Method and device for judging potential of lithium ore in pegmatite, electronic equipment and storage medium

Abstract

The invention provides a method and a device for judging the lithium ore potential in pegmatite, electronic equipment and a storage medium, the method indirectly and quickly judges the lithium ore potential of granite pegmatite by analyzing the microelement geochemical characteristics of key minerals, muscovite and potassium feldspar in pegmatite, namely the ratio of major elements to microelements, so that the lithium ore potential of pegmatite is judged. By means of the method, pegmatite type lithium ore exploration can be partially converted into intelligent diagnosis based on a geochemical model from physical labor depending on a large amount of survey verification, and therefore more accurate, faster and more economical prospecting breakthrough is promoted to be achieved in the mineral exploration industry.

Description

Technical Field

[0001] This invention relates to the field of geological exploration and mineral resource evaluation technology for rare metal pegmatite-type lithium deposits, specifically to a method, apparatus, electronic device, and storage medium for determining the lithium ore potential in pegmatites. Background Technology

[0002] Pegmatite-type lithium deposits, as important hard-rock lithium resources, play a crucial role in the new energy strategy. With the rapid development of new energy vehicles and energy storage industries, lithium has become an indispensable "white oil." Pegmatite-type lithium deposits are rich in reserves, and significant progress has been made in resource reserves recently. For example, the Dangba lithium deposit in Ma'erkang City, Sichuan Province, has a cumulative proven lithium oxide resource of 1.1207 million tons, making it the largest granite pegmatite-type lithium deposit in Asia in terms of proven resources.

[0003] Existing research indicates that the distribution of rubidium (Rb) and cesium (Cs) in potassium feldspar and muscovite is controlled by the crystallization sequence. Late-crystallized minerals are enriched in Rb and Cs, with decreased K / Rb and K / Cs ratios, effectively indicating the degree of magma evolution. However, a systematic criterion for correlating mineral geochemical indicators with lithium enrichment has not yet been established, leading to low efficiency in target area screening. Traditional exploration methods heavily rely on extensive drilling and core analysis, which is not only costly and time-consuming in high-altitude, cold, and geologically fragmented areas with extensive Quaternary coverage, but also inefficient and poses significant safety risks.

[0004] Therefore, this application anticipates a method for rapidly determining the potential of pegmatite-type lithium deposits using the K / Rb and K / Cs ratios of muscovite and potassium feldspar minerals. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention provides a method, apparatus, electronic device, and storage medium for determining the lithium ore potential in pegmatites. It is applicable to high-altitude, cold, deeply dissected areas and covered areas. The aim is to quickly delineate prospective areas by combining geochemical index analysis, providing optimized target areas for subsequent engineering verification, thereby significantly reducing exploration costs, improving mineral exploration efficiency, and solving the problem of high exploration blindness in the prior art.

[0006] In a first aspect, embodiments of the present invention provide a method for determining the lithium ore potential in pegmatite, comprising the following steps:

[0007] Step S1: Based on the content of major and trace elements in muscovite and potassium feldspar in the granite pegmatite samples of the target exploration area, obtain the ratio of major and trace elements in muscovite and potassium feldspar respectively.

[0008] Step S2: Based on the ratio of the major and trace elements, Rayleigh's law of separation crystallization is used to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F;

[0009] Step S3: Based on the ratio of major elements to trace elements, and using the degree of separation crystallization F as a variable, Rayleigh's law of separation crystallization is applied to obtain the actual concentration curves of major elements and trace elements respectively;

[0010] Step S4: Construct a lithium ore potential judgment standard from the theoretical calibration line and actual concentration curve of the lithium ore potential, and determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

[0011] Furthermore, the construction of the theoretical benchmark for the lithium ore potential includes the following steps:

[0012] Step A1: Based on Rayleigh's law of fractionation, construct the relationship between element concentration and the concentration change of the degree of separation crystallization F in crystalline minerals;

[0013] Step A2: Perform linear fitting on the concentration change relationship to obtain an initial linear relationship between the major elements and trace elements;

[0014] Step A3: Set the average distribution coefficient of the principal elements to be close to 1 over a wide range, and optimize the linear relationship to obtain the optimal linear relationship;

[0015] Step A4: Construct a theoretical benchmark for lithium ore potential based on the optimal linear relationship.

[0016] Furthermore, the concentration change relationship includes:

[0017] ;

[0018] In the formula, For elements In minerals Concentration in; It is the initial concentration of the element in the parent melt; It refers to the degree of separation and crystallization; It is an element The average distribution coefficient; = is the actual distribution coefficient of element i in mineral j in the crystalline or molten state.

[0019] Furthermore, if the major element of the potassium feldspar is potassium (K) and the trace element is rubidium (Rb), then the initial linear relationship includes:

[0020] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Rb)];

[0021] In the formula, A is the slope, A=(DK- DRb) / (DRb - 1); DK is the average distribution coefficient of potassium (K); DRb is the average distribution coefficient of rubidium (R). This represents the initial concentration of rubidium in the parent melt. This represents the concentration of rubidium. This represents the initial concentration of potassium in the parent melt;

[0022] The major element of the muscovite is potassium (K), and the trace element is cesium (Cs). Therefore, the initial linear relationship includes:

[0023] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Cs)] ;

[0024] Where A is the slope, A=(DK – DCs) / (DCs - 1); DCs is the average distribution coefficient of cesium. This represents the concentration of cesium. This represents the initial concentration of cesium in the parent melt.

[0025] Furthermore, when the total distribution coefficient DK of the major element potassium K approaches 1, the slope A of the initial linear relationship approaches -1. Therefore, the optimal linear relationship between log(K / Rb or Cs) and rubidium Rb or cesium Cs includes:

[0026] log( / ) = -log( ) +log( .Kd,k).

