Food Tech Industry in the Internet of Things

Transcription

1 Food Tech Industry in the Internet of Things Markus Eisenhauer Fraunhofer FIT 29. October 2014 Food Tech Fair 2014, AU Herning Herning, DK Fraunhofer-Institut für Angewandte Informationstechnik FIT

2 Outline Fraunhofer IoT & Industry The ebbits project Two Domains Manufacturing Food Traceablity Dr. Markus Eisenhauer

3 Fraunhofer-Gesellschaft Fraunhofer is the largest organization for applied research in Europe More than 80 research institutions, including 61 Fraunhofer institutes More than 19,000 employees, the majority educated in the natural sciences or engineering An annual research volume of 1,8 billion euros, of which 1.4 billion Euros is generated through contract research. 2/3 of this research revenue derives from contracts with industry and from publicly financed research projects. 1/3 is contributed by the German federal government and the Länder governments in the form of institutional financing. Dr. Markus Eisenhauer

4 Fraunhofer worldwide Gothenburg San José East Lansing Plymouth Boston Cambridg Newark e Maryland Brussel s Paris Porto Bolzano Gra z Wrocław Vienna Budapest Thessaloniki Cairo Dubai Beijing Seoul Tokyo Bangalore Selangor Singapore Jakarta Santiago de Chile Sydney Subsidiary Representative Office Center Senior Advisor Project Center / Strategic Cooperation Dr. Markus Eisenhauer

5 The Fraunhofer-Gesellschaft in Germany Itzehoe Lübeck Rostock Bremerhaven Hamburg Oldenburg Bremen 60 Institutes more than 18,000 employees Hannover Berlin Potsdam Teltow Braunschweig Magdeburg Cottbus Oberhausen Paderborn Halle Dortmund Schkopau Leipzig Duisburg Kassel Schmallenberg Dresden St. Augustin Erfurt Jena Aachen Freiberg Euskirchen Gießen Chemnitz Wachtberg Ilmenau Darmstadt Würzburg Bayreuth Erlangen Bronnbach St. Ingbert Kaiserslautern Fürth Nürnberg Saarbrücken Karlsruhe Pfinztal Ettlingen Stuttgart Straubing Freising Freiburg Augsburg Garching München Oberpfaffenhofen Kandern Prien Efringen- Holzkirchen Kirchen Dr. Markus Eisenhauer

6 Fraunhofer Institute for Applied Information Technology Dr. Markus Eisenhauer

7 Fraunhofer Institute FIT Applied Information Technology User-Centered Information and Communication Systems Goal: Optimizing usability and usefulness of IT in the Interplay with organizational work practice, structures, and processes. Research departments: Kooperationssystems and Augmented Reality Life Science Informatics Risk Management and Decisionssupport User-Centered Computing Innovative work forms for the entrepreneurial change More Informations for Health Analysis, Minimizing and Management of risks User-Centered IoT and CPS 7 Dr. Markus Eisenhauer

8 Internet of Things in Industry Vision Dr. Markus Eisenhauer

9 48 months /9 partners/12,0 MEuro budget, 1091 pms. CNET/IN-JET TNM/CNET SAP/CNET/COMAU/TNM

10 facilitate interoperability of enterprise systems integrate physical devices, identification, subsystems and components into ERP systems in the entire lifecycle Achieve system interoperability across locations and supply chains network your products in order to support value-added solutions provide authentication and traceability services

11 Energy Efficiency in Manufacturing?

12 Energy Efficiency in Manufacturing?

13 Manufacturing environment

14 The Agricultural use case Work in the field Producing feed Animal breeding fattening Traceability from Farm to Fork Slaughtering Retail Distribution

15 Motivation Scan the meat before you buy and see where it comes from, when it was slaughtered, and whether it really is organic.

