Implementation of Edge Computing Model for the Processing of Data in Mines

Mining is one of the most dangerous industries. The risk factor involved in underground mining is exponentially higher than in other forms of mining, with the risk of mine collapse, hazardous gases, ventilation problems, mine inundation, etc. Internet of Things (IoT) can be a viable solution to monitor the working conditions of miners as well as in evacuation and rescue procedures in case of a mishap. This paper proposes a module (Rakshak module) that senses conditions inside a coal mine and sends data to managers above ground to monitor working conditions inside mines. The sensor module is attached to the suit’s collar neck, which workers wear in mines. This sensor data consists of carbon level, heart rate, oxygen saturation, temperature, and humidity are recorded and used for future trends and risk analysis. In order to tackle the problem of the slow data transmission rate, an edge computing model is used wherein multiple localized servers are placed across the mines and process the data on the network’s periphery. The proposed communication method reduces the time lag and logistical hassle involved in data transfer in a harsh environment. This will increase the overall safety of the miner. Also, the simulation results of the developed Rakshak module are predicted to reduce the number of accidents and mishaps inside mines.