Pavement reflection coefficient detection device and method in hazy weather

Abstract

The invention discloses a pavement reflection coefficient detection device and method in hazy weather. The device comprises a controller, a fog environment module and a detection module, wherein the fog environment module comprises an aerosol generating device, an aerosol mixing device, an aerosol spraying device, an air inlet cover, a laser particle size analyzer, a flow equalizing plate and a panel fan; the detection module comprises an optical darkroom, and a sample bearing part, an illumination providing part and a brightness detecting part which are arranged in the optical darkroom; the illumination providing part and the brightness detecting part are respectively arranged on two sides of the sample bearing part; a pavement sample to be detected is placed on the sample bearing part; the illumination providing part can provide detection angles of 0-360 degrees in the horizontal direction and 0-90 degrees in the vertical direction; and the brightness detecting part is used for detecting the brightness of the road surface at different angles. The particle size, the components and the uniformity of fog can be accurately simulated, and the problem that the existing road surface brightness reflection coefficient detection angle is less is effectively solved.

Description

technical field [0001] The invention relates to a detection technology of road surface brightness reflection coefficient, in particular to a detection device and method for road surface reflection coefficient in haze weather. [0002] technical background [0003] The reflection coefficient of road surface brightness is an important characterization of road surface reflection ability, which is of great significance to the accurate calculation of road surface brightness. For dry road surfaces, the average brightness coefficient Q can be used 0 And the specular factor S1 is used as the main technical index to evaluate the reflective performance of the road surface. According to the definition of CIE (International Commission on Illumination), Q 0 It is obtained by integrating the brightness and illuminance ratio of each point on the road surface within the range of 60-160m in front of the driver (α=1°). S1 refers to two specific incident angles (tanγ =2 and tanγ=0) the brigh...

AI Technical Summary

Problems solved by technology

However, in the existing technical means, fog is often generated through humidifiers, and the control of fog concentration and uniformity is not good, and the collimation of the light source in the detection of road surface reflectance is poor, and the total reflection of the edge of the traditional TIR lens will cause uneven illumination of the spot. Uniform, there are technical defects such as large reflection coefficient detection error

[0006] Application number: CN201922069213.0 discloses a salt mist aerosol spray system that can create fog environments of different volumes, but it cannot guarantee the uniformity of the fog, and the sealing is strong, so it is difficult to control the change of the fog concentration

Application number: CN201911292138.2 The disclosed multi-layer sea fog environment simulation method only simply layers the fog, cannot simulate the fluidity of the fog, and is difficult to control the particle size of the fog

In addition, the application number: CN201310361662.7 discloses a device for measuring the brightness coefficient distribution of road pavement materials. This device can only detect the reflection coefficient of dry pavement samples, and cannot obtain the road surface reflection coefficient in haze weather. The detection needs to detect the brightness of the road surface under the incident light at different angles, and the light other than the incident light at the detected angle is stray light.

The light source used is poor in collimation, and the result error of the detected road surface reflection coefficient is relatively large

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