Solid trona ore grade analysis method based on X-ray diffraction technology and application

Abstract

The invention discloses a solid trona ore grade analysis method based on an X-ray diffraction technology and application. The analysis method comprises the following steps: S1, preparing a training set sample; s2, performing chemical titration analysis on the training set sample to obtain alkali ore grade data; s3, collecting an X-ray diffraction pattern of the training set sample to obtain phase composition data; s4, correcting the alkali ore grade data based on the phase composition data, and establishing a relation model between the corrected alkali ore grade data and the phase composition data; and S5, collecting an X-ray diffraction pattern of a to-be-detected sample to obtain phase composition data, and analyzing by utilizing the relation model established in the step S4 to obtain alkali ore grade data of the to-be-detected sample. According to the analysis method, the detection time of a single sample is shortened from 72 hours to 20 minutes, the detection error is within 5%, meanwhile, the alkali ore type and mineral composition information can be obtained, and the analysis method is completely suitable for rapid general survey of the alkali ore grade.

Description

Technical Field

[0001] The invention belongs to the field of solid salt mineral grade analysis, and in particular relates to a solid natural alkali ore grade analysis method based on X-ray diffraction technology and an application thereof. Background Art

[0002] In mineralogy, natural soda ore refers to a type of mineral called sodium carbonate. In industrial mineralogy and petrology, it refers to sodium carbonate, bicarbonate and hydrous carbonate minerals from which sodium carbonate components can be extracted, and is an important raw material for the alkali industry. There are many types of minerals that make up solid natural soda deposits, and there are more than ten common types, but only a few of them have industrial value, such as sodium carbonate, natron, and soda ash. The grade of solid natural soda refers to the mass percentage of Na2CO3+NaHCO3 in natural soda ore. The detection of grade directly affects the evaluation of the exploration value of alkali mines and the determination of ore reserves.

[0003] At present, alkali ore needs to be sent to a special chemical analysis laboratory for titration analysis to determine the ore grade. Although this method has accurate test results, it has high requirements for the experimental environment and personnel, takes a long time, and cannot meet the needs of researchers to quickly obtain ore grades. In addition, this grade detection method can only give the mass percentage of Na2CO3+NaHCO3, and cannot give the type of alkali ore and the mineral composition information of the alkali ore. Therefore, the existing technology lacks a fast, relatively accurate and comprehensive solid natural alkali ore grade detection method, which has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] In view of the above problems, the present invention provides a solid natural alkali ore grade analysis method based on X-ray diffraction technology and its application. The analysis method performs traditional grade analysis and X-ray diffraction analysis on parallel samples respectively, establishes a relationship model between the two, and obtains correlation parameters; on this basis, X-ray diffraction analysis is performed on the alkali ore samples to obtain phase composition data including the composition and content of alkali minerals and other minerals, and then the above relationship model and correlation parameters are used to calculate and quickly obtain the natural alkali grade data. The analysis method provides technical support for the exploration and deployment of natural alkali mines, is suitable for the rapid analysis of alkali ore grades in the process of solid natural alkali mine exploration, and has high accuracy, and can also obtain alkali ore type and mineral composition information.

[0005] In one aspect of the present invention, a solid natural alkali ore grade analysis method based on X-ray diffraction technology is provided, comprising: S1, preparing training set samples; S2, chemically titrating and analyzing the training set samples to obtain alkali ore grade data; S3, collecting X-ray diffraction patterns of the training set samples to obtain physical phase composition data; S4, correcting the alkali ore grade data based on the physical phase composition data and establishing a relationship model between the corrected alkali ore grade data and the physical phase composition data; S5, collecting X-ray diffraction patterns of the samples to be tested to obtain physical phase composition data, and then using the relationship model established in step S4 to analyze and obtain the alkali ore grade data of the samples to be tested.

