Hands-On Industrial Internet of Things - Second Edition: Build robust industrial IoT infrastructure by using the cloud and artificial intelligence
暫譯: 實作工業物聯網(第二版):利用雲端和人工智慧構建穩健的工業 IoT 基礎設施

Veneri, Giacomo, Capasso, Antonio

  • 出版商: Packt Publishing
  • 出版日期: 2024-11-15
  • 售價: $1,760
  • 貴賓價: 9.5$1,672
  • 語言: 英文
  • 頁數: 530
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1835887465
  • ISBN-13: 9781835887462
  • 相關分類: 人工智慧物聯網 IoT
  • 海外代購書籍(需單獨結帳)

商品描述

Build scalable, secure, and intelligent systems by utilizing IoT architectures, AWS, Azure, AI, and real-world solutions to become a skilled IIoT architect

Key Features:

- Leverage IoT, AI/ML, and cloud technologies to unlock industrial potential and drive business innovation

- Work with labs on real-world edge computing scenarios, integrating AWS, Azure, and open source tools

- Use diagnostic and predictive analytics to develop digital twins, improve industrial processes, and manage assets

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

In today's automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks.

Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You'll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You'll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you'll develop streaming and batch-based AI algorithms.

By the end of this book, you'll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.

What You Will Learn:

- Get a solid understanding of industrial processes, devices, and protocols

- Harness IoT technology to effectively manage industrial use cases

- Design and implement an IIoT network flow to continuously monitor the performance of your critical assets

- Get to grips with popular cloud-based platforms such as AWS and Azure

- Explore Edge devices and learn about Edge and fog computing to gather field data

- Apply diagnostic analytics to real-world data to answer critical workforce questions

- Develop AIoT technology for predictive maintenance

Who this book is for:

If you are an IoT architect, developer, AI engineer, or stakeholder involved in designing the architecture systems of the Industrial Internet of Things, this book is for you. The only prerequisite needed is a solid understanding of the Python programming language and networking concepts.

Table of Contents

- Introduction to Industrial IOT

- Understanding the Industrial Process and Devices

- Industrial Data Flow and Devices

- Implementing the Industrial IoT Data Flow

- Applying Cybersecurity

- Performing an Exercise Based on Industrial Protocols and Standards

- Developing Industrial IoT and Architecture

- Implementing a Custom Industrial IoT Platform

- Building an AWS Industrial IOT Solution

- Implementing an Industrial IOT Data Flow with AWS

- Performing a Practical Industrial IoT Solution with Azure

- Implementing an Industrial IoT Data Flow with Azure

- Performing Diagnostic, Maintenance, and Predictive Analytics

- Implementing a Digital Twin - Advanced Analytics

- Deploying an Analytics Model

商品描述(中文翻譯)

建構可擴展、安全且智能的系統,利用物聯網架構、AWS、Azure、人工智慧及實際解決方案,成為一名熟練的工業物聯網(IIoT)架構師

主要特點:
- 利用物聯網、人工智慧/機器學習及雲端技術,釋放工業潛力並推動商業創新
- 與實驗室合作,處理實際的邊緣計算場景,整合AWS、Azure及開源工具
- 使用診斷和預測分析來開發數位雙胞胎,改善工業流程並管理資產
- 購買印刷版或Kindle書籍可獲得免費PDF電子書

書籍描述:
在當今自動化驅動的時代,精確性至關重要,而工業物聯網(IIoT)已經產生了顯著的影響。本書的更新第二版探討了推動IIoT革命的技術,並分享了建立遠端訪問網絡所需的基本知識。

本書由IIoT和人工智慧專家以及知名作者撰寫,幫助您通過介紹來自Azure和AWS的新技術來提升您在新興技術方面的技能,並讓您隨時掌握最新進展。您將了解物聯網人工智慧(AIoT)和MLOps如何應用於IIoT,並學會如何自信地處理複雜的專案。本書涵蓋了從各種感測器識別和連接工業數據來源,從基礎概念進階到專業技能。您將發現如何將這些感測器連接到AWS IoT、Azure IoT及開源物聯網平台的雲端網絡,並從雲端提取數據到您的設備。通過使用Node-RED、OPC UA、MQTT、NoSQL、深度防禦和Python等工具的實踐經驗,您將開發流式和批量的AI算法。

在本書結束時,您將在雲端、物聯網和人工智慧方面達到專業水平,並能為您的行業建構更強大、高效和可靠的物聯網基礎設施。

您將學到的內容:
- 深入了解工業流程、設備和協議
- 利用物聯網技術有效管理工業用例
- 設計和實施IIoT網絡流,以持續監控關鍵資產的性能
- 熟悉AWS和Azure等流行的雲端平台
- 探索邊緣設備,了解邊緣計算和霧計算以收集現場數據
- 將診斷分析應用於實際數據,以回答關鍵的勞動力問題
- 開發用於預測性維護的AIoT技術

本書適合對象:
如果您是物聯網架構師、開發人員、人工智慧工程師或參與設計工業物聯網架構系統的利益相關者,本書適合您。唯一的先決條件是對Python程式語言和網絡概念有扎實的理解。

目錄:
- 工業物聯網簡介
- 理解工業流程和設備
- 工業數據流和設備
- 實施工業物聯網數據流
- 應用網絡安全
- 根據工業協議和標準進行練習
- 開發工業物聯網和架構
- 實施自定義工業物聯網平台
- 建構AWS工業物聯網解決方案
- 使用AWS實施工業物聯網數據流
- 使用Azure進行實際工業物聯網解決方案
- 使用Azure實施工業物聯網數據流
- 進行診斷、維護和預測分析
- 實施數位雙胞胎 - 進階分析
- 部署分析模型