DALI Lighting Controller Architecture for Predictive Fixture Management
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Solution Overview
Problem
Commercial facilities face challenges in managing and controlling large numbers of LED lighting fixtures due to the need for efficient power supply and monitoring across vast areas, with existing methods being slow and non-predictive.
Innovation Solution
A system comprising lighting controllers, a database server, and a gateway that powers and controls LED lighting fixtures, stores state and property data, and provides a user interface for accessing and modifying this data, utilizing a digital addressable lighting interface (DALI) bus for control and a separate power bus for power supply.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional lighting control methods are used, then system simplicity is maintained, but management efficiency and responsiveness deteriorate
Solution Approach 1:
The system divides the lighting control into hierarchical segments: central controller for global management, regional controllers for local zones, and individual fixture controllers for specific lights. This segmentation enables efficient management of large-scale facilities while distributing complexity across multiple manageable components rather than requiring a single complex centralized system.
Solution Approach 2:
The patent introduces intermediate controllers that act as mediators between the central management system and individual lighting fixtures. These intermediate controllers buffer and manage communication traffic, enabling efficient system-wide management while shielding the central system from the complexity of individual fixture control.
2Speed
If real-time monitoring and control is implemented, then operational responsiveness is improved, but system complexity and cost increase
Solution Approach 1:
The system pre-configures lighting scenes, schedules, and control parameters in advance. Controllers store pre-programmed lighting scenarios and automatic scheduling rules that execute without real-time intervention, enabling rapid operational responsiveness while reducing the complexity of real-time decision-making and control logic.
Solution Approach 2:
The patent implements feedback mechanisms where controllers continuously monitor lighting system status and automatically adjust operations based on pre-set criteria. This feedback loop enables responsive operational control while maintaining system simplicity through automated rule-based adjustments rather than complex real-time control algorithms.
3Reliability
If comprehensive data storage and analysis is implemented, then predictive maintenance capability is improved, but data management complexity increases
Solution Approach 1:
The patent extracts and separates data management functions from the control logic. A dedicated data management system handles storage, analysis, and processing of lighting operational data, while controllers focus on execution. This separation enables comprehensive data collection for predictive maintenance while reducing overall system complexity by assigning data management to a specialized subsystem.
Solution Approach 2:
The system creates simplified data models and representations of complex lighting system states. Controllers maintain local copies of essential operational parameters and system configurations, enabling predictive maintenance analysis without requiring complex real-time data synchronization across the entire system.
Data Source
AI summary
Systems and methods for illumination power, management and control can include lighting fixtures, lighting controllers, databases, and gateways. The lighting controllers can power the lighting fixtures, control the lighting fixtures, and store fixture state data and controller state data. The lighting controllers can be connected to building mains power (e.g., 240 VAC) and provide DC power to the lighting fixtures. The lighting controllers can read state data from and control the fixtures via a digital interface. The Database server can store user profiles, site profiles, fixture property data, and controller property data. The gateway can read and modify the state data stored by the lighting controllers, and can query the database server for the property data. The gateway can also provide a user interface through which users, based on authorization, can read and write the state data (e.g., fixture on/off) and the property data.