Electric power data checking and analyzing method and system

Abstract

The invention provides an electric power data checking analysis method and system, and belongs to the technical field of data checking, and the method specifically comprises the steps: determining the associated electric power data of the electric power data of an electric power data group based on the analysis condition of the electric power data of the electric power data group, when it is determined that the verification processing reliability of the power data group meets the requirement through the historical deviation condition of the associated power data, the associated service type of the power data of the power data group is obtained, and the verification reliability of the power data group and the data deviation coefficient are combined; and correcting the basic checking processing period to obtain the checking processing period of the power data group, and checking the power data of the power data group by using the checking processing period, so that the timeliness of checking processing is improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of data verification, and particularly relates to a power data verification analysis method and system. BACKGROUND

[0002] In order to meet the reliability of the power grid resource business station, it is necessary to realize the same source input and unified management of various professional power grid resource data such as power generation, transmission, transformation, distribution and use, and to improve the service and basic data support capability.

[0003] In order to realize the data verification processing of the power grid resource business station, in the invention patent application CN202011227556.6 "Incremental data verification method based on data middle station", the comparison between the verification results of the source table record number and the middle station pasting source layer full table record number is used to ensure that the parsed daily incremental data is real and effective, but the following technical problems exist: Different professional power data has certain correlation, so when the power data verification analysis is carried out, if the correlation of different professional power data is ignored, the accuracy of the verification analysis result cannot be guaranteed.

[0004] In view of the above technical problems, the present application provides a power data verification analysis method and system. SUMMARY

[0005] In order to achieve the purpose of the present application, the present application adopts the following technical solutions: In order to solve the above technical problems, the present application provides to achieve the purpose of the present application, the present application adopts the following technical solutions: According to one aspect of the present application, a power data verification analysis method is provided.

[0006] A power data verification analysis method, specifically comprising: S1 dividing the power data into different power data groups according to the type of the power data, and determining the basic verification processing period of the power data group according to the change of the power data in the power data group; S2 obtaining the historical deviation situation of the power data of the power data group, and determining the data deviation coefficient of the power data group based on the historical deviation situation; S3 when the data deviation coefficient of the power data group does not meet the requirement, determining the associated power data of the power data of the power data group based on the analysis situation of the power data of the power data group; When S4 determines that the verification processing reliability of the power data group meets the requirements through the historical deviation of the associated power data, the associated business type of the power data of the power data group is obtained, and combined with the verification reliability and data deviation coefficient of the power data group, the basic verification processing cycle is corrected to obtain the verification processing cycle of the power data group, and the power data of the power data group is verified and processed using the verification processing cycle.

[0007] The beneficial effects of the present invention are: Based on the historical deviation situation, it is determined whether the data deviation coefficient of the power data group meets the requirements, thereby realizing the determination of the data deviation coefficient of the power data group from the perspective of the deviation situation of the historical data of the power data in the power data group, ensuring the accuracy of the evaluation of the data deviation coefficient of the power data group, and laying the foundation for determining the verification and processing strategies for different power data groups according to the differences in data deviation situations, which not only ensures the efficiency of the verification and processing, but also ensures the accuracy of the verification and processing.

[0008] Based on the associated business types, verification reliability and data deviation coefficient of the power data group, the basic verification processing cycle is corrected to obtain the verification processing cycle of the power data group, thereby realizing differentiated determination of the verification processing cycles of different power data groups. On the basis of ensuring the efficiency of verification processing, timely verification and processing of power data groups with many associated business types, poor verification reliability and data deviations is realized, thereby improving the accuracy and timeliness of verification processing.

[0009] A further technical solution is that the types of power data include power load data, power generation data, grid parameter data, equipment status data and power billing data.

[0010] A further technical solution is that the change of the power data includes the amount of new data of the power data group on different dates.

[0011] A further technical solution is that the method for determining the basic verification processing cycle of the power data group is: determining, based on changes in the power data in the power data group, an amount of newly added data in the power data group on different dates; An average value of the newly added data on different dates is calculated based on the newly added data on different dates, and a basic checking processing cycle of the power data group is determined using the average value of the newly added data.

[0012] A further technical solution is that the method for determining the verification processing cycle of the power data group is: determine a number of associated business types of the power data group according to the associated business types of the power data of the power data group, and determine a business association coefficient of the power data group based on the number of associated business types; determine a period correction coefficient of the power data group based on the business association coefficient, the verification reliability and the data deviation coefficient; correct the basic verification processing period by the period correction coefficient to obtain a verification processing period of the power data group.