[0006] As a specific implementation of the present invention, in step S1, a certain number of ore samples with different alkali ore contents are selected as training set samples. Specifically, the sampling locations can be determined in combination with ore core observations, and locations with high alkali ore content, medium alkali ore content, low alkali ore content, and no alkali ore are selected for sampling. Each sample requires 100g to 200g.

[0007] As a specific embodiment of the present invention, the method further includes crushing the selected ore sample to 200 mesh at below 45°C.

[0008] As a specific implementation of the present invention, in step S3, an X-ray diffractometer is used to collect the X-ray diffraction pattern of the training set samples, and the parameters of the X-ray diffractometer are set as follows: copper target, power 3KW; transmitting slit 1 degree, receiving slit 0.3mm; step length 0.02 degree; scanning range 2θ angle 5 degrees to 45 degrees.

[0009] As a specific implementation of the present invention, in step S3, the phase composition data includes the alkali mineral type of the training set samples, the diffraction peak intensity of the alkali mineral, the associated mineral type and the diffraction peak intensity of the associated mineral.

[0010] As a specific embodiment of the present invention, the alkali mineral type of the training set samples is selected from any one of natron, soda ash, linalite, borax and nahcolite.

[0011] As a specific embodiment of the present invention, the associated mineral types of the training set samples are selected from any one or more of clay minerals, quartz, feldspar, halite, gypsum, calcite, and dolomite.

[0012] As a specific embodiment of the present invention, in step S4, the alkali ore grade data is corrected according to the alkali mineral type, and the correction is performed according to formula (1):

[0013] Ω=ω×δ 碱矿物类型 (1)

[0014] Where: Ω: the corrected alkali ore grade data of the training set samples;

[0015] ω: Alkali ore grade data of training set samples before correction;

[0016] δ 碱矿物类型 : Correction coefficient, where δ 泡碱 =2.698,δ 水碱 =1.170,δ 碳酸钠石 =1.189,δ 碳氢钠石 =1,δ 苏打石 =1.

[0017] As a specific embodiment of the present invention, in step S4, the method for establishing the relationship model between the corrected alkali ore grade data and the phase composition data is as follows: Assume that the training set sample contains alkali mineral X, and its diffraction peak intensity is I x In addition to alkali minerals, there are n kinds of associated minerals, whose diffraction peak intensities are I1~I n , whose K values ​​are K1~K n , then calculate the K value of alkali minerals according to formula (2) to obtain the relevant relationship parameters:

[0018]

[0019] Where: K x : K value of alkali minerals in the training set samples, dimensionless;

[0020] Ω: the alkali ore grade data of the corrected training set samples;

[0021] I x : diffraction peak intensity of alkali minerals in training set samples;

[0022] I i : diffraction peak intensity of associated mineral i of training set samples;

[0023] K i : K value of associated mineral i in the training set samples;

[0024] n: The number of associated mineral types in the training set samples.

[0025] Among them, the K value of each associated mineral is determined and can be obtained through the K values ​​of more than 20 common minerals given in SY / T5163-2018 "X-ray diffraction analysis method of clay minerals and common non-clay minerals in sedimentary rocks".

[0026] As a specific embodiment of the present invention, in step S5, the phase composition data includes the alkali mineral type of the sample to be tested, the diffraction peak intensity of the alkali mineral, the associated mineral type and the diffraction peak intensity of the associated mineral.

[0027] As a specific embodiment of the present invention, the alkali mineral type of the sample to be tested is selected from any one of natron, soda ash, sodium carbonate, sodium bicarbonate and nahcolite.

[0028] As a specific embodiment of the present invention, the associated mineral type of the sample to be tested is selected from any one or more of clay minerals, quartz, feldspar, halite, gypsum, calcite, and dolomite.

