Research on a digital twin-based assessment method for worker postural load in pipe-jacking construction operations

Abstract

A method for assessing the postural load of workers in pipe jacking construction was developed based on digital twin technology. Digital twins enable real-time monitoring, analysis, and optimization of physical entities by constructing virtual models corresponding to real-world objects. In pipe jacking construction, the postural load of workers directly impacts work efficiency and safety. To address this, a digital twin-based assessment method was proposed. First, a digital twin model incorporating workers, equipment, and the environment is constructed, and real-time data is collected through sensors to achieve precise mapping of the physical world. Second, the digital twin model is used to monitor and analyze workers' postures in real time, with algorithms processing the data to derive key posture parameters, such as body position and muscle activity levels. Finally, by integrating ergonomic principles, a postural load assessment model is established, providing scientific support for construction management, optimizing workflows, improving efficiency, and safeguarding workers' health. The research findings offer new insights into the application of digital twins in the construction field. Future work will focus on refining the model to enhance assessment accuracy and practicality, driving the intelligent development of the construction industry.

Keywords

pipe jacking construction / digital twins / worker health / job load assessment