A Scientific Model to Support Industrial Data Management Process Using Virtualized Environments

Nowadays, scientific and industrial fields produce data at rates never seen before. They usually produce an extensive amount of raw data that should be transformed and manipulated to be stored correctly considering different storage perspectives. In many cases, due to the heterogeneity of the temporal data, these storage methods should be configured to make consistent data available for client consumption. Considering raw data management of a natural industrial environment to support specific local tasks, in this paper, an industrial effort model in the context of virtual environment data access was constructed. In this solution, the data were captured, processed, and available in almost real-time for in loco staff through VR technologies. The usage of these virtualized technologies in industrial areas is challenging and promissory due to the wide variety of applications to support locale tasks. The results presented are promising to support tasks and operational demands in complex industrial contexts.