eBook - ePub
Buildings and Semantics
Data Models and Web Technologies for the Built Environment
Pieter Pauwels, Kris McGlinn, Pieter Pauwels, Kris McGlinn
This is a test
Share book
- 300 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Buildings and Semantics
Data Models and Web Technologies for the Built Environment
Pieter Pauwels, Kris McGlinn, Pieter Pauwels, Kris McGlinn
Book details
Book preview
Table of contents
Citations
About This Book
The built environment has been digitizing rapidly and is now transforming into a physical world that is at all times supplemented by a fully web-supported and interconnected digital version, often referred to as Digital Twin. This book shows how diverse data models and web technologies can be created and used for the built environment. Key features of this book are its technical nature and technical detail. The first part of the book highlights a large diversity of IT techniques and their use in the AEC domain, from JSON to XML to EXPRESS to RDF/OWL, for modelling geometry, products, properties, sensor and energy data. The second part of the book focuses on diverse software solutions and approaches, including digital twins, federated data storage on the web, IoT, cloud computing, and smart cities. Key research and strategic development opportunities are comprehensively discussed for distributed web-based building data management, IoT integration and cloud computing. This book aims to serve as a guide and reference for experts and professionals in AEC computing and digital construction including Master's students, PhD researchers, and junior to senior IT-oriented AEC professionals.
Frequently asked questions
How do I cancel my subscription?
Can/how do I download books?
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
What is the difference between the pricing plans?
Both plans give you full access to the library and all of Perlegoās features. The only differences are the price and subscription period: With the annual plan youāll save around 30% compared to 12 months on the monthly plan.
What is Perlego?
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, weāve got you covered! Learn more here.
Do you support text-to-speech?
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Is Buildings and Semantics an online PDF/ePUB?
Yes, you can access Buildings and Semantics by Pieter Pauwels, Kris McGlinn, Pieter Pauwels, Kris McGlinn in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Ingegneria edile. We have over one million books available in our catalogue for you to explore.
Information
Part I Semantics and data
Chapter 1 Building product models, terminologies, and object type libraries
Aaron Costin, Jeffrey W. Ouellette, and Jakob Beetz
DOI: 10.1201/9781003204381-2
CONTENTS
- 1.1 Introduction
- 1.1.1 A brief history of
CAD/ BIM - 1.1.2 Tackling
CAD/ BIM data exchange - 1.1.3 Seamless data exchange: the endemic problem
- 1.1.1 A brief history of
- 1.2 Concepts and definitions
- 1.2.1 Chapter definitions
- 1.3 Structured vocabularies
- 1.3.1 Structured vocabulary types
- 1.3.1.1 Classification systems
- 1.3.1.2 Taxonomy
- 1.3.1.3 Ontology
- 1.3.1.4 Data dictionary
- 1.3.1.5 Object-type library
- 1.3.2 Functionality and features
- 1.3.2.1 Object-oriented functionality
- 1.3.2.2 Semantics and logic
- 1.3.1 Structured vocabulary types
- 1.4 Digital building exchange formats and schemas
- 1.4.1 Semantic web and linked data
- 1.4.1.1 Resource description framework (
RDF) - 1.4.1.2 Web ontology language (
OWL) - 1.4.1.3 Simple knowledge organisation system (
SKOS)
- 1.4.1.1 Resource description framework (
- 1.4.2
ISOs for building classifications
- 1.4.1 Semantic web and linked data
- 1.5 Methods and techniques
- 1.5.1 Product and solid modelling techniques
- 1.5.2 Information collection mechanisms
- 1.5.3 Development and management
- 1.6 Practical examples in the
AECO industry - 1.6.1 Core vocabularies and linked datasets
- 1.6.2 Existing
AECO ontologies - 1.6.3 Existing
OTLs and data dictionaries
- 1.7 Open research challenges
- 1.7.1 System limitations
- 1.7.2 Open standard limitations
- 1.8 Conclusion
- Notes
The built environment consists of a wide variety of digital representations of physical products and building elements. These product models have enabled new and efficient digitised methods for the architecture, engineering, construction, and operations (AECO) industry to design, construct, and operate a facility. As a result, product modelling is a key competence for anyone operating with assets in the built environment. In this first chapter of the book, we provide an overview of the way in which product modelling is performed in the AECO industry. Importantly, we hereby distinguish between product modelling in the AECO industry for (1) the design and construction of buildings, which typically needs to support continuous updates between a wide variety of stakeholders; and (2) the operational phase of buildings, in which product data is needed for operations and maintenance (O&M) over long spans of time (facility and asset management). We present the current concepts, methods, and tools required to understand the rest of the chapters of this book.
1.1 Introduction
The architecture, engineering, construction, and operations (AECO) industry has seen great advancements in technology, both in hardware and software, used in various tasks required during the life cycle of a project, from design to delivery and through its operational life span. Artificial intelligence (AI) and machine learning (ML), virtual and augmented realities (VR & AR), and computational design methodologies are striving to make the delivery faster and safer, as well as more economically and environmentally sustainable. Primary methods and technologies include Computer-Aided Design (CAD) or Computer-Aided Design and Drafting (CADD) and Building Information Modelling (BIM), which enable a wide variety of digital representations of physical products and building elements, sometimes referred to as building product models. A building product model is a digital information structure of objects making up a building, capturing the form, behavior and relations of the parts and assemblies within the building [115].
As one of the pioneers in BIM, Charles āChuckā Eastman envisioned computers being able to capture more than just the details of typical 2D design drawings but also 3D geometry and spatial information analogous to a real, physical construct, being further manipulated to allow a wide range of views. These views would enable a multitude of digitally-based workflows for design, construction, and operational analysis. This early vision has come into reality, and we are currently witnessing further digital advancements with integrating real-time sensors into buildings and connecting them to BIM-based views, effectively creating a dynamic virtual representation of the physical elements of a building, also known as a Digital Twin (DT).
It is important to note that processes and requirements in the design and construction phases of the building life cycle are different from those in the operations phase. Thus, we hereby distinguish between product modelling in the AECO industry for (1) the design and construction of buildings (AEC), which typically needs to support continuous updates between a wide variety of stakeholders; and (2) the operational phase (O) of buildings, in which product data is needed for maintenance operations over long span of time (facility and asset management). This chapter provides an overview of the concepts, methods, and tools needed to create and utilise building product models for the design and construction of a building. The information is presented through the perspective of product modelling, which includes structured vocabularies, object-type libraries (OTLs), and data exchange.
1.1.1 A brief history of CAD/BIM
The idea of using computers to digitise the design and manufacturing of products began in the 1950s during the early days of computing. In 1957, Pronto was the first commercial computer-aided manufacturing (CAM) software, developed only a few years after the first automated robots were used in assembly lines. Soon, this use was extended to computer-aided design (CAD), a term coined by Douglas T. Ross around 1959 at Massachusetts Institute of Technology (MIT), as part of the earliest stages of what ultimately became the MIT Computer-Aided Design Project [80]. This concept for object-based design and parametric manipulation was published in Douglas C. Englebartās 1962 paper Augmenting Human Intellect [120]. Cognitive design was also a popular topic of research for architecture, thus the combination of the two seemed destined. In 1963, Ivan Sutherlandās SketchPad (a.k.a. Robot Draftsman) was a breakthrough CAD program to show the benefits of using computer graphics for designing.
From his 1975 article, The Use of Computers Instead of Drawings in Building Design, Eastman writes:
A building can be conceived, though, as a collection of three-dimensional elements arranged in space... A detailed building representation might be provided by a computer, if it could s...