DaPro - Data driven Process optimization using machine learning in the beverage industry
The goal of the DaPro research project is to develop a modular reference architecture for collaborative data usage in the beverage industry to enable data-driven process optimization. The close cooperation between users, machine and plant manufacturers enables the development of innovative, data-driven process optimizations and promotes the digitization efforts of the process industry. The focus is on the development of a toolbox of data mining modules and an IoT reference architecture for the beverage industry. In parallel, exemplary use cases will be defined and implemented at the application partners. These practical examples enable the construction of specific analysis modules and the validation of solution patterns.
Live Expo Room
During the conference you can access the expo room and meet project members for discussions, Q&A and more.
January 1st, 2019 - December 31, 2021
Funding Grant Number
The project is funded by the German Federal Ministry of Economics and Technology (BMWi) and managed by the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V.; DLR)