Lighting Device Usage Data Processing Module
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Solution Overview
Problem
Lighting systems struggle to accurately render light scenes created by one user on different lighting systems due to variations in devices, capabilities, and usage modes, leading to complexity and suboptimal light output.
Innovation Solution
A processing module that receives usage data to determine a lighting device settings profile, allowing for automatic adjustment of light attributes such as color, intensity, and mode of use, ensuring optimal light output for predefined or automatically created light scenes, tailored to specific users and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If light scenes are created by one user for a particular lighting system, then the light scene can be customized for that specific system, but the light scene cannot be accurately rendered on different lighting systems due to variations in devices, capabilities, and locations
Solution Approach 1:
The patent creates a digital twin or virtual model of the physical lighting system that captures the spatial relationships, device capabilities, and operational parameters. This virtual model allows light scenes to be designed and simulated before deployment, enabling accurate rendering across different lighting systems without manually adjusting each individual LED source.
Solution Approach 2:
The patent develops a universal control framework that can manage diverse lighting devices with different capabilities through a common interface and standardized parameter set. This allows a single light scene design to be adapted and rendered across multiple lighting systems with varying configurations, eliminating the need for system-specific customization.
2Adaptability or versatility
If individual LED light sources are controlled to create dynamic light scenes, then customized lighting effects can be achieved, but the complexity increases significantly for users
Solution Approach 1:
The system automatically performs tasks such as device discovery, capability assessment, spatial mapping, and scene optimization without requiring user intervention. The virtual model self-updates based on actual device performance and environmental conditions, enabling dynamic light scenes to be created and adjusted automatically while maintaining high customization capability.
3Adaptability or versatility
If light scenes are shared between users with different lighting systems, then community collaboration is enabled, but the light scenes may not render as intended due to different device configurations
Solution Approach 1:
The patent transforms light scene definitions from device-specific control parameters to abstract spatial and temporal patterns that are independent of specific hardware configurations. When a light scene is shared, the virtual model automatically adapts the parameters to match the target system's capabilities, ensuring the scene renders as intended while accommodating different device configurations.
Data Source
Figure 1
Figure 2~3
AI summary
A processing module (20) is disclosed, which is configured to receive usage data for at least one lighting device (11-15) and on basis of the usage data determine a lighting device settings profile for the at least one lighting device (11-15).