Research On Compensation Algorithm Of Shadow Effect Of Ultrasonic Anemometer

Wind speed and wind direction are inextricably linked with daily life.The accuracy of observation or prediction can effectively enhance the rationality of the action plan and greatly improve the efficiency of production and labor.Therefore,how to accurately observe the wind speed and wind direction is particularly important.Ultrasonic anemometer have been widely used in meteorology,life and agriculture because of its solid structure and low maintenance costs.However,due to the shadow effect caused by its structural characteristics,the accuracy of wind speed measurement is reduced,which has become a problem that can not be ignored in the field of wind measurement.Therefore,this paper has carried out related research on the shadow effect and compensation method of ultrasonic anemometer.The specific work is as follows:Firstly,this paper briefly introduces the basic principle and development status of the ultrasonic anemometer,and discusses the generation of shadow effect and its impact.Secondly,based on the knowledge of fluid mechanics,the model and simulation of ultrasonic anemometer are carried out by using GAMBIT and Fluent software,so as to realize the effective analysis of shadow effect.In this paper,the simulation analysis of the ultrasonic anemometer can be divided into the following two steps: the first step is to select a path of the ultrasonic anemometer to simulate the low wind speed and high wind speed.The experimental results show that the error of shadow effect caused by horizontal wind downward streamlined transducer is smaller,while in different wind directions,when the wind direction angle is at a certain angle,the influence of shadow effect is smaller.The second step is to simulate the two wind-measuring paths of the ultrasonic anemometer simultaneously by cross-over method,and take into account the factors of wind speed,wind direction and temperature,so as to get the simulation results under different conditions.The results show that temperature has little influence on the shadow effect.At the end of the experiment,the simulation data is saved,and the training samples are provided for the next compensation algorithm based on the LSTM ultrasonic shadow effect.Finally,through the simulation of different wind speeds and wind tunnel datacompensation experiments,to verify the effectiveness of the proposed algorithm based on Fluent and LSTM neural network for shadow effect compensation.Firstly,the LSTM prediction model is trained by using the sample data obtained from Fluent simulation.Secondly,the compensation effects of SVR and MLR models are compared with the LSTM model proposed in this paper.The results verify the validity and superiority of the LSTM algorithm model.Finally,the feasibility of the LSTM neural network correction algorithm is further verified by wind tunnel data.In summary,the prediction model based on Fluent and LSTM neural network proposed in this paper can effectively compensate the error caused by the shadow effect,and its accuracy has been significantly improved,which provides a certain reference value for reducing the shadow effect of the ultrasonic anemometer.