Guías Docentes Electrónicas
1. General information
Course:
PROCESS CONTROL AND FACTORY AUTOMATION
Code:
310628
Type:
CORE COURSE
ECTS credits:
6
Degree:
2338 - MASTERS DEGREE PROGRAMME IN INDUSTRIAL ENGINEERING (AB)
Academic year:
2023-24
Center:
605 - SCHOOL OF INDUSTRIAL ENGINEERS. AB
Group(s):
10  11 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
Y
Lecturer: LIDIA MARÍA BELMONTE MORENO - Group(s): 10  11 
Building/Office
Department
Phone number
Email
Office hours
E.T.S. Ingenieros Industriales de Albacete / Despacho 0.E.1
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
926053192
LidiaMaria.Belmonte@uclm.es
Check Secretaría Virtual: https://secretariavirtual.apps.uclm.es/

Lecturer: GABRIEL CEBRIÁN MÁRQUEZ - Group(s): 10  11 
Building/Office
Department
Phone number
Email
Office hours
Escuela Superior de Ingeniería Informática / Despacho 1.E.15
SISTEMAS INFORMÁTICOS
967599296
Gabriel.Cebrian@uclm.es
https://www.esiiab.uclm.es/pers.php?codpers=815&curso=2023-24

2. Pre-Requisites

Pre-requisites

Before taking this course, it is recommended that the student gets basic knowledge on:

  1. Fundamentals of Computer Science and Programming.
  2. Fundamentals of System and Control Theory.
  3. Fundamentals of Industrial Installations.
3. Justification in the curriculum, relation to other subjects and to the profession

Justification in the study plan, and relation with other courses and the profession

The current study plan aims at providing to the future professional the following results:

  1. Acquisition of basic knowledge to solve tasks in projects related to production automation.
  2. Development of criteria to select the best solution to a given problem.
  3. Knowledge of systems used in the field of process control and production automation.
  4. Acquisition of basic knowledge to understand designs for process control.

4. Degree competences achieved in this course
Course competences
Code Description
A01 To have appropriate knowledge of the scientific and technological aspects of mathematical, analytical and numerical methods in engineering, electrical engineering, energy engineering, chemical engineering, mechanical engineering, continuous medium mechanics industrial electronics, automation, manufacturing, materials, quantitative management methods, industrial computing, town planning, infrastructures, etc.
A02 To plan, calculate and design products, processes, facilities and plants.
A04 To conduct research, development and innovation in products, processes and methods.
B08 Ability to design and plan automated production and advanced process control systems.
CB06 Knowledge and skills to organise and manage enterprises.
CB07 Strategy and planning knowledge and skills applied to different organisational structures.
CB09 Knowledge of financial and costs accounting.
CB10 Knowledge of information systems for management, industrial organisation, production, logistics and quality management systems.
D04 Knowledge and abilities to plan and design electrical and fluid installations, lighting, heating and ventilation, energy saving and efficiency, acoustics, communications, domotics, Smart buildings and security installations.
D06 Knowledge and ability to perform verification and supervision of installations, processes and products.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Acquire the knowledge required to understand process control design.
Acquire basic knowledge required for tasks in production automation projects.
Gain knowledge of the systems used in process control and production automation.
Develop criteria to select the best solution for a specific problem.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Industrial Control
  • Unit 2: Process Automation
  • Unit 3: Robotics
  • Unit 4: Computer Vision
  • Unit 5: Communication Networks in Industrial Environments
  • Unit 6: Discrete Events Control
  • Unit 7: Optimisation
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures A01 A02 A04 B08 CB06 CB07 CB09 CB10 D04 D06 0.72 18 Y N
Problem solving and/or case studies [ON-SITE] Lectures A01 A02 A04 B08 CB10 D04 D06 0.6 15 Y N
Class Attendance (practical) [ON-SITE] Practical or hands-on activities A01 A02 A04 B08 CB10 D04 D06 0.32 8 Y Y
Workshops or seminars [ON-SITE] Workshops and Seminars A01 A02 A04 B08 D04 D06 0.08 2 Y N
Group tutoring sessions [ON-SITE] Group tutoring sessions A01 A02 A04 B08 D04 D06 0.52 13 Y N
Final test [ON-SITE] Assessment tests A01 A02 A04 B08 D04 D06 0.16 4 Y Y
Study and Exam Preparation [OFF-SITE] Self-study A01 A02 A04 B08 D04 D06 3.6 90 N N
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Laboratory sessions 15.00% 0.00% Laboratory practices
Practicum and practical activities reports assessment 15.00% 0.00% Practice reports
Projects 10.00% 0.00% Academically-directed assignments
Final test 60.00% 100.00% The student who carries out continuous evaluation will obtain 60% of his global grade through the final test of the subject. Students who do not carry out continuous assessment must be examined in this final test, which will have three parts: theoretical-practical aspects seen in the course, a part related to the laboratory practices and, finally, a part related to the resolution of a practical case (see Evaluation Criteria).
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    The breakdown of weights for each activity is shown in the "Grading" section of this guide. A minimum grade of 4.0 out of 10 in the final test and a minimum grade of 4.0 out of 10 in the laboratory practices and their reports will be required to pass the course. If these requirements are not met, the final grade of the course will be no greater than 4.5.

