CN-121995031-A - Low-loss multimode self-adaptive meteorite rapid classifying and verifying system and method thereof

CN121995031ACN 121995031 ACN121995031 ACN 121995031ACN-121995031-A

Abstract

The invention provides a low-loss multimode self-adaptive meteorite rapid classifying and verifying system and a method thereof, belonging to the technical field of planetary science and material analysis, the system comprises a multi-mode pre-screening module, a low-loss film making module, an EDS data acquisition and feature extraction module, an optical microscopy and scanning electron microscope analysis module, a weathering grade sensing self-adaptive judging module, an uncertainty driving verification module and a classification result output and sample database management module. The invention overcomes the key bottleneck of the prior art by the synergistic effect of technical means such as low-loss preparation, multi-point calibration, weathering self-adaption, probability verification closed loop and the like, and remarkably improves the stability, accuracy and expandability of the Antarctic merle rapid classification flow.

Inventors

XIA ZHIPENG
LV YIMING
HUANG JING
LI QI

Assignees

桂林理工大学
中国极地研究中心(中国极地研究所)

Dates

Publication Date: 20260508
Application Date: 20260113

Claims (10)

1. The low-loss multimode self-adaptive merle rapid classifying and verifying system is characterized by comprising a multimode pre-screening module, a low-loss film making module, an EDS data acquisition and feature extraction module, an optical microscopy and scanning electron microscope analysis module, a weathering grade perception self-adaptive judging module, an uncertainty drive verifying module and a classifying result output and sample database management module, wherein the multimode pre-screening module is connected with the low-loss film making module and is used for nondestructive evaluation of sample components, structures and storage states, a film making strategy and a subsequent analysis route are determined, the low-loss film making module is connected with the EDS data acquisition and feature extraction module and is used for easily oxidizing, pulling and cracking characteristics of metals, sulfides and brittle carbonaceous matrixes in the merles, the optical microscopy and scanning electron microscope analysis module is connected with the EDS data acquisition and feature extraction module, the optical microscopy and scanning electron microscope analysis module is used for acquiring evidence of all rocks, microscopic and trace components, the EDS data acquisition and feature extraction module is connected with the weathering grade perception self-adaptive judging module, and the weathering grade perception self-adaptive judging module is used for constructing a weather multi-dimensional characteristic and dynamic judging system of the merle, and the weathering grade perception self-adaptive judging module is connected with the weathering grade drive judging module and the classifying and the sample database management module.
2. The low loss multimode adaptive merle rapid classification and verification system of claim 1 wherein the multimode pre-screening module comprises a handheld susceptibility meter, a bulk density measurement device, a micro-CT, a micro-microscope and a Raman/visible-near infrared spectroscopy device, identifies layered silicate, hydrous minerals, CAI enrichment areas, carbonaceous matrix, hydration absorption bands, obtains magnetic susceptibility, bulk density, visible-near infrared spectroscopy, microscopic appearance and optional micro-CT structural information of the target merle sample, and is used for identifying metal content, carbonaceous matrix, crack development degree and potential pellet structure, and realizing preliminary classification and sheet making path selection of sample physical properties and mineral characteristics.
3. The system and method for classifying and verifying low-loss multimode self-adaptive merle fast in claim 1, wherein the low-loss pelleter module selects an ethanol or ethanol-water cooling cutting mode, a vacuum epoxy holding mode and a load self-adaptive polishing strategy based on pre-screening information, prepares a sheet with a thickness of 20-35 μm, keeps a metal phase, a sulfide phase and a fine grain matrix in-situ, adopts ethanol/ethanol-water lubrication cooling cutting, reduces iron-nickel phase oxidation and Fe migration, protects fine grain and brittle mineral structures by the vacuum epoxy holding and low-load polishing system, and has a self-adaptive thickness control program of 20-35 μm so as to preserve impact pulse, a molten inclusion, a pellet contour and a glass structure.
4. The system of claim 1, wherein the optical microscopy and scanning electron microscope analysis module performs optical microscopy observation on the sheet, scanning electron microscope reflection electron image acquisition texture features, energy dispersion spectrum point analysis and area analysis, extraction of mineral phase composition information, metal volume fraction and Fe/Mg ratio estimation of olivine to pyroxene, automatic identification of metal, sulfide, olivine or pyroxene phase domain, and provision of mineral chemical features, texture features and mineral phase separation information.
