BUILDING THE INTELLIGENT OPERATIONS OF TOMORROW
- Hindustan Zinc is scaling digitalisation across mines and smelters.
- Advanced technologies are delivering measurable outcomes in safety, reliability, process stability, and cost, while improving operational continuity.
- Hindustan Zinc 2.0 priorities: Scale every flagship deployment across all sites, deepen AI integration, and build a solid foundation for scalable, tech-first operations.
Digital innovation is key to shaping the future of metals and mining. We are systematically embedding technologies like artificial intelligence (AI), automation, connected systems, and tele-remote technologies to build a smarter, safer, and more responsive enterprise. As we advance HZL 2.0, these advanced technologies and intelligence will enable us to operate a larger, more complex enterprise with the same precision, reliability, and cost-effectiveness.
How We Leveraged Artificial Intelligence in FY2026
Collision Avoidance System (CAS)
Currently piloted at Sindesar Khurd Mine, this modular, original equipment manufacturer independent solution improves situational awareness and reduces vehicle-to-vehicle and vehicle-to-person interaction risks.
It follows a layered, fail-safe approach by combining multiple sensing and communication technologies to enable reliable proximity detection and timely operator & pedestrian warnings as visual and audible alerts.
Smelter switchyard hotspot monitoring
Deployed an AI-based thermal and optical monitoring application that continuously scans critical high-load switchyard equipment. It enables real-time hotspot detection using infrared and optical feed, raises automated equipment-specific alerts along with tiered-criticality tagging and structured escalation of temperature anomalies.
AI-based pallet grate bar monitoring and interlocking
Implemented for sinter machine operations, this system enables real-time, intelligent monitoring of pallet grate bar condition, enabling early identification of abnormal situations and timely process intervention.
Seamlessly integrated with the plant control architecture, it supports condition-based maintenance, prevents grate bar-related unplanned stoppages, and strengthens the reliability of sinter operations.
AI-based human detection and crane interlocking system
Deployed an advanced computer vision system to monitor cellhouse areas where personnel work in proximity to moving cranes during activities such as manual cell cleaning.
It automatically interlocks with the crane to halt movement whenever a person enters the defined risk area.
Rock fragmentation analysis and foreign object detection
Implemented an AI vision-based analytics solution at the crusher and silo in Rampura Agucha Mine.
The system continuously analyses rock size distribution and identifies oversized boulders or foreign objects before they enter the crushing circuit.
Other Key Technological Deployments in FY2026
Wireless drilling water pressure monitoring
Deployed a LoRaWAN-enabled wireless pressure monitoring system at the drilling water pressure reducing stations (PRS) in Sindesar Khurd Mine (SKM).
The system transmits pressure data to cloud-based dashboards in real-time, providing continuous visibility of PRS performance for early detection of fluctuations, faster issue resolution, and improved accuracy in monitoring drilling water availability.
Tele-remote rock breaker and drilling
Implemented tele-remote operation technology for rock breaking at Rampura Agucha Mine and drilling in high-temperature environments at Rajpura Dariba Mines. It enables controlling these operations from a safe, ergonomically-designed remote station using high-definition cameras, real-time video streaming, and integrated control systems.
This ensures operator safety by removing them from high-risk underground zones, while improving operational continuity by enabling higher productivity and reducing equipment idle time.
Cell Temperature Monitoring System (CTMS)
Strengthened digital process visibility in our zinc jumbo cellhouses through individual cell outlet temperature monitoring. It helps detect abnormal thermal behaviour from low electrolyte flow, uneven operating conditions, localised hot/cold spots, and dendrite- or shorting-related disturbances.
Refer to the Health & Safety chapter for key digital interventions driving safety excellence.