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活立木內(nèi)部缺陷雷達波檢測研究
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中央高?;究蒲袠I(yè)務(wù)費專項資金項目(2017ZY27)和國家自然科學(xué)基金項目(31600589)


Radar Wave Detection of Standing Trees Internal Defect
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    摘要:

    針對活立木內(nèi)部結(jié)構(gòu)復(fù)雜,,個體化差異較大,導(dǎo)致雷達波圖像難以解析的問題,,提出了一種基于振幅比在線估計相對介電常數(shù)以及利用希爾伯特積進行層位追蹤實現(xiàn)缺陷界面的相對定位,,并結(jié)合活立木外輪廓點云數(shù)據(jù)確定其內(nèi)部缺陷絕對位置和分布表征的方法,,以此開發(fā)了基于雷達波的活立木內(nèi)部結(jié)構(gòu)缺陷分析軟件,。采用基于時域有限差分法的正演模擬,、實驗室原木試件檢測分析、頤和園現(xiàn)場活立木檢測等實驗驗證方法的可行性,。結(jié)果表明可對檢測目標點準確定位,,復(fù)現(xiàn)樹干內(nèi)部橫截面圖像,雷達波成像結(jié)果與古樹復(fù)壯時內(nèi)部實際結(jié)構(gòu)相符,。

    Abstract:

    Nondestructive detection for standing tree trunk is more difficult than that for other materials because of characteristics of radar wave imaging of standing tree trunk itself. According to the characteristics like complex internal structure and wide individual differences among different tree species, a method of absolute position characterization of internal defects was proposed. This amplitude ratio was used to estimate relative dielectric constant, and the Hilbert method was used for horizon tracking to realize the relative localization of defect interfaces. Then, the relative position was combined with the contour cloud data of standing tree trunk. The absolute coordinate of the internal structure of trunk was located and wood faultage image was reestablished at last. The internal structure analysis software was designed based on radar wave. For verifying the feasibility of the method, three experiments were performed: numerical simulations using the software GPRMax2D, based on finite-difference time-domain method, laboratory log measurements and real tree trunk measurements. The result showed that this method can locate the target point accurately. Its image resolution can show the internal defects such as holes and rots, and the results coincided with the actual structure of standing tree trunks during the restoration in the Summer Palace.

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文劍,李偉林,肖中亮,張京,韓紅巖.活立木內(nèi)部缺陷雷達波檢測研究[J].農(nóng)業(yè)機械學(xué)報,2017,48(10):180-188. WEN Jian, LI Weilin, XIAO Zhongliang, ZHANG Jing, HAN Hongyan. Radar Wave Detection of Standing Trees Internal Defect[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(10):180-188.

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  • 收稿日期:2017-06-21
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  • 在線發(fā)布日期: 2017-10-10
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