Conductive wire non-stress identification method and system based on target detection and residual network

Abstract

The invention discloses a conductor wire non-stress identification method and system based on target detection and a residual network, and belongs to the technical field of contact network conductor wire identification. An existing conductor wire stress recognition scheme is poor in recognition precision and large in error. According to the conductor wire non-stress identification method based on the target detection and the residual network, the stress condition of the conductor wire is accurately identified by using the target detection algorithm and the residual network, and compared with the existing priori knowledge and inclined stay wire angle difference scheme, the identification precision is higher, the error is smaller, and the data processing is more objective, accurate and efficient. Furthermore, the method can efficiently identify the state of the conductor wire, has good stability, can effectively avoid the damage of a contact network system, improves the current collection quality of a pantograph, is simple, practical and feasible in scheme, and has very high economic value.

Description

technical field [0001] The invention relates to a method and system for unstressed identification of conductive wires based on target detection and residual network, and belongs to the technical field of identification of conductive wires of catenary networks. Background technique [0002] In the electrified railway industry, the conductive wire plays a vital role in the stable operation of the catenary - in the chain suspension, the contact wire is suspended on the catenary cable through the conductive wire, and the contact suspension is ensured by adjusting the length of the conductive wire The structural height and the height of the contact line can improve the elasticity of the contact suspension and improve the current quality of the pantograph. However, there are complex mechanical and electrical interactions between the pantograph and the catenary, which inevitably lead to a high defect rate of the pantograph-catenary system and seriously affect the operational safety...

AI Technical Summary

Problems solved by technology

[0005] The above scheme is based on prior knowledge and the angle difference of the inclined cable to judge whether the cable is stressed or not. However, the prior knowledge needs to presuppose some rules and set some necessary conditions, which has certain subjectivity and randomness, and cannot be objective and accurate. Processing data; at the same time, due to the influence of wind force and the tightness of the cable, there will be a large error in judging whether the force is applied by using the angle difference of the cable. Therefore, the recognition accuracy of the above scheme is poor and there is a large error

Images