Illumination Controller Priority Metrics Storage
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Solution Overview
Problem
In connected lighting systems, the limited storage capacity in individual luminaires can lead to asynchronous recall of illumination settings, causing undesirable delays and perception of scene changes when settings are not stored locally, especially when multiple luminaires require different parameter updates.
Innovation Solution
An illumination controller determines priority metrics for settings based on usage patterns, data content, and environmental factors to prioritize and pre-store settings likely to be desired, reducing the need for frequent downloads and ensuring synchronous scene changes by intelligently managing storage and distribution of illumination settings across luminaires.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If illumination settings are stored in individual luminaires with limited storage capacity, then local synchronous recall is achieved, but the number of stored settings is limited
Solution Approach 1:
The system performs preliminary action by predicting which illumination settings will be desired based on usage patterns, time of day, and environmental factors, then pre-storing these settings in luminaires before they are actually needed. This ensures synchronous recall when these predicted settings are requested, while optimizing storage utilization across the network.
Solution Approach 2:
The illumination controller automatically manages the storage distribution of settings across luminaires without manual intervention. It monitors usage patterns, determines priority metrics, and autonomously decides which settings to store in which luminaires, allowing the system to self-optimize storage allocation based on actual demand.
2Quantity of substance
If illumination settings are downloaded to luminaires upon user selection, then storage capacity requirements are reduced, but asynchronous recall occurs causing perceptible delays
Solution Approach 1:
Instead of waiting for user selection to download settings, the system performs preliminary action by predicting future usage and pre-loading settings into luminaires in advance. This eliminates the delay between user selection and actual setting application, as the settings are already available locally when needed.
Solution Approach 2:
The system dynamically adjusts which settings are stored in which luminaires based on changing usage patterns, time of day, and environmental conditions. This dynamic allocation ensures that the most likely to be used settings are always available locally, optimizing recall speed while adapting to varying demands.
3Adaptability or versatility
If multiple luminaires receive settings via unicast, then storage flexibility is improved, but transmission time increases causing asynchrony
Solution Approach 1:
The system performs preliminary action by determining the optimal distribution of settings across luminaires in advance, before recall is needed. By analyzing usage patterns and luminaire capabilities, it pre-positions settings in the most efficient locations, so that when recall occurs, the settings are already where they need to be for synchronous application.
Solution Approach 2:
The system uses feedback from monitoring actual recall patterns and transmission performance to continuously optimize the unicast distribution strategy. It learns which luminaires respond fastest, which settings are most frequently recalled together, and adjusts the distribution algorithm accordingly to minimize asynchrony while maintaining storage flexibility.
Data Source
AI summary
A method and apparatus for controlling distribution of illumination information in an illumination system, wherein illumination settings to be sent for storing at one or more luminaires are determined based on one or more priority metrics. Priority metrics may be based on previous usage of an illumination setting, or the content of an illumination setting for example. The determination and sending can be commenced by a trigger such as a time of day or a user input, and evaluation of priority metrics can be performed to so that illumination settings are stored intelligently based on a user profile, preference or schedule.