Cell Alignment Metric Detection Using Two-Stage Electrode Positioning
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Solution Overview
Problem
Existing cell alignment metric detection methods using x-ray detection devices fail to accurately position positive and negative electrode plates, leading to inaccurate cell alignment detection.
Innovation Solution
A method involving two training models to process cell images, where a first model identifies a region of interest and a second model separates electrode plates, enabling accurate determination of terminal positions and misalignment quantities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If x-ray detection device is used for nondestructive detection, then detection can be performed without destroying the cell, but positions of positive plate and negative plate cannot be accurately positioned
Solution Approach 1:
The patent segments the electrode plate detection into multiple processing stages: first obtaining a rough detection result, then identifying a region of interest based on that result, and finally performing precise detection on the region of interest. This segmentation allows the system to achieve high precision without requiring the entire detection system to operate at maximum complexity, thus maintaining nondestructive detection while improving position accuracy.
Solution Approach 2:
The patent introduces a multi-dimensional processing approach by first detecting electrode plates in one dimension (overall cell image), then identifying regions of interest, and finally performing precise detection in another dimension (zoomed-in region). This dimensional transition from coarse to fine detection enables accurate positioning while maintaining the nondestructive nature of x-ray detection.
2Device complexity
If traditional detection method is used, then detection process is simple, but cell alignment metric detection accuracy is insufficient
Solution Approach 1:
The detection process is segmented into distinct stages: initial electrode plate detection, region of interest identification based on detection results, and precise alignment metric detection on the identified region. This segmentation transforms a single complex accurate detection into multiple simpler detection stages, where each stage focuses on a specific aspect, thereby improving overall accuracy without overwhelming system complexity.
Solution Approach 2:
The patent performs preliminary detection of electrode plates before conducting the final alignment metric detection. By first identifying the positions and regions of interest of electrode plates, the system prepares the data structure and focus areas in advance, which enables more accurate alignment detection in the subsequent step without requiring complete re-detection of the entire cell.
Data Source
AI summary
A cell alignment metric detection method, a controller, a detection system and a storage medium are disclosed. The cell alignment metric detection method includes: acquiring a first cell image; inputting the first cell image into a first training model for detection processing to obtain a region of interest; obtaining a second cell image and terminal position information of a second electrode plate according to the region of interest and the first cell image; inputting the second cell image into a second training model for separation processing to obtain a third cell image and terminal position information of a first electrode plate; performing image extraction and analysis on the third cell image to obtain a misalignment quantity; and obtaining the cell alignment metric according to the terminal position information of the second electrode plate and the first electrode plate and the misalignment quantity.