Projects

Innovative information and communication technologies are key drivers in the development of today's production environments: At the communication level, they enable ever faster wireless data connectio

This project aims to develop the next generation of the digital twin, which is self-learning and proactive. This means firstly, it learns from existing, real data to run like processes. Secondly, it c

„Fühler im Netz 2.0“ baut auf den Ergebnissen des Projektes „Fühler im Netz“ (FiN) (Projektzeitraum 2014 bis 2017) auf und legt den Fokus darauf, die Möglichkeiten zur Anlagen- und Netzzustandsübe

The objective of EVAREST is the development and utilization of data products as economic goods in the ecosystem of food production based on an open, technical data platform, which is designed beyond c

The main goal of DAYSTREAM project is the development of data-driven applications for early recognition, real-time tracking and optimal prediction of mobility events that are safety- and process criti

The aim of the project SePiA.Pro is to develop an open and standardised service platform for optimization of production chains across machinery producers. The optimization parameters are based on inte

Ziel des Forschungsprojektes SMARF ist die herstellerübergreifende Vernetzung von Maschinen im landwirtschaftlichen Pflanzenbau mithilfe einer Service-Plattform. Auf Basis der über Unternehmens- und H

PROTEUS mission is to investigate and develop ready-to-use scalable online machine learning algorithms and real-time interactive visual analytics to deal with extremely large data sets and data stream