Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Design of the technological infrastructure for data acquisition of an in-line measuring Industry 4.0 compatible machine(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-11) Castro Martín, Ana Pamela; Ahuett-Garza, Horacio; Kurfess, Thomas R.; Urbina Coronado, Pedro Daniel; Orta Castañon, PedroIndustry trends call for a change and adaptation of systems to be capable of connecting with their surroundings such as other machines, computers or smartphones. The automotive industry is continuously looking for improving its processes. An objective of the automotive industry is to start implementing new trends in industry 4.0. The present work develops a technological infrastructure for data acquisition of an in-line measurement system that is being used by a manufacturer of automotive parts. The measurement system inspects the quality of die-casting parts. In this work, the theoretical concept of Industry 4.0 is implemented in an industrial machine. This work deals with the design of a monitoring system for big data in two levels. First to monitor the quality of the workpieces, and second to monitor the online measuring machine. An architecture for IoT is implemented in the development of the monitoring system, and three subsystems: Collecting Subsystem, Processing and Transmission Subsystem; and Management and Utilization Subsystem. After building the architecture proposed, data is accessible by engineering staff for analyzing and operating conditions are available for study. The architecture for connecting the machine to the Internet was successfully implemented on the measuring machine. Industry trends call for a change and adaptation of systems to be capable of connecting with their surroundings such as other machines, computers or smartphones. The automotive industry is continuously looking for improving its processes. An objective of the automotive industry is to start implementing new trends in industry 4.0. The present work develops a technological infrastructure for data acquisition of an in-line measurement system that is being used by a manufacturer of automotive parts. The measurement system inspects the quality of die-casting parts. In this work, the theoretical concept of Industry 4.0 is implemented in an industrial machine. This work deals with the design of a monitoring system for big data in two levels. First to monitor the quality of the workpieces, and second to monitor the online measuring machine. An architecture for IoT is implemented in the development of the monitoring system, and three subsystems: Collecting Subsystem, Processing and Transmission Subsystem; and Management and Utilization Subsystem. After building the architecture proposed, data is accessible by engineering staff for analyzing and operating conditions are available for study. The architecture for connecting the machine to the Internet was successfully implemented on the measuring machine.