IoT-Based Industrial Safety Management Systems

Year : 2025 | Volume : 12 | Issue : 01 | Page : 18 22
    By

    Jinendra Kumbhakarna,

  • Kiran Gunde,

  • Syeda Madiha,

  • Rutuja Ghatge,

  • Sneha Dhotre,

  • Maroti Puskar,

Abstract

The integration of the Internet of Things (IoT) in industrial safety management has transformed workplace safety by enabling real-time monitoring, predictive analytics, and automated hazard mitigation. IoT-Based Industrial Safety Management Systems utilize interconnected sensors, wearable devices, and intelligent analytics platforms to proactively detect and respond to potential risks in high-risk environments such as manufacturing, oil and gas, and construction. These systems continuously monitor critical safety parameters, including temperature, pressure, gas leaks, and worker health, providing actionable insights to prevent accidents and improve risk management. This research investigates the architecture, implementation, and benefits of IoT-driven safety management systems. The proposed framework integrates sensor-based hazard detection, wearable safety devices, and centralized dashboards for real-time visualization and automated alerts. By leveraging machine learning algorithms, the system analyzes historical and live data to predict potential safety incidents, allowing for timely interventions and reducing workplace hazards. Additionally, cloud-based platforms ensure scalable data storage, seamless accessibility, and enhanced decision-making capabilities for large-scale industrial operations. The study also examines key challenges in IoT adoption, including cybersecurity vulnerabilities, data privacy concerns, and interoperability issues. To address these challenges, secure communication protocols, advanced encryption techniques, and standardized frameworks are proposed to enhance system resilience and reliability. IoT-Based Industrial Safety Management Systems represent a paradigm shift in workplace safety by minimizing human error, optimizing emergency response, and fostering a preventive safety culture. This research concludes that adopting such systems significantly reduces workplace injuries, fatalities, and operational costs, making them a critical component of Industry 4.0. Future work will explore the integration of artificial intelligence and edge computing to further enhance real-time processing, predictive accuracy, and system responsiveness.

 

Keywords: Internet of Things (IoT), industrial safety, safety management systems, hazard detection, wearable technology, predictive analytics, real-time monitoring, machine learning, cloud-based safety solutions, cybersecurity in IoT, smart sensors, risk assessment and mitigation

[This article belongs to Journal of Industrial Safety Engineering ]

How to cite this article:
Jinendra Kumbhakarna, Kiran Gunde, Syeda Madiha, Rutuja Ghatge, Sneha Dhotre, Maroti Puskar. IoT-Based Industrial Safety Management Systems. Journal of Industrial Safety Engineering. 2025; 12(01):18-22.
How to cite this URL:
Jinendra Kumbhakarna, Kiran Gunde, Syeda Madiha, Rutuja Ghatge, Sneha Dhotre, Maroti Puskar. IoT-Based Industrial Safety Management Systems. Journal of Industrial Safety Engineering. 2025; 12(01):18-22. Available from: https://journals.stmjournals.com/joise/article=2025/view=232938


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Regular Issue Subscription Original Research
Volume 12
Issue 01
Received 14/02/2025
Accepted 28/02/2025
Published 10/03/2025
Publication Time 24 Days
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