Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0

Giacomo Veneri, Antonio Capasso

  • 出版商: Packt Publishing
  • 出版日期: 2018-11-29
  • 售價: $1,970
  • 貴賓價: 9.5$1,872
  • 語言: 英文
  • 頁數: 556
  • 裝訂: Paperback
  • ISBN: 1789537223
  • ISBN-13: 9781789537222
  • 相關分類: 物聯網 IoT
  • 海外代購書籍(需單獨結帳)

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商品描述

Build a strong and efficient IoT infrastructure at industrial and enterprise level by mastering Industrial IoT network

Key Features

  • Gain hands-on experience working with industrial architecture
  • Explore the potential of cloud-based Industrial IoT platforms, analytics, and protocols
  • Improve business models and transform your workforce with Industry 4.0

Book Description

We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).

Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.

As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.

By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.

What you will learn

  • Explore industrial processes, devices, and protocols
  • Design and implement the I-IoT network flow
  • Gather and transfer industrial data in a secure way
  • Get to grips with popular cloud-based platforms
  • Understand diagnostic analytics to answer critical workforce questions
  • Discover the Edge device and understand Edge and Fog computing
  • Implement equipment and process management to achieve business-specific goals

Who this book is for

If you're an IoT architect, developer, or stakeholder working with architectural aspects of Industrial Internet of Things, this book is for you.

Table of Contents

  1. Introduction to Industrial IOT
  2. Understanding the Industrial IOT Process
  3. Industrial Data Flow and Devices
  4. Implementing Data Collection & Industrial IOT Gateway
  5. Applying Cyber Security
  6. Performing Industrial Protocols & Standards' exercise
  7. Developing Industrial IOT and Cloud Architecture
  8. Understanding Industrial OEM Cloud
  9. Implementing a Legacy Industrial IOT platform
  10. Implementing a Cloud I-IoT Solution with AWS IoT
  11. Implementing a Cloud I-IoT Solution with Google Cloud IoT
  12. Implementing a Practical I-IoT Solution with Azure IoT�
  13. Performing Diagnostic, Maintenance and Predictive Analytics
  14. Implementing a Digital Twin: Advanced Analytics
  15. Performing an Analytics' Exercise

商品描述(中文翻譯)

建立強大且高效的工業及企業級 IoT 基礎設施,掌握工業物聯網網路

主要特點
- 獲得與工業架構實作的實務經驗
- 探索基於雲端的工業物聯網平台、分析及協議的潛力
- 改進商業模式,並透過工業 4.0 轉型您的勞動力

書籍描述
我們生活在一個利用先進自動化來達成精確結果的時代。要建立自動化環境,您首先需要配置一個可以隨時隨地由任何設備訪問的網路。本書是一本實用指南,幫助您發現工業物聯網 (IIOT) 的技術和應用案例。

《實作工業物聯網》將帶您了解工業流程及專用控制設備和協議的實施。您將學習識別和連接來自不同感測器的各種工業數據來源的過程。此外,您將能夠將這些感測器連接到雲端網路,如 AWS IoT、Azure IoT、Google IoT 和 OEM IoT 平台,並從雲端提取數據到您的設備。

隨著您逐步深入各章節,您將獲得使用開源的 Node-Red、Kafka、Cassandra 和 Python 的實務經驗。您還將學習如何開發基於流和批次的機器學習算法。

在本書結束時,您將掌握工業 4.0 的特性,並能夠在您的行業中建立更強大、更快速且更可靠的 IoT 基礎設施。

您將學到的內容
- 探索工業流程、設備和協議
- 設計和實施 I-IoT 網路流
- 以安全的方式收集和傳輸工業數據
- 熟悉流行的雲端平台
- 理解診斷分析以回答關鍵的勞動力問題
- 發現邊緣設備並理解邊緣計算和霧計算
- 實施設備和流程管理以達成特定的商業目標

本書適合誰
如果您是 IoT 架構師、開發人員或與工業物聯網架構相關的利益相關者,本書適合您。

目錄
1. 工業物聯網簡介
2. 理解工業物聯網流程
3. 工業數據流和設備
4. 實施數據收集與工業物聯網閘道
5. 應用網路安全
6. 執行工業協議與標準的練習
7. 開發工業物聯網和雲端架構
8. 理解工業 OEM 雲端
9. 實施傳統工業物聯網平台
10. 使用 AWS IoT 實施雲端 I-IoT 解決方案
11. 使用 Google Cloud IoT 實施雲端 I-IoT 解決方案
12. 使用 Azure IoT 實施實用的 I-IoT 解決方案
13. 執行診斷、維護和預測分析
14. 實施數位雙胞胎:進階分析
15. 執行分析練習