Wireless Sensor-Enabled Protective Jacket for Coal Mine Workers

This paper addresses critical safety deficiencies in modern mining operations by proposing a Wireless Sensor-Enabled (WSE) Mining Jacket utilizing Internet of Things (IoT) technology for personal, real-time miner protection. The jacket integrates sensors for real-time environmental monitoring, detecting harmful gases and hazardous substances. Critically, it identifies abnormal vibrations and seismic activity, mitigating the risk of severe injury from unanticipated ground events like landslides or mining-induced instability. Constructed around the ESP32 microcontroller for native Wi-Fi connectivity, the prototype uses ultrasonic and radio frequency (RF) sensors for communication and includes a GPS tracker. Each unit has a unique digital registration code, linking vital user details to the jacket for immediate and accurate emergency location tracking. This comprehensive, interconnected solution offers a substantial step forward in proactive miner safety.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-23
DOI
https://doi.org/10.5281/zenodo.18348215
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Wireless Sensor-Enabled Protective Jacket for Coal Mine Workers

Megha Upase, Prof. Sanjeev Kumar R. A., Ritesh Reure, Rajesh T Mane et al.
Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

Wireless Sensor-Enabled Protective Jacket for Coal Mine Workers

Megha Upase, Prof. Sanjeev Kumar R. A., Ritesh Reure, Rajesh T Mane, Yuvaraj
article en

Abstract

This paper addresses critical safety deficiencies in modern mining operations by proposing a Wireless Sensor-Enabled (WSE) Mining Jacket utilizing Internet of Things (IoT) technology for personal, real-time miner protection. The jacket integrates sensors for real-time environmental monitoring, detecting harmful gases and hazardous substances. Critically, it identifies abnormal vibrations and seismic activity, mitigating the risk of severe injury from unanticipated ground events like landslides or mining-induced instability. Constructed around the ESP32 microcontroller for native Wi-Fi connectivity, the prototype uses ultrasonic and radio frequency (RF) sensors for communication and includes a GPS tracker. Each unit has a unique digital registration code, linking vital user details to the jacket for immediate and accurate emergency location tracking. This comprehensive, interconnected solution offers a substantial step forward in proactive miner safety.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 80%
IoT and GPS-based Vehicle Safety Systems
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