Tru-Trac Rollers unveiled a new belt scale system at bauma 2025, which provides insights into long-term data for operators.
Tru-Trac Rollers showcased its intelligent belt scale system which features an intergrated AI-driven continuous calibration checking and real-time load cell monitoring with traditional belt scales, this next-generation solution goes beyond measuring tonnes per hour (tph) to deliver advanced conveyor belt monitoring.
Integrating seamlessly with the award-winning Rip Prevent+ system, which Tru-Trac debuted to its African customers at Electra Mining Africa 2024, this innovation leverages artificial intelligence (AI) to detect anomalies or rip events on all conveyor belt types including steel cord, pipe, and fabric belts.
“This intelligent belt scale sets a new standard. It is not just technologically advanced but also user-friendly, providing unprecedented data that conventional belt scales simply don’t offer,” Tru-Trac bulk materials handling division sales manager Tinus Ludik said.
A key feature is the real-time load cell monitoring ensuring millivolt (mV) signals remain within optimal range. Any deviations trigger proactive warnings, allowing for timely intervention and reducing the risk associated with inaccurate or inconsistent readings. By continuously assessing load cell health, the system enhances reliability, repeatability, and accuracy. Advanced AI algorithms analyse and cross check the belt scale readings against mass flow measurements, identifying deviations and self-adjusting to maintain precise measurements. This eliminates the need for manual intervention, improves reliability and reduces maintenance.
the system also monitors conveyor health, ensuring consistent material flow. Continuous mV readings assess belt alignment, flagging potential misalignment caused by off-centre loading. The system also monitors conveyor health, ensuring consistent material flow. Continuous mV readings assess belt alignment, flagging potential misalignment caused by off-centre loading.
Ludik said the new system can gain a deeper understanding of plant efficiency and productivity trends.
“The system’s anomaly detection continuously analyses operational parameters,” he said.
“If any irregularities arise they are flagged instantly, allowing for corrective action before small issues escalate. This real-time oversight fosters constant optimisation and operational excellence.”
