Use of Artificial Intelligence in Occupational Health and Safety in Construction Industry: A Proposed Framework for Saudi Arabia
被引:0
作者:
Khahro, Shabir Hussain
论文数: 0引用数: 0
h-index: 0
机构:
Prince Sultan Univ, Coll Engn, Dept Engn Management, Riyadh, Saudi ArabiaPrince Sultan Univ, Coll Engn, Dept Engn Management, Riyadh, Saudi Arabia
Khahro, Shabir Hussain
[1
]
Khahro, Qasim Hussain
论文数: 0引用数: 0
h-index: 0
机构:
Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, Jamilus Res Ctr, Batu Pahat 86400, Johor, MalaysiaPrince Sultan Univ, Coll Engn, Dept Engn Management, Riyadh, Saudi Arabia
Khahro, Qasim Hussain
[2
]
机构:
[1] Prince Sultan Univ, Coll Engn, Dept Engn Management, Riyadh, Saudi Arabia
[2] Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, Jamilus Res Ctr, Batu Pahat 86400, Johor, Malaysia
来源:
INDUSTRIAL ENGINEERING AND APPLICATIONS-EUROPE, ICIEA-EU 2024
|
2024年
/
507卷
关键词:
Construction Safety;
Artificial Intelligence;
Big Data;
Worker Health;
Future Technologies;
WORK;
D O I:
10.1007/978-3-031-58113-7_5
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Occupational accidents have always been very important for all industries due to its significant impacts on projects and society. Whereas the case in construction industry is also similar due to higher number of occupational accidents recorded in various countries. In current dynamic technological era, conventional Health and Safety (H&S) practices are not sufficient thus new approaches are important to explore. It is observed from the detailed literature review that there are various existing tools designed by various researcher in different scenario but there is a lack to device an integrated approach. Therefore, this paper proposes an integrated approach to monitor the H&S at site. The proposed framework will help the decision makers to manage and monitor the health and safety practices at site in a real time environment.