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

Use case – energy reduction at an Australian shopping mall

A leading investor in the Asia-Pacific region has built their portfolio of buildings with a heavy focus on environmental, ecological, and sustainable goals. Their latest project involved finding ways to reduce carbon emissions and eliminate unnecessary operating costs at their 215,800-square-foot shopping mall in Australia. Of course, they also wanted to improve the visitor experience.

BrainBox AI, a Montreal-based company, was brought in to use their predictive and self-adapting AI algorithms to optimize the HVAC system. They developed a custom driver for the Tridium (a leading IoT software provider) Niagara Framework to connect to the HVAC system. Using custom-curated algorithms, AI, and cloud computing, they were able to pull down a few weeks of actual data from the system.

After an AI learning period, building analysis, and data mapping activities, BrainBox AI developed a unique strategy for the building. They...