Description

Theory/Practice
1

Laboratory
3

Instructors

Carlos Felgueiras

Contents

P1. Automation for sustainability (15 hours)
P1.1 - Introduction and framework; concepts associated with automatic process control. Relationship with SDGs.
P1.2 - Sensors-Detectors. Physical principles, Signal conditioning, Transducers. Types of output signals;
P1.3 - Controller hardware
P1.4 - Description of control mechanisms
P1.5 - PID control elements.
P2 - Information Systems to support sustainability (15 hours)
P2.1 - Information systems modeling
P2.2 - Database management models
P2.3 - Relational model
P2.4 - SQL language
P3 - Wireless/wireless sensor networks (15 hours)
P3.1 - Introduction to sensor networks
P3.2 - Home sensor networks
P3.3 - Sensor network architecture
P3.4 - Sensor network applications
P3.5 - Communication
P4 - Internet of Things (IoT) (15 hours)
P4.1 - Protocols
P4.2 - Case studies

Learning Outcomes

Enable the student to use innovative technologies to support process improvement in an industrial environment, including the identification and analysis of alternatives in decision making.
After attending this course, the student will be able to:
O1- Understand and characterize the information and knowledge needs to support the efficient management of infrastructures and resources;
O2 - Understand the different stages of process modeling and their associated functions;
O3 - Analyze, understand and be able to use relevant technologies within the scope of the Industry 4.0 revolution;
O4 - Differentiate the various technologies that support advanced models of management of production processes and recognize forms of integration;
O5 - Interpret the new challenges of information and knowledge management in processes.