Wireless Luminaire Grouping via Occupancy-Based Dependency Analysis
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Solution Overview
Problem
Existing lighting systems require manual configuration of luminaire groups for group-based lighting control, which is labor-intensive and prone to errors, especially in large systems.
Innovation Solution
A lighting system with a control entity and luminaires that automatically or semi-automatically determine luminaire groups based on occupancy data and operational dependencies, using preprogrammed logic and relationship strength values to adjust light output and control interactions among luminaires.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual configuration of luminaire groups is performed, then lighting control functionality is achieved, but installation time and labor cost increase significantly
Solution Approach 1:
The luminaire automatically determines its own group memberships by analyzing operational dependencies from status indications received from other luminaires. The adaptation portion computes relationship strength values and derives luminaire group information without external intervention, enabling self-configuration upon powering on.
Solution Approach 2:
The system performs preliminary analysis of operational dependencies during an initial period after powering on, before finalizing luminaire group configurations. Status indications are collected and relationship strength values are computed in advance to establish optimal group memberships.
2Reliability
If manual configuration of luminaire groups is performed, then lighting control functionality is achieved, but error rate increases
Solution Approach 1:
The luminaire continuously monitors status indications from other luminaires and uses this feedback to dynamically adjust group memberships. The system evaluates relationship strength values based on observed operational patterns, ensuring accurate grouping that reflects actual system behavior rather than static manual configuration.
3Measurement precision
If relationship strength computation is performed continuously, then grouping accuracy improves, but energy consumption increases
Solution Approach 1:
The adaptation portion computes relationship strength values periodically or at specific intervals rather than continuously. The system analyzes accumulated status indications over time periods and updates luminaire group memberships at discrete moments, reducing computational energy consumption while maintaining accurate grouping.
Data Source
AI summary
A method in a lighting system includes a lighting system control entity and a plurality of luminaires wirelessly coupled to the lighting system control entity. The method includes controlling light output of a respective luminaire in accordance with a preprogrammed lighting control logic that defines switching on the light output in response to detecting occupancy at the respective luminaire, transmitting status indications to and receiving status indications from other luminaires, deriving relationship data including relationship strength values, each pertaining to a particular luminaire and being descriptive of an extent of regularity at which reception of a status indication that indicates an occurrence of a given event pertaining to the particular luminaire is followed by detecting occupancy at the respective luminaire, and transmitting the relationship data to the lighting system control entity. The method includes controlling an aspect of operational dependencies among the luminaires in accordance with the relationship data.