Real time detection method for digital compaction degree of airport earthwork engineering

In order to ensure the stability of the construction effect, it is extremely necessary to propose accurate detection of compaction information. Therefore, a research on real-time digital compaction detection method for airport earthwork engineering is proposed. After collecting effective digital image information around the target measurement point, the grayscale morphology method is used to enhance the image grayscale, and it is imported into the minimum binomial fitting function to determine the grayscale center. Within the maximum radius range of the grayscale parameter, the specific compaction parameter is calculated based on the pixel value corresponding to one pixel step. In the test results, the error between the detection results of dry density at different measurement points and the actual value is stable within 0.03g/cm3, and the error of compaction detection results is stable within 0.5%.

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Publication Details

Published
2024-09-10
DOI
https://doi.org/10.1117/12.3040668
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Real time detection method for digital compaction degree of airport earthwork engineering

Peng Dai, Liangsui Geng
Simulation and Modeling Applications
article

Real time detection method for digital compaction degree of airport earthwork engineering

Peng Dai, Liangsui Geng
article en

Abstract

In order to ensure the stability of the construction effect, it is extremely necessary to propose accurate detection of compaction information. Therefore, a research on real-time digital compaction detection method for airport earthwork engineering is proposed. After collecting effective digital image information around the target measurement point, the grayscale morphology method is used to enhance the image grayscale, and it is imported into the minimum binomial fitting function to determine the grayscale center. Within the maximum radius range of the grayscale parameter, the specific compaction parameter is calculated based on the pixel value corresponding to one pixel step. In the test results, the error between the detection results of dry density at different measurement points and the actual value is stable within 0.03g/cm3, and the error of compaction detection results is stable within 0.5%.

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