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基于近場聲全息的植物病害檢測
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國家自然科學(xué)基金資助項目(61071207)


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

    為了有效地判斷植物病害脅迫程度,確定病害情況,依據(jù)植物聲發(fā)射現(xiàn)象,基于分布源邊界點(diǎn)法近場聲全息技術(shù),建立了柱面-球面非共形面聲全息實(shí)驗(yàn)?zāi)P?,對單聲源和雙聲源分別進(jìn)行仿真實(shí)驗(yàn)。通過改變模型中的全息圓柱面半徑、全息測點(diǎn)數(shù)、重建球面上的結(jié)點(diǎn)數(shù)、虛構(gòu)特解源到重建球面上結(jié)點(diǎn)的距離等參數(shù),獲取切實(shí)可行的實(shí)驗(yàn)參數(shù)。仿真結(jié)果表明:該方法能夠準(zhǔn)確識別及定位聲發(fā)射源的位置。依據(jù)實(shí)驗(yàn)參數(shù),建立了以DSP為核心的信號采集聲全息實(shí)驗(yàn)系統(tǒng),上位機(jī)以LabView為軟件平臺,進(jìn)行數(shù)據(jù)分析處理。

    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,楊世鳳.基于近場聲全息的植物病害檢測[J].農(nóng)業(yè)機(jī)械學(xué)報,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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  • 在線發(fā)布日期: 2014-02-10
  • 出版日期: 2014-02-10