WO2016206191A1 - 数据处理方法及装置 - Google Patents

数据处理方法及装置 Download PDF

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Publication number
WO2016206191A1
WO2016206191A1 PCT/CN2015/088902 CN2015088902W WO2016206191A1 WO 2016206191 A1 WO2016206191 A1 WO 2016206191A1 CN 2015088902 W CN2015088902 W CN 2015088902W WO 2016206191 A1 WO2016206191 A1 WO 2016206191A1
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data
predetermined
action
specified
specified data
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PCT/CN2015/088902
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English (en)
French (fr)
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赵长军
唐国均
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中兴通讯股份有限公司
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Publication of WO2016206191A1 publication Critical patent/WO2016206191A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current

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  • the present invention relates to the field of communications, and in particular to a data processing method and apparatus.
  • AMI advanced metering infrastructure
  • the embodiment of the invention provides a data processing method and device, so as to at least solve the problem that the data collected by the AMI cannot be effectively detected and corrected in the related art.
  • a data processing method includes: acquiring data from an electric meter of a collection system AMI; acquiring a predetermined detection action corresponding to the data; and detecting whether the data is correct according to the predetermined detection operation.
  • the method further includes: acquiring a predetermined estimation action corresponding to the specified data in a case where the specified data is absent in the data; and estimating the specified data according to the predetermined estimation action.
  • the obtaining the predetermined detecting action or the predetermined estimating action comprises: acquiring the predetermined detecting action or the predetermined estimating action from a group of pre-configured corrections (Validation, Estimation and Editing, VEE for short); wherein the pre-configuring The corrected VEE group is the corrected VEE group to which the above meter belongs.
  • a group of pre-configured corrections Value, Estimation and Editing, VEE for short
  • detecting whether the data is correct according to the predetermined detecting action includes: determining whether the value of the data belongs to a predetermined value range, and if the determination result is yes, the data is a correct value, and the determining result is no.
  • the data is an error value; or, when the data includes at least two of the hourly freeze data, the daily freeze data, and the monthly freeze data, whether the data is correct according to two or three types of data included in the data .
  • estimating the specified data according to the predetermined estimating action includes: estimating the specified data according to a fixed value; or estimating the specified data according to a last valid value corresponding to the specified data; or, according to the specified data
  • the previous data and the latter data of the specified data are used to estimate the specified data; or, the specified data is estimated based on the difference between the first data and the second data included in the data.
  • the method includes: editing the data whose detection result is erroneous; and/or, after estimating the specified data according to the predetermined estimating action, the method includes: The above specified data is edited.
  • a data processing apparatus comprising: a first acquisition module configured to acquire data from an electricity meter of a collection system AMI; and a second acquisition module configured to Obtaining a predetermined detection operation corresponding to the above data; and the detecting module is configured to detect whether the data is correct according to the predetermined detection operation.
  • the device further includes: a third obtaining module, configured to acquire a predetermined estimation action corresponding to the specified data if the specified data is absent in the data; and the estimating module is configured to perform the action according to the predetermined estimation action The above specified data is estimated.
  • a third obtaining module configured to acquire a predetermined estimation action corresponding to the specified data if the specified data is absent in the data
  • the estimating module is configured to perform the action according to the predetermined estimation action The above specified data is estimated.
  • the second acquiring module is further configured to obtain the predetermined detecting action from the pre-configured corrected VEE group; or the third acquiring module is further configured to obtain the predetermined estimating action from the pre-configured corrected VEE group.
  • the pre-configured corrected VEE group is the corrected VEE group to which the electric meter belongs.
  • the detecting module further includes: a first detecting unit, configured to determine whether the value of the data belongs to a predetermined value range, and if the determination result is yes, the data is a correct value, and the determining result is Otherwise, the data is an error value; or the second detecting unit is configured to: when the data includes at least two of the hourly freeze data, the daily freeze data, and the monthly freeze data, according to the two types included in the data Or three kinds of data to determine whether the above data is correct.
  • a first detecting unit configured to determine whether the value of the data belongs to a predetermined value range, and if the determination result is yes, the data is a correct value, and the determining result is Otherwise, the data is an error value
  • the second detecting unit is configured to: when the data includes at least two of the hourly freeze data, the daily freeze data, and the monthly freeze data, according to the two types included in the data Or three kinds of data to determine whether the above data is correct.
  • the foregoing estimating module further includes: a first estimating unit configured to estimate the specified data according to the fixed value; or, the second estimating unit is configured to estimate the foregoing according to the last valid value corresponding to the specified data.
  • Specifying data or, the third estimating unit is configured to estimate the specified data according to the previous data of the specified data and the subsequent data of the specified data; or the fourth estimating unit is set to be included according to the data The difference between the first data and the second data is used to estimate the specified data.
  • the apparatus further includes: a first editing module configured to edit data that is erroneous in detection; and/or a second editing module configured to edit the specified data according to the estimation result.
  • a first editing module configured to edit data that is erroneous in detection
  • a second editing module configured to edit the specified data according to the estimation result.
  • data is acquired from the electricity meter of the collection system AMI; the predetermined detection action corresponding to the data is acquired; and whether the data is correct according to the predetermined detection action.
  • the invention solves the problem that the data collected by the AMI cannot be effectively detected and corrected in the related art, thereby realizing the detection, estimation and editing of the data read from the electric meter, and ensuring the correctness of the system data.
  • FIG. 1 is a flow chart of a data processing method according to an embodiment of the present invention.
  • FIG. 2 is a block diagram showing the structure of a data processing apparatus according to an embodiment of the present invention.
  • FIG. 3 is a structural block diagram (1) of a data processing apparatus according to an embodiment of the present invention.
