Smart manufacturing: uma análise da tecnologia LIDAR para qualidade do produto na indústria automotiva

Abstract

The concept of Industry 4.0 first appeared in 2011, in an article published by the German government as a high-tech strategy for 2020. In recent years, this term has been widely discussed, referring to a complex and flexible system, which involves the digitization of manufacturing, engineering and automation technology. With this, the industry increasingly seeks to explore 'Smart Manufacturing', which is nothing more than the adoption of new technologies and manufacturing theories to help industries adapt to changes and raise product quality. Furthermore, after the third industrial revolution, the explosion of artificial intelligence (AI) and machine learning (ML) self learning algorithms laid a solid foundation for an increasingly connected industry. Using this solid foundation, the objective of the monograph is, based on the current state of the literature, to review and present the use of systems based on self learning (Artificial Intelligence/Machine Learning) in conjunction with the LIDAR (Light Detection and Ranging) sensor within the concepts proposed in Industry 4.0 and 'Smart Manufacturing'. Thus, in addition to being a basis for future work, this monograph presents as an opportunity and challenge, a new way of evaluating product quality in the manufacturing process of the automotive industry.