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@article{174840,
        author = {Kaushik Pahade and Dr. Jyotsna. S. Gawai and Ayush Merkhed},
        title = {A SMART SYSTEM FOR MINERS THAT DETECTS HAZARDOUS CONDITIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1622-1629},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174840},
        abstract = {Assurance of employee safety in underground mines remains a critical issue due to the presence of toxic gases, extreme environmental conditions, and unpredictable structural obstacles. Traditional security measures are often based on manual inspections and delayed risk detection, which increases employee risk. To address these concerns, real-time surveillance systems integrated into IoT technology provide an advanced approach to risk prevention and response. The system uses an alley sensor (MQ-7) for carbon monoxide and methane detection, a DHT11 sensor for monitoring temperature and humidity, and an ESP8266-FI module for rogue data transmission. In contrast to traditional security methods, this automated system continuously evaluates environmental conditions and classifies risks based on seriousness, ensuring immediate warnings and better decisions.
The proposed system provides an automatic mechanism to monitor gas mirrors in real-time and trigger an immediate warning when danger thresholds are exceeded. By reducing the reliance on manual checks, this technology improves security by enabling faster evacuation procedures for dangerous gas leaks. Integrating the system with the DHT11 sensor ensures real-time tracking of these parameters, helping to implement appropriate cooling or ventilation strategies for workers. This feature improves work comfort and reduces the chances of fever-related illnesses.
A key feature of this system is its ability to classify risks based on predefined severity levels. This classification helps distinguish between minor variations and serious threats so that the response is proportional to the risk. By categorizing risks into safe, medium, and high levels, the system streamlines emergency alerts and prevents unnecessary panic. This allows remote access to real-time security metrics and overcomes connection restrictions in underground environments. Supervisors can access data from anywhere, ensuring prompt intervention when necessary.
The system consumes minimal power, making it suitable for longer operation in underground mining conditions. Its cost-effectiveness allows accessibility for many mining companies, including businesses with limited budgets, providing a scalable and reliable solution for workplace safety. By ensuring continuous monitoring and immediate response, this IoT-based approach minimizes risk, improves employee protection, and optimizes operational efficiency. The results highlight the need for modernized security infrastructure to ensure that mining processes remain productive and safe.},
        keywords = {},
        month = {April},
        }