Intelligent big data processing for wind farm monitoring and analysis based on cloud-technologies and digital twins: A quantitative approach

Monitoring and analysis processes of big data are normally bound either to a technical or business context and even further separated into continuous or discrete resolution. In our approach a sound semantical integration of these different information types is presented and applied to a concrete use-case, the global monitoring and analysis of wind farms. Furthermore, a new user-interface style based on augmented reality is presented allowing - even to a novice - an intuitive and quick understanding of complex analysis results.