ZUT - Polska Rama Kwalifikacji / Rok 2024/2025 / Wydział Elektryczny / Automatyka i robotyka (S1) / Sylabus przedmiotu

Wydział Elektryczny - Automatyka i robotyka (S1)

Sylabus przedmiotu Industrial process supervision systems:

Informacje podstawowe

Kierunek studiów	Automatyka i robotyka
Forma studiów	studia stacjonarne	Poziom	pierwszego stopnia
Tytuł zawodowy absolwenta	inżynier
Obszary studiów	charakterystyki PRK, kompetencje inżynierskie PRK
Profil	ogólnoakademicki
Moduł	—
Przedmiot	Industrial process supervision systems
Specjalność	przedmiot wspólny
Jednostka prowadząca	Katedra Automatyki i Robotyki
Nauczyciel odpowiedzialny	Krzysztof Jaroszewski <Krzysztof.Jaroszewski@zut.edu.pl>
Inni nauczyciele
ECTS (planowane)	4,0	ECTS (formy)	4,0
Forma zaliczenia	zaliczenie	Język	angielski
Blok obieralny	12	Grupa obieralna	1

Formy dydaktyczne

Forma dydaktyczna	KOD	Semestr	Godziny	ECTS	Waga	Zaliczenie
wykłady	W	5	10	1,0	0,44	zaliczenie
projekty	P	5	15	1,0	0,30	zaliczenie
laboratoria	L	5	30	2,0	0,26	zaliczenie

Wymagania wstępne

KOD	Wymaganie wstępne
W-1	Knowledge of the basics of PLC programming

Cele przedmiotu

KOD	Cel modułu/przedmiotu
C-1	To familiarize the student with issues related to the general principles of design of industrial process monitoring systems with particular emphasis on the issues of industrial process diagnostics.
C-2	Developing the ability to integrate control and supervisory systems for industrial processes, with particular emphasis on taking into account the implementation of diagnostic algorithms.

Treści programowe z podziałem na formy zajęć

KOD	Treść programowa	Godziny
laboratoria
T-L-1	Introduction to the topic of industrial process visualization.	2
T-L-2	HMI design principles.	2
T-L-3	Event handling.	2
T-L-4	Navigation, users.	2
T-L-5	Trends and alerts.	2
T-L-6	Implementation of visualization of the actual object.	6
T-L-7	Historian.	2
T-L-8	Signal analysis and use of models in diagnostics.	2
T-L-9	Industrial process diagnostics.	4
T-L-10	Vision systems.	4
T-L-11	Zaliczenie formy zajęć.	2
		30
projekty
T-P-1	Presenting the scope of the project.	1
T-P-2	Discuss the tools used to implement the project.	6
T-P-3	Practical implementation of a process control design that includes visualization, diagnostics, process data archiving, and control system design using methods of rapid prototyping.	6
T-P-4	Credit for class form.	2
		15
wykłady
T-W-1	Introduction. Layers of an automatic control system.	1
T-W-2	Visualization of the object status. Entering parameter values of the controlled process. Changing threshold values in security systems.	1
T-W-3	Marking in automation systems.	1
T-W-4	Industrial diagnostics - introduction.	1
T-W-5	Defect detection methods.	2
T-W-6	Methods of defect localization.	1
T-W-7	Fault-tolerant systems. Scheduling of maintenance work.	1
T-W-8	Examples of implementation of systems. Credit for lectures.	2
		10

Obciążenie pracą studenta - formy aktywności

KOD	Forma aktywności	Godziny
laboratoria
A-L-1	Participation in classes	30
A-L-2	Preparing for classes	3
A-L-3	Preparation of reports	15
A-L-4	Consultation	2
		50
projekty
A-P-1	Participation in classes	15
A-P-2	Preparation of reports	8
A-P-3	Consultation	2
		25
wykłady
A-W-1	Participation in classes	10
A-W-2	Preparation for the credit	5
A-W-3	Studying the literature	10
		25

Metody nauczania / narzędzia dydaktyczne

KOD	Metoda nauczania / narzędzie dydaktyczne
M-1	Informative lecture
M-2	Problem lecture
M-3	Lecture using a computer
M-4	Project exercises
M-5	Laboratory exercises

Sposoby oceny

KOD	Sposób oceny
S-1	Ocena formująca: Based on the observation of group work
S-2	Ocena podsumowująca: Based on reports and/or reports
S-3	Ocena podsumowująca: On the basis of written and/or oral credit

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
AR_1A_C26.2_W01 Students are able to: identify methods of detection and localization of defects for simple technical objects, justifying the choice; explain the idea of different approaches to scheduling work maintenance.	AR_1A_W06, AR_1A_W07	—	—	C-1	T-W-6, T-W-2, T-W-5, T-W-7, T-W-1, T-W-3, T-W-8, T-W-4	M-1, M-3, M-2	S-3

