A Path Planning Method of the UAV Intelligent Line Patrol Based on Internet of Things
To ensure the effect of intelligent line patrol path planning and improve the safety of obstacle survey and the accuracy of target search in the case of many uncertain factors in the transmission line environment,a UAV intelligent line patrol path planning method based on Internet of Things is proposed in this paper.Based on the characteristics of the Internet of Things platform and the characteristics of the surrounding environment of the transmission line,the paper uses the sight distance measurement method to test the safety distance.The weighted distance formula is used to calculate the distance difference between ground flight points,lock the weighted relationship between ground difference and flight distance difference,and ensure the stable flight of the UAV.The nodes around the transmission line are calculated by interpolation,and the gross error of the noise data is eliminated to compensate the difference vector.The return function is used to calculate the path between sample obstacles,divide the optimal route driving path,and realize the path planning of the UAV intelligent line patrol.The experimental results show that the distance difference between the UAV and obstacles is not less than 200 m,the number of target searches can reach 33,and the data elimination rate is as high as 98％.The effect of the intelligent route patrol path planning and data gross error elimination is good,which can effectively improve the safety of obstacle survey and the accuracy of target search.
internet of things platformUAVintelligent line patrolroute planninggross error eliminationweighted distance
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