INDUSTRY 4.0. Modern massive Data Analysis for Industry 4.0 Industry 4.0 at VŠB-TUO

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1 INDUSTRY 4.0 Modern massive Data Analysis for Industry 4.0 Industry 4.0 at VŠB-TUO Václav Snášel Faculty of Electrical Engineering and Computer Science VŠB-TUO Czech Republic

2 AGENDA 1. Industry FAculty Study 3. FACULTY Research 4. CONCLUSION

3 "The factory of the future combines a huge amount of flexibility with an optimal use of resources. Industry 4.0 provides a chance for Germany to strengthen our role as Producer and supplier of Business-IT. It is encouraging to see that all stakeholders are starting to act in close collaboration with the Platform industry 4.0." Prof. Dr. Henning Kagermann acatech National Academy of Science and Engineering President of acatech and Co-Chair of the Platform Industry 4.0

4 INDUSTRY 4.0 INTRODUCTION & IMPACT

5 Developmental Stages of the Industrial Revolution End of the 18th Century Start of the 20th Century Start of the 70s Present INDUSTRY 1.0 Mechanization by introducing mechanical production powered by water and steam 1784 First mechanical loom INDUSTRY 2.0 Electrification by introducing labor-based mass production powered by electrical energy 1870 First production line, Cincinnati slaughterhouses INDUSTRY 3.0 Automatization by electronics and IT to further automated production 1969 First programmable logic controller (PLC), Modicon 084 INDUSTRY 4.0 Networks of humans, machines (M2M) and things (Internet of Things) based on cyber-physical production systems Level of Complexity

6 INDUSTRY 4.0 DEFINITION Digitalization of Industry: connecting machines, storage systems and equipment (CPS cyber- physical systems) Vertical (company departments) and horizontal (various business partners across the value chain) integration Intelligent machines with independent information exchange Smart Factory: clearly identifiable and localized products Controlling and optimization in real-time. Data protection Information security Real-time data IPv6 M2M IT security Apps Intelligent products Cloud computing Big Data Sensors and actuators Embedded systems CPS INDUSTRY 4.0 Robust networks Smart factory Mobile communications Mobile devices Social machines Plug & produce Low cost automation Vision (VR/AR) Broadband HMI

7 INDUSTRY 4.0 Shift of Internet of Services and Internet of Things in Different Sectors Smart Energy Networks (Smart Grids) Sustainable mobility concepts (Smart Mobility, Smart Logistics) Healthcare (Smart Health, Bioinformatics) Production: vertical networking, continious engineering and horizontal integration over the whole value network 4.0

8 INDUSTRY 4.0 Interaction Between Humans and Technology Definition Platforms that connect people, objects and systems Internet of humans Paradigm shift in human-technology and human-environment interaction: smart assistance systems and virtual mobile workplace Socio-technical approach: new technologies will create room for more innovation SMART GRID SMART FACTORY CPS PLATFORMS BUSINESS WEB SMART HOME Internet of things SMART BUILDING Internet of SERVICES

9 INDUSTRY Data acquisition & Processing Collection and analysis of data on processes, quality, products, manufacturing resources and employees. The goal is for process or quality improvement. A START B A 3. Network & integration Digital connection between departments, sectors, and supply chains. The objective is to improve collaboration, coordination and transparency A B 2. Assistance Systems Technologies that support employees at work and help them focus on their core tasks e.g. smartphone, tablet, smart glasses B 5. Self-organization & autonomy A Intelligent products that control their own production. Data is automatically analyzed, and the system reacts autonomously 4. Decentralization & service orientation Products and processes are divided into modules. The control system is decentralized, and there is a change in the service orientation. A A B The field associated with the Industry 4.0 technologies and applications are fundamentally ready for the market but are not yet sufficiently used by the middle class. B B The technologies and applications in this field are not yet ready for application.