16 The Traceability Chain

17 awareness and opportunities

18 Product life cycle management Enabling technologies to support data collection in product life cycle management Adding things as native objects EPC Global, QR codes,... Cloud-based data streams. Add people as human data providers Digital pen technology

19 The Traceability Chain Data is gathered from all stakeholders

20 At the farm

21 Data from the farm enviroment Production form (Organic) Race / Genetics Date of birth Feed Medical treatment

22 The Traceability Chain

23 At the slaughterhouse

24 Data from the slaughterhouse Date of slaughter Meat quality parameters Colour Fat content Muscle volume Bulk meat barcode ID

25 The Traceability Chain

26 Distribution

27 Data from distribution RFID based identification Time and position Temperature in bulk beef

28 The Traceability Chain

29 Consumer feedback

30 Bulk meat is cut into steaks - Parent child relations are created Parent child relation

31 Data in the consumer enviroment Aggregation of information from the traceability chain Cutting information Best before date Data available by app

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33 Thank you for attention! Contact: Markus Eisenhauer

34 Current and possible data sources Local farm management systems Equipment sensors or logs Internal Danish Crown SAP System Friland slaughter information Danish Crown distribution Dist. companies Parent / child rel. via sec. processors

35 How it all fits together: Food traceability use case Product Service Orchestrator (Digi)Bul k Beef Thing Mgr Thing Mgr Entity Mgr Service MatchMaking Ontology EPA DigiCow Farm management system Farm Sensor DigiCow Transport Simulation Time/Distance DigiCow Slaughter Quality Method Time stamp Weight Bulk Beef Bulk Beef Transport RFID with sensor Retail Bulk Beef Bulk Beef Bulk Beef Transport Consumer Fridge Processor App People Mgr (Digi)Beef Beef Beef Beef Physical World, RFID, Device virtualisation Consumer App Recall App

36 User-centered Ubiquitous Computing Projects Energy Efficiency and Smart Environments: Adapt4EE - Enterprise Data modelling to manage enterprise environment ME3Gas Middleware for Energy Efficient Embedded Services and Smart Gas Meters SEAM4US - Sustainable Energy management for Underground Stations SEEMPubS - Smart Energy Efficient Middleware for Public Spaces GreenCom - Energy Efficient and Interoperable Smart Energy Systems for Local Communities ALMANAC - Reliable Smart Secure Internet of Things for Smart Cities DIMMER District Information Modeling and Management for Energy Reduction Internet of Things ebbits - Enabling Business-based Internet of Things and Services BEMO-COFRA - Brazil-Europe - MOnitoring and COntrol FRAmework HYDRA - Middleware for networked embedded systems IMPRESS Intelligent System Development Platform for Intelligent and Sustainable Society Emergency Response BRIDGE - Bridging Ressources and Agencies in Large-Scale Emergency Management HCI and multimodal assistance AILB III Aachen internet learning system for vocational qualification of deafs Gateway - Barrier-free online-portal for vocational information for hear- and seeing-impaired people MICA - Multimodal assistance for warehouse workers Dr. Markus Eisenhauer

37 User Centred Ubiquitous Computing Current Projects Internet of Things ebbits - Enabling Business-based Internet of Things and Services BEMO-COFRA - Brazil-Europe - MOnitoring and COntrol FRAmework E3 Production Fraunhofer Lead Project ALMANAC - Reliable Smart Secure Internet of Things for Smart Cities HYDRA / LinkSmart - Middleware for networked embedded systems Dr. Markus Eisenhauer

38 User Centred Ubiquitous Computing Current Projects Energy Efficiency and Smart Environments: Adapt4EE - Enterprise Data modelling to manage enterprise environment SEAM4US - Sustainable Energy management for Underground Stations SEEMPubS - Smart Energy Efficient Middleware for Public Spaces DIMMER - District Information Modeling and Management for Energy Reduction IMPReSS Intelligent System Development Platform for Intelligent and Sustainable Society GreenCom - Energy Efficient and Interoperable Smart Energy Systems for Local Communities Dr. Markus Eisenhauer

39 User Centred Ubiquitous Computing Current Projects Emergency Response, HCI and multimodal assistance BRIDGE - Bridging Ressources and Agencies in Large-Scale Emergency Management Aachen internet learning and information systems with special adaptation for hearing impaired adolescents and students MICA Multimodal assistance for picking tasks in warehouses Dr. Markus Eisenhauer