Networked Lamp Light Emission Prediction
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Solution Overview
Problem
Current lighting systems that follow a person are inefficient in determining which lights to activate, especially in scenarios where pathways are parallel or separated by thin obstacles, leading to unintended activation.
Innovation Solution
A networked lighting system where each lamp adjusts its light emission based on presence detection data from itself and other lamps, using a recurrent neural network to analyze historical patterns and predict a person's movement, allowing for automatic configuration and timely activation of lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lights are activated based on simple proximity detection, then lights turn on quickly, but lights activate incorrectly in parallel pathways or across thin obstacles
Solution Approach 1:
The system performs preliminary analysis of historical presence detection patterns to establish spatial relationships between lamps before actual light activation is needed. This allows the system to predict which lamps a person will likely traverse next, enabling accurate pre-activation without complex real-time detection.
Solution Approach 2:
The system continuously collects presence detection data from multiple lamps and uses this feedback to refine its understanding of spatial relationships and movement patterns. This feedback loop enables the system to improve its prediction accuracy over time while maintaining a relatively simple detection infrastructure.
2Reliability
If a network of lamps shares presence detection data, then light activation accuracy improves, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary analysis of historical presence detection patterns to establish spatial relationships between lamps before actual light activation is needed. This allows the system to predict which lamps a person will likely traverse next, enabling accurate pre-activation without complex real-time detection.
Solution Approach 2:
Each lamp in the network independently processes the shared presence detection data using the same algorithms, allowing the system to scale without requiring a complex centralized processing architecture. The distributed nature of the processing reduces the overall system complexity while maintaining high accuracy.
3Ease of operation
If lights are activated before a person reaches an area, then user experience improves, but energy is wasted if activation is premature
Solution Approach 1:
The system performs preliminary analysis of historical presence detection patterns to establish spatial relationships between lamps before actual light activation is needed. This allows the system to predict which lamps a person will likely traverse next, enabling accurate pre-activation without complex real-time detection.
Solution Approach 2:
The system dynamically adjusts light activation timing based on predicted movement patterns and current presence detection data. This dynamic approach allows the system to optimize the balance between providing timely illumination for user convenience and minimizing energy waste by avoiding premature activation.
Data Source
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AI summary
The invention relates to automatically configuring of a lighting, particularly to creating a lighting, which follows a person, with a networked lighting system. A basic idea of the invention is to configure lighting in a network of lamps in that a lamp of the network adjusts its light emission depending on presence detection in its own direct environment and the presence detected in the environment of other lamps of the network. An embodiment of the invention relates to a system (10) for automatically configuring a lighting, wherein the system comprises - a network of lamps (12), in which every lamp is coupled to a presence detector (14) and can receive signals from other lamps in the network, wherein a received signal indicates an activity detected by the presence detector coupled to the lamp, which transmits the signal, and wherein - every lamp adjusts its light emission depending on the signal received from other lamps and the measurement of its presence detector. The invention allows automatically configuring a lighting with a network of lamps for a certain area in that lights go on before a person gets to a certain area.