Safety status identification model of civil construction project based on deep learning

Jie Gao

doi:10.1117/12.2668031

28 March 2023 Safety status identification model of civil construction project based on deep learning

Jie Gao

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125664M (2023) https://doi.org/10.1117/12.2668031
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

One of the reasons for the frequent occurrence of civil engineering construction safety accidents is the knowledge deficiency of practitioners in technical operation and safety protection. This paper firstly introduces the theory of the causes of construction safety accidents and the characteristics of safety management of civil engineering construction projects. Then, by building a project safety management maturity model, it analyzes the current situation of safety management communication and knowledge sharing in engineering practice, finds out deficiencies, and formulates improvement measures. The construction of this model not only enriches the construction project safety management evaluation system, but also is of great significance to the theoretical exploration of the maturity model, and further guides project managers to improve project safety management capabilities in practice and reduce the occurrence of construction safety accidents.

Citation Download Citation

Jie Gao "Safety status identification model of civil construction project based on deep learning", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125664M (28 March 2023); https://doi.org/10.1117/12.2668031

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