摘要
为监测和分析中小型机场附近噪声污染状况,提出一种基于单个飞机噪声事件最小顶点覆盖模型的机场噪声监测点分布方法。该方法以大量网格点作为候选监测点,形成顶点集合,利用INM噪声预测软件计算各顶点在每个噪声事件发生时的噪声值,根据单个飞机噪声事件的限值确定各顶点监测到的噪声事件,从而建立最小顶点覆盖模型,然后采用改进的贪心算法求得近似最优解,使得顶点能覆盖所有噪声事件并且个数最少,实验证明改进的贪心算法比传统的贪心算法得到的解更优,需要的监测点更少。
In order to monitor and analyze the noise pollution around a small and medium scale airport, a locating method of airport noise monitoring points based on minimum vertex cover model of single aircraft noise event was proposed. First of all, a large number of grid points constituting the vertex set were assumed as candidate monitoring points. The INM noise prediction software was used to calculate the noise values of these vertices when each event happened. According to the noise threshold of single event, one could determine whether a vertex monitors the event or not. Then the minimum vertex cover model could be established. After that, the minimum number of vertices which cover all noise events could be obtained by employing the improved greedy algorithm. Experimental results show that the improved greedy algorithm is better than traditional greedy algorithm. It needs less monitoring points for covering all noise events.
出处
《噪声与振动控制》
CSCD
2012年第3期166-170,共5页
Noise and Vibration Control
基金
国家自然科学基金重点课题(基金编号:61139002)
中国民用航空局科技项目(项目编号:MHRD201006)
中国民用航空局科技项目(项目编号:MHRD201101)
关键词
声学
最小顶点覆盖
贪心算法
监测点分布
飞机噪声事件
acoustics
minimum vertex cover
greedy algorithm
location of monitoring points
airport noise event
