Design of a Smart Wind Turbine State Omni directional Real-time Perception Platform Based on Cloud and Mist Collaboration
This paper describes the design of a smart wind turbine state all-round real-time perception platform based on cloud and fog collaboration.Based on the operational characteristics of wind turbine equipment and combined with cloud and fog collaboration analysis methods,the basic architecture of the wind turbine state all-round real-time perception platform is determined.It applies dimensionless preprocessing methods to collect and process wind turbine state characteristic signals,and completes cloud and fog deployment.Introducing deep convolutional neural networks to achieve real-time monitoring and perception of wind turbine status.
cloud and fog collaborative algorithmsmart power plantwind turbine statusreal-time perception platform
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