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
AR_1A_C26.2_U01 The student is able to design a visualization system, in particular containing diagnostic algorithms, implement this system in a specific environment tools and conduct tests of its effectiveness.	AR_1A_U06, AR_1A_U08, AR_1A_U09	—	—	C-2	T-L-10, T-P-1, T-P-3, T-L-7, T-L-3, T-P-2, T-P-4, T-L-1, T-L-4, T-L-11, T-L-2, T-L-6, T-L-5, T-L-8, T-L-9	M-5, M-4	S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia się	Ocena	Kryterium oceny
AR_1A_C26.2_W01 Students are able to: identify methods of detection and localization of defects for simple technical objects, justifying the choice; explain the idea of different approaches to scheduling work maintenance.	2,0	The student is unable to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. He obtained less than 50% of the total number of points from the evaluation forms of this effect.
	3,0	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 50-60% of the total number of points from the evaluation forms of this effect.
	3,5	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 61-70% of the total number of points from the evaluation forms of this effect.
	4,0	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 71-80% of the total number of points from the evaluation forms of this effect.
	4,5	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 81-90% of the total number of points from the evaluation forms of this effect.
	5,0	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 91-100% of the total number of points from the evaluation forms of this effect.

Kryterium oceny - umiejętności

Efekt uczenia się	Ocena	Kryterium oceny
AR_1A_C26.2_U01 The student is able to design a visualization system, in particular containing diagnostic algorithms, implement this system in a specific environment tools and conduct tests of its effectiveness.	2,0	The student is not able to implement any functionalities of the visualization system, including diagnostic methods. Obtained less than 50% of the total number of points from the evaluation forms of this effect.
	3,0	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 50-60% of the total number of points from the evaluation forms of this effect.
	3,5	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 61-70% of the total number of points from the evaluation forms of this effect.
	4,0	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 71-80% of the total number of points from the evaluation forms of this effect.
	4,5	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 81-90% of the total number of points from the evaluation forms of this effect.
	5,0	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 91-100% of the total number of points from the evaluation forms of this effect.

Literatura podstawowa

Józef Korbicz ,Jan Maciej Kościelny, Zdzisław Kowalczuk,Wojciech Cholewa, Fault Diagnosis Models, Artificial Intelligence, Applications, Springer, 2004, ISBN: 978-3-642-18615-8
Bill Hollifield, Dana Oliver, Ian Nimmo, Eddie Habibi, The High Performance HMI Handbook, Plant Automation Services, 2008, ISBN: 0977896927

Literatura dodatkowa

International Society of Automation (ISA), ANSI/ISA-101.01-2015, Human Machine Interfaces for Process Automation Systems, 2015

Treści programowe - laboratoria

KOD	Treść programowa	Godziny
T-L-1	Introduction to the topic of industrial process visualization.	2
T-L-2	HMI design principles.	2
T-L-3	Event handling.	2
T-L-4	Navigation, users.	2
T-L-5	Trends and alerts.	2
T-L-6	Implementation of visualization of the actual object.	6
T-L-7	Historian.	2
T-L-8	Signal analysis and use of models in diagnostics.	2
T-L-9	Industrial process diagnostics.	4
T-L-10	Vision systems.	4
T-L-11	Zaliczenie formy zajęć.	2
		30

Treści programowe - projekty

KOD	Treść programowa	Godziny
T-P-1	Presenting the scope of the project.	1
T-P-2	Discuss the tools used to implement the project.	6
T-P-3	Practical implementation of a process control design that includes visualization, diagnostics, process data archiving, and control system design using methods of rapid prototyping.	6
T-P-4	Credit for class form.	2
		15

Treści programowe - wykłady

KOD	Treść programowa	Godziny
T-W-1	Introduction. Layers of an automatic control system.	1
T-W-2	Visualization of the object status. Entering parameter values of the controlled process. Changing threshold values in security systems.	1
T-W-3	Marking in automation systems.	1
T-W-4	Industrial diagnostics - introduction.	1
T-W-5	Defect detection methods.	2
T-W-6	Methods of defect localization.	1
T-W-7	Fault-tolerant systems. Scheduling of maintenance work.	1
T-W-8	Examples of implementation of systems. Credit for lectures.	2
		10

Formy aktywności - laboratoria

KOD	Forma aktywności	Godziny
A-L-1	Participation in classes	30
A-L-2	Preparing for classes	3
A-L-3	Preparation of reports	15
A-L-4	Consultation	2
		50

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - projekty

KOD	Forma aktywności	Godziny
A-P-1	Participation in classes	15
A-P-2	Preparation of reports	8
A-P-3	Consultation	2
		25

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KOD	Forma aktywności	Godziny
A-W-1	Participation in classes	10
A-W-2	Preparation for the credit	5
A-W-3	Studying the literature	10
		25

