Citation:
Zhansheng Liu, Anxiu Li, Xintong Meng, Guoliang Shi, Cunfa Cao. Establishment Method of Digital Twin Model for Hoisting Safety Risk Management of Assembly Building. Journal of Information Technologyin Civil Engineering and Architecture,
2022, 14(3): 26-33.
doi: 10.16670/j.cnki.cn11-5823/tu.2022.03.04
2022, 14(3): 26-33. doi: 10.16670/j.cnki.cn11-5823/tu.2022.03.04
Establishment Method of Digital Twin Model for Hoisting Safety Risk Management of Assembly Building
Department of Urban Construction, Beijing University of Technology, Beijing 100124, China |
Assembly building has been vigorously promoted due to its convenient construction and green environmental protection. As a key link in the construction process of prefabricated construction, hoisting operation involves many safety management elements and complex relationships. The current hoisting safety risk management methods still have problems such as low intelligence level, unguaranteed prediction accuracy, and unreal-time control of safety management factors. In view of the above hoisting safety risk management problems, this paper introduces the concept of digital twin into the field of hoisting safety risk management, analyzes the inducing factors of hoisting safety risk, builds a digital twin framework for hoisting safety management, and expounds the operation mechanism of digital twin model. And based on the key problem of digital twin modeling, the modeling methods of physical hoisting process, virtual hoisting process and virtual and real information interaction are proposed, which have been put into practice in a project to verify the effectiveness of the method, providing theoretical support and technical support for the application of digital twin in hoisting safety risk management.
| [1] |
住房和城乡建设部, 国家发展改革委, 科技部, 工业和信息化部, 人力资源社会保障部, 生态环境部, 交通运输部, 水利部, 税务总局, 市场监管总局, 银保监会, 铁路局, 民航局. 关于推动智能建造与建筑工业化协同发展的指导意见[EB/OL]. (2020-07-03)http://www.mohurd.gov.cn/wjfb/202007/t20200728_246537.html. |
| [2] |
李文龙, 李慧民, 裴兴旺, 等. 基于结构熵权-可信性测度理论的装配式建筑吊装施工安全风险评估[J]. 武汉大学学报(工学版), 2020, 53(05): 410-417. |
| [3] |
荀志远, 张丽敏, 徐瑛莲, 等. 基于组合赋权云模型的装配式建筑安全风险评价[J]. 数学的实践与认识, 2020, 50(7): 302-310. |
| [4] |
Gabriel Raviv, Aviad Shapira, Barak Fishbain. AHP-based analysis of the risk potential of safety incidents: Case study of cranes in the construction industry[J]. Safety Science, 2017, 91. |
| [5] |
赵平, 熊倩, 汤彦宁. 基于SD的装配式建筑施工安全风险测量研究[A]. 中冶建筑研究总院有限公司. 2020年工业建筑学术交流会论文集(下册)[C]. 中冶建筑研究总院有限公司: 工业建筑杂志社, 2020, 5. |
| [6] |
段永辉, 周诗雨, 郭一斌, 等. 基于SEM的装配式建筑施工安全风险及策略[J]. 土木工程与管理学报, 2020, 37(2): 70-75, 121.doi: 10.3969/j.issn.2095-0985.2020.02.011 |
| [7] |
申玲, 唐晔文, 牟月. 基于Cloud-BN的装配式住宅构件吊装安全评价[J]. 中国安全科学学报, 2019, 29(10): 147-153. |
| [8] |
Abel Pinto. QRAM a Qualitative Occupational Safety Risk Assessment Model for the Construction Industry that Incorporate Uncertainties by the Use of Fuzzy Sets[J]. Safety Science, 2014, 63. |
| [9] |
常春光, 刘芷琦. 基于RS-SVR的装配式建筑施工安全风险预测[J]. 沈阳建筑大学学报(社会科学版), 2020, 22(6): 590-594. |
| [10] |
刘名强, 李英攀, 王芳, 等. 基于RVM的装配式建筑吊装作业安全预警模型[J]. 中国安全科学学报, 2018, 28(4): 109-114. |
| [11] |
Melzner, Jurgen. Acquisition and processing of input data for an object-Oriented safety risk simulation in building construction[C]//2017 Winter Simulation Conference(WSC). 2017. |
| [12] |
陶飞, 刘蔚然, 张萌, 等. 数字孪生五维模型及十大领域应用[J]. 计算机集成制造系统, 2019, 25(1): 1-18. |
| [13] |
刘占省, 刘子圣, 孙佳佳, 等. 基于数字孪生的智能建造方法及模型试验[J]. 建筑结构学报, 2021, 42(6): 26-36. |
| [14] |
刘占省, 张安山, 王文思, 等. 数字孪生驱动的冬奥场馆消防安全动态疏散方法[J]. 同济大学学报(自然科学版), 2020, 48(7): 962-971. |
| [15] |
Liu Zhansheng, Shi Guoliang, Zhang Anshan, et al. Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence[J]. Sensors, 2020, 20(24). |
| [16] |
李强年, 王乔乔. 基于NB-IoT技术的装配式建筑吊装安全风险管理[J]. 工程管理学报, 2020, 34(6): 113-118. |
| [17] |
陈伟, 杨主张, 熊威, 等. 装配式建筑工程施工安全风险传导DEMATEL-BN模型[J]. 中国安全科学学报, 2020, 30(7): 1-6. |
| [18] |
马辉, 吕航, 栾瑞斌. 基于空间单元分析的装配式建筑施工安全预警模型[J]. 中国安全科学学报, 2020, 30(5): 27-32. |
| [19] |
丁凯, 张旭东, 周光辉, 等. 基于数字孪生的多维多尺度智能制造空间及其建模方法[J]. 计算机集成制造系统, 2019, 25(6): 1491-1504. |
Metrics
- PDF Downloads(62)
- Abstract views(2265)
- HTML views(1065)
