This paper provides a state-of-the-art of optical fiber sensing technologies and their practical application in railway infrastructures. A smart concept for artificial intelligence contribution. To obtain the stress field distribution of the support position (bear-ing area) of the train, proposed a EMU health monitoring and intelligent state assessment system based on fiber sensing internet of things (FS-IoT). We monitor track condition, detect trespass and cable security events, and alert operators to natural hazards such as landslides or rock falls. FOS technologies enable long-distance measurements, with some systems reaching up to 100 km for distributed sensing. Our system accurately detects train movements independently from trackside equipment, locates potential issues such as track faults, track condition changes, intrusions.