"We aim improve the operation and maintenance process through prescriptive analytics by utilising eMaintenance and Industrial AI on the trucks working in the coal mines. We deliver algorithms developed in our eMaintenance lab", says Ramin Karim, professor in operations and maintenance technology at Luleå University of Technology.
With accurate analysis of data and reliable forecasts of the mechanical condition of the trucks, preventive maintenance can save large sums money when avoiding expensive repairs and long downtime.
"Unexpected repairs cause interruptions and breakdowns in production and therefore, maintenance costs in a mine could be 30-40 percent of the total recurring cost. Our technology can contribute to increased production and improved durability through better utilization of the plant and extended service life. In addition, more efficient maintenance results in lower operating costs", says Ramin Karim.
Professor Uday Kumar and Ramin Karim have worked for many years to develop international projects with large countries in sectors where Luleå University of Technology has very high competence.
"I was at a conference in Kolkata in India where this agreement with a pilot project for the Indian coal mining company Coal India Limited and the trucking company Caterpillar was discussed", says Uday Kumar.
Coal India Limited has around 1200 coal mines around India where 4-5,000 large trucks from the company Caterpillar are in operation.
This project will be implemented by the Center for Maintenance and Industrial Services and the research group in operation and maintenace and the hope for more projects is high. Discussions are already underway with the National Mineral Development Corporation, India's state counterpart to LKAB, with major ore mines and ironworks.