Abstract
With the development of informationization and intelligence of railway passenger stations, problems such as inconvenient information interaction, missing operation and maintenance data, and difficulty in accurate positioning of equipment under the existing equipment operation and maintenance management mode have become the focus. In this paper, the operation and maintenance management process of equipment is divided into three stages: fault prediction and warning, fault diagnosis and processing, and fault rule summary. The implementation schemes of key technologies such as data warehouse, data mining, 5G fusion positioning, and electronic fence are given to realize functions such as condition assessment, fault prediction, fault diagnosis, precise positioning, fence warning, and auxiliary decision-making, which can meet the needs of managers and operations people. Research will help to improve the efficiency and safety of equipment operation and maintenance, and have a reference significance for integrated intelligent operation and maintenance technology and the construction of modern passenger stations.
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Acknowledgements
This research was supported by the National Natural Science Foundation of China (Project No. 52172321) and the Science and Technology Plan of Sichuan Province (Project NO. 2020YJ0268) and Key science and technology projects in the transportation industry of the Ministry of Transport (2022-ZD7-132).
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Wang, B., Li, L., Ni, S., Chen, D. (2023). Research on Equipment Operation and Maintenance Management Technology of Large Railway Passenger Station. In: Ni, S., Wu, TY., Geng, J., Chu, SC., Tsihrintzis, G.A. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. Smart Innovation, Systems and Technologies, vol 347. Springer, Singapore. https://doi.org/10.1007/978-981-99-0848-6_6
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DOI: https://doi.org/10.1007/978-981-99-0848-6_6
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