Wood Dive Angle Detection via Light Reflection Patterns
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Solution Overview
Problem
Existing methods for determining grain deviation angles in wood, particularly dive angles, face inaccuracies due to assumptions of uniform tracheid orientation and circular cross-sections, leading to errors in knot size estimation and twist prediction, especially when surface roughness and ring curvature are present.
Innovation Solution
The method employs light reflection patterns, specifically using T2 scanning systems with reduced sensor numbers and improved peak finding algorithms, combined with knowledge of wood surface microstructure, to accurately determine dive angles and locate pith, thereby improving knot size estimation and twist prediction by analyzing valley and peak intensity differences and ring curvature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional T2 scanning systems with uniform sensor arrays and standard peak finding algorithms are used, then the system can measure grain deviation angles, but measurement precision deteriorates when surface roughness and ring curvature are present
Solution Approach 1:
The patent applies local quality by using non-uniform sensor spacing that adapts to local surface conditions. Sensors are positioned with varying angular intervals around the ring, with denser spacing in regions where surface roughness or curvature is detected, allowing the system to maintain high measurement precision despite varying surface conditions across the wood sample.
Solution Approach 2:
The patent implements dynamics by making the sensor array configuration adaptable rather than fixed. The system dynamically adjusts sensor activation and weighting based on detected surface conditions, and the peak finding algorithm dynamically selects from multiple methods (centroid, maximum intensity, quadratic fitting) based on the specific reflection pattern observed, thereby maintaining accuracy under varying conditions.
2Measurement precision
If a full ring of sensors is used to capture complete light reflection patterns, then measurement coverage is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies segmentation by dividing the sensor ring into multiple functional segments or zones rather than treating it as a uniform array. Different sensor segments can be independently controlled or weighted based on the specific measurement requirements and surface conditions, allowing the system to reduce complexity by activating only necessary sensor segments while maintaining measurement precision.
Solution Approach 2:
The patent implements universality by designing a sensor array that can operate in multiple modes - full ring operation for complex surfaces, partial ring operation for simpler surfaces, and adaptive configurations for different grain patterns. This multi-functionality allows the same hardware to achieve high measurement precision across various conditions without requiring separate specialized systems.
3Productivity
If standard peak finding algorithms are used, then the system can process reflection data, but knot size estimation accuracy deteriorates at high dive angles
Solution Approach 1:
The patent applies dynamics by implementing an adaptive peak finding system that selects different algorithmic approaches based on the detected reflection pattern characteristics. For high dive angles, the system dynamically switches to algorithms that account for asymmetric reflection patterns and adjusted geometric models, while maintaining fast processing through efficient implementation and pre-computed lookup tables for common scenarios.
Solution Approach 2:
The patent implements parameter changes by modifying the interpretation parameters and geometric assumptions in the analysis model based on detected dive angle ranges. For high dive angles, the system adjusts parameters such as the assumed reflection geometry, sensor response weighting, and peak detection thresholds, thereby maintaining accurate knot size estimation across the full range of dive angles without sacrificing processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of dive angle measurement and knot size estimation, optimizing lumber grading and twist prediction by minimizing noise effects and systematic errors, even at high dive angles and varying surface conditions.
Implementation Method 1
The reflected shape of a round spot of laser light will appear elongated when reflected off the surface of wood
Implementation Method 2
patterns of light scatter (both secular and diffuse) can be interpreted to infer geometric properties of the small fibers that constitute materials such as wood
Data Source
AI summary
Methods are provided for using light reflection patterns to determine various properties of fibrous materials, such as wood. More specifically, the present invention relates to methods for determining a dive angle for grain. Further, the present invention relates to methods for using information in T2 plots, combined with knowledge of the microstructure of a wood sample surface, to find pith location and/or ring curvature.