Light Sensory Network Planning for Uniform Illumination
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Solution Overview
Problem
Current lighting systems, particularly in outdoor areas like parking lots, face challenges in achieving uniform illumination and efficient power usage, as they often require manual adjustments and lack centralized control, and the integration of sensors and wireless access points is cumbersome without automated techniques for optimal placement and adjustment.
Innovation Solution
A system and method for designing a Light Sensory Network (LSN) that selects, positions, and adjusts luminaires, sensors, and network devices to meet specific illumination and detection requirements, using processor-executable instructions to calculate and visualize illumination, sensor range, and wireless network coverage, allowing for real-time data exchange and optimal equipment placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments are used for lighting systems, then flexibility in illumination control is maintained, but system complexity and power consumption increase
Solution Approach 1:
The system uses sensors to automatically detect ambient light levels and automatically adjusts luminaire output accordingly, eliminating the need for manual adjustments while reducing system complexity through automated control algorithms
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring light levels with sensors and adjusting luminaire output to maintain target illumination levels, replacing manual control with automated feedback-based regulation
2Adaptability or versatility
If sensors and wireless access points are integrated into lighting systems, then functionality is enhanced, but placement and configuration complexity increases
Solution Approach 1:
The system combines sensors, wireless access points, and luminaires into integrated modules that share common mounting structures and power supplies, reducing placement complexity while enhancing functionality through multi-functional components
Solution Approach 2:
The system uses universal mounting interfaces and standardized communication protocols that allow sensors, access points, and luminaires to be deployed together on common infrastructure, simplifying configuration while providing enhanced functionality
3Reliability
If automated techniques are used for optimal equipment placement, then network connectivity and illumination uniformity improve, but calculation and processing requirements increase
Solution Approach 1:
The system performs optimization calculations during the design and planning phase to determine optimal equipment placement before deployment, reducing real-time processing requirements while ensuring reliable network connectivity and uniform illumination
Solution Approach 2:
The system uses simplified approximation algorithms that provide sufficiently optimal placement solutions without requiring exhaustive computational analysis, balancing calculation accuracy with processing power requirements
Data Source
AI summary
A method of determining the position of an array of sensors, an array of solid-state lamps, or other devices which sense or emit electromagnetic waves includes first determining a sensing or emitting distribution for one of the devices, then integrating that distribution over the area to be covered by the sensors or emitters. In response to the integrated distribution, the sensors or emitters may be repositioned, reconfigured, or reoriented to provide desired coverage. Wireless access points that communicate to wireless end points associated with the lights and/or sensors are designed and positioned to provide adequate signal strength. All elements, light distribution, sensor range, and wireless signal strength may be plotted in contour plots within the same user interface that enables users to place the devices in a specified area.