Genetic Algorithm Light Source Array for Material Characterization
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Solution Overview
Problem
The high cost and complexity of traditional spectroscopic instruments limit their deployment for material characterization and recycling processes, making it difficult to accurately identify and sort waste materials, especially in mixed or contaminated streams.
Innovation Solution
A method using genetic algorithms to configure light source arrays for specific material characterization, which includes selecting and optimizing a subset of light sources to generate a spectroscopic sensor configuration that can accurately identify target materials by projecting characteristic spectral features onto the emission patterns of the light sources, thereby reducing the need for broad-spectrum instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional spectroscopic instruments are used for material characterization, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent segments the broad-spectrum light source into multiple narrow-band LED light sources, each emitting at specific wavelengths. This segmentation allows the system to use simpler, cheaper narrow-band sources instead of complex broad-spectrum sources, reducing device complexity while maintaining material identification capability through selective wavelength probing
Solution Approach 2:
The patent creates a universal light source array configuration that can characterize multiple different materials using a standardized set of LEDs. The system uses a common hardware platform with multiple LEDs that can be programmed to probe different wavelength regions, making the instrument adaptable to various materials without requiring separate specialized instruments for each material type
2Measurement precision
If traditional spectroscopic instruments are used for material characterization, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent replaces expensive traditional spectroscopic instruments with arrays of inexpensive narrow-band LED light sources. Individual LEDs are low-cost components that can be easily manufactured and replaced, dramatically reducing the overall system cost while maintaining sufficient measurement precision for material identification and sorting applications
Solution Approach 2:
The patent changes the spectral parameters of the light source from broad-spectrum continuous emission to multiple discrete narrow-band emissions. This parameter change allows the use of cheaper LED technology instead of expensive traditional light sources, reducing system cost while providing sufficient spectral information for material characterization through selective wavelength probing
3Adaptability or versatility
If broad-spectrum light sources are used, then adaptability to different materials is improved, but device complexity increases
Solution Approach 1:
The patent implements a dynamic light source selection system where the control unit can programmatically activate different subsets of LEDs based on the specific material being characterized. This dynamic reconfiguration allows the system to adapt to different materials by selecting appropriate wavelength combinations, providing versatility without requiring physical changes to the hardware architecture
Solution Approach 2:
The patent pre-configures arrays of narrow-band LEDs to cover relevant spectral regions for common materials. By having the light sources pre-positioned and the system pre-programmed with wavelength selection strategies, the system can quickly adapt to different materials without requiring complex real-time spectral analysis or adaptive hardware reconfiguration
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 enables the development of scalable, cost-effective sensor systems for material sorting and recycling, capable of identifying specific materials and contaminants with high specificity, improving the efficiency and accuracy of chemical recycling processes.
Implementation Method 1
Covalent bonds between constituent atoms in a molecule absorb infrared (IR) radiation at characteristic frequencies
Implementation Method 2
Vibrational spectroscopy is one approach to characterize the interaction of matter with light
Data Source
AI summary
Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.