Abstract
In order to prevent the abnormal appearance of sand and gravel aggregate level in the concrete mixing plant, and improve the safety of the concrete mixing plant system as well as the efficient and high-quality production of the concrete mixing plant, this paper proposes a method for measuring the height and volume of aggregate material level based on the generation of contour mapping. The method is based on monocular vision technology. Firstly, after obtaining the state of aggregate and the aggregate contour line using YOLOv5 and Unet, the corresponding pixel height is obtained. Secondly, the volume obtained by rotating the aggregate contour line of the camera plane around a specific curve is taken as the pixel volume of the aggregate. After that, the mapping relationship between the pixel height and actual height, the pixel volume and actual volume is established based on the method of least squares. Lastly, by selecting the corresponding mapping relationship through the state of the aggregate and the contour characteristics, the actual height and volume of aggregate in the silo are indirectly computed. The experimental results show that the average accuracy of measuring the height and volume of aggregate in four states of single peak, single valley, double peaks, and double valleys using the contour mapping generated aggregate level height and volume measurement method is 93.68% and 88.33%. The real-time monitoring speed reaches 96 f/s. Both the measurement accuracy and monitoring speed can meet the demand of monitoring the height and volume of aggregate in concrete mixing plant.
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The data that support the findings of this study are available from the corresponding author, [Shuang Yue], upon reasonable request.
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Acknowledgements
Materials used for experiments are supported by Zhengzhou Sanhe Hydraulic Machinery Co., Ltd. The authors greatly appreciate the support provided by this company.
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This research was funded by Major Science and Technology Project of Henan Province, Zhengzhou major scientific and technological innovation special project, Key scientific research project plan of colleges and universities in Henan Province, Grant Numbers are 201110210300, 2019CXZX0050, and 21A510007.
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Liu, Y., Yue, S., Wang, X. et al. Mapping of sand and gravel aggregate level height and volume measurement based on contour mapping generation. SIViP 18, 2865–2878 (2024). https://doi.org/10.1007/s11760-023-02956-7
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DOI: https://doi.org/10.1007/s11760-023-02956-7