A method and device for quantitative detection of lithium element

Abstract

The application provides a lithium element quantitative detection method and device, which comprises the following steps: detecting laser information of a standard rock sample with a known content by using a lithium element quantitative detection device; automatically collecting and identifying lithium element spectrum information of the standard rock sample; establishing a lithium element quantitative detection model; placing a rock chip sample on a two-dimensional horizontal moving platform; setting a horizontal motion track of the two-dimensional horizontal moving platform according to the distribution of the rock chip sample; detecting laser-induced breakdown spectrum of the rock chip sample by using the lithium element quantitative detection device; inputting the collected rock chip sample spectrum information into the lithium element quantitative detection model for processing and analysis to obtain the content of the lithium element; and moving the rock chip sample placed on the sample two-dimensional motion module to the next position according to the set horizontal motion track and then stopping the motion, and repeating the above detection steps. The device can realize multi-point synchronous detection of the sample, the detection result is more representative, and the detection efficiency is higher.

Description

Technical Field

[0001] This invention relates to the field of detection and analysis technology, and in particular to a method and apparatus for quantitative detection of lithium. Background Technology

[0002] Lithium mines are of great importance to national energy security. Detecting the lithium content in ore samples can help discover and evaluate lithium resources, promoting the high-quality development of new energy sources. In the process of oil and gas exploration and development, information on the lithium content in the formation carried by drilling cuttings is used. By detecting changes in the lithium content of these cuttings, it is crucial for the timely and accurate discovery of lithium resources and the healthy development of new energy sources.

[0003] Chinese invention patent application number CN202311835597.7 discloses a method and system for quantitative field analysis of lithium, relating to the field of quantitative field analysis of lithium. The method involves first measuring the laser-induced breakdown spectrum of lithium-containing minerals to obtain spectral data. Then, using this spectral data as input, a trained mineral classification model is used to determine the mineral category of the lithium-containing mineral. Finally, using the spectral data as input, a calibration curve corresponding to the mineral category is used to determine the lithium content of the lithium-containing mineral. This invention pre-establishes calibration curves for each mineral category, first using a trained mineral classification model to determine the mineral category, and then using the corresponding calibration curve to determine the lithium content. This eliminates the need for processing the lithium-containing minerals, enabling rapid quantitative analysis of lithium in the field, while also suppressing the influence of matrix effects and improving the accuracy of quantitative analysis of lithium.

[0004] However, current lithium detection equipment cannot perform multi-point detection at once when conducting laser spectroscopy analysis on rock fragments due to the small size, large number, and varying distribution of the rock fragments. This leads to inaccurate and unrepresentative results, which can mislead the judgment of accurate lithium content.

[0005] Therefore, how to perform accurate spectral detection of rock cutting particles is a technical problem that needs to be solved by those skilled in the art in response to the above-mentioned technical problems. Summary of the Invention

[0006] The purpose of this application is to disclose a method and apparatus for quantitative detection of lithium, which can realize simultaneous detection of multiple samples and the detection results are more representative.

[0007] To achieve the above objectives, this application provides a method for quantitative detection of lithium, comprising the following steps:

[0008] S1. Detect the laser information of standard rock samples with known lithium content using a lithium element quantitative detection device;

[0009] S2. Automatically collect and identify the lithium element spectral information of standard rock samples;

[0010] S3. Establish a quantitative detection model for lithium;

[0011] S4. Place the rock cuttings sample on a two-dimensional horizontal moving platform;

[0012] S5. Set the horizontal movement trajectory of the two-dimensional horizontal moving platform according to the distribution of rock cuttings samples;

[0013] S6. Detect the laser-induced breakdown spectrum of rock cuttings using a lithium element quantitative detection device;

[0014] S7. Input the spectral information of the collected rock debris samples into the lithium element quantitative detection model for processing and analysis to obtain the lithium element content;

[0015] S8. Following the set horizontal motion trajectory, the rock cutting sample placed on the sample two-dimensional motion module is moved to the next position and then the motion stops. Repeat the above detection steps.

[0016] S9. After all horizontal motion trajectories have completed the last position detection, output the lithium content of the rock cutting sample to determine and evaluate lithium resources.

[0017] Preferably, in step S1, the laser in the lithium element quantitative detection device has a power of 20mJ±1mJ and a wavelength of 1064nm.

