Construction Safety Clash Detection: Identifying Safety Incompatibilities among Fundamental Attributes using Data Mining

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• 作者：Antoine J.-P. Tixier^a ; Matthew R. Hallowell^b ; ^{matthew.hallowell@colorado.edu} ; Balaji Rajagopalan^b ; Dean Bowman^c
• 关键词：Building Information Modeling ; BIM ; Advanced Work Packaging ; AWP ; Safety ; Machine learning ; Network analysis ; Risk ; Prevention through design ; Information Technology
• 刊名：Automation in Construction
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：74
• 期：Complete
• 页码：39-54
• 全文大小：12342 K
• 卷排序：74

文摘

Concept of safety clashes is introduced Safety risk attribute data sets are represented as weighted undirected graphs Data mining is applied to graphs and attribute data to identify safety clashes Qualitative analysis of the output shows promising potential of the methodology The “accident as attribute network perturbations” theory is introduced