Intelligent Backlighting for Wall Switch User Guidance
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Solution Overview
Problem
Current lighting control systems lack guidance for users on the next logical action, and existing backlight solutions are either non-adjustable or require expensive sensors to optimize light intensity based on ambient conditions, leading to user frustration and sub-optimal experiences.
Innovation Solution
The implementation of an intelligent backlighting system that uses network controllers, sensors, and lighting control devices to adjust backlight intensity and color based on the current lighting state and sensor data, providing visual cues to guide users to the next logical lighting state through a set of intelligent backlighting rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If status lights are used to indicate current lighting state, then users can understand the status of remote luminaires, but users receive no guidance on what action to take next
Solution Approach 1:
The system provides feedback not only about the current state through status lights but also about the recommended next action through intelligent backlighting. The backlighting system responds to user interactions and environmental conditions, dynamically updating visual cues to guide users through the lighting control process, thereby resolving the information gap about what action to take next.
Solution Approach 2:
The intelligent backlighting system acts as an intermediary between the current lighting state and user decision-making. By analyzing ambient light levels, user interactions, and lighting scenarios, the system generates visual recommendations that bridge the gap between knowing the current state and knowing what action to take, improving ease of operation.
2Illumination intensity
If backlight intensity is increased for readability in ambient light, then button labels become readable, but backlight becomes excessive in low light conditions
Solution Approach 1:
The backlighting system dynamically adjusts its intensity based on real-time ambient light conditions detected by sensors, user interactions with the control device, and the current lighting scenario. This dynamic adjustment ensures optimal readability without causing excessive brightness in low light conditions, resolving the contradiction between readability and harmful over-illumination.
Solution Approach 2:
The system changes the illumination parameter (backlight intensity) based on detected ambient light levels, user interaction patterns, and lighting scenarios. By continuously monitoring and adjusting this parameter, the system maintains button label readability while preventing excessive backlighting in low light conditions.
3Adaptability or versatility
If ambient light sensors are used to automatically adjust backlight, then backlight optimization is achieved, but system cost and aesthetic disruption increase
Solution Approach 1:
The system uses existing ambient light sensors that may already be present in the control device or environment, making the existing sensor serve multiple functions. Additionally, the system adapts to different lighting scenarios and user interactions, providing comprehensive backlight optimization without requiring dedicated expensive sensors, thereby reducing device complexity and cost.
Solution Approach 2:
The intelligent backlighting system uses readily available sensor data and user interaction information to automatically optimize backlighting without requiring additional expensive components. The system serves itself by leveraging existing resources and intelligence to achieve adaptability, reducing the need for costly additions to the device.
4Device complexity
If a single compromise backlight level is used, then device simplicity is maintained, but backlight performance is sub-optimal in various lighting conditions
Solution Approach 1:
The system transitions from static compromise backlighting to dynamic adjustment based on ambient light conditions, user interactions, and lighting scenarios. This dynamic approach maintains relative simplicity while dramatically improving adaptability and performance across different lighting conditions, resolving the contradiction between simplicity and versatility.
Data Source
AI summary
A method includes retrieving a current lighting state of at least one luminaire. The lighting state includes light intensity of the at least one luminaire. The method also includes retrieving a sensor state of at least one sensor and determining a next selectable lighting state available for the at least one luminaire and an illumination adjustment for a user interface element of a lighting control device configured to control the luminaire. The determining of the next selectable lighting state available includes comparing the current lighting state and the sensor state to a set of intelligent backlighting rules, and based on the comparison, determining an indicator state corresponding to the illumination adjustment to the user interface element of the lighting control device. The illumination adjustment produces visible output to the user via the user interface element as a visible cue to guide the user to select the next lighting state.