With the Prediction Box from SICK, future data flows can be made visible today. Based on intelligent prediction models, this software solution creates maximum freedom of action so customers can optimize the availability and productivity of their plants and machines. To ensure high prediction quality, different prediction models with different prediction periods suitable for the specific data flow are trained and validated with the data recorded during condition monitoring.
This makes it possible to predict known events with high probability and accuracy. This not only increases your plant availability, but sustainably improves the quality of products and processes.
At a glance
Notification of events that have not yet happened
Machine learning methods for trained and validated prediction models
Different prediction periods for the best view into the future
High prediction quality regarding the probability of occurrence of known events