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	AR_1A_C26.2_W01	Students are able to: identify methods of detection and localization of defects for simple technical objects, justifying the choice; explain the idea of different approaches to scheduling work maintenance.
Odniesienie do efektów kształcenia dla kierunku studiów	AR_1A_W06	Zna metody, techniki, narzędzia i materiały stosowane przy rozwiązywaniu prostych zadań inżynierskich w obszarze automatyki oraz robotyki.
Odniesienie do efektów kształcenia dla kierunku studiów	AR_1A_W07	Ma wiedzę o cyklu życia urządzeń, obiektów i systemów technicznych.
Cel przedmiotu	C-1	To familiarize the student with issues related to the general principles of design of industrial process monitoring systems with particular emphasis on the issues of industrial process diagnostics.
Treści programowe	T-W-6	Methods of defect localization.
	T-W-2	Visualization of the object status. Entering parameter values of the controlled process. Changing threshold values in security systems.
	T-W-5	Defect detection methods.
	T-W-7	Fault-tolerant systems. Scheduling of maintenance work.
	T-W-1	Introduction. Layers of an automatic control system.
	T-W-3	Marking in automation systems.
	T-W-8	Examples of implementation of systems. Credit for lectures.
	T-W-4	Industrial diagnostics - introduction.
Metody nauczania	M-1	Informative lecture
	M-3	Lecture using a computer
	M-2	Problem lecture
Sposób oceny	S-3	Ocena podsumowująca: On the basis of written and/or oral credit
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student is unable to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. He obtained less than 50% of the total number of points from the evaluation forms of this effect.
	3,0	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 50-60% of the total number of points from the evaluation forms of this effect.
	3,5	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 61-70% of the total number of points from the evaluation forms of this effect.
	4,0	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 71-80% of the total number of points from the evaluation forms of this effect.
	4,5	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 81-90% of the total number of points from the evaluation forms of this effect.
	5,0	The student is able to propose diagnostic methods, discuss these methods, present the principles of creating visualization systems. Obtained 91-100% of the total number of points from the evaluation forms of this effect.

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	AR_1A_C26.2_U01	The student is able to design a visualization system, in particular containing diagnostic algorithms, implement this system in a specific environment tools and conduct tests of its effectiveness.
Odniesienie do efektów kształcenia dla kierunku studiów	AR_1A_U06	Potrafi pozyskiwać, przesyłać, przetwarzać dane, podsumowywać wyniki eksperymentów empirycznych, dokonywać interpretacji uzyskanych wyników i formułować wynikające z nich wnioski.
	AR_1A_U08	Potrafi rozwiązywać zadania i problemy występujące w obszarze automatyzacji oraz robotyzacji z wykorzystaniem metod i narzędzi inżynierskich w szczególności stosując techniki analityczne lub symulacyjne.
	AR_1A_U09	Potrafi dobrać właściwe metody i narzędzia do rozwiązywania różnych zadań w warunkach nie w pełni przewidywalnych.
Cel przedmiotu	C-2	Developing the ability to integrate control and supervisory systems for industrial processes, with particular emphasis on taking into account the implementation of diagnostic algorithms.
Treści programowe	T-L-10	Vision systems.
	T-P-1	Presenting the scope of the project.
	T-P-3	Practical implementation of a process control design that includes visualization, diagnostics, process data archiving, and control system design using methods of rapid prototyping.
	T-L-7	Historian.
	T-L-3	Event handling.
	T-P-2	Discuss the tools used to implement the project.
	T-P-4	Credit for class form.
	T-L-1	Introduction to the topic of industrial process visualization.
	T-L-4	Navigation, users.
	T-L-11	Zaliczenie formy zajęć.
	T-L-2	HMI design principles.
	T-L-6	Implementation of visualization of the actual object.
	T-L-5	Trends and alerts.
	T-L-8	Signal analysis and use of models in diagnostics.
	T-L-9	Industrial process diagnostics.
Metody nauczania	M-5	Laboratory exercises
Metody nauczania	M-4	Project exercises
Sposób oceny	S-1	Ocena formująca: Based on the observation of group work
Sposób oceny	S-2	Ocena podsumowująca: Based on reports and/or reports
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student is not able to implement any functionalities of the visualization system, including diagnostic methods. Obtained less than 50% of the total number of points from the evaluation forms of this effect.
	3,0	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 50-60% of the total number of points from the evaluation forms of this effect.
	3,5	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 61-70% of the total number of points from the evaluation forms of this effect.
	4,0	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 71-80% of the total number of points from the evaluation forms of this effect.
	4,5	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 81-90% of the total number of points from the evaluation forms of this effect.
	5,0	The student is able to implement the functionalities of the visualization system, including diagnostic methods. Obtained 91-100% of the total number of points from the evaluation forms of this effect.