A non-destructive and rapid detection method for white birch wood properties
By conducting correlation analysis on living birch trees and combining multiple technologies, a non-destructive rapid detection model was established, which solved the problem of the difficulty in jointly evaluating multiple wood property indicators in traditional methods. This model enables high-precision, non-destructive, and rapid detection of birch wood property indicators, supporting breeding and timber utilization.
Patent Information
- Application Number
- CN202610607564.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to accurately predict multiple timber properties of living birch trees without damaging them, especially the non-destructive and rapid detection of key indicators such as elastic modulus and compressive strength. Furthermore, traditional methods involve destructive sampling, high testing costs, and are difficult to meet the needs of large-scale sample screening and joint evaluation of multiple traits.
By collecting living birch tree samples, correlation analysis was performed using SPSS software to screen out significantly correlated material property index combinations. Then, by combining the Pilodyn detector, stress wave wood detector, and micro-drill resistance meter, regression equations were established to construct a non-destructive rapid detection model for birch material properties, enabling non-destructive and rapid evaluation of key material property indicators.
It enables high-precision, non-destructive, and rapid detection of key wood properties of living birch trees, provides a technical means for joint evaluation of multiple traits, and supports birch wood property improvement breeding and screening of superior individual trees.
Smart Images
Figure CN122409858A_ABST