When it comes to transporting raw materials, bulk materials handling systems are the lifeline of the entire process. High availability and minimised downtimes are essential. At SOLIDS 2024 in Dortmund, the Schmersal Group and its system partner SHG – Conveyor Control GmbH will demonstrate for the first time, how the efficiency of conveyor systems can be maximised with the help of predictive analytics and predictive maintenance. SHG’s new ‘Rip Prevent+’ belt monitoring system analyses conveyor belt data using an AI-based computational model.
In the event of a rip event or anomaly, the Rip Prevent+ system generates an output signal based on conveyor-specific thresholds that the customer can implement in their PLC to automatically stop the conveyor before the critical rip event occurs. The computational model calculates the data 50 times per second and is able to send a signal to the PLC in less than a second to minimise any resulting longitudinal slot.
In addition to longitudinal crack detection and prevention, the Rip Prevent+ system offers other functions to increase conveyor system availability or to provide the user with relevant process information. These include:
– Motor monitoring
– Electrical network analysis
– Energy efficiency analysis
– Mass flow calculation
SHG – Conveyor Control GmbH is constantly expanding the functions to provide the user with a conveyor monitoring system that makes unplanned downtime almost a thing of the past.
The SHG Rip Prevent+ system can be used in mining and industrial applications to detect anomalies and cracks in all conveyor belts, including specialised belts such as corrugated sidewall belts. The Rip Prevent+ system helps customers minimise the damage caused by longitudinal rips. By stopping the conveyor when a longitudinal rip is detected, the system limits the damage associated with these events and can save customers significant costs associated with downtime, belt replacement, conveyor repair and maintenance.
18–19 MARCH 2026
MESSE DORTMUND
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