Digitalization process of test bench for automotive components

Abstract

This work covers creating data pipelines for digitizing sensors on test benches. The developed and applied pipeline covers data acquisition, transformation, analysis and storage. Acquisition techniques, including hardware compatibility with sensors and realtime monitoring systems, are discussed in this work. The transformation stage involves standardization and integration of data formats. Analysis methods are discussed to extract relevant information. Secure storage and making results available on dashboards are topics mentioned in this work as well. Implementing a data pipeline brings benefits such as efficiency, cost reduction and informed decision making. This work aims to demonstrate the decisionmaking adopted to implement two different data pipeline models in the same product testing laboratory so that it was possible to apply at least one of the two solutions for each piece of equipment.