Method for detecting alkali consumption under interaction of multiple influencing minerals in ore pulp

Abstract

The application provides a method for detecting alkali consumption of multiple influence minerals under interaction, and belongs to the technical field of ore pulp alkali consumption detection. The application finally determines the alkali consumption of multiple influence minerals under interaction through sample preparation, automatic mineralogy analysis (MLA) quantification, raw ore alkali consumption test, target mineral high-efficiency separation and alkali consumption determination, multiple mineral interaction alkali consumption and coefficient determination. Through multiple mineral interaction analysis, the alkali consumption and coefficient of complex mineral interaction are determined, which breaks through the limitation of traditional "simple superposition" analysis and provides full-chain data support for leaching process optimization.

Description

Technical Field

[0001] This invention relates to the field of alkali consumption detection technology, specifically to a method for detecting alkali consumption in slurry under the influence of multiple mineral interactions. Background Technology

[0002] In hydrometallurgical processes, the stable control of slurry pH is a key factor determining leaching efficiency, metal recovery rate, and reagent costs. However, acid-consuming minerals such as clay minerals, carbonate minerals, and gypsum in the ore continuously consume alkali agents through complex processes such as dissolution and ion exchange, leading to large fluctuations in alkalinity and high conditioning costs, thus creating an "alkalinity conditioning dilemma."

[0003] Existing technologies suffer from two major drawbacks: first, the location of mineral influence is ambiguous, as traditional methods can only measure overall alkali consumption and cannot distinguish the contribution of individual minerals; second, separation efficiency is low, as interference or incomplete separation is easily introduced during mineral separation, leading to errors in threshold calculation. Therefore, developing a method that can accurately locate mineral influence and efficiently separate target minerals has become an urgent need in the industry. Summary of the Invention

[0004] In view of the technical problems existing in the background art, this application provides a method for detecting alkali consumption in slurry under the interaction of multiple influencing minerals, aiming to solve the problems that existing methods for detecting alkali consumption in slurry cannot distinguish the contribution of a single mineral, have inaccurate threshold determination, and cannot determine the impact of the interaction between minerals on alkali consumption.

[0005] This application provides a method for detecting alkali consumption in slurry under the influence of multiple mineral interactions, comprising the following steps:

[0006] S1. Preparation of experimental samples

[0007] Representative ore samples were selected, crushed, sieved, mixed, and then finely ground to obtain standardized ore samples.

[0008] S2. Raw ore alkali consumption test

[0009] The standardized ore sample was subjected to an alkali adjustment experiment, and the baseline alkali consumption was denoted as A.

[0010] S3. Separation of target minerals and determination of alkali consumption

[0011] The standardized ore samples were then separated into clay minerals, carbonate minerals, and gypsum minerals, respectively.

[0012] Separation of clay minerals: The standardized ore sample is separated into clay minerals using "selective flocculation-centrifugation classification". The standardized ore sample after separation of clay minerals is re-examined by automatic mineralogical analysis. After confirming that no clay minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of clay minerals. The alkali consumption is recorded as B. Then the threshold N of clay minerals is N=AB.

[0013] Separation of carbonate minerals: The standardized ore sample is separated from carbonate minerals using the "selective dissolution method with weak acid buffer". The standardized ore sample after separation of carbonate minerals is re-examined by automatic mineralogical analysis. After confirming that no carbonate minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of carbonate minerals. The alkali consumption is recorded as C. Then the threshold M of carbonate minerals is M=AC.

[0014] Gypsum mineral separation: The standardized ore sample is separated into gypsum minerals using the "low temperature recrystallization-filtration separation method". The standardized ore sample after gypsum mineral separation is re-examined by automatic mineralogical analysis. After confirming that no gypsum minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after gypsum mineral separation. The alkali consumption is recorded as D. Then the threshold S of gypsum minerals is S=AD.

[0015] S4. Alkali consumption for target mineral interactions

[0016] After separating the target mineral from the standardized ore sample in sequence according to the "selective flocculation-centrifugation classification", "selective dissolution method with weak acid buffer", and "low temperature recrystallization-filtration separation method" described in step S3, the standardized ore sample after separating the target mineral is re-examined by automatic mineralogical analysis. After confirming that no target mineral remains, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separating the target mineral. The alkali consumption is recorded as E, and the threshold Z for target mineral superposition is Z=AE.