[0018] Preferably, in step S2, when collecting the spectral information of lithium element, the spectrometer used has a detection wavelength range of 600-620 nm and a resolution of 0.1 nm.

[0019] Preferably, the horizontal motion trajectory includes a rectangular five-point trajectory, a circular equally spaced point trajectory, and a triangular four-point trajectory.

[0020] Preferably, the method for judging and evaluating lithium resources includes the following steps:

[0021] A1. Use the Grubbs test to remove outliers; the formula for the Grubbs test is: .

[0022] If G > G threshold, then the data point is removed.

[0023] A2. The arithmetic mean method is used to obtain the average value of the lithium content for determination. The formula for the arithmetic mean method is: .

[0024] Preferably, the lithium element quantitative detection model is established by calculating the relationship between lithium element spectral intensity data and content in standard rock samples. The formula for establishing the quantitative detection model is: Y = NX + M, where:

[0025] Y represents the lithium content in the sample, expressed in μg / g.

[0026] X represents the spectral intensity of lithium in the rock debris sample, expressed in the number of photons.

[0027] N is the correlation coefficient of the formula, and M is the compensation value; N>200, and the value of M ranges from 0 to 40.

[0028] A quantitative detection device for lithium element, wherein a two-dimensional horizontal moving platform is provided below the laser output position of the quantitative detection device for lithium element.

[0029] The working process and principle of the above structure are as follows:

[0030] During the testing process, the rock cutting sample is placed on a two-dimensional horizontal moving platform. The lithium element quantitative detection device emits a laser with a power of 20mJ±1mJ and a wavelength of 1064nm, which irradiates the rock cutting sample placed on the two-dimensional moving platform to induce the generation of laser spectrum. The laser spectrum carrying lithium element information is collected, processed, and analyzed to detect the lithium element content. The two-dimensional horizontal moving platform moves the rock cutting sample placed on it to the next position according to the set motion trajectory and then stops moving. The above detection steps are repeated. After all motion trajectories are completed and the last position is detected, the lithium element content of the rock cutting sample is calculated and output to judge and evaluate the lithium ore resources.

[0031] Preferably, the two-dimensional horizontal moving platform includes a sample detection stage, on which a first horizontal displacement component is disposed, a second horizontal displacement component is disposed on the first horizontal displacement component, and a moving plate is disposed on the second horizontal displacement component, wherein the moving directions of the first horizontal displacement component and the second horizontal displacement component are perpendicular to each other.

[0032] The first horizontal displacement component drives the second horizontal displacement component to move along the horizontal X direction. The second horizontal displacement component can drive the moving plate to move horizontally along the Y direction. Through the dual movement directions of X and Y, the sample can be moved along a predetermined trajectory, improving motion flexibility and path planning ability, reducing mechanical redundancy, optimizing space utilization, and making it easy to carry.

[0033] Compared to the aforementioned background technology, the lithium element quantitative detection method and device of the present invention optimizes and improves the accuracy of the detection method and results by driving the rock cutting sample to move horizontally along multiple trajectories during the detection process and performing multi-point detection. By performing multi-point detection on the rock cutting sample along the movement trajectory, multi-dimensional coverage is achieved, false alarms and interference are reduced, the detection results are more representative, and the overall detection efficiency is improved, making it more adaptable to complex environments and external requirements. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 A flowchart illustrating a method for quantitative detection of lithium element provided in an embodiment of the present invention;

[0036] Figure 2 A lithium element quantitative detection model diagram provided in an embodiment of the present invention;

[0037] Figure 3 This is a schematic diagram of the overall structure of a lithium element quantitative detection device provided in an embodiment of the present invention.

[0038] The image includes:

[0039] 1. Lithium element quantitative detection device; 2. Sample detection stage; 3. First horizontal displacement component; 4. Second horizontal displacement component; 5. Moving plate. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] Combination Figures 1 to 2 As shown, the present invention provides a method for quantitative detection of lithium, comprising the following steps:

[0043] S1. Detect the laser information of a standard rock sample with a known lithium content using a lithium element quantitative detection device 1;

[0044] S2, The lithium element quantitative detection device 1 automatically collects and identifies the lithium element spectral information of standard rock samples;

[0045] S3. Establish a quantitative detection model for lithium in the laptop's software system;

[0046] S4. Place the rock cuttings sample on a two-dimensional horizontal moving platform;

[0047] S5. Based on the distribution of rock debris samples, the industrial control computer of the lithium element quantitative detection device 1 sets the horizontal movement trajectory of the two-dimensional horizontal moving platform.

