Cognitive Production Systems (Area 4.2) and Cognitive Products (Area 4.1) represent the application-driven integration areas of Pro2Future that are responsible for the consolidation of research results from the Areas 1, 2 and 3 and hence for the transfer of integrated solutions to the industry. Area 4.2 is dealing with both continuous production processes (Linz) and batch production (Graz). It is planned to develop demonstrators at both locations.



Cognitive continuos production…

Our current research activities in the field of continuos production focuses on strategies for self-optimizing polymer processing machinery. Novel capabilities, like prediction modeling and quality forecast, will be developed. In order to predict the future response of a polymer extrusion and compounding machinery both, non-linear model predictive control technology as well as smart data predictive control technology will be used. With the help of the available data, control algorithms that utilize an explicit process model to predict the future response of a polymer processing machinery will be established. Mentioning just one advantage here, the time necessary for product changes will be shortened – hence yielding higher production efficiency.

… and cognitive batch production!

Batch production is more and more characterized by a high variety of products and implementations. The philosophy of Area 4.2 is to implement the most promising results of the basic areas into defined applications. The core partners of 4.2 are both interested to change their products (test beds, E-vehicles etc.) according to the idea of cognitive skills and to apply data science to their specific production and service portfolio.

Pro²Future’s approach for cognitive batch production aims at “Adaptive Smart Production”. This means that Pro2Future creates a set of “cognitive modules” that enables production systems to be intelligent and self-adjustable, e.g. via new fixture systems that reconfigure themselves according to the requirements of altering products. Challenges are unique worker2machine interfaces and collaborative robots which will become standard in automation.

Industrial Partners

Academic Partners