Anode Composite Strip Displacement Detection for Battery Alignment
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Solution Overview
Problem
Existing methods for detecting electrode plate alignment in battery production are low in precision and efficiency, leading to increased labor costs and reduced yield due to manual inspection and difficulty in detecting small deviations.
Innovation Solution
A displacement detection method for anode composite strips that includes obtaining an image of the strip and calculating displacement characteristics such as width direction, strip movement direction, and angle based on image processing techniques, using threshold processing and edge detection algorithms to accurately determine the position of positioning holes on the anode plate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to detect electrode plate alignment, then labor costs increase, but detection precision remains low and cannot meet high precision requirements
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical detection system. A camera captures images of the anode composite strip, and image processing algorithms automatically calculate displacement characteristics, eliminating the need for manual measurement while achieving high precision and efficiency simultaneously
Solution Approach 2:
The patent creates a digital copy (image) of the anode composite strip and performs detection on the image data rather than the physical object. This allows for precise, repeatable measurements without physical contact, improving both precision and efficiency
2Measurement precision
If manual inspection is used to guarantee alignment, then labor costs increase, but small deviations are difficult to detect
Solution Approach 1:
The patent replaces manual inspection with automated optical imaging and digital image processing. The system can detect and measure small deviations objectively without the limitations of human visual acuity, ensuring no information is lost and small deviations are accurately captured
Solution Approach 2:
The patent transitions from one-dimensional manual visual inspection to two-dimensional image capture with sub-pixel resolution. This dimensional enhancement allows for much more precise detection of small deviations by analyzing pixel intensity gradients and edge positions in the image data
3Productivity
If traditional detection methods are used, then detection speed is slow, but detection costs increase and malfunction rate rises
Solution Approach 1:
The patent replaces slow manual detection with automated optical imaging and computer-based image processing. The system captures images and calculates displacement characteristics automatically, significantly increasing detection speed while reducing human error and malfunction rate through consistent, repeatable measurements
Solution Approach 2:
The detection system is self-contained and automatically processes images to calculate displacement characteristics without requiring external manual intervention. The system performs its own measurement, calculation, and quality assessment functions, improving speed and reliability
Data Source
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AI summary
This application provides a displacement detection method for anode composite strip (1). The anode composite strip (1) includes an anode plate (11) and a separator (12) attached to a surface of the anode plate (11), where the anode plate includes positioning holes (13). The displacement detection method includes: step S1000: obtaining an image (4) of a portion of the anode composite strip including the positioning holes (13); and step S2000: calculating a displacement characteristic quantity based on the image (4), where the displacement characteristic quantity includes any one or any combination of a width direction displacement (D1), a strip movement direction displacement (D2), and a displacement angle (D3).