Digital Twin Technology for Improving Safety Management in Construction

The application of digital twin technology (DT) in construction is becoming more and more widespread, and within this, construction safety management has always been an important part that cannot be ignored. The development of digital twin technology provides new possibilities on how to improve construction safety management using DT. This paper develops a conceptual human-machine-environment safety detection and control system based on identifying potential applications of digital twin technology focuses on unsafe behavior, unsafe machine/equipment condition and unsafe environment as the main subjects. This system includes a five-dimensional model of the digital twin technology, including cyber-physical modeling, data storage and management, perspective simulation, deep learning, unusual state diagnosis and trend prediction. In addition, key technologies, such as data mining and simulation, and twin collaboration for human-machine-environment co-integration, have also been designed. In addition, the case of Qinling Tunnel digital twin technology application is studied. The research provides several threads for the integration of digital twin technology and construction safety and several areas for future research. The research makes contribution to the field by applying emerging information and communication technology-based management of construction safety.