WO2018003053A1 - データ収集サーバおよび欠損データ補完方法 - Google Patents

データ収集サーバおよび欠損データ補完方法 Download PDF

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Publication number
WO2018003053A1
WO2018003053A1 PCT/JP2016/069405 JP2016069405W WO2018003053A1 WO 2018003053 A1 WO2018003053 A1 WO 2018003053A1 JP 2016069405 W JP2016069405 W JP 2016069405W WO 2018003053 A1 WO2018003053 A1 WO 2018003053A1
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data
information
missing
collection
periodic
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PCT/JP2016/069405
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English (en)
French (fr)
Japanese (ja)
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佐藤　圭
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三菱電機株式会社
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Priority to JP2018524653A priority Critical patent/JP6540897B2/ja
Priority to CN201680087138.7A priority patent/CN109328375B/zh
Priority to PCT/JP2016/069405 priority patent/WO2018003053A1/ja
Priority to TW105122591A priority patent/TWI601023B/zh
Publication of WO2018003053A1 publication Critical patent/WO2018003053A1/ja

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C25/00—Arrangements for preventing or correcting errors; Monitoring arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Definitions

  • the present invention relates to a technique for complementing data that is missing during regular collection, particularly in a data collection server that collects data from a plurality of measuring instruments.
  • the data collection server periodically collects measurement information of measuring instruments from a plurality of measuring instruments connected via communication means at regular intervals.
  • measurement information cannot always be obtained from all measuring instruments, and measurement data of a certain device may be temporarily lost.
  • measurement data even if an attempt is made to retransmit data to a device with data loss in a state where a communication failure has occurred, it is difficult to reacquire and supplement data only by increasing communication traffic.
  • each measuring instrument usually holds measurement data for the past several days.
  • a wireless communication system that performs complementation by grouping and retransmitting missing data when communication with the corresponding device is restored when measurement data is missing (for example, Patent Document 1). reference.).
  • JP 2009-140184 A paragraphs 0016 to 0040, FIGS. 1 to 6)
  • devices that generate missing data may be basically in an environment where communication failures are likely to occur. Even if you try to retransmit the missing data simply because communication is restored, Re-acquisition often fails. For example, in an implementation example of a system, when the interval of scheduled collection is 30 minutes, the ratio of time allocated for regular collection and reacquisition is about 2: 1. In such a situation, if the devices that fail to reacquire as described above continue, the number of reacquisition target devices increases, which may increase the time required for reacquisition and hinder scheduled collection.
  • the present invention has been made to solve the above-described problems, and an object of the present invention is to obtain a data collection server that can efficiently re-acquire data and complement missing data.
  • the data collection server of the present invention communicates with each of a plurality of measuring instruments, and each of the plurality of measuring instruments acquires data measured by periodic measurement, and among the data acquired by the data acquiring section
  • a periodical collection information generating unit that generates periodic collection information that summarizes data collected by periodic collection synchronized with the periodical measurement, and a deficiency situation of data collected from each of the plurality of measuring devices based on the periodical collection information
  • a deficiency situation analysis unit that generates deficient information by analyzing the deficiency information, and a complementary operation control unit that controls a complementary operation for complementing the deficient data in the periodic collection information based on the deficiency information
  • the complementary operation control unit is a predetermined number of consecutive times starting from when a defect occurs for each of the plurality of measuring instruments after each of the periodic collections.
  • the data acquisition unit may reacquire the data to which the instrument is held in each of the set data group.
  • the missing data complementing method of the present invention is a method for complementing missing data in a system in which a data collection server collects data measured by each of a plurality of measuring instruments through regular measurement, via the communication means.
  • a periodic collection information generating step for generating periodic collection information in which data collected by periodic collection synchronized with the periodic measurement is collected, and the plurality of measuring instruments based on the periodic collection information
  • a missing situation analysis step for analyzing the missing situation of the data collected from each of them to generate missing information, and controlling a complementing operation for complementing missing data in the periodic collection information based on the missing information
  • data is re-acquired every predetermined number of data groups set starting from the time when the missing occurs, so that the data can be efficiently regenerated. Acquire and supplement missing data.
