Sensor-based safety management

Amin Asadzadeh, Mehrdad Arashpour, Heng Li, Tuan Ngo, Alireza Bab-Hadiashar, Ali Rashidi

Research output: Contribution to journalReview ArticleResearchpeer-review

107 Citations (Scopus)

Abstract

The construction industry has one of the most hazardous working environments worldwide, which accounts for about 1 in every 5 occupational fatalities. The high rates of workplace injuries, illnesses and fatalities cause irreversible harm to workers and are often the source of delays and additional project costs. Improvements in sensor technologies, wireless communication, the processing power of computers, and advancements in machine learning and computer vision are now enabling the development of sensor-based safety management systems. The rapid growth of Building Information Modelling (BIM) has also created opportunities for improving safety management. While considerable progress has been made to improve construction safety, few studies have focused on the integration of sensor-based systems and BIM. This research, which is motivated by the development of such integrated methods, carries out a systematic review of the relevant literature, summarising recent developments of sensor-based safety management systems and advancements in safety management through BIM. The research gaps are identified and an outline for potential future research is provided. The results of the review reveal the potential of combining sensor-driven systems with BIM for improving safety management in construction.

Original languageEnglish
Article number103128
Number of pages16
JournalAutomation in Construction
Volume113
DOIs
Publication statusPublished - May 2020

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