Research On Rapid Generation Method Of Airport Noise Isoline

The mapping of airport noise isoline is an important part of assessing and controlling airport noise.The existing airport noise isoline can only reflect the average noise level of day,month or year,but cannot reflect the real-time distribution of noise.However,there are problems such as large amount of calculation and complicated rendering methods in the real-time rendering of airport noise isoline,so it is very necessary to study the rapid generation method of airport noise isoline.There are two key steps to draw a complete airport noise isoline map,the calculation of the noise and the drawing of the noise isoline.The calculation of the noise means that using radar data or noise monitoring data to calculate the noise at the grid points to be measured.The drawing of the noise isoline means that using the predicted noise grid data to plot the noise isoline map.Aiming at the problem of slow computing speed caused by the large number of grid points,a GPU-based NPD noise acceleration calculation method is proposed.Firstly,the NPD noise calculation method and the GPU related technology are analyzed.Then the parallel computing task is designed,and the CUDA parallel computing platform is selected.Finally,the high efficiency of the method is verified by experiments.Aiming at the feasibility problem of fast calculation of noise by using spatial interpolation,the two kinds of methods are compared.Firstly,the IDP algorithm and the OK algorithm are analyzed.Then the feasibility of the two algorithms is verified,and the OK algorithm is determined.Finally aiming at the limitation of OK algorithm in fast computation of noise,an OK algorithm based on heterogeneous mode is proposed,and the calculation of the grid point noise is speeded up by introducing the “operation matrix”.Aiming at the complexity of airport noise isoline drawing method,a parallel isoline generation algorithm based on GEL(grid edge labeling)is proposed.Firstly,the limitations of the traditional contouring methods are analyzed.Then use the elevation value search filter algorithm to solve the blind search for elevation value and use the GEL algorithm to solve the problem of repeated grid traversal.Finally,by dividing parallel task units reasonably,the isoline in grids generated parallelly and effectively.