    The grades obtained in any of the parts will not be kept for subsequent courses.
  • Non-continuous evaluation:
    Those students who have not participated in the continuous evaluation during the semester will have to take a final test. This test will consist of three parts that will include the assessable activities of the continuous evaluation modality of the course:

    1) Part related to theoretical-practical aspects (Weight 60%; Minimum Required Grade 4.0 out of 10 (*)): Written test related to theoretical and practical issues seen in the course.
    2) Part related to laboratory practices (Weight 30%; Minimum Required Grade 4.0 out of 10 (*)): The student must obtain the practical results requested by means of simulation.
    3) Part related to the resolution of a practical case (Weight 10%).

    (*) If the minimum grade of 4.0 out of 10 is not achieved in the assessable activities or parts indicated, the course will not be passed and the final grade will be no greater than 4.5.

    The grades obtained in any of the parts will not be kept for subsequent courses.

Specifications for the resit/retake exam:
There will be a final test with three parts. These parts include the assessable activities of the continuous evaluation modality of the course, and it is equivalent to the final exam of the non-continuous modality:

1) Part related to theoretical-practical aspects (Weight 60%; Minimum Required Grade 4.0 out of 10 (*)): Written test related to theoretical and practical issues seen in the course.
2) Part related to laboratory practices (Weight 30%; Minimum Required Grade 4.0 out of 10 (*)): The student must obtain the practical results requested by means of simulation.
3) Part related to the resolution of a practical case (Weight 10%).

(*) If the minimum grade of 4.0 out of 10 is not achieved in the assessable activities or parts indicated, the course will not be passed and the final grade will be no greater than 4.5.

The grades equal to or greater than 5.0 obtained in the ordinary call for the assessable activities of the continuous evaluation (final exam, laboratory practices and reports, and assignments), or for the equivalent parts in the non-continuous evaluation modality (theoretical/practical aspects, laboratory practices, and resolution of a practical case), may be kept for the corresponding part of the extraordinary call.

The grades obtained in any of the parts will not be kept for subsequent courses.
Specifications for the second resit / retake exam:
Identical to those indicated in the non-continuous evaluation modality of the ordinary call.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Final test [PRESENCIAL][Assessment tests] 4

Unit 1 (de 7): Industrial Control
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Lectures] 3
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Unit 2 (de 7): Process Automation
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Lectures] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Unit 3 (de 7): Robotics
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Lectures] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Unit 4 (de 7): Computer Vision
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 6
Problem solving and/or case studies [PRESENCIAL][Lectures] 2
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] 4
Workshops or seminars [PRESENCIAL][Workshops and Seminars] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 18

Unit 5 (de 7): Communication Networks in Industrial Environments
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Lectures] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Unit 6 (de 7): Discrete Events Control
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Lectures] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Unit 7 (de 7): Optimisation
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Lectures] 2
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] 2
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Acedo Sánchez J. Instrumentacion y control avanzado de procesos Diaz de Santos 2006  
Boyer A. SCADA: Supervisory Control and Data Acquisition ISA 1999  
Bradsky G., Kaehler A. O'Reilly Learning OpenCV - Computer Vision with OpenCV Library 2008  
González R.C., Woods R.E. Digital Image Processing (3ª Ed.) Pearson Prentice-Hall 2008  
Ogata K. Ingeniería de Control Moderna (5ª Ed.) Prentice Hall 2010  
Pajares G., De la Cruz J. Visión por Computador. Imágenes Digitales y Aplicaciones (2ª Ed.) Ra-Ma 2007  
Rodriguez Penin A. Sistemas SCADA (3ª Ed.) Marcombo 2012  
Somolinos J.A., Morales R., Tremps E. Fundamentos de la Ingeniería de Control Editorial Universitaria Ramón Aceres 2013  
Vélez Serrano J.F., et al. Visión por Computador (2ª Ed.) 2003 Libro electrónico descargable en la Web de los autores  



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