  • FIG. 4 is a structural block diagram (2) of a data processing apparatus according to an embodiment of the present invention.
  • FIG. 5 is a structural block diagram (3) of a data processing apparatus according to an embodiment of the present invention.
  • FIG. 6 is a structural block diagram (4) of a data processing apparatus according to an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of a VEE policy group and an action according to an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of a VEE detecting operation according to an embodiment of the present invention.
  • FIG. 9 is a schematic diagram of a VEE evaluation operation according to an embodiment of the present invention.
  • FIG. 10 is a diagram of a VEE administrator authority according to an embodiment of the present invention.
  • FIG. 11 is a flow chart of VEE simple message processing in accordance with an embodiment of the present invention.
  • FIG. 1 is a flowchart of a data processing method according to an embodiment of the present invention. As shown in FIG. 1, the process includes the following steps:
  • Step S102 obtaining data from an electricity meter of the collection system AMI
  • Step S104 acquiring a predetermined detection action corresponding to the data
  • Step S106 detecting whether the data is correct according to a predetermined detection operation.
  • the data is detected according to a predetermined detection action corresponding to the data acquired from the electricity meter of the collection system AMI, and the correctness of the data is determined according to the detection result, compared with the related art, by manual Checking, abnormally neglecting or fixed difference analysis and correction of AMI data collection results in high labor costs, or the processing strategy for abnormal data is fixed, and it is not possible to adapt to different situations.
  • the above steps solve the related technology.
  • the problem of effective detection and correction of the data collected by the AMI cannot be performed, and the data read from the electric meter is detected, estimated, edited, and the correctness of the system data is ensured.
  • a predetermined estimation action corresponding to the specified data is acquired, and the specified data is estimated according to a predetermined estimation action.
  • the missing specified data can be supplemented later.
  • the above step S104 involves acquiring a predetermined detection action.
  • the predetermined detection action can be acquired in various ways, which will be exemplified below.
  • the predetermined detection action is obtained from a pre-configured set of corrected VEEs, wherein the pre-configured set of corrected VEEs is the corrected set of VEEs to which the meter belongs.
  • the above steps also involve obtaining a predetermined estimation action.
  • the predetermined detection action can be obtained in various ways, which will be exemplified below.
  • the predetermined estimation action is obtained from the pre-configured set of corrected VEEs; wherein the pre-configured set of corrected VEEs is the set of corrected VEEs to which the meter belongs.
  • the above step S106 involves detecting whether the data is correct according to a predetermined detection operation. In an optional embodiment, it is determined whether the value of the data belongs to a predetermined value range. If the determination result is yes, the data is a correct value, and if the determination result is no, the data is an error value. . In another optional embodiment, when the data includes at least two of the hour freeze data, the daily freeze data, and the monthly freeze data, whether the data is correct is determined according to two or three types of data included in the data. Thereby, the detection result of whether the above data is correct or not is obtained.
  • the above steps also involve estimating the specified data according to the predetermined estimation action. It should be noted that there are many ways to estimate the specified data according to the predetermined estimation action, which will be exemplified below.
  • the specified data can be estimated from a fixed value.
  • the specified data may be estimated based on the last valid value corresponding to the specified data, for example, for the value of the missing portion, the last valid value is filled. For some data, such as the number of active degrees of daily freezing, in the case of missing, this method can be used.
  • the specified data may be estimated according to the previous data of the specified data and the subsequent data of the specified data, for example, according to the data acquisition method before and after, the energy value of the missing point for the set copy is set to E.
  • the missing time is T.
  • the corresponding energy value is Ep1
  • the time is Tp1.
  • a successful data P2 the corresponding energy value is Ep2, and the time is Tp2.
  • the specified data may also be estimated according to the difference between the first data and the second data included in the foregoing data, for example, calculation according to the similar level energy value data, and the missing set copy point is assumed.
  • the energy value is missing for E and the time is missing for T day.
  • the difference calculation can be performed to obtain the E value of the current day.
  • the purpose of analyzing the AMI data is to correct the wrong data or the missing data.
  • the data is detected to be correct according to the predetermined detection operation, the data whose detection result is erroneous is edited.
  • the specified data is estimated according to a predetermined estimation action, the specified data is edited based on the estimation result. In order to ensure the correctness of the data collected by the AMI.
  • a data processing device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again.
  • the term “module” may implement a combination of software and/or hardware of a predetermined function.
  • the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
  • the apparatus includes: a first obtaining module 22 configured to acquire data from an electricity meter of a collection system AMI; and a second acquisition module 24, configured to acquire a predetermined detection action corresponding to the data; and the detecting module 26 is configured to detect whether the data is correct according to a predetermined detection action.
  • FIG. 3 is a structural block diagram (1) of a data processing apparatus according to an embodiment of the present invention.
  • the apparatus includes, in addition to all the modules shown in FIG. 2, a third obtaining module 32, which is set to In the case where the specified data is absent in the data, a predetermined estimation action corresponding to the specified data is acquired; the estimation module 34 is arranged to estimate the specified data according to the predetermined estimation action.
  • the second obtaining module 24 is further configured to obtain a predetermined detecting action from the pre-configured corrected VEE group; or the third obtaining module 32 is further configured to obtain the predetermined estimating action from the pre-configured corrected VEE group;
  • the pre-configured corrected VEE group is the corrected VEE group to which the meter belongs.
  • the detecting module 26 further includes: a first detecting unit 262, configured to determine whether the value of the data belongs to a predetermined fetch. The value range, in the case where the determination result is YES, the data is the correct value, and if the determination result is no, the data is an error value; or, the second detecting unit 264 is set to freeze in the data containing hour When at least two of the data, the daily freeze data, and the monthly freeze data are used, the data is judged to be correct based on two or three types of data included in the data.
