Mining Engineer with over 10 years of experience in management roles overseeing operations, financial-economic control, and conducting due diligence. Expertise encompasses work in underground mining such as block caving and sublevel stoping, open pits, and quarries. Additionally, serves as an advisor to technology companies providing services to the mining industry. As a member of the Research Group at Camborne School of Mines, University of Exeter (UK), focuses on creating new technological trends for the industry. Currently working as a PhD researcher, specialising in innovation and the development of IoT systems for monitoring and optimising fleets of mining equipment. Applies advanced data analysis techniques to increase the productivity of mining operations.
The cost of mining in mining companies represents approximately 40 to 50% of the total cost. Considering that the majority of mines around the world employ trucks and shovels for material extraction, the use of fleet management systems becomes absolutely necessary in order to control the cost of operations. Large-scale companies have been utilising technological tools for the past 45 years. However, there is a technological gap in the sector, as smaller producers do not have access to machinery control and management tools that would allow them to reduce costs and improve their benefits. KMO-Fleet is a company that was born as a spin-off from a doctoral study at Camborne School of Mines, where the best way to overcome this gap was sought by decreasing the cost of hardware, which enables data capture without requiring data communication systems. The presentation will showcase the capabilities of the KMO-Fleet system and the impact that the installation of such a system has on mines.