown in FIG. 9 and the electric energy data is stored in the data storage unit 30, the plurality of application servers 300 receive the electric energy data from different calculation units. It is possible to perform the process of reading and calculating the consignment fee in parallel. That is, as shown in FIG. 9, the calculation of the consignment fee of the contractor A can be distributed to the application servers # 1 to # 3. Further, the calculation of the transportation fee of the contractor B can be distributed to the application servers # 1 and # 2.

The data acquisition unit 20 of the data management device 1 according to the first embodiment and the data acquisition unit 20a of the data management device 1a according to the present embodiment are used to obtain power data of consumers who purchase power from the same contractor. It is common in that each power amount data is rearranged and stored in the data storage unit 30 so that the storage locations of the data are physically close to each other. When rearranging each electric energy data, the data acquisition unit 20a considers the calculation unit of the transportation charge in addition to the group to which each electric energy data belongs (the contractor to which each consumer purchases electricity). ..

According to the data management device 1a according to the present embodiment, the plurality of application servers 300 can calculate the consignment fee in parallel, and the time required for the process of calculating the consignment fee as compared with the first embodiment. Can be further shortened.

Embodiment 3.
FIG. 10 is a diagram showing a configuration example of a consignment charge calculation system configured by applying the data management device according to the third embodiment. In FIG. 10, the same components as those of the consignment charge calculation system according to the second embodiment shown in FIG. 6 are designated by the same reference numerals.

The consignment charge calculation system according to the present embodiment has a configuration in which the electric energy data collected by the data collection system 100 from the smart meter 101 is directly input from the data collection system 100 to the data management device 1b.

The data management devices 1 and 1a described in the first and second embodiments periodically acquire the electric energy data, but the timing at which the data management device 1b according to the present embodiment acquires the electric energy data. Depends on the operation of the data collection system 100. That is, the data management device 1b acquires the electric energy data at the timing when the data collection system 100 outputs the electric energy data.

The data management device 1b replaces the data acquisition unit 20a of the data management device 1a according to the second embodiment with the data acquisition unit 20b. The data acquisition unit 20b includes a rearrangement unit 21b.

Each time the power amount data is input from the data collection system 100, the rearrangement unit 21b confirms the contractor associated with the input power amount data, and the calculation unit definition holding unit 50 holds the data. The power amount data is stored in the data storage unit 30 according to the calculation unit definition. This operation is the same as the operation in which the rearrangement unit 21a of the data acquisition unit 20a constituting the data management device 1a according to the second embodiment rearranges the electric energy data. That is, when the electric energy data is input, the rearrangement unit 21b is a consumer who uses the smart meter 101 that outputs the electric energy data and the contractor ID of the contractor associated with the electric energy data. The consumer ID is compared with the calculation unit definition, and the power amount data is stored in the unused area in the calculation unit associated with the input power amount data, that is, in the area where the power amount data is not stored. .. The arrangement in the data storage unit 30 when the relocation unit 21b rearranges the electric energy data input to the data acquisition unit 20b and stores it in the data storage unit 30 is also the arrangement as shown in FIG.

As described above, the data management device 1b that directly acquires the electric energy data from the data collection system 100 purchases the electric energy from the same contractor as in the data management devices 1 and 1a according to the first and second embodiments. Each electric energy data can be rearranged so that the storage locations in the data storage unit 30 of the electric energy data of the consumer are physically close to each other. Therefore, the same effect as that of the first and second embodiments can be obtained.

In the present embodiment, an example in which the data management device 1a according to the second embodiment directly acquires the power amount data from the data collection system 100 has been described, but the data management according to the first embodiment has been described. It is also possible for the device 1 to directly acquire the power amount data from the data acquisition system 100.

The configuration shown in the above-described embodiment shows an example of the content of the present invention, can be combined with another known technique, and is one of the configurations without departing from the gist of the present invention. It is also possible to omit or change the part.

1,1a, 1b data management device, 20,20a, 20b data acquisition unit, 21,21a, 21b relocation unit, 30 data storage unit, 40 calculation unit definition acquisition unit, 50 calculation unit definition holding unit, 100 data acquisition system , 101 smart meter, 200 storage device, 300 application server, 301 business function department.

Claims (5)

A data acquisition unit that acquires the electric energy data from a storage device that stores the electric energy data collected from the smart meter, and
A data storage unit that stores the electric energy data acquired by the data acquisition unit, and
With
The data acquisition unit groups the acquired electric energy data so that the same electric energy retailers contracted by the consumer who installed the smart meter from which the electric energy data is collected are in the same group. The electric energy data of the same group is collectively stored in a certain range of the storage area constituting the data storage unit.
A data management device characterized by this. The storage area includes a plurality of blocks that can be accessed by an external device at one time.
The data acquisition unit stores the electric energy data of the same group in one block.
The data management device according to claim 1. Calculation unit definition holding unit that holds the calculation unit definition that defines the calculation unit that is the unit for calculating the transportation fee.
With
The unit of calculation is formed to include one or more of the blocks.
The data acquisition unit stores the same group of electric energy data in one calculation unit.
The data management device according to claim 2. Calculation unit definition acquisition unit that acquires the calculation unit definition from the outside,
The data management device according to claim 3, further comprising. A data acquisition unit that acquires the electric energy data from a data collection system that collects electric energy data from a smart meter, and
A data storage unit that stores the electric energy data acquired by the data acquisition unit, and
With
The data acquisition unit groups the acquired electric energy data so that the same electric energy retailers contracted by the consumer who installed the smart meter from which the electric energy data is collected are in the same group. The electric energy data of the same group is collectively stored in a certain range of the storage area constituting the data storage unit.
A data management device characterized by this.

Images