Internet of Things (IoT)

Transcription

1 Smart Industry, the Dutch version of the 4 th Industrial Revolution Prof Dr Ir Egbert-Jan Sol TNO Industry - [email protected] Director Smart Industry Program Office, A initiative by FME, Min EZ, Chamber of Commerce, ICT-Nederland & TNO Internet of Things (IoT) Intel Edison (50$,2014) 500Mhz, 1GB, 32bit USB, WiFi 11an, Bt 20 Dig I/O, 6 Ana Input 13mW, 20mW (Bt), 35 mw Wifi Intel Curie (2015) Rasberry Zero ($5) Arduino (110 Euro kit+book) 1Gbps ARM11 512MB Rasberry Zero ($5) A micro-sd card A mini-hdmi Micro-USB 65mm x 30mm Image a internet connected (wifi) flexible electronics computer on a sticker for 10 Euro and another 10 euro for a ana/digi/physic sensors Image a factory floor with each equipment and all humans interconnect continuously with each other, the internet, and all parts on the shop floor 1

2 Smarties Smart Business = Smart Health + Smart Mobility + + Smart Services Smart Industry Majority of business needs physical goods produced by our manufactory industry Physical goods require a design, production and delivery Smart Industry = Innovation Industry Economy 4.0 IoT/Big Data/Cyber Security/Cloud/Blockchain The changing face of industry and society 2

3 Network Centric Production: information as main source for value creation 3

4 Content 1. Introduction Smart Industry 2. Smart Industry Fieldlabs 3. Factories 4 Europe 4. Conclusion 4

5 Line of Action 1: start now! CAPITALISING ON EXISTING KNOWLEDGE 1. The Netherlands Smart Industry land. Informing a wide target group, including the business community, about Smart Industry developments, aimed at insight and support. 2. Entrepreneurs get to work. Entrepreneurs get to work more quickly with new business propositions, supported with information, coaching and advice aimed at cooperation and knowledge valorisation. Smart Industry & T Nieuwsbrief (via website), Twitter, LinkedIn (smartindustry) MKB scans and regional sessions Events (4 feb national event, Apeldoorn, ESEF 18 maart, Utrecht, HM2016 april) juni Amsterdam, Industrial Technologies conference (EU) with fieldlab visits Ambassador (commercial partners, factories demonstrating their implementations) 10+ Fieldlab (regio s, branches, TNO/NLR/DLO/uni s, HBO) Skills & Social innovation (ROC/MBO/HBO life-long learning) 5

6 Line of Action 2: establish Field Labs ACCELERATING IN FIELD LABS 3. Sample Field Labs at the start. The aim is to have 10 Field Labs ready to go as soon as possible. Business plans must be detailed, consortia built up and financing arranged. 4. Second instalment Field Labs. There is a need for additional Field Labs. These Field Labs will be made ready for operation in Monitoring and knowledge exchange. Investments will be made in getting to know Field Labs and spreading knowledge to education and the broad business community. Line of Action 3a: Knowledge STRENGTHENING THE FOUNDATION: KNOWLEDGE 6. Strengthening R&D incentive in Field Labs. One component of the Field Labs is investing in research themes that are directly linked to the Field Labs. This takes place via the leading sectors, among others. 7. Smart Industry research agenda. For the somewhat more distant future, a long-term research agenda will be set up with the top sectors in cooperation with universities, TO2, STW and NOW, among others. 6

7 Smart Industry as one of the NWA routes Line of Action 3b: Skills STRENGTHENING THE FOUNDATION: SKILLS 8. Human capital development within companies. Together with companies and employees, actions will be performed in the area of employee pools and task rotation. Courses will also be offered to promote sustainable employability. 9. Regional approach in connecting the business community with schools. To coordinate the needs of companies and the offer from schools, Smart Industry research groups will be set up and modular educational blocks will be offered. 10.Learning without interruption. The relevant educational programmes from primary education to scientific education and dual education will be adapted to the needs of Smart Industry in future. 11.Social innovation. There will be a social innovation action programme aimed at Smart Industry to equip the organisation as well as the employee of the future for Smart Industry in future. 7

