| Popis: |
The aeronautical manufacturing sector is currently involved in the 4th industrial revolution, namely Industry 4.0, improving manufacturing processes with the support of ICT. One of the objectives of this revolution is to be able to predict manufacturing defects that can have economic and operational impacts. In this work, we present a software platform that monitors and detects outliers in an industrial manufacturing process, close to real time, using scalable software tools. Our platform collects data from a machine, processes it and plots visualizations in a dashboard with the results. The IQR method is used to detect outliers in the manufacturing process. We validate our platform by monitoring an Ibarmia THR 16, a versatile machining centre, located at the Aeronautics Advanced Manufacturing Centre in Zamudio, Spain. We conduct a performance evaluation of our platform in several ways and present the results, highlighting bottlenecks such as the limits of the OPC-UA industrial communication protocol. |
