Outdoor Lighting Edge Nodes Reduce Latency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current outdoor lighting systems for public spaces lack the ability to dynamically respond to various conditions and integrate data from multiple sensors and applications, leading to inefficiencies in resource utilization, high costs, and fragmented solutions, as they typically rely on centralized cloud processing and lack decentralized decision-making capabilities.
Innovation Solution
An outdoor lighting system comprising a network of luminaires connected to street devices, remote processors, secondary processors, and a cloud, enabling dynamic control and data processing at the local level through IP connectivity, allowing for interaction with external communications and sensors, and supporting various functional modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If centralized cloud processing is used for outdoor lighting control, then system management is simplified, but response latency increases and real-time adaptability deteriorates
Solution Approach 1:
The patent segments the centralized cloud processing system into distributed edge computing nodes deployed at strategic locations throughout the outdoor lighting network. Each edge node processes local lighting control decisions independently, reducing reliance on centralized cloud processing and thereby decreasing response latency while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The patent introduces a hierarchical processing dimension by implementing both edge computing nodes for real-time local decisions and centralized cloud infrastructure for long-term management. This multi-dimensional approach allows simultaneous optimization of response time (through edge computing) and system management complexity (through centralized cloud oversight)
2Adaptability or versatility
If multiple sensors and applications are integrated into outdoor lighting systems, then functionality and adaptability improve, but system complexity and cost increase
Solution Approach 1:
The patent implements a universal edge computing platform that can accommodate multiple sensor types and applications through standardized interfaces and protocols. This multi-functional edge node design enables the system to integrate diverse sensors (motion, light, environmental) and applications (security, energy management, public information) without proportionally increasing system complexity, as the edge infrastructure provides a common processing foundation for all functions
3Productivity
If edge computing is deployed in outdoor lighting systems, then real-time processing capability improves, but infrastructure complexity increases
Solution Approach 1:
The patent merges edge computing functionality with existing outdoor lighting infrastructure by integrating computing resources into lighting control units and utilizing existing communication networks. This consolidation approach enables real-time processing capabilities without adding separate, complex infrastructure, as the edge computing functions are combined with already-deployed lighting control systems
Data Source
AI summary
An outdoor lighting system for illumination of an outdoor area, the system configured to provide dynamical control in the outdoor area, the system comprising: a plurality of luminaires configured in the outdoor area; a plurality of street devices connected with the plurality of luminaires; at least one remote processor; at least one secondary processor; a cloud to which the plurality of luminaires and the plurality of street devices are connected; and the at least one remote processor and the at least one secondary processor are connected to the cloud; wherein the plurality of luminaires and the plurality of street devices are controlled in a plurality of functional modes.