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

Monetization opportunities

While cost optimization is a primary driver for the use of digital twins, value-added services and operational efficiencies are key to monetization. Let’s take a more detailed look at some digital twin use examples in the building operations and management area:

  • Monitoring: Dynamic or intelligent condition monitoring is not new; however, the existing solutions are inefficient, produce inaccurate data, and do not deliver data fast enough for a quick response during fast-changing events. That’s because these systems typically use historical and static data that lags behind the current data and does not represent the current state.

Digital twin models work with data that is being collected in real time from sensors, detectors, fixtures, and other systems located in a building. Because the digital twin is constantly fed real-time information, it can mirror exact conditions on site and respond with immediate actions, such as when a...