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

Data analytics

Data Analytics (DA) is the process of analyzing data collected from IoT devices using specific analytic tools and techniques. The intent is to turn large amounts of unstructured data into valuable and actionable information to make sound business decisions. This includes identifying trends and patterns from historical and current data, which is then used to make predictions and adjustments. IoT DA is now being used in every industry, including smart buildings, and is considered a subset of big data analytics.

Figure 5.3 – DA types

Figure 5.3 – DA types

Collecting data and performing IoT analytics can be broken down into the following types of analytics:

  • Streaming analytics: Real-time data streams are analyzed to detect any urgent situations that may require immediate action. Also referred to as event stream processing, IoT building applications include water, gas, fluid leak detection, air quality monitoring, fire and smoke systems, and secure...