Research on the Rendering Optimization of Domestic BIM Engine in the Power Generation Field

Jiangtao Zhu; Tiankun Wang; Guangjian Yang; Xinyang Wang

doi:10.16670/j.cnki.cn11-5823/tu.2024.02.03

Citation: Jiangtao Zhu, Tiankun Wang, Guangjian Yang, Xinyang Wang. Research on the Rendering Optimization of Domestic BIM Engine in the Power Generation Field. Journal of Information Technologyin Civil Engineering and Architecture, 2024, 16(2): 18-23. doi: 10.16670/j.cnki.cn11-5823/tu.2024.02.03

2024, 16(2): 18-23. doi: 10.16670/j.cnki.cn11-5823/tu.2024.02.03

Research on the Rendering Optimization of Domestic BIM Engine in the Power Generation Field

Jiangtao Zhu ^1,, Tiankun Wang ^1,, Guangjian Yang ^2,,, Xinyang Wang ^2,

1.	GD Power Development Co., Ltd., Bejjing 100101, China
2.	Bejjing Glory PKPM Technology Co., Ltd., Beijing 100013, China

Corresponding author: 杨广剑,

Web Publishing Date: 2024-04-20

Fund Project: 国家能源投资集团有限责任公司“基于国产BIM的发电工程数字化关键技术研究” GJNY-22-9

BIMBase, a Domestically-developed BIM Engine, has been widely applied in the fields of architecture and engineering. However, its performance and efficiency decrease when handling large-scale models of power plants. To address this issue, this paper proposes a series of optimization strategies to enhance the performance and efficiency of BIMBase when dealing with large-scale power plant models to better assist the power generation sector. Firstly, this paper investigates and analyzes the working principles and structure of the BIMBase engine, and studies the challenges and issues when rendering large-scale data. Secondly, upon existing research findings, this paper develops quantifying optimization indicators and optimizing rendering algorithms.The results show that these methods can significantly improve the performance and efficiency of the BIMBase when rendering large-scale data. The paper provides a set of optimization methodologies and strategies for the application of BIM engines in the power generation field as well as the analysis and discussion on the effects of these optimization strategies, which can also serve as a reference for the optimization of other BIM graphics engines and a guidance to the practice.

Key words: BIM Engine, Rendering Optimization, Power Generation Sector, 3D Modeling, Domestic Software

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