Lora Based Smart System For Unsafe Event Detection In Mining Industry Using Iot And Tinyml

Abstract

Ensuring employee safety is paramount for businesses across various industries, with a particular emphasis on mining. It holds significance not only for the welfare of the workers but also for the overall prosperity of the corporation. The provision of clean and fresh air is imperative for the health and well-being of mining personnel. A conventional intelligent system model has been formulated specifically for the mining sector, incorporating LoRa technology to recognize potential hazards within the mining environment. The developed prototype has the capability to monitor air quality, humidity, temperature, as well as the temperature and heart rate of workers. The air quality is assessed by determining the saturation level of harmful gases like methane using an MQ4 gas sensor. Additionally, the DHT11 sensor measures atmospheric temperature and humidity. Monitoring for mining zone fires and landslides is facilitated through flame and accelerometer sensors. The prediction of accidents is achieved by employing.

TinyML and a machine learning model trained on data from various sensors within a sensor node. TinyML allows devices to make intelligent decisions locally, enhancing efficiency and preserving privacy by avoiding the need to upload data to the cloud. The IoT can be employed to automatically notify and respond to incidents at the scene. The monitoring system for mining industries involves two main components: the transmitter module and the receiver module, both utilizing IoT through LoRa technology. The transmitter module integrates a microcontroller with sensors such as ds18b20 for temperature and Pulse Sensors for heart rate, alongside a LoRa Wireless Transmitter. On the other hand, the receiver module comprises a microcontroller with LoRa reception capabilities and WIFI connectivity. The system facilitates online parameter monitoring and issues emergency warnings in the event of a hazardous incident, ensuring the safety of miners. We strongly recommend the implementation of this monitoring system in mining industries as a proactive measure. By utilizing the monitoring system, prompt actions and control measures can be implemented, enabling the examination of the impact of regulatory actions and facilitating scientific studies.