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2023 | OriginalPaper | Chapter

6. Research on Equipment Operation and Maintenance Management Technology of Large Railway Passenger Station

Authors : Bozhou Wang, Lexi Li, Shaoquan Ni, Dingjun Chen

Published in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Publisher: Springer Nature Singapore

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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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Metadata
Title
Research on Equipment Operation and Maintenance Management Technology of Large Railway Passenger Station
Authors
Bozhou Wang
Lexi Li
Shaoquan Ni
Dingjun Chen
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-0848-6_6

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