[0048] S6. Detect the laser-induced breakdown spectrum of rock cuttings using lithium quantitative detection device 1;

[0049] S7. Input the spectral information of the collected rock debris samples into the lithium element quantification detection model in the laptop for processing and analysis to obtain the lithium element content;

[0050] S8. Following the set horizontal motion trajectory, the rock cutting sample placed on the sample two-dimensional motion module is moved to the next position and then the motion stops. Repeat the above detection steps.

[0051] S9. After all horizontal motion trajectories have completed the last position detection, output the lithium content of the rock cutting sample to determine and evaluate lithium resources.

[0052] In another embodiment of the present invention, in step S1, the power of the laser in the lithium element quantitative detection device 1 is 20mJ±1mJ and the wavelength is 1064nm.

[0053] In another embodiment of the present invention, in step S2, when collecting the spectral information of lithium element, the detection wavelength range of the spectrometer used is 600-620nm, and the resolution is 0.1nm.

[0054] In another embodiment of the invention, the horizontal movement trajectory includes a rectangular five-point trajectory, a circular equally spaced point trajectory, and a triangular four-point trajectory. The rectangular five-point trajectory includes four corner points and a center point, and the triangular four-point trajectory includes four corner points and a center point. Depending on the actual distribution area of ​​the rock debris sample and the detection requirements, one or more trajectories can be selected for use together to increase the number of comparison examples.

[0055] In another embodiment of the present invention, the method for determining and evaluating lithium mineral resources includes the following steps:

[0056] A1. Use the Grubbs test to remove outliers; the formula for the Grubbs test is:

[0057] .

[0058] The specific process involves arranging the data from smallest to largest and calculating the mean and standard deviation.

[0059] Identify the "suspicious values" that need to be tested (usually the points that differ the most from the mean);

[0060] If G > G threshold, then the data point is removed.

[0061] A2. The arithmetic mean method is used to obtain the average value of the lithium content for determination. The formula for the arithmetic mean method is: .

[0062] In another embodiment of the present invention, the lithium element quantitative detection model calculates the relationship between the lithium element spectral intensity data and the content of a standard rock sample. The formula for establishing the quantitative detection model is: Y = NX + M, where:

[0063] Y represents the lithium content in the sample, expressed in μg / g.

[0064] X represents the spectral intensity of lithium in the rock cuttings sample, expressed in photons. N is the correlation coefficient, and M is the compensation value. N = 400, and M is 15.

[0065] like Figure 3 As shown, a lithium element quantitative detection device is provided, which applies the lithium element quantitative detection method in any of the above embodiments. A two-dimensional horizontal moving platform is provided below the laser output position of the lithium element quantitative detection device 1.

[0066] The working process and principle of the above structure are as follows:

[0067] During the testing process, the rock cutting sample is placed on a two-dimensional horizontal moving platform. The lithium element quantitative detection device 1 emits a laser with a power of 20mJ±1mJ and a wavelength of 1064nm, which irradiates the rock cutting sample placed on the two-dimensional moving platform to induce the generation of laser spectrum. The laser spectrum carrying lithium element information is collected, processed and analyzed to detect the lithium element content. The two-dimensional horizontal moving platform moves the rock cutting sample placed on it to the next position according to the set motion trajectory and then stops moving. The above detection steps are repeated. After all motion trajectories are completed and the last position is detected, the lithium element content of the rock cutting sample is calculated and output to judge and evaluate the lithium ore resources.

[0068] In another embodiment of the invention, such as Figure 3As shown, the two-dimensional horizontal moving platform includes a sample testing stage 2, a first horizontal displacement component 3 mounted on the sample testing stage 2, a second horizontal displacement component 4 mounted on the first horizontal displacement component 3, and a moving plate mounted on the second horizontal displacement component 4. The moving directions of the first horizontal displacement component 3 and the second horizontal displacement component 4 are perpendicular to each other. The drive unit for the first horizontal displacement component 3 and the second horizontal displacement component 4 is a motor-driven ball screw and nut pair structure. This structure provides more precise displacement feeding and is more conducive to driving the moving plate to precise displacement.

