iDIGIT4L. Nuevos ecosistemas de digitalizaci\'on y aprendizaje hombre-m\'aquina para sistemas de fabricaci\'on industrial heredados

TL;DR

The paper presents the iDIGIT4L project, which develops a digitization ecosystem with a digital twin and a three-tier human-machine learning approach to enhance industrial processes and worker skills in traditional manufacturing environments.

Contribution

It introduces a novel three-tier human-machine learning methodology and a non-intrusive digital twin for transforming legacy manufacturing systems in Industry 4.0.

Findings

Successful implementation of a digital twin for an old milling machine.

Simultaneous system functionality and worker skill enhancement.

Enhanced human-machine interaction in traditional manufacturing.

Abstract

The digitization of the productive ecosystem related to human-machine interaction has become a priority for small and medium-sized enterprises. Particularly to face the challenges of Industry 4.0 and advanced digital skills in the workplace. From the research point of view, digitization opens a global scenario for the generation of opportunities for learning in existing manufacturing systems. Mainly, traditional environments must deal with competitive pressures to incorporate new technologies and adapt the skills of workers. In this paper is presented the iDIGIT4L project, which was envisaged to research and develop a digitization ecosystem where people and systems interact in order to transform industrial processes in an intelligent and predictive way. The project contributes with a three-tier human-machine learning methodology that provides augmented and bi-directional interaction in a traditional manufacturing scenario. It is based on the implementation of a non-intrusively integrated digital twin, characterizing an old industrial milling machine for learning through knowledge models supported by the experience of skilled workers. As a result, it has been possible to simultaneously update the functionalities of the industrial system and the digital skills of the workers, becoming an integral part of the digital twin.