A micro-service-based machinery monitoring solution towards realizing the Industry 4.0 vision in a real environment

摘要

This work presents a modular Smart Maintenance Platform (SMP), which offers a toolbox of condition monitoring tools for the day-to-day inspection of the machinery equipment in a real industrial environment. SMP complements the manual inspection performed by the maintenance engineers with advanced data-analytics solutions that utilize both reactive and proactive techniques based on state-of-the-art machine learning proposals. Appropriate data acquisition mechanisms are built to acquire the sensorial data and transform them to suitable forms for data processing. Higher-level monitoring policies are enabled, through the fusion of multiple monitoring tasks increasing the precision of the results. The generated results are persisted for the continuous enhancement of the solution through the retraining of the proactive approach or the re-configuration of the reactive ones. The generated results are visualized in a user-friendly format, to help the maintenance engineers to assess the severity of the situation and to intervene in the machinery equipment if deemed necessary.