8 Smart Industry: Social Innovation Fieldlab Human-factors engineering Human resources Man - robot & ICT collaboration Skills; life long learning; connection to the labour market, able to deal with ever changing technologies; learn to anticipate and to adapt, yourself in control Human organisations Flexibility in staffing and competences & entrepreneurship in the chain Line of Action 3c: ICT foundation STRENGTHENING THE FOUNDATION: PARAMETERS (ICT) 12. Big data, big trust. The development of technical solutions, business models and forms of cooperation that simplify the exchange and use of data. 13. Software action plan. Carrying out a research programme aimed at the development of software tools, with a view to chain cooperation, standardisation and interoperability. 14. Cyber security. Building on a robust and secure ICT infrastructure for Smart Industry. 8

9 Content 1. Introduction Smart Industry 2. Smart Industry Fieldlabs 3. Factories 4 Europe 4. Conclusion Fieldlab as high TRL innovation area Basic Technology Experimental Technology Tech valid. Demonstration Demonstration System Successful Principles Concept Proof of Validation In relevant In relevant In operational complete and mission Observed Formulated Concept In lab environment environment environment qualified operations Fundamental research Pillar 1: Technological research Pillar 2: Product demonstration Pillar 3: Competitive manufacturing 9

10 Key Enabling Technology of the EU commission Fieldlab example Holst Centre/Solliance jointly run by TNO, imec, (ECN, FZ Jülich, +) 10

11 Innovation Models Shared Research Innovation Networks Or Ecosystems Open Innovation Was closed/corporates Today it goes too fast, is too expensive to do it alone Closed Open systems - Shared Research and - Networked Innovation ecosystems Idea/Unmeet market need Open Campus Classical Corporate Research 1.. TRL (Technology Readiness Level) 9 Users/Customers Smart Industry/Fieldlab definition Smart Industry: Smart Industry omvat de versnelling van de digitalisering van de industrie. Fieldlab: Een Fieldlab is een praktijkomgeving waar Smart Industry oplossingen worden uitontwikkeld, getest en geïmplementeerd, alsmede een omgeving waar mensen deze oplossingen leren toe te passen. Verschillende functies: -Radicale, doorbraak innovaties realiseren -Aanjager van een innovatie eco-system -Lage drempel voor nieuwe technologie -Regionale focus -Verbindt HBO/MBO aan Smart Industry onderwerpen -Identificatie van Human Capital aspecten -Identificatie van obstakels in regelgeving/ toepassing van nieuwe standaarden 11

12 Toevoegingen Smart Industry: de volle breedte van de industrie, van ontwerp en productie tot verkoop/gebruik/recycling van producten en van agro/food, chemie tot high-tech maak industrie. Fieldlab: locatie + programma programma heeft een doel, een bijbehorend plan voor minimaal drie jaar en zal bestaan uit een consortium van partners met een coördinatiefunctie en verschillende projecten met hun eigen projectdoelen, begin/eindtijd, financiering en passend in het fieldlab programma. Het fieldlab zal vaak beschikken over een infrastructuur waar deze projecten gebruik van maken. In een aantal gevallen zal een fieldlab als aanjager van een regionaal ecosysteem van bedrijven in een waarde keten functioneren. SMART INDUSTRY FIELDLABS STATUS Dmultimaterial (3D printing) Digital Factory Flex Manufac. (robotics) RoS Factories Zero defects Smart Food Ultra Personalized Design (creative) Secure Connected System Garden Smart Bending Factory CAMPione Zero surprises Smart Dairy Farming 12

13 FIELD LABS Smart DairyFarming2.0 Increasing the sustainability of dairy farming through real-time monitoring of dairy cows and data sharing in the chain LELY INDUSTRIES 13

14 Fieldlab SMART DAIRY FARMING Increasing the sustainability of dairy farming by real-time monitoring of dairy cows and sharing data in the chain. aantall en NL noeme n FIELD LABS REGION OF SMART FACTORIES Radicaal doel: Foutloze productie en First Time Right product- en procesontwikkeling leiden tot een succesvolle vraaggestuurde maakindustrie. Cluster of 9 projects in Friesland, Groningen en Drente, regionaal gefinancierd per 1 jan

15 PHILIPS DRACHTEN Samenstelling RoSF consortium A combination of Education, MKB, OEM, Science and Governmental support An example of demand driven Innovation: Pre commercial Procurement 15

