Identifying Data 2022/23
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
Casteleiro Roca, José Luis
 E-mail
jose.luis.casteleiro@udc.es
Lecturers
Casteleiro Roca, José Luis
 E-mail
jose.luis.casteleiro@udc.es
Web
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
Know the different technologies for the measurement of environment variables and integration of industrial systems in general AJ7
AJ8
 BJ1
 CJ1
CJ3
Know the objective, operation, existing technology and know how to size industrial sensor and actuator systems AJ7
AJ8
 BJ1
BJ5
BJ16
 CJ1
CJ6
CJ7
Know the interconnection and integration technologies between sensors, actuators and equipment AJ7
AJ8
 BJ1
BJ2
BJ3
BJ4
BJ6
BJ13
BJ14
BJ15
 CJ1
CJ2
CJ3
CJ8
CJ9
CJ11

Contents
Topic Sub-topic
The contents described in the verification report are developed below according to the distribution shown Introduction to systems integration. (Topic 1)

Measurement and obtaining of variables in industrial environments. Choice and dimensioning of sensor systems. Select and size actuator system technologies. (Topic 2)

Design and development of interconnection and integration systems. (Topic 3)
Topic 1: Measurement and obtaining of variables in industrial environments IoT as a product of integration of industrial systems

Introduction to the IoT ecosystem
Topic 2: Choice and dimensioning of sensor and actuator systems IoT hardware: Architecture, sensors and actuators

IoT platforms
Topic 3: Design and development of interconnection and integration systems Developments with Arduino

Ethernet based on Industrial networks

Industrial Internet of Things (IIoT) and Industry 4.0

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A7 A8 B1 B5 B16 B6 C1 C6 C8 C9 9 13 22
Problem solving A7 A8 B2 B13 C1 C2 C3 3 14 17
Laboratory practice A7 A8 B1 B8 C1 C2 C3 C11 13 21 34
Mixed objective/subjective test A7 A8 B1 B3 B4 B15 B14 C7 1 0 1
 
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 Keynote speech complemented with the use of audiovisual media and the introduction of some questions to students, in order to transmit knowledge and facilitate learning.
The order of the topics covered will not have to be the one described in the teaching guide. In addition, there will be topics that can be seen together on the development of others, and the division between them may not be strict.
Problem solving Solving exercises and specific problems in the classroom, from the knowledge explained.
Laboratory practice Performing laboratory practice as far as possible; or, failing that, an individual work was carried out, along with the correction of the work of other colleagues. In addition, this work will have to be presented in class.
Mixed objective/subjective test It consists in carrying out an objective test of approximately 2 hours, in which the acquired knowledge will be evaluated.

Personalized attention
Methodologies
Problem solving
Laboratory practice
Description
The student has the relevant meetings of personalized tutorials, to resolve the concerns arising from the matter.

Assessment
Methodologies Competencies Description Qualification
Mixed objective/subjective test A7 A8 B1 B3 B4 B15 B14 C7 Exam with part of multiple choice, development questions and exercises 50
Problem solving A7 A8 B2 B13 C1 C2 C3 Resolution of a practical case 20
Laboratory practice A7 A8 B1 B8 C1 C2 C3 C11 Some tasks established in the subject, within the framework of this methodology 30
 
Assessment comments

As part of the "Laboratory practice" may include aspects such as attendance, attitude, etc., to help obtain the approved. In addition, it may also include in this methodology the assessment of the presentation in class of personal work.

The "Mixed Test" can be divided into a multiple choice part and a few questions.

It will be necessary to exceed 35% of the score in the  multiple choice of the "Mixed Test" to pass, as well as having passed the works collected within the "Problem solving" methodology.

For the second opportunity there will be no second deadline for delivery of works, and the evaluation related to "Problem solving" will be included in the "Mixed test".

The evaluation criteria for the early call in December will be the same as those for the second opportunity of the previous year.

Students with recognition of part-time dedication and academic waiver of attendance exemption, second establishes the "NORMA QUE REGULA O RÉXIME DE DEDICACIÓN AO ESTUDO DOS ESTUDANTES DE GRAO NA UDC (Arts. 2.3; 3.b e 4.5) (29/5/212)", will be evaluated in the same way, allowing one more week of margin in the assignments.

Sources of information
Basic Tom Wanyama (2016). A Practical Approach To Industrial Systems Integration. McMaster University, Hamilton
Perry Lea (2018). Internet of Things for Architects. Packet
(). Presentaciones del Profesor.

Complementary


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

To help achieve an immediate sustainable environment and meet the objective of action number 5: "Healthy and sustainable environmental and social teaching and research" of the "Green Campus Ferrol Action Plan":

1. The delivery of the documentary works that are made in this matter:

   1.1. They will be requested in virtual format and / or computer support

   1.2. They will be made through Moodle, in digital format without the need to print them


(*)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.