Intelligent lithology identification system and method based on images and spectrum technology

Patent metadata

Field	Value
Publication number	US-11536639-B2
Application number	US-201916957631-A
Country	US
Kind code	B2
Filing date	Apr 26, 2019
Priority date	Apr 4, 2019
Publication date	Dec 27, 2022
Grant date	Dec 27, 2022

Abstract

An intelligent lithology identification system and method based on images and spectrum technology. The intelligent lithology identification system includes a rock shape analysis system, an image identification system, a sample processing system, a spectrum analysis system, and a central analysis and control system; wherein the central analysis and control system determines the final lithology of a sample according to the rock identification results from the image identification system and the analysis results from the spectrum analysis system. The technical solution further identifies the content and type of minerals by using spectrum technology, integrates and analyzes the results of spectrum analysis and image identification, and finally gives the lithology of the rock, which greatly improves the accuracy of lithology identification.

First claim

The invention claimed is:

1. An intelligent lithology identification system based on images and spectrum technology, comprising:
a rock shape analysis system, an image identification system, a sample processing system, a spectrum analysis system, and a central analysis and control system;

the rock shape analysis system acquires shape information of a sample to be tested, pre-selects a plurality of X-ray fluorescence(XRF) detection planes according to the shape information of the sample, determines a grinding position of the sample to be tested according to grinding workloads of different detection planes, and transmits the grinding position of the sample to be tested and flatness of a ground plane to the central analysis and control system;
the central analysis and control system controls, according to the determined grinding position of the sample to be tested, the sample processing system to grind the sample till meeting the requirement of XRF analysis for flatness, and the image identification system preliminarily identifies lithology of a ground rock;
the sample processing system grinds debris produced in the grinding process of the sample after grinding the sample following the requirement of XRF analysis, and the image identification system judges whether rock powder meets the requirement of X-ray diffraction (XRD) analysis for a size of rock particles;
the spectrum analysis system performs XRD analysis on the rock powder meeting the requirement of particle size and XRF analysis on the rock sample meeting the requirement of sample flatness, and transmits respective analysis results to the central analysis and control system; the central analysis and control system determines the final lithology of the sample according to the rock identification results from the image identification system and the analysis results from the spectrum analysis system.

2. The intelligent lithology identification system based on images and spectrum technology according to claim 1 , wherein the rock shape analysis system comprises a plurality of laser rangefinders, the laser rangefinders are above the sample to be tested, and the plurality of laser rangefinders point straight down and are on a same horizontal line.

3. The intelligent lithology identification system based on images and spectrum technology according to claim 2 , wherein the rock shape analysis system further comprises a first data processing unit, and the laser rangefinders transmit information of distances between the rangefinders and the rock to the first data processing unit while the sample to be tested is rotated uniformly below the laser rangefinders;
the first data processing unit comprises a rock shape generation module and a rock XRF detection plane pre-selection module;
the rock shape generation module is configured to generate rock shape information according to the information of distances between the rangefinders and the rock;
the rock XRF detection plane pre-selection module presets several alternative grinding positions according to the rock shape information, then calculates the grinding workloads of the several alternative planes according to the rock shape information, and selects a preferred grinding position according to the grinding workloads.

4. The intelligent lithology identification system based on images and spectrum technology according to claim 3 , wherein the first data processing unit also calculates the flatness of a grinding plane of the sample to judge whether the flatness meets the requirement of XRF for plane detection; and the first data processing unit transmits, to the central analysis and control system, the information about whether the rock grinding position and the grinding plane meet the requirement for flatness.

5. The intelligent lithology identification system based on images and spectrum technology according to claim 1 , wherein the sample processing system comprises two retractable rotating grippers arranged symmetrically relative to the sample to be tested, horizontal guide rails, a grinding member, and a grinding device;
the retractable rotating grippers can rotate within a vertical plane while gripping the sample to be tested, the retractable rotating grippers gripping the sample can be pushed to slide along the rails under the action of a horizontal movement driving device, and then move horizontally on the grinding member, and the sample is quickly ground;
the grinding device grinds a ground debris into powder.

6. The intelligent lithology identification system based on images and spectrum technology according to claim 5 , wherein the grinding device comprises a support beam, a retractable member, a clamping groove, and a grinding stone;
one end of the retractable member is connected to the support beam, and an other end of the retractable member is spherically connected to the grinding stone;
the clamping groove is disposed at the upper position on a round surface of a terminal of the retractable member, and can transmit the pulling force to pull up the grinding stone when the retractable member is stretched.

7. The intelligent lithology identification system based on images and spectrum technology according to claim 6 , wherein the grinding stone is driven to rotate by a motor; and a lower surface of the grinding stone and a upper surface of a grinding bowl have the same curvature.

8. The intelligent lithology identification system based on images and spectrum technology according to claim 1 , wherein the spectrum analysis system comprises an XRF analyzer and an XRD analyzer; the XRF analyzer identifies the type and content of elements contained in the rock sample; the XRD analyzer detects the type and content of minerals contained in the rock; a second data processing unit integrates the diffraction analysis results and the fluorescence analysis results to verify and judge whether the errors of the detection results meet the requirements; and finally, the second data processing unit transmits the integration results to the central analysis and control system.

9. The intelligent lithology identification system based on images and spectrum technology according to claim 1 , wherein the image identification system comprises a camera, a rock particle detection model, a rock classification identification model, and a third data processing unit; the third data processing unit judges, after reading a rock powder image and the rock particle detection model, whether the powder meets the requirement of XRD analysis for the size of rock particles; the third data processing unit gives, after reading a rock image and the rock classification identification model, a preliminary judgment on the lithology of the rock by calculation; and the third data processing unit of the image identification system finally transmits the calculation result to the central analysis and control system.

10. An intelligent lithology identification method based on images and spectrum technology, comprising:
acquiring shape information of a sample to be tested;
selecting an XRF detection plane according to the shape information of a rock, and determining a grinding position of the sample to be tested according to the detection plane;
grinding, after determining the grinding position of the sample to be tested, the sample till meeting the requirement of XRF analysis for flatness, and preliminarily identifying the lithology of a ground rock; grinding, after grinding the sample to meet the requirement of XRF analysis for flatness, a debris produced in the grinding process of the sample, judging whether a ground rock powder meets the requirement of XRD analysis for a size of rock particles, and continuing to, if not, grind the debris t

Assignees

• Univ Shandong

Inventors

• Li Shucai
• Xu Zhenhao
• Shi Heng
• Xie Huihui
• Yu Tengfei
• Wang Wenyang
• Huang Xin
• Du Yuchao

Classifications

• G01N23/223

  by irradiating the sample with X-rays or gamma-rays and by measuring X-ray fluorescence · CPC title

• G01N33/24 Primary

  Earth materials (G01N33/42 takes precedence) · CPC title

• G01N2223/1016

  X-ray · CPC title

• G01N23/20

  by using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials · CPC title

• G01N23/2076

  for spectrometry, i.e. using an analysing crystal, e.g. for measuring X-ray fluorescence spectrum of a sample with wavelength-dispersion, i.e. WDXFS · CPC title