[0017] S5. Determination of the interaction coefficient of target minerals and judgment of the synergistic alkali consumption effect among target minerals

[0018] The interaction coefficient of the target mineral is denoted as I, then I = {Z - (N + M + S)} / (N + M + S) × 100%;

[0019] When I>5%, the measured total contribution of the target mineral to alkali consumption is greater than the theoretical contribution, indicating a synergistic alkali consumption effect among minerals, resulting in a higher total alkali consumption than when each mineral acts alone.

[0020] When I < -5%, the measured total contribution of the target mineral to alkali consumption is less than the theoretical contribution, indicating an antagonistic and inhibitory effect between minerals, resulting in a lower total alkali consumption than when each mineral acts alone.

[0021] When -5%≤I≤5%, the deviation is within the allowable range, there is no significant interaction between minerals, and the total alkali consumption is close to the theoretical superposition value.

[0022] In the technical solution of this application embodiment, the alkali consumption of the slurry under the interaction of multiple influencing minerals is finally determined through sample preparation, MLA quantification, raw ore alkali consumption test, efficient separation and alkali consumption determination of the target mineral, and determination of alkali consumption and coefficient of multi-mineral interaction. Through innovative targeted separation technology, the problems of "cross-contamination and low efficiency" in separation are solved, ensuring accurate stripping of the influence of a single mineral. Through multi-mineral interaction analysis, the alkali consumption and coefficient of complex mineral interactions are determined, breaking through the limitations of traditional "simple superposition" analysis and providing full-chain data support for leaching process optimization.

[0023] In some embodiments, step S2 specifically includes the following steps: take 100g of standardized ore sample, add deionized water at a liquid-to-solid ratio of 3:1, use an automatic titration system equipped with a constant temperature magnetic stirrer and pH electrode, add 0.5mol / L Ca(OH)2 solution dropwise at a rate of 0.5mL / min, record the pH value in real time until the pH value stabilizes at 10 and is maintained for 5min, and record the alkali consumption.

[0024] In some embodiments, step S3, the "selective flocculation-centrifugal classification" includes the following steps: adding 0.1% polyacrylamide to a standardized ore sample, stirring at 200 r / min for 13 min, and then centrifuging at 3000 r / min for 10 min; the molecular weight of the polyacrylamide is 8 million.

[0025] In this embodiment, clay minerals (such as montmorillonite and illite) contain active ingredients such as aluminosilicates, which react with Ca(OH)2 under the condition of water participation, affecting the alkali consumption; clay minerals (such as montmorillonite and illite) are removed by "selective flocculation-centrifugal classification".

[0026] In some embodiments, step S3, the "selective dissolution method with weak acid buffer solution" specifically includes the following steps: soaking the standardized ore sample in 25% hydrochloric acid and stirring at 30°C for 30 min; the liquid-solid ratio of the hydrochloric acid to the ore sample is 4:1.

[0027] In this embodiment, carbonate minerals (such as calcite and dolomite) have a weak interference with the alkalinity adjustment of Ca(OH)2 at room temperature, mainly through CO32-. 2− / HCO3 −The buffer pair slows down the increase in pH. When the content is high, a small amount of Ca(OH)2 needs to be added, but it will not fundamentally prevent the adjustment of the alkali to the target pH value. The carbonate minerals (such as calcite, dolomite, etc.) are removed by the "selective dissolution method of weak acid buffer".

[0028] In some embodiments, step S3, the "low-temperature recrystallization-filtration separation method" specifically includes the following steps: adding deionized water to the standardized ore sample at a liquid-solid ratio of 3:1, then heating to 60°C, stirring for 26 minutes, then cooling to 10°C, and then filtering through a 0.45μm filter membrane.

[0029] In this embodiment, gypsum does not consume Ca(OH)2, but it inhibits its dissolution and also affects alkali consumption; gypsum minerals are removed by "low-temperature recrystallization-filtration separation method".

