Data acquisition and model based process optimization

Dashboard view of in-situ process data from the cleaning line at Fraunhofer IST.
© Fraunhofer IST
Dashboard view of in-situ process data from the cleaning line at Fraunhofer IST.

Digitalization at Fraunhofer IST

At Fraunhofer IST numerous plants for coating and surface treatment are acquiring real time process data and store them in centralized databases. This also includes metadata. Based on this, various concepts for process data visualization and their model- or data driven evaluation are developed and implemented. This activity is an important building block in our strategy towards a systematic digitalization of all processes and process chains. 

Data driven product and process optimization 

Data driven models enable product and process optimization by various AI or model based approaches. Examples are deep learning based on neural networks, grey-box models or simplified physical models which are real-time capable. We would be glad to support you in your infrastructure implementation towards digitalization via data acquisition and development of tailored product and process models.