Hands-on industrial internet of things [electronic book] : build robust industrial IoT infrastructure by using the cloud and artificial intelligence / Giacomo Veneri and Antonio Capasso.
By: Veneri, Giacomo [author.]
.
Contributor(s): Capasso, Antonio [author.].
Material type: 
BookPublisher: Birmingham, England : Packt Publishing Ltd., [2024]Copyright date: ©2024Edition: Second edition.Description: 1 online resource (530 pages) : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781835887479.Subject(s): Business enterprises -- Computer networks -- Management | Internet of thingsAdditional physical formats: Print version: Hands-on industrial internet of things : build robust industrial IoT infrastructure by using the cloud and artificial intelligence DDC classification: 004.068 Online resources: Access eBook Also available in print form.| Item type | Current library | Call number | Status | Notes | |
|---|---|---|---|---|---|
| eBook | MTU Online eBook | 004.068 (Browse shelf(Opens below)) | Available | Kerry Module FACL81004 |
Enhanced descriptions from Syndetics:
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 forIf 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.
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.
Also available in print form.
Electronic reproduction: ProQuest LibCentral. Mode of Access: World Wide Web
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Author notes provided by Syndetics
Veneri Giacomo :Giacomo Veneri was born in Siena, Italy, in 1973. He is an expert in data processing and industrial internet of things (IIoT). Working actively as an AI and IoT manager, he is the author of several books and scientific articles. He graduated from the University of Siena with a degree in computer science in 1999 and graduated in 2014 with a PhD in neuroscience and neural computation. He has achieved more than 10 certifications in programming, AI, and the cloud. Today, Giacomo is an AI director.Capasso Antonio :
Antonio Capasso graduated from the University of Naples with a degree in computer automation in 1999 and a degree in computer science in 2003. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing IIoT infrastructure. He currently lives in Tuscany, where he enjoys trekking and swimming.