Battery Diaphragm Misalignment Detection Using Image Segmentation
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Solution Overview
Problem
The misalignment of diaphragms superimposed on the anode electrode plate in battery production leads to decreased battery performance, and current detection methods rely on manual experience, resulting in low accuracy and efficiency.
Innovation Solution
A diaphragm detection method and apparatus that utilizes image processing to identify target image regions and perform misalignment detection on diaphragms, including grayscale image segmentation and edge detection to determine misalignment results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual experience-based detection is used to determine diaphragm misalignment, then the detection process is simple, but the detection accuracy and efficiency are low
Solution Approach 1:
The patent replaces manual experience-based detection with an automated image processing system. The system captures images of the electrode plate, performs grayscale processing to differentiate diaphragms from other components, and automatically determines misalignment based on image analysis rather than human judgment, thereby improving accuracy while maintaining operational simplicity
Solution Approach 2:
The patent introduces grayscale image processing as an intermediary step between image capture and misalignment determination. This intermediary process converts the captured image into a grayscale representation that enhances the visibility of diaphragms, enabling more accurate automated detection without requiring complex direct analysis of the original image
2Productivity
If manual experience-based detection is used to determine diaphragm misalignment, then the equipment is simple, but the detection efficiency is low
Solution Approach 1:
The patent replaces manual detection operations with an automated image processing system that captures images, processes them through grayscale conversion, and automatically determines misalignment. This substitution eliminates the time-consuming nature of manual inspection while maintaining system simplicity through the use of standard image processing techniques
Solution Approach 2:
The patent implements a self-service detection system where the image processing algorithm automatically analyzes the captured images and determines misalignment without requiring manual intervention. The system performs grayscale processing and misalignment determination autonomously, improving detection efficiency while keeping the overall system architecture simple
3Measurement precision
If image processing is used to perform automated misalignment detection on diaphragms, then the detection accuracy and efficiency are improved, but the processing complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct stages: image capture, grayscale processing, and misalignment determination. By dividing the overall detection process into these manageable segments, the system achieves high detection accuracy through systematic analysis while keeping each individual processing step relatively simple and computationally efficient
Data Source
AI summary
A diaphragm detection method includes acquiring a target image of an electrode plate to be detected. The electrode plate to be detected includes an anode electrode plate and diaphragms respectively stacked on two sides of the anode electrode plate. The method further includes performing image processing on the target image to determine a target image region in the target image, and performing diaphragm misalignment detection on the electrode plate to be detected based on the target image region.