5. The system of claim 1 wherein the weathering grade sensing adaptive discrimination module inputs weathering grade and impact grade as independent variables into the classification model, and dynamically adjusts discrimination weights and confidence intervals in combination with mineral chemistry ratios, physical characteristics and structural characteristics, including but not limited to weathering sensitivity parameters Mg/Si, fe/Si ratios and EDS regression Fo-Fs values.
6. The system of claim 1 wherein the uncertainty drive verification module is configured to output confidence level p according to the classification, trigger the electronic probe WDS to perform verification when p is smaller than a set threshold, update the classification parameters and the calibration curve according to the verification result, and the classification result output and sample database management module is configured to output the meteorite chemical group, the petrology type, the impact level, the weathering level and the confidence index to which the sample belongs, so as to form a plurality of dimension discrimination results with uncertainty evaluation.
7. A method for a low-loss multi-modal adaptive merle rapid classification and verification system, the method comprising the steps of: Step1, a plurality of modal pre-sieves are used for acquiring magnetic susceptibility, bulk density, visible-near infrared spectrum, microscopic appearance and optional microscopic CT structure information of a target merle sample and identifying metal content, carbonaceous matrix, crack development degree and potential pellet structure; Step 2, low-loss flaking, namely selecting an ethanol or ethanol-water cooling cutting mode, a vacuum epoxy holding mode and a load self-adaptive grinding and polishing strategy based on pre-screening information, preparing a flake with the thickness of 20-35 mu m, and keeping a metal phase, a sulfide phase and a fine grain matrix in-situ structure; Step 3, collecting a plurality of modal signals, performing optical microscope observation on the thin sheet, scanning electron microscope reflection electron image to obtain texture characteristics, performing energy dispersion spectrum point analysis and area analysis, and extracting mineral phase composition information, metal volume fraction and Fe/Mg ratio estimation of olivine and pyroxene; Step 4, self-adaptive classification of a weathering grade sensing threshold, namely inputting the weathering grade and impact grade as independent variables into a classification model, and dynamically adjusting a discrimination weight and a confidence interval by combining a mineral chemical ratio, a physical property characteristic and a structural characteristic, wherein the discrimination weight and the confidence interval comprise but are not limited to weathering sensitive parameters such as Mg/Si, fe/Si ratio and EDS regression Fo-Fs value; step 5, uncertainty drive verification and iteration, namely, according to the classification output confidence coefficient p, triggering the accurate analysis of the electronic probe WDS to carry out verification when the confidence coefficient p is smaller than a set threshold value, and updating classification parameters and a calibration curve according to a verification result; And 6, outputting a five-dimensional classification result, and outputting the meteorite chemical group, the petrology type, the impact level, the weathering grade and the confidence index of the sample to form a multi-dimensional discrimination result with uncertainty evaluation.
8. The method of the low loss multimode adaptive merle rapid classification and verification system of claim 7 wherein in step 2, the ethanol coolant concentration is 70-100 wt% for reducing risk of metal oxidation and sulfide hydration, and in step 3, the flake thickness is 20-35 μm, and the adaptation is performed according to sample fissures, carbonaceous content and metallic phase content.
9. The method of the low loss multimode adaptive merle rapid classification and verification system of claim 7 wherein in step 1, the target merle sample is embedded with a vacuum epoxy to enhance mechanical stability and prevent particle pull-out during polishing, in step 3, no fewer than 30 sampling points are used, including background, mineral phase interface and typical particles, and drift correction or standard regression is automatically performed every 60-120 seconds.
10. The method of low loss multimode adaptive merle fast classification and verification system of claim 7 wherein in step 4, the adaptive classification includes a mineral ratio model, a feature parameter model, and an EDS estimation Fo-Fs regression model.

