Digital Twin-Based Risk Control during Prefabricated Building Hoisting Operations.

Area of Science:

• Construction Engineering and Management
• Risk Management
• Digital Twin Technology

Background:

• Prefabricated buildings offer environmental benefits but pose significant safety risks during hoisting operations.
• Current safety risk research lacks real-time interaction and robust decision-making tools that consider risk correlations.
• Digital twin (DT) technology offers real-time interaction capabilities crucial for addressing these limitations.

Purpose of the Study:

• To develop a safety risk control framework for prefabricated building hoisting operations utilizing digital twin technology.
• To establish a safety risk hierarchy model that accounts for the correlation between various hoisting safety risks.
• To provide scientific decision-making tools for real-time hoisting safety risk control.

Main Methods:

• Development of a digital twin (DT) model for prefabricated building hoisting operations.
• Definition of a safety risk hierarchy model incorporating correlated risk indices.
• Integration of a Bayesian network model with the DT mechanism and monitoring data for risk analysis and visualization.
• Calculation of the key degree of indirect to direct inducement variables using probability.

Main Results:

• A visualized decision analysis process for hoisting safety risk control was achieved.
• Key risk factors and their causal relationships were identified through probabilistic analysis.
• The effectiveness of the proposed safety risk control method was validated on a large-scale prefabricated building project.

Conclusions:

• The digital twin-based framework provides effective decision tools for hoisting safety risk control in prefabricated construction.
• The method aids in formulating targeted control schemes and enhances information integration and sharing.
• This approach significantly improves the safety and efficiency of prefabricated building hoisting operations.