[0030] In some embodiments, in step S1, the fine grinding involves 80% of the particles being -200 mesh.

[0031] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Detailed Implementation

[0032] The embodiments of the technical solution of this application are described in detail below. The following embodiments are only used to illustrate the technical solution of this application more clearly, and are therefore only examples, and should not be used to limit the scope of protection of this application.

[0033] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0034] To address the shortcomings of existing methods for detecting alkali consumption in slurry, such as the inability to distinguish the contribution of a single mineral, inaccurate threshold determination, and the inability to determine the impact of mineral interactions on alkali consumption, this application provides a method for detecting alkali consumption in slurry under the influence of multiple mineral interactions. Through sample preparation, MLA quantification, raw ore alkali consumption test, efficient separation and alkali consumption determination of target minerals, and determination of alkali consumption and coefficients of multiple mineral interactions, the alkali consumption in slurry under the influence of multiple mineral interactions is finally determined. The target minerals are clay minerals, carbonate minerals, and gypsum. Clay minerals (such as montmorillonite and illite) contain active components such as aluminosilicates, which react with Ca(OH)2 under the presence of water, affecting alkali consumption. Carbonate minerals (such as calcite and dolomite) have a weak interference with Ca(OH)2 alkali adjustment at room temperature, mainly through CO32-. 2− / HCO3 − The buffer pair slows down the pH increase. At high concentrations, a small amount of Ca(OH)2 needs to be added, but it will not fundamentally hinder the adjustment of alkali to the target pH value. Gypsum does not consume Ca(OH)2, but it inhibits its dissolution and also affects alkali consumption. The target minerals are separated by "selective flocculation-centrifugation classification", "selective dissolution method with weak acid buffer", and "low temperature recrystallization-filtration separation method". Through the innovation of targeted separation technology, the problems of "cross-contamination and low efficiency" in the separation are solved, ensuring the accurate removal of the influence of single minerals. Through multi-mineral interaction analysis, the alkali consumption and coefficient of complex mineral interactions are determined, breaking through the limitations of traditional "simple superposition" analysis and providing full-chain data support for leaching process optimization.

[0035] This application provides a method for detecting alkali consumption in slurry under the influence of multiple mineral interactions, comprising the following steps:

[0036] S1. Preparation of experimental samples

[0037] Representative ore samples were selected, crushed, sieved, mixed, and then finely ground to obtain standardized ore samples.

[0038] S2. Raw ore alkali consumption test

[0039] The standardized ore sample was subjected to an alkali adjustment experiment, and the baseline alkali consumption was denoted as A.

[0040] S3. Separation of target minerals and determination of alkali consumption

[0041] The standardized ore samples were then separated into clay minerals, carbonate minerals, and gypsum minerals, respectively.

[0042] Separation of clay minerals: The standardized ore sample is separated into clay minerals using "selective flocculation-centrifugation classification". The standardized ore sample after separation of clay minerals is re-examined by automatic mineralogical analysis. After confirming that no clay minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of clay minerals. The alkali consumption is recorded as B. Then the threshold N of clay minerals is N=AB.

[0043] Separation of carbonate minerals: The standardized ore sample is separated from carbonate minerals using the "selective dissolution method with weak acid buffer". The standardized ore sample after separation of carbonate minerals is re-examined by automatic mineralogical analysis. After confirming that no carbonate minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of carbonate minerals. The alkali consumption is recorded as C. Then the threshold M of carbonate minerals is M=AC.

[0044] Gypsum mineral separation: The standardized ore sample is separated into gypsum minerals using the "low temperature recrystallization-filtration separation method". The standardized ore sample after gypsum mineral separation is re-examined by automatic mineralogical analysis. After confirming that no gypsum minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after gypsum mineral separation. The alkali consumption is recorded as D. Then the threshold S of gypsum minerals is S=AD.

[0045] S4. Alkali consumption for target mineral interactions

[0046] After separating the target mineral from the standardized ore sample in sequence according to the "selective flocculation-centrifugation classification", "selective dissolution method with weak acid buffer", and "low temperature recrystallization-filtration separation method" described in step S3, the standardized ore sample after separating the target mineral is re-examined by automatic mineralogical analysis. After confirming that no target mineral remains, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separating the target mineral. The alkali consumption is recorded as E, and the threshold Z for target mineral superposition is Z=AE.

