Aviation Noise Monitoring And Analysis Based On Perception Of Airport Noise

Along with the rapid development of China's civil aviation industry,airport noise problem has aroused widespread concern in society.It is of great significance to carry out research on airport noise monitoring,forecasting and evaluation,and provide strong technical support for the comprehensive treatment of airport noise environment and the sustainable development of the city.On the basis of airport perception-based noise monitoring system,the thesis analyzes the feature of real-time noise data measured by dense monitoring points,and proposes the airport noise filtering algorithm and the aircraft noise recognition algorithm.The main contents of this thesis are as follows:Firstly,based on the particle filter algorithm,the real-time airport noise filtering algorithm is studied for the similarity of noise data between dense monitoring points.For the specific environments influenced by airport noise,the non-linear model of time series of noise data and the recursive update of noise state are studied.Based on the short-term trend of time series of noise data and the similarity between time series of monitors,the probability of monitoring point affected by local noise sources is calculated,the reliability of noise data measured at current time is obtained and the state transition equation of noise data of time series can be updated adaptively.Secondly,the real-time aerial noise recognition algorithm is studied in view of the spatial distribution characteristics of noise data measured by dense monitoring points.The method of measuring monitoring area's noise attenuation trend surface is proposed,and the noise influence capability of the whole monitoring area is calculated.The optimization method is used to find the position of the theoretical noise source and to maximize the noise influence capability,so as to recognize the existence of aviation noise.Experiments show that the algorithm can recognize the presence of aerial noise,estimate the position and influence range of aeronautical noise source,and visualize the flight path and the influence region of aerial noise.In this thesis,we focus on the practical problems,and study the real-time filtering and aerial noise recognition algorithms based on the noise data of dense monitoring points,which plays an important role in the development of China's aviation noise monitoring technology.