Intelligent image recognition of particle size and gradation of earth-rock

LIU Yushan; SUN Miaojun; WU Shuaifeng; ZHANG Liya; SUN Liming

doi:10.11779/CJGE2023S10051

Volume 45 Issue S1

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Chinese Journal of Geotechnical Engineering > 2023 > 45(S1): 59-62. > DOI: 10.11779/CJGE2023S10051

LIU Yushan, SUN Miaojun, WU Shuaifeng, ZHANG Liya, SUN Liming. Intelligent image recognition of particle size and gradation of earth-rock[J]. Chinese Journal of Geotechnical Engineering, 2023, 45(S1): 59-62. DOI: 10.11779/CJGE2023S10051

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Intelligent image recognition of particle size and gradation of earth-rock

1.
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, China
2.
Power China Huadong Engineering Corporation, Hangzhou 311100, China

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Received Date: July 04, 2023
Available Online: November 23, 2023

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Abstract

Abstract

The gradation of soil and stone materials directly affects the quality and anti-seepage of earth-rock dams. In order to solve the low efficiency and randomness of the traditional manual screening and the visual removal of oversized particles, the image recognition technology based on the MaskRCNN algorithm is used to start with the image recognition of standard spheres, and the relationship between the number of recognized spheres and the real number under different groups of particle sizes is studied. The ellipsoid calculation method that extends particle plane recognition to space volume is proposed, and the transformation method between the image recognition and the gradation based on the exponential function is established. By applying this method to the identification of particle size and the gradation of crushed stone and gravel, the correlation coefficient increases by more than 10%, and the accuracy of C_u and C_c reflected by the gradation curve is up to 35.26%. This stud may provide a new method for the image recognition of soil and stone gradation.
- earth-rock,
- gradation,
- image recognition,
- particle profile,
- spatial conversion

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References

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