Abstract
Industry 4.0 is a synonym for the confluence of technologies that allows the integration of information technology, data science, and automated equipment, to produce smart industrial systems. The process of inserting new technologies into current conventional environments involves a wide range of disciplines and approaches. This article presents the process that was followed to identify and upgrade one station in an industrial workshop to make it compatible with the more extensive system as it evolves into the Industry 4.0 environment. An information processing kit was developed to upgrade the equipment from an automated machine to an Industry 4.0 station. The kit includes a structure to support the sensor and the data processing unit; this unit consisted of a minicomputer that records the data, graded the performance of the components, and sent the data to the cloud for storage, reporting, and further analysis. The information processing kit allowed the monitoring of the inspection system and improved the quality and speed of the inspection process.
Highlights
The term Industry 4.0 was coined to represent the latest stage in the evolution of industrial development, which has gone from the introduction of powered machines (1.0), through mass production (2.0), to computer-based automation (3.0) [1]
The root mean square (RMS) value is a measure of the energy of the signal, which is affected by factors such as ambient noise and location of the microphone
This article presented the procedure that was followed for the design and implementation of an information processing kit that upgrades a conventional machine and allows it to be integrated into an Industry 4.0 environment
Summary
The term Industry 4.0 was coined to represent the latest stage in the evolution of industrial development, which has gone from the introduction of powered machines (1.0), through mass production (2.0), to computer-based automation (3.0) [1]. The task of configuring a system for the new industrial ecosystems is complex and full of risks given the investments that accompany the new systems, as well as the lack of understanding of what new capabilities are needed at any stage of the evolution. One example of this is the management of Big Data in the manufacturing shop floor [5]. The design of new facilities presents challenges, in terms of the selection of alternatives that make the best use of new technologies [6]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
