Course unit code:
A422T2_4I
Course unit title:
Technical Means of Automation III
Mode of delivery, planned learning activities and teaching methods:
laboratory practice – 3 hours weekly (on-site method)
Credits allocated:
4
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
2.
Prerequisites for registration:
none
Assesment methods:
 The evaluation is based on a point system. By fulfilling the study activities, students can acquire 100 points at maximum. A continuous assessment of student’s work and acquired knowledge is ensured via two laboratory assignments, 25 points each (50 points in total). The final exam is carried out in the form of completion and defense of a final project. Students can get a maximum of 50 points for the exam. The requirement for successful completion of the course is acquiring at least 56% of points for laboratory assignments and at least 56% of points for the final exam. The overall grade is calculated using a standard FCFT grading scale.
Learning outcomes of the course unit:
Students have acquired knowledge and practical skills in working with industrial information and control systems. They are capable of reading, modifying, and creating process diagrams, as well as using such diagrams in designing instrumentation and control for technological operations. In the Simscape environment, students can create accurate physical models of measurement and drive systems, as well as comprehensive technological processes. They have a basic understanding of the functioning of distributed control systems and data acquisition and monitoring systems. Students possess basic practical laboratory skills with the implementation of such systems and can design multi-level operator screens according to industrial standards.
Course contents:

The course is divided into four main parts. The first part deals with industrial information standards in the form of descriptive process diagrams (Process Flow Diagram - PFD, Piping and Instrumentation Diagram - P&ID, Loop Diagram - LD) and topological diagrams of industrial information and control systems. The second part focuses on detailed modeling and simulations of physical systems in the Simscape environment. The third, most extensive part, focuses on industrial information and control systems, their composition, operating principles, programming, and the development of functional components for both control and signaling logic. This part also focusses on the design of multi-level operator screens (HMI). The last part is dedicated to the final project.

1. Industrial information standards (allocation 9h)
a. Process Flow Diagrams (PFD, P&ID, LD)
b. Reading and Creating PFDs and P&IDs
c. Design of instrumentation and control using process diagrams
d. Topological diagrams of industrial information and control systems

2. High-fidelity physical modeling (allocation 6h)
a. Fundamentals of working in the Simscape environment (Fluid, Electrical, Battery)
b. Modeling measurement and drive systems
c. Modeling and control of technological processes

3. Industrial information and control systems (allocation 15h)
a. Supervisory control and data acquisition systems (SCADA)
b. Distributed control systems (DCS)
c. Operator screens (HMI) for DCS

4. Work on the final project (allocation 9h)
a. Selection of the final project
b. Project development
c. Presentation and defense of the project

Recommended or required reading:
Recommended:
  • HOLLIFIELD, B. – HABIBI, E – OLIVER, D. – NIMMO, I. The High Performance HMI Handbook; Plant Automation Services, Inc., 2013, ISBN 9780977896950
  • KUPHALDT, T.R.; Lessons In Industrial Instrumentation, 2019, (publikované ako voľne dostupný text pod Creative Commons Attribution 4.0 International Public License), dostuné online (https://www.ibiblio.org/kuphaldt/socratic/sinst)
Language of instruction:
Slovak, English
Name of lecturer(s):
M. Kalúz (2024/2025 – Winter)
Course supervisor:
doc. Ing. MSc. Martin Klaučo, PhD.
Last modification:
13. 9. 2021

Department:
Department of Information Engineering and Process Control
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