[0029] As a specific embodiment of the present invention, in step S5, the method for analyzing and obtaining the alkali ore grade data of the sample to be tested using the relationship model established in step S4 is as follows: Assuming that the sample to be tested contains alkali mineral X, the diffraction peak intensity of which is I x In addition to alkali minerals, it also contains n kinds of associated minerals, whose diffraction peak intensities are I1~I n , whose K values ​​are K1~K n , then the alkali ore grade data of the sample to be tested is calculated according to formulas (3) to (4);

[0030]

[0031] ω′=Ω′ / δ 碱矿物类型 (4);

[0032] Where: Ω′: alkali mineral content of the sample to be tested;

[0033] K′ x : The average K value of alkali minerals in each training set sample, dimensionless;

[0034] l′ x : diffraction peak intensity of the alkali mineral of the sample to be tested;

[0035] I′ i : diffraction peak intensity of associated mineral i of the sample to be tested;

[0036] K′ i : K value of the associated mineral i of the sample to be tested;

[0037] n: the number of associated mineral types of the sample to be tested;

[0038] ω′: Alkali ore grade data of the sample to be tested;

[0039] δ 碱矿物类型 : Correction coefficient, where δ 泡碱 =2.698,δ 水碱 =1.170,δ 碳酸钠石 =1.189,δ 碳氢钠石 =1,δ 苏打石 =1.

[0040] Another aspect of the present invention provides an application of the aforementioned solid natural alkali ore grade analysis method based on X-ray diffraction technology in determining alkali ore reserves, comprising the following steps: 1) obtaining a core sample of the area to be explored; 2) obtaining the alkali ore grade of the core sample using the aforementioned analysis method; 3) obtaining the length, width, height and alkali ore density of the area to be explored; 4) calculating the alkali ore reserves: alkali ore reserves = length × width × height × alkali ore density × alkali ore grade.

[0041] Another aspect of the present invention provides the application of the above-mentioned solid natural alkali ore grade analysis method based on X-ray diffraction technology in delineating the distribution range of alkali ore.

[0042] 1. Deep underground mineral deposits

[0043] Mineral deposits buried deep underground are often discovered by accident. For example, the alkali mine described in the embodiment of the present invention was discovered during oil drilling. By obtaining a small amount of cores, the solid natural alkali mine grade analysis method based on X-ray diffraction technology of the present invention was established. For the exploration of alkali mines, it is necessary to obtain a large number of cores continuously from the suspected strata in the following, and the analysis method of the present invention can perform a preliminary screening of the grade of these cores to determine the approximate depth range of the ore-bearing section. It includes the following steps: 1) obtaining a number of core samples at different depths in the area to be explored; 2) applying the aforementioned analysis method to obtain the alkali ore grade of each sample; 3) determining the depth of the alkali ore-bearing section according to the alkali ore grade value. In step 1), sampling is performed every 10 cm, and the sampling amount is 10 g each time; and / or, in step 3), the depth section where the alkali ore grade value is greater than 10% is defined as the depth of the alkali ore-bearing section.

[0044] 2. Mineral deposits that are exposed on the surface or buried very shallowly

[0045] This type of ore deposit sample is easy to obtain. Many shallow drill holes can be drilled to obtain samples, and the depth range and breadth (plane distribution) range can be defined at the same time. The following steps are included: 1) Obtain a number of core samples from nodes in different ranges of the area to be explored; 2) Apply the aforementioned analysis method to obtain the alkali ore grade of each sample; 3) Determine the plane distribution range of the alkali ore-bearing section based on the alkali ore grade value. In step 1), sampling is performed every 10 cm, and the sampling volume each time is 10 g; and / or, in step 3), the node range with an alkali ore grade value greater than 10% is used as the plane distribution range of the alkali ore-bearing section.

