Identifying Data 2019/20
Subject (*) Industrial System Integration Code 730497237
Study programme
Mestrado Universitario en Enxeñaría Industrial (plan 2018)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
Second Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Enxeñaría Industrial
Coordinador
Velo Sabin, Jose Maria
E-mail
jose.velo@udc.es
Lecturers
Velo Sabin, Jose Maria
E-mail
jose.velo@udc.es
Web http://https://moodle.udc..es
General description Enfoque práctico para a integración de sistemas industriais baseados en IoT como produto de integración de sistemas industriais dentro do concepto de Industria 4.0

Study programme competencies
Code Study programme competences
A7 ETI7 - Ability to design electronic systems and industrial instrumentation.
A8 ETI8 - Ability to design and project automated production systems and advanced process control.
B1 CB6 - Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context.
B2 CB7 - That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of ??study.
B3 CB8 - That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
B4 CB9 - That the students know how to communicate their conclusions -and the knowledge and ultimate reasons that sustain them- to specialized and non-specialized audiences in a clear and unambiguous way.
B5 CB10 - That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
B6 G1 - Have adequate knowledge of the scientific and technological aspects in Industrial Engineering.
B13 G8 - Apply the knowledge acquired and solve problems in new or unfamiliar environments within broader and multidisciplinary contexts.
B14 G9 - Be able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments.
B15 G10 - Knowing how to communicate the conclusions -and the knowledge and ultimate reasons that sustain them- to specialized and non-specialized publics in a clear and unambiguous way.
B16 G11 - Possess the learning skills that allow to continue studying in a self-directed or autonomous way.
C1 ABET (a) - An ability to apply knowledge of mathematics, science, and engineering.
C2 ABET (b) - An ability to design and conduct experiments, as well as to analyze and interpret data.
C3 ABET (c) - An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
C6 ABET (f) - An understanding of professional and ethical responsibility.
C7 ABET (g) - An ability to communicate effectively.
C8 ABET (h) - The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
C9 ABET (i) - A recognition of the need for, and an ability to engage in life-long learning.
C11 ABET (k) - An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Learning aims
Learning outcomes Study programme competences
Coñecer as diferentes tecnoloxías para a medición de variables de entorno e integración de sistemas industriais en xeral AJ7
AJ8
BJ1
BJ3
BJ5
CJ1
CJ3
Coñecer o obxectivo, a operación, a tecnoloxía existente e saber dimensionar os sistemas e os actuadores de sensores industriais AJ7
AJ8
BJ1
BJ3
BJ5
BJ16
CJ1
CJ6
CJ7
Coñecer as tecnoloxías de interconexión e integración entre sensores, actuadores e equipos AJ7
AJ8
BJ1
BJ2
BJ3
BJ4
BJ5
BJ6
BJ13
BJ14
BJ15
CJ1
CJ2
CJ3
CJ8
CJ9
CJ11

Contents
Topic Sub-topic
Medición e obtención de variables en contornas industriais IoT como produto da integración de sistemas industriais.
Introdución ao ecosistema IOT
Elección y dimensionamiento de sistemas sensores y actuadores IoT Hardware: arquitectura, sensores e actuadores.
Plataformas IoT
Deseño e desenvolvemento de sistemas de interconexión e integración Desenvolvementos con Arduino.
Ethernet baseada en redes industriais.
Internet industrial das cousas (IIoT) e Industria 4.0.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A7 A8 B1 B3 B5 B16 B6 C1 C6 C8 C9 9 15 24
Problem solving A7 A8 B2 B3 B5 B13 C1 C2 C3 4 12 16
Objective test A7 A8 B1 B2 B15 B14 C7 2 15 17
Laboratory practice A7 A8 B1 B2 B3 B4 B5 C1 C2 C3 C11 5 12 17
 
Personalized attention 1 0 1
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Guest lecture / keynote speech A través do método expositivo, o profesor establecerá os fundamentos teóricos e prácticos sobre os distintos contidos que conforman a materia. Para estas sesións utilizaranse medios audiovisuais e manterase un diálogo cos alumnos para facilitar a aprendizaxe.
Problem solving Propoñeranse exercicios, problemas ou traballos en grupo ou individualmente, relacionados cos contidos desenvolvidos nas clases expositivas.
Objective test Proba de avaliación final, consistente en cuestións teórico-prácticas cuxos obxectivos son comprobar se o alumno adquiriu as competencias establecidas na materia
Laboratory practice Usarase o hardware / software necesario para desenvolvelos.

Personalized attention
Methodologies
Problem solving
Laboratory practice
Description
Asociados ás clases expositivas e prácticas, estarán dispoñibles para clarificar as súas posibles dúbidas e / ou problemas, clases particulares de tutoría ou en pequenos grupos.

Assessment
Methodologies Competencies Description Qualification
Objective test A7 A8 B1 B2 B15 B14 C7 Proba de avaliación final 50
Problem solving A7 A8 B2 B3 B5 B13 C1 C2 C3 Realización de traballos, exercicios e problemas 20
Laboratory practice A7 A8 B1 B2 B3 B4 B5 C1 C2 C3 C11 De asistencia obrigatoria. Valorarase o informe final de entrega e a actitude que o alumno mostrou durante o desenvolvemento da mesma. 30
 
Assessment comments

A solicitude de exención académica aceptarase na asistencia ás clases teóricas. Non así ás clases prácticas, que serán obrigatorias.


Sources of information
Basic Tom Wanyama (2016). A Practical Approach To Industrial Systems Integration. McMaster University, Hamilton
(). Presentaciones del Profesor.

Complementary


Recommendations
Subjects that it is recommended to have taken before
Electronics and Instrumentation/730497207

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

A entrega dos traballos documentais que se realicen nesta materia realizarase a través de Moodle en formato dixital, sen necesidade de imprimilo



(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.