Mobility - E371110 - Industrial Automation

Description:: In this course, students will learn the basic principles of automated systems used in current industrial practice, especially focused on the use of advanced procedures in the spirit of the Industry 4.0 initiative. Specifically, these are PLCs and PLC networks, Distributed Control Systems (DCS) and Distributed Artificial Intelligence (DAI), Robotic Manufacturing Systems (RMS), Use of controlled drives, Industrial sensors, Micro machining, Methods of system integration and MES systems, Human Machine Interface (HMI) and SCADA Systems (Visualization and Data Collection), Databases and cyber security, Data analysis, Machine vision (including optical processing and image preprocessing) and Machine learning.
Contents:: 1. Control systems
2. Electric drives for automation 1
3. Electric drives for automation 2
4. Robotization
5. System Integration (MES)
6. Micro machining
7. Industrial HMI Design
8. Databases and cyber security
9. Data analysis
10. Optical image processing for machine vision
11. Machine vision
12. Machine learning
Recommended literature:: R. W. Lewis,Programming Industrial Control Systems Using IEC 1131-3, Publisher Institution of Engineering and Technology, Publication City/Country Stevenage, United Kingdom, 1998, ISBN10 0852969503, ISBN13 9780852969502.
Keywords:: Automation, PLC, SCADA, Industrial communication

Abbreviations used:

Semester:

Mode of completion of the course:

A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
GA ... Graded Assessment (a grade is awarded for this course)
EX ... Examination (a grade is awarded for this course)
A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):