  • FIG. 1 to 5 are diagrams for explaining the configuration of the data collection server or the missing data supplement method according to the first embodiment of the present invention.
  • FIG. 1 is a functional block diagram for explaining the configuration of the data collection server.
  • 2 and 3 show the data format of each periodical collection information at a certain point in time and several pieces of missing information up to that point as specific examples for performing data complementation.
  • FIG. 3 shows the relationship between the periodic collection information and the missing information after the re-acquisition execution.
  • FIG. 4 is a flowchart of the process from periodic collection to data supplement operation for explaining the operation of the data collection server and the missing data supplement method
  • FIG. 5 is a schematic configuration diagram showing the relationship between the data collection server and the measuring instrument. is there.
  • the data collection server 1 communicates with a measuring instrument via a network, acquires a measurement data held by the measuring instrument, and a fixed period.
  • the periodic collection information generation unit 10 that generates the periodic collection information Dp from the measurement data periodically collected by the data acquisition unit 70 and outputs it to the periodic collection information holding unit 100, and the periodic collection stored in the periodic collection information holding unit 100 Analyzing the defect situation from the information Dp, generating the defect information Dd and outputting it to the defect information holding part 200, determining the reacquisition object based on the defect information Dd and the periodically collected information Dp,
  • the supplementary operation control unit 30 that causes the acquisition unit 70 to reacquire data and supplements the data of the regularly collected information Dp based on the reacquired measurement data, and the overall operation of each device It includes a data collection controller 40 for controlling the.
  • each of the above devices may be configured as a physically independent device, but it goes without saying that it may be configured by incorporating software in hardware such as a computer.
  • “ ⁇ part” corresponding to each device may be read as “ ⁇ step”.
  • the missing situation analyzing unit 20 or the missing situation analyzing step the measurement data acquired in the past from the periodic collection information Dp is stored. A missing portion is extracted, and missing information Dd for defining continuous data predetermined from the missing portion as a re-acquisition object as one data complementing group is generated.
  • a data complementing group is defined based on the missing information Dd and the regularly collected information Dp, and data complementing (data reacquisition) is executed. Completion. At that time, it is important to set a predetermined number of continuous data starting from the point of time when the deficiency starts as a re-acquisition object, regardless of the presence or absence of the deficiency.
  • the communication efficiency when performing data acquisition in the form of a communication packet, there is an overhead of the header part. Therefore, it is possible to increase the communication efficiency by increasing the length of the data part compared to the length of the header part. it can. For example, in a certain implementation example, since the length of the header part is 53 bytes and the length of one data is 8 bytes, communication efficiency (communication amount) can be obtained by grouping the data length to be collectively acquired to be larger than 53 bytes. The number of data that can be acquired per hit can be increased. That is, for a certain device, acquiring eight or more data collectively leads to efficient data acquisition.
  • the acquisition target is defined so as to acquire continuous data regardless of the presence or absence of the defect from the leading time t1 in the above-described loss situation
  • the time data is Only the top is enough.
  • each collection time can be discriminated, so that t1, D1, D2, D3, D4, D5, D6, D7 and seven numerical data can be obtained. That is, rather than selecting and acquiring the necessary numerical data, the number of data obtained per the same communication volume is larger when a certain number of data is collectively collected starting from missing data.
  • the data collection server 1 or the missing data complementing method as the number of times that the data amount is equal to or more than the above-described header, the number of times that is a predetermined number (seven times or more) consecutive from the beginning of the missing. We decided to acquire data. Furthermore, in order to increase the success rate of reacquisition, only the devices that have succeeded in the most recent scheduled collection are targeted for reacquisition. Details will be described below. However, if the specific number of times (referred to as “re-acquired group length N”) is specifically described as “7 or more”, it is assumed that the predetermined number of times is set to “4” because the display and analysis of data becomes complicated. A specific explanation will be given. The specific relationship between the data collection server 1 and the measuring instrument 2 will be described later.