[0027] Furthermore, in step S3, obtaining the theoretical concentration of potassium, the major element in muscovite, includes:

[0028] ;

[0029] In the formula, This represents the actual distribution coefficient of potassium in muscovite. This represents the initial concentration of potassium in the mother melt of muscovite; The average distribution coefficient of potassium in muscovite; To separate the degree of crystallization, and 0 < F < 1;

[0030] When obtaining the theoretical concentration of the trace element cesium in muscovite, the following steps are taken:

[0031] ;

[0032] In the formula, This represents the actual distribution coefficient of cesium in muscovite; This represents the initial concentration of cesium in the muscovite within the parent melt; F is the average distribution coefficient of cesium in muscovite, and 0 < F < 1;

[0033] When obtaining the theoretical concentration of the trace element rubidium in muscovite, the following steps are taken:

[0034] ;

[0035] In the formula, This represents the actual distribution coefficient of rubidium in muscovite; This represents the initial concentration of rubidium in the mother melt of muscovite; F is the average distribution coefficient of rubidium in muscovite, and 0 < F < 1;

[0036] When obtaining the theoretical concentration of potassium in potassium feldspar, the following steps are taken:

[0037] ;

[0038] In the formula, This is the actual distribution coefficient of potassium in potassium feldspar; This represents the initial concentration of potassium in the parent melt of potassium feldspar; F is the average distribution coefficient of potassium in potassium feldspar, and 0 < F < 1;

[0039] When obtaining the theoretical concentration of the trace element rubidium in potassium feldspar, the following steps are taken:

[0040] ;

[0041] In the formula, represents the actual partition coefficient of rubidium in potassium feldspar; This represents the initial concentration of rubidium in potassium feldspar within the parent melt. F is the average distribution coefficient of rubidium in potassium feldspar, and 0 < F < 1;

[0042] When obtaining the theoretical concentration of the trace element cesium in potassium feldspar, the following steps are taken:

[0043] ;

[0044] In the formula, This represents the actual partition coefficient of cesium in potassium feldspar; This represents the initial concentration of cesium in potassium feldspar within the parent melt. F is the average distribution coefficient of cesium in potassium feldspar, and 0 < F < 1.

[0045] Furthermore, the criteria for judging the lithium ore potential include:

[0046] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0047] The concentration of the trace element rubidium (Rb) is >5704 ppm. If the concentration of trace element cesium (Cs) is >5704 ppm and the degree of separation crystallization (F) is >0.99, then it is mineralized pegmatite muscovite.

[0048] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0049] The concentration of the trace element rubidium (Rb) is >4765 ppm. If the concentration of trace element cesium (Cs) is >140 ppm and the degree of segregated crystallization (F) is >0.99, then it is potassium feldspar in the mineralized pegmatite.

[0050] In a second aspect, embodiments of this disclosure provide an apparatus for determining the lithium ore potential in pegmatite, comprising:

[0051] The preprocessing unit is configured to obtain the ratios of major and trace elements in muscovite and potassium feldspar based on the content of major and trace elements in muscovite and potassium feldspar in granite pegmatite samples from the target exploration area.

[0052] The benchmark construction unit is configured to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F, using Rayleigh's law of separation crystallization, based on the ratio of the major and trace elements.

[0053] The curve construction unit is configured to obtain the actual concentration curves of the major elements and trace elements based on the ratio of the major elements and trace elements, with the degree of separation crystallization F as the variable, using Rayleigh's law of separation crystallization.

[0054] The output unit is configured to construct a lithium ore potential judgment standard from the theoretical benchmark and actual concentration curve of the lithium ore potential, and to determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

[0055] At least one processor; and,

[0056] The memory is communicatively connected to the at least one processor; wherein,

[0057] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described above for determining the lithium ore potential in pegmatite.

[0058] Fourthly, embodiments of this disclosure provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the above-described method for determining the lithium ore potential in pegmatite.

[0059] Other optional features and technical effects of the embodiments of the present invention are partly described below and partly apparent from reading this document.

[0060] Compared with the prior art, the present invention has the following beneficial technical effects:

[0061] This invention provides a method, apparatus, electronic device, and storage medium for determining the lithium potential in pegmatite. The method includes: obtaining the ratios of major and trace elements in muscovite and potassium feldspar based on the content of major and trace elements in muscovite and potassium feldspar samples from a target exploration area; constructing a theoretical benchmark for lithium potential based on the degree of separation crystallization F using Rayleigh's law of separation crystallization, using the ratios of major and trace elements as variables; obtaining actual concentration curves of major and trace elements using Rayleigh's law of separation crystallization, using the degree of separation crystallization F as a variable; constructing a lithium potential judgment standard from the theoretical benchmark and actual concentration curves; and determining the lithium potential of the granite pegmatite samples from the target exploration area based on the lithium potential judgment standard. This application analyzes the trace element geochemical characteristics of key minerals in pegmatites, namely muscovite and potassium feldspar, specifically the ratio of major to trace elements, to indirectly and quickly determine the lithium potential of the rocks. This can partially transform pegmatite-type lithium exploration from a "manual labor" relying on extensive reconnaissance and verification into an "intelligent diagnosis" based on geochemical models, thereby promoting more accurate, faster, and more economical breakthroughs in mineral exploration. Attached Figure Description

[0062] Figure 1 A flowchart illustrating a method for determining the lithium ore potential in pegmatite according to an embodiment of this disclosure is shown.

[0063] Figure 2 The theoretical datum line and actual concentration curve of muscovite with respect to the trace element cesium in the exploration area of ​​this disclosure embodiment are shown.

[0064] Figure 3 The theoretical datum line and actual concentration curve of rubidium in muscovite in the exploration area according to an embodiment of this disclosure are shown.

[0065] Figure 4 The theoretical datum line and actual concentration curve of potassium feldspar with respect to the trace element cesium in the exploration area of ​​this disclosure embodiment are shown.

[0066] Figure 5 The theoretical datum line and actual concentration curve of potassium feldspar with respect to the trace element rubidium in the exploration area of ​​this disclosure are shown.

[0067] Figure 6 A schematic diagram of an electronic device for determining the lithium ore potential in pegmatite is shown according to an embodiment of the present disclosure. Detailed Implementation

[0068] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0069] The following specific examples illustrate the implementation of this disclosure. Those skilled in the art can easily understand other advantages and effects of this disclosure from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. This disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this disclosure. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0070] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this disclosure, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using structures and / or functionalities other than one or more of the aspects set forth herein.

[0071] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this disclosure. The drawings only show the components related to this disclosure and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0072] Furthermore, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details.

[0073] Figure 1 A flowchart 100 illustrating a method for determining the lithium ore potential in pegmatite according to an embodiment of this disclosure is shown, as follows: Figure 1 As shown, it includes:

[0074] In step S101, based on the content of major and trace elements in muscovite and potassium feldspar in the granite pegmatite samples of the target exploration area, the ratios of major and trace elements in muscovite and potassium feldspar are obtained respectively.

[0075] Specifically, in this embodiment of the disclosure, fresh granite pegmatite samples are collected from the target exploration area, and single minerals of muscovite and potassium feldspar are separated. Electron probe microanalysis (EPMA) and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) are used to determine the contents of the major element potassium (K), as well as the trace elements rubidium (Rb) and cesium (Cs) in the single minerals. Then, the ratios of the major and trace elements of muscovite and potassium feldspar, including K / Rb and K / Cs values, are calculated respectively.

