Porous asphalt pavement flying disease detection method based on noise signal identification

Abstract

The invention provides a porous asphalt pavement flying disease detection method based on noise signal identification. The porous asphalt pavement flying disease detection method comprises the following steps: (1) tire / pavement noise signal acquisition: completing acquisition of tire / pavement noise of a porous asphalt pavement to be detected by adopting a close-range method; (2) feature signal extraction: setting an analyzed unit distance length, performing noise reduction processing and spectrum conversion on a noise signal extracted on site, and performing feature extraction on the processednoise signal; and (3) calculating a flying disease detection result: inputting the signal characteristics obtained in the step (2) through a flying damage degree discrimination model to obtain a flying damage percentage and a flying damage degree in a unit distance. According to the porous asphalt pavement flying damage detection method based on noise signal recognition, accurate, rapid and intelligent testing of the porous asphalt pavement flying damage degree is achieved, and a decision basis is provided for selection of the maintenance opportunity and the maintenance technical scheme of the special pavement structure.

Description

technical field [0001] The invention belongs to the field of road engineering, and in particular relates to a detection method for porous asphalt pavement scattering disease based on tire / road surface noise signal recognition. Background technique [0002] The large void structure of porous asphalt pavement realizes the functions of pavement drainage and noise reduction, but correspondingly, this structural feature also makes it prone to specific diseases. The contact area between the aggregate particles of porous asphalt pavement is small, so that the contact force between the particles is large when the load is applied, which leads to the failure of the adhesive force between the aggregate and the asphalt or the fracture of the mortar under the repeated action of the traffic load. The phenomenon of falling off and falling particles of coarse aggregate is caused, which is called "scattering disease". Once a local disease occurs on the porous asphalt pavement, the subsequen...

AI Technical Summary

Problems solved by technology

At present, there is still a lack of effective methods at home and abroad for automatic detection of the on-site scattering of porous asphalt pavement and identification of the degree of scattering disease, which is basically based on manual judgment, or analysis and research from the perspective of appearance changes

Since the damage is mainly caused by the change of the three-dimensional structure of the surface caused by the shedding of aggregates, it is still difficult to judge this form of disease with the two-dimensional imaging equipment and evaluation indicators commonly used in pavement inspection.

However, due to the large amount of data, slow processing speed and high requirements for recognition accuracy, technologies such as 3D laser cannot realize continuous and rapid detection in the true sense, and the accuracy of recognition needs to be investigated.

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