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Cloud Model-Based Safety Performance Evaluation of Prefabricated Building Project in China

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Abstract

To reduce the incidence of construction accidents in the production process of prefabricated building, this paper analyzes the key factors that affect the safety of prefabricated construction in view of fuzzy qualitative concept in safety performance risk assessment of prefabricated buildings, and constructs a six-factor evaluation index system. Based on the analytic hierarchy process and entropy weight method, a cloud model-based prefabricated construction safety performance evaluation approach is proposed. By using digital characteristics of expected value, entropy and hyper entropy of cloud model, uncertainty words and quantification are organically combined to determine the safety performance evaluation grade standard cloud and project comprehensive evaluation cloud, and project safety performance grade is determined by comparing the cloud similarity between the two clouds. Then, this paper sets Shifeng Road affordable housing industrialization project in Guangzhou as an example, safety performance is quantified under this approach to determine its safety performance grade. After collecting expert evaluation data and calculating combination weight, we find that D1 = 0.14611 and D17 = 0.07366 demonstrate on-site safety management staff’s safety awareness and safety management system have the greatest index weight. The results show that safety performance of the project is good and consistent with the actual situation. The method provides a new way to objectively evaluate safety performance of prefabricated project.

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Acknowledgements

The research was supported by the National Natural Science Foundation of China (71501052), Foundation of Department of Education of Guangdong Province (2014WQNCX073), Foundation of Guangzhou affiliated university (1201431441), Natural Science Foundation of Guangdong Province (2015A030310506), Philosophy and Social Planning Program of Guangdong Province (GD16XGL38), Philosophy and Social Planning Program of Guangzhou (2016GZQN32). The author would like to acknowledge the valuable suggestions of the editor and three anonymous reviewers.

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  1. School of Management, Guangzhou University, Guangzhou, 510006, China

    Jingkuang Liu, Enqin Gong, Dong Wang & Yue Teng

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  1. Jingkuang Liu
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Correspondence to Dong Wang.

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Liu, J., Gong, E., Wang, D. et al. Cloud Model-Based Safety Performance Evaluation of Prefabricated Building Project in China. Wireless Pers Commun 102, 3021–3039 (2018). https://doi.org/10.1007/s11277-018-5323-3

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