Data-similarity-based full-mistaken-point-prevention table checking method

Abstract

The invention relates to a data-similarity-based all-mistaken-point-prevention table checking method, which comprises the following steps: S1, importing a CIME model file of primary equipment, searching a primary equipment association relationship by adopting a topological analysis algorithm, and performing similarity grouping; S2, importing a secondary equipment data model, and analyzing the nameof a secondary device and the name of secondary equipment by adopting a natural language fuzzy matching algorithm to obtain equipment attributes of the secondary equipment; S3, importing the primaryequipment CIME model file after similarity grouping and the analyzed secondary equipment data model into a database, and establishing an association relationship between the data of the primary equipment and the data of the secondary equipment by using an equipment relationship model to form an equipment association table; S4, performing statistical analysis according to the obtained equipment association table to obtain auditing result data; and S5, outputting the auditing result data to an interface for display, and generating an auditing report for consulting. According to the method, the problem that a lot of time needs to be consumed for comparing equipment installation in manual checking is solved, and checking efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a method for checking a full anti-delay point table based on data similarity. Background technique [0002] With the continuous deepening of the application of the substation full error prevention system, on-site switching, maintenance and other work have become safer and faster. However, the secondary point table is the basic data of the secondary error prevention, which includes a large number of on-site pressure plates, circuit breakers, The correctness of the secondary equipment data such as handles and abnormal signals directly affects the judgment result of the secondary error prevention locking logic. Conduct a review to ensure that the secondary error prevention is performed correctly. [0003] Existing audit methods are reviewed by personnel with professional knowledge of relay protection. Auditors are based on the operation mode of the primary equipment of the su...

AI Technical Summary

Problems solved by technology

However, the efficiency of manual review is low, and the requirements for the technical quality of personnel are high, which seriously affects the efficiency of verification.

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