Battery Defect Inspection Using 2D Magnetic Field Inversion
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Solution Overview
Problem
Existing inspection methods for batteries lack the accuracy needed to precisely detect defects within the magnetic fields generated by the inspection targets.
Innovation Solution
An inspection device and method that utilizes a processor to analyze two-dimensional magnetic field data, distinguishing between first and second regions by inverting magnetic field values, and calculating difference data to accurately locate defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional magnetic field detection methods are used for battery inspection, then the inspection process is simple, but the measurement precision is insufficient to accurately detect defects
Solution Approach 1:
The patent divides the magnetic field detection process into multiple segments: acquiring two-dimensional magnetic field data, dividing the detection area into first and second regions, inverting magnetic field values in the second region, and calculating difference data. This segmentation transforms a single complex detection task into manageable steps, improving measurement precision without overwhelming system complexity
Solution Approach 2:
The patent applies inversion by reversing the magnetic field values in the second region before comparison. This inversion technique enhances the contrast between defective and non-defective areas in the difference data, significantly improving defect detection accuracy by making subtle anomalies more visible
2Measurement precision
If two-dimensional magnetic field data processing with region inversion is implemented, then the defect detection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the two-dimensional detection area into first and second regions along a predetermined direction, allowing focused processing of specific areas. This segmentation reduces the computational burden by treating different regions separately while maintaining high precision through the inversion and difference calculation process
Solution Approach 2:
The patent applies different processing operations to different regions: the first region uses original magnetic field values while the second region uses inverted values. This local quality approach optimizes defect detection by tailoring the processing method to the specific characteristics of each region, improving precision without requiring complex universal processing
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
Enables highly accurate detection of defects in batteries by processing two-dimensional magnetic field data, enhancing the precision of defect identification.
Implementation Method 1
an inspection target, such as a battery, is inspected by detecting a magnetic field generated from the inspection target
Data Source
AI summary
According to one embodiment, an inspection device includes an acquisitor configured to acquire data obtained from an inspection target, and a processor configured to perform a first operation of processing the data acquired by the acquisitor. The data includes magnetic field data being two-dimensional regarding a plane including a first direction and a second direction crossing the first direction. The plane includes a first region, a second region, a first position, a second position, and a third position. The magnetic field data includes a first region data regarding the first region and a second region data regarding the second region. In the first operation, the processor is configured to inspect the inspection target based on difference data between the first region data and a second region inversion data obtained by inverting a magnetic field value included in the second region data in the first direction.