Color Sensor Light Source Parameter Measurement
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Solution Overview
Problem
Existing methods for measuring light source parameters, such as spectrometers, are complex, large, and expensive, making them unsuitable for large-scale applications in intelligent illumination systems.
Innovation Solution
A measurement method and device using a color sensor with at least six response channels, which preprocess signal values through normalization and standardization, construct model features, and input them into a color rendering index prediction model to determine the light source type and obtain the color rendering index, simplifying the measurement process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectrometers are used to measure light source parameters, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a color sensor with at least six response channels as a simplified copy or alternative to the spectrometer. Instead of using the full spectral measurement capability of a spectrometer, the invention creates a simplified measurement system that copies only the essential functionality needed for light source parameter measurement, achieving acceptable precision with reduced complexity
Solution Approach 2:
The patent replaces expensive, complex spectrometers with cheaper color sensors that have fewer response channels. This substitution uses lower-cost components to achieve the measurement function, trading some precision for significant reductions in device complexity and cost
2Measurement precision
If spectrometers are used to measure light source parameters, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The invention creates a simplified measurement system that copies only the essential measurement functionality from spectrometers. By using a color sensor with at least six response channels instead of full spectral measurement, the system becomes easier to operate while maintaining sufficient precision for intelligent illumination applications
3Device complexity
If color sensor with six response channels is used, then device complexity is reduced, but measurement precision may deteriorate
Solution Approach 1:
The patent changes the parameters of the measurement system by using a color sensor with at least six response channels instead of a spectrometer with continuous spectral measurement. This parameter change reduces device complexity while the preprocessing operations (normalization and standardization) and model-based approach compensate to maintain acceptable measurement precision
Solution Approach 2:
The patent introduces preprocessing operations (normalization and standardization) and prediction models as intermediaries between the color sensor data and the final light source parameters. These intermediaries compensate for the reduced precision from using fewer response channels, bridging the gap between simplified sensing and accurate measurement
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
This approach provides accurate light source parameter measurement with reduced calculation complexity and resource usage, enabling efficient integration into intelligent illumination systems.
Implementation Method 1
collecting signal values of a light source to be measured from a color sensor
Data Source
AI summary
The examples of the disclosure disclose measurement method and device of light source parameters, an illumination system and a terminal apparatus. The method includes: collecting signal values of a light source to be measured from a color sensor, the color sensor including at least six response channels; preprocessing the signal values that have been collected, the preprocessing including normalization processing and standardization processing; constructing model features according to the signal values that have been preprocessed, and determining a light source type of the light source to be measured according to the model features; inputting the model features and the light source type that has been determined into a color rendering index prediction model to obtain a color rendering index of the light source to be measured.