450-4107/01 – Computer Systems for Smart Factory (PSSF)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits3
Subject guarantorprof. Ing. Jiří Koziorek, Ph.D.Subject version guarantorprof. Ing. Jiří Koziorek, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageCzech
Year of introduction2021/2022Year of cancellation
Intended for the facultiesFSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KOZ47 prof. Ing. Jiří Koziorek, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 1+2
Part-time Credit and Examination 0+14

Subject aims expressed by acquired skills and competences

The main objective of the subject is demonstration of new trends in industrial control and information systems. These are approaches based for example on concept Industry 4.0, describing an active and autonomous approach to digital lifecycle of the product. Students will learn the terms as Cyber-Physical Systems, Smart and Smart Product Factory, the concepts Internet of Things and Internet of Services in industrial automation. In addition to the general knowledge of these areas, students will obtain practical experiences with control, information and communication systems used in the Smart Factory during the laboratories trainings. After completing the course, students will have an idea about new trends in automation and practical experience with the current technology used in this area.

Teaching methods

Individual consultations
Experimental work in labs
Project work


Trends leading to an integration of information technologies into all levels of production management can be seen in today's industry. There are concepts of digitization processes and the lifecycle of the products. One of the most important is Industry 4.0, known as the fourth industrial revolution. Industry 4.0 is active, autonomous, and self-organizing approach to production based on a digital product lifecycle. Products, machines, and resources will communicate where they come from and how they should be handled and processed. All products and processes have digital label with basic information about the product, from its design through the manufacturing operations to information about recycling. So each product leaves a specific digital footprint enabling manufacturers to improve the quality of their products and services, to bring new services and it will allow customers to have more information about the product. To ensure these requirements, it is necessary to implement the appropriate instruments, procedures and functions from the lowest level to the highest level of process control. In this course, students become familiar with implementation of systems based on modular, networked and secure automation. Practical trainings cover issues from real-time control systems, through industrial communications to information and visualization systems.

Compulsory literature:

BERGER, Hans. Automating with SIMATIC S7-1500: Configuring, Programming and Testing with STEP 7 Professional. Publicis; 1st edition, 2014. ISBN-13: 978-3895784040. Wonderware Technical Documentation. Dostupné z: http:// http://software.schneider-electric.com/wonderware/ MUELER, J. Controlling with SIMATIC. Erlangen, Germany: Publicis Corporate Publishing, 2005. ISBN 3-89578-255-6. KAMEL, K; KAMEL, E. Programmable Logic Controllers. McGraw-Hill Education, 2014. ISBN 978-0-07-181045-6.

Recommended literature:

WILAMOWSKI, Bogdan M. a David J. IRWIN. (eds) Industrial Communication Systems (Electrical Engineering Handbook). 2nd edition. Boca Raton: CRC Press, 2011. ISBN-13: 978-1439802816. BERGER, Hans. Automating with SIMATIC. 4th edition. Erlangen, Germany: Publicis Publishing, 2009. ISBN 978-3-89578-333-3.

Way of continuous check of knowledge in the course of semester

During the semester, students are working on a individual project on the selected topic. Progress of work will be continuously assessed. Credit conditions: Students have to demonstrate the functionality of applications solved within the project and submit a report for the project.


Other requirements

There are no other requirements.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. Information technologies for process and machine control in industry. Concept Industry 4.0. 2. Distributed control and information systems. 3. Communications in distributed control systems. 4. Concept of industry based on Cyber-Physical Systems, Smart and Smart Product Factory. 5. Control systems for the Smart Factory - basic characteristics. 6. Control systems for the Smart Factory - closed loop control. 7. Control systems for the Smart Factory - communications. 8. Control systems for the Smart Factory - mechatronic systems, positioning. 9. Control systems for the Smart Factory - functional safety and information security. 10. Information and visualization systems - basic tools and features. 11. Information and visualization systems - architectures and functions. 12. Information and visualization systems - communication capabilities. 13. Information and visualization systems - process data management. 14. Information and visualization systems - providing and processing of data.

Conditions for subject completion

Part-time form (validity from: 2021/2022 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  10
        Examination Examination 60  30 3
Mandatory attendence participation: Obligatory attendance at 80% of the exercises.

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (N1041A040013) Intelligent transport and logistics P Czech Ostrava 2 Compulsory study plan
2023/2024 (N1041A040013) Intelligent transport and logistics K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

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