Visual Analytics Framework for Condition Monitoring in Cyber-Physical Systems

Abstract

One of the biggest challenges facing the factory of the future today is to reduce the time-to-market access and increase through the improvement of competitiveness and efficiency. In order to achieve this target, data analytics in Industrial Cyber-Physical System becomes a feasible option. In this paper, a visual analytics framework for condition monitoring of the machine tool is presented with the aim to manage events and alarms at factory level. The framework is assessed in a particular use case that consists in a multi-threaded cloud-based solution for the global analysis of the behaviour of variables acquired from PLC, CNC and robot manipulator. A human-machine interface is also designed for the real-time visualization of the key performance indicators according to the user's criteria. This tool implemented is a great solution for condition monitoring and decision-making process based on data analytics from simple statistics to complex machine learning methods. The results achieved are part of the vision and implementation of the industrial test bed of “Industry and Society 5.0” platform.