  • the estimating module 34 further includes: a first estimating unit 342 configured to estimate the specified data according to a fixed value; or, the second estimating unit 344 is Set to estimate the specified data according to the last valid value corresponding to the specified data; or, the third estimating unit 346 is configured to estimate the specified data according to the previous data of the specified data and the subsequent data of the specified data; Alternatively, the fourth estimating unit 348 is configured to estimate the designated data according to the difference between the first data and the second data included in the data.
  • FIG. 6 is a structural block diagram (4) of a data processing apparatus according to an embodiment of the present invention. As shown in FIG. 6, the apparatus further includes: a first editing module 62 configured to edit data that is erroneous in detection; and Or, the second editing module 64 is configured to edit the specified data according to the estimation result.
  • a first editing module 62 configured to edit data that is erroneous in detection
  • the second editing module 64 is configured to edit the specified data according to the estimation result.
  • each of the above modules may be implemented by software or hardware.
  • the foregoing may be implemented by, but not limited to, the foregoing modules are all located in the same processor; or, the above modules are respectively located.
  • the first processor, the second processor, and the third processor In the first processor, the second processor, and the third processor.
  • the AMI is mainly composed of a smart meter, a communication system and equipment, and a meter database management system (MDMS).
  • MDMS meter database management system
  • Smart meters are the global trend today, so the embodiments of the present invention have a good market prospect as more and more market applications of smart meters require better intelligence.
  • the AMI system reads the data from the meter, and according to the different data read, it performs corresponding detection to judge whether the data is correct or not. For example, a simple test judgement is to read the active energy of the meter. The meter reports the meter reading. The readings read each month should be greater than or equal to the readings of the previous month. If not, the data is considered to be wrong.
  • the AMI system will read the hour data of the meter, freeze the data on the day, freeze the data in the month, and the AMI system reads the corresponding data from the smart meter. This may happen some time, or a certain read failure. If the missing data is all processed manually, it consumes a lot of manpower, that is, provides an estimable way to complete the filling of missing data. For example, in a simple case, one day (referred to as A day) reading data for 24 hours, the power reading is missing an hour of reading. In this way, based on the daily freeze data of the read A day, the reading of the hour can be calculated and filled in to the data storage.
  • the embodiment of the invention provides a data detection and correction system implementation based on the AMI system. Through this system, it is possible to detect, estimate, and edit the data read from the meter to ensure the correctness of the system data.
  • FIG. 7 is a schematic diagram of a VEE policy group and an action according to an embodiment of the present invention. As shown in FIG. 7, the system is composed of a policy analysis module, a management module, and an execution module.
  • the system administrator configures the VEE group in the management module of the AMI system.
  • the AMI system can configure a single or multiple VEE groups, each VEE group containing a single or multiple smart meters, and setting the area to which each meter is located.
  • the policy analysis module implements a policy analysis of the data reported by the terminal.
  • Each VEE strategy includes attributes of multiple meter sets, including but not limited to, phase A voltage, phase B voltage, phase C voltage, phase A current, phase B current, phase C current, frequency, total active power, A.
  • FIG. 8 is a schematic diagram of a VEE detecting operation according to an embodiment of the present invention. As shown in FIG. 8, the detecting action is composed of the following:
  • Range detection Check the boundary value of the configuration attribute to check whether the reported data reaches or exceeds the limit value. If it exceeds, it is considered as an error. For example, if the voltage is reported as 0, then an error should be considered.
  • Constant value interval When a meter continuously reads data, a certain item of data remains unchanged, for example, it is always read as 0. After the value is still read after a certain configuration time, the error is displayed to the administrator. .
  • Hours, days, and months data comparison For the hourly frozen data read by the meter, the data is frozen on the day, and the data is frozen in the month.
  • the AMI system performs verification.
  • the 24-hour frozen data sum should be equal to the daily freeze data.
  • the monthly daily freeze data sum should be equal to the frozen data of the current month. And for the month to freeze the data. Even if the collection is copied multiple times within one month, it should be the same value each time.
  • Comparison of successive data For the data read from the meter, compare the two readings, and judge that the data coming back is greater than or equal to the data read before. For example, for the number of active degrees, the reading after reading should be greater than or equal to For the previous reading, when the conditional action is not met, the data is considered to have an error.
  • FIG. 9 is a schematic diagram of the VEE evaluation action according to an embodiment of the present invention. As shown in FIG. 9, the evaluation action is composed as follows.
  • the missing value is filled in with a fixed value: that is, the partial missing value is filled in, for example, the voltage does not change under normal conditions, and if it is missing, it can be replaced by a fixed value.
  • VEE management is performed in the management module.
  • FIG. 10 is a diagram of a VEE administrator authority according to an embodiment of the present invention, which is explained below with respect to FIG.
  • the VEE operation administrator role has two characteristics: zone and authority.
  • the VEE operation administrator is for the VEE acquisition number. According to the person who handled it. For each processing capability, the corresponding area and permissions are required to be processed. When an administrator's area is A (the area can make a region, or a collection of VIP high-end customers, for a meter, it only belongs to one area), he can't handle the smart meter in the B area. For the privilege divided into blank meter (the meter that did not belong to any area before) is added to the VEE group, the area meter is added to the VEE group, VEE policy configuration, meter data reading, failure editing, and estimation editing.
