Driving Force for. How cyber physical systems will change the way of future production

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Driving Force for How cyber physical systems will change the way of future production IMS Institute of Mechatronic Systems Applied Science in Mechatronics The first international event on Fourth Industrial Revolution Industry 4.0 Tehran 4 th /5 th August 2016 Iran International Exhibition Center Head of Institute of Mechatronic Systems IMS, ZHAW

Outline Future challenges The way ahead for next generation production Mechatronics: Enabler for flexible Automation Form device to Cyber Physical System The Mechatronics Part in Industry 4.0 How does Mechatronics influence the way ahead Some Examples Conclusion and Outlook 2

Future Challenges 09.06.2015 3

Future challenges for production industries Demographic development of world population 2011: 7 billon people 2024: 8 billon people 2045: 9 billon people Source: Our World in Data, www.ourworldindata.org Future challenges: Increase production by a factor of 10 Reduce energy and resource consumption by a factor of 10 Reduce pollution significantly 4

Future challenges: Are we able to Increase production by a factor of 10 Reduce energy and resource consumption by a factor of 10 Reduce pollution significantly Proactive use of resources Intelligent Production Protection of the environment 5

Future challenges require for new ways of thinking Today: Maximizing profit by minimal Investment In the future: Added value by a minimum of resource consumption Future Key Technologies in Production: Intelligent Mechatronic Systems, Cognitive Information Processing, Self-tuning, Self-configuration and Self-diagnostics, Networked Automation Systems 09.06.2015 Image source: KUKA Robotics, Germany 6

The way ahead for next generation production 7

Internet goes factory: Industry 4.0? Digitally connected manufacturing is often referred to as Industry 4.0 and most often simply described as Internet enabled factory. However Industry 4.0 encompasses a much wider variety of technologies, ranging from self-aware production systems to robotics, new materials, 3D printing 8

Still, most companies don't know The Internet of Things is about to come. But many companies still do not know what to do with it and how to be prepared. One of two decision makers in industry in Germany, Austria and Switzerland has not heard of the term Industry 4.0",... Around a quarter recognizes the concept, but does not know exactly what it is all about. And only a quarter knows Industry 4.0 and is aware of the future chances and challenges. Source: Frankfurter Allgemeine Zeitung, February 2016 9

Google Trends Result Google Trends for Industry 4.0 and Volkswagen Interest over time Industry 4.0 Industry 4.0 Volkswagen Volkswagen emissions scandal published by US authorities (Sept. 2015) 10

The importance of Industry 4.0 as a future paradigm in production seems to be generally underestimated or still not recognised At present we have a more local occurrence in Europe (Germany) and surprisingly in Japan However, Industry 4.0 (Smart Factory, ) will have a worldwide impact to all economies 11

Source: Phoenix Contact Mechatronics: Enabler for flexible Automation 09.06.2015 Fachtagung M-Industrie 4.0 12

Flexible automation, what is it all about? When speaking about flexible automation today, terms like the following ones are common: Internet of things Cyber Physical Systems (CPS) Information Cloud / Fog Manufacturing 2.0 Industry 4.0 Smart Factory Classification and delimitation is difficult. Is this just about new tags for known fields of action or is there really something new in it? 13

Mechatronics as building block to Industry 4.0 1969 1988 1999 2006 2008 2010 Mechatronics (Japan) Ubiquitous Computing (USA) Internet of Things (USA) Ambient Intelligence (EU) Cyber Physical Systems (USA) Factories of the Future (EU) Industry 4.0 (DE) Manufacturing 2.0 (EU) Mechatronics can be regarded as a requirement to Industry 4.0 09.06.2015 Fachtagung M-Industrie 4.0 14

4th Industrial (R)evolution 1st Industrial Revolution (End of 18th century) 2nd Industrial Revolution (Begin of 20th century) Mechanical production with water and steam power 3. Industrial Revolution (Begin of 70th) Electricity, assembly line and mass production 4. Industrial Revolution (Today) Integration of electronics and IT in the automation and production processes Cyberphysical Systems, smart systems, smart factory Mechatronics 15

