Reasearch And Application Of UAV Rote Planning Base On Meterological Data

In recent years,drone technology has developed rapidly in China.No matter whether it is civilian or military,there are many kinds of drones.The research on the UAV route planning has become urgent.With the continuous development of drone technology and the continuous application of various sensors,the data dimension we have gained is increasing,the amount of data is expanding,and traditional data processing methods are becoming more and more stretched.At the same time,with the advent of the era of big data and the rapid development of related big data technologies,the ability of all industries to store and analyze large-scale high-latitude data continues to rise.Data collection on risk prediction is more comprehensively collected,stored,analyzed and mined with the help of big data related technologies.You can gain a deeper understanding of the changing laws of threats,make future predictions faster and more accurate,and promote the advancement of technology and the development of productivity.In view of the fact that the data volume of weather data can not be processed by traditional methods,this paper mainly studies the construction of Spark big data processing platform.Data processing is performed by using the big data platform to extract the effective features and the construction of the weather prediction model.The experimental data for this subject is the forecast data for ten models of daily weather provided by the UK Meteorological Agency.When constructing a weather forecasting model,the forecasting model is used to predict and optimize the optimal model parameters.The F1 values of each model are selected for comparison.Then,according to the characteristics of the weather data,the model with the highest F1 value is selected as the prediction model of the period.Finally,the results of the multiple models are summarized into the final weather forecast data set.In the UAV flight path planning,based on the predicted weather data and the relative position of the starting point and the target point,combined with the characteristics of the breadth-first search(BFS)and the A* algorithm,a set can be developed under the threat of changing conditions.The method of planning the safest shortest route.UAVs are developing rapidly,especially in the field of logistics.UAVs are characterized by fast speed,low cost and wide range of applications.The development of UAV route planning system based on weather data will be of great significance for the development of UAVs in the future..