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BelAZ & ZYFRA to Develop Robotisation and AI Technologies for Mining Industry

Mining News - Published on Thu, 18 Jul 2019

Image Source: Mining Magazine
Global Mining Review reported that BelAZ, a manufacturer of quarry equipment and ZYFRA, a company which specialises in industry digitalisation, will jointly develop robotisation technologies for the mining industry and set up a research centre at BelAZ for innovation in the fields of artificial intelligence and autonomous transport. The strategic partnership agreement was signed on 10 July 2019 at the Innoprom-2019 international exhibition in Yekaterinburg by Mr Petr Parkhomchik, Chief Executive Officer of Belaz, and Mr Igor Bogachev, Chief Executive Officer of ZYFRA. The companies are already taking their first steps together in the areas highlighted in the agreement. VIST Group, a subsidiary of ZYFRA which develops solutions for the mining industry, and BelAZ have launched production of robotised dump trucks. The vehicles are being successfully used, in particular, in open pits operated by SUEK. Experience shows that, thanks to accurate tracking of the geotechnology parameters, fully autonomous and remotely controlled equipment improves transport efficiency by 20% while removing drivers from hazardous work zones. The company expects the solution will be highly demanded on the markets of Sub-Saharan Africa, Chile, Peru and India.

The collaboration between BelAZ and ZYFRA will have a particular focus on AI-based technologies. The companies plan to conduct joint studies of customer needs and an analysis of the global market for digital AI-based products in the mining industry, as a foundation for creating and improving their own developments in this field. Their immediate plans include working on a predictive analytics system for quarry equipment to help predict breakdowns by analysing historical data and carry out predictive maintenance.

In parallel, the two companies have mapped out joint steps in the development of industrial safety solutions. In particular, they are planning to test a driver fatigue tracking system using computer vision technologies.

Source :

Posted By : Sanju Moirangthem on Thu, 18 Jul 2019
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