| Course Unit Code | 450-4103/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | First Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | There are no prerequisites or co-requisites for this course unit |
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| Name of Lecturer(s) | Personal ID | Name |
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| Z1I40 | doc. Ing. Jan Žídek, CSc. |
| KAH0017 | doc. Ing. Radana Vilímková Kahánková, Ph.D. |
| JAR0076 | doc. Ing. René Jaroš, Ph.D. |
| Summary |
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Students will get acquainted with the following principles of the Industry 4.0 concept:
- basic principles and historical context of the Industry 4.0 concept
- cloud technologies and their applications in industrial automation
- Internet of Things and its Applications in Industrial Automation
- collection and processing of data from industrial processes
- collecting and analyzing image information
- the use of virtual and augmenteded reality in industrial automation
- incorporation of artificial intelligence methods into industrial automation
- digital twin
- robots as part of the production line
- cyberphysical systems
- case studies. |
| Learning Outcomes of the Course Unit |
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| The aim of the course Application of Modern Technologies in the Field of Industrial Automation is ability to describe the concept of production lines built on the principles of Industry 4.0 resulting from the understanding and mastering of these principles and the new characteristics of modern production lines. The objective is qualified asking for cooperatation with experts in the relevant fields and technologies in the design and operation of these production lines. |
| Course Contents |
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1. Knowledge managent - new conditions for acquiring and developing knowledge in an era of rapid technological change. PLE & N 3.0 - an environment for coping with new concepts, technological and societal challenges, comparison with the traditional model of obtaining information through school, course, etc. Explanation of basic concepts and demonstration of tools. Getting Started with Portals Offering Courses, Demonstration of Industry 4.0: How to Revolutionize Your Business - The Honk Kong Polytechnic University (2018)
Exercise Task: Finding and viewing videos (Youtube, edX, ...), communities, and industry resources for Industry 4.0 (https://www.youtube.com/watch?v=uNku3yd2tJA, http://theelearningcoach.com/elearning2 -0 / designing-personal-learning-environment / ...)
2. Introduction to the Problem - Historical Context of Industrial Revolutions, Basic Principles of the Fourth Industrial Revolution, Production Process Implementing Principles of Fourth Industrial Revolution - Basic Concept of Production Line.
Task exercise: Presentation of the historical context, presentation of the basic principles of the fourth industrial revolution, finding references to information sources
3. Explaining concepts of data - information - knowledge. Means of data collection and processing in production processes, basic types of collected data, new generation sensors, tools for off-line analysis of collected data - examples of solutions, basic tasks in which data collected in production processes, structure of HW and SW resources used in production processes.
Task exercise: Categorization of data collection tools, advantages and disadvantages of individual solutions
4. Cloud technologies and their applications in production processes - platform as a service - sample solutions. Comparison with the classic implementation of ICT resources into manufacturing processes at the level of classical industrial automation, the benefits, threats and disadvantages of cloud technologies, the world's largest cloud technologies suppliers.
Exercise Task: to solve a standard task using cloud technologies.
5. IoT (Internet of Things) as part of the manufacturing process - technology, basic parameters, sample solutions. Need to transfer data in the technological process, development of technological progress in this area, interfaces and protocols, wire and wireless transmissions.
Task exercise: Design of communication infrastructure for the production process in classical industrial automation, maximizing the use of technologies and IoT elements.
6. Processing of data collected in the production process - types of processing, basic statistical processing, interpolation and extrapolation of collected data, basic requirements for collected data (sampling, quantization), types of standard tasks, utilization of processed data.
Task exercise: Presentation of data processing tools in the production process.
7. Working with image within production processes, optical inspection, basic structure of the optical inspection system. Typical data processing tasks in production processes. Example of type solutions
Task exercise: Presentation of tools for processing measured data
8. Use of virtual and extended reality technology in production processes, basic tools, applications.
Task for exercises: presentation of projects from VR and AR departments of the Department of Informatics - excursion to the laboratory.
9. Integrating artificial intelligence methods into data processing in production processes. Machine Learning - Explanation of the concept and demonstration of typical tasks using this data processing method.
Task exercise: Presentation of tasks using machine learning methods and artificial intelligence in production processes
10. Digital twin as an abstract model of the production process. SW tools for the design, operation and maintenance of production lines. Explanation of the concept of a digital twin, a digital twin problem, the benefits of using a digital twin.
Task exercise: Presentation of digital twin cases in the production process
11. Robots as part of a production line. Types of robots, ways of programming, typical tasks in which the robot replaces in a man's manufacturing process.
Task For Exercise: Excursion to the Laboratory of the Department of Robotics at FS.
12. Cyberphysical system as the basic building unit of the production line. Characteristics, properties, product role, personalization of production, ... Production line concept based on principles Industry 4.0.
Task For Exercise: An Excursion on a Modern Industrial Line Created on Principles Industry 4.0.
13. - 14. Case studies of production lines built according to the principles of Industry 4.0, conceptual design of the production line on industry principles 4.0, explanation of the correspondence of the principles of industry 4.0 and their implementation in the production process, design of other sources of information for the development of knowledge presented in the subject, essential information. |
| Recommended or Required Reading |
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| Required Reading: |
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1. SCHWAB, Klaus. The fourth industrial revolution. Geneva: World Economic Forum, [2016]. ISBN 978-1-944835-00-2
2. GILCHRIST, Alasdair. Industry 4.0: The Industrial Internet of Things. Imprint: Apress, 2016. ISBN isbn978-1-4842-2046-7
3. USTUNDAG, Alp; CEVIKCAN, Emre: Industry 4.0: managing the digital transformation. New York, NY: Springer Berlin Heidelberg, 2017. ISBN 978-3319578699
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1. SCHWAB, Klaus. The fourth industrial revolution. Geneva: World Economic Forum, [2016]. ISBN 978-1-944835-00-2
2. GILCHRIST, Alasdair. Industry 4.0: The Industrial Internet of Things. Imprint: Apress, 2016. ISBN isbn978-1-4842-2046-7
3. USTUNDAG, Alp; CEVIKCAN, Emre: Industry 4.0: managing the digital transformation. New York, NY: Springer Berlin Heidelberg, 2017. ISBN 978-3319578699
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| Recommended Reading: |
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1. MATT, Dominik; MODRAK Vladimir; ZSIFKOVITS, Helmut:, Industry 4.0 for SMEs: Challenges, Opportunities and Requirements 1st ed. 2020 Edition. ISBN 978-3030254247
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1. MAŘÍK, Vladimír. Národní iniciativa Průmysl 4.0 [online]. 3.2.2016, , 207 [cit. 2018-09-18]. Dostupné z: https://www.spcr.cz/images/2015_02_03_Prumysl_4_0_FINAL.PDF
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| Planned learning activities and teaching methods |
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| Lectures, Seminars, Project work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 40 | 20 |
| Examination | Examination | 60 | 10 |