Software Design of a Railway Signal Monitoring System based on Optical Fiber Sensing

Ma Chun-ying, Li Biqing

Abstract


The current railway track circuit monitoring system is prone to disturbances that can result in accidents. Meanwhile, basic signaling equipment is slow and cannot achieve satisfactory real-time data acquisition speed. This study aims to solve the aforementioned problems by designing an online monitoring and management platform for railway signal infrastructure, which is based on the graphical programming language LabVIEW. Online monitoring and management of railways’ basic signaling equipment allow real-time collection and communication of various signal equipment data. These processes also enable signal processing, chart display, acousto-optic alarm, user authority management, data storage, data query analysis, and report printing. The test results show that the LabVIEW-based basic signaling equipment for monitoring and managing railway systems can transmit data correctly and steadily, thereby resulting in convenient and ideal operation.

Keywords


track circuit; online monitoring; LabVIEW; peak finding detection

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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