Digital System for Forecasting Emissions Created in Russia’s Metallurgy Sector
The system is built using artificial intelligence and digital twin technology.
Russian mining and metals company Nornickel has developed a digital twin of a metallurgical furnace capable of forecasting production-related emissions. Company President Vladimir Potanin spoke about the project in an interview with the Russia-24 television channel.
According to him, the predictive system has proven more effective than conventional sensor-based monitoring. The company is now raising the question of formally introducing the concept of predictive emissions control into legislation.
Scaling to Other Areas
The emissions forecasting system, called Axioma, was developed using artificial intelligence and digital twins. It makes it possible not only to identify emissions after they occur, but also to predict them based on raw material preparation, furnace parameters, and atmospheric conditions.
Potanin added that talks are already underway with government agencies about applying the technology in other industries.
From a Resource Company to a Technology Company
Potanin also predicted a near-term breakthrough in the use of unmanned systems in mining operations at Nornickel facilities. According to him, becoming a more technology-driven company requires the active use of artificial intelligence.