[0069] The first horizontal displacement component 3 drives the second horizontal displacement component 4 to move along the horizontal X direction. The second horizontal displacement component 4 can drive the moving plate to move horizontally along the Y direction. Through the dual movement directions of X and Y, the sample can be moved along a predetermined trajectory, improving the flexibility of movement and path planning ability, reducing mechanical redundancy, optimizing space utilization, and making it easy to carry.

[0070] The laptop's built-in software includes a lithium element quantification detection model, specifically the LLD lithium element laser detector analysis system V1.0 software, which has the following functions:

[0071] 1. Data Acquisition and Management

[0072] It seamlessly connects to a lithium quantitative detection device to acquire spectral data in real time. The acquired data is then stored, managed, analyzed, and queried.

[0073] 2. Lithium elemental analysis

[0074] Specific algorithms are used to process spectral data to accurately identify the characteristic spectral lines of lithium. Quantitative analysis of lithium content provides precise concentration results.

[0075] 3. Results visualization

[0076] The system presents lithium elemental analysis results in an intuitive tabular format, including concentration trends. It supports multiple visualization methods, facilitating quick understanding and interpretation of the data.

[0077] 4. System Setup and Calibration

[0078] Users can configure software parameters according to their actual needs, such as acquisition frequency and data storage path. A calibration function is provided to ensure the accuracy and reliability of the analysis results.

[0079] 5. Report Generation and Output

[0080] It can automatically generate detailed analysis reports, including experimental parameters, results data, and charts. It supports printing and exporting reports for easy archiving and sharing.

[0081] After the software starts, the main interface is displayed, including an operation bar, a spectral data display area, and a results visualization area. The operation bar provides various function options, such as file operations, data analysis, and system settings. The spectral data display area shows the currently acquired laser spectrum information. The results visualization area displays the current and previous spectral analysis results.

[0082] This display module is primarily used to present LIBS (Laser-Induced Breakdown Spectroscopy) spectral data acquired at the current sample acquisition location. The entire display interface presents a two-dimensional coordinate graph, with the horizontal and vertical axes representing different physical quantities.

[0083] The horizontal axis is marked with wavelengths (nm), ranging from 250.00 nm to 850.00 nm. The graduations are relatively uniform, with each small division representing a specific wavelength increment, such as 5 nm or 10 nm. This wavelength scale is crucial for analyzing the emission spectra of different elements at specific wavelengths. Because different elements, when excited by a laser, produce characteristic emission spectra at specific wavelengths, measuring the spectral intensity at these wavelengths allows determination of the type and abundance of elements in the sample.

[0084] The vertical axis represents intensity, with a scale ranging from 0.00 to 21000.00. The intensity scale is also uniformly distributed, with each small division on the vertical axis representing a certain intensity increment. The intensity of the spectrum reflects the strength of the light emitted by the sample at the corresponding wavelength. Higher intensity values ​​usually indicate more photon emission at that wavelength, which is related to high concentrations of certain elements in the sample or specific physicochemical processes.

[0085] The entire display area is divided by a crisscrossing grid of lines, which provides users with a clear reference frame, facilitating accurate reading and analysis of spectral data. For example, when an intensity peak is observed at a certain wavelength, the grid lines can be used to accurately determine the wavelength and intensity value corresponding to that peak.

[0086] In the upper right corner of the display module, there are icons and operation buttons. For example, the "+" and "-" buttons are used to zoom in and out of the spectrum, allowing users to observe the spectral data of a specific area in more detail or to view the overall spectral trend. There are also other buttons or icons for data processing operations, such as saving data, printing, or comparing and analyzing data with other data.

[0087] In practical applications, once the software acquires data from the laser-induced breakdown spectrometer, this data is displayed in real time on this module. Users can determine whether a sample contains specific elements and their relative abundance by observing the shape, intensity distribution, and position of characteristic peaks in the spectrum. For example, if an intensity peak appears at a known characteristic wavelength of lithium, it can be inferred that the sample contains lithium, and the concentration and state of lithium can be further analyzed based on the peak height and shape.

[0088] This display module is a crucial part of the entire software system. It provides users with an intuitive and accurate platform for displaying spectral data, facilitating data analysis and scientific research.

[0089] The analysis results section plays a crucial role in the entire software system. Based on the measured spectral data, it presents the analysis results obtained from each measurement in a clear and concise tabular format.

