IOT based Smart Helmet for Hazard Detection in mining industry

TL;DR

This paper presents an IoT-based smart helmet system that monitors air quality, detects hazardous events, and ensures miner safety in real-time to prevent accidents and fatalities in underground mining environments.

Contribution

It introduces an integrated wireless sensor network for real-time hazard detection and safety monitoring, including fall detection and helmet usage verification, tailored for underground mining safety.

Findings

Real-time detection of hazardous gases like CO, CH4, LPG

Fall detection system sends emergency alerts promptly

Helmet removal status is accurately monitored

Abstract

One of the most important parts of business, especially in the coal mining sector, is industrial safety. Suffocation, gas poisoning, object falls, roof collapses, and gas explosions are among the risks associated with underground mining. Therefore, air quality and the detection of hazardous events are crucial in the mining business. This technology offers a wireless sensor network so that base stations can keep an eye on the situation in underground mines in real time. It offers temperature and dangerous gases including CO, CH4, and LPG real-time monitoring. The main cause of mining deaths is that when they fall and lose consciousness for whatever reason, medical attention is not given to them in a timely manner. In order to solve this issue, the system sends an emergency notice to the supervisor in the event that a person falls down for any cause. Some employees are negligent when it comes to safety and don't wear helmets. Then, a miner's helmet removal status was successfully determined using a Limit switch.