Design and implementation of intelligent assessment system for S700K switch transaction devices in rail transit

Jie Xiao; Kaixia Lu; Jianping Yu

doi:10.1117/12.2536999

14 February 2020 Design and implementation of intelligent assessment system for S700K switch transaction devices in rail transit

Jie Xiao, Kaixia Lu, Jianping Yu

Author Affiliations +

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 114320T (2020) https://doi.org/10.1117/12.2536999
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Switch transaction device is the equipment with the highest failure rate in rail transit signaling system. Switch equipment maintenance and fault handling is the core course of rail transit signaling specialty, and also the key technology to ensure the safety of rail transit transportation. With the rapid increase of rail transit mileage, train speed and traffic density, the increase of switch equipment usage frequency leads to the increase of daily maintenance and fault handling workload, which brings great pressure to safety production. Therefore, the ability to quickly diagnose and deal with switch faults is an important guarantee for the safety of rail transit transportation. In view of these reasons, it is particularly important to strengthen the training of operation skills of students and signaling maintenance personnel on the spot, and to improve their ability to deal with equipment failures in a short time. In this paper, an intelligent assessment system based on S700K switch machine is designed and implemented, which can effectively improve the switch maintenance and fault handling level of trainees through practical training and operation.

Citation Download Citation

Jie Xiao, Kaixia Lu, and Jianping Yu "Design and implementation of intelligent assessment system for S700K switch transaction devices in rail transit", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114320T (14 February 2020); https://doi.org/10.1117/12.2536999

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