[0076] Next, proceed to step S102.

[0077] In step S102, based on the ratio of the major elements and trace elements, Rayleigh's law of separation crystallization is used to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F.

[0078] Specifically, obtaining the degree of crystallization F includes the following steps:

[0079] Step A1: Based on Rayleigh's law of fractionation, construct a formula relating elemental concentration to the degree of fractional crystallization F in crystalline minerals; further, the formula relating concentration changes includes:

[0080] ;

[0081] In the formula, For elements In minerals Concentration in; It is the initial concentration of the element in the parent melt; It refers to the degree of separation and crystallization; It is an element The average distribution coefficient; = is the actual distribution coefficient of element i in mineral j in the crystalline or molten state.

[0082] It should be noted that the mathematical relationship described is based on Rayleigh fractionation law. For an ideal Rayleigh fractional crystallization process, a straight line should be defined on the log(element A / element B) – log(element B) graph for the concentrations of the two elements in a given mineral. The Rayleigh fractionation law is as follows:

[0083] ;

[0084] In the formula, This represents the initial concentration of the element in the parent melt. denoted as the concentration of element i in the residual melt, F as the degree of crystallization, and Di as the average distribution coefficient of element i.

[0085] Correspondingly, the formula for the concentration of element i in mineral j is: And this is used as the formula for the concentration change.

[0086] Step A2: Perform linear fitting on the concentration change equation to obtain an initial linear relationship between the major and trace elements; specifically, the major element of the potassium feldspar is potassium (K), and the trace element is rubidium (Rb), then the initial linear relationship includes:

[0087] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Rb)];

[0088] In the formula, A is the slope, A=(DK- DRb) / (DRb - 1); DK is the average distribution coefficient of potassium (K); DRb is the actual distribution coefficient of rubidium (R). This represents the initial concentration of rubidium in the parent melt. This represents the concentration of rubidium. This represents the initial concentration of potassium in the parent melt;

[0089] The major element of the muscovite is potassium (K), and the trace element is cesium (Cs). Therefore, the initial linear relationship includes:

[0090] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Cs)] ;

[0091] Where A is the slope, A=(DK – DCs) / (DCs - 1); DCs is the average distribution coefficient of cesium. This represents the concentration of cesium. This represents the initial concentration of cesium in the parent melt.

[0092] It should be noted that the initial linear relationship between muscovite and potassium feldspar has the form y = Ax + B. Therefore, in an ideal Rayleigh segregation crystallization sequence of a given melt, the concentrations of the two elements in a certain mineral can be defined as a straight line in a graph plotted as log (K / Rb or Cs) versus log (Rb or Cs).

[0093] Step A3: Set the average distribution coefficient of the principal elements to be close to 1 over a wide range, and optimize the linear relationship to obtain the optimal linear relationship;

[0094] It should be noted that, since the average distribution coefficient of the major element potassium (K) in S-type granitic melts is typically close to 1 over a wide range of fractional crystallization, the parameter A in the initial linear relationship between muscovite and potassium feldspar is reduced to -1. When the average distribution coefficient DK of the major element potassium (K) in the target mineral approaches 1, the slope A of the initial linear relationship approaches -1, and the trend of log(K / Rb or Cs) with respect to rubidium (Rb) or cesium (Cs) includes:

[0095] log( / ) = -log( ) +log( .Kd,k);

[0096] Step A4: Construct a theoretical benchmark for lithium ore potential based on the optimal linear relationship. Specifically, the horizontal axis of the theoretical benchmark for lithium ore potential is log(Rb or Cs), and the vertical axis is log(K / Rb or Cs). It reveals the linear distribution characteristics of potassium feldspar and muscovite trace elements in granite pegmatite samples from granite to non-mineralized pegmatite and then to mineralized pegmatite in the target exploration area.

[0097] Next, proceed to step S103.

[0098] In step S103, based on the ratio of the major element to the trace element, and with the degree of separation crystallization F as the variable, Rayleigh's law of separation crystallization is used to obtain the actual concentration curves of the major element and the trace element respectively.

[0099] In this embodiment, obtaining the theoretical concentration of potassium, a major element in muscovite, includes:

[0100] ;

[0101] In the formula, This represents the actual distribution coefficient of potassium in muscovite. This represents the initial concentration of potassium in the mother melt of muscovite; The average distribution coefficient of potassium in muscovite; To separate the degree of crystallization, and 0 < F < 1;

[0102] When obtaining the theoretical concentration of the trace element cesium in muscovite, the following steps are taken:

[0103] ;

[0104] In the formula, This represents the actual distribution coefficient of cesium in muscovite; This represents the initial concentration of cesium in the muscovite within the parent melt; F is the average distribution coefficient of cesium in muscovite, and 0 < F < 1;

[0105] When obtaining the theoretical concentration of the trace element rubidium in muscovite, the following steps are taken:

[0106] ;

[0107] In the formula, This represents the actual distribution coefficient of rubidium in muscovite; This represents the initial concentration of rubidium in the mother melt of muscovite; F is the average distribution coefficient of rubidium in muscovite, and 0 < F < 1;

[0108] When obtaining the theoretical concentration of potassium in potassium feldspar, the following steps are taken:

[0109] ;

[0110] In the formula, This is the actual distribution coefficient of potassium in potassium feldspar; This represents the initial concentration of potassium in the parent melt of potassium feldspar; F is the average distribution coefficient of potassium in potassium feldspar, and 0 < F < 1;

[0111] When obtaining the theoretical concentration of the trace element rubidium in potassium feldspar, the following steps are taken:

[0112] ;

[0113] In the formula, represents the actual partition coefficient of rubidium in potassium feldspar; This represents the initial concentration of rubidium in potassium feldspar within the parent melt. F is the average distribution coefficient of rubidium in potassium feldspar, and 0 < F < 1;

[0114] When obtaining the theoretical concentration of the trace element cesium in potassium feldspar, the following steps are taken:

[0115] ;

[0116] In the formula, This represents the actual partition coefficient of cesium in potassium feldspar; This represents the initial concentration of cesium in potassium feldspar within the parent melt. F is the average distribution coefficient of cesium in potassium feldspar, and 0 < F < 1.

