Algorithm for detecting structure depth of cement concrete pavement

Abstract

The invention discloses an algorithm for detecting the structure depth of a cement concrete pavement. The algorithm specifically comprises the following steps of: inputting image three-dimensional data matrixes, and filtering the data; sequentially taking the filtered three-dimensional data matrixes, obtaining each-line-corresponding structure depth line by line to obtain the structure depths C1, C2, -, Cm line by line, and averaging the m structure depths to obtain the structure depth of the pavement within an image capturing region. The algorithm disclosed by the invention is simple to compute, is short in running time, and can be carried out without labors. After the surface measurement is adopted, the structure depth of the pavement can be detected only by imputing the acquired three-dimensional data matrixes of the cement concrete pavement, so that the detecting algorithm is high in efficiency, and exact in detection.

Description

technical field [0001] The invention belongs to the field of road engineering, in particular to a detection algorithm for cement concrete pavement structure depth. Background technique [0002] With the increase of traffic volume and the continuous increase of vehicle speed, traffic accidents continue to occur, which makes the anti-skid problem of the road surface more and more prominent. The occurrence of traffic accidents has a great relationship with the skid resistance of the pavement, and there is a good correlation between the average texture of the pavement and the structural depth of the pavement section. Texture depth, also known as texture depth, refers to the average depth of the uneven open pores on a certain area of ​​road surface. The texture depth of the cement concrete surface reflects the macroscopic structure of the cement concrete surface, and is an important index to evaluate the anti-skid and drainage performance of the cement concrete pavement. Genera...

AI Technical Summary

Problems solved by technology

Among them, the artificial sand topping method is inefficient and the test structure is disturbed by many factors, the reproducibility is poor, and it is not easy to measure in wet weather. For roads with long mileage, only certain road sections can be selected for sampling survey, which reduces the impact of test results. Evaluation of the pavement structure depth of the entire road section; the digital image detection method is greatly affected by the light intensity and light angle of the external environment, and the image processing algorithm needs to be further improved; the results obtained by the laser rangefinder are discontinuous and cannot be true Reproduce the microscopic texture features of the road surface, so the error is large

Although the existing structural depth algorithm is simple in calculation and short in running time, it is also suitable for use in real-time systems, but the accuracy of the algorithm is not high enough

In summary, the existing detection technology has problems such as large errors and low efficiency. Therefore, it is very necessary to study a cement concrete pavement structure depth detection device with high degree of automation, convenient operation, high efficiency and high detection accuracy.

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