450-2059/02 – Computer Systems for Smart Factory (PSSF)
Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 4 |
Subject guarantor | prof. Ing. Jiří Koziorek, Ph.D. | Subject version guarantor | prof. Ing. Jiří Koziorek, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 3 | Semester | summer |
| | Study language | English |
Year of introduction | 2016/2017 | Year of cancellation | 2020/2021 |
Intended for the faculties | FEI | Intended for study types | Bachelor |
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
Lectures
Individual consultations
Experimental work in labs
Project work
Summary
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:
Recommended literature:
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.
E-learning
Other requirements
There are no other requirements.
Prerequisities
Subject has no prerequisities.
Co-requisities
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.