[0117] In this embodiment, to quantitatively evaluate the fractional crystallization process of the Bailongshan granite-pegmatite system, the degree of fractional crystallization F is set as a variable. The average composition of the two-mica granite is used as the initial concentration of the magma melt, wherein the concentration of the major element potassium (K) is 40,000 ppm, the concentration of the trace element rubidium (Rb) is 330 ppm, and the concentration of the trace element cesium (Cs) is 20 ppm. The average distribution coefficient (Dk) of the major element potassium (K) in both potassium feldspar and muscovite is 1.08924, the average distribution coefficient (DRb) of the trace element rubidium (Rb) is 0.51162, and the average distribution coefficient (DCs) of the trace element cesium (Cs) is 0.08632. In muscovite, The value is 2.5. The value is 0.16. The value is 1.75; in potassium feldspar, The value is 3.12. The value is 0.9. The value is 0.03.

[0118] Taking the theoretical concentration of potassium in potassium feldspar as an example, assuming F = 0.01, then... =3.12×40000 =124688.12. Based on this method, the theoretical concentrations of the major element potassium (K) and the trace elements rubidium (Rb) and cesium (Cs) in potassium feldspar and muscovite were calculated.

[0119] Based on the calculated theoretical concentrations of major element potassium (K) and trace elements rubidium (Rb) and cesium (Cs), actual concentration curves of major and trace elements were constructed. The horizontal axis of the actual concentration curve represents the trace element concentration, and the vertical axis represents K / Rb and K / Cs. This reveals the degree and direction of magma evolution. The higher the degree of magma evolution, the larger the corresponding degree of fractional crystallization (F value), the stronger the enrichment of trace elements, the higher the concentration of trace elements rubidium (Rb) and cesium (Cs), the lower the K / Rb and K / Cs ratios, and the greater the potential for rare metal mineralization.

[0120] Next, proceed to step S104.

[0121] In step S104, a lithium ore potential judgment standard is constructed from the theoretical calibration line and the actual concentration curve of the lithium ore potential, and the lithium ore potential of the granite pegmatite sample in the target exploration area is determined based on the lithium ore potential judgment standard.

[0122] In this embodiment, the criteria for judging lithium ore potential include:

[0123] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0124] The concentration of the trace element rubidium (Rb) is >5704 ppm. If the concentration of trace element cesium (Cs) is >5704 ppm and the degree of separation crystallization (F) is >0.99, then it is mineralized pegmatite muscovite.

[0125] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0126] The concentration of the trace element rubidium (Rb) is >4765 ppm. If the concentration of trace element cesium (Cs) is >140 ppm and the degree of segregated crystallization (F) is >0.99, then it is potassium feldspar in the mineralized pegmatite.

[0127] Specifically, in this embodiment, the granite pegmatite sample was obtained from Bailongshan (BLS). Muscovite and potassium feldspar were separated into individual minerals. Electron probe microanalysis (EPMA) and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) were used to determine the contents of the major element potassium (K) and the trace elements rubidium (Rb) and cesium (Cs) in the individual minerals.

[0128] Based on the ratios of the major and trace elements, Rayleigh's law of segregation crystallization is used to construct a theoretical benchmark for lithium ore potential based on the degree of segregation crystallization F, such as... Figure 2 (a) Figure 3 (a) Figure 4 (a) and Figure 5 As shown in (a), based on the ratio of the major elements to the trace elements, and using the degree of separation crystallization F as a variable, Rayleigh's law of separation crystallization was applied to obtain the actual concentration curves of the major elements and trace elements, respectively, as follows. Figure 2 (b) Figure 3 (b) Figure 4 (b) and Figure 5 As shown in (b).

[0129] For example Figure 2 For example, Figure 2(a) shows the theoretical benchmarks for the lithium ore potential of major element potassium (K) and trace element cesium (Cs) in muscovite from granite pegmatite samples in the Bailongshan exploration area. The corresponding trend lines are as follows:

[0130] Y = -0.417x + 5.0815;

[0131] R 2 =0.9968;

[0132] Among them, R 2 The value K / Cs, ranging from 0 to 1, measures the extent to which a trend line explains changes in the original data. A value closer to 1 indicates a better fit to the data, meaning the independent variable (X) explains the dependent variable (Y) more effectively. A value closer to 0 indicates a weaker explanatory power and potentially highly dispersed data points. In other words, the trend line in this implementation better reflects the theoretical relationship of lithium ore potential, with the horizontal axis representing log(Rb or Cs) and the vertical axis representing log(K / Rb or Cs).

[0133] Figure 2 (b) shows the actual concentration curves of potassium (K) and cesium (Cs), the major element and trace element, in muscovite samples from granite pegmatite samples in the Bailongshan exploration area. It can be seen that... Figure 2 In (a), from granite to non-mineralized pegmatite and then to mineralized pegmatite, a trend of continuous enrichment of cesium is observed. The granite includes two-mica granite (TG), the non-mineralized pegmatite includes quartz-mica belt pegmatite (QMB) and quartz-albite-tourmaline belt pegmatite (QAT), and the mineralized pegmatite includes quartz-spodumene belt pegmatite (QS), all showing a trend of continuous enrichment of the trace element cesium (Cs). This trend and... Figure 2 The curve trend in (b) is consistent.

[0134] Will Figure 2 (b) Rock samples from the BLS-QAT, BLS-QMB and BLS-QS zones with a degree of separation crystallization F of 0.94-0.99 were used as the standard for the content of trace element cesium (Cs) in muscovite, and were used as one of the factors for judging muscovite in mineralized pegmatites in the criteria for judging lithium ore potential.

[0135] For example Figure 5 For example, Figure 5 (a) shows the theoretical benchmarks for the lithium ore potential of potassium (K) and rubidium (Rb), the major element and trace element, in potassium feldspar in granite pegmatite samples from the Bailongshan exploration area. The corresponding trend lines are as follows:

[0136] Y = -0.984x + 5.0675;

[0137] R 2=0.9996;

[0138] Figure 5 (b) shows the actual concentration curves of potassium (K) and cesium (Cs), the major element and trace element, in potassium feldspar samples from granite pegmatite samples in the Bailongshan exploration area. It can be seen that in... Figure 5 In (a), from granite to non-mineralized pegmatite and then to mineralized pegmatite, a trend of continuous enrichment of rubidium (Rb) is observed. The granite includes two-mica granite (TG), the non-mineralized pegmatite includes quartz-mica belt pegmatite (QMB) and quartz-albite-tourmaline belt pegmatite (QAT), and the mineralized pegmatite includes quartz-spodumene belt pegmatite (QS), all showing a trend of continuous enrichment of the trace element Rb. This trend and... Figure 5 The curve trend in (b) is consistent.

[0139] Will Figure 5 (b) uses rock samples of non-mineralized pegmatites (BLS-QAT zone) and Be-mineralized pegmatites (BLS-QMB zone) with a degree of separation crystallization F around 0.97-0.99 as the standard for the content of trace element rubidium (Rb) in potassium feldspar, and uses this as one of the factors for judging potassium feldspar in mineralized pegmatites in the criteria for judging lithium ore potential.

[0140] The second embodiment of the present invention also provides an apparatus for determining the lithium ore potential in pegmatite, comprising:

[0141] The preprocessing unit is configured to obtain the ratios of standard major and trace elements in muscovite and potassium feldspar based on the content of major and trace elements in muscovite and potassium feldspar in granite pegmatite samples from the target exploration area.

[0142] The preprocessing unit is configured to obtain the ratios of major and trace elements in muscovite and potassium feldspar based on the content of major and trace elements in muscovite and potassium feldspar in granite pegmatite samples from the target exploration area.

[0143] The benchmark construction unit is configured to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F, using Rayleigh's law of separation crystallization, based on the ratio of the major and trace elements.

[0144] The curve construction unit is configured to obtain the actual concentration curves of the major elements and trace elements based on the ratio of the major elements and trace elements, with the degree of separation crystallization F as the variable, using Rayleigh's law of separation crystallization.

[0145] The output unit is configured to construct a lithium ore potential judgment standard from the theoretical benchmark and actual concentration curve of the lithium ore potential, and to determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

[0146] A third embodiment of the present invention also provides an electronic device, the electronic device comprising:

[0147] At least one processor; and,

[0148] The memory is communicatively connected to the at least one processor; wherein,

[0149] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method for determining the lithium potential in pegmatite according to any of the foregoing embodiments.

[0150] The fourth embodiment of the present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method for determining the lithium ore potential in pegmatite as described in any of the preceding embodiments.

[0151] The fifth embodiment of the present invention also provides a computer program product, which includes a computing program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions that, when executed by a computer, cause the computer to perform the method for determining the lithium ore potential in pegmatite according to any of the foregoing embodiments.

[0152] Figure 6 The diagram illustrates a method for implementing embodiments of the present invention or an electronic device 1000 for implementing embodiments of the present invention. In some embodiments, it may include more or fewer devices than illustrated. In some embodiments, it may be implemented using a single or multiple devices. In some embodiments, it may be implemented using cloud-based or distributed devices.

[0153] like Figure 6 As shown, the electronic device 1000 includes a processor 1001, which can perform various appropriate operations and processes based on programs and / or data stored in read-only memory (ROM) 1002 or programs and / or data loaded from storage portion 1008 into random access memory (RAM) 1003. The processor 1001 may be a multi-core processor or may contain multiple processors. In some embodiments, the processor 1001 may include a general-purpose main processor and one or more special coprocessors, such as a central processing unit (CPU), graphics processing unit (GPU), neural network processor (NPU), digital signal processor (DSP), etc. Various programs and data required for the operation of the electronic device 1000 are also stored in RAM 1003. The processor 1001, ROM 1002, and RAM 1003 are interconnected via bus 1004. An input / output (I / O) interface 1005 is also connected to bus 1004.

[0154] The processor and memory described above are used together to execute programs stored in the memory. When the program is executed by a computer, it can implement the methods, steps, or functions described in the above embodiments.

[0155] The following components are connected to I / O interface 1005: an input section 1006 including a keyboard, mouse, touchscreen, etc.; an output section 1007 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 1008 including a hard disk, etc.; and a communication section 1009 including a network interface card such as a LAN card, modem, etc. The communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to I / O interface 1005 as needed. A removable medium 1011, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 1010 as needed so that computer programs read from it can be installed into storage section 1008 as needed. Figure 6 The diagram only shows a portion of the components and does not imply that the electronic device 1000 includes only these components. Figure 6 The components shown.

[0156] The systems, devices, modules, or units described in the above embodiments can be implemented by a computer or its associated components. The computer may be, for example, a mobile terminal, smartphone, personal computer, laptop computer, in-vehicle human-machine interface device, personal digital assistant, media player, navigation device, game console, tablet computer, wearable device, smart TV, Internet of Things system, smart home, industrial computer, server, or a combination thereof.

[0157] Although not shown, in this embodiment of the invention, a computer-readable storage medium is provided having a computer program / instructions stored thereon, which, when executed by a processor, implements the method for determining the lithium ore potential in pegmatite as described in the embodiment.

[0158] Storage media in embodiments of the present invention include articles that are permanent and non-permanent, removable and non-removable, capable of storing information by any method or technology. Examples of storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0159] Although not shown, embodiments of the present invention also provide a computer program product, including: a computer program / instructions that, when executed by a processor, implement the method described in the embodiments for determining the lithium ore potential in pegmatite.

[0160] The methods, programs, systems, apparatuses, etc., in embodiments of the present invention can be executed or implemented in one or more networked computers, or practiced in a distributed computing environment. In the embodiments of this specification, in these distributed computing environments, tasks can be performed by remote processing devices connected via a communication network.

[0161] Those skilled in the art will understand that the embodiments described in this specification can be provided as methods, systems, or computer program products. Therefore, those skilled in the art will realize that the functional modules / units or controllers and related method steps described in the above embodiments can be implemented in software, hardware, or a combination of both.

[0162] Unless explicitly stated otherwise, the actions or steps of the methods and procedures described in the embodiments of the present invention do not necessarily have to be performed in a specific order and can still achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0163] This document describes several embodiments of the present invention; however, for the sake of brevity, the descriptions of the embodiments are not exhaustive, and identical or similar features or parts between the embodiments may be omitted. In this document, "one embodiment," "some embodiments," "example," "specific example," or "some examples" refers to embodiments applicable to at least one, but not all, of the present invention. The above terms do not necessarily refer to the same embodiments or examples. Without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described herein, as well as the features of the different embodiments or examples.

[0164] The exemplary systems and methods of the present invention have been specifically shown and described with reference to the above embodiments, which are merely examples of the best mode for implementing the systems and methods. Those skilled in the art will understand that various changes can be made to the embodiments of the systems and methods described herein without departing from the spirit and scope of the invention as defined in the appended claims when implementing the systems and / or methods.

[0165] Furthermore, the method, apparatus, electronic device, and storage medium for determining the lithium ore potential in pegmatite according to the present invention can also be implemented in the following ways:

[0166] (1) A method for determining the lithium ore potential in pegmatite, characterized by comprising the following steps:

[0167] Step S1: Based on the content of major and trace elements in muscovite and potassium feldspar in the granite pegmatite samples of the target exploration area, obtain the ratio of major and trace elements in muscovite and potassium feldspar respectively.

[0168] Step S2: Based on the ratio of the major and trace elements, Rayleigh's law of separation crystallization is used to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F;

[0169] Step S3: Based on the ratio of major elements to trace elements, and using the degree of separation crystallization F as a variable, Rayleigh's law of separation crystallization is applied to obtain the actual concentration curves of major elements and trace elements respectively;

[0170] Step S4: Construct a lithium ore potential judgment standard from the theoretical calibration line and actual concentration curve of the lithium ore potential, and determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

[0171] (2) The method according to (1) is characterized in that, when constructing the theoretical benchmark of the lithium ore potential, the following steps are included:

[0172] Step A1: Based on Rayleigh's law of fractionation, construct the relationship between element concentration and the concentration change of the degree of separation crystallization F in crystalline minerals;

[0173] Step A2: Perform linear fitting on the concentration change relationship to obtain an initial linear relationship between the major elements and trace elements;

[0174] Step A3: Set the average distribution coefficient of the principal elements to be close to 1 over a wide range, and optimize the linear relationship to obtain the optimal linear relationship;

[0175] Step A4: Construct a theoretical benchmark for lithium ore potential based on the optimal linear relationship.

[0176] (3) The method according to (2) is characterized in that the concentration change relationship includes:

[0177] ;

[0178] In the formula, For elements In minerals Concentration in; It is the initial concentration of the element in the parent melt; It refers to the degree of separation and crystallization; It is an element The average distribution coefficient; = is the actual distribution coefficient of element i in mineral j in the crystalline or molten state.

[0179] (4) According to the method described in (2), the major element of the potassium feldspar is potassium (K) and the trace element is rubidium (Rb), then the initial linear relationship includes:

[0180] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Rb)];

[0181] In the formula, A is the slope, A=(DK- DRb) / (DRb - 1); DK is the average distribution coefficient of potassium (K); DRb is the average distribution coefficient of rubidium (R). This represents the initial concentration of rubidium in the parent melt. This represents the concentration of rubidium. This represents the initial concentration of potassium in the parent melt;

[0182] The major element of the muscovite is potassium (K), and the trace element is cesium (Cs). Therefore, the initial linear relationship includes:

[0183] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Cs)] ;

[0184] Where A is the slope, A=(DK – DCs) / (DCs - 1); DCs is the average distribution coefficient of cesium. This represents the concentration of cesium. This represents the initial concentration of cesium in the parent melt.

[0185] (5) According to the method described in (4), the characteristic is that when the total distribution coefficient DK of the major element potassium K approaches 1, the slope A of the initial linear relationship approaches -1, then the optimal linear relationship of log(K / Rb or Cs) for rubidium Rb or cesium Cs includes:

[0186] log( / ) = -log( ) +log( .Kd,k).

[0187] (6) The method according to (1), characterized in that, for muscovite, when obtaining the theoretical concentration of potassium, a major element in muscovite, in step S3 includes:

[0188] ;

[0189] In the formula, This represents the actual distribution coefficient of potassium in muscovite. This represents the initial concentration of potassium in the mother melt of muscovite; The average distribution coefficient of potassium in muscovite; To separate the degree of crystallization, and 0 < F < 1;

[0190] When obtaining the theoretical concentration of the trace element cesium in muscovite, the following steps are taken:

[0191] ;

[0192] In the formula, This represents the actual distribution coefficient of cesium in muscovite; This represents the initial concentration of cesium in the muscovite within the parent melt; F is the average distribution coefficient of cesium in muscovite, and 0 < F < 1;

[0193] When obtaining the theoretical concentration of the trace element rubidium in muscovite, the following steps are taken:

[0194] ;

[0195] In the formula, This represents the actual distribution coefficient of rubidium in muscovite; This represents the initial concentration of rubidium in the mother melt of muscovite; F is the average distribution coefficient of rubidium in muscovite, and 0 < F < 1;

[0196] When obtaining the theoretical concentration of potassium in potassium feldspar, the following steps are taken:

[0197] ;

[0198] In the formula, This is the actual distribution coefficient of potassium in potassium feldspar; This represents the initial concentration of potassium in the parent melt of potassium feldspar; F is the average distribution coefficient of potassium in potassium feldspar, and 0 < F < 1;

[0199] When obtaining the theoretical concentration of the trace element rubidium in potassium feldspar, the following steps are taken:

[0200] ;

[0201] In the formula, represents the actual partition coefficient of rubidium in potassium feldspar; This represents the initial concentration of rubidium in potassium feldspar within the parent melt. F is the average distribution coefficient of rubidium in potassium feldspar, and 0 < F < 1;

[0202] When obtaining the theoretical concentration of the trace element cesium in potassium feldspar, the following steps are taken:

[0203] ;

[0204] In the formula, This represents the actual partition coefficient of cesium in potassium feldspar; This represents the initial concentration of cesium in potassium feldspar within the parent melt. F is the average distribution coefficient of cesium in potassium feldspar, and 0 < F < 1.

[0205] (7) The method according to (1), characterized in that the criteria for judging lithium ore potential include:

[0206] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0207] The concentration of the trace element rubidium (Rb) is >5704 ppm. If the concentration of trace element cesium (Cs) is >5704 ppm and the degree of separation crystallization (F) is >0.99, then it is mineralized pegmatite muscovite.

[0208] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0209] The concentration of the trace element rubidium (Rb) is >4765 ppm. If the concentration of trace element cesium (Cs) is >140 ppm and the degree of segregated crystallization (F) is >0.99, then it is potassium feldspar in the mineralized pegmatite.

[0210] (8) An apparatus for determining the lithium ore potential in pegmatite, characterized in that, based on the method for determining the lithium ore potential in pegmatite according to any one of (1) to (7), the apparatus comprises:

[0211] The preprocessing unit is configured to obtain the ratios of major and trace elements in muscovite and potassium feldspar based on the content of major and trace elements in muscovite and potassium feldspar in granite pegmatite samples from the target exploration area.

[0212] The benchmark construction unit is configured to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F, using Rayleigh's law of separation crystallization, based on the ratio of the major and trace elements.

[0213] The curve construction unit is configured to obtain the actual concentration curves of the major elements and trace elements based on the ratio of the major elements and trace elements, with the degree of separation crystallization F as the variable, using Rayleigh's law of separation crystallization.

[0214] The output unit is configured to construct a lithium ore potential judgment standard from the theoretical benchmark and actual concentration curve of the lithium ore potential, and to determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

[0215] (9) The apparatus according to (8), characterized in that the marking construction unit is further configured to perform the following steps when constructing the theoretical marking of the lithium ore potential:

[0216] Step A1: Based on Rayleigh's law of fractionation, construct the relationship between element concentration and the concentration change of the degree of separation crystallization F in crystalline minerals;

[0217] Step A2: Perform linear fitting on the concentration change relationship to obtain an initial linear relationship between the major elements and trace elements;

[0218] Step A3: Set the average distribution coefficient of the principal elements to be close to 1 over a wide range, and optimize the linear relationship to obtain the optimal linear relationship;

[0219] Step A4: Construct a theoretical benchmark for lithium ore potential based on the optimal linear relationship.

[0220] (10) The apparatus according to (9), characterized in that the marking construction unit is further configured such that the concentration change relationship includes:

[0221] ;

[0222] In the formula, For elements In minerals Concentration in; It is the initial concentration of the element in the parent melt; It refers to the degree of separation and crystallization; It is an element The average distribution coefficient; = is the actual distribution coefficient of element i in mineral j in the crystalline or molten state.

[0223] (11) According to the apparatus of (9), the marking construction unit is further configured such that the major element of the potassium feldspar is potassium (K) and the trace element is rubidium (Rb), then the initial linear relationship includes:

[0224] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Rb)];

[0225] In the formula, A is the slope, A=(DK- DRb) / (DRb - 1); DK is the average distribution coefficient of potassium (K); DRb is the average distribution coefficient of rubidium (R). This represents the initial concentration of rubidium in the parent melt. This represents the concentration of rubidium. This represents the initial concentration of potassium in the parent melt;

[0226] The major element of the muscovite is potassium (K), and the trace element is cesium (Cs). Therefore, the initial linear relationship includes:

[0227] log( / = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Cs)] ;

[0228] Where A is the slope, A=(DK – DCs) / (DCs - 1); DCs is the average distribution coefficient of cesium. This represents the concentration of cesium. This represents the initial concentration of cesium in the parent melt.

[0229] (12) According to the apparatus of (11), the marking construction unit is further configured such that when the total distribution coefficient DK of the major element potassium K approaches 1, the slope A of the initial linear relationship approaches -1, then the optimal linear relationship of log(K / Rbor Cs) for rubidium Rb or cesium Cs includes:

[0230] log( / ) = -log( ) +log( .Kd,k).

[0231] (13) The apparatus according to (8), characterized in that the curve construction unit is further configured to, when obtaining the theoretical concentration of potassium, a major element in muscovite, include:

[0232] ;

[0233] In the formula, This represents the actual distribution coefficient of potassium in muscovite. This represents the initial concentration of potassium in the mother melt of muscovite; The average distribution coefficient of potassium in muscovite; To separate the degree of crystallization, and 0 < F < 1;

[0234] When obtaining the theoretical concentration of the trace element cesium in muscovite, the following steps are taken:

[0235] ;

[0236] In the formula, This represents the actual distribution coefficient of cesium in muscovite; This represents the initial concentration of cesium in the muscovite within the parent melt; F is the average distribution coefficient of cesium in muscovite, and 0 < F < 1;

[0237] When obtaining the theoretical concentration of the trace element rubidium in muscovite, the following steps are taken:

[0238] ;

[0239] In the formula, This represents the actual distribution coefficient of rubidium in muscovite; This represents the initial concentration of rubidium in the mother melt of muscovite; F is the average distribution coefficient of rubidium in muscovite, and 0 < F < 1;

[0240] When obtaining the theoretical concentration of potassium in potassium feldspar, the following steps are taken:

[0241] ;

[0242] In the formula, This is the actual distribution coefficient of potassium in potassium feldspar; This represents the initial concentration of potassium in the parent melt of potassium feldspar; F is the average distribution coefficient of potassium in potassium feldspar, and 0 < F < 1;

[0243] When obtaining the theoretical concentration of the trace element rubidium in potassium feldspar, the following steps are taken:

[0244] ;

[0245] In the formula, represents the actual partition coefficient of rubidium in potassium feldspar; This represents the initial concentration of rubidium in potassium feldspar within the parent melt. F is the average distribution coefficient of rubidium in potassium feldspar, and 0 < F < 1;

[0246] When obtaining the theoretical concentration of the trace element cesium in potassium feldspar, the following steps are taken:

[0247] ;

[0248] In the formula, This represents the actual partition coefficient of cesium in potassium feldspar; This represents the initial concentration of cesium in potassium feldspar within the parent melt. F is the average distribution coefficient of cesium in potassium feldspar, and 0 < F < 1.

[0249] (14) The apparatus according to (8), characterized in that the output unit is further configured such that the lithium ore potential judgment criteria include:

[0250] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0251] The concentration of the trace element rubidium (Rb) is >5704 ppm. If the concentration of trace element cesium (Cs) is >5704 ppm and the degree of separation crystallization (F) is >0.99, then it is mineralized pegmatite muscovite.

[0252] If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions:

[0253] The concentration of the trace element rubidium (Rb) is >4765 ppm. If the concentration of trace element cesium (Cs) is >140 ppm and the degree of segregated crystallization (F) is >0.99, then it is potassium feldspar in the mineralized pegmatite.

[0254] (15) An electronic device, characterized in that the electronic device comprises:

[0255] At least one processor; and,

[0256] The memory is communicatively connected to the at least one processor; wherein,

[0257] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform any one of (1) to (14) the method for determining the lithium potential in pegmatite.

[0258] (16) A non-transitory computer-readable storage medium, characterized in that the non-transitory computer-readable storage medium stores computer instructions for causing the computer to perform the method for determining the lithium ore potential in pegmatite as described in any one of (1) to (14).

[0259] (17) A computer program product comprising a computing program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method for determining the lithium potential in pegmatite as described in any one of (1) to (14).

