Anomaly Detection in Biological Material Using Multi-Energy Radiation
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Solution Overview
Problem
Existing methods for detecting inorganic objects like stone, metal, or glass in biological materials, such as wood, are unreliable due to high false alarm rates and insufficient sensitivity, especially in pre-processed materials, and fail to accurately distinguish anomalies in industrial processes.
Innovation Solution
A method using electromagnetic radiation of at least two different energy levels to measure transmission values through the material and a reference material, calculating a K-value to determine the presence of anomalies, which is more accurate and less sensitive to disturbances, allowing for reliable detection of inorganic objects without requiring separate attenuation coefficients or material thickness measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single energy level radiation measurement is used, then the device complexity is low, but the measurement precision and reliability are insufficient leading to high false alarm rates
Solution Approach 1:
The patent applies parameter changes by using electromagnetic radiation at multiple energy levels (at least two different energy levels) instead of a single energy level. This allows the system to measure transmission values at different energies and calculate a K-value that is characteristic of the material composition, thereby improving anomaly detection accuracy and reducing false alarms while maintaining reasonable system complexity
Solution Approach 2:
The patent introduces an additional dimension by adding energy level discrimination to the radiation measurement. Instead of measuring only transmission intensity at one energy level, the system measures transmission at multiple energy levels and uses the ratio relationship (K-value) to distinguish between organic and inorganic materials, effectively adding spectral information to the detection process
2Reliability
If the intensity absorption threshold is lowered to detect more inorganic objects, then the detection sensitivity improves, but false alarm rates increase significantly
Solution Approach 1:
The patent changes the detection parameter from simple intensity absorption threshold to a K-value derived from the ratio of transmission values at different energy levels. This K-value is material-specific and allows reliable distinction between organic materials (wood, pulp) and inorganic objects (metal, stone, glass), thereby improving detection reliability without increasing false alarms that would cause unnecessary process stops
Solution Approach 2:
The system uses feedback by comparing the calculated K-value against expected K-values for the biological material. This comparison provides a reliable basis for determining anomaly presence, allowing the system to maintain high detection reliability while minimizing false alarms that would result in unnecessary process interruptions
3Measurement precision
If separate attenuation coefficients and material thickness measurements are required, then the measurement precision can be high, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The patent extracts and eliminates the need for separate measurements of attenuation coefficients and material thickness by formulating a K-value that is independent of these parameters. The K-value is calculated directly from transmission measurements at two energy levels, automatically compensating for variations in material thickness and density, thereby maintaining measurement precision while greatly simplifying operation
Solution Approach 2:
The patent transforms the measurement approach by changing from direct measurement of multiple parameters (thickness, attenuation coefficients) to a ratio-based K-value calculation that is inherently independent of thickness. This parameter transformation maintains the ability to distinguish material composition while eliminating the need for complex separate measurements
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 provides a reliable and sensitive method for detecting inorganic anomalies in pre-processed biological materials, reducing false alarms and improving detection accuracy, particularly suitable for online measurements in industrial processes like wood processing.
Implementation Method 1
measure the intensity and calculate the amount of the original intensity that has been absorbed
Implementation Method 2
allow electromagnetic radiation to penetrate the stream of wood-like material
Data Source
AI summary
A method for detecting an anomaly in a biological material is disclosed, comprising the steps of: irradiating the biological material with electromagnetic radiation of at least two different energy levels; measuring the amount of radiation transmitted through said biological material at said energy levels; and determining, for each energy level, a transmission value through the biological material based on the radiation through said biological material. Before or after irradiation of said biological material, a reference material of a predetermined thickness is also irradiated with electromagnetic radiation at said energy levels, and the amount of radiation transmitted through the reference material at said energy levels is determined. For each energy level, a calibration reference value is determined based on the radiation transmitted through said reference material. Further, it is determined for each energy level, a calibrated transmission value based on a ratio between said determined transmission value through the biological material for the energy level and said determined calibration reference value for the energy level. Thereafter, a material value based on a relationship between the calibrated transmission value for said energy levels is determined, and the presence of an anomaly in said biological material is determined based on a comparison between the determined material value and an expected material value for said biological material. A corresponding apparatus is also disclosed.