[0047] S5. Determination of the interaction coefficient of target minerals and judgment of the synergistic alkali consumption effect among target minerals

[0048] The interaction coefficient of the target mineral is denoted as I, then I = {Z - (N + M + S)} / (N + M + S) × 100%;

[0049] When I>5%, the measured total contribution of the target mineral to alkali consumption is greater than the theoretical contribution, indicating a synergistic alkali consumption effect among minerals, resulting in a higher total alkali consumption than when each mineral acts alone.

[0050] When I < -5%, the measured total contribution of the target mineral to alkali consumption is less than the theoretical contribution, indicating an antagonistic and inhibitory effect between minerals, resulting in a lower total alkali consumption than when each mineral acts alone.

[0051] When -5%≤I≤5%, the deviation is within the allowable range, there is no significant interaction between minerals, and the total alkali consumption is close to the theoretical superposition value.

[0052] In the technical solution of this application embodiment, the alkali consumption of the slurry under the interaction of multiple influencing minerals is finally determined through sample preparation, MLA quantification, raw ore alkali consumption test, efficient separation and alkali consumption determination of the target mineral, and determination of alkali consumption and coefficient of multi-mineral interaction. Through innovative targeted separation technology, the problems of "cross-contamination and low efficiency" in separation are solved, ensuring accurate stripping of the influence of a single mineral. Through multi-mineral interaction analysis, the alkali consumption and coefficient of complex mineral interactions are determined, breaking through the limitations of traditional "simple superposition" analysis and providing full-chain data support for leaching process optimization.

[0053] Further, in some embodiments, step S2, the alkali adjustment experiment specifically includes the following steps: take 100g of standardized ore sample, add deionized water at a liquid-to-solid ratio of 3:1, use an automatic titration system equipped with a constant temperature magnetic stirrer and pH electrode, add 0.5mol / L Ca(OH)2 solution dropwise at a rate of 0.5mL / min, record the pH value in real time until the pH value stabilizes at 10 and is maintained for 5min, and record the alkali consumption.

[0054] Furthermore, in some embodiments, step S3, the "selective flocculation-centrifugal classification" includes the following steps: adding 0.1% polyacrylamide to a standardized ore sample, stirring at 200 r / min for 13 min, and then centrifuging at 3000 r / min for 10 min; the molecular weight of the polyacrylamide is 8 million.

[0055] In the technical solution of this application embodiment, clay minerals (such as montmorillonite and illite) contain active ingredients such as aluminosilicates, which will react with Ca(OH)2 under the condition of water participation, affecting the alkali consumption; clay minerals (such as montmorillonite and illite) are removed by "selective flocculation-centrifugal classification".

[0056] Furthermore, in some embodiments, step S3, the "selective dissolution method with weak acid buffer solution" specifically includes the following steps: soaking the standardized ore sample in 25% hydrochloric acid and stirring at a constant temperature of 30°C for 30 minutes; the liquid-solid ratio of the hydrochloric acid to the ore sample is 4:1.

[0057] In the technical solution of this application embodiment, carbonate minerals (such as calcite, dolomite, etc.) have a weak interference with the alkali adjustment of Ca(OH)2 at room temperature, mainly through "CO3". 2− / HCO3 −The buffer pair slows down the increase in pH. When the content is high, a small amount of Ca(OH)2 needs to be added, but it will not fundamentally prevent the adjustment of the alkali to the target pH value. The carbonate minerals (such as calcite, dolomite, etc.) are removed by the "selective dissolution method of weak acid buffer".

[0058] Furthermore, in some embodiments, step S3, the "low-temperature recrystallization-filtration separation method" specifically includes the following steps: adding deionized water to the standardized ore sample at a liquid-solid ratio of 3:1, then heating to 60°C, stirring for 26 minutes, then cooling to 10°C, and then filtering through a 0.45μm filter membrane.

