Asian Mining Industry Accelerates Digital Transformation

Coal India’s exploration upgrades include 2D/3D seismic surveys that can reduce the need for boreholes by up to 50 percent, while machine-learning models such as Random Forest, XGBoost and neural networks interpret coal seams using gamma-ray, density and resistivity data.
At Uzbekistan’s Navoi Mining & Metallurgy Combinat, digitalisation has replaced much paper-based recordkeeping with automatically collected data on equipment performance, production tasks and technological processes, enabling faster analysis and access to operational information.
Shandong Heavy Industry Group presented five brands—Weichai, Sinotruk, Shacman, Shantui and Lovol—and tailored its equipment to Indonesian conditions, including powertrains for biofuel use, heavy-duty trucks for steep and frequently changing terrain, and electrification technologies spanning batteries, energy storage and recharging.
China’s smart-mining expansion includes more than 4,000 autonomous mining trucks operating in the country by the end of 2025, alongside a government target to establish a comprehensive smart-mining technology, equipment and management system by 2030.
A four-legged inspection robot displayed at the 2026 China Mining Conference was designed to autonomously navigate confined and hazardous underground spaces, adjusting its movements around obstacles and following preset routes.
Mining companies across Asia are rapidly adopting artificial intelligence, automation and smart sensors to transform how they extract resources. Coal India, Uzbekistan's Navoi Mining and China's mining sector are leading the shift toward safer, cleaner operations powered by real-time data and predictive systems.
India's exploration technology now uses 2D and 3D seismic surveys that cut borehole needs by up to 50 percent, while machine-learning models read coal seams from gamma-ray and density data according to KPMG. China has deployed more than 1,000 intelligent coal mines and 4,000 autonomous trucks, with plans for 2,000 more by 2025.
Coal India is modernizing mineral exploration by swapping costly boreholes for advanced seismic imaging. KPMG research shows 2D and 3D seismic surveys reduce borehole demand by up to 50 percent, cutting time and expense. Machine-learning models—Random Forest, XGBoost and neural networks—interpret coal seams using gamma-ray, density and resistivity data collected underground.
Beyond exploration, Coal India is rolling out predictive maintenance, automated dispatch systems and AI safety tools. The company is also expanding blast-free mining and underground production to lower environmental harm and boost worker protection.
At Uzbekistan's Navoi Mining & Metallurgy Combinat, digital systems have replaced paper-based logging. SCADA systems and smart-quarry technology now automatically capture equipment performance, production tasks and process data in real time, slashing analysis delays.
This shift enables faster decision-making and instant access to operational details. Workers no longer wait for manual reports; dashboards show live conditions across mines and mills, improving both safety and output.
China's mining sector is scaling autonomous technology at an unprecedented pace. By end-2025, China will operate more than 4,000 autonomous mining trucks alongside over 1,000 intelligent coal mines. The government targets a complete smart-mining system by 2030, covering technology, equipment and management protocols.
At the 2026 China Mining Conference, engineers unveiled a four-legged inspection robot built to explore confined underground spaces autonomously. The robot navigates obstacles and follows preset routes, eliminating human entry into hazardous zones.
Shandong Heavy Industry Group showcased five brands—Weichai, Sinotruk, Shacman, Shantui and Lovol—at an Indonesian mining exhibition. Each product line targets local needs: biofuel-compatible powertrains, heavy-duty trucks for steep terrain and electrified rigs with batteries and fast-charging systems.
The group's strategy makes mining greener and more efficient across Southeast Asia. Equipment is engineered for tropical conditions, rugged geography and rising demand for lower-carbon operations.
Publishers
14
Articles
17
Reach
31