TY - GEN
T1 - Real-time Locating System-enabled Digital Twin for Crane Operation Safety Monitoring on Construction Sites
AU - Li, Peisen
AU - Xie, Jingda
AU - Ding, Jiyuchen
AU - Zhao, Zhiheng
AU - Wu, Wei
AU - Huang, George Q.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/8
Y1 - 2024/8
N2 - Crane loads present a significant safety concern on construction sites. Numerous studies have employed the real-time locating system (RTLS) to identify crane load fall zones where crane loads may fall in the event of an accident. However, previous studies often assumed that the fall zone directly beneath the load was static and of a fixed size. In fact, the crane load fall zone is dynamic, varying with the movement of the crane jib and the geometric attribute of different crane loads. The dynamic identification of load fall zones to mitigate corresponding safety risks for on-site workers presents a complex challenge. In this paper, we design the RTLS-enabled digital twin for crane operation safety monitoring on construction sites for modular integrated construction (MiC). First, the improved algorithm is designed to dynamically identify the load fall zone associated with different prefabs. Second, we utilize an ultra-wideband (UWB) technology and time difference of arrival (TDoA) algorithm to pinpoint on-site workers in potential danger. Finally, safety warnings are provided to crane operators and onsite workers in potential danger zones to mitigate safety risks. Tests were conducted in a controlled laboratory environment to validate the proposed methodology. The results indicate that the system is effective in identifying dangerous zones, detecting worker proximity, and generating timely safety warnings, which can effectively mitigate safety risks on construction sites.
AB - Crane loads present a significant safety concern on construction sites. Numerous studies have employed the real-time locating system (RTLS) to identify crane load fall zones where crane loads may fall in the event of an accident. However, previous studies often assumed that the fall zone directly beneath the load was static and of a fixed size. In fact, the crane load fall zone is dynamic, varying with the movement of the crane jib and the geometric attribute of different crane loads. The dynamic identification of load fall zones to mitigate corresponding safety risks for on-site workers presents a complex challenge. In this paper, we design the RTLS-enabled digital twin for crane operation safety monitoring on construction sites for modular integrated construction (MiC). First, the improved algorithm is designed to dynamically identify the load fall zone associated with different prefabs. Second, we utilize an ultra-wideband (UWB) technology and time difference of arrival (TDoA) algorithm to pinpoint on-site workers in potential danger. Finally, safety warnings are provided to crane operators and onsite workers in potential danger zones to mitigate safety risks. Tests were conducted in a controlled laboratory environment to validate the proposed methodology. The results indicate that the system is effective in identifying dangerous zones, detecting worker proximity, and generating timely safety warnings, which can effectively mitigate safety risks on construction sites.
UR - http://www.scopus.com/inward/record.url?scp=85208224994&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711454
DO - 10.1109/CASE59546.2024.10711454
M3 - Conference article published in proceeding or book
AN - SCOPUS:85208224994
T3 - IEEE International Conference on Automation Science and Engineering
SP - 2689
EP - 2696
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -