Due to decreasing ore contents and deeper mines, continuous belt conveyors are becoming more and more important. Even in global supply chains of raw materials, storage locations with belt conveyors and conveying equipment have a great influence on the efficiency of the entire transport process.
To date, however, only a fraction of the operating data is used for optimization. ABB has therefore worked with experienced operators to develop a specific KPI system that identifies optimization potential. This system is provided as a customized toolbox based on the ABB Ability™ framework with data collection, pre-processing, calculation engine and dashboards.
The KPIs are determined with the help of KI methods such as machine and deep learning algorithms to allow new services such as:
- Performance analysis such as OEE, energy and load performance
- Energy efficiency analysis
- Automated alarm and event analysis including prediction of critical asset conditions
- Lifetime Estimation and Predictive Maintenance