  • FIG. 11 is a flow chart of VEE simple message processing according to an embodiment of the present invention. As shown in FIG. 11, the process includes the following steps:
  • Step S1102 Acquire data of the set copy
  • Step S1104 it is determined whether the electric meter matches, and if the determination result is yes, step S1106 is performed;
  • Step S1110 writing data that fails to be detected into the data storage
  • Step S1112 it is determined whether the data detection evaluation action of the detection failure is matched, and if the determination result is yes, step S1114 is performed;
  • Step S1116 writing the estimated data into the data storage
  • step S1118 the administrator performs corresponding operations on the meter having the area and the authority.
  • the following is described in conjunction with a specific embodiment:
  • An administrator M1 has a permission blank meter added to the VEE group, the area meter is added to the VEE group, the VEE policy is configured, the meter is read, and the failure is edited.
  • M1 creates VEE group V1 and configures detection actions and estimation actions.
  • M1 adds a blank meter METER1 to V1 and manages it in the management module.
  • METER1 When METER1 has data to be copied, enter the strategy analysis module, query the VEE group, query to belong to V1, match the VEE detection action corresponding to V1, see if the detection action is satisfied, and satisfy the corresponding processing. At the same time, the VEE estimation actions are matched, and the matching conditions are satisfied.
  • M1 can edit the test failure data and the estimated fill data.
  • the embodiment of the present invention provides an analysis and correction system for various types of data collected for power AMI, and the legality of the collected data in the meter information management system is incorrect, and the user collects the power.
  • the data is intelligently analyzed and corrected, avoiding billing and data analysis errors, reducing the interference of various types of erroneous data, improving the accuracy of the system, estimating the history of correction omissions, erroneous data, and providing the administrator with the authority to edit data. , let the entire system automatically detect errors, and after missing data, run in a normal state. Achieve more accurate and reasonable AMI data detection and correction.
  • a storage medium is further provided, wherein the software includes the above-mentioned software, including but not limited to: an optical disk, a floppy disk, a hard disk, an erasable memory, and the like.
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.
