Spatio-temporal heat risk analysis in construction: Digital twin-enabled monitoring

被引:0
|
作者
Kim, Yoojun [1 ]
Ham, Youngjib [2 ]
机构
[1] Texas A&M Univ, Dept Construct Sci, College Stn, TX USA
[2] Seoul Natl Univ, Dept Civil & Environm Engn, Seoul, South Korea
基金
美国国家科学基金会;
关键词
Construction safety; Heat risk; Digital twin; Microclimate simulation; MEAN RADIANT TEMPERATURE; OUTDOOR THERMAL COMFORT; SOLAR-RADIATION; STRESS; WORKERS; MODEL; ENVIRONMENTS; MANAGEMENT; SYSTEM; HOT;
D O I
10.1016/j.autcon.2024.105805
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To effectively mitigate heat risks, it is crucial to pinpoint areas of high vulnerability and assess the severity of heat-related threats to construction workers. This paper advances the understanding of heat risks in construction by mapping the associated risks across time and space to support informed decision-making. This paper presents a framework for heat risk monitoring, enabled by a construction site digital twin. This framework leverages geometric modeling, incorporates real-time weather data from a weather station, and utilizes computational simulations for assessing spatio-temporal heat risks. Its effectiveness was validated through a case study in Stephenville, Texas, USA, where it demonstrated superior fidelity when compared to using the conventional black-globe thermometer. Moreover, the results substantiated that incorporating the spatio-temporal variability of heat risks enhances heat risk surveillance in construction workplaces. This approach offers practical insights into imminent heat-related threats, aiming to prevent potential heat-related accidents in construction.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Engineering Digital Twin-Enabled Systems
    Clark, Tony
    Kulkarni, Vinay
    Whittle, Jon
    Breu, Ruth
    IEEE SOFTWARE, 2022, 39 (02) : 16 - 19
  • [2] Digital twin-enabled machining process modeling
    Liu, Jinfeng
    Wen, Xiaojian
    Zhou, Honggen
    Sheng, Sushan
    Zhao, Peng
    Liu, Xiaojun
    Kang, Chao
    Chen, Yu
    ADVANCED ENGINEERING INFORMATICS, 2022, 54
  • [3] Digital Twin-Enabled Internet of Vehicles Applications
    Gao, Junting
    Peng, Chunrong
    Yoshinaga, Tsutomu
    Han, Guorong
    Guleng, Siri
    Wu, Celimuge
    ELECTRONICS, 2024, 13 (07)
  • [4] Digital twin-enabled machining process modeling
    Liu, Jinfeng
    Wen, Xiaojian
    Zhou, Honggen
    Sheng, Sushan
    Zhao, Peng
    Liu, Xiaojun
    Kang, Chao
    Chen, Yu
    Advanced Engineering Informatics, 2022, 54
  • [5] Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance
    Lu, Qiuchen
    Xie, Xiang
    Parlikad, Ajith Kumar
    Schooling, Jennifer Mary
    AUTOMATION IN CONSTRUCTION, 2020, 118
  • [6] Digital Twin-Enabled Infrastructures: A Bibliometric Analysis-Based Review
    Taherkhani, Roohollah
    Ashtari, Mohammad Amin
    Aziminezhad, Mohamadmahdi
    JOURNAL OF INFRASTRUCTURE SYSTEMS, 2024, 30 (01)
  • [7] A digital twin-enabled digital spare parts supply chain
    Peron, Mirco
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024,
  • [8] Digital twin-enabled smart modular integrated construction system for on-site assembly
    Jiang, Yishuo
    Li, Ming
    Guo, Daqiang
    Wu, Wei
    Zhong, Ray Y.
    Huang, George Q.
    COMPUTERS IN INDUSTRY, 2022, 136
  • [9] Digital twin-enabled synchronized construction management: A roadmap from construction 4.0 towards future prospect
    Jiang, Yishuo
    Su, Shuaiming
    Zhao, Shuxuan
    Zhong, Ray Y.
    Qiu, Waishan
    Skibniewski, Miroslaw J.
    Brilakis, Ioannis
    Huang, George Q.
    DEVELOPMENTS IN THE BUILT ENVIRONMENT, 2024, 19
  • [10] Digital Twin-Enabled Machine Learning for Smart Manufacturing
    Jain, Sanjay
    Narayanan, Anantha
    SMART AND SUSTAINABLE MANUFACTURING SYSTEMS, 2023, 7 (01): : 111 - 128