Digital Twin‐based Safety Evaluation of Prestressed Steel Structure

Liu, Zhansheng; Bai, Wenyan; Du, Xiuli; Zhang, Anshan; Xing, Zezhong; Jiang, Antong

doi:10.1155/2020/8888876

Cited by 18 publications

(14 citation statements)

References 24 publications

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“…Yu et al [40] proposed a method for health monitoring based on the DTm, which constructed a non-parametric Bayesian network to represent the dynamic degradation process of health state and the propagation of cognitive uncertainty. The authors of [41,42] studied the application of DT technology in steel structure building safety assessment and construction tensioning, respectively, verifying the feasibility of DT application through cases. In the field of building venue security, DT has been applied to the dynamic evacuation of personnel in the fire scene of the Winter Olympic Venues, which makes up for the shortage of traditional fire safety evacuations [43,44].…”

Section: Digital Twinmentioning

confidence: 99%

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

2022

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The hoisting of prefabricated components (PCs) is a key step during the construction of prefabricated buildings. Aiming at the problems existing in the control of PC hoisting, an innovative hoisting management system framework based on the digital twin (DT) is established in this paper. The system framework comprehensively utilizes the building information model (BIM) and Internet of Things (IoT) to establish a digital twin model (DTm) for PC hoisting control and uses Dijkstra’s algorithm to conduct hoisting route planning according to the BIM data in the model. Meanwhile, long-range radio (LoRa) technology was used for data acquisition and transmission to monitor the movement state of the PCs in the hoisting process. By testing it in a prefabricated building project, the DT control method was conducted to realize the functions of real-time information collection, hoisting path planning and PC positioning, which proved the feasibility and effectiveness of the method. As a key technology to realize intelligent manufacturing, DT has been widely studied in academia. The DTm of the hoisting process of PCs is established in this study; it improves the level of intelligent management of prefabricated building construction and provides a new idea for intelligent building construction.

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Section: Digital Twinmentioning

confidence: 99%

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

2022

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“…For example, Lu et al [ 18 ] proposed a system framework of digital twin for architecture and urban design, and based on this framework, developed the digital twin model for operation and maintenance management of the West Cambridge site of the University of Cambridge, UK. Liu et al [ 19 , 20 ] proposed a DT-driven fire safety dynamic evacuation method in the aspect of risk management to realize the three-dimensional model of building safety evacuation, and real-time dynamic planning of an evacuation route according to fire development situation. In the aspect of risk assessment, the safety assessment method of prestressed steel structure in service was studied based on DT technology, and the safety assessment framework of prestressed steel structure based on DT technology was put forward.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting

Liu

Meng

Xing

et al. 2021

Sensors

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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.

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“…At present, digital twins have been applied in the field of smart cities [42], building construction, maintenance, and strengthening operations [43,44]. Furthermore, there have been studies using the combination of the BIM model and the IoT to construct a digital twin model of the building [17,18].…”

Section: Dtsmentioning

confidence: 99%

“…A DTM supported by appropriate algorithms can make relevant conditions correspond to the performance in the real physical world, and then propose improvements to the systems in the real world. Such methods have been applied for the evaluation of the structural health of buildings [17] and the prediction of equipment failure [18].…”

Section: Introductionmentioning

confidence: 99%

A Framework for an Indoor Safety Management System Based on Digital Twin

Liu

Zhang

Wang

2020

Sensors

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With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions.

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Digital Twin‐based Safety Evaluation of Prestressed Steel Structure

Cited by 18 publications

References 24 publications

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting

A Framework for an Indoor Safety Management System Based on Digital Twin

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