A Data Management and Fault Diagnosis System Based on Hxd2B Locomotive
Limin Zhang, Su Yu, Zede Zhu, Zhu cheng, Zhide Zhang, Ziyang Leng, Yahui Su · 2018
With the rapid development of the railway industry, state data analysis and fault diagnosis during locomotive operation are receiving more and more attention. In this paper, we propose a data management and fault diagnosis system based on HXD2B locomotive. We use web-based design, database partitioning, caching, database read-write separation, and server clustering, then design an automatic fault diagnosis solution that allows custom fault retrieval information and based correlation analysis. Based on the above design, the system can realize large data storage, information sharing and more intelligent fault diagnosis. In the application scenario of Hefei Locomotive Depot, the system supports the storage of more than 1 billion data and has been running stably for more than half a year, realizing the information sharing on this type of locomotive in Hefei, Wuhu and Fuyang, as well as more accurate fault diagnosis.