Ore Size & Volume
Crusher performance is key to a healthy mineral extraction process and can be hampered by improper gap settings, suboptimal feed size and unpredictable liner wear. The Stone Three Crusher Diagnostics and Analytics solution is a machine vision-based system that continuously monitors the feed and product size distribution as well as other key parameters and enables improvement of crusher performance. This is achieved by
(1) improved maintenance planning through real-time measurement of crusher liner wear,
(2) optimising crusher control by real-time measurement of crusher gap and reduction ratio, and
(3) increasing crusher uptime by detecting oversized material.
Performance management of key assets, such as conveyor belts, are critical to any site. Belt failures are dangerous, disruptive, extremely costly and can be prevented. The Stone Three Belt Condition Monitoring solution is a machine vision-based system that identifies conveyer belt surface features such as splices, tears and edge deformations whilst also detecting belt drift. It simplifies the belt inspection process and therefore enhances early detection of belt surface anomalies, which can be monitored and compared over time resulting in improved maintenance scheduling