[0013] Further technical solutions are that the period correction coefficient of the power data group is determined according to a ratio of a product of the business association coefficient and the data deviation coefficient to the verification reliability.

[0014] Further technical solutions are that the verification processing period of the power data group is determined according to a product of the period correction coefficient and the basic verification processing period.

[0015] Further technical solutions are that the power data of the power data group is verified by using the verification processing period, and specifically includes: verify the power data of the power data group based on the verification processing period.

[0016] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the power data verification analysis method.

[0017] Other features and advantages will be set forth in the following description of the application, and in part will become apparent to those skilled in the art upon examination of the following or can be learned by practice of the application. The objects and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

[0018] In order to make the above objectives, features and advantages of the present application more apparent, the following will describe a preferred embodiment in detail, and the accompanying drawings will be referred to, and the detailed description will be as follows. BRIEF DESCRIPTION OF DRAWINGS

[0019] The above and other features and advantages of the present application will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0020] Figure 1 is a flowchart of a power data verification analysis method; Figure 2 is a flowchart of a method for determining a basic verification processing period of a power data group; Figure 3 is a flow chart of a method for determining a data deviation coefficient of a power data group; Figure 4 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0021] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the figures represent like or similar structures, and thus their detailed description will be omitted.

[0022] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0023] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a method for verifying and analyzing power data is provided, which specifically includes: S1: dividing the power data into different power data groups according to the type of the power data, and determining the basic verification processing cycle of the power data group according to the change of the power data in the power data group; S2: obtaining historical deviations of the power data of the power data group, and determining a data deviation coefficient of the power data group based on the historical deviations; S3: when the data deviation coefficient of the power data group does not meet the requirement, determining the associated power data of the power data group based on the analysis of the power data of the power data group; When S4 determines that the verification processing reliability of the power data group meets the requirements through the historical deviation of the associated power data, the associated business type of the power data of the power data group is obtained, and combined with the verification reliability and data deviation coefficient of the power data group, the basic verification processing cycle is corrected to obtain the verification processing cycle of the power data group, and the power data of the power data group is verified and processed using the verification processing cycle.

[0024] Furthermore, the types of power data include power load data, power generation data, grid parameter data, equipment status data and power billing data.

[0025] Specifically, the variation of the power data includes an amount of newly added data of the power data in the power data group on different dates.

[0026] It should be noted that, as Figure 2 indicated, the method for determining the basic verification processing period of the power data group is: determining an amount of newly added data of the power data group on different dates according to the variation of the power data in the power data group; averaging the amount of newly added data on different dates, and determining the basic verification processing period of the power data group by using the average of the amount of newly added data.

[0027] It should be noted that, the basic verification processing period of the power data group is determined according to the average of the amount of newly added data, and a preset processing period is determined according to the average of the amount of newly added data in one possible embodiment. In one possible embodiment, a mathematical model based on the analytic hierarchy process is used to determine the preset processing period according to the average of the amount of newly added data.

[0028] Further, the historical deviation of the power data is determined according to the dates with data deviation and the amount of deviation data on the dates with data deviation.

[0029] Specifically, as Figure 3 indicated, the method for determining the data deviation coefficient of the power data group is: determining the dates with data deviation of the power data group based on the historical deviation, and taking the dates as the data deviation dates; determining the data deviation coefficient of the power data group according to the proportion of the number of the data deviation dates.

[0030] Further, the data deviation coefficient of the power data group is in a range of 0 to 1, and when the data deviation coefficient of the power data group is greater than a preset deviation coefficient threshold, it is determined that the data deviation coefficient of the power data group does not meet the requirement.

[0031] In addition, it should be noted that, when the data deviation coefficient of the power data group meets the requirement, the verification processing period of the power data group is determined based on the basic verification processing period.

[0032] Further, the associated power data of the power data in the power data group is determined according to the power data associated with the power data in the power data group.

[0033] Specifically, the method for determining the verification processing reliability of the power data group is: According to the type of the associated power data, the associated power data is divided into different associated data groups; According to the number of associated data groups with data bias in different dates, a date with data bias is determined as an associated data bias date; According to the proportion of the number of associated data bias dates, the verification processing reliability of the power data group is determined.

