Unique Mining Technologies Unveiled in Moscow
The developments focus on digital transformation across the industrial sector.
The XXXIV International Scientific Symposium Nedelya Gornyaka – 2026 (Miners’ Week – 2026) is taking place in Moscow at the National University of Science and Technology MISIS. Representatives of the Cifra Group are among the participants.
The company develops technologies for industrial digital transformation, invests in new products, and builds ecosystems around the industrial Internet of Things and artificial intelligence. At the symposium, Cifra’s specialists presented a range of proprietary solutions for the mining industry.
A Unified View of the Mine and the Road “Skeleton”
Business solutions architect Andrey Cherechukin presented Tsifra. Gorny MES (Cifra Mining MES) during a thematic session. The system is described as the first domestically developed solution compliant with the ANSI/ISA95 standard and Russia’s import-independence requirements. The integrated platform provides a unified view of a mining enterprise’s performance, enables faster identification of bottlenecks, highlights growth levers, and helps optimize costs across extraction, transportation, and mineral processing. The solution can serve as a digital foundation for centralized control centers at mining and processing operations.
Viktor Maltsev, head of machine learning at Cifra, introduced a virtual driving assistant for haul trucks. Once connected to a power source, the assistant automatically determines the road graph and profile — its “skeleton” and side view with ascents and descents — calculates efficient driving modes, and displays recommendations through a plug-and-play graphical interface. The system also duplicates its advice via voice prompts.
Guidance for Haul-Truck Drivers
“Using the assistant helps cut fuel consumption by 5–10 percent, extend the service life of the vehicle’s frame and suspension, and increase tire lifespan by 2–3 percent. At the same time, it maintains the required average speed when the truck is fully loaded,” Maltsev said.
Dmitry Sizemov, chief technology officer at Tsifra Robotics, outlined criteria for next-generation systems that automatically adapt perception settings in autonomous haul trucks to changes in the terrain of industrial roads.
Earlier, we reported that researchers at the Perm National Research Polytechnic University had developed and patented an innovative transfer bunker for potash mines.
