Performance diagnosis and optimization of building system based on building information model

Wen Zhao

doi:10.1117/12.2667678

28 March 2023 Performance diagnosis and optimization of building system based on building information model

Wen Zhao

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125664N (2023) https://doi.org/10.1117/12.2667678
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

With the progress of science, China's construction industry has gradually started information management. In the construction industry, the economic expenditure of construction and the management of construction safety are the core issues, which need to be managed with information technology. For construction enterprises, whether they have strong competitiveness in the industry or not, construction management plays a very important and decisive role. In order to avoid all kinds of drawbacks of traditional manual management and break the limitations of manual management, construction enterprises need to establish and use an information management optimization model. The method adopted in this paper is the building information model, which makes the whole building process visible by using big data, makes the components present in three-dimensional physical graphics, and forms interaction and feedback with the components. Therefore, the communication, discussion and decision-making in the process of project design, construction and operation are all carried out in a visual state. According to the research in this paper, this algorithm is superior to the traditional algorithm and can be widely applied in practice

Citation Download Citation

Wen Zhao "Performance diagnosis and optimization of building system based on building information model", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125664N (28 March 2023); https://doi.org/10.1117/12.2667678

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