[0034] Further, when the verification processing reliability of the power data group does not meet the requirement, the verification processing period of the power data group is determined based on a preset verification processing period. In one possible embodiment, the verification processing reliability is determined according to the difference between 1 and the proportion of the number of associated data bias dates, wherein when the verification processing reliability is less than 0.4, it is determined that the verification processing reliability of the power data group does not meet the requirement.

[0035] Specifically, the method for determining the verification processing period of the power data group is as follows: According to the associated business type of the power data of the power data group, the number of associated business types of the power data of the power data group is determined, and the business association coefficient of the power data group is determined based on the number of associated business types. The period correction coefficient of the power data group is determined based on the business association coefficient, the verification reliability, and the data bias coefficient. The verification processing period of the power data group is obtained by correcting the basic verification processing period by the period correction coefficient.

[0036] In one possible embodiment, the business association coefficient is determined according to the ratio of the number of associated business types to the number of all business types.

[0037] Further, the period correction coefficient of the power data group is determined according to the ratio of the product of the business association coefficient and the data bias coefficient to the verification reliability.

[0038] In addition, it should be noted that the verification processing period of the power data group is determined according to the product of the period correction coefficient and the basic verification processing period.

[0039] Further, the power data of the power data group is verified by using the verification processing period, specifically including: The verification processing of the power data of the power data group is performed based on the verification processing period.

[0040] Embodiment 2 In a second aspect, as Figure 4As shown, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the power data verification analysis method.

[0041] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment mainly describes the difference from other embodiments. Especially, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiments.

[0042] The above describes specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different than the order in which the actions or steps are recited in the embodiments and still achieve the desired result. In addition, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous or necessary.

[0043] The above only describes one or more embodiments of the specification and does not limit the specification. One or more embodiments of the specification can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of one or more embodiments of the specification shall be included in the scope of the claims of the specification.

Claims

1. A method for checking and analyzing power data, characterized in that: Specifically include: Dividing the power data into different power data groups based on the power data type, and determining a basic verification processing period for the power data group based on the change of the power data in the power data group; Acquiring historical deviations of the power data of the power data group, and determining a data deviation coefficient of the power data group based on the historical deviations; When the data deviation coefficient of the power data group does not meet the requirement, determining the associated power data of the power data group based on the analysis of the power data of the power data group; When it is determined through the historical deviation of the associated power data that the verification processing reliability of the power data group meets the requirements, the associated business type of the power data of the power data group is obtained, and combined with the verification reliability and data deviation coefficient of the power data group, the basic verification processing cycle is corrected to obtain the verification processing cycle of the power data group, and the power data of the power data group is verified and processed using the verification processing cycle.

2. The power data verification and analysis method according to claim 1, characterized in that: The types of power data include power load data, power generation data, grid parameter data, equipment status data and power billing data.

3. The power data verification and analysis method according to claim 1, wherein: The change of the power data includes the amount of newly added data of the power data group on different dates.

4. The power data verification and analysis method according to claim 1, wherein: The method for determining the basic verification processing cycle of the power data group is: determining, based on changes in the power data in the power data group, an amount of newly added data in the power data group on different dates; An average value of the newly added data on different dates is calculated based on the newly added data on different dates, and a basic checking processing cycle of the power data group is determined using the average value of the newly added data.

5. The power data verification and analysis method according to claim 4, characterized in that: The basic check processing period of the power data group is determined according to the average value of the newly added data amount and the corresponding preset processing period.

6. The power data verification and analysis method according to claim 1, wherein: The historical deviation of the power data is based on the date when the power data has a data deviation and the amount of deviation data on the date when the data deviation exists.

7. The power data verification and analysis method according to claim 1, wherein: The method for determining the data deviation coefficient of the power data group is: Determine a date on which the power data group has a data deviation based on the historical deviation situation, and use the date as the data deviation date; The data deviation coefficient of the power data group is determined according to the date quantity ratio of the data deviation date.

8. The power data verification and analysis method according to claim 7, characterized in that: The data deviation coefficient of the power data group ranges from 0 to 1, wherein when the data deviation coefficient of the power data group is greater than a preset deviation coefficient threshold, it is determined that the data deviation coefficient of the power data group does not meet the requirements.

9. The power data verification and analysis method according to claim 1, wherein: Performing verification processing on the power data of the power data group using the verification processing cycle specifically includes: Based on the verification processing cycle, verification processing is performed on the power data of the power data group.

10. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, it executes an electric power data verification and analysis method as described in any one of claims 1-9.

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