SylabUZ
| Course name | Visualisation and monitoring of industrial processes |
| Course ID | 06.0-WE-AutP-NMofIP-Er |
| Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
| Field of study | WIEiA - oferta ERASMUS / Automatic Control and Robotics |
| Education profile | - |
| Level of studies | First-cycle Erasmus programme |
| Beginning semester | winter term 2018/2019 |
| Semester | 5 |
| ECTS credits to win | 3 |
| Course type | optional |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 15 | 1 | - | - | Credit with grade |
| Laboratory | 30 | 2 | - | - | Credit with grade |
To familiarize students with the basic functions and structure of visualization systems.
To shape basic skills in the creation of applications for visualization of industrial processes.
Principles of programming, Microprocessor systems.
Introduction. Monitoring and visualisation of industrial processes. The genesis of visualization systems. Structure and functions of visualisation systems - HMI, SCADA. Requirements put forward for visualisation systems. Visualisation systems in the information structure of an enterprise SCADA, MES, ERP. Exemplary applications of visualisation systems.
Elements of visualisation systems. Intelligent measurement-control devices in visualisation systems. Architecture of a communication layer of visualisation systems. Communication protocols in visualisation systems. The use of radio modems in visualization system.
The use of visualization systems. Configuring visualization systems in developing synoptic screens, defining variables, scripting and animation links, configuring alarms and trends, archiving variables, creating reports in text files. The use of advanced module to create recipes.
Object-oriented technologies in visualization systems. The integration of visualization systems with database systems. The use of object-oriented technology for the exchange of data between the visualization application and industrial automation devices (PLCs).
Lecture, laboratory exercises.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture – the credit is given for obtaining a positive grade in written or oral tests carried out at least once in the semester.
Laboratory – the credit is given for positive grades in all laboratory exercises to be carried out according to the laboratory syllabus.
Calculation of the final grade: lecture 50% + laboratory 50%
1. Winiecki W., Nowak J., Stanik S.: Graphic integrated software environments for designing measuring – controlling systems, Mikom, Warszawa, 2001 (in Polish).
2. Kwaśniewski J.: PLC in engineering practice, BTC, Legionowo, 2008 (in Polish).
3. Kwiecień R.: Computer systems for industrial automation, Helion, Gliwice, 2012 (in Polish).
4. Wonderware InTouch HMI Visualisation Guide, Invensys, 2012.
5. Wonderware InTouch HMI Data Management Guide , Invensys, 2012.
6. Wonderware InTouch HMI Alarms and Events Guide, Invensys, 2012.
9. Bailey D., Wright E.: Practical SCADA for Industry, Elsevier, London, 2003.
Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 01-05-2020 11:11)