[0046] The beneficial effects of the present invention are:

[0047] The solid natural alkali ore grade analysis method based on X-ray diffraction technology provided by the present invention shortens the detection time of a single sample from 72 hours to 20 minutes, with a detection error within 5%, and can also obtain the type of alkali ore and mineral composition information. Especially in the early stage of alkali ore exploration, the analysis method of the present invention, combined with a small X-ray diffractometer, can realize the rapid detection of grade at the drilling site, saving a lot of time for the exploration and evaluation of alkali ore. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The core characteristics and sampling location settings for Well A;

[0049] Figure 2 Set up the core characteristics and sampling locations for Well B;

[0050] Figure 3 This is the X-ray diffraction spectrum and phase analysis of sample A1;

[0051] Figure 4 This is the X-ray diffraction spectrum and phase analysis of sample A2;

[0052] Figure 5 This is the X-ray diffraction spectrum and phase analysis of sample A3;

[0053] Figure 6 This is the X-ray diffraction spectrum and phase analysis of sample A4;

[0054] Figure 7 This is the X-ray diffraction spectrum and phase analysis of sample B1;

[0055] Figure 8 This is the X-ray diffraction spectrum and phase analysis of sample B2;

[0056] Fig. 9 This is the X-ray diffraction spectrum and phase analysis of sample B3. DETAILED DESCRIPTION

[0057] The following is a detailed description of the rapid analysis method of solid alkali ore grade by taking an underground solid alkali ore discovered in a certain place as an example. This alkali ore was discovered for the first time, and its mineral composition, grade, distribution range, etc. were unknown. It was urgent to explore the ore layer and find out the distribution characteristics of the industrial value alkali ore layer.

[0058] Step 1: Parallel sample preparation

[0059] ① Observe the ore core and determine the sampling location:

[0060] In the early stage, only two wells obtained alkali ore cores. Well A is mainly characterized by oil shale interbedded with alkali ore layers; Well B is mainly characterized by interbedded salt rock and alkali ore layers. Figure 1 , Figure 2As shown. Well A can be divided into 4 sections: Section A1 has high alkali ore content, Section A2 has medium alkali ore content; Section A3 has low alkali ore content; Section A4 has no ore; Well B can be divided into 3 sections: Section B1 is mainly salt rock with a small amount of alkali ore layer; Section B2 is a mixture of alkali ore and salt rock with medium alkali ore content; Section B3 has a high alkali ore content.

[0061] ② Grind the 7 samples at below 45°C to 200 mesh;

[0062] ③ Each sample was divided into two parts, namely parallel sample 1 and parallel sample 2, and stored in sealed ziplock bags.

[0063] Step 2: Sample testing

[0064] ① Grade detection. Parallel sample 1 was sent to a specialized chemical analysis laboratory, and the chemical titration analysis method was used to obtain the grade data ω, see Table 1;

[0065] Table 1 Grade test data

[0066] Sample No. <![CDATA[ω(Na2CO3+NaHCO3)]]> A1 78.96 A2 23.78 A3 5.55 A4 3.38 B1 1.27 B2 28.05 B3 61.00

[0067] ② X-ray diffraction analysis. Parallel sample 2 was subjected to X-ray diffraction analysis to determine the types of alkali minerals and associated minerals contained in the ore. The X-ray diffraction analysis spectra and phase analysis results of the 7 samples are shown in Figure 3-Figure 9 The parameters of the X-ray diffractometer were set as follows: copper target, power 3KW; emission slit 1 degree, receiving slit 0.3 mm; step length 0.02 degree; scanning range 2θ angle 5 to 45 degrees.

[0068] Step 3: Determine the calculation parameter K value of alkali minerals

[0069] ① From the X-ray diffraction phase analysis results, the alkali mineral in Well A is sodium bicarbonate; the alkali mineral in Well B is sodium carbonate. The alkali mineral content Ω is calculated according to Table 2, and the calculation results are shown in Table 3.

[0070] Table 2 Calculation table of different types of alkali mineral content

[0071] Alkali mineral types Chemical formula Mineral content Ω, % Natron <![CDATA[Na2CO3·10H2O]]> 2.698ω Water Soda <![CDATA[Na2CO3·H2O]]> 1.170ω Sodium carbonate <![CDATA[Na2CO3·NaHCO3·2H2O]]> 1.189ω Sodium Hydrogenate <![CDATA[Na2CO3·NaHCO3]]> ω Soda Stone <![CDATA[NaHCO3]]> ω

[0072] Table 3 Calculation of alkali mineral content Ω

[0073]

[0074] ② Calculate the K value of natural alkali mineral based on the results of X-ray diffraction phase analysis.

