Adaptive Lighting System Using Inverse Square Law for Targeted Illumination
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Solution Overview
Problem
Conventional lighting systems consume excessive power and fail to provide targeted illumination, as they do not adapt efficiently to user preferences or changes in lighting needs, such as movement within a space.
Innovation Solution
A lighting system utilizing light-emitting diodes (LEDs), sensors, and processors to optimize illumination based on user preferences, employing methods like infrared irradiance measurement, high-frequency carrier waves, and light map superposition to adjust light sources in real-time, reducing computational complexity through the inverse square law for dynamic adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional lighting systems illuminate the entire room uniformly, then all areas are adequately lit, but power consumption is excessive
Solution Approach 1:
The patent implements targeted illumination by selectively activating only those light sources that are relevant to the user's current location and orientation. The system determines which light sources contribute to illuminating the area the user is viewing or interacting with, and adjusts or disables other light sources accordingly. This local quality approach ensures that illumination is concentrated where needed rather than distributed uniformly throughout the entire space, thereby reducing overall power consumption while maintaining adequate lighting in the user's field of view.
2Use of energy by moving object
If the system adjusts light sources dynamically to optimize efficacy, then power consumption is reduced, but computational complexity increases
Solution Approach 1:
The patent pre-calculates and stores light maps for each light source showing its contribution to illuminating different areas of the scene. These light maps are generated in advance and stored for later use. When the user moves or changes orientation, the system quickly determines the optimal lighting configuration by referencing these pre-computed light maps rather than performing complex real-time calculations. This preliminary action significantly reduces the computational burden during dynamic adjustments while still achieving effective optimization of power consumption.
3Adaptability or versatility
If the system uses multiple light sources with different characteristics, then optimization of efficacy and CRI is improved, but device complexity increases
Solution Approach 1:
The patent divides the lighting system into multiple independent light source segments, each with its own characteristics (LEDs, fluorescent, incandescent). The system independently controls each light source based on its specific properties and contribution to the overall illumination. This segmentation allows the system to optimize efficacy by selecting from different light source types based on their energy efficiency characteristics, while also maintaining color rendition by incorporating incandescent or fluorescent sources when appropriate. The modular segmented approach manages complexity by treating each light source as an independent controllable unit rather than a monolithic system.
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
The system significantly reduces power consumption by providing targeted and adaptive illumination, optimizing parameters like efficacy and color rendition index, while ensuring real-time responsiveness to user movements and preferences.
Implementation Method 1
measuring infrared (IR) irradiance and using that measurement to estimate visible light illuminance
Implementation Method 2
calculating attenuation (by comparing that measurement to a reference value for incident intensity at a known distance from the light source), and using the inverse square law to calculate changes in constraints
Data Source
AI summary
In illustrative implementations of this invention, a lighting system comprises a plurality of LEDs, fluorescent lights, incandescent lights, a processor, a sensor node and a human-computer interface. The sensor is adapted to be moved by a user and placed in the location that a user wants to illumine. The LED lights are adapted to emit pulse-width modulated (PWM) light, controlled by signals from the processor. The lighting system is adapted to optimize parameters (such as efficacy or color rendering index) selected by the user, subject to certain constraints (such as desired illuminance or color temperature). According to principles of this invention, if a sensor is moved, attenuation may be measured and the inverse square law may be used to determine how constraints in an optimization algorithm need to be updated.


