High-turbulence wind condition recognition method and device, storage medium and electronic equipment
The invention provides a high turbulence wind condition recognition method and device, a storage medium and electronic equipment, all operation parameters are divided into a first number of sub observation windows according to collection time, each group of operation parameters comprises correspondi...
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| creator | HUANG LINGXIANG ZHANG SHUOWANG XU KE PENG LANGJUN |
| description | The invention provides a high turbulence wind condition recognition method and device, a storage medium and electronic equipment, all operation parameters are divided into a first number of sub observation windows according to collection time, each group of operation parameters comprises corresponding collection time, the number of the operation parameters contained in each group of sub observation windows is the same, and the number of the operation parameters contained in each group of sub observation windows is the same. The acquisition time corresponding to the operation parameters in each group of sub observation windows is continuous. A prediction result corresponding to each group of sub-observation windows is outputted by taking each group of sub-observation windows as the input of the turbulence prediction model. a prediction result of whether the wind regime corresponding to the sub-observation window is the high-turbulence wind regime or not can be conveniently and quickly obtained. A probability v |
| format | Patent |
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The acquisition time corresponding to the operation parameters in each group of sub observation windows is continuous. A prediction result corresponding to each group of sub-observation windows is outputted by taking each group of sub-observation windows as the input of the turbulence prediction model. a prediction result of whether the wind regime corresponding to the sub-observation window is the high-turbulence wind regime or not can be conveniently and quickly obtained. 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The acquisition time corresponding to the operation parameters in each group of sub observation windows is continuous. A prediction result corresponding to each group of sub-observation windows is outputted by taking each group of sub-observation windows as the input of the turbulence prediction model. a prediction result of whether the wind regime corresponding to the sub-observation window is the high-turbulence wind regime or not can be conveniently and quickly obtained. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | High-turbulence wind condition recognition method and device, storage medium and electronic equipment |
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