Research on EMU debugging platform based on front and rear end integration of web application

Jun Ma; Jun Mao; Bingzhi Chen

doi:10.1117/12.2644415

10 November 2022 Research on EMU debugging platform based on front and rear end integration of web application

Jun Ma, Jun Mao, Bingzhi Chen

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123011N (2022) https://doi.org/10.1117/12.2644415
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

In order to improve the efficiency of production and commissioning of high-speed EMU and the ability of statistical analysis of production data.Based on Web mobile communication technology, taking the commissioning production line as the test carrier, the SSM framework is used to realize the design of digital commissioning and management platform, and create a set of commissioning scenarios applied to high-speed EMUs, which can realize the functions of mobile operation, digital commissioning and management, big data analysis and so on.Using the characteristics of automatic inspection, automatic judgment and data management of the platform, manual judgment can be reduced and operation efficiency can be improved.At the same time, real-time monitoring, quality control and intelligent adjustment of the whole commissioning process can be realized through the platform storage and management function.Through field application verification, the platform can effectively solve the waste of human and material resources in the commissioning process, At the same time, it improves the production efficiency and product quality, and provides a portable intelligent debugging and management scheme for high-speed EMU manufacturing and maintenance enterprises.

Citation Download Citation

Jun Ma, Jun Mao, and Bingzhi Chen "Research on EMU debugging platform based on front and rear end integration of web application", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123011N (10 November 2022); https://doi.org/10.1117/12.2644415

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