TY - GEN
T1 - Conceptual Framework Integration of Building Information Modelling (BIM) and Internet of Things (IOT) Technology in the Application of Construction Safety Management Systems in Construction Projects
AU - Putra, Wudi Darul
AU - Latief, Rusdi Usman
AU - Arifuddin, Rosmariani
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - The implementation of a construction safety management system is one of the main challenges in the construction industry which often faces high risks to worker safety. This research aims to integrate Building Information Modelling (BIM) and Internet of Things (IoT) technologies in the application of construction safety management systems in construction projects. BIM technology is used to provide comprehensive visualization of the construction process, while IoT allows for real-time data collection through smart devices to detect potential hazards in the field. The research methodology involves literature study, development of BIM-IoT integration systems, and testing on small-scale construction projects as case studies. The results of the research are expected to integrate BIM and IoT which can improve the efficiency of risk identification, monitoring of working conditions, and responding to incidents in real-time. In addition, the implementation of this system is expected to be able to reduce the potential for work accidents to above 35% based on simulation and testing data. The technology also allows project managers to make faster, more informed data-driven decisions. Thus, this research makes a significant contribution to the development of construction safety management technology, especially in the context of projects in Indonesia. The integration of BIM and IoT is recommended as an innovative solution to improve work safety and productivity in construction projects.
AB - The implementation of a construction safety management system is one of the main challenges in the construction industry which often faces high risks to worker safety. This research aims to integrate Building Information Modelling (BIM) and Internet of Things (IoT) technologies in the application of construction safety management systems in construction projects. BIM technology is used to provide comprehensive visualization of the construction process, while IoT allows for real-time data collection through smart devices to detect potential hazards in the field. The research methodology involves literature study, development of BIM-IoT integration systems, and testing on small-scale construction projects as case studies. The results of the research are expected to integrate BIM and IoT which can improve the efficiency of risk identification, monitoring of working conditions, and responding to incidents in real-time. In addition, the implementation of this system is expected to be able to reduce the potential for work accidents to above 35% based on simulation and testing data. The technology also allows project managers to make faster, more informed data-driven decisions. Thus, this research makes a significant contribution to the development of construction safety management technology, especially in the context of projects in Indonesia. The integration of BIM and IoT is recommended as an innovative solution to improve work safety and productivity in construction projects.
KW - Building Information Modelling (BIM)
KW - Construction Projects
KW - Construction Safety Management
KW - Innovative Technology
KW - Internet of Things (IoT)
UR - https://www.scopus.com/pages/publications/105013055569
U2 - 10.1007/978-981-96-8990-3_25
DO - 10.1007/978-981-96-8990-3_25
M3 - Conference contribution
AN - SCOPUS:105013055569
SN - 9789819689897
T3 - Lecture Notes in Civil Engineering
SP - 280
EP - 294
BT - Proceedings of the 9th International Conference on Civil Engineering, ICOCE 2025
A2 - Strauss, Eric J.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Civil Engineering, ICOCE 2025
Y2 - 22 March 2025 through 24 March 2025
ER -