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    • 1. 发明专利
    • Noise observation system and noise observation method
    • 噪声观测系统和噪声观测方法
    • JP2012198063A
    • 2012-10-18
    • JP2011061280
    • 2011-03-18
    • Rion Co Ltdリオン株式会社
    • OKAZAKI MICHINARIMOTOYOSHI JUNICHIKAIDA KEIJISHINOHARA KENJITAZAKI MASARU
    • G01H3/00
    • G01H3/10G01S3/8083G01S3/86
    • PROBLEM TO BE SOLVED: To provide a technology capable of dealing with a determination of ground noise generated from an aircraft or the like even under a complicated noisy environment such as around an airfield.SOLUTION: A microphone unit 10 is installed within an airfield, and window areas Wa-Wc are specified individually for each zone that may become a noise generation source such as a parking area 20, a taxing path 30, an engine test operation area 60 or the like. The microphone unit 10 is utilized for sound identification according to a three-axis correlation of X axis, Y axis and Z axis, thereby calculating an arrival direction vector even for ground noise. By specifying the window areas Wa-Wc from a positional relationship between an observation point P and a zone in which noise is actually generated, it can be identified from a ratio of the arrival direction vector which one of the window areas Wa-Wc the ground noise comes from.
    • 要解决的问题:即使在诸如机场周围的复杂的嘈杂环境下,提供能够处理从飞机等产生的地面噪声的确定的技术。 解决方案:麦克风单元10安装在机场内,并且可以为可能成为噪声发生源的每个区域单独指定窗口区域Wa-Wc,例如停车区域20,征税路径30,发动机测试操作 区域60等。 麦克风单元10用于根据X轴,Y轴和Z轴的三轴相关的声音识别,从而计算即使对于地面噪声的到达方向矢量。 通过从观察点P和实际产生噪声的区域之间的位置关系指定窗口区域Wa-Wc,可以从窗口区域Wa-Wc中的哪一个到达方向矢量的比率来识别地面 噪音来自。 版权所有(C)2013,JPO&INPIT
    • 2. 发明专利
    • Noise observation device and noise observation method
    • 噪声观测装置和噪声观测方法
    • JP2013053918A
    • 2013-03-21
    • JP2011192116
    • 2011-09-02
    • Rion Co Ltdリオン株式会社
    • KAIDA KEIJISHINOHARA KENJI
    • G01H17/00
    • G01S3/8083
    • PROBLEM TO BE SOLVED: To provide technique capable of correctly and rapidly identifying noises even when the noises are different kinds of aircraft noises.SOLUTION: Noises including a single shot noise and a quasi-stationary noise are detected (S100), and feature amounts indicating the change of the arrival direction of the detected noises are calculated (S200). The calculated feature amounts are smoothed (S300), and candidate points being the points of time when the sound sources of the noises are changed are extracted based on the change qualities of the feature amounts from the smoothed feature amounts (S400). The candidate point close to the single shot noise and the excessively adjacent candidate point are excluded from the extracted candidate points (S500, S600). When the single shot noise exists between the candidate points in a section divided with the remaining candidate points without being excluded, the candidate points on both sides of the single shot noise are determined to be the quasi-stationary noise of the same sound source when correlation in the histogram of azimuth angles of the candidate points on both sides satisfies fixed reference (S700).
    • 要解决的问题:即使当噪声是不同种类的飞机噪声时,提供能够正确和快速地识别噪声的技术。 检测包括单一噪声和准静止噪声的噪声(S100),并且计算表示检测到的噪声的到达方向的变化的特征量(S200)。 计算的特征量被平滑化(S300),并且基于来自平滑特征量的特征量的变化质量,提取作为改变噪声的声源的时间点的候选点(S400)。 从所提取的候补点(S500,S600)中排除接近单体噪声的候选点和过度相邻的候补点。 当在不排除剩余候选点的部分中的候选点之间存在单独的噪声时,单相噪声的两侧的候选点在相关时被确定为相同声源的准静态噪声 在两侧的候选点的方位角的直方图中,满足固定的基准(S700)。 版权所有(C)2013,JPO&INPIT
    • 3. 发明专利
    • Noise observation device and noise observation method
    • 噪声观测装置和噪声观测方法
    • JP2014035287A
    • 2014-02-24
    • JP2012177181
    • 2012-08-09
    • Rion Co Ltdリオン株式会社
    • SHINOHARA KENJIKAIDA KEIJI
    • G01H3/00
    • G01S3/8083G01H3/00
    • PROBLEM TO BE SOLVED: To provide a technique which is capable of discriminating noise by using a cross correlation method, even in the case of the simultaneous occurrence of a plurality of kinds of noise under a noisy environment where a plurality of sound sources exist, like an airport.SOLUTION: A noise observation device includes: a cross correlation coefficient calculation unit 112 which uses four microphones M0 to M3 which are arranged so that two of them are located on each of axial lines of an X axis, a Y axis, and Z axis, and calculates cross correlation coefficients of sounds reaching the microphones M0 to M3 with respect to each axial line; a peak search processing unit 114 which extracts a plurality of time delays in which cross correlation coefficients show a peaking trend, in descending order of cross correlation coefficient; a segmentation processing unit 116 which collects variation of the plurality of time delays in a time region to form a set of continuous time delays with respect to each axial line; a normalized cross correlation coefficient calculation unit 122 which calculates normalized cross correlations between different axial lines with respect to sets of time delays per axial line; and a segment integration processing unit 124 which combines sets of time delays for the same sound source in accordance with normalized cross correlation functions.
    • 要解决的问题:为了提供能够通过互相关方法来辨别噪声的技术,即使在存在多个声源的嘈杂环境下同时出现多种噪声的情况下,如 机场。解决方案:噪声观测装置包括:互相关系数计算单元112,其使用四个麦克风M0至M3,其布置成使得它们中的两个位于X轴,Y轴和 Z轴,并且计算相对于每个轴线到达麦克风M0至M3的声音的相关系数; 峰值搜索处理单元114,以交叉相关系数的递减顺序提取互相关系数显示峰值趋势的多个时间延迟; 分割处理单元116,其收集时间区域中的多个时间延迟的变化,以形成关于每个轴线的一组连续的时间延迟; 归一化互相关系数计算单元122,其计算相对于每轴线的时间延迟集合的不同轴线之间的归一化互相关; 以及段积分处理单元124,其根据归一化的互相关函数组合用于相同声源的时间延迟。