Design Of An Intelligent Iot-Based Coal Mine Safety System

Abstract

Coal is a crucial element in various endeavors because to its substantial energy source. The energy source next to the coal mine is of significant value and importance. The emission of toxic gasses, moisture, and humidity are environmental conditions that make underground coal mining exceedingly dangerous and perhaps fatal. The lives of officials are endangered when these elements converge, leading to the establishment of a perilous environment. To address the existing issue, we have created a model capable of detecting unexpected natural boundaries in mines. Upon identifying a potential threat, it alerts the mine control center to enable the deployment of assistance. The website's data will consistently be up-to-date due to the Internet of Things. The LoRaWAN system, a MAC and multi-point standard, is beneficial for enterprises of a particular size. It facilitates the creation of semi-permanent remote connections with low-power devices through IoT applications. The LoRaWAN standard relates to a low-power wide-area network (LPWAN) system that is compatible with LoRa technology. LoRaWAN distinguishes itself from competition by improving LPWAN in adaptability, security, utility, and battery longevity. Employees in such location are likely to experience visual impairments and ultimately suffer from their injuries. The issue was addressed with the creation of an accelerometer employing MEMS technology.