Geospatial business intelligence and cloud services for context aware digital twins development

摘要

Over the past few years, digital twins have gained popularity in many fields that are now making them a vital part of their technological ecosystem. The philosophy behind the design of a digital system that dynamically interacts in real time with a real system is extremely complex as several contextual, functional and technological constraints intervene in the creation and implementation of this kind of systems. The purpose of this paper is to outline a systematic and formalized Framework for the layout and conception of digital twins; throughout the proposition of a digital twins’ geospatial business intelligence platform. The main missions of this platform within an emerging industry will be to support the integration of digital twins and their mastery within the specific context of their deployment, while benchmarking and taking inspiration from all the advances, research, feedback related to digital twins’ deployment at a worldwide and country level and in several domains. Secondly, within a context where digital twins are currently integrated into the country’s growth strategic ecosystem, to leverage the results obtained and create a layer of autonomy and intelligence that will pave the way for the development of intelligent and context aware digital twins within the scope of smart factories.