Maintenance application automatic ticket forming method based on natural language analysis

Abstract

The invention discloses a maintenance application automatic ticket forming method based on natural language analysis. The method comprises the following steps: step 100, reading a adjustment and control maintenance historical record as a sample, and carrying out the cleaning and filtering of sample data, so as to complete the correlation correspondence of a maintenance application record and a maintenance operation record; step 200, carrying out multi-dimensional analysis on the sample data by utilizing a natural language processing technology to form a adjustment and control domain corpus, and simplifying an analysis processing process of a subsequent maintenance application; step 300, learning related knowledge of the power system, classifying and completing structured storage and input,and establishing a adjustment language feature point model set; step 400, based on the adjustment and control language feature point model set, carrying out quick analysis processing on the maintenance application so as to realize packaging and grouping of the maintenance application; and step 500, checking the integrity of safety measures of maintenance work, deriving an operation scheme and anoperation command, and automatically generating an operation ticket. According to the invention, the operation order can be automatically generated according to the maintenance application.

Description

technical field [0001] The invention relates to the technical field of electric power maintenance, in particular to an automatic ticketing method for maintenance applications based on natural language analysis. Background technique [0002] With the expansion of the grid scale, the rapid development of new energy, and the increasingly complex operating characteristics, the integration of regulation and control fully implements the centralized monitoring and unattended mode of substations. In actual dispatching operations, operators need to manually correlate, analyze and Especially in the "integrated regulation and control" mode of large-scale operation, dispatchers need to rely on manual experience to complete the manual preparation of operation tasks and operation plans for comprehensive power outage applications, operation methods, and operating procedures. Extracting key points cannot get effective decision-making support, and there is a lack of means for intelligent pre...

AI Technical Summary

Problems solved by technology

[0002] With the expansion of the grid scale, the rapid development of new energy, and the increasingly complex operating characteristics, the integration of regulation and control fully implements the centralized monitoring and unattended mode of substations. In actual dispatching operations, operators need to manually correlate, analyze and analyze a large amount of data and knowledge rules Especially in the "integrated regulation and control" mode of large-scale operation, the dispatcher needs to rely on manual experience to complete the manual preparation of operation tasks and operation plans for comprehensive power outage applications, operation methods, and operating procedures. There are many repetitive labors, and it is difficult to timely and quickly Key points are extracted, effective decision support cannot be obtained, and there is a lack of means for intelligent preparation of operation plans

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