Subject Datasheet
Download PDFBudapest University of Technology and Economics | |
Faculty of Transportation Engineering and Vehicle Engineering |
1. Subject name | Automation of logistics systems | ||||
2. Subject name in Hungarian | Logisztikai rendszerek automatizációja | ||||
3. Code | BMEKOALM325 | 4. Evaluation type | exam grade | 5. Credits | 5 |
6. Weekly contact hours | 2 (10) Lecture | 0 (0) Practice | 2 (11) Lab | ||
7. Curriculum | Logistics Engineering MSc (L) |
8. Role | Specialization (sp) at Logistics Engineering MSc (L) |
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9. Working hours for fulfilling the requirements of the subject | 150 | ||||
Contact hours | 56 | Preparation for seminars | 18 | Homework | 40 |
Reading written materials | 22 | Midterm preparation | 4 | Exam preparation | 10 |
10. Department | Department of Material Handling and Logistics Systems | ||||
11. Responsible lecturer | Dr. Bohács Gábor | ||||
12. Lecturers | Gáspár Dániel, Szabó Péter | ||||
13. Prerequisites | |||||
14. Description of lectures | |||||
In the course, we will systemise the company's process control, SCADA and control systems. Among others operational conditions of PLC control systems (multiple controllers), possible solutions, and communication implementation. Getting to know the communication protocols and interfaces commonly used in industry. Within the course it is in automated systems, special attention is paid to discussing the application possibilities of sensors and actuators to include operational principles and features. In addition, the process of constructing and designing a process algorithm is discussed based on a known task. Finally, determining the possible connection points of the system elements (people, machines, identification, and quality control) completes the discussed fields. | |||||
15. Description of practices | |||||
16. Description of labortory practices | |||||
Demonstration of sensors, actuators in an automated demonstrational systems built in the laboratory of the department, recording of sensor characteristics under laboratory conditions. Testing network data communication methods and performing complex management tasks of automated demonstrational systems built in the laboratory of the department. | |||||
17. Learning outcomes | |||||
A. Knowledge
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18. Requirements, way to determine a grade (obtain a signature) | |||||
The end semester signature depends on the submission of the satisfactory home assignments, satisfactory midterm test and the acceptance of the lab records. The final grade is calculated as: 20% - midterm test, 15-15% of the homeworks and 50% of the written exam, which can be corrected orally by the students if necessary. | |||||
19. Opportunity for repeat/retake and delayed completion | |||||
The homeworks' final submission and the midterm test both can be resubmitted once. | |||||
20. Learning materials | |||||
Students can download the subject notes in pdf format via Moodle. | |||||
Effective date | 10 October 2019 | This Subject Datasheet is valid for | Inactive courses |