Spark Discharge Analysis Deviation Correction for Large Metal Surfaces
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Solution Overview
Problem
Current methods for characterizing the surface components of large-size metal materials face challenges with instrument drifts and measurement errors, particularly in scanning areas larger than 50 mm×50 mm, leading to suboptimal analysis results.
Innovation Solution
A measurement deviation correction method and system that performs line-by-line and column-by-column scanning using spark spectrum analysis, applying linear fitting equations for in-line and inter-line corrections, and coupling the results to achieve accurate component content distribution across the surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If line-by-line or column-by-column scanning is used to characterize surface components of large-size metal materials, then the measurement area can be covered, but instrument drifts and measurement errors increase, leading to reduced measurement precision
Solution Approach 1:
The patent divides the large measurement area into multiple lines and columns, performing separate scanning measurements on each line and column. By segmenting the overall measurement into smaller units (lines and columns), the system can apply individual correction processes to each segment, thereby maintaining measurement precision across the entire large area while covering extensive surfaces.
Solution Approach 2:
The patent introduces correction parameters through linear fitting equations that model and compensate for instrument drifts and measurement errors. By changing the measurement parameters through mathematical correction (in-line and inter-line/inter-column corrections), the system restores measurement precision without sacrificing the ability to cover large areas.
2Area of stationary object
If scanning measurements are performed on large areas, then comprehensive surface characterization is achieved, but detection time increases due to the complexity of the process
Solution Approach 1:
The patent performs preliminary correction actions by establishing linear fitting equations and correction models before final data processing. By pre-calculating correction factors and applying them systematically to each line and column, the system reduces the time required for post-processing and achieves comprehensive surface characterization more efficiently.
Solution Approach 2:
The measurement system performs self-correction through automated linear fitting and data processing algorithms. The system automatically identifies and corrects instrument drifts and measurement errors without requiring external intervention, thereby reducing detection time while maintaining comprehensive surface coverage.
3Measurement precision
If correction processes are applied to scanning measurement data, then measurement precision is improved, but the complexity of the measurement system increases
Solution Approach 1:
The patent implements feedback mechanisms through linear fitting equations that continuously monitor and correct measurement deviations. By establishing feedback loops that compare measured values against fitted models and apply corrections accordingly, the system improves component content accuracy while managing complexity through systematic, rule-based correction processes.
Solution Approach 2:
The patent introduces mathematical models and correction algorithms as intermediaries between the raw measurement data and the final results. These intermediary correction processes (in-line and inter-line/inter-column corrections) act as mediators that simplify the complexity by providing structured, automated correction steps rather than requiring complex hardware modifications.
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
Effectively corrects instrument drifts and measurement errors, ensuring precise characterization of large-size metal material surfaces by averaging values and eliminating extreme values, resulting in optimal component content measurements.
Implementation Method 1
spark discharge analysis of large-size metal material
Implementation Method 2
line spark emission spectrum intensity
Data Source
AI summary
A measurement deviation correction method and system for spark discharge analysis of a large-size metal material includes: performing line-by-line scanning measurement on a surface of the material to obtain a line component content, performing in-line correction on the line component content by adopting a line linear fitting model, and performing inter-line correction by taking a total average value obtained by eliminating an extreme value from a line component content distribution to obtain an inter-line corrected component content; performing column-by-column scanning measurement on the surface of the material to obtain a column component content, performing in-column correction on the column component content by adopting a column linear fitting model, and performing inter-column correction by taking a total average value obtained by eliminating an extreme value from the column component content; and coupling the inter-line corrected component content and the inter-column corrected component content to obtain an optimal measurement component content.