Research on the selection of key mechanical and electrical equipment of expressways based on environmental characteristics

Zhihe Cheng; Guojin Su; Xiaomin Dai

doi:10.1117/12.3024214

14 February 2024 Research on the selection of key mechanical and electrical equipment of expressways based on environmental characteristics

Zhihe Cheng, Guojin Su, Xiaomin Dai

Author Affiliations +

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130182Y (2024) https://doi.org/10.1117/12.3024214
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

At present, with the rapid development of the transportation industry, the investment scale of the electromechanical project of the expressway is large, the construction mileage is long, and the design task is scattered, which makes the technical parameters of electromechanical equipment vary greatly, and there are some differences in the performance parameters of electromechanical equipment in different climatic environment. Therefore, building a method system of electromechanical key equipment selection based on environmental characteristics is not only a realistic requirement but also a formal requirement. Based on this, firstly, price, quantity, equipment load, and other indicators are selected as considerations to classify the key mechanical and electrical equipment of expressways in Xinjiang by ABC. Secondly, the parameters of the core equipment are recommended. In addition, the influencing factors of electromechanical equipment parameters are analyzed by the analytic hierarchy process, which provides a basis for the selection of electromechanical engineering equipment and the process of parameter determination.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhihe Cheng, Guojin Su, and Xiaomin Dai "Research on the selection of key mechanical and electrical equipment of expressways based on environmental characteristics", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130182Y (14 February 2024); https://doi.org/10.1117/12.3024214

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