  • data is acquired from the electricity meter of the collection system AMI; the predetermined detection action corresponding to the data is acquired; and the data is detected to be correct according to the predetermined detection action.
  • the invention solves the problem that the data collected by the AMI cannot be effectively detected and corrected in the related art, thereby realizing the detection, estimation and editing of the data read from the electric meter, and ensuring the correctness of the system data.

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Abstract

本发明提供了一种数据处理方法及装置，其中，该方法包括：从集抄系统AMI的电表中获取数据；获取数据对应的预定检测动作；根据预定检测动作，检测数据是否正确。通过本发明解决了相关技术中无法对AMI采集的数据进行有效的检测和校正的问题，进而实现了对从电表读取来的数据进行检测，估算，编辑，保证了系统数据的正确性。

Description

数据处理方法及装置 技术领域
本发明涉及通信领域，具体而言，涉及一种数据处理方法及装置。
背景技术
在过去的几年中，智能电表集抄技术快速发展，集抄系统(advanced metering infrastructure，简称为AMI)变得越来越普遍，在各个电力行业的公司都得到了大规模的应用。由于电网的通讯环境复杂多变，电表的工作环境恶劣，信号传输的可靠性差，导致数据的采集准确性，传输的可靠性都受到较大的冲击，从而在AMI智能电表集抄系统所获得的海量终端数据，或多或少存在一些不确定性和不准确性。
目前对于AMI集抄数据的分析与校正，主要有以下几种方法：
(1)人工检查及人工复查：由人工将从各个电表采集上来的进行检查分析，发现有跳变，异常的数据，人工进行修正。这种方法造成需要投入大量人力处理，费时费力。
(2)异常忽略：对于采集到的异常数据，采用忽略法，直接跳过。这种方法比较简单，但各种分析数据，增量数据都会出现缺失现象。
(3)固定插值法：策略固定，按照一定的计算规则插值计算。
以上这些方法，都有很大的缺点，就是人力成本高，或者对异常数据的处理策略是固定的，无法根据不同的情况进行适应性的变化。例如对于电表止数，如果出现异常，无法引入近期的天气、其他用户的用电量因数等数据，进行综合的智能修正。
针对相关技术中，无法对AMI采集的数据进行有效的检测和校正的问题，还未提出有效的解决方案。
发明内容
本发明实施例提供了一种数据处理方法及装置，以至少解决相关技术中无法对AMI采集的数据进行有效的检测和校正的问题。
根据本发明实施例的一个方面，提供了一种数据处理方法，包括：从集抄系统AMI的电表中获取数据；获取上述数据对应的预定检测动作；根据上述预定检测动作，检测上述数据是否正确。
可选地，还包括：在上述数据中缺少指定数据的情况下，获取上述指定数据对应的预定估算动作；根据上述预定估算动作对上述指定数据进行估算。
可选地，获取上述预定检测动作或者上述预定估算动作包括：从预先配置的校正(Validation,Estimation and Editing，简称为VEE)组中获取上述预定检测动作或者上述预定估算动作；其中，上述预先配置的校正VEE组为上述电表所属的校正VEE组。
可选地，根据上述预定检测动作，检测上述数据是否正确包括：判断上述数据的取值是否属于预定取值范围，在判断结果为是的情况下，上述数据为正确值，在判断结果为否的情况下，上述数据为错误值；或者，在上述数据包含小时冻结数据、日冻结数据和月冻结数据中至少之二时，根据上述数据中包含的两种或者三种数据判断上述数据是否正确。
可选地，根据上述预定估算动作对上述指定数据进行估算包括：根据固定值估算上述指定数据；或者，根据与上述指定数据对应的最后一次有效值，估算上述指定数据；或者，根据上述指定数据的前一个数据和上述指定数据的后一个数据，估算上述指定数据；或者，根据上述数据中包含的第一数据与第二数据的差值，估算上述指定数据。
可选地，根据上述预定检测动作，检测上述数据是否正确之后包括：对于检测结果为错误的数据进行编辑；和/或，根据上述预定估算动作对上述指定数据进行估算之后包括：根据估算结果对上述指定数据进行编辑。
根据本发明实施例的另一个方面，还提供了一种数据处理装置，上述装置包括：第一获取模块，被设置为从集抄系统AMI的电表中获取数据；第二获取模块，被设置为获取上述数据对应的预定检测动作；检测模块，被设置为根据上述预定检测动作，检测上述数据是否正确。
可选地，上述装置还包括：第三获取模块，被设置为在上述数据中缺少指定数据的情况下，获取上述指定数据对应的预定估算动作；估算模块，被设置为根据上述预定估算动作对上述指定数据进行估算。
可选地，上述第二获取模块还被设置为从预先配置的校正VEE组中获取上述预定检测动作；或者上述第三获取模块还被设置为从预先配置的校正VEE组中获取上述预定估算动作；其中，上述预先配置的校正VEE组为上述电表所属的校正VEE组。
可选地，上述检测模块还包括：第一检测单元，被设置为判断上述数据的取值是否属于预定取值范围，在判断结果为是的情况下，上述数据为正确值，在判断结果为否的情况下，上述数据为错误值；或者，第二检测单元，被设置为在上述数据包含小时冻结数据、日冻结数据和月冻结数据中至少之二时，根据上述数据中包含的两种或者三种数据判断上述数据是否正确。
可选地，上述估算模块还包括：第一估算单元，被设置为根据固定值估算上述指定数据；或者，第二估算单元，被设置为根据与上述指定数据对应的最后一次有效值，估算上述指定数据；或者，第三估算单元，被设置为根据上述指定数据的前一个数据和上述指定数据的后一个数据，估算上述指定数据；或者，第四估算单元，被设置为根据上述数据中包含的第一数据与第二数据的差值，估算上述指定数据。
可选地，上述装置还包括：第一编辑模块，被设置为对于检测结果为错误的数据进行编辑；和/或，第二编辑模块，被设置为根据估算结果对上述指定数据进行编辑。
通过本发明实施例，采用从集抄系统AMI的电表中获取数据；获取数据对应的预定检测动作；根据预定检测动作，检测数据是否正确。解决了相关技术中无法对AMI采集的数据进行有效的检测和校正的问题，进而实现了对从电表读取来的数据进行检测，估算，编辑，保证了系统数据的正确性。
