Lighting Control Commissioning With Automated Luminaire-Sensor Pairing
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Solution Overview
Problem
The commissioning of networked lighting systems is labor-intensive, complex, and error-prone, especially in large buildings, requiring manual identification of luminaires and prone to data input mistakes, which increases with the number of luminaires and complexity of the system.
Innovation Solution
A system and method that includes a lighting array with a controller operating in pre-commissioning and commissioning modes, where luminaires are matched with sensors in pre-commissioning and their locations determined in commissioning, allowing for efficient and simplified commissioning by minimally trained personnel with minimal human intervention, using techniques like dimming cycles and automated path navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual commissioning techniques are used, then each luminaire can be individually identified and assigned, but the process becomes labor-intensive, time-consuming, and error-prone
Solution Approach 1:
The system enables self-commissioning where luminaires automatically identify themselves and their locations without requiring manual intervention. The automated commissioning system captures images of luminaires, extracts visual features, and automatically matches them with sensor data to assign locations and network addresses, eliminating the need for technicians to manually locate and record each luminaire.
Solution Approach 2:
The patent replaces manual mechanical processes (technicians physically locating and recording luminaires) with automated optical and computational processes. The system uses cameras to capture images of luminaires, processes these images through computer vision algorithms, and automatically extracts location information, substituting human labor with automated technological systems.
2Adaptability or versatility
If the number of luminaires increases, then the lighting system becomes more sophisticated and functional, but the commissioning process becomes more complex and difficult to manage
Solution Approach 1:
The commissioning process is segmented into distinct automated stages: image capture, feature extraction, data matching, and assignment. This segmentation allows the system to handle large numbers of luminaires systematically through automated processing steps rather than manual coordination, reducing the perceived complexity despite increased system functionality.
Solution Approach 2:
The system creates a digital copy or representation of the physical lighting system through captured images and extracted features. This digital model allows the commissioning system to work with virtual representations of luminaires and their locations, simplifying the commissioning process even as the physical system becomes more complex and expansive.
3Productivity
If automated commissioning is implemented, then commissioning speed and efficiency improve, but system complexity and initial setup requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring the automated commissioning software and hardware before actual commissioning begins. Camera systems are pre-positioned, detection algorithms are pre-trained, and data processing pipelines are pre-established, so that when commissioning starts, the system can immediately begin automated operation without complex real-time setup requirements.
Data Source
AI summary
A lighting system according to various embodiments includes a lighting array having a plurality of luminaires and a plurality of sensors. The lighting system also includes a controller configured to operate in at least one from the group including (i) pre commissioning mode and (ii) a commissioning mode. The pre-commissioning mode matches one of the luminaires with a corresponding one of the sensors to create luminaire-sensor pairs and the commissioning mode determines a location of each of the luminaire-sensor pairs.