10 CYBERSPACE Threats in Cyberspace INFORMATION & ABUSE Targeted government control and influence of citizens Propaganda Consciously communicating false information State espionage Data breach Identity theft Hackers Internet crimes, encouraging sedition Terrorism

11 CYBER SECURITY Complexity of Cyber Attack Capabilities are Growing (Survey) High Foreign state sponsored cyber espionage Insecure codes Cyber terrorism Cyber warfare BUSINESS IMPACT: Citizen trust Cost to protect Legal/ regulatory Critical infrastructure Low Network attacks DATA IN SECURE BUSINESS SYSTEMS Mainframe systems Internetworking Emergence of open systems Hackers Data breach INTERNET ACCESS AND HIGHLY CONNECTED SYSTEMS Online access to citizen data Advances in internetworking Citizen self service Cyber crime Identity theft Critical infrastructure attacks Malware ACCESS ANYWHERE & ANYTIME Integrated online eligibility systems Big data Cloud Mobile DATA EVERYWHERE; USER EXPERIENCE DRIVEN Wearable technology Internet of things Smart devices Drones Artificial intelligence Mobile payment Etc. 1990s 2000s Now

12 MODERN MASSIVE DATA Modern Massive Data Sets analysis address algorithmic and statistical challenges. The goals of these algorithms are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets; and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote the cross-fertilization of ideas. One of the biggest challenges for Modern Massive Data Sets, we face today, is digitization. Digitization is the main part of cyber-physical systems (CPS) which introduces the fourth stage of industrialization, commonly known as Industry 4.0.

13 IMPACT OF INDUSTRY 4.0 Impact on Businesses and Workers Businesses Workers localized and identifiable intelligent products allow for more knowledge about manufacturing processes inter-company networking flexible fine-tuning processes with continuous collection of current internal and external data competitive advantages individual customer requirements and stronger customer integration additional requirement for employees (IT know-how) greater involvement in innovation processes new human-machine interaction with less locationbased factory work, but with more virtual, mobile work support of smart assistance systems qualification and training more self-reliant autonomy and decentralized management forms more room for decision SOCIAL MEDIA Global facilities Augmented operators Smart products Virtual productions

14 ADVANTAGES AND DISADVANTAGES ADVANTAGES individual customer requirements flexible production relief to employees work-life balance new value: new B2B services increased competiveness identifying and developing productivity and resource efficiency handling new national and global challenges VS DISADVANTAGES lack of data protection easy manipulation of remote manufacturing systems a disadvantage for rural areas is the lack of broadband connections continuous provision and maintenance of necessary infrastructures high and expensive technical standards additional requirement for employees (IT know-how)

15 INDUSTRY 4.0 INDUSTRY 4.0 at FEECS

16 WHY OSTRAVA AND INDUSTRY 4.0? Ostrava is a city in the north-east of the Czech Republic and is the capital of the Moravian-Silesian Region. Ostrava is the third largest city in the Czech Republic. Ostrava grew to prominence thanks to its position at the heart of a major coalfield, becoming an important industrial centre. It used to be nicknamed the country s "steel heart" thanks to its status as a coalmining and metallurgical centre.

17 FACULTY OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Faculty of Electrical Engineering and Computer Science was founded on January 1, 1991 and with more than 2,500 students it represents one of the largest faculties within the VŠB - Technical University of Ostrava. The real foundations of the faculty were laid in 1970 by opening the first year of independent study in the field of power engineering..

18 INDUSTRY 4.0 FOR STUDENTS COOP education, we have a co-operative education program with companies that are offering positions. Project learning or project-based learning, is a dynamic approach to teaching in which students explore real-world problems and challenges, simultaneously developing cross-curriculum skills while working in small collaborative groups. We have accreditation for Industry 4.0 program. We started on September We have accreditation for Cyber security program. We started on September 2016.

19 FEECS RESEARCH OPORTUNITY departments Department of Electrical Power Engineering Department of Electrical Engineering Department of Electronics Department of Telecommunications Department of Cybernetics and Biomedical Engineering Department of Computer Science Department of Applied Mathematics

20 FEECS RESEARCH OPORTUNITY departments Are Divided to 27 Research GROUPS Research groups cover the following topics: Smart Cities Electronics Systems Digital Factory Industry 4.0 Bioinformatics, Healthcare Internet of Things Mathematics Modelling

21 CONCLUSION INDUSTRY 4.0

22 INDUSTRY 4.0 Aim and Scope Industry 4.0 or the fourth industrial revolution, is a collective term embracing some contemporary automation, data exchange, and manufacturing technologies. Industry 4.0 is also referred as Industrial Internet, Smart Factory, Cyber Physical Production Systems (CPPS) or Advanced Manufacturing, but the meaning is mostly the same. It is defined as a collective term for technologies and concepts of value chain organizations which draw together Cyber-Physical Systems, the Internet of Things and the Internet of Services. 4.0

23 INDUSTRY 4.0 Aim and Scope artificial intelligence robotics the internet of things autonomous vehicles 3D printing nanotechnology biotechnology materials science energy storage fusion of technologies across the physical, digital and biological worlds. 4.0

24 Thank You