LED Lighting Calibration Using Transform Functions
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Solution Overview
Problem
Conventional LED lighting fixtures require time-consuming and costly manual calibration to achieve precise spectral output, limiting their scalability and responsiveness to user inputs due to variations in LED output characteristics and analog driver settings.
Innovation Solution
A method involving the generation of transform functions based on spectral characteristics measured by a calibrated meter and sensor, allowing the optical system to transform user inputs into control signals for each light source, enabling efficient calibration and operation across a range of inputs without the need for extensive preset values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual calibration using colorimeter and analog driver tuning is performed, then spectral output precision is improved, but calibration time and manufacturing cost increase significantly
Solution Approach 1:
The patent replaces the manual mechanical calibration process (using colorimeters and analog driver tuning) with an automated computational system. The system uses transform functions that mathematically model the relationship between driver settings and spectral output, allowing automatic calculation of optimal drive values without manual measurement and adjustment for each fixture.
Solution Approach 2:
The patent transforms the calibration process from physical parameter adjustment (manual driver tuning) to computational parameter transformation. By pre-calculating transform functions that map desired spectral outputs to required driver settings, the system automatically adjusts parameters based on measured actual output characteristics, eliminating time-consuming manual intervention.
2Manufacturing precision
If manual calibration for each fixture is performed, then spectral consistency is improved, but manufacturing cost and complexity increase
Solution Approach 1:
The patent replaces costly manual calibration operations with an automated computational system. The transform functions are pre-calculated and stored, allowing the system to automatically determine optimal driver settings for each fixture based on its measured characteristics, eliminating the need for expensive manual colorimeter measurements and analog tuning for every single unit.
Solution Approach 2:
The patent creates a computational model (transform function) that copies the essential calibration information for each fixture. Instead of physically adjusting each fixture manually, the system measures key characteristics once, stores them as calibration data, and uses the transform function to reproduce the correct spectral output for any desired setting, reducing per-unit calibration costs.
3Ease of operation
If conventional LED fixtures are used, then basic lighting function is provided, but responsiveness to user inputs and adaptability are limited due to fixed calibration presets
Solution Approach 1:
The patent transforms the static, fixed preset calibration system into a dynamic adaptive system. The transform functions allow the system to calculate optimal driver settings in real-time based on any user-requested spectral output, enabling continuous adaptation rather than being limited to discrete pre-programmed color temperatures or spectral profiles.
Solution Approach 2:
The patent enables dynamic parameter adjustment by using transform functions that can compute driver settings for any desired spectral output within the LED's capabilities. This allows the system to adapt to various user inputs and application requirements by mathematically transforming the desired spectral characteristics into appropriate drive values, rather than being constrained to fixed presets.
Data Source
AI summary
Disclosed examples of optical systems having a plurality of light sources with each source having a different spectral outputs may be calibrated by measuring a spectral characteristic of the combined light with two measurements, e.g., one from a colorimeter and one from a sensor included in the system. Accordingly, one can determine a transform function in response to the two measures that models a feedback response of the optical system for each of a plurality of the inputs that would cause the optical system to generate radiant energy within a predetermined range of a spectrum. In order to calibrate the optical system, the transform function is programmed in the optical system to enable the optical system to transform an input to the optical system to a plurality of unique control signals each for controlling a respective light source of the plurality of light sources.