Название: Electronics in Advanced Research Industries
Автор: Alessandro Massaro
Издательство: John Wiley & Sons Limited
Жанр: Техническая литература
isbn: 9781119716891
isbn:
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Electronics in Advanced Research Industries
Industry 4.0 to Industry 5.0 Advances
Alessandro Massaro
This edition first published 2022
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Library of Congress Cataloging‐in‐Publication Data
Names: Massaro, Alessandro, 1974– author.
Title: Electronics in advanced research industries : industry 4.0 to industry 5.0 advances / Alessandro Massaro, Dyrecta Lab, Research Institute, Conversano (Ba), Italy.
Description: Hoboken, NJ, USA : Wiley, 2022. | Includes bibliographical references and index.
Identifiers: LCCN 2021028944 (print) | LCCN 2021028945 (ebook) | ISBN 9781119716877 (hardback) | ISBN 9781119716884 (adobe pdf) | ISBN 9781119716891 (epub)
Subjects: LCSH: Industry 4.0. | Automation.
Classification: LCC T59.6 .M37 2022 (print) | LCC T59.6 (ebook) | DDC 658.4/038028563–dc23
LC record available at https://lccn.loc.gov/2021028944 LC ebook record available at https://lccn.loc.gov/2021028945
Cover Design: Wiley
Cover Image: © raigvi/Shutterstock
To my family: Magda, Andrea, Adriano, and Peggy
Preface
Modern technologies in production systems open new approaches and concepts of industrial production. The digital Industry 4.0 upgrade provides new elements to control and manage production in all industry sectors. This upgrade allows to improve product quality, and in general the whole supply chain. The new digital technologies include hardware and software tools integrated in infrastructure oriented on the gain of digital knowledge. The fast dynamicity of the markets, the increase of the global competition between companies, and the unpredictable social and health events, imposes the need to think of a new concept of a production system based on full automatisms and self‐adaptive processes, predicting production failures and product defects. In this context, the Industry 4.0 facilities can be furthermore upscaled to an intelligent control and actuation system of the production, characterizing the new Industry 5.0 scenario. The new facilities which contribute to Industry 5.0 passage are mainly based on artificial intelligence (AI) implementations in production and information systems, accomplishing predictive maintenance, failure prediction, defect classification, efficient robotic control and actuation, design optimization, testing improvements, and in general technological advances due to the possibility to quickly process data in each production stage. This book analyzes innovative production approaches, and the integration aspects of the AI in different industrial digital technologies, by enhancing specific functionalities. In innovative production systems, AI is fully integrated in information systems and covers cybersecurity, quality processes, business intelligence and intelligent production management. The innovative production is also related to new services associated with the introduction in the market of new technologies such as for the telemedicine sector, and in general for industrial diagnostics, where AI is also adopted for the improvement of inspection services. The main advantage of AI is the self‐learning of the algorithms able to learn automatically from the same production data of companies. In an industrial upgrade, the implementation of sensor control and actuation based on intelligent feedback systems is especially important. In this scenario, AI algorithms can accomplish robotic movement, by automatically optimizing the machine parameter setting, by means of image and data processing. The correct use of AI is mainly based on the formulation of the algorithm, and on the dataset adopted to learn the related model. For each application there is an associated AI learning dataset which can be improved by big data systems. In particular, image processing and image segmentation approaches can be improved by AI, enhancing hidden information СКАЧАТЬ