360-degree health monitoring of miners and mining community of CCL
Funded by CSR, CCL, GoI.
(Grant No: CCL/SD & CSR/2022/785, Amount: 30,11,250.00)
PI: Dr. Sudip Kumar Sahana
Co-PI’s: Dr. Abhijit Mustafi, Dr. Debjani Mustafi, Dr. Subrajeet Mohapatra
Project Staffs: Ms. Kajal Kumari (JRF), Rohit Kumar (Field assistant)
Objectives:
- Crowd computing based intelligent environment monitoring of mine areas.
- Establishment of deep learning-based methods for early risk assessment of psychological wellbeing among adolescents and young adults of the mining community.
- IoT based miner health monitoring
Introduction:
Coal mining regions face severe environmental and health challenges, including air and water pollution and psychological stress. Emissions of CO, CO₂, SO₂, NO₂, PM₁₀, and PM₂.₅ contribute to chronic respiratory and cardiovascular diseases, while water contamination increases hardness, causing issues like kidney stones. Real-time sensors monitor air and water quality, and psychological surveys reveal stress, anxiety, and depression among miners, especially youth. The system also captures essential health parameters such as body temperature, pulse rate, blood pressure, blood sugar, heart rate, ECG readings, and miner location. Integrating this environmental and health data enables a 360-degree monitoring framework powered by machine learning, facilitating early intervention, targeted healthcare, and data-driven actions to improve well-being in mining communities
Methodology: Under this project, specific coal mines in KUJU colliery in Ramgarh district have been selected as site locations for sensor deployment to monitor air pollutants and miners’ health hazard predictive analysis. Similarly, sensors will be deployed in nearby water bodies to collect water quality data. During the survey phase, psychological stress data is also collected from young adults.
- Air quality monitoring using sensors at coal mine locations.
- Water quality assessment through sensor deployment in water bodies.
- Psychological stress data collected earlier from young adults.
- Health impact and predictive analysis using real-time health data.
With the help of deployed sensors, the impact of environmental factors on human health will be assessed, enabling comprehensive 360-degree health monitoring.
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