[0059] In the technical solution of this application embodiment, gypsum does not consume Ca(OH)2, but it inhibits its dissolution and also affects alkali consumption; gypsum minerals are removed by "low temperature recrystallization-filtration separation method".

[0060] Furthermore, in some embodiments, in step S1, the fine grinding involves 80% of the particles having a particle size of -200 mesh.

[0061] The following are some specific embodiments. It should be noted that the embodiments described below are exemplary and are only used to explain this application, and should not be construed as limiting this application. Where specific techniques or conditions are not specified in the embodiments, they shall be performed in accordance with the techniques or conditions described in the literature in this field or according to the product instructions. Reagents or instruments whose manufacturers are not specified are all conventional products that can be obtained commercially.

[0062] Example 1

[0063] This embodiment provides a method for detecting alkali consumption in slurry under the influence of multiple mineral interactions, specifically including the following steps:

[0064] (1) Select representative ore samples, crush them with a jaw crusher, screen them, mix them, and then grind them to a particle size of -200 mesh accounting for 80% to obtain standardized ore samples.

[0065] (2) Take 100g of standardized ore sample, add deionized water at a liquid-solid ratio of 3:1, use an automatic titration system equipped with constant temperature magnetic stirring and pH electrode, add 0.5mol / L Ca(OH)2 solution at a rate of 0.5mL / min, record the pH value in real time until the pH value stabilizes at 10 and is maintained for 5min, and record the alkali consumption A=102.46ml.

[0066] (3) Take 100g of standardized ore sample, add 0.1% polyacrylamide (molecular weight of 8 million), stir at 200r / min for 13min, centrifuge at 3000r / min for 10min to obtain standardized ore sample after separating clay minerals. After verifying that no clay minerals remain by the automatic mineral analysis system, repeat the alkali adjustment test in step (2) on the standardized ore sample after separating clay minerals. The alkali consumption B = 20.77ml. Calculate the clay mineral threshold N = AB = 102.46 - 20.77 = 81.69ml;

[0067] Take 100g of standardized ore sample, soak the standardized ore sample in 25% hydrochloric acid (liquid-solid ratio of 4:1), stir at 30℃ for 30min to obtain standardized ore sample after separation of carbonate minerals. After verifying that no clay minerals remain by the automatic mineral analysis system, repeat the alkali adjustment test in step (2) on the standardized ore sample after separation of carbonate minerals. Alkali consumption C=97.08ml, calculate carbonate mineral threshold M=AC=102.46-97.08=5.38ml;

[0068] Take 100g of standardized ore sample, add deionized water at a liquid-solid ratio of 3:1, heat to 60℃, stir for 26min, then cool to 10℃, and then filter through a 0.45μm filter membrane to obtain the standardized ore sample after separating gypsum minerals. After verifying that no clay minerals are left by the automatic mineral analysis system, repeat the alkali adjustment test in step (2) on the standardized ore sample after separating gypsum minerals. The alkali consumption is D=93.59ml, and the gypsum mineral threshold S=AD=102.46-93.59=8.87ml is calculated.

[0069] (4) Take 100g of standardized ore sample and remove clay, carbonate and gypsum minerals in sequence using the method described in step (3). After the standardized ore sample after the separation of clay, carbonate and gypsum minerals is re-examined by automatic mineralogical analysis, and after confirming that no clay, carbonate and gypsum minerals remain, repeat step (2) alkali adjustment experiment on the standardized ore sample after the separation of clay, carbonate and gypsum minerals. The alkali consumption is recorded as E. Then the threshold of the target mineral superposition Z=AE=102.46-0.79=101.67ml.

[0070] (5) The interaction coefficient of the target mineral is denoted as I, then I={Z-(N+M+S)} / (N+M+S)×100%= {101.67-(81.69+5.38+8.87)} / (81.69+5.38+8.87)=5.73 / 95.94=5.97%;

[0071] In this embodiment, I>5%, indicating that the measured total contribution of the target mineral to alkali consumption is greater than the theoretical contribution, and there is a synergistic alkali consumption effect among the minerals, with the total alkali consumption being higher than when they act alone.

