An IoT-Enabled System for Real-Time Confined Space Hazard Detection
DOI:
https://doi.org/10.29070/sz1tkz17Keywords:
Monitoring System, Hazardous Gases, Temperature, Iot-Based Confined, Multi-SensorAbstract
Confined spaces present significant occupational safety risks due to limited ventilation, restricted access, and the potential accumulation of hazardous gases, oxygen deficiency, and adverse thermal conditions. Conventional monitoring approaches often rely on standalone detectors and manual supervision, resulting in delayed hazard detection and response. This paper presents an IoT-based real-time confined space safety monitoring and hazard prevention system designed to continuously monitor hazardous gases, oxygen concentration, temperature, and humidity. The proposed system integrates multi-sensor data acquisition with a threshold-based hazard detection algorithm and cloud-based communication to enable real-time monitoring and automated alerts. Experimental validation was conducted in simulated confined environments under controlled conditions to evaluate system accuracy, responsiveness, and reliability. Results demonstrate high sensor accuracy with errors below 3%, hazard detection accuracy between 96% and 98%, low false alarm rates of 1–3%, and rapid alert delivery within 0.5 seconds for local alerts and 1.4 seconds for remote notifications. Comparative analysis shows superior performance over traditional monitoring systems, achieving an overall performance index of 93/100. The findings confirm that the proposed system provides an effective, reliable, and practical solution for proactive safety management in confined space environments.
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