Coal Mine Safety Monitoring and Alerting System with Smart Helmet

Author:

Rudrawar Mangesh,Sharma Shivam,Thakur Madhuri,Kadam Vivek

Abstract

Traditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the efficiency and safety of mineworkers. As a result, traditional monitoring methods cannot be relied on to ensure coal workers’ safety. This research represents a ZigBee-based wireless monitoring system using a smart helmet. The presented wireless monitoring system is capable of detecting and transmitting critical parameters in coal mines such as methane gas, high temperature, humidity, and fire. In an emergency, this monitoring system transmits distress signals. A buzzer will sound if emergency conditions are detected, and the monitored variables will be displayed on the user interface machine. Moreover, the Parameters are wirelessly transmitted to the control room, allowing people to determine the safety situation of the mine. This model is easily reprogrammable. Experiments have demonstrated the system’s reliability and stability.

Publisher

EDP Sciences

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fall Detection and Safety Accessory Monitoring System using Deep Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Computer‐Integrated Monitoring Technology with Support‐Decision of Unauthorized Disturbance of Methane Sensor Functioning for Coal Mines;Journal of Control Science and Engineering;2024-01

3. IoT and LoRa based Under Mining Surveillance System for Worker Health and Environment Monitoring;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

4. Power Efficient Intelligent Helmet for Coal Mining Security and Alerting;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

5. A Coal Mine Safety from Conventional to Modern Method Through LoRaWAN;E3S Web of Conferences;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3