AN INTERNET OF THINGS BASED ADVANCEDCOAL MINE SAFETY SYSTEMUSING WIRELESS SENSOR NETWORK

Abstract

This paper introduces a checking framework based on remote sensor organisation that can monitor the gas focus, temperature, and mugginess boundaries, and warn when the boundaries exceed the fixed value, taking into account the issues of danger, consumption, and mishaps in underground coal mineshaft construction. Today, the safety of diggers is put to the test. Digger's health and life are powerless in the face of a few basic concerns, including the work environment, as well as its long-term consequences. A creative technique is necessary to increase the productivity and lower the cost of mining while also considering the safety of workers. Coal mineshaft health monitoring system based on remote sensor organisation can accurately and conveniently represent the dynamic situation of employees in subterranean regions to the ground PC system and mobile unit. Semiconductor gas sensors are used to monitor the concentration of harmful gases. We are using a vibration sensor in this framework to detect any load that has fallen on the excavator's top. The approach also provides an early warning, which will be beneficial to those loaders working within the underground in order to save their lives before a setback occurs. For data transfer, the system makes use of Zigbee technology and GSM. For emergency purposes, there is a ready switch on the collection and transmitter sides.