E ISSN: 2583-049X
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International Journal of Advanced Multidisciplinary Research and Studies

Volume 3, Issue 6, 2023

Advances in Continuous Hazard Monitoring Systems for Workplace Safety



Author(s): Stephen Francis Obogo, Oghenepawon David Obriki, Oluwakemi Motunrayo Arumosoye

Abstract:

Continuous hazard monitoring systems have emerged as a critical component of modern workplace safety strategies, particularly in high-risk industrial environments such as manufacturing, construction, mining, and chemical processing. Traditional safety inspection models rely heavily on periodic assessments and manual reporting, which often fail to detect rapidly evolving hazards in real time. Recent technological advancements have enabled the development of intelligent monitoring frameworks that integrate Internet of Things (IoT) sensors, wireless communication networks, artificial intelligence, and cloud-based analytics to provide continuous, automated surveillance of workplace conditions. These systems are capable of tracking environmental variables including toxic gas concentration, temperature fluctuations, vibration levels, noise exposure, and worker proximity to hazardous zones. Furthermore, machine learning algorithms enhance predictive capabilities by identifying abnormal patterns and forecasting potential safety incidents before they occur. Advances in wearable safety devices, smart helmets, and connected personal protective equipment have also expanded the scope of hazard monitoring by enabling worker-centric safety data collection. Despite these innovations, challenges remain related to sensor reliability, data integration, cybersecurity, and system scalability in complex industrial settings. This review synthesizes recent developments in continuous hazard monitoring technologies, examines their architectural frameworks and analytical methodologies, and evaluates their effectiveness in improving occupational safety outcomes. In addition, the study highlights emerging trends such as edge computing, digital twins, and predictive safety analytics that are shaping the next generation of intelligent workplace safety systems. The findings provide insights into technological progress, implementation barriers, and future research directions for enhancing proactive hazard management in modern workplaces.


Keywords: Continuous Hazard Monitoring, Workplace Safety Systems, Internet of Things (IoT), Predictive Safety Analytics, Industrial Risk Management, Smart Wearable Safety Devices

Pages: 2742-2759

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