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基于数字孪生的预制建筑吊装安全风险耦合。

Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting.

机构信息

Department of Urban Construction, Beijing University of Technology, Beijing 100124, China.

出版信息

Sensors (Basel). 2021 May 21;21(11):3583. doi: 10.3390/s21113583.

Abstract

Safety management in hoisting is the key issue to determine the development of prefabricated building construction. However, the security management in the hoisting stage lacks a truly effective method of information physical fusion, and the safety risk analysis of hoisting does not consider the interaction of risk factors. In this paper, a hoisting safety risk management framework based on digital twin (DT) is presented. The digital twin hoisting safety risk coupling model is built. The proposed model integrates the Internet of Things (IoT), Building Information Modeling (BIM), and a security risk analysis method combining the Apriori algorithm and complex network. The real-time perception and virtual-real interaction of multi-source information in the hoisting process are realized, the association rules and coupling relationship among hoisting safety risk factors are mined, and the time-varying data information is visualized. Demonstration in the construction of a large-scale prefabricated building shows that with the proposed framework, it is possible to complete the information fusion between the hoisting site and the virtual model and realize the visual management. The correlative relationship among hoisting construction safety risk factors is analyzed, and the key control factors are found. Moreover, the efficiency of information integration and sharing is improved, the gap of coupling analysis of security risk factors is filled, and effective security management and decision-making are achieved with the proposed approach.

摘要

吊装安全管理是决定预制建筑施工发展的关键问题。然而,吊装阶段的安全管理缺乏真正有效的信息物理融合方法,吊装安全风险分析没有考虑风险因素的相互作用。本文提出了一种基于数字孪生(DT)的吊装安全风险管理框架。建立了数字孪生吊装安全风险耦合模型。该模型集成了物联网(IoT)、建筑信息模型(BIM)以及结合 Apriori 算法和复杂网络的安全风险分析方法。实现了吊装过程中多源信息的实时感知和虚实交互,挖掘了吊装安全风险因素之间的关联规则和耦合关系,并可视化了时变数据信息。在大型预制建筑的施工中进行的演示表明,通过该框架,可以完成吊装现场与虚拟模型之间的信息融合,并实现可视化管理。分析了吊装施工安全风险因素之间的相关性关系,找到了关键控制因素。此外,提高了信息集成和共享的效率,填补了安全风险因素耦合分析的差距,通过所提出的方法实现了有效的安全管理和决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28c0/8196697/aafcdac4e28f/sensors-21-03583-g001.jpg

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