Advanced PLC Systems and Industrial Internet of Things

Објавено: June 20, 2023
1. Course Title Advanced PLC Systems and Industrial Internet of Things
2. Code 4ФЕИТ01008
3. Study program 2-EMA, 6-ARSI, 9-VMS
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) Second cycle
6. Academic year/semester I/1   7.    Number of ECTS credits 6.00
8. Lecturer Dr Gorjan Nadzinski
9. Course Prerequisites
10. Course Goals (acquired competencies):

This course will introduce the students to the concepts of hierarchical PLC systems. With the completion of the course, the students will become capable of working with networked and multilayered hierarchical PLC systems, and of designing more complex PLC systems by considering all necessary hardware and software related factors. They will also be able to implement state-of-the-art methods from industrial Internet of things for control, supervision, optimization, and security when working with actual industrial systems.

11. Course Syllabus:

PLC as a part of the distributed and hierarchical control systems. Communication protocols between PLCs from different suppliers. Interoperability standards. System integration platforms for PLCs. Text-based programming languages for PLC. Basic concepts of Industrial Internet of Things (IIoT) and Industry 4.0. Cyber-physical systems in industry and manufacturing, modeling, identification, and evaluation of cyber-physical systems. Industrial communication and networking: industrial communication protocols and standards, cryptographic security of industrial communication. The role of AI in industry: smart factories, machine learning for industrial process optimization. BigData: working with large quantities of data, acquisition, manipulation, sorting, analysis, BigData in industry.

12. Learning methods:

Slide presentations, interactive lectures, exercises (use of equipment and software), teamwork, case studies, invited guest lecturers, independent preparation and defense of project and seminar work, learning in digital environment (forums, consultations).

13. Total number of course hours 180
14. Distribution of course hours 3 + 3
15. Forms of teaching 15.1 Lectures-theoretical teaching 45 hours
15.2 Exercises (laboratory, practice classes), seminars, teamwork 45 hours
16. Other course activities 16.1 Projects, seminar papers 30 hours
16.2 Individual tasks 30 hours
16.3 Homework and self-learning 30 hours
17. Grading
17.1 Exams 0 points
17.2 Seminar work/project (presentation: written and oral) 50 points
17.3. Activity and participation 0 points
17.4. Final exam 50 points
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51 to 60 points 6 (six) (E)
from 61 to 70 points 7 (seven) (D)
from 71 to 80 points 8 (eight) (C)
from 81 to 90 points 9 (nine) (B)
from 91 to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Successfully completed project assignment.
20. Forms of assessment

The students are obliged to complete and present a project assignment during the semester. A final written and/or oral exam is scheduled during the exam sessions. The students complete the course if they pass the final exam and had previously completed and presented the project assignment during the semester. The final grade takes into account the points from both the final exam and the project assignment.

21. Language Macedonian and English
22. Method of monitoring of teaching quality Self-evaluation
23. Literature
23.1.       Required Literature
No. Author Title Publisher Year
1. L. A. Bryan, E. A.  Bryan Programmable Controllers: Theory and Implementation Industrial Text Company 1997
2. Manesis, Nikolakopoulos Introduction to Industrial Automation CRC Press 2018
3. S. Jeschke, et. al. Industrial Internet of Things Springer 2017
23.2.       Additional Literature
No. Author Title Publisher Year
1.  T. Devezas, J. Leitao, A. Sarygulov  Industry 4.0  Springer  2017