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28 August 2024 Exploration of digital maintenance for highway electromechanical equipment based on digital twin
Li Lin, Zhu Jierui, Gao Jian, Guo Yuqi, Li Hengyu, Yin Sheng
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Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325122 (2024) https://doi.org/10.1117/12.3039655
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
To address the issues of relying on manual maintenance and insufficient digitization in the management of highway electromechanical equipment. This paper introduces the design and development process of the highway electromechanical Digital Twin platform from the perspective of full-lifecycle asset management and digital maintenance. The platform's functions focus on equipment asset management, providing a digital solution for real-time monitoring, fault alarm and diagnosis. The platform collects electromechanical equipment data and highway elements to construct a digital twin system integrated with map services, facilitating high-performance 3D visualization for equipment management. The system has designed a series of core modules to enhance platform performance, including scenario rapid construction, equipment layout schemes simulation, and equipment spatial correlation display. Through the application of a platform at the test site, the platform demonstrated the advantages of digital maintenance, boosting maintenance efficiency, and enhancing user interaction experience. The research has promoted the development of highway digitization.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Li Lin, Zhu Jierui, Gao Jian, Guo Yuqi, Li Hengyu, and Yin Sheng "Exploration of digital maintenance for highway electromechanical equipment based on digital twin", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325122 (28 August 2024); https://doi.org/10.1117/12.3039655
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KEYWORDS
Data modeling
3D modeling
Inspection equipment
Data acquisition
Design
Modeling
Transportation
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