Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for recognizing structure layer inside tree on basis of radar waves

An internal method, radar wave technology, applied in the direction of radio wave reflection/re-radiation, radio wave measurement system, measurement device, etc., can solve the problem of urban greening trees breaking and dumping, loss of ancient and famous trees, national cultural heritage, and affecting growth quality And other issues

Inactive Publication Date: 2017-02-22
BEIJING FORESTRY UNIVERSITY
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Trees growing in the natural environment are vulnerable to environmental deterioration and external infringement, which will affect the health and stability of trees, destroy the ecological environment, and untimely remedial and preventive measures will easily cause economic losses; internal defects, plant diseases and insect pests in forest areas and forest farms affect the growth quality; urban greening Trees are damaged and broken and toppled in bad weather, endangering the safety of people, property and lives; ancient and famous trees are damaged by fungi and insects, causing irreparable losses to national cultural heritage

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for recognizing structure layer inside tree on basis of radar waves
  • Method for recognizing structure layer inside tree on basis of radar waves
  • Method for recognizing structure layer inside tree on basis of radar waves

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below in combination with specific drawings and implementation examples.

[0027] The invention relates to a method for identifying layers of internal structures of trees based on radar waves. According to the process figure 1 , the steps of the present invention are as follows:

[0028] Step 1: detect the interior of wood body with radar waves, and initialize and preprocess the radar wave echo data obtained;

[0029] Step 2: After preprocessing the radar wave signal, use the Hilbert product algorithm to obtain the time delay information of the abnormality inside the woody body, and then determine the propagation time of the radar wave in the medium layer; Hilbert The special product method uses empirical mode decomposition (EMD) to adaptively decompose the signal into a finite number of intrinsic mode components IMF and a residual signal representing the trend of the signal, and uses the Hilbert transform to perform tim...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a continuous and nondestructive method for recognizing a layer structure in a tree, and can detect and image structures and abnormity in trees. Echo data are obtained at first by using radar waves to detect trees. When the radar waves are transmitted in wood, different dielectric constants in the wood affect radar wave transmitting speed, amplitude intensity, reflection time and the like. Dielectric constants of different dielectric layers (a bark, a splint wood and a heartwood) inside the tree are different, echo signal amplitude and reflection time of the radar waves are different. The dielectric constants of the various layers are estimated by a layer-by-layer inversion method, and electromagnetic wave transmitting speed is determined; and echo time delay of the various layers is obtained by a Hilbert detection method. Thicknesses of the various layers are determined on the basis of the echo time delay and the transmitting speed. According to the characteristics that a reflection wave amplitude value and value of difference between dielectric constants of adjacent interfaces are directly proportional, and reflection wave time delay depends on the property and the position of dielectric, the position and the shape of a rotten part in the tree can be determined by analyzing echo signal time delay and amplitude.

Description

technical field [0001] The invention belongs to the field of tree trunk internal structure detection and evaluation, in particular to a method for layer recognition of tree internal structure based on radar waves Background technique [0002] Trees growing in the natural environment are vulnerable to environmental deterioration and external infringement, which will affect the health and stability of trees, destroy the ecological environment, and untimely remedial and preventive measures will easily cause economic losses; internal defects, plant diseases and insect pests in forest areas and forest farms affect the growth quality; urban greening Trees are damaged and broken and toppled in bad weather, endangering people's property and life safety; ancient and famous trees are damaged by fungi and insects, causing irreparable losses to national cultural heritage. The damage to trees is mainly manifested as cracks, scabs, decay and hollows inside the trees. Most of the living t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/02G01S13/88
CPCG01N27/02G01S13/88
Inventor 文剑肖中亮肖夏阳李伟林高林
Owner BEIJING FORESTRY UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products