Automated Lighting Commissioning via Sensor Graph Matching
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Solution Overview
Problem
Automated lighting control systems are difficult to design and commission, with high installation costs and a time-consuming process, making it challenging to implement energy-efficient lighting solutions.
Innovation Solution
A method and system that uses sensor units to generate graphs representing light locations and distances, allowing for automatic commissioning of lighting controls by matching sensor graphs with floor plan graphs, thereby determining the location of each fixture with a confidence level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If automated lighting control systems are implemented, then energy efficiency is improved, but installation complexity and commissioning time increase
Solution Approach 1:
The lighting control system performs self-commissioning by automatically generating a sensor graph from sensed signals, matching it with a floor plan graph, and determining fixture locations without manual intervention. This eliminates the need for complex manual commissioning processes while maintaining energy efficiency benefits.
Solution Approach 2:
The system changes the state of commissioning from manual configuration to automated determination by using sensed signals to generate spatial relationships. The controller automatically processes sensor data to establish fixture locations and operational parameters, transforming a complex manual process into an automated parameter-setting operation.
2Measurement precision
If manual commissioning processes are used, then system accuracy is maintained, but time consumption and installation costs increase
Solution Approach 1:
The patent replaces manual mechanical commissioning processes with an automated electronic system. The controller uses sensed signals to automatically generate the sensor graph and determine fixture locations, substituting human operators with automated computational processes that achieve comparable or superior accuracy while dramatically reducing time consumption.
Solution Approach 2:
The system creates a digital representation (sensor graph) that copies the physical spatial relationships between lighting fixtures and sensors. This graphical model allows automated processing and matching with floor plans, enabling accurate location determination without manual measurement and documentation processes.
3Extent of automation
If sensor graphs are generated and matched with floor plan graphs, then automatic commissioning is achieved, but system complexity increases
Solution Approach 1:
The commissioning process is segmented into distinct modular steps: generating the sensor graph from sensed signals, creating the floor plan graph, matching the two graphs, and determining fixture locations. This segmentation allows each step to be handled independently by the controller, automating the overall process while managing complexity through modular processing.
Solution Approach 2:
The sensor graph and floor plan graph serve as intermediary representations that bridge the physical lighting system and the control system. These graphical models allow automated matching and comparison, enabling the controller to determine fixture locations without direct manual intervention, thus achieving automation while managing complexity through intermediate data structures.
Data Source
AI summary
Apparatuses, methods, and systems for automatically commissioning lighting controls using sensing parameters of the light controls are disclosed. One embodiment includes a building control system. The building control system includes a plurality of sensors, a plurality of lights associated with the plurality of sensors, and a controller. The controller is operative to receive sense signals from the plurality of sensors, and generate a graph based on the sensed signals, wherein the graph includes nodes that represent light locations, and edges that represent distances between the lights. For an embodiment, the controller further operative to performing inexact graph matching between a floor plan graph and the sensor graph, thereby automatically commissioning the plurality of lights based on the sensed signals of the plurality of sensors.