Method for detecting defect positions on radial sections of trees

Abstract

The invention discloses a method for detecting defect positions on radial sections of trees. According to the method, the surface of a tested tree respectively undergoes four times of sensor fixing operations; all the fixed sensors are respectively connected to a stress wave detector, and the stress wave detector is connected to a PC; a pulse hammer is used to knock on a stress wave signal emission sensor; stress wave propagation time data is acquired by the PC; stress wave propagation speed data is calculated; the stress wave propagation speed data is respectively compared with health reference value of the tested tree to judge the stress wave propagation speed data is abnormal data or normal data; and finally, a stress wave signal propagation route map is drawn, and an initial stress wave signal propagation route undergoes primary and secondary treatments. The obtained stress wave signal propagation route map can show defect positions on the radial section of the tree. By the method, defect positions on the radial section of the tree can be rapidly and accurately detected, and the experiment operation is convenient. The method has a good guidance effect on detection of defects inside trees.

Description

technical field [0001] The invention relates to a method for detecting defect positions of trees, in particular to a method for detecting defect positions on tree radial sections. Background technique [0002] Stress wave refers to the elastic mechanical wave that can propagate inside the object due to the stress after the object is impacted. In my country, the stress wave technology was first applied to the performance and defect detection of concrete, rock and soil, foundation piles and oil and gas pipelines, and then gradually attracted the attention of forestry scientific and technological personnel, and applied this technology to the field of nondestructive testing of wood. The propagation mechanism of waves, the means of obtaining experimental data, the correlation between data, the differences between different tree species, and qualitative and quantitative identification have been deeply studied, and a large number of research results have been obtained. [0003] At ...

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Problems solved by technology

[0003] At present, there have been extensive researches on the detection of internal defects of trees and two-dimensional imaging at home and abroad, but there are relatively few studies on the position detection of defects on the longitudinal section of trees. Most of the traditional methods can only detect defects on the cross-section of trees. position, it is difficult to make an accurate judgment on the vertical situation

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