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 [1 ]
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.
引用
收藏
页码:49 / 59
页数:11
相关论文
共 23 条
  • [1] Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
    Abioye, Sofiat O.
    Oyedele, Lukumon O.
    Akanbi, Lukman
    Ajayi, Anuoluwapo
    Delgado, Juan Manuel Davila
    Bilal, Muhammad
    Akinade, Olugbenga O.
    Ahmed, Ashraf
    [J]. JOURNAL OF BUILDING ENGINEERING, 2021, 44
  • [2] Occupational accidents and injuries in construction industry in Jeddah city
    Abukhashabah, Emad
    Summan, Ahmed
    Balkhyour, Mansour
    [J]. SAUDI JOURNAL OF BIOLOGICAL SCIENCES, 2020, 27 (08) : 1993 - 1998
  • [3] System architecture to bring smart personal protective equipment wearables and sensors to transform safety at work in the underground mining industry
    Adjiski, Vancho
    Despodov, Zoran
    Mirakovski, Dejan
    Serafimovski, Dalibor
    [J]. RUDARSKO-GEOLOSKO-NAFTNI ZBORNIK, 2019, 34 (01): : 37 - 44
  • [4] Wearable Sensing Technology Applications in Construction Safety and Health
    Ahn, Changbum R.
    Lee, SangHyun
    Sun, Cenfei
    Jebelli, Houtan
    Yang, Kanghyeok
    Choi, Byungjoo
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2019, 145 (11)
  • [5] Critical Success Factors for Safety Program Implementation among Construction Companies in Saudi Arabia
    Al Haadir, S.
    Panuwatwanich, K.
    [J]. PROCEEDINGS OF THE TWELFTH EAST ASIA-PACIFIC CONFERENCE ON STRUCTURAL ENGINEERING AND CONSTRUCTION (EASEC12), 2011, 14
  • [6] Identifying and Assessing Health and Safety Program Implementation Barriers in the Construction Industry: A Case of Saudi Arabia
    Al-Otaibi, Ali
    Kineber, Ahmed Farouk
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (04):
  • [7] Impact of emotional intelligence on the stress and safety of construction workers' in Saudi Arabia
    Alsulami, Hemaid
    Serbaya, Suhail H.
    Rizwan, Ali
    Saleem, Muhammad
    Maleh, Yassine
    Alamgir, Zobia
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2023, 30 (04) : 1365 - 1378
  • [8] Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System
    Antwi-Afari, Maxwell Fordjour
    Li, Heng
    Umer, Waleed
    Yu, Yantao
    Xing, Xuejiao
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2020, 146 (07)
  • [9] Smart Vest for Real-Time Postural Biofeedback and Ergonomic Risk Assessment
    Cerqueira, Sara M.
    Da Silva, Alexandre Ferreira
    Santos, Cristina P.
    [J]. IEEE ACCESS, 2020, 8 : 107583 - 107592
  • [10] 100 Years of Occupational Safety Research: From Basic Protections and Work Analysis to a Multilevel View of Workplace Safety and Risk
    Hofmann, David A.
    Burke, Michael J.
    Zohar, Dov
    [J]. JOURNAL OF APPLIED PSYCHOLOGY, 2017, 102 (03) : 375 - 388