16 RoSF in short 32 partners Begroting 23 mio regionale funding Noord-Nederland Focus op Smart Factories Zero Defect manufacturing First Time Right product & process development Flexible Manufacturing / robotics (Mass) customisation 3 pilotprojecten 9 use cases industie Initieel: 1000 extra arbeidsplaatsen op alle opleidingsniveaus ROSF <> ICD Big data & Hardware/software Advanced Materials Sensortechnology Flexible robotics Zero defects Knowledge based Data mining Controll Doelstelling: ontwikkelen van foutloze productie/assemblage-processen (met hoge moeilijkheidsgraad) Hoe? Processen zelflerend maken (inrichten obv. Smart Cycle ) Flexibile automatisering Wie corrigeert? Pilot 1: Self learning Production Lines Systeem zelf Extern achteraf tijdens Hoe corrigeren? Impact Reuzesprong in efficiency (>30%) Offensieve organisaties mogelijk maken Reshoring (terughalen werkgelegenheid) MKB-cluster gespecialiseerd in next generation productieprocessen Kennis opbouwen + CV ontwikkelen in 3 fieldlabs: Scheerapparaten Philips (Drachten) E-Lighter Fokker (Hoogeveen) Headsets Plantronics(Emmen) 16

17 Pilot 2: Design for Smart Factories Kader: Van empirisch naar modelbased Voorwaarden: Van kennis naar modellen Modellen integreren Doelstelling: Ontwikkelenvan methodenom modellen te integreren(over domeinen en lifecycle) zodat op hoog integtratieniveau juiste keuzes worden gemaakt Impact 100% efficiency-slag ontwerptraject Weg open naar maatwerkproductie......en dus interessantere verdienmodellen Methodenontwikkeling+ ervaring opdoen in 3 fieldlabs Scheerkoppen Philips (Drachten) Toelevering scheepsbouw bij CIG (Groningen) Engineering schepen bij NCG (Groningen) Pilot 3: (Mass) Customiztion Kader: Van massa naar maatwerk, zonder efficiency-verlies Voorwaarden: Zero defect manufacturing Flexibile automatisering Doelstelling: Ontwikkelen van methoden/technieken voor costomization (greenfield & turn around). Met speciale aandacht voor: inline meettechnologie koppeling van informatiestromen Impact Voorwaarde voor maakindustrie Andere verdienmodellen Reshoring, etc. Methodenontwikkeling+ ervaring opdoen in 4 fieldlabs Mass customization: Maatwerk lenzen bij Opthec(Groningen) en NKL (Emmen) Slimme pillenmachine bij Ziuz (Gorredijk) Productie van zeilen jachtbouw bij Molenaar (Grou) Intellegentieconsumenten producten bij Philips (Drachten) 17

18 FIELD LABS Designing Ultra Personalised Products and Services: UPPS Developing radical new product propositions for the manufacturing industry through innovative use of data and by making products fully customised Clusters of small designers Funding through MIT regeling (small 50k type of projects) End 2015 still in discussion with partners Fieldlab Campione: Zero surprises maintenance 18

19 FIELD LABS The digital factory: Smart networked high-tech supply chain Becoming the world s best networked digital factory, where companies collaborate on the development and manufacture of complex high-tech machines Initial funding for research with manufacturing group is running with vendors is starting EFRO feb 2016 Goals Fieldlab Digital Factory Objective: Best and seamless networked supply and knowledge chain for High Tech Equipment development and manufacturing. Low hanging Fruit: Cost reduction through chain automation In and outbound ordering Version and change management Technical product data and specifications. Quality management system Standardisation of interfaces over multiple software platforms for data exchange. Ambition: A worldclass competitive chain attractive development and supply chain to foreign OEM s. 20% reduction in costs because of improved data management and exchange. 19

20 scope Physical manipulation Cognition FieldLab Flexible Manufacturing Radical ambition: flexibleandfullyautomizedproductionof small series byrobots and based on zero-programming Perception augmented reality sensoring human-robot collaboration robotics smart vision CAD-CAM embedded intelligence Manual Collaborative Automated Zero Programming FIELD LABS Flexible Manufacturing Zero Programming In small series, flexible and fully automated production by robots without programming time Initial funding for research in Delft & Eindhoven Private funding Airborne/Siemens Ypenburg EFRO funding NLR/Fokker Marknesse Smart Welding Factory Enschede (with NIL) EU-H2020 Horse project is funded EFRO aanvraag feb 2016 RoboNed-niew coordinate 20

21 SMART INDUSTRY FIELDLABS STATUS Dmultimaterial (3D printing) Digital Factory Flex Manufac. (robotics) RoS Factories Zero defects Smart Food Ultra Personalized Design (creative) Secure Connected System Garden Smart Bending Factory CAMPione Zero surprises Smart Dairy Farming Content 1. Introduction Smart Industry 2. Smart Industry Fieldlabs 3. Factories 4 Europe 4. Conclusion 21

