Digital twins in the industry

Abstract

Digital Twins (DG) is a software technology that tries to digitally represent a physical reality, be it a product, process or system; using technological resources as allies such as: Big Data, IoT, Artificial Intelligence, Cloud Computing and Machine Learning, among others, in order to provide tools for decision making, additionally implementing simulation and prediction capabilities. The object of the research in this work aims to review the academic scientific bibliography available through the use of the Internet, and in turn, of certain databases and specialized search engines, in order to describe and expose the contribution and progress of the use of digital twins in the industry, in such a way that some basic concepts about digital twins, their origin, evolution, utilities (advantages) and technological barriers or limitations for their application are projected theoretically. By way of conclusion, it is indicated that, despite the fact that it represents a relatively recent advance, experts assure that it has had a rapid evolution and application in various types of industry; whose purpose of creation is not to achieve the culmination of the entity or virtual replica itself, but rather the benefits that it is possible to obtain; taking into account that the evolution of the digital twins will be linked to the technological evolution itself and the admission to different areas and digital infrastructures in industries, products, cities and others.