  • the reacquisition group Ga is a group of data that is collectively reacquired when data collection from a certain device is lost. Specifically, when a defect occurs in the device for the first time at a certain collection time T i , a defect time value Vt indicating a defect start time (collection time (T i + 3 )) is defined. The data corresponding to all consecutive collection times (T i to T i + 3 ) for the re-acquisition group length N starting from the missing time value Vt is used regardless of whether there is a missing data in the middle. to set as the value Vt and the re-acquisition group of the one that was characterized string Ga i.
  • the missing number value Vc is set to 1 at the time when collection at the missing start time (missing time value Vt: collection time (T i )) ends. Then, regardless of whether or not there is a defect in the middle, the count is incremented for each regular collection until the last regular collection (collection time (T i + 3 )) of the reacquirement group Ga i .
  • the flag value Vf that determines that the reacquisition operation is performed at the next collection time (T i + 4 ) is set, assuming that the reacquisition group Ga i is completed.
  • the loss count value Vc is reset (set to 0), and when a loss occurs in the subsequent collection, it is determined that “the loss is the first time”, and the loss time value Vt and a new reacquirement group Ga j are completed. The missing number value Vc is counted up.
  • the regular collection information generation unit 10 performs regular collection information Dp as described below for each regular collection. Is generated.
  • Each meter 2 is, for example, a watt-hour meter, and is regularly collected information Dp when the integrated value of power is collected as measurement data, in which numerical values are entered in the third and subsequent columns.
  • the data when data can be collected is shown.
  • “X” indicates that data could not be collected.
  • the measuring instrument 2 of the ID is M3, the collection time T 1, T 3, T 6 , T 7 has been able to collect the data of 14,23,52,61, T 2, T 4, T 5 Indicates that the collection failed and missing data was generated.
  • each measuring instrument 2 and the data collecting server 1 are synchronized, and the collecting time at the time of regular collection can be regarded as the time measured by each measuring instrument 2.
  • the measurement data for a plurality of times stored in each measuring instrument 2 also coincides with the corresponding collection time. Therefore, in the following description, it will be described as “collection time” including the measurement time.
  • two types of data relating to the time, real time data and time ID (T i ), are shown.
  • the deficiency situation analysis unit 20 Based on the periodic collection information Dp, the deficiency situation analysis unit 20 defines the reacquired group length N minutes (four times) data as the reacquisition group Ga from the time when the deficiency occurs, The time value Vt, the missing number value Vc, and the flag value Vf are calculated, and the missing information Dd is generated.
  • the defect situation analysis unit 20 generates the periodic collection information Dp (T c ) U immediately after the regular collection performed at the collection time Tc and the regular collection (collection time T c-1 ) immediately before that. missing information Dd which is (referred to as missing information Dd c-1.), and by using complementary operation information output from the complementary operation control unit 30, generates the defect information Dd c used when the next periodic collection. For example, when the periodic collection is performed at the collection time T 7, it is used next time by using the missing information Dd 6 and the periodic collection information Dp (T 7 ) U that are generated in the previous collection and used in the main collection, and the complementary operation information. The deficiency information Dd 7 is generated (the deficiency situation is analyzed).
  • Each deficient information Dd i can be expressed in a matrix format, the ID of each measuring instrument 2 (M1 to M1000 (for 1000 units)) in the first column, and whether or not the reacquisition group Ga is completed in the second column.
  • the flag value Vf that is indicated, and the missing time value Vt that indicates the starting point (first collection time at which the missing occurs) for each reacquired group Ga are described in the third column.
  • the flag value Vf is set to “0”
  • the missing time value Vt is “blank”
  • the missing count value Vc is set to “0” by default.
  • the regularly collected information Dp and the missing information Dd are stored as separate files, for example, every day or every week, the previous value may be taken over as the initial value.
  • the missing number value Vc originally has any value of 1 to 3.
  • the missing number value Vc is not shown.
  • the missing number value Vc may be stored in the missing information Dd.
  • the periodic collection information Dp and the missing time value Vt are present, the missing number value Vc can be calculated immediately. . Therefore, in the flowchart described later with reference to FIG. 4, the count-up operation of the missing number value Vc is omitted.
