Abstract
Construction safety accidents often occur in urban steel structure buildings due to construction complexity and safety managing difficulty. Therefore, this study constructs an evaluation index system of construction safety collaborative management in the context of Building information modeling, and introduces cloud model to evaluate its safety. At the same time, it carries out experimental verification. The weight results determined by Network Analytic Hierarchy Process and Entropy Weight Method are mostly consistent, but some single indicators have significant deviations. For the Statistical dispersion, network analytic hierarchy process is about 0.389, entropy weight method is about 0.389, and the comprehensive weighting method is about 0.156, which is far lower than both. In addition, the scores of ten experts on 40 indicators remain between 70 and 90. And \(Ex\) remains between 77 and 89, \(En\) remains between 0.1 and 4.9, and \(He\) remains between 0.1 and 2.3. Meanwhile, in the cloud model security evaluation, the evaluation score of indicator A is between 70 and 90, indicator B is between 75 and 95, indicator C is between 78 and 92, indicator D is between 78 and 94, indicator E is between 75 and 97, and indicator F is between 78 and 91. Overall, the proposed comprehensive weighting method has practicality and reliability, while the cloud model used in the BIM context for the safety evaluation and analysis of steel structure construction in cities has high effectiveness and accuracy. The model constructed by the building information management system fully considers the randomness and fuzziness of the evaluation set, achieving a qualitative and quantitative conversion. The actual empirical analysis results are consistent with the actual project, it has reference value for strengthening the safety management of steel structure construction in cities.
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Zhang, Z., Qiu, Y. Construction safety analysis of urban steel structure buildings based on cloud-building information modeling. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-05176-2
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DOI: https://doi.org/10.1007/s10668-024-05176-2