ABB has launched a new condition monitoring digital service to aid in the predictive maintenance of conveyor belts.
Falling under ABB’s industry-leading ‘Ability’ platform, the new technology is based on sensors installed in strategic points of the conveyor belt equipment.
One of the many areas where this advanced digital service could really shine is Mining. It is specifically designed to withstand harsh environments while monitoring asset health and condition.
The new solution could enable mine operators to track speed, misalignment, damage, thickness and wear, slippage and temperature of conveyor belts in real time.
It could enable them to anticipate maintenance, avoid unplanned downtime and improve belt reliability and lifetime.
According to ABB, belt damage can cause significant production time loss in mines and processing plants with in-person inspections typically carried out to determine the condition of conveyor belts.
The ABB Ability solution overcomes this by offering a complete overview of the assets’ condition through continuous monitoring of belt health, generating alarms and warnings in the event of deterioration.
Moreover, by moving from preventative to predictive maintenance, it ensures that no personnel are found working in dangerous areas and enables operators to avoid the costly failures that can occur between physical inspections.
The new system also provides easy access to informative dashboards.
For instance, fault trend analysis, event alarms, data logs and reports can be monitored for single or multiple conveyors and by remote connection, SMS text message and email.
The solution could either work as a stand-alone option or be integrated into any control system, making it interoperable with existing maintenance tools and infrastructure.
“Real time monitoring of the actual belt performance prompts the necessary corrective actions ahead of failure or further and more costly damage,” says Eduardo Botelho, ABB’s Global Material Handling Service Product Manager.
“With equipment condition continuously assessed, operators can plan necessary maintenance only when certain indicators give the signal that the equipment is deteriorating, and the probability of failure is increasing.”
“It will consistently catch misalignment or speed issues online, long before failure, and pre-empt issues such as falling material, energy waste, excessive belt wear, rupture or fire.”
Image and content: ABB