Lighting Fixture Color Temperature Adjustment via Neural Network
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Solution Overview
Problem
Existing lighting systems fail to accurately adjust color temperature based on user preferences and environmental factors, relying solely on user feelings and environment temperature, which is not comprehensive.
Innovation Solution
A lighting system that automatically adjusts color temperature by obtaining light intensity, infrared movement signals, visibility information, human body temperature, and environment temperature data, using a neural network model to determine optimal color temperature parameters and adjust drive currents for multiple light emitting units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color temperature is adjusted manually based on user feelings, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The lighting system automatically adjusts color temperature by detecting environmental parameters (visibility, temperature, light intensity) and using a neural network model to determine optimal settings, eliminating the need for manual user adjustment while achieving precise, objective control based on actual environmental conditions
2Adaptability or versatility
If only environment temperature is used for adjustment, then device complexity is reduced, but adaptability deteriorates
Solution Approach 1:
The system segments the color temperature adjustment process into multiple independent detection components (visibility detection, temperature detection, light intensity detection) that each measure specific environmental parameters, with results integrated through a neural network model to achieve comprehensive environmental adaptation
Solution Approach 2:
The lighting system incorporates multiple detection units that can sense different environmental parameters (visibility, temperature, light intensity), making the system universally adaptable to various environmental conditions beyond just temperature, with a single integrated control mechanism
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 accurately adjusts color temperature to create a preferred lighting environment by compensating with different light sources, extending the adjustment range and ensuring optimal comfort based on various factors.
Implementation Method 1
a lighting system for automatically adjusting a color temperature includes light emitting units, a drive device, and a data acquisition and analysis unit. The number of the light emitting units is at least two. The at least two light emitting units generate light sources with different color temperatures to compensate for each other
Data Source
AI summary
The present invention provides a lighting fixture and lighting system for automatically adjusting a color temperature. The optimal color temperature is obtained by adjusting step by step using the light intensity, the infrared movement signal, the visibility, the human body temperature and the environment temperature. Specifically, the color temperature is compensated for and adjusted by the light sources of at least two light emitting units. In this way, the adjustment range of the color temperature is extended, making it possible to obtain the optimal color temperature.