Power transmission and transformation equipment defect word library establishment method and system based on TextRank algorithm

Abstract

The invention discloses a power transmission and transformation equipment defect word library establishment method and system based on a TextRank algorithm. The method includes: segmenting given powertransmission and transformation equipment defect text T according to complete sentences; for any sub-sentence, carrying out word segmentation processing and part-of-speech labeling processing; constructing a candidate keyword graph; adopting co-occurrence to construct an edge between any two nodes; adopting the TextRank algorithm to iterate to propagate weights of all the nodes to obtain weight scores of all the nodes; and carrying out reverse-order sorting on the weight scores of all the nodes, thus obtaining T most important words, and constructing a defect word library. The method has theadvantage that for defect data of power transmission and transformation, the method carries out keyword extraction through the TextRank algorithm, thus establishes the keyword word library of power transmission and transformation equipment defects, and facilitates follow-up research.

Description

technical field [0001] The invention relates to a method and system for establishing a defect lexicon of power transmission and transformation equipment based on TextRank algorithm. Background technique [0002] The safe operation of power transmission and transformation equipment is the basis of the operation of the entire power grid. Comprehensive and accurate analysis and judgment of equipment is a prerequisite for condition-based maintenance and full life cycle management of power transmission and transformation equipment. At present, the defect analysis of power equipment is usually carried out artificially or semi-intelligently through string comparison and other methods. There is a lack of more effective and intelligent analysis methods, resulting in a large manual workload. At the same time, the analysis results are subjective and cannot reflect the equipment. The correlation of defects makes it impossible to further analyze the defects of the equipment. [0003] Wi...

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Problems solved by technology

At present, the defect analysis of power equipment is usually carried out artificially or semi-intelligently through string comparison and other methods. There is a lack of more effective and intelligent analysis methods, resulting in a large manual workload. At the same time, the analysis results are subjective and cannot reflect the equipment. The correlation of defects makes it impossible to further analyze the defects of the equipment

[0003] With the development of smart grid, the power industry has also entered the "big data era". Various data mining technologies are also applied in the status evaluation of power equipment, but as defects that can reflect the status of power transmission and transformation equipment, Since the data stored in the database is usually filled in manually, the data lacks standardization, so it is difficult to do data analysis

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