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IoT in the Mining Industry

| December 11, 2014

KazAtomProm partners with to Identify energy waste, flow deviations, and predict future system performance as a part of their Green Smart Mine program.

Cambridge, UK – 10th December 2014 – has partnered with KazAtomProm Khazakstan, the world’s largest uranium producer, on their Green Smart Mine innovation program. This collaboration has quickly resulted in reducing energy waste and improving flow balance which impacts production yield without requiring capital equipment addition or replacement.

KazAtomProm through the Institute for High Technologies, its R&D subsidiary based in Almaty, Kazakhstan, partnered with, the market leader in resilient communications infrastructure and data analytics software, to provide real time optimisation of critical well block equipment and overall system performance, across a vast area and under harsh operating conditions.

The Intelligent Mining solution was installed at KazAtomProm’s Taukent Mining and Chemical Enterprise, an in-situ operation extracting uranium oxide in South Kazakhstan. deployed its Brains Infrastructure at the well block sites, providing local wireless mesh networks, complemented by a long range wireless as the back haul network to enable collection of secure asset performance data over a wide geographical area.

Intelligence is delivered to KazAtomProm through, a web based analytics software application that delivers optimisation recommendations to the operators and other types of users in the mine. By leveraging a customisable and intuitive user interface, and with full mobile accessibility, users are able to gather insight into well pumping system efficiency, identify energy waste and track mine performance over time. It also analyses historical and real time data to deliver predictions related to well cleaning and flow targets.

Quote from: Prof. Serik Kozhakhmetov, Chief Executive Officer, Institute for High Technologies, 100% R&D subsidiary of KazAtomProm:

”…By analysing the data in real time through modern high performance computing systems, we are now able to identify energy waste, flow deviations and predict future system performance that was not possible before…………Institute for High Technologies & are now partnering to roll out the technology solution to mining sites across Kazakhstan.”



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