  • the missing information Dd for the next periodic collection is generated after confirming the necessity of the complement operation regardless of whether or not the complement operation is actually performed. It becomes complicated to explain the generation of the missing information Dd at the same time. Therefore, referring to the flowchart of FIG. 4 as well, how the missing state analysis unit 20 first sets (generates) the missing information Dd to be used for the next periodic collection when there is no complementary operation. explain. As a specific example, after periodic collection, how to analyze the missing situation at a certain collection time for measuring instruments M1, M3, and M1000 that indicate typical data measurement situations from a plurality of measuring instruments. Explain what happened.
  • the flow shown in FIG. 4 basically operates according to instructions from the data collection control unit 40. Basically, after performing a periodic collection operation and generating the periodic collection information Dp, a series of operations such as analysis of a missing state, data interpolation, generation of missing information Dd, and the like are repeatedly performed from the measuring instruments M1 to M1000.
  • the data acquisition unit 70 acquires periodic collection data from the measuring instrument 2 through the communication network (S10), and the periodic collection information generation unit 10 generates the periodic collection information Dp and outputs it to the periodic collection information holding unit 100 (S20). . Then, the following analysis and complementary operations are sequentially performed on each measuring instrument 2.
  • Dp (T 2) to analyze the defect state with periodical collection information Dp (T 2) U and defect information Dd 1, and complementary operation information that was not complementary operation.
  • defects occur in the instrument M3, because no missing time value Vt to Dd 1, determines "First is deficient", the column of Dd 2 instrument M3, missing time T 2, (Step Sk10 (Y) ⁇ Sk110 (No) ⁇ Sk150 ⁇ Sk200). Further, the number of missing values Vc is set to 1.
  • the missing state is analyzed using the regularly collected information Dp (T 6 ) U, the missing information Dd 5 , and the complementary operation information indicating that the complementary operation has not been performed.
  • the presence or absence of a defect at the current time Tc is confirmed (Sk10). If a defect occurs at the current time Tc (Y), there is a possibility that some failure has occurred in the communication path related to the relevant measuring instrument 2, and the data is acquired even if the data is requested again. It may not be possible. Or, there is a possibility of waiting only for timeout in communication, so not only data re-acquisition fails, but in the meantime it becomes in a state of holding communication, disturbing other communication and efficiently communicating There may be situations where this is not possible. In order to avoid these situations, the data acquisition state at the current time Tc is confirmed, and it is determined whether or not to perform data interpolation. If there is no defect, the flag value Vf of the defect information Ddc -1 is confirmed (Sk20).
  • FIG. 3 shows a periodical collection at time T 7 , and the periodic collection information corrected after the data supplementation is performed using Dp (T 7 ) C and the deficit used for the complementation operation from time T 5 to T 7 . and Dd 6 from the information Dd 4, showing the missing information Dd 7 generated after completion.
  • the display contents in each information are the same as those described with reference to FIG.
  • the flowchart of FIG. 4 shows how the complementary operation is controlled at a certain collection time with respect to the measuring instruments M1, M3, and M1000 that indicate typical data measurement situations from among a plurality of measuring instruments. This will be explained with reference.
  • defect status analyzing unit 20 the complementary operation information in the periodic collection and periodical collection information Dp (T i) C, and the previous based on missing information Dd i-1 of the periodic collection, missing information Dd i used the next time (Step Sk10 (Y) ⁇ Sk110 ⁇ Sk120 ⁇ Sk200).
  • Step Sk10 (Y) ⁇ Sk110 ⁇ Sk120 ⁇ Sk200.
  • the previous flag is continued and the number of missing values Vc is counted up (Sk120 (0 ⁇ Vc ⁇ N) ⁇ Sk160 ⁇ Sk200).
  • the periodic collection information Dp is modified as Dp (T 6 ) C shown in FIG. 3 (operation E1: Sk40 (Y) ⁇ Sk50). Then, the supplementary operation information to that effect is output to the defect situation analysis unit 20.
  • the missing state analysis unit 20 deletes T 2 stored as the missing time value Vt and sets the flag value Vf to 0 because the number of missing time values Vt becomes 0 by deleting T 2.
