Faculty Publications

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    Wireless Monitoring of Environmental Parameters for Underground Mining using Internet of Things with LoRa Transceiver Module
    (Institute of Electrical and Electronics Engineers Inc., 2022) Kumar Reddy, S.; Naik, A.S.; Raj Mandela, G.
    The mining industry is known for valuable minerals all over the world and the way to get minerals is by mining below the surface. The production, productivity, and safety of underground mine environments are affected by the environmental factors of the mines. Mining in underground areas is at high risk with high accident rates due to environmental conditions such as dust, flammable gasses, and toxic gases exposed to workers. The other environmental factors that affect underground mines are temperature, humidity, air pressure, and fire. The proposed system makes use of the Internet of Things (IoT) with Long Range (LoRa) wireless communication technology in the underground mining environment to build an effective mine safety system. In this paper 433 MHz, Long Range (LoRa) transceiver module integrated with DHT 22 temperature sensor is used to monitor temperature and humidity implemented at a specific location to collect real-time environmental parameters. The results demonstrate that sensed environmental parameters data is acquired in real-time to monitor data with a certain distance from the transmitter in a wireless environment. The system can extend to raise an early warning of any hazardous events with the integration of gas sensors and also can connect the LoRa module gateway to a cloud database to monitor data from anywhere and at any time. The developed LoRa-based system can deploy in an underground mining area to monitor the real-time environmental parameters from the surface of the mine site by supervisors to avoid any hazards. © 2022 IEEE.
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    An Enhanced IoT and LoRa-Based Communication System for Underground Mines
    (Springer Science and Business Media Deutschland GmbH, 2023) Kumar Reddy, S.K.; Naik, A.S.
    The mining industry is well known for valuable minerals all over the world and the way to get minerals is by mining below the surface. Real-time monitoring of environmental parameters from underground mines is a very complex task to ensure safety. Accidents in the underground area are due to hazardous toxic gas spread beyond the threshold limit value at excavations. These mine gases are a threat to both mine workers’ health and the mine environment and are also very hard for miners to detect. Automation in the mining industry reduces hazardous accidents while improving efficiency and productivity. Adopting the Internet of Things (IoT) with Long Range (LoRa) wireless communication technology to build a robust long-range wireless communication system to monitor environmental parameters and hazardous events. To ensure a safe mine environment for mineworkers at the mine site, Artificial Intelligence techniques are an add-on to automation systems to build predictive modeling for an intelligent early warning alert system. However, current solutions are limited to monitoring, low computing power and processing capability, battery lifetime, suitable at the laboratory level, or reports events in a few cases. The proposed system is comprised of the IoT-based sensor modules, communication protocols, Long-Range (LoRa), and machine learning technologies to establish safe, reliable communication from the underground mine to the surface area. A reliable, robust, and cost-effective communication system should be required that monitors environmental parameters and predicts reports of unusual events by adopting new technology. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    A Systematic Review on Implementation of Internet-of-Things-Based System in Underground Mines to Monitor Environmental Parameters
    (Springer, 2024) Naik, A.S.; Kumar Reddy, S.K.; Raj, G.R.
    The automation in the mining industry by adopting Internet of Things (IoT) technology is great potential to improve safety and efficiency. The mining industry is recognized globally for its valuable resources (gold, coal, iron ore, etc.) which are obtained by mining below the surface. The productivity and safety of mine personnel are impacted by several environmental parameters in underground mines, such as toxic gases, flammable gases, elevated levels of carbon dioxide (CO2), and decreased levels of oxygen (O2) concentrations. The presence of these gases is a significant issue and needs to be dealt with suitably. There are various methods to monitor the percentage of gases and provide a suitable course of action in case of an increase in the threshold limit of gases. Each system has its limitations. Wireless monitoring systems are indispensable in underground mines. This paper presents the methodology to adopt IoT in underground mines to measure environmental parameters in underground mine areas, the structure of installation of sensors in underground mines, threshold limits of gases, and underground mine disasters which were caused by gas explosion accidents. Further, it evaluates wireless sensor networks (WSNs) techniques ZigBee and LoRa for underground mines applications. Subsequently, it proposed a real-time industrial safety system in underground mines with its working, effectiveness, and scope are discussed. © The Institution of Engineers (India) 2023.