Image Interpretation Method of Road Subsidence Disease Based on Asphalt Mixture Dielectric Model

Abstract

The invention discloses a road subsidence disease image interpretation method based on an asphalt mixture dielectric model, comprising: S1, obtaining a two-dimensional cross-sectional view of the road through a ground-penetrating radar detection device for the road; and extracting the relative dielectric constant of the deep structure of the road data; S2. Draw the road relative permittivity data map; S3. Divide the range of relative permittivity difference at the same depth, and use 0 / 1 / 2 to characterize them respectively; S4. Analyze the cause of road disease and determine the 0 value of subsidence disease / 1 / 2 simulation map characteristics; S5, analyze the fluctuation trend of the relative permittivity of the road under the same depth condition, and draw the 0 / 1 / 2 simulation map of the road; S6, find the 0 / 1 / 2 that satisfies the fluctuation characteristics of the relative permittivity of the road subsidence disease 1 / 2 of the simulated map area to get the affected area of ​​the settlement disease. The invention can accurately, quickly and non-destructively identify the position and range information of the disease in the two-dimensional cross-sectional view of the road, reflects the operation quality of the deep structure of the road, and provides a basis for the intelligent identification of the road disease by the ground-penetrating radar non-destructive detection technology.

Description

technical field [0001] The invention relates to the field of road engineering, in particular to a road subsidence disease image interpretation method based on a dielectric model of asphalt mixture. Background technique [0002] Ground-penetrating radar detection technology is an ultra-high-frequency electromagnetic wave emission, reception and analysis technology. It uses the reflection phenomenon of electromagnetic waves on the interface of different media to continuously scan the target to determine its internal structure and position. Electromagnetic detection technology. Since the electromagnetic wave will reflect at the interface of the underground medium, by analyzing the waveform characteristics of the electromagnetic wave reflected by the interface of the underground medium, the spatial position of the underground target, the characteristic information such as the composition material, etc. can be obtained. In recent years, this technology has been widely used in man...

AI Technical Summary

Problems solved by technology

[0004] In the current research on radar two-dimensional profiles of road disease areas, researchers mainly start from the radar image features of disease areas and propose methods for disease interpretation and identification. However, due to the variety of images, the above research is only feasible for specific radar images. Moreover, the results are often seriously interfered by the interpreter's subjective factors, and the interpretation method cannot be widely used.

Therefore, in view of the limitations of current road radar disease area identification and the shortcomings of subjective differences

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