Case Study: Underground Digitalisation at Rampura Agucha

Why It Matters

Automation cuts operating costs and emissions, giving Hindustan Zinc a competitive edge as regulators and investors demand greener, more efficient mining practices.

Key Takeaways

• Rampura Agucha becomes India’s first fully automated underground zinc‑lead fleet
• Connected sensors deliver real‑time data for predictive maintenance
• Diesel use drops 15% thanks to electric‑assist haul trucks
• Productivity rises 12% while workforce safety improves
• Digital platform sets benchmark for low‑emission mining in Asia

Pulse Analysis

India’s mining landscape is undergoing a rapid digital transformation, and Hindustan Zinc’s Rampura Agucha project is a flagship example. By retrofitting more than 30 underground haul trucks with autonomous navigation modules and integrating them into a cloud‑based fleet management system, the company has created a data‑rich environment where every ton moved is tracked, analyzed, and optimized. This shift mirrors global trends where operators replace legacy diesel‑heavy fleets with hybrid or electric‑assist vehicles, reducing fuel spend and meeting tightening emissions standards.

The operational gains are tangible. Early pilot data indicate a 12% increase in cycle time efficiency, translating into higher output without expanding the workforce. Predictive maintenance algorithms, fed by vibration, temperature, and fuel‑consumption sensors, have cut unplanned downtime by roughly 20%, allowing crews to focus on higher‑value tasks such as equipment calibration and safety oversight. Moreover, the low‑emission powertrain—combining diesel engines with battery storage—has slashed diesel consumption by 15%, delivering both cost savings and a smaller carbon footprint, a critical factor as India tightens its mining‑related environmental regulations.

Strategically, the digitalisation of Rampura Agucha strengthens Hindustan Zinc’s market positioning. Investors increasingly favor ESG‑compliant producers, and the company’s transparent reporting of emissions reductions and safety improvements enhances its credibility. The project also creates a replicable blueprint for other Indian and Asian miners seeking to modernize legacy underground operations. As the sector moves toward greater automation, data‑driven decision‑making will become a core competency, and Hindustan Zinc’s early adoption may set the standard for a more sustainable, efficient future in metal extraction.