附图说明
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的数据处理方法的流程图；
图2是根据本发明实施例的数据处理装置的结构框图；
图3是根据本发明实施例的数据处理装置的结构框图(一)；
图4是根据本发明实施例的数据处理装置的结构框图(二)；
图5是根据本发明实施例的数据处理装置的结构框图(三)；
图6是根据本发明实施例的数据处理装置的结构框图(四)；
图7是根据本发明实施例的VEE策略组和动作示意图；
图8是根据本发明实施例的VEE检测动作示意图；
图9是根据本发明实施例的VEE评估动作示意图；
图10是根据本发明实施例的VEE管理员权限图；
图11是根据本发明实施例的VEE简单消息处理流程图。
具体实施方式
下文中将参考附图并结合实施例来详细说明本发明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
在本实施例中提供了一种数据处理方法，图1是根据本发明实施例的数据处理方法的流程图，如图1所示，该流程包括如下步骤：
步骤S102，从集抄系统AMI的电表中获取数据；
步骤S104，获取上述数据对应的预定检测动作；
步骤S106，根据预定检测动作，检测上述数据是否正确。
通过上述步骤，根据从集抄系统AMI的电表中获取的数据所对应的预定检测动作，对上述数据进行检测，根据检测结果对上述数据的正确性进行判断，相比于相关技术中，通过人工检查、异常忽略或者固定差值对AMI集抄数据进行分析与校正导致人力成本高，或者对异常数据的处理策略是固定的，无法根据不同的情况进行适应性的变化，上述步骤解决了相关技术中无法对AMI采集的数据进行有效的检测和校正的问题，进而实现了对从电表读取来的数据进行检测，估算，编辑，保证了系统数据的正确性。
在一个可选实施例中，在上述数据中缺少指定数据的情况下，获取该指定数据对应的预定估算动作，根据预定估算动作对指定数据进行估算。从而后续可以对缺少的指定数据进行补充。
上述步骤S104涉及获取预定检测动作，需要说明的是，可以通过多种方式获取预定检测动作，下面对此进行举例说明。在一个可选实施例中，从预先配置的校正VEE组中获取预定检测动作，其中，预先配置的校正VEE组为上述电表所属的校正VEE组。
上述步骤还涉及到获取预定估算动作，需要说明的是，可以通过多种方式获取预定检测动作，下面对此进行举例说明。在一个可选实施例中，从预先配置的校正VEE组中获取预定估算动作；其中，预先配置的校正VEE组为上述电表所属的校正VEE组。
上述步骤S106涉及到根据预定检测动作，检测上述数据是否正确。在一个可选实施例中，判断上述数据的取值是否属于预定取值范围，在判断结果为是的情况下，上述数据为正确值，在判断结果为否的情况下，上述数据为错误值。在另一个可选实施例中，在上述数据包含小时冻结数据、日冻结数据和月冻结数据中至少之二时，根据上述数据中包含的两种或者三种数据判断上述数据是否正确。从而得到了上述数据正确与否的检测结果。
上述步骤中还涉及到根据预定估算动作对指定数据进行估算，需要说明的是，根据预定估算动作对指定数据进行估算的方式可以有很多种，下面对此进行举例说明。在一个可选实施例中，可以根据固定值估算指定数据。在另一个可选实施例中，可以根据与指定数据对应的最后一次有效值，估算指定数据，例如：对于缺失部分的值，采用最后一次有效的值填写。对于部分数据有效，例如日冻结的有功度数，缺失情况下，可采用该方法完成。在再一个可选实施例中，可以根据指定数据的前一个数据和该指定数据的后一个数据，估算指定数据，例如：根据前后一次数据取法，对于集抄的缺失点的能量值设置为E，缺失时间为T。取缺失点的前一次成功数据P1，对应能量值为Ep1,时间为Tp1.取缺失点后一次成功的数据P2，对应能量值为Ep2,时间为Tp2.缺失点的能量值由如下公式得出E＝Ep1+(Ep2-Ep1)(T-Tp1)/(Tp2-Tp1)。或者，在再一个可选实施例中，还可以根据上述数据中包含的第一数据与第二数据的差值，估算指定数据，例如：根据相近级别能量值数据进行计算，假设缺失集抄点的能量值缺失为E，时间为T日缺失。当得到月能量值数据后，进行差额计算，可以得出当日E值。求和日冻结E＝月冻结E。也可以根据求和E小时冻结＝E日冻结。
对AMI集抄数据进行分析的目的在于对错误的数据或者缺少的数据进行校正。在一个可 选实施例中，在根据预定检测动作，检测所述数据是否正确之后，对于检测结果为错误的数据进行编辑。在另一个可选实施例中，根据预定估算动作对该指定数据进行估算之后，根据估算结果对指定数据进行编辑。从而保证AMI集抄数据的正确性。
在本实施例中还提供了一种数据处理装置，该装置用于实现上述实施例及优选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
图2是根据本发明实施例的数据处理装置的结构框图，如图2所示，该装置包括：第一获取模块22，被设置为从集抄系统AMI的电表中获取数据；第二获取模块24，被设置为获取该数据对应的预定检测动作；检测模块26，被设置为根据预定检测动作，检测该数据是否正确。
图3是根据本发明实施例的数据处理装置的结构框图(一)，如图3所示，该装置除包括图2所示的所有模块外，还包括：第三获取模块32，被设置为在该数据中缺少指定数据的情况下，获取指定数据对应的预定估算动作；估算模块34，被设置为根据预定估算动作对指定数据进行估算。
可选地，第二获取模块24还被设置为从预先配置的校正VEE组中获取预定检测动作；或者第三获取模块32还被设置为从预先配置的校正VEE组中获取该预定估算动作；其中，预先配置的校正VEE组为电表所属的校正VEE组。
图4是根据本发明实施例的数据处理装置的结构框图(二)，如图4所示，检测模块26还包括：第一检测单元262，被设置为判断该数据的取值是否属于预定取值范围，在判断结果为是的情况下，该数据为正确值，在判断结果为否的情况下，该数据为错误值；或者，第二检测单元264，被设置为在该数据包含小时冻结数据、日冻结数据和月冻结数据中至少之二时，根据该数据中包含的两种或者三种数据判断该数据是否正确。
图5是根据本发明实施例的数据处理装置的结构框图(三)，估算模块34还包括：第一估算单元342，被设置为根据固定值估算指定数据；或者，第二估算单元344，被设置为根据与该指定数据对应的最后一次有效值，估算指定数据；或者，第三估算单元346，被设置为根据该指定数据的前一个数据和该指定数据的后一个数据，估算指定数据；或者，第四估算单元348，被设置为根据该数据中包含的第一数据与第二数据的差值，估算指定数据。
