With increasing pressure on commodities producers to extract the most value from every ton of ore while keeping costs contained, coupled with the trend for improved environmental governance, mine & mill operators are looking to their data to show the way. Time Series AI can provide a path to achieve these goals at a fraction of the cost of new capital equipment or instrumentation.
Falkonry’s automate AI solution enables your existing team of metallurgists & maintenance engineers to discover, explain & predict behaviors using existing operational data, so that they can uncover high value use cases on their own.
Avoid lost production from asset downtime
Remotely monitor all the assets
Increase mineral recovery and concentration
Mills incur high cost in lost production due to preventive maintenance (PM) cycles.
Use equipment signals to understand current equipment condition, & schedule maintenance only as-needed.
Increase mill production uptime by reducing unnecessary maintenance periods & converting preventive to predictive maintenance.
Fluctuations in ore grade causes blockage in mill & results in work stoppage.
Discover patterns in operational data associated with material variations & provide alerts.
Early warning allows suspect material to be tracked, grinding speed to be adjusted & downtime avoided.
Concentration & recovery targets are missed as operators react to changes in incoming ore composition.
Analyze data from composition assay to classify ore into groups. Correlate these groups to best operating conditions.
Proactively set process parameters to match incoming ore, increasing time that circuit operates on target.
Falkonry was able to recognize patterns that indicated low grade ore & helped mine operators to realize upto $900K of annual cost saving for 1 facility
General Manager of Sierra Gorda Project, Sumitomo Corporation
