Centralized Lighting Control System for Distributed Sites
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Solution Overview
Problem
Managing exterior lights across distributed sites is challenging due to varying operational conditions and external factors, making it difficult to optimize and ensure efficient operation, especially as the scale of operation increases.
Innovation Solution
A lighting control system that connects multiple sites, processes data to identify deviations and causes, and optimizes operations by determining and implementing resolutions to improve efficiency and reduce dependencies on expert resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If exterior lights are managed at each distributed site independently with different service windows and transitions, then local operational flexibility is improved, but overall system management complexity increases
Solution Approach 1:
The patent consolidates management of exterior lights across multiple distributed sites into a single centralized control system. The lighting control system receives data from all sites, processes deviations uniformly, and applies optimization logic across the entire network, merging what would otherwise be separate management operations into one coordinated system.
Solution Approach 2:
The centralized lighting control system performs multiple functions: collecting data from diverse sites, processing different types of deviations (schedule, transition, service window), identifying causes across various scenarios, and implementing optimizations universally across all sites. This multi-functional approach handles the complexity of managing lights at 50+ distributed locations through a single versatile system.
2Adaptability or versatility
If manual interventions and overrides are allowed for exterior light operations, then operational adaptability to local conditions is improved, but system reliability and consistency deteriorate
Solution Approach 1:
The system continuously monitors exterior light operations at all distributed sites and automatically detects deviations from optimal performance. When deviations are identified (such as lights operating outside scheduled windows or during transitions), the system provides feedback by identifying causes and implementing corrections, creating a closed-loop control system that maintains reliability while allowing necessary adaptability.
Solution Approach 2:
The lighting control system proactively identifies potential deviations and implements corrective actions before they become problematic. By monitoring operations continuously and detecting early signs of suboptimal performance (such as premature light shutdowns or delayed transitions), the system takes preliminary corrective action to maintain reliable operation across all sites.
3Measurement precision
If detailed monitoring and analysis of deviations is implemented, then optimization accuracy is improved, but computational processing requirements increase
Solution Approach 1:
The system extracts only the critical information needed for optimization from the vast amount of data collected at distributed sites. Rather than processing every detail of light operation, the system identifies and focuses on key deviation parameters (schedule deviations, transition timing, service window violations) and their causes, extracting only the essential data points required for accurate optimization while reducing computational burden.
Solution Approach 2:
The lighting control system implements comprehensive monitoring across all sites but applies optimized processing only where deviations are detected. The system processes data in batches and focuses computational resources on analyzing and correcting actual deviations rather than continuously processing all operational data, achieving high optimization accuracy while managing computational requirements through selective processing.
Data Source
AI summary
The present disclosure relates to a method and system for optimizing operations of the exterior lights for a site of a plurality of distributed sites. The operations of the exterior lights are optimized by the lighting control system, which receive data associated with lights from at least one site of the plurality of distributed sites, wherein the data is one of exterior light data or combination of exterior and interior light data. Further, the data received from at least one site is processed in a pre-defined format to identify the current logic and the optimum logic of operation of the exterior lights. The method further identifies one or more deviations and the causes of the deviations in the operation of exterior lights to optimize the operation of the exterior lights.