  • the column of the measuring instrument M3 of the missing information Dd 6 is generated (operation E2: step Sk60 ⁇ Sk70 (0) ⁇ Sk100 ⁇ Sk200).
  • missing information Dd 7 is generated and prepared for the next periodic collection.
  • the data can be reacquired (complemented) without the reacquisition operation affecting the periodic collection. It becomes.
  • the data can be efficiently re-acquired and the missing data can be complemented based on the data loss situation.
  • the data collection server 1 measures from the measuring instruments 2 -1 to 2-1000 (measuring instruments M1 to M1000) wirelessly or via wired communication means such as PLC (Power Line Consication). Collect data regularly.
  • Each measuring instrument 2 -1 to 2 -1000 also stores the measurement data of the past regular collection, and in the figure it shows that it has 12 hours of regular collection (30 minutes x 25 times) data Show.
  • a meter reading system is assumed in which the data collection server 1 is a meter reading server and the measuring instrument 2 is a smart meter.
  • an energy saving data collecting server as the data collecting server 1
  • an energy saving system using a measuring terminal as the measuring instrument 2 a demand data collecting server as the data collecting server 1
  • a demand monitoring system using a transaction meter as the measuring instrument 2
  • Efficiently collect missing data when applied to an energy saving data collecting server as the data collecting server 1, an energy saving system using a measuring terminal as the measuring instrument 2, a demand data collecting server as the data collecting server 1, a demand monitoring system using a transaction meter as the measuring instrument 2, etc. Efficiently collect missing data.
  • the communication state changes.
  • This premise applies not only to wireless communication but also to wired communication means such as PLC.
  • the data collection server 1 or the data loss complementation method according to the embodiment of the present invention has a configuration in which the communication status changes depending on the environment, such as a configuration in which communication is performed by wireless communication means or a configuration in which communication is performed by wired communication means. Is effective.
  • each measuring instrument 2 has one flag value Vf, particularly in FIGS. Yes.
  • a certain measuring instrument Mi has a plurality of missing time values Vt
  • one reacquisition group Ga starting from the missing time value Vt corresponding to the oldest date and time is set as a reacquisition target. Yes.
  • the number of reacquisition targets is limited, and the reacquisition operation can be executed without affecting the periodic collection.
  • the missing value Dd may be generated by setting the flag value Vf corresponding to the missing time value Vt.
  • the flag value is 1 (Sk20), that is, all completed as the reacquisition group Ga may be reacquired.
  • the number of reacquisition groups Ga may be calculated in advance for all the measuring instruments 2, and the reacquisition target may be determined by assigning priorities to those that are candidates for reacquisition. For example, in the flow of FIG. 4, an example is shown in which the reacquisition group Ga is extracted for each measuring instrument 2 and the complementing operation is executed. However, when selecting the reacquisition group Ga with priorities as described above, after selecting the reacquisition group for all the measuring instruments 2, select the reacquisition group Ga to be actually acquired again. Re-acquisition may be executed after that.
  • the reacquisition group Ga of measuring instruments having a large number of missing time values Vt it is possible to correct and level the bias of the missing rate of data for each measuring instrument.
  • the communication condition may be determined to be good if the number of defects is small, and the communication condition is bad if there are many defects. In this case, the number selected as the reacquisition target may be changed according to the number of defects so that the number of defects decreases as the number of defects increases.
  • the complementary operation control unit 30 may control the complementary operation only by the missing information Dd without using the periodic collection information Dp.
  • the missing information Dd is not limited to the missing information Dd C-1 generated in the immediately preceding periodic collection, and if the timing of assigning the missing number value Vc and the flag value Vf and the evaluation criteria are adjusted, The generated missing information Dd C may be used.
  • the data collection server 1 communicates with each of the plurality of measuring instruments 2 (M1 to M1000), and each of the plurality of measuring instruments 2 performs measurement by regular measurement.
