654-3028/01 – Modern trends in industry automation (MTPA)
| Gurantor department | Department of Industrial Systems Management | Credits | 4 |
| Subject guarantor | doc. Ing. Robert Frischer, Ph.D. | Subject version guarantor | doc. Ing. Robert Frischer, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory type B |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2022/2023 | Year of cancellation | |
| Intended for the faculties | FMT | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The student will be able to formulate the basic principles of the INDUSTRY 4.0 concept and will be oriented in the basic terms and methods of this concept. He will be acquainted with the basics of 3D printing and modeling for management, will be able to formulate requirements for advanced industrial automation systems based on robotic systems, artificial intelligence and wireless identification. Student will be acquainted with basic principles of virtual reality and its use in industrial environment.
Teaching methods
Lectures
Tutorials
Experimental work in labs
Project work
Summary
The student will be able to formulate the basic principles of the INDUSTRY 4.0 concept and will be oriented in the basic terms and methods of this concept. He will be acquainted with the basics of 3D printing and modeling for management, will be able to formulate requirements for advanced industrial automation systems based on robotic systems, artificial intelligence and wireless identification. Student will be acquainted with basic principles of virtual reality and its use in industrial environment.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Project defence.
E-learning
Other requirements
The student, during learning proces, will prepare private project.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Processes analysis
2. General control principles.
3. Control systems, their properties and implementation.
4. Structure of Industry 4.0.
5. Modeling and simulation. Digital twins.
6. Physical models based on 3D printing.
7. Hardware for automation of production. Sensors.
8. Use of control computers in automated control systems.
9. Wireless identification (RFID).
10. Industrial robots and manipulators (PRaM) as automation components.
11. Energy sources.
12. Cyber security.
13. Artificial Intelligence.
14. Datamining and Big Data.
15. Virtual reality.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction