Visual Efficacy Measurement for Tunnel Lighting Safety
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Solution Overview
Problem
Current methods for evaluating light environmental parameters in road tunnels and night roads lack comprehensive, objective, and simple measures to ensure visual recognition safety, particularly considering physiological and psychological factors of drivers under different light sources.
Innovation Solution
A method involving visual efficacy measurement and color temperature standard determination, which sets and measures light environmental parameters like color temperature, color rendering index, and brightness, using eye movement recording devices to analyze visual recognition times and establish data relation curves, accounting for human circadian rhythms to set guiding standards for safe visual recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive visual efficacy measurement considering physiological and psychological factors is implemented, then measurement precision and reliability are improved, but device complexity and measurement time increase
Solution Approach 1:
The patent segments the visual efficacy measurement into distinct components: color temperature measurement, color rendering index measurement, brightness measurement, and eye movement recording. Each component is measured separately using dedicated devices, allowing comprehensive assessment while maintaining manageable system complexity through modular measurement approaches.
Solution Approach 2:
The patent introduces eye movement recording devices as intermediaries to objectively capture driver visual behavior. These devices serve as mediators between the light environment and the driver's visual response, providing quantifiable data on visual recognition time and eye movement patterns without requiring direct subjective feedback from drivers.
2Measurement precision
If multiple light environmental parameters (color temperature, color rendering index, brightness) are measured and analyzed, then measurement precision is improved, but measurement time and complexity increase
Solution Approach 1:
The patent performs preliminary measurements of color temperature, color rendering index, and brightness before conducting eye movement experiments. This preliminary characterization of the light environment allows for systematic variation of parameters while reducing overall measurement time by preparing reference data in advance.
Solution Approach 2:
The patent systematically varies light environmental parameters (color temperature, color rendering index, brightness) to establish their individual and combined effects on visual efficacy. By changing parameters in a controlled manner and measuring corresponding eye movement responses, the patent efficiently maps the relationship between light conditions and visual recognition performance.
3Measurement precision
If eye movement recording devices are used to track visual recognition, then measurement precision is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The eye movement recording devices operate autonomously to capture and record visual behavior data without requiring continuous manual intervention. The devices automatically track eye positions, calculate visual recognition times, and store results, reducing the operational burden on testers while maintaining high measurement precision.
4Reliability
If visual efficacy measurement considering driver physiological and psychological factors is implemented, then reliability of safety evaluation is improved, but device complexity and measurement complexity increase
Solution Approach 1:
The patent implements feedback loops where eye movement data is continuously monitored and used to adjust or validate light environment settings. The visual recognition results feed back into the evaluation process, allowing iterative optimization of illumination parameters to ensure they meet visual efficacy requirements for driving safety.
Data Source
AI summary
The present invention relates to a visual efficacy measuring method for objects in different light environments, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) a driver visually recognizing a target object; (d) resetting the light environment, and repeating the step (c); (e) processing the visual recognition information data collected by the experiments so as to establish a relationship of the visual recognition time in relation with the light environmental parameters of color temperature, color rendering index and brightness; (f) performing visual efficacy analysis according to the processing results of the visual recognition information data. The present invention also provides a color temperature standard determining method for a tunnel middle section in day time, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) selecting a stably distributed color temperature segment; (d) determining the color temperature standard. The method of the present invention performs visual efficacy analysis of the influence that light environment settings of illumination on a night road or in a tunnel middle section have on drivers' visual recognition activity, thereby providing a good guiding standard for reasonable and efficient setting of color temperature, color rendering index and average brightness of an illumination device.