ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed
Fast Publication within 48 hours || Low Article Processing Charges || Peer Reviewed and Referred Journal || Free Certificate
Continuous monitoring of coal mine dangers with an automated internet of things system
1 School of Economics and Management, Anhui University of Science and Technology, Huainan, China.
2 School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China.
3 School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China.
Research Article
International Journal of Science and Research Archive, 2024, 12(02), 1602–1620.
Article DOI: 10.30574/ijsra.2024.12.2.1411
Publication history:
Received on 23 June 2024; revised on 02 August 2024; accepted on 04 August 2024
Abstract:
The safety of mine workers is a major concern in the modern world. The life and health of miners are vulnerable against a few fundamental problems, such as their workplace and its adverse effects. A novel and inventive approach is needed to increase profitability and reduce mining costs while keeping worker safety in mind. For tracking the level of concentration of hazardous gases, semiconductor gas sensors are used. In the mine worker area, air contamination is primarily caused by outflows from particulate matter and gases, such as sulfur dioxide (SO 2), nitrogen dioxide (NO 2), carbon monoxide (CO) furthermore, the goal of this project is to design a real time IOT system that can monitor temperature, humidity, dangerous gasses, and smoke status in an underground mine utilizing sensors with an ODROID-N2+controller and designed a base station to receive data from all coal mines via the ODROID-N2+module. We also built a web-based interface accessible through computers and Android/iOS devices. The suggested system seamlessly integrates surveillance, analysis, and localization strategies using cloud computing, application gateways, real-time operational databases, Internet of Things (IoT), and application program interfaces to enhance the management of safety and prevent injuries in underground coal mines.
Keywords:
Internet of Things; Underground mines; Event detection; Warning index; Miner’s algorithm
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
