Paper
30 June 2021 A non-contacted measurement method for the aggregate gradation
Jiabao Wang, Tianjie Lei, Jintao Huang, Cuiying Zheng
Author Affiliations +
Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 118781U (2021) https://doi.org/10.1117/12.2601093
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore
Abstract
With the improvement of modernization and intelligentization of dam construction sites, how to quickly identify the particle size distribution of mixed aggregates at the construction site of cemented particle dams is an urgent problem to be solved. This paper took the aggregate particle size and gradation distribution of the cemented particle dam as the research object, and developed a mixed aggregate gradation sampling detection device integrated by LED light source, industrial CCD camera and software platform, using digital image processing technology and the equivalent volume algorithm realized the digital, intelligent and automated non-contact rapid detection of aggregate gradation at the construction site. The test showed that the cumulative pass rate experimental error was below 4%, the correlation between the detected sand and gravel quality and the actual quality reached 0.96, and the gradation curve trend of the test results was consistent with the actual measured trend. It not only proved the reliability and effectiveness of the mixed aggregate gradation sampling detection device developed in this paper to quickly identify the particle size distribution of mixed aggregates in the construction environment, but also proved the accuracy and rapidity of the gradation detection method in this paper. It was of great significance to the construction of cemented particle dams in terms of economy, environmental protection and safety.
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Jiabao Wang, Tianjie Lei, Jintao Huang, and Cuiying Zheng "A non-contacted measurement method for the aggregate gradation", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781U (30 June 2021); https://doi.org/10.1117/12.2601093
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