Читать книгу Industrial Internet of Things (IIoT). Intelligent Analytics for Predictive Maintenance онлайн
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Library of Congress Cataloging-in-Publication Data
ISBN 978-1-119-76877-7
Cover image: Pixabay.Com Cover design by Russell Richardson
Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines
Printed in the USA
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Preface
It is with immense pleasure that we introduce this book on intelligent analytics for predictive maintenance through the industrial internet of things (IIoT), with the objective of fostering advancements and disseminating results concerning recent applications in the field.
Since the internet of things (IoT) dominates all sectors of technology, from home to industries, automation through IoT devices is remarkably changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach 73.5 billion US dollars by 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. Therefore, every smart entrepreneur undoubtedly has the vision of automating office processes to match the latest technological innovations. However, it is not so easy to use these same innovations to automate industrial processes. Which is why the IIoT, a key element of a smart factory, was created to bring together modern cloud computing, the IoT, and AI to design intelligent, self-optimizing industrial equipment and facilities.