A method for judging abnormal causes of electric energy metering equipment
A technology for electric energy metering equipment and abnormal causes, which is applied in the direction of measuring electrical variables, calculations, and calculation models. It can solve the problems of lack of data mining algorithms and tools, and insufficient and effective use of data to achieve accurate power grid abnormal causes. The effect of judgment
Active Publication Date: 2022-05-17
国网福建省电力有限公司营销服务中心 +2
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Problems solved by technology
[0002] With the full coverage and full collection of power users' electricity information collection system, the system collects various data such as electric energy metering data, operating condition data, and event records of on-site electric energy metering equipment every day, and the daily increment of data reaches more than 85G, but due to Lack of corresponding data mining algorithms and tools, resulting in the failure of this part of the data to be fully and effectively utilized
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Embodiment 1
[0254] Example 1: Combining the scheme based on the judgment basis algorithm and the patent system knowledge base to provide a method for judging the cause of the abnormality
[0255] 1. Judgment result algorithm based on judgment basis algorithm and expert knowledge base
[0256] Input: online data, historical abnormal cases of electric energy metering equipment, expert system knowledge base
[0257] Output: the list result1 of the preliminary measurement exception judgment basis satisfied by the data, the result2 of the measurement exception judgment basis list, and the result3 of the judgment result list. The judgment result is the abnormal reason obtained by this method.
[0258] 1. Collect real-time data and implement all the first-level judgment basis
[0259] 1.1) Abnormal judgment of voltage and current values: G, I, J, L, executed online according to the collection time point
[0260] 1.2) Abnormal judgment of electric energy indication value: A, B, C...
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The invention discloses a method for judging the abnormal cause of electric energy metering equipment, which is characterized by extracting abnormal data conforming to the judgment basis of the initial model XA through ETL, and performing the first-level judgment on the equipment that extracts the abnormal data online, based on the deterministic algorithm The conditional judgment performs the second-level judgment until all devices generate and output fault logs, and finally displays and provides judgment reasons and suggestions to the user; this solution uses the judgment basis algorithm combined with the expert system knowledge base to provide judgment result algorithms to accurately judge abnormal data For the corresponding abnormal cause, the knowledge base can also be self-updated and repaired through the algorithm to achieve a more accurate judgment of the abnormal cause of the electric energy metering equipment.
Description
technical field [0001] The invention belongs to the field of electric power information system construction, and relates to a method for judging abnormal causes of electric energy metering equipment. Background technique [0002] With the full coverage and full collection of the electricity consumption information collection system of power users, the system collects various data such as electric energy metering data, operating condition data, and event records of on-site electric energy metering equipment every day, and the daily increment of data reaches more than 85G, but due to The lack of corresponding data mining algorithms and tools has led to the failure of this part of the data to be fully and effectively utilized. By using big data analysis technology to mine and analyze the massive data and abnormal events stored in the power consumption information collection system, it involves an abnormal judgment system based on the judgment basis algorithm and expert knowledg...
Claims
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IPC IPC(8): G06F16/25G06F16/23G06N20/00G01R35/04
CPCG06F16/254G06F16/23G06N20/00G01R35/04Y02P90/82
Inventor 高琛鄢盛腾夏桃芳詹世安丁忠安林华陈前王雅平许俊阳李毅靖谢国荣王迟陈琳郑晓晖郑宏尤学敏
Owner 国网福建省电力有限公司营销服务中心