SylabUZ
| Course name | Intelligent Control and Measurement Systems |
| Course ID | 11.9--AutP-ICaMS-Er |
| Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
| Field of study | Automatic Control and Robotics |
| Education profile | academic |
| Level of studies | First-cycle Erasmus programme |
| Beginning semester | winter term 2022/2023 |
| Semester | 6 |
| ECTS credits to win | 5 |
| 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 |
| Laboratory | 30 | 2 | - | - | Credit with grade |
| Lecture | 30 | 2 | - | - | Exam |
- introduce students to the construction, operation and basics of designing intelligent measurement and control systems,
- introduce students to selected communication standards used in intelligent measurement and control systems,
- shaping among students basic skills in the field of configuration, programming and testing of measurement and control systems.
SCADA Systems, Embedded Systems, Industrial Automation Devices, Control Systems
Basics of intelligent measurement and control systems. Evolution of measurement and control systems. ISA communication reference model. Architectures of network measurement and control systems. Smart nodes. Dedicated operating systems of measurement and control systems nodes. Characteristic features of intelligent measurement and control systems. Communication protocols for measurement and control systems. Characteristics of selected standard communication protocols: PROFIBUS, CAN, LonWorks and INTERBUS-S. Industrial Ethernet. Integration, configuration and management of measurement and control systems. Internet technologies in measurement and control systems. Dedicated web servers. Wireless measurement and control systems. Communication protocols for wireless measurement and control systems. Wireless sensor networks. IoT in measurement and control systems. Selected application areas. Assessment of communication parameters. Basics of design. Analysis of communication efficiency and time parameters of the designed measurement and control system. Criteria for selecting a communication protocol. Examples of measurement and control systems with distributed intelligence.
lecture: discussion, consultation, conventional lecture
laboratory: discussion, consultations, group work, project method
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - the condition for obtaining credit is to obtain a positive grade from the written exam.
Laboratory - the condition for obtaining credit is positive grades from all laboratory exercises planned for implementation under the laboratory program
Final grade components = lecture: 50% + laboratory: 50%
Hughes T. A.: Measurement and Control Basics. Instrument Society of America, 2015.
Guruprasad R.K., Santhosh K.V.: Smart Sensors Measurements and Instrumentation, Springer, 2021.
Mukhopadhyay S., Ch.: Intelligent Sensing, Instrumentation and Measurements, Springer, 2013
Modified by dr inż. Emil Michta, prof. UZ (last modification: 14-04-2022 21:50)
