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Issue title: Artificial Intelligence and Advanced Manufacturing (AIAM 2020)
Guest editors: Shengzong Zhou
Article type: Research Article
Authors: Ding, Xiaobinga; b; * | Yang, Kaihea | Hu, Huaa | Liu, Zhiganga
Affiliations: [a] School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai, China | [b] School of Marine and Architectural Engineering, Shanghai Jiaotong University, Shanghai, China
Correspondence: [*] Corresponding author. Xiaobing Ding, School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620, China. E-mail: [email protected].
Abstract: There is a close relationship between the operation safety and the application of training equipment. If the relationship is not handled well, it will lead to serious problems, even the Conflicts. So designing training equipment management information system is extremely urgent. First, the main training categories are carded, such as drivers training, construction and maintenance, daily safety management, canteen safety, etc., and the basic flow chart of the 4 types of training are drawn; Second, the training equipment management database Train_Database is constructed based on training process, equipment involved, trainers, contingency plans of the 4 kinds of raw data, which lay the foundation for the follow-up of the management information system design and development; Third, the training equipment declaration and management system is developed, which is called Training_Equipment_MS, and the main modules are: equipment resource information management module, equipment declaration module, equipment audit module, safety check form filling module, equipment declaration results publicity module, etc. Finally, the functions of each module are shown in details. It has good practical guidance to the application and operation of rail transit, which can reduce accidents and hidden danger in the course of training.
Keywords: Rail transit training, safety management of equipment, resource declaration and audit, design and development of system
DOI: 10.3233/JIFS-189725
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4651-4659, 2021
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