[0090] This table first includes the crucial information of rock type. Accurate rock type identification is fundamental and essential for geological research. Different rock types exhibit significant differences in their formation processes, mineral composition, and the types and amounts of elements they contain. Through precise analysis of measured spectral data, the software can accurately classify rock types and present them in the results column, providing an important basis for further in-depth research on rock characteristics.

[0091] Secondly, the lithium content information is also a key element in the table. Lithium plays an extremely important role in modern industry, with wide applications in the battery industry and other high-tech fields. Accurately determining the lithium content in rocks through spectral analysis provides strong data support for lithium resource exploration and development. The results column presents the lithium content in precise data form, allowing researchers to intuitively understand the lithium content in the measured rock samples.

[0092] In addition, the table also covers the abundance information of major elements in the Earth's crust. The Earth's crust is a complex system composed of various elements, some of which, such as oxygen, silicon, aluminum, iron, calcium, sodium, potassium, and magnesium, play crucial roles in the Earth's material cycles and geological evolution. Understanding the abundance of these major elements in rocks is of great significance for studying geological structures, petrogenesis, and geochemical cycles. After each measurement, the software can accurately analyze the abundance of these major elements in the rock sample by processing the spectral data and present it in detail in the analysis results table.

[0093] By presenting the analysis results in tabular form, researchers can easily, quickly, and accurately obtain key information from each measurement, thereby enabling them to conduct comprehensive and in-depth studies of rock samples.

[0094] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for quantitative detection of lithium, characterized in that, Includes the following steps: S1. Detect the laser information of standard rock samples with known lithium content using a lithium element quantitative detection device; S2. Automatically collect and identify the lithium element spectral information of standard rock samples; S3. Establish a quantitative detection model for lithium; S4. Place the rock cuttings sample on a two-dimensional horizontal moving platform; S5. Set the horizontal movement trajectory of the two-dimensional horizontal moving platform according to the distribution of rock cuttings samples; S6. Detect the laser-induced breakdown spectrum of rock cuttings using a lithium element quantitative detection device; S7. Input the spectral information of the collected rock debris samples into the lithium element quantitative detection model for processing and analysis to obtain the lithium element content; S8. Following the set horizontal motion trajectory, the rock cutting sample placed on the sample two-dimensional motion module is moved to the next position and then the motion stops. Repeat the above detection steps. S9. After all horizontal motion trajectories have completed the last position detection, output the lithium content of the rock cutting sample to determine and evaluate lithium resources.

2. The method for quantitative detection of lithium element according to claim 1, characterized in that, In step S1, the power of the laser in the lithium element quantitative detection device is 20mJ±1mJ, and the wavelength is 1064nm.

3. The method for quantitative detection of lithium according to claim 2, characterized in that, In step S2, when collecting the spectral information of lithium, the spectrometer used has a detection wavelength range of 600-620 nm and a resolution of 0.1 nm.

4. The method for quantitative detection of lithium according to claim 1, characterized in that, The horizontal motion trajectory includes a rectangular five-point trajectory, a circular equally spaced point trajectory, and a triangular four-point trajectory.

5. The method for quantitative detection of lithium according to claim 1, characterized in that, The method for judging and evaluating lithium mineral resources includes the following steps: A1. Use the Grubbs test to remove outliers; A2. The arithmetic mean method is used to obtain the average value of lithium content for determination.

6. The method for quantitative detection of lithium according to claim 1, characterized in that, The lithium element quantitative detection model is used to calculate the relationship between lithium element spectral intensity data and content in standard rock samples. The formula for establishing the quantitative detection model is: Y = NX + M, where... Y represents the lithium content in the sample, expressed in μg / g. X represents the spectral intensity of lithium in the rock debris sample, expressed in the number of photons. N is the correlation coefficient of the formula, and M is the compensation value; N>200, and the value of M ranges from 0 to 40.

7. A lithium element quantitative detection device, applied to the lithium element quantitative detection method according to any one of claims 1 to 6, characterized in that, A two-dimensional horizontal moving platform is set below the laser output position of the lithium element quantitative detection device.

8. The lithium element quantitative detection device according to claim 7, characterized in that, The two-dimensional horizontal moving platform includes a sample detection stage, on which a first horizontal displacement component is provided, a second horizontal displacement component is provided on the first horizontal displacement component, and a moving plate is provided on the second horizontal displacement component. The moving directions of the first horizontal displacement component and the second horizontal displacement component are perpendicular to each other.

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