Self-Learning Lighting System with Astronomic Clock and GPS
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Solution Overview
Problem
Conventional intelligent lighting systems require active user reaction to adjustments, which can be intrusive and fail to accurately mimic user behavior over time, especially considering geographical location and seasonal changes in user habits.
Innovation Solution
A self-learning lighting system that uses a control module with an astronomic clock and GPS circuitry to adjust illumination patterns based on physical location and day of the year, incorporating user feedback from manually operated interfaces, occupancy sensors, and light sensors to automate lighting behavior, mimicking user habits and adapting to solar altitude and ambient light.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the lighting system uses automatic adjustment based on user feedback, then the lighting control becomes more automated and adaptive, but the user experience becomes intrusive as users must actively react to system adjustments
Solution Approach 1:
The lighting system learns and adapts to user preferences autonomously by analyzing occupancy patterns, time of day, and seasonal variations. The system automatically adjusts illumination levels and patterns without requiring users to provide active feedback or react to system proposals, thereby achieving automation while eliminating user burden.
Solution Approach 2:
The system incorporates sensors to detect occupancy and environmental conditions, using this feedback to automatically adjust lighting. Instead of requiring user feedback through active interaction, the system passively collects data from sensors and environmental cues to make intelligent lighting adjustments, resolving the contradiction between automation and user burden.
2Adaptability or versatility
If the lighting system learns user behavior over time, then the lighting control becomes more adaptive to user habits, but the system complexity increases due to additional sensors and control mechanisms
Solution Approach 1:
The control unit performs multiple functions: it processes occupancy sensor data, analyzes temporal patterns, determines seasonal variations, and adjusts lighting outputs. By consolidating these diverse functions into a single multi-functional control unit, the system achieves high adaptability without proportionally increasing overall system complexity.
Solution Approach 2:
The patent combines occupancy detection, temporal analysis, and lighting control into an integrated system. The control unit merges multiple processing functions and the occupancy sensor is integrated with the existing lighting infrastructure, achieving behavior adaptation while minimizing the increase in system complexity through consolidation.
3Illumination intensity
If the lighting system accounts for physical location and day of the year, then the illumination pattern becomes more realistic and aligned with natural light cycles, but the energy consumption increases due to continuous monitoring and adjustment
Solution Approach 1:
The system pre-calculates optimal lighting patterns based on stored geographical location data and astronomical tables for different days of the year. By preparing lighting schedules in advance rather than continuously calculating and adjusting in real-time, the system achieves high illumination quality while minimizing continuous energy consumption for computation and adjustment.
Solution Approach 2:
The lighting system adjusts illumination patterns periodically based on predetermined schedules derived from location and date, rather than continuously monitoring and adjusting. This periodic operation, synchronized with natural day-night cycles and seasonal variations, maintains realistic illumination patterns while significantly reducing the energy required for continuous active control.
Data Source
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AI summary
The present invention generally relates to alighting system for illuminating an area, specifically where the lighting system is adapted for automatic control of an illumination pattern based on previous user behavior and dependent on a current sunrise and sunset time at a physical location of the illumination system. The invention also relates to a corresponding method and a computer program product.