Tata Steel’s Noamundi Mine in Jharkhand has reached a significant milestone of completing a century in mining. This achievement also marks the mine’s transition from traditional mining practices to AI-driven technologies, ensuring efficiency, safety, and sustainability. In an exclusive interview with DB Sundara Ramam, vice president (raw materials) at Tata Steel, he shared insights on how the mine has embraced AI to improve its operations.
According to Ramam, Noamundi Mine utilizes AI models to analyze geological data, enabling precise target mining and resource optimization. This data-driven approach helps identify areas with high mineral concentration, minimizing waste and maximizing extraction efficiency. He also mentioned that AI-based imaging techniques are employed to detect boulders on dumpers and prevent jams in the crushers, reducing the risk of manual intervention and potential safety hazards.
The mine has also implemented AI models under its maintenance technology roadmap to improve plant reliability and minimize downtime. These models predict potential equipment failures, enabling proactive maintenance and reducing unplanned shutdowns. Ramam is optimistic about the implementation of AI at the mine, stating that it has resulted in several benefits, such as increased efficiency, enhanced safety, reduced costs, and improved sustainability.
Ramam also spoke about the role of machine learning in mining, where OEMs have set specific vibration thresholds for machines, which are programmed into the sensors. However, there is also a layer of human input, where experience and consultations with OEMs have helped fine-tune the system’s response by adding specific conditions and data points.
The mining industry is moving towards digital mines, resulting in real-time connectivity between equipment systems and enabling real-time analysis and decision-making. Real-time IoT and analytics solutions are being used in various industries such as mining, power generation, ports, construction sites, and irrigation to ensure safety, reliability, and compliance with environmental standards. These solutions provide real-time monitoring and extrapolation of dust and moisture, and also play a significant role in safety monitoring by detecting blind spots.
Ramam concludes by stating that the use of AI at Noamundi Mine demonstrates the company’s commitment to innovation and continuous improvement. By leveraging the power of AI, the mine is paving the way for a more efficient, safe, and sustainable future for its mining operations.