图6是根据本发明实施例的数据处理装置的结构框图(四)，如图6所示，该装置还包括：第一编辑模块62，被设置为对于检测结果为错误的数据进行编辑；和/或，第二编辑模块64，被设置为根据估算结果对该指定数据进行编辑。
需要说明的是，上述各个模块是可以通过软件或硬件来实现的，对于后者，可以通过以下方式实现，但不限于此：上述各个模块均位于同一处理器中；或者，上述各个模块分别位于第一处理器、第二处理器和第三处理器…中。
针对相关技术中存在的上述问题，下面结合具体的可选实施例进行说明。
AMI主要由智能电表(Smart Meter)、通讯系统与设备、电表信息管理系统(Meter Database Management system，简称为MDMS)所组成。
智能电表是当今全球的趋势，所以本发明实施例随着智能电表的越来越多的市场运用，要求更好的智能化的今天，有着很好的市场前景。
本发明实施例的目的是提供一种基于AMI的数据检测，估算，编辑功能系统。
本发明实施例所述的在功能的检测，估算，编辑功能描述如下：
(1)检测：AMI系统从电表读取了数据，会根据读取的不同数据，进行相应的检测来判断数据的正确与否。例如一个简单的检测判定就是对电表有功电度读取，电表上报的是电表读数，每个月读取的读数，应该大于等于上个月的读数，如果不是就认为数据是有错误的。
(2)估算：AMI系统会读取电表的小时数据，日冻结数据，月冻结数据,AMI系统都从智能电表上读取相应的数据。这样可能就会出现某个时间，或者某次读取失败的情况。如果缺失数据全部都进行人力每个处理，消耗人力巨大，即提供一种可估算的方式来完成缺失数据的填写。例如一个简单的情况就是，某天(简称A天)24小时读取数据有功度读数缺失了某个小时的读数。这样就可以根据读取到的A天的日冻结数据，计算出该小时的读数，进行填写到数据存储。
(3)编辑：AMI系统的管理员直接对存储的数据进行人工干预修改，管理员将数据在存储修改后，直接进行展示出来。例如对于某些不支持集抄的表需要人工完成读取升级的表，就采用人工方式进行更正。
本发明实施例所提出了一种基于AMI系统的数据检测与校正系统实现。通过这个系统，可以检测，估算，编辑从电表读取来的数据，保证系统数据的正确性。
图7是根据本发明实施例的VEE策略组和动作示意图，如图7所示，系统由策略分析模块，管理模块，执行模块组成。
本发明的提出的技术实现，是按以下步骤实现的：
a.系统管理员在AMI系统的管理模块进行配置VEE群组。
AMI系统可以配置单个或者多个VEE群组，每个VEE群组包含单个或者多个智能电表，同时对每个电表设置所属区域。
b.策略分析模块实现对终端上报数据的策略分析。每个VEE策略包括多个电表集抄数据的属性，属性包括不限于，A相电压，B相电压，C相电压，A相电流，B相电流，C相电流,频率，总有功功率，A相有功功率，B相有功功率，C相有功功率，总无功功率，A相无功功率，B相无功功率，C相无功功率,总视在功率，A相视在功率,B相视在功率，C相视在功率,总功率因数，A相功率因数，B相功率因数，C相功率因数,正向有功总能量，反向有功总能 量,正向无功总能量，反向无功总能量，第一象限无功总电能,第二象限无功总电能，第三象限无功总电能，第四象限无功总电能,当前有功需量，当前无功需量，当前视在需量。
c、执行模块按照VEE定义的动作为对检测的属性配置对应的动作执行。图8是根据本发明实施例的VEE检测动作示意图，如图8所示，检测动作由如下组成：
1、范围检测：对配置属性的边界值进行检测，查看上报数据是否达到或者超出限制值，超出则认为是错误。例如电压，上报如果为0，则应该认为出现了错误。
2、恒定值间隔：当某个电表持续读取数据，某项数据一直不变，例如一直读取为0.超出一定配置时间仍然读取的值恒定不变后，产生该错误展示给管理员。
3、小时日月数据对比：对于电表读取的小时冻结数据，日冻结数据，月冻结数据。AMI系统进行校验，24小时冻结数据相加应该等于日冻结数据，每月的日冻结数据相加应该等于当月的冻结数据。而对于月冻结数据。一个月内从电表即使集抄多次，应该每次都是相同的值。
4、先后数据对比：对于从电表读取的数据，对比两次读取量，判断后面来的数据大于等于前面读取到的数据，例如对于有功度数，后读取的读数，应该是大于等于前一次读数的，当不满足该条件动作的时候，则认为数据发生了错误。
d、VEE动作对估算的属性配置对应的动作，图9是根据本发明实施例的VEE评估动作示意图，如图9所示，评估动作由如下组成。
1、缺失值填写固定值：即对部分缺失值填写固定，例如电压正常情况下不会变化，如果缺失，可用固定值代替。
2、使用最后一次有效值：对于缺失部分的值，采用最后一次有效的值填写。对于部分数据有效，例如日冻结的有功度数，缺失情况下，可采用该方法完成。
3、均衡间隔时间写入值：根据前后一次数据取法，对于集抄的缺失点的能量值设置为E，缺失时间为T。取缺失点的前一次成功数据P1，对应能量值为Ep1,时间为Tp1。取缺失点后一次成功的数据P2，对应能量值为Ep2,时间为Tp2。缺失点的能量值由如下公式得出E＝Ep1+(Ep2-Ep1)(T-Tp1)/(Tp2-Tp1)。
4、填补差值法：根据相近级别能量值数据进行计算，假设缺失集抄点的能量值缺失为E，时间为T日缺失。当得到月能量值数据后，进行差额计算，可以得出当日E值。求和日冻结E＝月冻结E。也可以根据求和E小时冻结＝E日冻结。所以当缺失单一单位时间点时，可以根据前后相近一级级别得出。
e、VEE的管理在管理模块中执行。
图10是根据本发明实施例的VEE管理员权限图，下面针对图10进行解释。
VEE的操作管理员角色具有区域和权限两种特性，VEE操作管理员是针对VEE采集后数 据进行处理的人员。对每一项处理能力，需要对应区域和权限才能处理。当一个管理员所在区域为A时(区域可以使一个地区，也可以是一部分VIP高端客户的集合，对于一个电表，只会属于一个区域)，他无法对B区域的智能电表处理。对于权限分为空白电表(此前不属于任何区域的电表)添加到VEE组，区域电表添加到VEE组，VEE策略配置，电表数据读取，失败编辑，估算编辑。也是需要具有相应权限才能处理，例如一个管理员有失败编辑权限，无估算编辑权限。那么对于数据存储中的数据，属于失败的数据才能编辑，对于估算填写的则无法编辑。同样一个具有区域电表添加权限的管理员，假设只具有区域A的添加权限，那么他无法对区域B的电表添加到任何VEE属性。
