The research of lightweight method for the electric and electronic systems’ BIM model

JiuYuan Huo; GuanXiang Pei; TingJuan Wang; JinQuan Liu

doi:10.1117/12.2671236

16 March 2023 The research of lightweight method for the electric and electronic systems’ BIM model

JiuYuan Huo, GuanXiang Pei, TingJuan Wang, JinQuan Liu

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930V (2023) https://doi.org/10.1117/12.2671236
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

Abstract

In view of the problems of BIM model, low data transmission efficiency, cumbersome data conversion and poor BIM rendering, An optimized and improved method is proposed to realize the lightweight of electric &electronic systems’ BIM model. This method uses RevitAPI to generate a custom GLTF model, split and preprocess the overall model, use the optimized model simplification method to ensure the details of the model, generate the custom GLTF data format, complete the lightweight of BIM model. Taking the model in the electric &electronic systems’ project as an example, a high-speed railway station and components were selected for this experiment to verify and compare the proposed method. The results show that the lightweight method of BIM model effectively reduces the model data quantity, improves the real-time rendering efficiency and optimizes the loading effect.

Citation Download Citation

JiuYuan Huo, GuanXiang Pei, TingJuan Wang, and JinQuan Liu "The research of lightweight method for the electric and electronic systems’ BIM model", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930V (16 March 2023); https://doi.org/10.1117/12.2671236

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