The course The Fundamentals of a Smart Building offers you the opportunity to enter a booming sector, where automation and artificial intelligence are transforming the way in which we interact with our built environment. With growing demand in the labour market, gaining knowledge in this field puts you at the forefront of technological innovation. You will learn to create smart scenarios using advanced technology, to manage control centres by integrating information, and to to utilise this information for automation and monitoring energy efficiency in buildings. What’s more, you’ll delve into the fascinating world of predictability, applying artificial intelligence to anticipate and optimise how a Smart Building works. This course is ideal for those who wish to lead the transition towards a smarter and more sustainable future, equipping you with valuable and highly sought-after skills in the current market.
The Fundamentals of a Smart Building
Architecture, construction and urban planning
40 hours
Introduction
Objectives
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Understanding the concept of Smart Building and its application in modern environments.
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Identify key technologies for creating smart scenarios in buildings.
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To analyse the operation from a control centre in a Smart Building.
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Integrate the data collected to optimise the building management.
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Apply techniques for automation to improve the building’s energy efficiency.
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Monitor building systems to ensure they function correctly.
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Explore the use of artificial intelligence to predict the building’s requirements.
Table of Contents
TEACHING UNIT 1. THE CONCEPT OF SMART BUILDINGS: CREATING SMART SCENARIOS BASED ON TECHNOLOGY
Objectives of a Smart Building
Stakeholders and skills
Three main categories of common systems: power, safety and auxiliary systems
Systems tailored to the building’s use
The need for standardisation. UNE standards
TEACHING UNIT 2. BUILDING CONTROL CENTRE: DATA ACQUISITION AND INTEGRATION
People and asset tracking systems. Customisation of services
Technological options relating to localisation
IoT sensors: monitoring what is happening in the building
Information processing to generate intelligent scenarios
Implementation of the Control Centre
TEACHING UNIT 3. INFORMATION MANAGEMENT. BUILDING AUTOMATION AND MONITORING
Building automation
Smart Building Mobile App
Unified Control Portal
Simulation. Digital Twin
Smart Building Monitoring and Root Cause Analysis
TEACHING UNIT 4. PREDICTABILITY. ARTIFICIAL INTELLIGENCE IN SMART BUILDINGS
Machine learning as the basis for predictability
How to implement a machine learning project within a building
Predictive building infrastructure maintenance
Predictive Facility Management Services
Other Artificial Intelligence techniques used in smart buildings: Biometric systems, natural language processing and robotics