Networked Lighting Addressing via Image Sensor Mapping
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Solution Overview
Problem
Networked lighting systems face challenges in efficiently addressing and maintaining luminaires, as initial addresses are random, leading to manual intervention and productivity losses, especially when multiple ballasts need replacement, causing scene and group settings to become invalid.
Innovation Solution
A controller system utilizing an image sensor to create a lighting map based on luminaire positions, allowing for automatic address assignment and detection of failures, reducing manual intervention and improving maintenance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual addressing of luminaires is performed to match lighting plans, then address accuracy is improved, but installation time and labor cost increase
Solution Approach 1:
The patent replaces manual mechanical addressing with an automated optical system. An image sensor captures images of luminaires, and a controller automatically extracts address information from these images, eliminating the need for manual reading and entry of address labels while maintaining high accuracy through automated image processing and recognition algorithms
Solution Approach 2:
The system enables luminaires to self-address by automatically capturing their own address information through image sensors. Each luminaire's address is extracted from images taken by the system's camera, allowing the luminaire to automatically register its identity and location without human intervention, thus reducing installation time while maintaining accuracy
2Productivity
If multiple ballasts are replaced simultaneously, then maintenance efficiency is improved, but system reliability deteriorates due to invalid scene and group settings
Solution Approach 1:
The system implements automatic feedback mechanisms where the controller continuously monitors luminaire addresses and automatically updates scene and group settings after ballast replacements. This feedback loop ensures that even when multiple ballasts are replaced simultaneously, the system automatically detects address changes and recalibrates control settings, maintaining reliability while allowing efficient bulk replacement operations
Solution Approach 2:
The system performs preliminary automatic recording and mapping of luminaire addresses and their corresponding scene/group settings before replacements occur. When multiple ballasts are replaced, the controller refers to these pre-established mappings to automatically restore correct address associations, enabling maintenance personnel to replace multiple ballasts simultaneously without worrying about setting validation
3Device complexity
If random addresses are assigned to nodes, then system complexity is reduced, but ease of operation deteriorates due to inability to correlate physical location with address
Solution Approach 1:
The patent introduces a spatial dimension to the addressing system by using image sensors to capture the physical location and visual appearance of luminaires. The controller creates a mapping between the visual/spatial domain (image coordinates, physical position) and the logical address domain, allowing operators to easily locate and control specific luminaires by their physical position while maintaining the simplicity of random address assignment in the background
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables convenient control and efficient maintenance by automatically assigning addresses based on luminaire positions, reducing time and effort in luminaire replacement and maintenance, and ensuring accurate lighting plans.
Implementation Method 1
An image sensor can be a camera, or a number of cameras, that can capture a lighting effect and/or lighting impact of each particular luminaire
Data Source
AI summary
Systems, methods, and devices for a networked lighting system are described herein. One system includes a controller for a networked lighting system, comprising, a memory and a processor configured to execute executable instructions stored in the memory to receive, from an image sensor, positions of a number of luminaires in a networked lighting system of a building. The controller further configured to create a lighting map of the networked lighting system based on the received number of luminaire positions and change an address assigned to at least one of the number of luminaires based on the lighting map.