| Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 10 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202561603001 | |
| Published online | 24 February 2025 | |
An IoT System for Monitoring and Alerting Safety in Coal Mines
1 Department of EIE, CVR College of Engineering, Ibrahimpatnam, Telangana, India
2 Department of EIE, CVR College of Engineering, Ibrahimpatnam, Telangana, India
3 Department of ECE, Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Telangana, India
4 Department of EIE, CVR College of Engineering, Ibrahimpatnam, Telangana, India
* Corresponding author: gopisettyramesh@gmail.com
Mines represent some of the most perilous workplaces globally, with numerous fatalities annually stemming from catastrophic explosions. Recent research indicates that, on average, approximately 12,000 individuals lose their lives in such mining disasters. It is imperative to continually monitor various factors like methane levels, temperature fluctuations, and fire hazards in underground mining operations. Given the intricate nature of coal mines and the diverse tasks undertaken within them, ongoing surveillance of the work environment is crucial. This study delves into the detection of harmful gases in critical areas and their impact on miners. Employing a real-time monitoring system facilitated by a wireless sensor network comprising multiple sensors, this research focuses on monitoring ambient conditions including temperature, vibrations, and toxic gas concentrations. Furthermore, this system offers early warnings, aiding miners in swiftly evacuating dangerous zones before any fatalities occur. Leveraging ZigBee technology, an IEEE 802.15.4 wireless networking standard well-suited for challenging environments, this system ensures effective communication within the mine.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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