f、一个VEE流程。
图11是根据本发明实施例的VEE简单消息处理流程图，如图11所示，该流程包括如下步骤：
步骤S1102，获取集抄数据；
步骤S1104，判断电表是否匹配，在判断结果为是的情况下，执行步骤S1106；
步骤S1106，匹配对应的检测策略；
步骤S1108，对数据进行检测；
步骤S1110，将检测失败的数据写入到数据存储器中；
步骤S1112，判断检测失败的数据检测评估动作是否匹配，在判断结果为是的情况下，执行步骤S1114；
步骤S1114，进行匹配估算；
步骤S1116，将估算数据写入到数据存储器中；
步骤S1118，管理员对具有区域和权限的电表进行相应的操作。下面结合一个具体实施例进行说明：
1、一个管理员M1具有权限空白电表添加到VEE组，区域电表添加到VEE组，VEE策略配置，电表读取，失败编辑。
2、M1创建VEE组V1，配置检测动作和估算动作。
3、M1将一个空白电表METER1添加到V1，在管理模块中进行管理。
4、当METER1有数据抄送上来的时候，进入策略分析模块，进行查询VEE组，查询到属于V1，匹配V1所对应的VEE检测动作，看是否满足检测动作，满足则做相应处理。同时对VEE估算动作进行匹配，满足匹配条件做对应处理。
5、M1对于检测失败数据和估算填写数据可进行编辑。
综上所述，通过本发明实施例提供了专门用于电力AMI的各类采集数据进行分析校正系统，在电表信息管理系统的进行的检测采集数据的合法性，是否错误，用户对采集的电力数据进行智能分析和纠正，避免了出现计费、数据分析差错，减少了各类错误数据的干扰，提升了系统的准确度，估算矫正遗漏的历史，错误数据，提供给管理员编辑数据的权限，让整个系统自动检测的出错，遗漏的数据后，运行在正常的状态下。实现了更为准确合理的AMI数据检测与校正。
在另外一个实施例中，还提供了一种软件，该软件用于执行上述实施例及优选实施方式中描述的技术方案。
在另外一个实施例中，还提供了一种存储介质，该存储介质中存储有上述软件，该存储介质包括但不限于：光盘、软盘、硬盘、可擦写存储器等。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
工业实用性
在本发明实施例中，采用从集抄系统AMI的电表中获取数据；获取数据对应的预定检测动作；根据预定检测动作，检测数据是否正确。解决了相关技术中无法对AMI采集的数据进行有效的检测和校正的问题，进而实现了对从电表读取来的数据进行检测，估算，编辑，保证了系统数据的正确性。

Claims (12)

  1. 一种数据处理方法，包括：
    从集抄系统AMI的电表中获取数据；
    获取所述数据对应的预定检测动作；
    根据所述预定检测动作，检测所述数据是否正确。
  2. 根据权利要求1所述的方法，其中，还包括：
    在所述数据中缺少指定数据的情况下，获取所述指定数据对应的预定估算动作；
    根据所述预定估算动作对所述指定数据进行估算。
  3. 根据权利要求1或者2所述的方法，其中，获取所述预定检测动作或者所述预定估算动作包括：
    从预先配置的校正VEE组中获取所述预定检测动作或者所述预定估算动作；其中，所述预先配置的校正VEE组为所述电表所属的校正VEE组。
  4. 根据权利要求1所述的方法，其中，根据所述预定检测动作，检测所述数据是否正确包括：
    判断所述数据的取值是否属于预定取值范围，在判断结果为是的情况下，所述数据为正确值，在判断结果为否的情况下，所述数据为错误值；或者，
    在所述数据包含小时冻结数据、日冻结数据和月冻结数据中至少之二时，根据所述数据中包含的两种或者三种数据判断所述数据是否正确。
  5. 根据权利要求2所述的方法，其中，根据所述预定估算动作对所述指定数据进行估算包括：
    根据固定值估算所述指定数据；或者，
    根据与所述指定数据对应的最后一次有效值，估算所述指定数据；或者，
    根据所述指定数据的前一个数据和所述指定数据的后一个数据，估算所述指定数据；或者，
    根据所述数据中包含的第一数据与第二数据的差值，估算所述指定数据。
  6. 根据权利要求1或者2所述的方法，其中，根据所述预定检测动作，检测所述数据是否正确之后包括：对于检测结果为错误的数据进行编辑；和/或，根据所述预定估算动作对所述指定数据进行估算之后包括：根据估算结果对所述指定数据进行编辑。
  7. 一种数据处理装置，所述装置包括：
    第一获取模块，被设置为从集抄系统AMI的电表中获取数据；
    第二获取模块，被设置为获取所述数据对应的预定检测动作；
    检测模块，被设置为根据所述预定检测动作，检测所述数据是否正确。
  8. 根据权利要求7所述的装置，其中，所述装置还包括：
    第三获取模块，被设置为在所述数据中缺少指定数据的情况下，获取所述指定数据对应的预定估算动作；
    估算模块，被设置为根据所述预定估算动作对所述指定数据进行估算。
  9. 根据权利要求7或者8所述的装置，其中，所述第二获取模块还被设置为从预先配置的校正VEE组中获取所述预定检测动作；或者所述第三获取模块还被设置为从预先配置的校正VEE组中获取所述预定估算动作；其中，所述预先配置的校正VEE组为所述电表所属的校正VEE组。
  10. 根据权利要求7所述的装置，其中，所述检测模块还包括：
    第一检测单元，被设置为判断所述数据的取值是否属于预定取值范围，在判断结果为是的情况下，所述数据为正确值，在判断结果为否的情况下，所述数据为错误值；或者，
    第二检测单元，被设置为在所述数据包含小时冻结数据、日冻结数据和月冻结数据中至少之二时，根据所述数据中包含的两种或者三种数据判断所述数据是否正确。
  11. 根据权利要求8所述的装置，其中，所述估算模块还包括：
    第一估算单元，被设置为根据固定值估算所述指定数据；或者，
    第二估算单元，被设置为根据与所述指定数据对应的最后一次有效值，估算所述指定数据；或者，
    第三估算单元，被设置为根据所述指定数据的前一个数据和所述指定数据的后一个数据，估算所述指定数据；或者，
    第四估算单元，被设置为根据所述数据中包含的第一数据与第二数据的差值，估算所述指定数据。
  12. 根据权利要求7或者8所述的装置，其中，所述装置还包括：第一编辑模块，被设置为对于检测结果为错误的数据进行编辑；和/或，第二编辑模块，被设置为根据估算结果对所述指定数据进行编辑。
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