Units per Type Mechatronics enables flexible automation Mass production 1950 Individual customization 2000 Mass customization 1980 Personalized Product 2020 Hard automation Use of Mechatronics & IT in production Time Flexible automation 16

From device to Cyber Physical System 09.06.2015 Fachtagung M-Industrie 4.0 17

its all about Mechatronics Yesterday Today Tomorrow Future Separated development cycles: mechanical engineering, electrical engineering, IT Integrated development cycles, communicating mechatronic systems Optimized mechatronic systems, energyefficient, resource-efficient Mechatronic components as cyber physical systems, selfoptimization 18

From embedded to Cyber-Physical System Cyber-Physical Systems (CPS) Smart Factory, Smart Grid, Smart Home, Smart Traffic Systems Networked embedded Systems Autonomous operation, Cloud Computing, Machine-to-Machine communication, sensor networks for real-time data capturing Embedded Systems Machine control, vehicle control systems, household appliances, safety systems, medical systems Broschuere_Sensorik_EE.pdf, Seiten 33-35 19

Elements of Industry4.0 Internet of things Internet of services and data + IP-ability Cyber-Physical Systems (CPS) + Internet Readiness + System to system com. (M2M) Wireless communication Semantic description Embedded Systems + Sensors, Actuators + Integration of high-performance micro-computer Physical objects, equipment,... Big Data Cloud Computing Smart Devices 1 user, many computers Data Warehouses Internet PC 1 user, 1 computer Mainframe system many users, 1 computer 09.06.2015 Fachtagung M-Industrie 4.0 Grafik in Anlehnung an Prof. Dr. Henning Kagermann, acatech - DEUTSCHE AKADEMIE DER TECHNIKWISSENSCHAFTEN 20

From factory to cyber-physical Production Cyber-Physical Systems Embedded systems (as part of machines, buildings, transport, roads, production facilities, medical processes, logistics, coordination and management processes) Internet enabled Indicators: Detecting physical data with sensors Using worldwide available data and services Analysing and storing data Using communication technologies (wireless / wired, local / global) Interacting with physical world via actuators Using multimodal human-machine interfaces (touch screen, voice control, gesture control,...) According to ACATECH 2012 21

The very heart of Industry 4.0 A converging development Mainframe The Services & Data World Data Warehouses, Internet, PC Industry 4.0 Big Data, Cloud Computing, Smart Devices Internet of services and data Cyber-Physical Systems (CPS) Internet of things Embedded Systems Physical objects, equipment, The Mechatronics World 22

How does Mechatronics influence the way ahead 09.06.2015 Fachtagung M-Industrie 4.0 23

Mechatronic System It all started by Mechatronics Information processing Communications system Low-level Control Communications system Power supply Actuator Subsystem Sensor Environment Information Matter Energy Mechanical system 24

Transformation into a Cyber-Physical System Each component is crosslinked with each other and has Internet access Power supply Networked System Communications system (Cloud / Fog) Other "smart" components allow Information for self-organization of production Matter (basic concept for product Energy individualization). Actuator Communications system Internet Information processing Cognitive Control Information processing Associative Control Low-level Control Subsystem Agent systems or similar technologies are responsible for dynamic task distribution. Mechanical system Adaptive control and learning at runtime ease system configuration. Human-Machine Interface Improved interaction scenarios by use of enhanced human-machine communication. Sensor Communications system Human Environment 25

From Production to intelligent Production Mechatronics Self-optimizing Production Systems Independent determination of quality and productivity goals of the individual process steps for a comprehensive optimization of the value chain Context-sensitive cognitive Production Systems Dynamic adaption of production parameters depending on internal and external influences Consideration of knowledge about products and systems to optimize production by objectives Adaptivity and Autonomy Independent configuration of the system at runtime Autonomous adjustment of machining processes according to objectives Communication and distributed functionality The factory as a network of mechatronic systems and people Breakup of the conventional communication hierarchy Horizontal and vertical integration Today's Reality 26

Industry 4.0 Communication and self-organization in Real-Time Cyber-physical systems (for example, machinery, equipment) have an identity communicate with each other and with the environment configure themselves (Plug and Produce) store information Source: According to Bauernhansl, IPA Stuttgart Distributed Self-organization In Real-time 28