[0075] From the diffraction analysis results, the alkali minerals in the A well ore layer are sodium carbonate, accompanied by clay minerals, quartz, potassium feldspar, plagioclase, calcite, sodium carbonate, sodium carbonate, and sodium silicate, and their K values ​​are 0.5, 4.32, 2.05, 1.8, 2.86, 1.73, 1.73, and 2.86, respectively. The alkali minerals in the B well are sodium carbonate, accompanied by halite, sodium carbonate, and sodium silicate, and their K values ​​are 0.86, 1.39, and 2.86, respectively. The calculations for the 7 samples were performed according to the following formula, and the calculation results are shown in Table 4.

[0076]

[0077] Where: K x : K value of alkali minerals, dimensionless;

[0078] Ω: alkali mineral content;

[0079] I x : diffraction peak intensity of alkali minerals;

[0080] I i : diffraction peak intensity of associated mineral i;

[0081] K i : K value of associated mineral i;

[0082] n: number of associated mineral types.

[0083] Table 4 Calculation of K value of alkali minerals

[0084]

[0085] ③Through the above steps, it can be determined that two alkali minerals can be seen in this alkali ore block, namely sodium bicarbonate and sodium carbonate. Through calculation and taking the average value, the K values ​​of the two are 0.92 and 0.90 respectively.

[0086] Step 4: Detection of alkali ore grade

[0087] In the subsequent exploration of the alkali mine, sampling verification was carried out on other sections of Well A and Well B. 12 samples were selected from Well A and 4 samples were selected from Well B. Each sample was divided into two parts, one using the rapid detection method of the present invention and the other using the chemical analysis method, to verify the accuracy of the rapid detection method of the present invention.

[0088] The specific method for rapid detection of alkali ore grade is as follows:

[0089] ① Take about 100g of sample and crush it at below 45℃ to 200 mesh;

[0090] ② X-ray diffraction analysis to determine the types of alkali minerals and diffraction peak intensities, as well as the types of associated minerals and diffraction peak intensities;

[0091] ③Calculation of alkali mineral content

[0092] The alkali mineral content is calculated according to the following formula. The K values ​​of sodium bicarbonate and sodium carbonate are 0.92 and 0.90 respectively. The calculated alkali mineral content Ω is shown in Table 6.

[0093]

[0094] Where: Ω′: alkali mineral content;

[0095] K′ x : Sodium carbonate stone 0.92, sodium carbonate stone 0.90;

[0096] l′ x : diffraction peak intensity of alkali minerals;

[0097] I′ i : diffraction peak intensity of associated mineral i;

[0098] K′ i : K value of associated mineral i;

[0099] n: number of associated mineral types;

[0100] ④Calculation of alkali ore grade

[0101] The alkali minerals in Well A are sodium bicarbonate, and the alkali minerals in Well B are sodium carbonate. The grade ω is calculated according to Table 5, see Table 6. By comparing with the data of the chemical analysis method, it can be seen that the calculation error of the grade of the alkali ore mainly composed of sodium bicarbonate in Well A by this method is between -4.18 and 5.25, and the calculation error of the grade of the alkali ore mainly composed of sodium carbonate in Well B is between -4.23 and 4.91. When the grade of the alkali ore is lower than 5%, this method cannot detect it. According to the Geological and Mineral Industry Standard of the People's Republic of China DZ / T 0212.3-2020 "Mineral Geological Exploration Specification Salt Part 3: Ancient Solid Salts", the boundary grade of alkali ore is 17%. Therefore, the inability to detect samples below 5% has little effect on the confirmation of the alkali ore layer. This method is suitable for rapid survey of alkali ore grades.

