Application-Driven Data Management Framework for Wind Farms by Cloud-Edge-End Collaboration

To improve the utilization efficiency of servers in data transmission, computing and storage for wind farms, an application-driven data management framework is constructed based on cloud-edge-end collaboration technology. This paper first systematically sorts out the features of business data in wind farms from time dimension and application objects. Then, a cloud-edge-end collaborative framework and server resources allocation scheme are proposed according to the demands of business for data processing. In addition, taking the data quality improvement as an example, the cloud-edge-end collaborative business splitting, reorganization and distribution schemes are developed to improve the quality and values of raw data with high reliability, high bandwidth and low energy consumption. Finally, the performances in data transmission, storage and energy consumption between cloud-edge-end collaboration and traditional centralized computing are compared to illustrate effectiveness and advantages of the proposed structure.