EVAREST

Smart services in food production through data products

EVAREST aims at the continuous collection, evaluation and provision of data via a global, decentralized IoT data market.

EVAREST aims at the continuous collection, evaluation and provision of data via a global, decentralized IoT data market.

In the BMWi-supported research project "EVAREST" the FIR at the RWTH Aachen together with project partners like the German Research Center for Artificial Intelligence and the chocolate manufacturer Lindt is investigating the chances of digitization in the food industry.

Up to now, the mass data generated in the food industry has only been used for production optimization; there is usually no cross-location or cross-manufacturer utilization of the data.

EVAREST intends to collect, evaluate and make available the data on a global, decentralized IoT data market. In addition, semi-automated, higher-value data products can be made tradable using AI services.

Branch

  • Vehicle, special Vehicle and Automotive
  • Machinery and Plant Engineering

Topic Area

  • Service Management

Research Focus

  • Service Excellence

FIR Navigator

  • Ecosystem Design
  • JRF Guiding Topic

    • Industry & Environment

    Projectinfos

    Duration
    01.01.201930.04.2022
    Funding no.
    100370337
    Project homepage
    evarest.de
    Funding information

    Funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK), Projektträger Deutsches Zentrum für Luft und Raumfahrt (DLR) Projektträger | Gesellschaft, Innovation, Technologie | Informationstechnologien/Elektromobilität.