Subject: Design of Industrial IoT Systems (17.EK475 )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|
Educational goal:
Student will acquire general knowledge about Internet of Things (IoT) and its underlying principles. It will particularly focus on real-time systems. The course will cover Industrial IoT including its reference models, architecture and convergence of IT/OT technologies. The course will include specific applications of industrial IoT systems and protocols developed for Industrial IoT.
Educational outcome:
The student will be able to understand basic principles of industrial automation and cyber-physical systems. He/she will obtain insights into existing concepts and solutions for supervisory and control systems (and real-time systems) based on general IoT platforms. Student will acquire generic knowledge about technical processes and their classificiation and will be able to design industrial IoT systems.
Course content:
Process automation: Real Time Systems. Existing systems for supervisory control and monitoring (SCADA/M2M). IIoT - Industrial Internet of Things: components and architecture, differences to IoT. Application Scenarios: 1) Process Automation (PlantWeb architecture), Building Automation (BAS communication standards), 3) Power Systems Automation (Smart Grid). Wireless aspects: Narrowband IoT, Lora, Wireless HART.
Teaching methods:
Lectures, computer and lab exercises.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2017 | English | |||
| 2011 | English | |||
| 2000 | English | |||
| 2013 | John Wiley & Sons | English |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Presentation | Yes | No | 10.00 |
| Theoretical part of the exam | No | Yes | 40.00 |
| Project defence | Yes | Yes | 60.00 |
| Test | Yes | No | 40.00 |
Lecturers:
doc. dr Narandžić Milan
Assistant Professor
Lectures
vanr. prof. dr Bojović Živko
Associate Professor
Laboratory classes
doc. dr Narandžić Milan
Assistant Professor
Laboratory classes
doc. dr Narandžić Milan
Assistant Professor
Computational classes
vanr. prof. dr Bojović Živko
Associate Professor
Computational classes
vanr. prof. dr Bojović Živko
Associate Professor
Lectures
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.