22 The 4th Industrial Revolution e.g. to realize an ambition as lot sizes of N=1 for the price of mass produced goods Zero programming of robots (download CAD file and configure robot) Additive Manufacturing (3D printing with multimaterials at high speed) Zero Defect (each production step 100% control on quality (in cycle time vision inspection) Information as value driver leads to new business models in (traditional) industry Competition driven by Cost Competition driven byuseof Information Box s Selling Total costof ownership Customization Solution selling The Lease Car of the Year 0% Bijtelling Eat or to be eaten: shaking up eco-systems as suppliers become manufacturers and OEM (old manufacturers) become solution (service) providers 22

23 1 - Evolution of Additive Technologies Generation 1: 10-2 years ago rapid prototype becomes additive manufacturing Powder Bed Fusion, Selective Laser Sentering, Stereo Lithography, Jetting Mono materials Metals Polymers Ceramics dental, high-tech Food chocolate, cookies (sugar), spaghetti, etc. additive, but slow manufacturing as well as low-cost personal 3D printing Air Flow housing Metal(Powder bed) Car parts (polymer) Food (chocolate) printing 2 - Evolution of Additive Technologies Generation 2: additive manufacturing become standard technology Multi-material printing Multiple printing head for plastics & metal tracks printing for free form embedded electronics in smart devices (IoT) without a rigid PC Carousel printing for high speed, series-of-1, 6 in instead of 6 hour jobs Personalized food printing exact dosing for e.g. baby & elderly diets PrintValley machine Multi Material (3 polymers in 3D INNOVATION LANDSCAPE 23

24 3 - Evolution of Additive Technologies Generation 3: by 2020 MAMA - Metropolitan Additive Manufacturing architecture Modular flexible factories (with AM) which manufacture single (web) ordered products for multiple vendors and deliver it at your doorstep in 2 hours Research - From multi-material to graded and sensing/actuation materials Use case: Upon a customer order, download the file to the location closest to the customer, manufacturing with AM, robotic assembly etc the product and deliver it 2 hours latter. Today s manufacturing with economy of scale (yesterday in Europe, today in China) Customer design production delivery design production delivery design production delivery 24

25 What changes with metropolitan manufacturing (smaller factory, close to the customer, in town/region) Customers at location A design production delivery design production delivery Customers at location B design production delivery Customers at location C Economy 4.0 Economy Trading/exchange of goods Economy Trading cash Econony 3.0 E-commerce/digital communication A???? C?? B Economy 4.0 Blockchain, the newest buzzword Since 3.0 each company has its own database (SQL, MRP, orders, etc.) and Internet communication is standardized (IP protocol, web HTTP), but on content and meaning?? Your Db is your truth, but for some one else it is? How to interact databases automatically over company borders Blockchain is a public ledger, encrypted, with traceable transactions in the blockchain and it is not centralized as a web portal (Uber/Airbnb/iTunes/Google), but distributed as in bittorrents over many, many computers as with bitcoins. your apps/agents communicates with others and your transactions e.g. contracts are stored encrypted within the chain in blocks with other transactions Blockchain is of 2008, really known since 2014, for Smart Industry use it is now Research 25

26 Economy 4.0: Architecture Digital Marketplace customer customer goods designer D Designer E purchaser X miner K miner L purchaser Z miner M assembler A Control flow for blockchain supplier S Purchaser V supplier T sub-supplier U Digital Market Place for manufactured goods - Legal Framework/ Standards to be used Content 1. Introduction Smart Industry 2. Smart Industry Fieldlabs 3. Factories 4 Europe 4. Conclusion 26

27 Smarties Smart Business = Smart Health + Smart Mobility + + Smart Services Smart Industry Majority of business needs physical goods produced by our manufactory industry Physical goods require a design, production and delivery Smart Industry = Innovation Industry Economy 4.0 IoT/Big Data/Cyber Security/Cloud/Blockchain Strategy for Smart Industry (line 1-7/14) 27

28 Strategy for Smart Industry (line 8-14) Smart Industry & T Nieuwsbrief (via website), Twitter, LinkedIn (smartindustry) MKB scans and regional sessions Events Ambassador (apply via [email protected]) (commercial partners, factories demonstrating their implementations) 10+ Fieldlab (regio s, branches, TNO/NLR/DLO/uni s, HBO) Skills & Social innovation (ROC/MBO/HBO life-long learning) 28