Automatic structured carding method for monitoring information table

Abstract

The invention relates to an automatic structured carding method for a monitoring information table. The automatic structured carding method comprises the following steps: acquiring monitoring table information; establishing a monitoring information structured model; constructing a word bank; performing natural language analysis and machine learning; and performing inspection and identification. According to the automatic structured carding method, the electric power professional noun and the monitoring information knowledge base are expanded, and the monitoring information is automatically classified to the equipment identification basis; a basis is provided for tracing monitoring data to equipment-interval-wiring form-voltage class-transformer substation, manufacturers and equipment models, and a basis is established for subsequent big data analysis; and association between a large amount of monitoring information and equipment can be realized only by a small amount of human intervention. While the manpower is liberated, the working quality is improved, and the effective management of the monitoring information of the operation station is accelerated to a great extent.

Description

technical field [0001] The method relates to a method for automatic structured sorting, in particular to a method for automatic structured sorting of monitoring information tables, which belongs to the field of electric power. Background technique [0002] The standardization of the monitoring information table is an important basis for monitoring the safety of the power grid and the operation of equipment in the power system. With the rapid development of smart substations and large-scale operation systems, unified and standardized monitoring information has become the key to the safe operation of remote monitoring power grids in the control center. [0003] At present, there are still many irregularities in the monitoring information tables of some substations that have been put into operation for a long time, and it is necessary to rely on manual experience to realize the association between equipment and monitoring information. Operators increase the difficulty of work....

AI Technical Summary

Problems solved by technology

[0003] At present, there are still many irregularities in the monitoring information tables of some substations that have been put into operation for a long time, and it is necessary to rely on manual experience to realize the association between equipment and monitoring information. Operators increase the difficulty of work

Objectively, problems such as imprecise monitoring and insufficient timely detection of abnormalities are prone to occur, which will affect the judgment of monitoring information and bring hidden dangers and risks to the stable operation of the power grid

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