Claims

1. A method for determining the lithium ore potential in pegmatite, characterized in that, Includes the following steps: Step S1: Based on the content of major and trace elements in muscovite and potassium feldspar in the granite pegmatite samples of the target exploration area, obtain the ratio of major and trace elements in muscovite and potassium feldspar respectively. Step S2: Based on the ratio of the major and trace elements, Rayleigh's law of separation crystallization is used to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F; Step S3: Based on the ratio of major elements to trace elements, and using the degree of separation crystallization F as a variable, Rayleigh's law of separation crystallization is applied to obtain the actual concentration curves of major elements and trace elements respectively; Step S4: Construct a lithium ore potential judgment standard from the theoretical calibration line and actual concentration curve of the lithium ore potential, and determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

2. The method for determining the lithium ore potential in pegmatite according to claim 1, characterized in that, The theoretical benchmark for the lithium ore potential includes the following steps: Step A1: Based on Rayleigh's law of fractionation, construct the relationship between element concentration and the concentration change of the degree of separation crystallization F in crystalline minerals; Step A2: Perform linear fitting on the concentration change relationship to obtain an initial linear relationship between the major elements and trace elements; Step A3: Set the average distribution coefficient of the principal elements to be close to 1 over a wide range, and optimize the linear relationship to obtain the optimal linear relationship; Step A4: Construct a theoretical benchmark for lithium ore potential based on the optimal linear relationship.

3. The method for determining the lithium ore potential in pegmatite according to claim 2, characterized in that, The concentration change relationship includes: ； In the formula, For elements In minerals Concentration in; It is the initial concentration of the element in the parent melt; It refers to the degree of separation and crystallization; It is an element The average distribution coefficient; = is the actual distribution coefficient of element i in mineral j in the crystalline or molten state.

4. The method for determining the lithium ore potential in pegmatite according to claim 2, characterized in that, The major element of potassium feldspar is potassium (K), and the trace element is rubidium (Rb). Therefore, the initial linear relationship includes: log( ∕ ) = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Rb)]; In the formula, A is the slope, A=(DK- DRb) / (DRb - 1); DK is the average distribution coefficient of potassium (K); DRb is the average distribution coefficient of rubidium (R). This represents the initial concentration of rubidium in the parent melt. This represents the concentration of rubidium. This represents the initial concentration of potassium in the parent melt; The major element of the muscovite is potassium (K), and the trace element is cesium (Cs). Therefore, the initial linear relationship includes: log( ∕ ) = A.log( ) + [log( .Kd,k) - (1 + A).log( .Kd,Cs)] ; Where A is the slope, A=(DK – DCs) / (DCs - 1); DCs is the average distribution coefficient of cesium. This represents the concentration of cesium. This represents the initial concentration of cesium in the parent melt.

5. The method for determining the lithium ore potential in pegmatite according to claim 4, characterized in that, When the total distribution coefficient DK of the major element potassium K approaches 1, the slope A of the initial linear relationship approaches -1. Therefore, the optimal linear relationship of log(K / Rb or Cs) for rubidium Rb or cesium Cs includes: log( ∕ ) = -log( ) +log( .Kd,k)。 6. The method for determining the lithium ore potential in pegmatite according to claim 1, characterized in that, When obtaining the theoretical concentration of potassium, the major element in muscovite, in step S3, the following steps are included: ； In the formula, This represents the actual distribution coefficient of potassium in muscovite. This represents the initial concentration of potassium in the mother melt of muscovite; The average distribution coefficient of potassium in muscovite; To separate the degree of crystallization, and 0 < F < 1; When obtaining the theoretical concentration of the trace element cesium in muscovite, the following steps are taken: ； In the formula, The actual distribution coefficient of cesium in muscovite; This represents the initial concentration of cesium in the muscovite within the parent melt; F is the average distribution coefficient of cesium in muscovite, and 0 < F < 1; When obtaining the theoretical concentration of the trace element rubidium in muscovite, the following steps are taken: ； In the formula, This represents the actual distribution coefficient of rubidium in muscovite; This represents the initial concentration of rubidium in the muscovite within the parent melt; F is the average distribution coefficient of rubidium in muscovite, and 0 < F < 1; When obtaining the theoretical concentration of potassium in potassium feldspar, the following steps are taken: ； In the formula, This is the actual distribution coefficient of potassium in potassium feldspar; This represents the initial concentration of potassium in the parent melt of potassium feldspar; F is the average distribution coefficient of potassium in potassium feldspar, and 0 < F < 1; When obtaining the theoretical concentration of the trace element rubidium in potassium feldspar, the following steps are taken: ； In the formula, represents the actual partition coefficient of rubidium in potassium feldspar; This represents the initial concentration of rubidium in potassium feldspar within the parent melt. F is the average distribution coefficient of rubidium in potassium feldspar, and 0 < F < 1; When obtaining the theoretical concentration of the trace element cesium in potassium feldspar, the following steps are taken: ； In the formula, This represents the actual partition coefficient of cesium in potassium feldspar; This represents the initial concentration of cesium in potassium feldspar within the parent melt. F is the average distribution coefficient of cesium in potassium feldspar, and 0 < F < 1.

7. The method for determining the lithium ore potential in pegmatite according to claim 1, characterized in that, The criteria for assessing lithium ore potential include: If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions: The concentration of the trace element rubidium (Rb) is >5704 ppm. If the concentration of trace element cesium (Cs) is >5704 ppm and the degree of separation crystallization (F) is >0.99, then it is mineralized pegmatite muscovite. If the granite pegmatite samples in the target exploration area simultaneously meet the following conditions: The concentration of the trace element rubidium (Rb) is >4765 ppm. If the concentration of trace element cesium (Cs) is >140 ppm and the degree of segregated crystallization (F) is >0.99, then it is potassium feldspar in the mineralized pegmatite.

8. An apparatus for determining the lithium ore potential in pegmatite, characterized in that, The method for determining the lithium ore potential in pegmatite according to any one of claims 1-7 includes: The preprocessing unit is configured to obtain the ratios of major and trace elements in muscovite and potassium feldspar based on the content of major and trace elements in muscovite and potassium feldspar in granite pegmatite samples from the target exploration area. The benchmark construction unit is configured to construct a theoretical benchmark for lithium ore potential based on the degree of separation crystallization F, using Rayleigh's law of separation crystallization, based on the ratio of the major and trace elements. The curve construction unit is configured to obtain the actual concentration curves of the major and trace elements based on the ratio of the major and trace elements, with the degree of separation crystallization F as the variable, using Rayleigh's law of separation crystallization. The output unit is configured to construct a lithium ore potential judgment standard from the theoretical benchmark and actual concentration curve of the lithium ore potential, and to determine the lithium ore potential of granite pegmatite samples in the target exploration area based on the lithium ore potential judgment standard.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and, The memory is communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method for determining the lithium potential in pegmatite as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions for causing the computer to perform the method for determining the lithium ore potential in pegmatite as described in any one of claims 1 to 7.

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