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Data-mining-based method of fault-collecting early warning system

A fault warning and data mining technology, applied in the fields of data processing and engineering practice, it can solve the problems of lack of data mining algorithms and tools, and insufficient and effective use of data, and achieve the effect of improving efficiency.

Inactive Publication Date: 2017-03-15
STATE GRID FUJIAN ELECTRIC POWER CO LTD +4
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The full coverage of the electricity consumption information collection system of power users generates a large number of system operation logs and fault logs every day, but due to the lack of corresponding data mining algorithms and tools, this part of the data has not been fully and effectively utilized

Method used

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  • Data-mining-based method of fault-collecting early warning system
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Embodiment Construction

[0023] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, a method for collecting fault early warning systems based on data mining of the present invention includes the following steps,

[0025] S1: Carry out data processing according to the accumulated fault data, and establish a classifier;

[0026] S2: Use the classifier to process the real-time data stream and analyze the fault type;

[0027] S3: Establish an expert knowledge base (based on the prior experience of system operation and maintenance experts and front-line operation and maintenance personnel);

[0028] S4: According to the comparison of the fault type and the expert knowledge base to obtain the results, combined with the feedback from the maintenance personnel, a set of feedback mechanism is established, and the feedback results and the fault data of this time are applied to the establishment ...

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Abstract

The invention relates to a data-mining-based method of a fault-collecting early warning system. The method includes the steps that accumulated fault data is processed, and a classifier is built; real-time data flow is processed through the classifier, and fault types are analyzed; an expert knowledge base is built; according to comparison of the fault types and the expert knowledge base, the result is obtained, a feedback mechanism is built in cooperation with feedback of maintenance persons, and the feedback result and the fault data are applied to building of the classifier. The method is intelligent and rapid, the running fault types can be accurately found, the technical support is provided for maintaining for collected faults, and the fault solving efficiency is improved.

Description

technical field [0001] The invention relates to the field of engineering practice and the field of data processing technology, in particular to a method for collecting fault early warning systems based on data mining. Background technique [0002] The full coverage of the electricity consumption information collection system of power users generates a large number of system operation logs and fault logs every day, but due to the lack of corresponding data mining algorithms and tools, this part of the data has not been fully and effectively utilized. By using data mining technology to analyze the massive operation logs and fault log data stored in the electricity information collection system, an intelligent early warning system for faults in the collection system is designed, which includes core data mining algorithms, technical architecture and business processes. Through the intelligent analysis of data, the system determines the type of fault, guides system maintenance pe...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06G16Z99/00
Inventor 钟小强李学永高琛郭志伟丁忠安鄢盛腾邓伯发叶强陈宏陈元珽黄永煌麦鸿坤董雨李春生
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD