Coating color matching method and system based on big data learning

Abstract

The present invention discloses a coating color matching method and system based on big data learning. The method comprises the steps of: performing detection through a spectrophotometer to obtain a reflectivity R of a target color block, calculate a K / S value of the target color block and tristimulus values [X, Y, Z] of the target color block, and inputting the tristimulus values [X, Y, Z] of thetarget color block into a machine learning model completing training in advance based on the big data learning, wherein the machine learning model completes training and then comprises mapping of thetristimulus values [X, Y, Z] of the target color block and the corresponding formula; and finally, obtaining a formula corresponding to the target color block and performing outputting. The coating color matching method and system based on big data learning can effectively solve the problems that the coating color matching industry is long in time consumption, high in cost and bad in effect, themethod of machine learning is introduced to allow the system to obtain a satisfied color matching result in continuous evolutionary learning, and therefore, the coating color matching method and system based on big data learning is high in intelligence, high in expandability and high in precision.

Description

technical field [0001] The invention relates to paint color matching technology in the paint industry, in particular to a paint color matching method and system based on big data learning. Background technique [0002] Computer color matching can provide guidance for specific production practices and simplify the color matching process by using color theory to accurately describe the color properties of pigments. Computer color matching can be widely used in industries involving color such as paint, textiles, garments and automobiles. Computer color matching technology began in the 1930s. CIE (International Commission on Illumination) created the tristimulus value colorimetry system. Hardy successfully designed an automatic recording reflectance multi-angle spectrophotometer; The theory of absorption and scattering in the medium, which is the theoretical basis of most computer color matching systems in the present period - Kubelka-Munk theory, referred to as K-M theory, K-M...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a paint color matching method and system based on big data learning in order to solve the existing problems such as excessive color difference that cannot be solved by relying on mathematical models and simple artificial neural networks in the current paint color matching industry. To achieve high-precision color matching of the paint color matching system, by introducing a spectrophotometer that can precisely measure color data, and for the paint industry, a method based on the combination of particle swarm algorithm and big data machine learning is proposed to accurately predict the formula, so as to realize the paint industry High-precision computer color matching

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