航空学报 > 2014, Vol. 35 Issue (4): 1102-1110   doi: 10.7527/S1000-6893.2013.0474

基于航迹分割的航空器噪声预测模型

丁建立1,2, 周磊1   

  1. 1. 中国民航大学 计算机科学与技术学院, 天津 300300;
    2. 中国民航大学 中国民航信息技术科研基地, 天津 300300
  • 收稿日期:2013-06-19 修回日期:2013-11-26 出版日期:2014-04-25 发布日期:2014-01-16
  • 通讯作者: 丁建立,Tel.:022-24092066 E-mail:jlding@cauc.edu.cn E-mail:jlding@cauc.edu.cn
  • 作者简介:丁建立男,博士,教授。主要研究方向:智能仿生算法及智能航班优化调度、智能民航信息处理技术。Tel:022-24092066 E-mail:jlding@cauc.edu.cn;周磊男,硕士研究生。主要研究方向:信息安全。Tel:022-24092066 E-mail:jack0558@qq.com
  • 基金资助:

    国家自然科学基金(61139002);国家"863"计划(2012AA063301);中国民用航空局科技项目(MHRD201006,MHRD201101);中央高校基本科研业务费专项资金(3122013P013)

Aircraft Noise Prediction Model Based on Flight Track Segmentation

DING Jianli1,2, ZHOU Lei1   

  1. 1. School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China;
    2. Information Technology Research Base of Civil Aviation Administration of China, Civil Aviation University of China, Tianjin 300300, China
  • Received:2013-06-19 Revised:2013-11-26 Online:2014-04-25 Published:2014-01-16
  • Supported by:

    National Natural Science Foundation of China (61139002); National High-tech Research and Development Program of China (2012AA063301); Science and Technology Projects of Civil Aviation Administration of China (MHRD201006, MHRD201101); The Fundamental Research Funds for the Central Universities (3122013P013)

摘要:

根据航空器的航迹来预测其影响区域的噪声情况,基于航迹的几何特性,将航迹分成直线段航迹和曲线段航迹两个基本航迹元素;确定了直线段和曲线段的各自影响范围之后,分别计算各航迹段对它们影响区域的噪声值贡献情况;统计了各个航迹段对监测点的噪声影响之后,综合得出整个航迹段对监测点的噪声影响,从而建立了航空器航迹噪声预测的模型。将该模型计算的结果分别和软件模拟数据、实际监测数据进行对比分析,发现该模型在航迹段内对监测点噪声均值的预测较为准确,监测点噪声峰值预测结果更接近实测数据。

关键词: 飞行航迹, 航空器噪声, 噪声强度, 预测模型, 噪声预测

Abstract:

To predict aircraft noise according to aircraft tracks, the aircraft tracks are divided into two basic track elements based on their geometric characteristics, i.e. the straight line tracks and the curve line tracks, and then the noise contribution of the straight line track and the curve line track are calculated respectively for their area of influence. After a statistical treatment of the noise impact on all segments of the track monitoring points, the noise finally comes together to affect the entire track segment monitoring points. Thus an aircraft track noise prediction model is established in this paper. Compared with similar prediction software and the actual monitoring data, the predicted average noise values of the present model are relatively accurate, and the predicted noise peak values are more accurate.

Key words: flight track, aircraft noise, noise intensity, prediction model, noise prediction

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