DIGITAL SHADOW SUPPORTED BY AUGMENTED REALITY AND CLOUD FOR THE MONITORING OF AN INDUSTRIAL PROCESS

The development of the new technological tools of the coming industrial revolution enables incorporating intelligent functions to traditional industrial systems; even though this demand increases discretely, it is important to promote the transition to this new industrial era. Therefore, this document describes an experimental study conducted for monitoring the distribution station of a MPS 500 modular production system, which for the project is set as physical twin, and the outcome of modeling it as digital shadow, synchronizing them by sending and receiving data to and from the cloud. For this purpose, once the station has been configured and programmed, a Raspberry Pi single-board computer was implemented to acquire the digital signals from the station sensors, and further process and send them to the cloud. For modeling the digital environment, it was replicated in the Blender software according to the area, length and diameter of the elements that constitute the station. At last, the synchronization between the environments and the visualization using augmented reality was obtained programming in Unity and Vuforia, respectively. The results obtained verified that the system matched to the supervision level of the automation pyramid, achieving a latency of 151.23 ms and fulfilling the general purpose of monitoring the station in real-time.