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  • Book Overview & Buying Internet of Things for Smart Buildings
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Internet of Things for Smart Buildings

Internet of Things for Smart Buildings

By : Harry G. Smeenk
5 (6)
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Internet of Things for Smart Buildings

Internet of Things for Smart Buildings

5 (6)
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)
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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 management

In Chapter 5, Tenant Services and Smart Building Amenities, we described data analytics as the process of analyzing data collected from IoT devices using specific analytic tools and techniques. We reviewed the different types of analytics and provided examples of how data analytics can be implemented in buildings.

Building data traditionally has been collected and stored in system silos, which makes it difficult to analyze and manage. The goal of a smart building is to provide a holistic view of the entire building’s operation, and therefore, this data needs to be integrated to provide an exchange of information. To achieve this, massive amounts of data need to be ingested and processed, a task that is too large and complex for traditional database systems.

Big Building Data (BB Data) is a dedicated big data system for processing, sharing, and storing all a building’s data. Input is collected from different sensors using a common method and language...

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