Anode Composite Strip Image Alignment Using Positioning Holes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual inspection of electrode plate alignment in battery cell production is low in precision, leading to reduced yield and increased production costs, as small deviations are difficult to detect accurately.
Innovation Solution
A displacement detection method and apparatus that uses image processing to calculate displacement characteristics such as width direction displacement, strip movement direction displacement, and displacement angle of the anode composite strip, improving detection accuracy and efficiency by positioning edges and calculating distances and angles based on images of the anode plate and positioning holes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to detect electrode plate alignment, then labor costs are reduced, but detection precision is insufficient and small deviations cannot be found accurately
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated image processing system. A camera captures images of the anode composite strip and positioning holes, and a processor automatically calculates displacement characteristic quantities (width direction displacement, strip movement direction displacement, and displacement angle) through image analysis, eliminating the need for manual measurement while achieving high precision detection of even small deviations.
Solution Approach 2:
The patent creates an optical copy (image) of the anode composite strip and positioning holes using a camera. This image copy is then processed to extract position information and calculate displacement characteristics, allowing non-contact, high-precision measurement without physically touching or disturbing the actual components.
2Reliability
If manual inspection is used to ensure alignment, then alignment quality can be monitored, but labor costs increase significantly
Solution Approach 1:
The detection system is designed to be self-sufficient by using the existing positioning holes on the anode plate as natural reference markers. The system automatically captures images, processes them to identify positioning hole positions, and calculates displacement characteristics without requiring external calibration standards or complex reference systems, thereby ensuring reliable alignment monitoring while keeping the system relatively simple.
Solution Approach 2:
The patent transforms the physical alignment problem into a measurable parameter problem by calculating three specific displacement characteristic quantities (width direction displacement, strip movement direction displacement, and displacement angle) from image data. This parameter transformation enables automated, objective, and reliable alignment quality assessment.
3Productivity
If automated image processing is implemented, then detection precision and speed improve, but system complexity increases
Solution Approach 1:
The patent segments the detection task into distinct processing stages: image acquisition, positioning hole identification, edge detection, and displacement characteristic calculation. Each stage processes specific information independently, which simplifies the overall system architecture while enabling high-speed automated detection through parallel and sequential processing of different image features.
4Measurement precision
If automated image processing is implemented, then detection precision and speed improve, but detection costs increase
Solution Approach 1:
The patent uses a standard camera and conventional image processing algorithms that are relatively low-cost compared to specialized precision measurement equipment. The system processes digital images that can be stored and reprocessed if needed, avoiding the need for expensive permanent calibration standards or specialized hardware, thereby achieving high detection precision at lower cost.
Data Source
AI summary
This application provides a displacement detection method for anode composite strip. The anode composite strip includes an anode plate and a separator attached to a surface of the anode plate, where the anode plate includes positioning holes. The displacement detection method includes: step S1000: obtaining an image of a portion of the anode composite strip including the positioning holes; and step S2000: calculating a displacement characteristic quantity based on the image, where the displacement characteristic quantity includes any one or any combination of a width direction displacement, a strip movement direction displacement, and a displacement angle.