Research And Implementation Of Real-Time Calculation For Dynamic Three-dimensional Visualization Of Airport Noise

With the prosperity of country and people, China's civil aviation industry enters an unprecedented stage of development, while the airport noise is an increasingly prominent issue. Airport noise isoline map is an important basis of determining the impact range of airport noise on residents around the airport, controlling airport noise and planning land use around the airport. Therefore, the visualization of the airport noise which can be shown using the airport noise isoline is an important task for airport noise control and airport planning and design. The dynamically visualization of airport noise reflects the real-time changes of area around the airport and dynamically assesses the impact of noise by one flight case, providing a reliable basis for relevant departments to develop effective noise reduction plans.In this paper, a real-time calculation model of airport noise is proposed, including single-track and multi-tracks real-time calculation of the airport noise impact on the surrounding area of airport, and then a grid path based airport noise isoline drawing algorithm is adopted to draw the airport noise isoline. Furthermore, an airport noise dynamically visualization system based on Skyline is designed and implemented. At the same time, the input data, algorithms and techniques of the system are elaborated and the framework, processes and main functions of the system are presented. Besides, the drawbacks of system are analyzed.This paper makes use of clustering technology to resolve the problem as low accuracy of dynamic drawing and bad real-time effects which exist in airport noise dynamic visualization system. Task allocation is one of the key factors influencing performance of cluster system, which affects load balancing and resources utilization of cluster system. In dynamic three-dimensional drawing of airport noise isoline, the drawing accuracy and noise computational complexity depends on grid spacing size. In this process, how to allocate the noise computing tasks for the dynamic three-dimensional drawing of airport noise isoline to different server nodes in the cluster system and dynamically control the grid spacing size are the important steps to increase the resources utilization of cluster system, shorten the average response time and improve the accuracy of drawing noise isoline. In order to achieve these purposes, this paper analyzes the environmental factors of area around the airport and distribution character of airport noise, establishes relationship between the noise computation and the load of server node, and then a task allocation model for dynamic three-dimensional drawing of airport noise isoline is proposed. The model is solved by genetic algorithm. The simulation results show that the proposed method allocates tasks balanced and makes full use of system resources, shortens response time, and finally achieves the real-time computing requirements for dynamic three-dimensional drawing of airport noise isoline.