In response to issues such as local wheel out-of-roundness, polygonization, and abnormal vibration, this solution proposes to build a rail-mounted fiber-optic intelligent online diagnostic system using fiber Bragg grating (FBG) sensing technology. By studying the wheel-rail interaction mode, advanced fiber-optic sensing technology is used to collect dynamic strain data of steel rails under train excitation. This system aims to comprehensively evaluate the health status of train wheel sets and tracks, detect the current condition, predict the damage development trend, and then guide operation and maintenance decisions such as wheel set reprofiling and track maintenance.

As a high-precision automated monitoring device, the Floating Slab Track Performance Online Monitoring System adopts vibration acceleration sensors, laser displacement sensors and strain sensors, integrates multi-source sensing and data acquisition & transmission units, and collects key parameters such as floating slab vibration, displacement and strain in real time. It features accurate sensing and dynamic evaluation under long-term service conditions.

As a high-precision pantograph-catenary condition monitoring device, the Pantograph Online Monitoring System adopts fiber Bragg grating (FBG) strain sensors, industrial-grade demodulators and 5G communication equipment, integrates multi-source sensing and real-time transmission units, and continuously collects contact force and contact position data between the pantograph and catenary. It features accurate sensing and dynamic diagnosis capabilities in complex operating environments, and can meet the high-reliability pantograph-catenary condition monitoring requirements of all-weather operation, real-time monitoring and precise positioning.

As an integrated on-board detection platform, the Rapid Detection System for Metro Noise and Rail Corrugation adopts multi-channel vibration acceleration sensors, noise sensors and wheel speed measurement units, and cooperates with rail irregularity precision measuring instruments to achieve synchronous acquisition and correlation analysis of interior and exterior carriage noise, car body vibration and track corrugation.

Distributed Acoustic Sensing (DAS) technology is deeply applied to rail transit systems, covering three core scenarios: track structure health monitoring, real-time train tracking, and border security protection. By deploying sensing optical cables (usually laid along track sides or tunnel walls), the system collects vibration signals and combines with AI algorithms to achieve intelligent analysis and early warning.