| 活立木内部缺陷雷达波检测研究 |
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| 引用本文： | 文剑,李伟林,肖中亮,张京,韩红岩.活立木内部缺陷雷达波检测研究[J].农业机械学报,2017,48(10):180-188. |
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| 作者姓名： | 文剑 李伟林 肖中亮 张京 韩红岩 |
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| 作者单位： | 北京林业大学,北京林业大学,北京林业大学,北京市颐和园管理处,北京市颐和园管理处 |
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| 基金项目： | 中央高校基本科研业务费专项资金项目（2017ZY27）和国家自然科学基金项目（31600589） |
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| 摘 要： | 针对活立木内部结构复杂,个体化差异较大,导致雷达波图像难以解析的问题,提出了一种基于振幅比在线估计相对介电常数以及利用希尔伯特积进行层位追踪实现缺陷界面的相对定位,并结合活立木外轮廓点云数据确定其内部缺陷绝对位置和分布表征的方法,以此开发了基于雷达波的活立木内部结构缺陷分析软件。采用基于时域有限差分法的正演模拟、实验室原木试件检测分析、颐和园现场活立木检测等实验验证方法的可行性。结果表明可对检测目标点准确定位,复现树干内部横截面图像,雷达波成像结果与古树复壮时内部实际结构相符。
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| 关 键 词： | 活立木 无损检测 雷达波 树木雷达 |
| 收稿时间： | 2017/6/21 0:00:00 |
Radar Wave Detection of Standing Trees Internal Defect |
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| WEN Jian,LI Weilin,XIAO Zhongliang,ZHANG Jing and HAN Hongyan.Radar Wave Detection of Standing Trees Internal Defect[J].Transactions of the Chinese Society of Agricultural Machinery,2017,48(10):180-188. |
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| Authors: | WEN Jian LI Weilin XIAO Zhongliang ZHANG Jing and HAN Hongyan |
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| Institution: | Beijing Forestry University,Beijing Forestry University,Beijing Forestry University,The Summer Palace Management Office and The Summer Palace Management Office |
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| 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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| Keywords: | standing trees nondestructive detection radar wave tree radar |
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