Working condition recognition method based on point switch action curve similarity characteristics

Abstract

The invention relates to a working condition recognition method based on point switch action curve similarity characteristics. The working condition recognition method comprises the following steps: 1, selecting a reference template from historical action curves of a point switch; 2, constructing a pairing matrix; 3, calculating the distance di, j of each group of curve pairs in the Pn, m, and constructing an action curve distance matrix Dn, m; 4, performing dimension reduction on the Dn, m through a dimension reduction algorithm; 5, drawing a relative curve shape distribution diagram of a historical action curve C of the point switch; 6, clustering the Fn, 2: [f1, f2,..., fn] through a clustering algorithm; 7, adjusting clustering parameters, and executing the step 6 repeatedly until theshapes of the action curves in the step Sc are the same; and 8, marking the curve in the Sc by using c representing the working condition type to finish the identification of the working condition ofthe point switch. Compared with the prior art, the working condition recognition method has the advantages of effectively solving the problem that the action curve of the point switch cannot be further analyzed through machine learning and big data due to no data label, and being wide in application, visual in working condition change trend, high in efficiency and the like.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance of signal systems of urban rail transit and high-speed railway train operation control systems, in particular to a working condition identification method based on similarity characteristics of switch machine action curves. Background technique [0002] With the continuous extension of my country's high-speed railway and urban rail transit network, more and more railway communication and signal system equipment are deployed along the track to ensure the safety, reliability and efficiency of train operation. In this process, due to the technical upgrading of communication and signal system equipment, its work efficiency has been continuously improved, and its structure has become more sophisticated, which has also caused heavy pressure on logistics operation and maintenance. In order to further ensure driving safety and improve operation and maintenance efficiency, people urgently...

AI Technical Summary

Problems solved by technology

[0005] In view of the problems of different types of switch machine equipment in high-speed railways and urban rail transit, different suppliers, different service times, and dynamic errors in data monitoring circuits, the historical action curves of massive switch machines have complicated specifications and cannot be directly marked without professional manual marking. Applied to machine learning and big data analysis methods

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