Copper Dust Image Analysis for Faster Battery Electrode Inspection
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Solution Overview
Problem
Existing methods for detecting and analyzing metal dusts in secondary battery manufacturing facilities are time-consuming, inaccurate, and lack a standardized approach for quantifying copper-based dusts, which can lead to performance deterioration and safety issues due to dendrite formation.
Innovation Solution
A copper-based dust analysis system and method using a digital microscope and central processing device for color-corrected image processing, combined with Laser Induced Breakdown Spectroscopy (LIBS) for automated detection and quantification of copper-based dusts, enabling rapid and accurate identification and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (SEM or XRF) are used to detect and analyze metal dusts, then detection capability is achieved, but analysis time becomes very long and the procedure becomes complicated
Solution Approach 1:
The patent extracts only the necessary detection function from complex conventional methods. By using a digital microscope with color-corrected imaging, the system isolates the essential detection capability while eliminating time-consuming procedures like tape capture, SEM imaging, and XRF analysis, achieving rapid copper-based dust detection without compromising detection capability
Solution Approach 2:
The patent replaces mechanical and complex analytical systems (SEM, XRF) with an optical system (digital microscope with color correction). This substitution enables rapid identification of copper-based dusts through color analysis, eliminating the need for complex mechanical procedures and lengthy analysis times while maintaining detection accuracy
2Measurement precision
If conventional methods are used to detect metal dusts, then detection is possible, but the metal composition identification becomes unclear and size measurement becomes inaccurate
Solution Approach 1:
The patent applies color correction processing to enhance the visual distinction of copper-based dusts from other materials. By adjusting color channels in the digital microscope images, copper-based dusts are highlighted with enhanced color contrast, enabling clear identification of metal composition and accurate size measurement without information loss
3Adaptability or versatility
If standardized detection methods are not established, then various dusts can be detected, but selective detection and quantification of copper-based dusts cannot be achieved
Solution Approach 1:
The patent applies local quality enhancement through color correction specifically targeted at copper-based dusts. The system processes images with enhanced color contrast that highlights copper-based materials while maintaining the ability to detect other dust types, enabling both broad detection scope and precise copper-based dust quantification through standardized color analysis
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
The system provides a standardized, efficient, and reliable method for detecting and quantifying copper-based dusts, reducing analysis time and improving the quality of electrodes by minimizing the risk of internal short circuits and failures.
Implementation Method 1
a digital microscope configured to generate respective images of a specimen and a reference specimen, and to convert the images into digitized image signals
Implementation Method 2
The component analysis part may be configured for component analysis by Laser Induced Breakdown Spectroscopy (LIBS)
Data Source
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AI summary
Disclosed herein relates to a copper-based dust analysis system according to the present disclosure including: a digital microscope configured to generate respective images of a specimen and a reference specimen, and to convert the images into digitized image signals; and a central processing device configured to process the digitized image signals transmitted from the digital microscope to generate image data, and to detect a copper-based dust in the image data of the specimen based on the reference data comprising image information of the copper-based dust, wherein the central processing device is configured to color-correctly process the image of the specimen and the image of the reference specimen, respectively, to distinguish the copper-based dust and the other material based on color.