Method for rapidly detecting state of asphalt pavement

Abstract

A method for rapidly detecting the state of an asphalt pavement comprises the following steps of: step 1, drilling a core of a road to obtain a cylindrical road test piece; 2, carrying out side surface shooting around the cylindrical road test piece by using an region-array camera, performing matching alignment and reconstruction on all photos, carrying out panoramic image synthesis to obtain a composite image, and marking the composite image; 3, recognizing the composite image by adopting an artificial neural network, and optimizing by adopting a Gaussian weight method and a secondary marking method to obtain a recognition result image; 4, carrying out binarization calculation and processing on an identification result image, filling existing cracks and holes, and carrying out particle segmentation on adhesion among aggregate particles; and after the identification result is processed, analyzing the morphological characteristics and spatial position distribution of the aggregate particles in the identification result. According to the method, various parameter performances of the asphalt mixture can be rapidly, accurately and quantitatively analyzed, so that the purpose of rapidly detecting the road state is achieved.

Description

technical field [0001] The invention belongs to the technical field of civil engineering roads, in particular to a method for quickly detecting the state of asphalt pavement. Background technique [0002] The improvement of the country's transportation level is inseparable from the construction of the road network. After the wave of large-scale and large-scale infrastructure construction, the impact of road ownership on detection technology and maintenance technology cannot be underestimated. The quality of road surface engineering and road surface diseases need to be fast and accurate assessment. Using images to judge engineering quality is one of the intuitive and effective methods. Establishing a relationship between visual images and the performance or damage of geotechnical structures has applications in damage detection, condition monitoring, and performance prediction. In the pavement field, image recognition is used as a computer-aided method to improve research and...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for quickly detecting the state of asphalt pavement, so as to solve the problem that the existing common road detection methods proposed in the background technology cannot accurately judge the specific conditions of pavement parameters and defects, and some existing accurate The judgment method is difficult to conduct on-site evaluation