Industrial Safety Monitoring System by Solenoid Valve using IoT

This project introduces an IoT-based Industrial Safety Monitoring System designed to enhance workplace safety by addressing risks such as equipment failures, toxic gas leaks and extreme environmental conditions. The system employs IoT sensors to monitor parameters like gas levels, temperature, pressure and vibrations in real-time transmitting data via wireless protocols to a centralized platform for processing. Advanced analytics and machine learning enable early detection of anomalies, predictive maintenance and proactive alerts to workers and supervisors via web or mobile interfaces. Additionally, wearable devices ensure worker health by tracking vital signs and locations. In critical situations, the system initiates automated emergency responses such as alarms, equipment shutdowns or evacuation protocols, reducing accidents and downtime. Scalable, adaptable and cost effective. This solution not only improves industrial safety but also supports regulatory compliance and operational efficiency.

Authors

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/icicv64824.2025.11085468
Citations
1
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
1.30
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article

Industrial Safety Monitoring System by Solenoid Valve using IoT

R Abinesh, D. Gokulakannan, T L Kayathri, Dharun Pranay R R et al.
1 citations
Fire Detection and Safety Systems
1.30
article

Industrial Safety Monitoring System by Solenoid Valve using IoT

R Abinesh, D. Gokulakannan, T L Kayathri, Dharun Pranay R R, Abishek Kumar B
article en
1 citations

Abstract

This project introduces an IoT-based Industrial Safety Monitoring System designed to enhance workplace safety by addressing risks such as equipment failures, toxic gas leaks and extreme environmental conditions. The system employs IoT sensors to monitor parameters like gas levels, temperature, pressure and vibrations in real-time transmitting data via wireless protocols to a centralized platform for processing. Advanced analytics and machine learning enable early detection of anomalies, predictive maintenance and proactive alerts to workers and supervisors via web or mobile interfaces. Additionally, wearable devices ensure worker health by tracking vital signs and locations. In critical situations, the system initiates automated emergency responses such as alarms, equipment shutdowns or evacuation protocols, reducing accidents and downtime. Scalable, adaptable and cost effective. This solution not only improves industrial safety but also supports regulatory compliance and operational efficiency.

Affordable and clean energy
Openalex Percentile: Top 19%
Fire Detection and Safety Systems
1.30
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