  • a data acquisition unit 70 that acquires the acquired data, and a periodic collection information generation unit 10 that generates periodic collection information Dp that summarizes the data collected by the periodic collection synchronized with the periodical measurement among the data acquired by the data acquisition unit 70, and Based on the periodically collected information Dp, the missing situation analysis unit 20 that analyzes the missing situation of the data collected from each of the plurality of measuring instruments 2 to generate the missing information Dd, and the periodic collected information Dp based on the missing information Dd
  • a complementary operation control unit 30 for controlling a complementary operation for supplementing missing data, and the complementary operation control unit 30
  • a data group (re-acquisition group Ga) for a predetermined number of times starting from when a defect occurs (deletion time value Vt) is set for each of the number of measuring instruments 2, and the data acquisition unit 70 sets Since it is configured to re
  • the supplementary operation control unit 30 selects a data group (re-acquisition group Ga) of the measuring instrument 2 in which data is lost during the periodic collection among the data groups (re-acquisition group Ga) based on the periodic collection information Dp. It was configured not to be reacquired. That is, since only the measuring instrument 2 in a good communication state at that time is targeted, the success rate of re-acquisition is increased, and data can be complemented more efficiently.
  • the complementary operation control unit 30 has the oldest time when a loss occurs (missing time value Vt). Since only the data group is selected for reacquisition, the number of reacquisition targets is limited, for example, while securing the old data that is most necessary to collect data for each device. The reacquisition operation can be executed without affecting the collection.
  • the complementary operation control unit 30 has an old time when a loss occurs (missing time value Vt). If the priority is selected as the re-acquisition target, the date of data that can be collected together can be brought closest to the current time.
  • the complementary operation control unit 30 has a larger number of data groups (re-acquisition group Ga). If the data group 2 (re-acquisition group Ga) is preferentially selected as a re-acquisition target, the data of the measuring instrument 2 in which the communication state continues to be poor can be intensively complemented. Unevenness of the alignment can be leveled.
  • the data collection server 1 collects data measured by each of the plurality of measuring instruments 2 through the regular measurement via the communication unit.
  • a defect situation analysis step (Sk60 to Sk100, Sk130 to Sk160) for analyzing the missing situation of data collected from each of the plurality of measuring instruments 2 and generating missing information Dd based on the periodic collection information Dp, Complementary operation for controlling a supplementary operation for supplementing missing data in the regularly collected information based on the missing information Dd
  • a defect time value Vt is used as a starting point.
  • a data group (re-acquisition group Ga) for a predetermined number of consecutive times is set, and the data acquisition unit 70 is configured to re-acquire data held by the measuring instrument for each set data group (re-acquisition group Ga). Therefore, assuming regular collection, the amount of data required for communication can be reduced, and data can be efficiently re-acquired to compensate for missing data.
  • the data group (re-acquisition group Ga) of the measuring instrument 2 in which data is lost during the periodic collection is selected from the data groups (re-acquisition group Ga). It was configured not to be reacquired. That is, since only the measuring instrument 2 in a good communication state at that time is targeted, the success rate of re-acquisition is increased, and data can be complemented more efficiently.
  • SYMBOLS 1 Data collection server
  • 2 Measuring instrument
  • 10 Periodic collection information generation part
  • 20 Defect state analysis part
  • 30 Complementary operation control part
  • 40 Data collection control part
  • 70 Data acquisition part
  • 100 Periodic collection Information holding unit
  • 200 missing information holding unit
  • Dd missing information
  • Dp periodic collection information
  • Ga reacquisition group
  • N reacquisition group length
  • Vc number of missing values
  • Vf flag value
  • Vt missing time value.

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  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Selective Calling Equipment (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)
  • Testing And Monitoring For Control Systems (AREA)
PCT/JP2016/069405 2016-06-30 2016-06-30 データ収集サーバおよび欠損データ補完方法 WO2018003053A1 (ja)

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JP2018524653A JP6540897B2 (ja) 2016-06-30 2016-06-30 データ収集サーバおよび欠損データ補完方法
CN201680087138.7A CN109328375B (zh) 2016-06-30 2016-06-30 数据收集服务器及缺损数据补充方法
PCT/JP2016/069405 WO2018003053A1 (ja) 2016-06-30 2016-06-30 データ収集サーバおよび欠損データ補完方法
TW105122591A TWI601023B (zh) 2016-06-30 2016-07-18 資料收集伺服器及欠損資料補完方法

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