Enhancing worker monitoring and management on large-scale construction sites with UAVs and digital twin modeling

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Mingqiao Han, Jihan Zhang, Yijun Huang, Jiwen Xu, Xi Chen, Ben M. Chen
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引用次数: 0

Abstract

Monitoring large-scale work sites is challenging, particularly in vast outdoor areas. Unmanned aerial vehicles (UAVs) provide an effective solution for site monitoring and worker management. This paper introduces a UAV-based framework integrated with digital twin (DT) modeling to enhance real-time data management and worker authorization verification. The pretrained YOLO-LCA model improved detection accuracy from 31.5% to 96.4%. The framework combines multi-object tracking with 3D site reconstruction, enabling precise global registration and situational awareness. Cross-referencing UAV detections with GPS-enabled worker IDs ensures that only authorized personnel are present, effectively identifying unapproved workers. The proposed framework has undergone large-scale validation across multiple construction projects in Hong Kong, demonstrating significant potential for modernizing work site management. By integrating UAVs and DT technology, this framework supports efficient monitoring, operational safety, and informed decision-making, providing a scalable approach to addressing the demands of large-scale construction site management.
利用无人机和数字孪生模型加强对大型建筑工地工人的监控和管理
监测大型工作场所具有挑战性,特别是在广阔的室外区域。无人机(uav)为现场监控和工人管理提供了有效的解决方案。本文介绍了一种集成了数字孪生(DT)建模的基于无人机的框架,以增强实时数据管理和工人授权验证。预训练的YOLO-LCA模型将检测准确率从31.5%提高到96.4%。该框架将多目标跟踪与3D站点重建相结合,实现精确的全球注册和态势感知。交叉引用无人机检测与启用gps的工人id,确保只有授权人员在场,有效识别未经批准的工人。建议的架构已在香港多个建筑项目中进行大规模验证,显示工地管理现代化的巨大潜力。通过集成无人机和DT技术,该框架支持高效监控、操作安全和知情决策,为解决大规模施工现场管理需求提供了可扩展的方法。
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来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
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