Yamini N. Deshvena,
Raju R. Kulkarni,
- Assistant Professor, Civil Engineering Department, Shri Shivji Institute of Engineering & Management Studies, Parbhani, Maharashtra, India, ,
- Assistant Professor, Civil Engineering Department, Shri Shivji Institute of Engineering & Management Studies, Parbhani, Maharashtra, India, ,
Abstract
‘]
This research explores the innovative application of internet of things (IoT) technology within
occupational health and safety management systems (OHSMS) to substantially improve real-time
monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed
to enable continuous and thorough collection of data on environmental conditions, equipment status,
and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid
identification and mitigation of potential hazards, such as exposure to harmful gases, extreme
temperatures, high noise levels, and ergonomic risks. This proactive method enhances workplace safety
and operational efficiency by reducing downtime and preventing costly incidents. The study highlights
several key benefits of proactive hazard detection, including enhanced worker safety, decreased
accident rates, and better compliance with safety regulations. It also stresses the importance of
predictive maintenance, achieved by analyzing IoT data to foresee equipment failures before they
happen. This approach helps extend machinery lifespan and reduce maintenance costs. Integrating IoT
within OHSMS promotes a culture of continuous improvement, where safety practices are constantly
updated based on real-time insights. Furthermore, the research highlights the importance of making
informed decisions based on accurate and timely data. Detailed reports and alerts provided by IoT
systems enable managers and safety officers to adopt a more responsive and adaptive approach to
safety management. This leads to better resource allocation, optimized workflow processes, and a more
vigilant and engaged workforce. By showcasing the transformative impact of IoT on traditional safety
management systems, this research demonstrates the potential for IoT technology to revolutionize
occupational health and safety. The findings suggest that IoT-enabled OHSMS can lead to safer and
more efficient industrial operations, contributing to a healthier work environment and a more
productive workforce. The study also addresses challenges associated with implementing IoT solutions,
such as data privacy concerns, the necessity for robust cybersecurity measures, and the importance of
employee training and acceptance. Overall, this comprehensive analysis provides valuable insights into
integrating IoT within OHSMS and its significant implications for enhancing workplace safety and
operational performance in industrial environments.
Keywords: Internet of things (IoT), real-time monitoring, risk management, worker safety, smart sensors, machine learning, proactive safety measures, hazard detection, safety automation, occupational health and safety management systems (OHSMS), environmental monitoring.
[This article belongs to Journal of Industrial Safety Engineering (joise)]
Yamini N. Deshvena, Raju R. Kulkarni. IoT-enhanced Real-time Monitoring and Hazard Detection. Journal of Industrial Safety Engineering. 2024; 11(02):20-24.
Yamini N. Deshvena, Raju R. Kulkarni. IoT-enhanced Real-time Monitoring and Hazard Detection. Journal of Industrial Safety Engineering. 2024; 11(02):20-24. Available from: https://journals.stmjournals.com/joise/article=2024/view=170969
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Journal of Industrial Safety Engineering
| Volume | 11 |
| Issue | 02 |
| Received | July 25, 2024 |
| Accepted | July 31, 2024 |
| Published | August 3, 2024 |