Some Examples 29

Intelligent manufacturing system based on multi-agent control Plug and PRoduce Intelligent Multi Agent Environment Investigating new solutions for deployment of highly adaptive, (re)-configurable self-aware plug and produce assembly systems. FP7-2012-NMP-ICT-FoF www.prime-eu.com

PRIME Project partners Coordinator: 31

PRIME Concept Each component is a mechatronic system consisting of hardware, control, communication unit and software agent The agents take over the integration and control of all components. Agents communicate with each other, with the overall control and the product agent by PRIME Consortium 32

PRIME Concept by PRIME Consortium 33

PRIME and Industry 4.0 PRIME is the implementation based part of a possible Industry 4.0 concept on factory level PRIME is a network of cyber physical systems PRIME implements Communication and Self-organization of complex assembly systems in Real-Time 34

Smart Collaborative Robots Lead the Way in Mass Customization of Consumer Goods Autonomous operation Localisation and navigation in unstructured shop floor environments Robot / Robot cooperation Learning and decision making Reduced factory setup and commissioning times Perception of environment Sensor fusion (video, image, lidar, sound, haptic information) Safe human robot cooperation in shared workspaces Source: The National Institute of Standards and Technology (NIST) 35 Source: BMW Group, BMW Werk Spartanburg

Source: Kuka Source: Kawada Industries Source: Rethink Robotics Source: ABB Robotics Systems for industrial Application Baxter, Rethink Robotics YUMI, ABB Robotics Kuka LWR iiwa Kawada Industries "NextAge"

Flexible Airplane Assembly Use of expensive jigs is mandatory in current assembly process

Exoskeletons as flexible production system Haptic control Human-robot collaboration IWA D Advanced Manipulator Exoskeleton Safety & Productivity Direct physical interaction Human workload reduction Natural human-robot interface Human-Robot Co-working Industrial Manipulator Robot-Teaching 41

Project goals EU FP7 Project RoboMate Intelligent Exoskeleton for industrial Application The aim Development of a user-friendly, intelligent and cooperative light weight wearable human-robotic exoskeleton for manual handling work support. Application Manual production processes in industrial environments Consortium 12 partners form 7 countries Source: Robo-Mate Consortium www.robo-mate.eu Project Reference: EU FP7 60897 42

RoboMate System and Applications

RoboMate s digital factory integration RoboMate s digital twin is already part of the human and ergonomics simulation environment "JACK" from Siemens

RoboMate and Industry 4.0 RoboMate implements a highly flexible production system for Industry 4.0 applications RoboMate is fully integrated into the factory communication system RoboMate distributes adaptivity, autonomy and context sensitive cognitive controlled behaviour between human and machine 45

Chances and Challenges 46

Mechatronics Driver for Industry 4.0 Mechatronic systems drive future I 4.0 developments Mechatronics will increase flexibility and allow for the economic production of small lot sizes. Robots, smart machines, and smart products that communicate with one another will provide this flexibility. Manufacturing processes will be enhanced through learning and selfoptimizing by smart Mechatronic components that will add decision making on machine level. Cyber Physical Systems as future implementation of Mechatronic systems will enable fully integrated data and product flow within enterprises and will also drive horizontal integration between companies, suppliers and customers 47

Conclusion: Chances and Challenges Industry 4.0 Gains it strength by combining horizontal integration all over the value chain and vertical integration in interconnected production facilities Changes future work as human and objects will decide together Will be an enormous driver for competition and has huge economic potential Industry 4.0 is a concept, not something you can buy, so companies have to build up their technological base and implement their own specific business models International standards are missing at present University teaching on Industry 4.0 objectives has to be largely implemented with specific emphasis on cyber physical systems, ITrelated skills and managing innovative business models 48

Thank you very much!

Institute of Mechatronic Systems @ ZHAW ims Institute of Mechatronic Systems We Apply Science Institute of Mechatronic Systems ZHAW IMS is member of: Director Institute of Mechatronic Systems Technikumstrasse 5 Postfach 805 CH-8401 Winterthur / Switzerland Email: wernher.vandevenn@zhaw.ch Phone +41 (0)58 934 77 89 Fax +41 (0)58 935 77 89 Website: www.ims.zhaw.ch