Electrostatics Calculation for Coating Texture Analysis
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Solution Overview
Problem
Existing methods for color matching, particularly in coatings with texture and gonioapparent effects, are inefficient and often result in non-optimal solutions due to the overwhelming amount of data from modern spectrophotometers and the lack of intuitive, streamlined approaches.
Innovation Solution
A computer-implemented method using electrostatics data calculated from spectral reflectance and colorimetric responses to identify the appropriate pigmentation for coatings, incorporating a processor to facilitate the analysis and empirical correlation of data from various angles and light sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If modern spectrophotometers capture data from multiple angles and light sources, then measurement precision is improved, but device complexity increases due to the overwhelming amount of data generated
Solution Approach 1:
The patent extracts only the most relevant spectral data points needed for pigment identification, separating essential information from the overwhelming amount of raw spectrophotometric data. This allows precise pigment matching while reducing computational complexity by focusing on key wavelengths and angles that provide the most diagnostic information about coating composition.
Solution Approach 2:
The patent segments the complex spectrophotometric data into distinct analytical components, processing different wavelength ranges and angular measurements separately through specialized algorithms. This segmentation enables the system to handle multi-angle, multi-planar data systematically, improving measurement precision without being overwhelmed by the total data volume.
2Reliability
If brute force combinatorial methods are used to identify pigments, then completeness of pigment search is improved, but productivity decreases due to the time-consuming nature of evaluating all possible pigment combinations
Solution Approach 1:
The patent performs preliminary analysis of spectral data to identify characteristic patterns and narrow down the pigment candidate pool before conducting full combinatorial evaluation. By pre-processing the data to highlight distinctive spectral features, the system reduces the number of pigment combinations that need to be tested, maintaining identification completeness while significantly improving formulation speed.
Solution Approach 2:
The patent transforms the spectral reflectance data into different parameter representations (such as colorimetric values, spectral derivatives, or transformed domains) that make pigment identification more efficient. These parameter changes enable the system to quickly eliminate unlikely pigment combinations and focus computational resources on the most promising candidates, balancing reliability and productivity.
3Measurement precision
If extensive multi-angle spectral data is collected, then measurement precision is improved, but loss of time increases due to the overwhelming amount of data to be processed
Solution Approach 1:
The patent applies partial action by selectively analyzing only the most informative angular measurements and spectral regions for pigment identification. Rather than processing all available multi-angle data equally, the system identifies and focuses on the subset of measurements that provide the highest diagnostic value, maintaining measurement precision while reducing processing time through targeted analysis.
Data Source
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AI summary
The present invention relates to a computer-implemented method, a system, an apparatus and a non-transitory computer-readable medium including software that make use of a calculation of electrostatics data from reflectance data in spectrophotometric analysis for efficient pigment identification in an unknown target coating. The present invention is particularly useful for reliably matching the texture and/or gonioapparent effect(s) occurring within an unknown target coating.