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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      02 June 2023, Volume 38 Issue 3
    Article

    INTERNET OF THINGS BASED COAL MINE SAFETY MONITORING AND ALERTING SYSTEM
    T. Thilagavathi, Dr. L. Arockiam
    Journal of Data Acquisition and Processing, 2023, 38 (3): 2207-2222 . 

    Abstract

    Coal mining is a vital process of extracting the coal from ground, whereas cement industries and steel industries used coal as a fuel for extracting the iron from iron ore. The only factor in the mining business is safety and security. The mining industry takes many safeguards to prevent accidents of any kind, including steel accidents. Underground mining requires continuous monitoring of every parameter like methane gas, high temperature, fire accidents monitored. Disasters in coal mines are due to the complexity of the mining environment. So, it is very important to monitor the working environment of coal mines. Coal mine monitoring system that plays an important role in the safe production of coal mines. Due to the continuous expansion and deepening of the exploitation areas of coal mines, many paths are turning into blind areas, which have a lot of hidden dangers. To overcome this problem, advanced mechanisms have been proposed in this article to provide a coal mine safety monitoring system that can improve the monitoring level of production safety and reduce accidents in coal mines. This framework utilizes the consolidated activity of a temperature, tension, and gas sensor, as well as an IOT module, to identify the temperature, strain, and climate in the coal mineshaft, as well as to log all information to the cloud utilizing information logging. The designed kit will monitor the detection of gas, carbon di oxide, high temperature, etc., and transfer the recorded data to the mine workers and higher officials for early protection of workers. The overall experimentation was carried out in a think speak platform. The future work is about to avoid disconnection of signal to transfer the observed data from the sensors for better communication using WSN.

    Keyword

    Internet of things, mining, worker safety, Sensors, Alert


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ISSN 1004-9037

         

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