基于近场声全息的植物病害检测
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国家自然科学基金资助项目(61071207)


Plant Disease Detection Based on Near-field Acoustic Holography
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    摘要:

    为了有效地判断植物病害胁迫程度,确定病害情况,依据植物声发射现象,基于分布源边界点法近场声全息技术,建立了柱面-球面非共形面声全息实验模型,对单声源和双声源分别进行仿真实验。通过改变模型中的全息圆柱面半径、全息测点数、重建球面上的结点数、虚构特解源到重建球面上结点的距离等参数,获取切实可行的实验参数。仿真结果表明:该方法能够准确识别及定位声发射源的位置。依据实验参数,建立了以DSP为核心的信号采集声全息实验系统,上位机以LabView为软件平台,进行数据分析处理。

    Abstract:

    In order to judge the degree of plant disease stress effectively and determine disease situation, according to plant acoustic emission phenomenon, cylindrical and spherical non-conformal acoustic holography experiment model was established based on the distributed source boundary point method near-field acoustic holography technology. Single sound source and double sound sources were simulated respectively. The parameters, such as the holographic cylindrical radius, the number of measuring points on the holographic face, the number of nodes on the reconstructed spherical surface, the distance from fictional special point sound source to nodes on the reconstructed spherical surface and so on should be adjusted to obtain the practicable experimental parameters. The simulation results showed that the method could identify and locate the position of the acoustic emission source accurately. According to the experimental parameters, the signal acquisition acoustic holography experiment system was established based on DSP, signal was analyzed and processed based on LabView software platform.

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王秀清,王海燕,杨世凤.基于近场声全息的植物病害检测[J].农业机械学报,2014,45(2):256-261. Wang Xiuqing, Wang Haiyan, Yang Shifen. Plant Disease Detection Based on Near-field Acoustic Holography[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(2):256-261.

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  • 收稿日期:2013-03-06
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  • 在线发布日期: 2014-02-10
  • 出版日期: 2014-02-10