基于数字孪生的顶管施工作业人员姿态负荷评估方法研究

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

摘要

探讨了基于数字孪生技术的顶管施工作业人员姿态负荷评估方法。数字孪生通过构建与现实世界对象对应的虚拟模型，实现对物理实体的实时监测、分析和优化。在顶管施工中，作业人员的姿态负荷直接影响工作效率和安全性。为此，提出了一种基于数字孪生的评估方法。首先，构建了包括作业人员、设备和环境的数字孪生模型，并通过传感器收集实时数据，实现对物理世界的精确映射。其次，利用数字孪生模型实时监测和分析作业人员姿态，通过算法处理得出关键姿态参数，如身体姿势和肌肉活动程度。最后，结合人体工程学原理，建立姿态负荷评估模型，为施工管理提供科学依据，优化施工流程，提高效率和保障人员健康。研究结果为数字孪生在施工领域的应用提供了新思路，未来将进一步完善模型，提升评估精度和实用性，推动施工行业的智能化发展。

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.

关键词

顶管施工 / 数字孪生 / 人员健康 / 作业负荷评估

Key words

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

Author summay

毛三军(1970—), 男, 正高级工程师, 硕士, 主要研究方向为水利水电工程智能化与信息技术。E-mail: [e-mail]

基金资助

国家自然科学基金面上项目(52179136)

中国长江三峡集团有限公司企业科研项目(202103551)