Luminance Control via Trajectory Prediction
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Solution Overview
Problem
Existing lighting control systems are inadequate in providing smooth luminance adjustments, leading to discomfort and limited visibility due to rapid changes in lighting intensity, especially when transitioning between different lit and dark areas, and they are inefficient in energy consumption.
Innovation Solution
A control unit that estimates the trajectory of a target within a space and adjusts luminance based on the adaptability of the target's eyes to changes, using a function rate to gradually change lighting intensity, thereby reducing energy consumption and improving user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If lights are completely turned on or off based on presence detection, then energy consumption is reduced, but visual comfort deteriorates due to rapid luminance changes
Solution Approach 1:
The control unit predicts the user's future position and trajectory in advance, allowing the lighting system to prepare and gradually adjust luminance levels before the user actually reaches different areas. This preliminary action enables smooth transitions that accommodate human visual adaptability while maintaining energy efficiency by only illuminating areas where users are predicted to be.
Solution Approach 2:
The lighting system dynamically adjusts luminance levels based on the user's real-time position, movement speed, and predicted trajectory. Instead of static on/off control, the system continuously modulates light intensity to match the user's visual adaptability requirements, creating a dynamic lighting experience that follows the user through the space.
2Loss of energy
If lights are adjusted after presence detection, then energy consumption is reduced, but response time increases causing delayed lighting adaptation
Solution Approach 1:
By detecting user presence and predicting trajectory in advance, the system prepares lighting adjustments before the user actually needs them. This allows the lighting to be adapted proactively rather than reactively, reducing the perceived response time while maintaining energy efficiency by targeting only predicted user areas.
Solution Approach 2:
The system adds the temporal dimension to lighting control by using trajectory prediction. Instead of responding only to current position, it incorporates future position prediction, allowing lighting adjustments to be staged and timed optimally along the user's predicted path through space.
3Productivity
If rapid luminance changes are implemented, then energy efficiency is improved, but user comfort deteriorates due to eye adaptability limitations
Solution Approach 1:
The system changes the parameter of luminance transition speed based on the user's visual adaptability characteristics. By controlling the rate of luminance change rather than simply the target luminance level, the system accommodates human eye adaptability limitations while still achieving energy efficiency through strategic lighting control along predicted user trajectories.
Solution Approach 2:
The system incorporates feedback regarding user visual adaptability into the lighting control algorithm. By monitoring and responding to the user's position, movement patterns, and inferred visual adaptation needs, the system dynamically adjusts luminance transition rates to maintain comfort while pursuing energy efficiency goals.
Data Source
Figure 1
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AI summary
A control unit for controlling luminance in a space, the control unit being configured to estimate a trajectory of a target relative to the space, and control the luminance in the space based on the estimated trajectory and on a function rate corresponding to an adaptability of the target eye to changes in luminance.