Abstract
In view of the current operation and maintenance mode for railway station equipment, the method of traditional manual and post-diagnosis for the equipment faults is still used, which cannot meet the reliability requirements of equipment operation and maintenance management. A health diagnosis system based on cloud-edge collaboration for railway station equipment is proposed. Firstly, it collects online operation information of multi-source perception equipment, which realized through edge intelligent gateway by componentized micro- service and Docker technology. Moreover, it realizes data storage and publishing, edge detection, monitoring online and early warning through the intellectual server models. Secondly, a life prediction model is established based on HSMM to calculate the health status and service life of the equipment. Finally, the cloud-edge collaboration model is designed based on KubeEdge to realize the cloud-edge communication and collaborative service of resources. It effectively solves the problems of remote condition monitoring, health diagnosis and predictive maintenance for railway station equipment, and it provides technical support for the safe operation of railway station.
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