[0102] Table 5 Grade calculation table of different types of alkali minerals

[0103] Alkali mineral types Chemical formula Grade ω, % Natron <![CDATA[Na2CO3·10H2O]]> Ω / 2.698 Water Soda <![CDATA[Na2CO3·H2O]]> Ω / 1.170 Sodium carbonate <![CDATA[Na2CO3·NaHCO3·2H2O]]> Ω / 1.189 Sodium Hydrogenate <![CDATA[Na2CO3·NaHCO3]]> Ω Soda Stone <![CDATA[NaHCO3]]> Ω

[0104] Table 6 Comparison between the analysis method of the present invention and the chemical analysis method

[0105]

[0106]

[0107] After the above four steps, an analysis method based on X-ray diffraction for the grade of alkali ore in the area was established. In the initial stage, parallel samples were selected for grade analysis and X-ray diffraction analysis to obtain the types of alkali minerals and the K value of the calculation parameter for the X-ray diffraction analysis of alkali minerals. The alkali mineral content of subsequent samples can be obtained through X-ray diffraction analysis, and the grade can be calculated through chemical composition. Through verification, this method shortens the detection time of a single sample from 72 hours to 20 minutes, and the detection error is within 5%. It is completely suitable for the rapid survey of alkali ore grades.

[0108] The preferred embodiments of the present invention are described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, a variety of simple modifications can be made to the technical solution of the present invention, and these simple modifications all belong to the protection scope of the present invention.

Claims

1. A solid natural alkali ore grade analysis method based on X-ray diffraction technology, characterized in that: The analysis method comprises: S1, prepare training set samples; S2, chemical titration analysis of training set samples to obtain alkali ore grade data; S3, collecting X-ray diffraction patterns of training set samples to obtain phase composition data; S4. Correcting the alkali ore grade data based on the physical phase composition data and establishing a relationship model between the corrected alkali ore grade data and the physical phase composition data; S5. Collect the X-ray diffraction spectrum of the sample to be tested to obtain phase composition data, and then use the relationship model established in step S4 to analyze and obtain the alkali ore grade data of the sample to be tested.

2. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 1, characterized in that: In step S1, a certain number of ore samples with different alkali ore contents are selected as training set samples.

3. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 2, characterized in that: In step S1, based on the observation of the ore core, ore samples with high alkali content, medium alkali content, low alkali content, and optional alkali-free ore are selected as training set samples.

4. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 2, characterized in that: The method also includes crushing the selected ore sample to 200 mesh at a temperature below 45°C.

5. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 1, characterized in that: In step S3, an X-ray diffractometer is used to collect the X-ray diffraction patterns of the training set samples, and the parameters of the X-ray diffractometer are set as follows: copper target, power 3KW; transmitting slit 1 degree, receiving slit 0.3mm; step length 0.02 degree; scanning range 2θ angle 5 degrees to 45 degrees.

6. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 1, characterized in that: In step S3, the phase composition data includes the alkali mineral type, the diffraction peak intensity of the alkali mineral, the associated mineral type and the diffraction peak intensity of the associated mineral of the training set samples.

7. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 6, characterized in that: The alkali mineral type is selected from any one of natron, soda ash, sodium carbonate, sodium bicarbonate and nahcolite.

8. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 6, characterized in that: The associated mineral type is selected from any one or more of clay minerals, quartz, feldspar, halite, gypsum, calcite and dolomite.

9. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 7, characterized in that: In step S4, the alkali ore grade data is corrected according to the alkali mineral type, and the correction is performed according to formula (1): Ω=ω×δ 碱矿物类型 (1) Where: Ω: the corrected alkali ore grade data of the training set samples; ω: Alkali ore grade data of training set samples before correction; δ 碱矿物类型 : Correction coefficient, where δ 泡碱 =2.698,δ 水碱 =1.170,δ 碳酸钠石 =1.189, d 碳氢钠石 =1,δ 苏打石 =1.

10. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 9, characterized in that: In step S4, the relationship model between the corrected alkali ore grade data and phase composition data is shown in formula (2): Where: K x : K value of alkali minerals in the training set samples, dimensionless; Ω: the alkali ore grade data of the corrected training set samples; I x : diffraction peak intensity of alkali minerals in training set samples; I i : diffraction peak intensity of associated mineral i of training set samples; K i : K value of associated mineral i in the training set sample; n: The number of associated mineral types in the training set samples.

11. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 1, characterized in that: In step S5, the phase composition data includes the alkali mineral type of the sample to be tested, the diffraction peak intensity of the alkali mineral, the associated mineral type and the diffraction peak intensity of the associated mineral.

12. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 11, characterized in that: The alkali mineral type is selected from any one of natron, soda ash, sodium carbonate, sodium bicarbonate and nahcolite.

13. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 11, characterized in that: The associated mineral type is selected from any one or more of clay minerals, quartz, feldspar, halite, gypsum, calcite and dolomite.

14. The solid natural alkali ore grade analysis method based on X-ray diffraction technology according to claim 1, characterized in that: In step S5, the method of analyzing and obtaining the alkali ore grade data of the sample to be tested by using the relationship model established in step S4 is as follows: the alkali ore grade data of the sample to be tested is calculated according to formulas (3) to (4); ω′=Ω′ / d 碱矿物类型 (4); Where: Ω′: alkali mineral content of the sample to be tested; K′ x : The average K value of alkali minerals in each training set sample, dimensionless; l′ x : diffraction peak intensity of the alkali mineral of the sample to be tested; I i ′: diffraction peak intensity of associated mineral i of the sample to be tested; K′ i : K value of the associated mineral i of the sample to be tested; n: the number of associated mineral types of the sample to be tested; ω′: Alkali ore grade data of the sample to be tested; δ 碱矿物类型 : Correction coefficient, where δ 泡碱 = 2.698, δ 水碱 = 1.170, δ 碳酸钠石 = 1.189, δ 碳氢钠石 = 1, δ 苏打石 = 1.

15. Application of the solid natural alkali ore grade analysis method based on X-ray diffraction technology according to any one of claims 1 to 14 in determining alkali ore reserves, characterized in that: The steps include: 1) Obtain core samples from the area to be explored; 2) applying the analysis method described in any one of claims 1 to 14 to obtain the alkali ore grade of the core sample; 3) Obtain the length, width, height and alkali mineral density of the area to be explored; 4) Calculate the alkali ore reserves: alkali ore reserves = length × width × height × alkali ore density × alkali ore grade.

16. Application of the solid natural alkali ore grade analysis method based on X-ray diffraction technology as described in any one of claims 1 to 14 in delineating the distribution range of alkali ore.

17. The use according to claim 16, characterized in that The application is to determine the depth of the alkali ore-bearing section of an underground ore deposit, comprising the following steps: 1) Obtain several core samples at different depths in the area to be explored; 2) applying the analytical method described in any one of claims 1 to 14 to obtain the alkali ore grade of each sample; 3) Determine the depth of the alkali ore-bearing section based on the alkali ore grade value.

18. The use according to claim 17, characterized in that In step 1), sampling is performed every 10 cm, and the sampling amount each time is 10 g; and / or, in step 3), the depth section where the alkali ore grade value is greater than 10% is defined as the depth of the alkali ore-bearing section.

19. The use according to claim 16, characterized in that: The application is to determine the plane distribution range of the alkali ore-bearing section of the open-pit mine, including the following steps: 1) Obtain several core samples from different range nodes in the area to be explored; 2) applying the analytical method described in any one of claims 1 to 14 to obtain the alkali ore grade of each sample; 3) Determine the plane distribution range of the alkali ore-bearing section based on the alkali ore grade value.

20. The use according to claim 19, characterized in that In step 1), sampling is performed every 10 cm, and the sampling amount each time is 10 g; and / or, in step 3), the node range where the alkali ore grade value is greater than 10% is used as the plane distribution range of the alkali ore-bearing section.

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