Light Sensor Assignment via Luminance Difference Measurement
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Solution Overview
Problem
Existing lighting systems face challenges in accurately and efficiently assigning light sensors to lighting groups, leading to susceptibility to errors and high manual effort, especially in large spaces where optical coupling is suboptimal and subjective, resulting in inefficient energy saving and lighting regulation.
Innovation Solution
A method that involves switching lighting systems into two states to measure luminance differences, allowing for objective selection and assignment of light sensors based on optimal coupling, thereby reducing manual interaction and enhancing the quality of optical coupling between sensors and groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If light sensors are assigned to lighting groups manually during system startup, then the assignment process is simple to implement, but it is susceptible to errors and requires high manual effort especially in large spaces
Solution Approach 1:
The system performs self-assignment of light sensors to lighting groups by automatically measuring luminance values and determining optimal couplings without manual intervention. The control device autonomously evaluates measurement data and assigns sensors based on strongest optical coupling, eliminating human error and reducing manual effort.
Solution Approach 2:
The system uses feedback from luminance measurements to automatically adjust and optimize the assignment of light sensors to lighting groups. By continuously measuring luminance values and evaluating optical couplings, the system refines assignments based on actual performance data rather than manual assumptions.
2Area of stationary object
If light sensors are positioned to cover large spaces, then the coverage area is increased, but the optical coupling between sensors and specific lighting groups becomes suboptimal
Solution Approach 1:
The system changes the parameter of sensor assignment from fixed manual positioning to dynamic optimization based on measured luminance values. By evaluating multiple potential assignments and selecting those with strongest optical coupling, the system maintains measurement precision even when sensors cover large areas.
Solution Approach 2:
The system performs preliminary measurements of luminance values during startup to determine optimal sensor assignments before normal operation begins. This preliminary action ensures that sensors are correctly assigned to lighting groups based on actual optical coupling characteristics, preventing suboptimal assignments from the outset.
3Productivity
If multiple light sensors are assigned to lighting groups based on subjective classification, then the assignment process is quick, but errors in classification lead to inefficient energy saving and lighting regulation
Solution Approach 1:
The system replaces the mechanical/manual process of subjective sensor assignment with an automated optical measurement and evaluation system. By using luminance measurements and algorithmic optimization, the system objectively determines optimal assignments, eliminating classification errors while maintaining quick assignment through automation.
4Device complexity
If manual assignment procedures are used for lighting systems, then device complexity is reduced, but the outlay for startup and configuration is high
Solution Approach 1:
The system performs self-configuration during startup by automatically measuring luminance values and assigning sensors to lighting groups without requiring manual intervention. This self-service capability eliminates time-consuming configuration steps while maintaining simple system structure, as the automation is built into the control device.
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
This method automates the assignment of light sensors, reducing errors and outlay, and optimizes optical coupling, enabling more efficient and adaptive lighting regulation, particularly in complex systems, by quantifying the influence of lighting groups on sensors and selecting those with the best coupling for regulation.
Implementation Method 1
measuring a luminance of light reflected by reference surfaces respectively assigned to light sensors in the space
Implementation Method 2
light sensors detect in each case the light reflected by the corresponding reference surface
Data Source
AI summary
A method for assigning light sensors for regulating a lighting system includes switching the lighting of the lighting system into a first switching state such that a first lighting group emits light with a predetermined luminous flux, switching the lighting of the lighting system into a second switching state such that the first lighting group emits light with a reduced luminous flux by comparison with the predetermined luminous flux or emits no light, and measuring a luminance of the light reflected by a reference surface respectively assigned to the light sensors with the aid of the light sensors to determine a first measurement value in the first switching state and a second measurement value in the second switching state. The method may further include assigning a sensor to the first lighting group based on a comparison of difference values formed for each of the light sensors, and storing the assignment.