Guardian Gear: Advancing Safely with Smart Mining Helmet

Author:

Madappa Eshwari AORCID, ,Prabhuswamy ORCID,Pratham M ORCID,Kumar K S SanathORCID,Sudeep G ORCID, , , ,

Abstract

This report describes a new kind of smart helmet for miners that uses a long-range LoRaWAN connection. The helmet provides a complete safety solution with its integrated GPS sensor for tracking location in real-time, temperature and humidity sensors for environmental monitoring, impact sensor for collision detection, and smoke sensor for early hazard identification. Reliable data transmission is ensured via LoRa WAN, even from sites far below the surface. Thanks to greater situational awareness, quicker emergency reaction times, and real-time monitoring, this data which includes location, environmental conditions, and potential hazards allows for safer mining operations. This smart helmet has the potential to drastically lower workplace accidents and improve worker safety by enabling data-driven safety management. It also makes the working environment for miners safer.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

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