Description

Low-loss multimode self-adaptive meteorite rapid classifying and verifying system and method thereof Technical Field The invention relates to the technical field of planetary science and material analysis, in particular to a low-loss multimode self-adaptive meteorite rapid classification and verification system and a method thereof. Background The antarctic region is one of the most important merle-rich regions known throughout the world, and its unique polar ice cap flow mechanism and low weathering environment allow for the preservation and concentrated exposure of large amounts of merles to blue ice regions and ice flow bands. With the remarkable improvement of the scientific investigation capability of the polar region of China, the annual recovery quantity of the antarctic meteorites is continuously increased, the types of samples are various and the quantity is huge, and the urgent demands of mass and systematic identification and scientific research are gradually formed. The traditional antarctic merle cataloging and classifying process generally comprises (1) saw blade or diamond wire cutting and standard lithofacies slicing preparation, (2) optical microscope and scanning electron microscope (BSE) observation of texture structure, (3) EPMA-WDS (electron probe spectroscopy) high-precision mineral chemistry determination, and (4) artificial experience discrimination by comparing typical mineral chemistry range with spherulite structure characteristics. Although the process is the main stream means in the current international merle field, the process has significant limitations in a large-scale sample processing scene (1) the process period is long, a single sample often needs 2-4 weeks from lithofacies preparation, polishing and analysis to finish classification report, and the processing period and efficiency are difficult to meet the requirements of rapid scientific output and database construction under the condition of returning a large number of samples at south poles. (2) The sample is high in damage risk, common metal phases, sulfide brittle phases and carbonaceous fine grain matrixes in antarctic meteorite are sensitive to water-cooling cutting and mechanical polishing, irreversible damage such as oxidization, pulling-off, particle stripping and cracking easily occurs, and the subsequent fine analysis and long-term preservation value are affected. (3) The high-end instrument is obviously dependent, the existing process is dependent on large-scale analysis platforms such as EPMA-WDS and the like to perform full quantitative analysis, the equipment is long in time consumption and high in analysis cost, and a large number of suspected samples are difficult to rapidly check and prioritize, so that scientific research efficiency and resource allocation are limited. (4) The weathering impact interference is remarkable, the difference between the weathering grade (W0-W6) of the antarctic sample and the impact deterioration grade (S1-S6) is remarkable, the preservation of a metal phase is influenced, the lithofacies structure and element migration are influenced, and the traditional fixed threshold value discrimination rule is unstable in high weathering or high impact samples, and the classification accuracy and the robustness are insufficient. (5) The existing judging process depends on experience of professional staff and typical composition range judgment, and lacks a unified quantitative confidence index, so that classification results are difficult to normalize, track and trace in large-scale sample processing. (6) The existing flow depends on manual rechecking on classification reliability, and an automatic sampling inspection and analysis mechanism driven by uncertainty is not available, so that misjudgment accumulation or resource waste is easily caused, and the requirements of large-scale scientific database construction and high reliability in the real world cannot be met. Therefore, there is a need for a low-loss multimode adaptive merle fast classification and verification system and method. Disclosure of Invention The invention aims to provide a low-loss multi-mode self-adaptive meteorite rapid classification and verification system and a method thereof, which solve the technical problems of high sample damage risk, large mineral chemical quantitative error, obvious weathering interference and lack of confidence criteria in the existing Antarctic meteorite rapid classification technology. The system is oriented to the rapid primary identification of main merle types such as common pellet merle (H, L, LL), enstatite merle (EH, EL), carbonaceous pellet merle (CM, CO, CV) and the like, and is compatible with the intelligent cataloging requirements of lunar samples (such as glass cement, breccia, granular-embedded complex-structure samples), mars merle and asteroid particles. By introducing multi-mode information fusion, a low-loss preparation process, a self-adaptive threshold and uncerta