Method for simulating RGB atmosphere light color

Abstract

The invention discloses a method for simulating RGB atmosphere light colors, and the method comprises the following steps: (1) constructing a neural network model in a way that R, G and B parameters are input and chromaticity coordinates x and y are output; (2) collecting training sample data based on an actual RGB atmosphere lamp; (3) preprocessing the training sample data; (4) training the neural network model by using the preprocessed training sample data until the training is completed; (5) inputting preset R, G and B parameters into the trained neural network model, and outputting simulated chromaticity coordinates by the neural network model. According to the method, the actual environment and the idle equipment can be separated, the RGB atmosphere light color can be adjusted and verified, and the judgment work and calibration steps of the lamp can be greatly simplified, so that the development efficiency of the lamp is effectively improved, and the method has very good popularization prospects and application values.

Description

technical field [0001] The invention relates to a simulation method, in particular to a method for simulating light color. Background technique [0002] Light guides have the function of transmitting light. In recent years, light guides have been widely used in automotive interior lighting and atmosphere creation, and achieved excellent implementation results. [0003] According to the demand of the market, some special colors of light are often required, and these special colors of light can usually be blended out by using the existing color light. However, it should be noted that the design of the light guide greatly affects the light mixing effect of various colors, such as light guide material, injection molding method, structural design, etc. These designs will lead to differences between the light guide light color and the theoretical color to a certain extent. Therefore, the color of the RGB ambient light is one of the important indicators for evaluating the performa...

AI Technical Summary

Problems solved by technology

Among them, each test can only obtain a set of chromaticity values, the operation is complicated and time-consuming, and the LED heating caused by long-term operation will also lead to inaccurate subsequent color measurement.

[0005] It can be seen that in the prior art, the technical solution for evaluating the color of RGB ambient lights is relatively complicated, and the evaluation results are easily disturbed by external factors

Due to factors such as environmental limitations, equipment restrictions, and complex operations, it will lead to difficulties in the development of ambient lights

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