Rockfill image particle size recognition method and device, electronic equipment and storage medium
An identification method and rockfill technology are applied in the field of rockfill particle size identification, which can solve the problems of low accuracy and precision of rockfill particle size identification, and achieve the effects of improving monitoring accuracy, construction quality, speed and accuracy.
Pending Publication Date: 2021-11-02
TSINGHUA UNIV
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[0004] Deep learning algorithms have been applied to particle size identification in some specific fields, but due to the complexity of rockfill structure, the accuracy and precision of rockfill particle size identification are low
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[0047] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.
[0048] On the contrary, this application covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of this application as defined by the claims. Further, in order to make the public have a better understanding of the application, some specific details are described in detail in the detailed description of the application below. The present application can be fully understood by those skilled in the art without the description of these detailed parts.
[0049] see figure 1 , a rockfill particle size identification method provided in the embodiment ...
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The invention provides a rockfill image particle size recognition method and device, electronic equipment and a storage medium, and aims to solve the problem that the particle size of engineering rockfill is difficult to directly detect. The method comprises the following steps: acquiring a rockfill labeling image, identifying a rockfill area, segmenting the rockfill area, extracting a rockfill edge contour, fitting the rockfill area and calculating a rockfill particle size. According to the invention, different neural network algorithms are utilized to realize the functions of target rockfill area identification and rockfill edge extraction. According to the invention, the particle size of the rockfill is standardized through geometric fitting parameterization, the scientificity and the accuracy of the particle size information of the rockfill are improved in combination with a sampling survey method, a rapid and effective method is provided for particle size detection of large-scale engineering rockfill, and the method has important significance in improving the engineering detection efficiency and guaranteeing the engineering quality.
Description
technical field [0001] The disclosure belongs to the technical field of rockfill particle size recognition, and in particular relates to a method, device, electronic equipment and storage medium for rockfill image particle size recognition. Background technique [0002] The particle size distribution of rockfill is an influencing factor affecting the compactness of rockfill concrete. If the rockfill is too small, it is difficult to ensure the filling rate of concrete, which will directly affect the quality of the project and bring safety hazards; while if the rockfill is too large, it will increase the cost of screening the rockfill, and at the same time increase the volume percentage of concrete, resulting in a waste of raw materials and making the project The cost is greatly increased. [0003] In order to make the construction go smoothly during the construction process, it is generally required that the minimum particle size of the rockfill is not less than 300mm, so th...
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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/62G06K9/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06T7/13G06T7/62G06N3/08G06T2207/10004G06T2207/20021G06T2207/20081G06T2207/20084G06N3/045G06F18/214
Inventor 金峰付立群徐小蓉周虎张晨笛
Owner TSINGHUA UNIV