TY - GEN
T1 - Worker Tracking Using Real-Time LiDAR Scanning for Offshore Construction Safety
AU - Zhang, Mingyu
AU - Yang, Yushu
AU - Li, Heng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025/6
Y1 - 2025/6
N2 - Offshore floating residences offer a future sustainable solution for coastal cities with limited land availability. However, the premise of floating residences relies on safe and efficient construction, which presents significant challenges due to the significant difference from on-land construction. The complex environmental factors such as waves, wind, and humidity make offshore construction highly difficult. Construction activities are disrupted by these intricate environmental factors, resulting in more safety risks and uncertainties compared to on-land construction. Therefore, worker activities in offshore construction require extensive monitoring and tracking. Traditional worker positioning and tracking methods, such as various tag sensors, may be difficult to deploy effectively on offshore platforms. This study proposes a real-time worker tracking method in offshore construction scenarios using LiDAR scanning. LiDAR scans the entire construction site in a contactless manner and identifies and locates multiple workers without requiring them to carry any positioning devices. An algorithm for worker identification, positioning, and tracking is developed based on LiDAR scanning data. The proposed method has been validated through on-site experiments, with results showing a positioning accuracy of 0.05 m based on real-time LiDAR scanning. This research provides essential safety monitoring capabilities for offshore construction and can further enhance worker safety in complex construction scenarios.
AB - Offshore floating residences offer a future sustainable solution for coastal cities with limited land availability. However, the premise of floating residences relies on safe and efficient construction, which presents significant challenges due to the significant difference from on-land construction. The complex environmental factors such as waves, wind, and humidity make offshore construction highly difficult. Construction activities are disrupted by these intricate environmental factors, resulting in more safety risks and uncertainties compared to on-land construction. Therefore, worker activities in offshore construction require extensive monitoring and tracking. Traditional worker positioning and tracking methods, such as various tag sensors, may be difficult to deploy effectively on offshore platforms. This study proposes a real-time worker tracking method in offshore construction scenarios using LiDAR scanning. LiDAR scans the entire construction site in a contactless manner and identifies and locates multiple workers without requiring them to carry any positioning devices. An algorithm for worker identification, positioning, and tracking is developed based on LiDAR scanning data. The proposed method has been validated through on-site experiments, with results showing a positioning accuracy of 0.05 m based on real-time LiDAR scanning. This research provides essential safety monitoring capabilities for offshore construction and can further enhance worker safety in complex construction scenarios.
KW - Construction safety
KW - Offshore construction
KW - Worker tracking
UR - https://www.scopus.com/pages/publications/105010155713
U2 - 10.1007/978-981-96-4569-5_16
DO - 10.1007/978-981-96-4569-5_16
M3 - Conference article published in proceeding or book
AN - SCOPUS:105010155713
SN - 9789819645688
T3 - Lecture Notes in Civil Engineering
SP - 167
EP - 174
BT - Proceedings of the 4th World Conference on Floating Solutions
A2 - Zhao, Xiao Lin
A2 - Dai, Jian-Guo
A2 - Liu, Siwei
A2 - Lim, Soon Heng
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th World Conference on Floating Structures, WCFS 2024
Y2 - 2 December 2024 through 4 December 2024
ER -