Intelligent lithology identification system and method based on image and spectrum technology
A spectral technology and intelligent identification technology, applied in the field of lithology intelligent identification system, can solve the problems of low accuracy and low efficiency of lithology identification and classification, and achieve the effects of shortening detection time, improving work efficiency, and improving identification accuracy
Active Publication Date: 2019-07-19
SHANDONG UNIV
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[0004] One of the purposes of the implementation of this specification is to provide an intelligent lithology identification system based on image and spectrum technology, which combines and analyzes the results of spectral analysis and image recognition to finally give the lithology of rock blocks, greatly improving the accuracy of rock lithology identification, and solving the problem of Solved the problems of low accuracy and low efficiency of traditional lithology identification and classification
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[0031] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
[0032] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.
[0033] Implementation example one
[0034] This implementation example discloses a lithology intelligent identification system...
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The invention discloses an intelligent lithology identification system and method based on an image and a spectrum technology. The intelligent lithology identification system includes a rock block shape analyzing system, an image identification system, a specimen processing system, a spectral analyzing system, and a central analyzing control system, wherein the central analyzing control system determines final lithology of a specimen based on a rock block identification result come through the image identification system and an analysis result come through the spectral analyzing system. According to the technical scheme, the spectral technology is used for identifying the mineral content and species, finally, the results of spectral analyzing and image identification are combined and analyzed to finally provide the rock block lithology, and the accuracy of lithology identification of rocks is improved greatly.
Description
technical field [0001] The present disclosure relates to the technical field of rock identification and classification in engineering geology, in particular to an intelligent identification system and method for lithology based on image and spectrum technology. Background technique [0002] Rock identification is a fundamental work in geological surveys. During field geological surveys, geologists will identify the lithology of rocks based on the color, structure, and mineral composition of rock blocks. With the rapid development of AI, more and more researchers have begun to use deep learning technology to identify rock lithology, analyze and process rock image features through intelligent algorithms such as machine learning, and reduce the dependence on professional knowledge and equipment. Starting to achieve the purpose of identifying rock lithology, effectively avoiding the problems of long time-consuming, low accuracy and subjective influence of manual identification ...
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IPC IPC(8): G01N23/223G01N15/02G01N21/84
CPCG01N23/223G01N15/0205G01N21/84G01N2223/076G01N2223/1016G01N33/24G01N23/20G01N2223/616G01N2001/2866G01N23/2076
Inventor 许振浩石恒谢辉辉余腾飞王文扬黄鑫杜毓超
Owner SHANDONG UNIV