Konov Iliya
Papers
1
Total Citations
3
H-Index
1
About
Ilya Konov is a researcher whose work lies at the intersection of intelligent control systems, neuro-fuzzy algorithms, and the automation of mining transport. His primary research focus is on developing advanced computational architectures to manage the complex, real-time logistics of open-pit mining operations. His most cited work, "Possible Architecture and Some Neuro-Fuzzy Algorithms of an Intelligent Control System for Open Pit Mines Transport Facilities" (2019), tackles the critical challenge of organizing computational processes for unmanned transport in mineral extraction. This paper, with 3 citations, outlines a framework for integrating neuro-fuzzy logic to enhance decision-making in dynamic and hazardous environments. Konov’s contributions address the core problems of reliability and efficiency in autonomous mining fleets, aiming to reduce human risk and optimize resource flow. While his citation count is modest, his work is foundational for researchers and developers seeking to bridge the gap between theoretical control systems and practical, field-deployable solutions in the mining industry. His research represents a targeted effort to bring Industry 4.0 principles to one of the most demanding industrial sectors.
Research Focus
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Top Papers
- 1