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Research Article

Year : 2018 | Volume: 2 | Issue: 2 | Pages: 1-5

Hazards Detection Using Smart Helmet Sensing Technology in the Mining Industry

S. Lavanya1*, A. Kishore Reddy B.Sreenivasu2

doi:10.24951/sreyasijst.org/2018021001

Corresponding author

S. Lavanya*

Department of Electronics and Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India.

  • 1. Department of Electronics and Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India.
  • 2. Department of Electronics and Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India.

Received on: 1/6/2019

Revised on: 1/6/2019

Accepted on: 1/6/2019

Published on: 1/6/2019

  • Hazards Detection Using Smart Helmet Sensing Technology in the Mining Industry, S. Lavanya, A. Kishore Reddy B.Sreenivasu., 1/6/2019, SREYAS International Journal of Scientists and Technocrats, 2(2), 1-5, http://dx.doi.org/10.18831/sreyasijst/12018021001.

    Published on: 1/6/2019

Abstract

In recent days coal mining has become a very dangerous activity that can result in a number of dangerous effects on the environment such as leakage of dangerous gases like methane, a known greenhouse gas, may be released into the air. Every day miners have to work in dark environment where there is possibility of raise in temperature and leakage of dangerous gases. Underground mining dangers effect miners include gas poisoning, suffocation, gas explosions and roof collapse. The improved safety features in our system increased the safety of the coal miners by alerting them about the upcoming dangerous hazards. The smart helmet has been developed which is able to detect the dangerous gases and raise in temperature levels in the mining industry Various parameters like Methane gas, Carbon monoxide gas, Nitrogen Dioxide, Temperature and Humidity are monitored for the safety of coal miners. These sensors should be fitted in the helmet of the coal miners. With the help of Arduino microprocessor we designed and developed a Smart Working Helmet that can save their lives. The leakage is detected with the help of DHT11 sensor, MQ-135 and MQ-7 gas sensors. Sensor sends a signal to micro controller. Then micro controller sends an active signal to other externally connected devices. A quick response rate is provided by this system.

Keywords

Coal mining, DHT-11 sensor, MQ-135 sensor, MQ-7 sensor, Arduino.