Lighting Control Scene-Based Timeout Adjustment
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Solution Overview
Problem
Conventional lighting systems rely on manually set or self-learning methods for determining the timeout duration of presence sensors, which can lead to inefficient energy consumption and user annoyance due to the lack of consideration for the specific activity type in a room, as indicated by the selected lighting scene.
Innovation Solution
The system infers the activity type from the selected lighting scene and adjusts the timeout duration accordingly, using presence sensors to switch luminaires to a low-power mode when no presence indicators are detected for the determined duration, incorporating additional information such as user-defined activities, area type, and time of day.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If manually set or self-learning methods are used for determining timeout duration, then the system is simple to operate, but energy consumption is inefficient and user experience deteriorates
Solution Approach 1:
The system automatically determines timeout duration by inferring activity type from lighting scene selection, eliminating the need for manual configuration. The presence sensor and controller work autonomously to monitor lighting state and adjust timeout settings based on inferred user activity, reducing both manual intervention and energy waste.
Solution Approach 2:
The timeout duration parameter is dynamically adjusted based on the inferred activity type. Different lighting scenes (e.g., workout, reading, relaxation) map to different timeout durations, allowing the system to adapt the parameter to match actual usage patterns and optimize energy consumption accordingly.
2Ease of operation
If fixed timeout duration is used for all activities, then the system is simple to implement, but it causes user annoyance by turning off lights too soon or too late
Solution Approach 1:
The timeout duration transitions from a fixed value to a dynamic parameter that automatically adjusts based on the detected lighting scene. The system continuously monitors which lighting scene is active and updates the timeout duration accordingly, providing optimal user experience for each activity type without manual intervention.
Solution Approach 2:
The system uses feedback from the lighting scene selection to automatically adjust the timeout duration. By monitoring which lighting scene is currently active and inferring the corresponding activity type, the system receives feedback about user needs and adjusts the timeout setting in real-time to prevent premature or delayed light shutdown.
3Ease of operation
If presence sensors monitor continuously with long timeout, then user convenience is improved, but energy consumption increases
Solution Approach 1:
The timeout parameter is changed dynamically based on the lighting scene being displayed. High-consumption scenes like workouts or reading activities receive longer timeout durations to maintain user convenience, while low-activity scenes use shorter timeouts to reduce sensor energy consumption and lighting power usage.
Data Source
AI summary
A method of controlling one or more luminaires arranged to illuminate an area covered by at least one presence sensor, the method comprising: receiving from a user a selection of a lighting scene to be rendered; controlling at least one of the luminaires to render the selected lighting scene; determining a timeout duration for the luminaires based on the selected lighting scene; using the at least one presence sensor to monitor the area for presence indicators when rendering the selected lighting scene; and automatically switching the luminaires to a low-power mode if no presence indicator is detected in the area for the determined timeout duration when rendering the selected lighting scene.