Book Image

Internet of Things for Smart Buildings

By : Harry G. Smeenk
5 (1)
Book Image

Internet of Things for Smart Buildings

5 (1)
By: Harry G. Smeenk

Overview of this book

Imagine working in a building with smart features and tenant applications that allow you to monitor, manage, and control every aspect of your user experience. Internet of Things for Smart Buildings is a comprehensive guide that will help you achieve that with smart building architecture, ecosystems, technologies, and key components that create a smart building. In this book, you’ll start by examining all the building systems and applications that can be automated with IoT devices. You’ll learn about different apps to improve efficiency, reduce consumption, and improve occupant satisfaction. You’ll explore IoT sensors, devices, computing platforms, analytics software, user interfaces, and connectivity options, along with common challenges you might encounter while developing the architecture. You’ll also discover how to piece different components together to develop smart buildings with the help of use cases and examples and get to grips with the various IoT stacks. After finding out where to start developing the requirements for your project, you’ll uncover a recommended methodology to understand your current building systems and a process for determining what needs to be modified, along with new technology requirements. By the end of the book, you’ll be able to design and build your own smart building initiative, turning your city into a smart city with one building at a time.
Table of Contents (22 chapters)
1
Part 1: Applications for Smart Buildings
7
Part 2: Smart Building Architecture
11
Part 3: Building Your Smart Building Stack
15
Part 4: Building Sustainability for Contribution to Smart Cities

Digital twin smart building challenges

While digital twin and 3D technology do exist, smart building adoption will continue to face challenges, and many building owners see it as daunting and out of reach. Other challenges include the following:

  • Expensive: Adopting digital twin use for smart buildings is very expensive. Owners and operators with large portfolios can spread that cost across their portfolio, while smaller companies can choose to pick smaller low-hanging fruit projects and stagger implementations.
  • Lack of standards: There is a lack of real-time, open, and quality data formats, due in part to the lack of industry standards.

RealEstateCore is a Swedish consortium of building owners, software firms, and research institutions that developed an open source ontology, using Microsoft Azure Digital Twins and its Digital Twins Definition Language (DTDL). An ontology is a shared data model (or set of models) and the best practice for a domain such as an IoT system...