Once machine and production data have been collected, a deeper analysis can be performed in order to improve overall equipment effectiveness (OEE). Machine data collected over the long term (big data) are analyzed in order to detect anomalies, for example.
By applying machine learning methods, processes can be continually optimized and machine and equipment failure can be predicted in advance (predictive maintenance). The methods developed from the big data analysis can then be applied directly in the production using real-time data to optimize production (edge analytics).
The toii® modules in use