研究目的
To develop new, effective tools to support the design and analysis of lighting equipment, focusing on luminance modeling of light sources for simulation and computational purposes of lighting parameters.
研究成果
The modeling results are very precise and offer excellent calculation results, especially for extremely small light sources with high luminance. The method is highly universal and can be used for calculating glare parameters from luminaires with a precisely determined luminance distribution. However, the method's effectiveness is somewhat limited by the computational resources required.
研究不足
The main limitation is the large occupancy of computer memory resources due to the need for many luminance distributions characteristic of many directions in space. Additionally, precision in the design of optical systems requires very accurate positioning of the light source, which can be challenging.
1:Experimental Design and Method Selection:
The study employs advanced luminance modeling methods for light sources, utilizing digital measurements of luminance distributions. It compares the accuracy of simulation calculations of an analytical lighting fixture model with classic ray tracing methods.
2:Sample Selection and Data Sources:
The research uses luminance distributions of real light sources, registered with Imaging Luminance Measuring Devices (ILMD), including high-luminance light sources like LEDs and metal halide lamps.
3:List of Experimental Equipment and Materials:
Digital luminance cameras (ILMD), gray filters for luminance measurements, and simulation software for lighting parameters analysis.
4:Experimental Procedures and Operational Workflow:
The method involves luminance mapping on the geometric model of the light source, using the backward ray tracing method and precise luminance distributions. Measurements are taken with extended exposure time using gray filters to register real luminance values.
5:Data Analysis Methods:
The analysis includes comparing the simulation results with actual luminance distribution measurements to verify the accuracy of the computational methods.
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