LED Fixture Configuration Without Lenses for Target Irradiance
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Solution Overview
Problem
Existing LED light fixtures require additional optical elements like lenses and filters to achieve desired spectral and spatial emission patterns, increasing manufacturing complexity and cost.
Innovation Solution
A computer-implemented method using a genetic algorithm to optimize the configuration of LEDs, including their number, type, position, and current intensity, without the need for additional optical elements, by selecting from a predefined LED database to achieve a desired irradiance curve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If additional optical elements (lenses, filters) are added to control emission patterns, then spectral and spatial characteristics are improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent extracts and removes the additional optical elements (lenses, filters, diffusers) from the light fixture system. Instead of using these separate components to control emission patterns, the invention achieves the same functionality by optimizing the configuration of LEDs themselves - their positions, types, and current intensities - thereby eliminating the need for complex optical assemblies and simplifying manufacturing
Solution Approach 2:
The patent makes the LED array perform multiple functions that previously required separate optical components. By adjusting LED positions, types, and current intensities, the same LED fixtures can achieve different spectral distributions and spatial emission patterns, making the system universally adaptable without adding specialized optical elements for each application
2Illumination intensity
If additional optical elements (lenses, filters) are added to control emission patterns, then spectral and spatial characteristics are improved, but manufacturing cost increases
Solution Approach 1:
The patent extracts and removes the additional optical elements (lenses, filters, diffusers) from the light fixture system. Instead of using these separate components to control emission patterns, the invention achieves the same functionality by optimizing the configuration of LEDs themselves - their positions, types, and current intensities - thereby eliminating the need for complex optical assemblies and simplifying manufacturing
Solution Approach 2:
The patent replaces expensive, complex optical elements with simpler, more economical LED components. By using commercially available LEDs in optimized configurations, the invention achieves comparable or superior performance at lower cost, making the system more economically viable for various applications
3Manufacturing precision
If the number of LEDs and their configurations are optimized using genetic algorithms, then irradiance curve precision is improved, but computational time increases
Solution Approach 1:
The patent performs preliminary actions by pre-characterizing available LEDs (their spectral and spatial emission properties) and storing this data in a database. During the optimization process, this pre-prepared information is quickly retrieved and used by the genetic algorithm, avoiding the need for time-consuming real-time calculations and accelerating the design process while maintaining precision
Solution Approach 2:
The patent implements feedback mechanisms where the genetic algorithm iteratively evaluates LED configurations, compares the resulting irradiance curves with target curves, and uses this feedback to guide subsequent optimization iterations. This feedback-driven approach efficiently converges to optimal solutions with high precision while minimizing unnecessary computational steps
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
Simplifies the manufacturing process and enhances versatility by achieving a desired irradiance curve with spatial homogeneity using only commercially available LEDs, reducing complexity and cost.
Implementation Method 1
light fixtures formed by LEDs that are used for illumination
Implementation Method 2
the type, position and intensity of current that passes through the LEDs that make it up
Data Source
Figure 1~2
Figure 3~4
Figure 5a~6
AI summary
The invention discloses a computer-implemented method for determining the optimal configuration of a light fixture (1) formed by LEDs (2), It aims to obtain a desired spectral irradiance curve over an area to be irradiated (3), where the light fixture (1) lacks additional optical elements to its own LEDs (2). This method comprises: building an objective function that calculates a spectral irradiance curve at various points of the area to be irradiated (3) corresponding to a specific configuration of said light fixture (1); applying a genetic algorithm to optimize the objective function with the aim of fulfilling objectives, using only LEDs (2) from a default led (2) database; and obtaining the optimal configuration of the light fixture (1), which includes the optimal total number of LEDs in the light fixture, as well as the type, position and current intensity passing through the same for each of said LEDs (2).