[0072] To verify the accuracy of the results, MLA was used to quantitatively analyze the target minerals (clay, carbonate, and gypsum) in the ore. The contents of the target minerals in the standardized ore samples were measured as follows: the relative contents of clay minerals (kaolinite 5.86%, montmorillonite 3.90%) were 9.76%, and the relative contents of carbonate minerals (calcite 16.43%, dolomite 7.04%) were 23.47%. At this point, the carbonate minerals mainly play a role in delaying the increase of pH value during the alkali adjustment process, so they will not contribute to the theoretical alkali consumption. The relative contents of gypsum were 4.36%. Gypsum does not consume Ca(OH)2, so it will not contribute to the theoretical alkali consumption either. Based on the mineral chemical composition, a "mineral content-potential alkali consumption correlation model" was established to analyze its theoretical alkali consumption contribution, as shown in Table 1.

[0073] Table 1. Content of target minerals and their theoretical alkali consumption contribution

[0074]

[0075] 3.04g of Ca(OH)2 is converted to 0.5mol / L Ca(OH)2 solution, which is 3.04 / 74 / 0.5=82.2ml, less than the actual alkali consumption of the target mineral, which is 101.6ml.

[0076] The above experiments show that the conclusions of the scheme in this application are correct and have practical reference value.

[0077] In summary, this application provides a method for detecting alkali consumption in slurry under the influence of multiple mineral interactions. Through sample preparation, MLA quantification, raw ore alkali consumption test, efficient separation and alkali consumption determination of target minerals, and determination of alkali consumption and coefficients of multiple mineral interactions, the alkali consumption in slurry under the influence of multiple mineral interactions is finally determined. The target minerals are clay minerals, carbonate minerals, and gypsum. Clay minerals (such as montmorillonite and illite) contain active components such as aluminosilicates, which react with Ca(OH)2 under the presence of water, affecting alkali consumption. Carbonate minerals (such as calcite and dolomite) have a weak interference with Ca(OH)2 alkali adjustment at room temperature, mainly through CO32-. 2− / HCO3 −The buffer pair affects alkali consumption. Gypsum does not consume Ca(OH)2, but it inhibits its dissolution, which also affects alkali consumption. The target minerals were separated by "selective flocculation-centrifugation fractionation", "selective dissolution method with weak acid buffer", and "low temperature recrystallization-filtration separation method". Through the innovation of targeted separation technology, the problems of "cross-contamination and low efficiency" in the separation were solved, ensuring the accurate removal of the influence of single minerals. Through multi-mineral interaction analysis, the alkali consumption and coefficient of complex mineral interactions were determined, breaking through the limitations of traditional "simple superposition" analysis and providing full-chain data support for leaching process optimization.

[0078] It should be noted that this application is not limited to the above-described embodiments. The above embodiments are merely examples, and any embodiments with the same structure and effect as the technical concept within the scope of this application are included in the technical scope of this application. Furthermore, various modifications that can be conceived by those skilled in the art to the embodiments, and other ways of constructing by combining some of the constituent elements of the embodiments, without departing from the spirit of this application, are also included in the scope of this application.

Claims

1. A method for detecting alkali consumption in slurry under the influence of multiple mineral interactions, characterized in that, Includes the following steps: S1. Preparation of experimental samples Representative ore samples were selected, crushed, sieved, mixed, and then finely ground to obtain standardized ore samples. S2. Raw ore alkali consumption test The standardized ore sample was subjected to an alkali adjustment experiment, and the baseline alkali consumption was denoted as A. S3. Separation of target minerals and determination of alkali consumption The standardized ore samples were then separated into clay minerals, carbonate minerals, and gypsum minerals, respectively. Separation of clay minerals: The standardized ore sample is separated into clay minerals using "selective flocculation-centrifugation classification". The standardized ore sample after separation of clay minerals is re-examined by automatic mineralogical analysis. After confirming that no clay minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of clay minerals. The alkali consumption is recorded as B. Then the threshold N of clay minerals is N=AB. Separation of carbonate minerals: The standardized ore sample is separated from carbonate minerals using the "selective dissolution method with weak acid buffer". The standardized ore sample after separation of carbonate minerals is re-examined by automatic mineralogical analysis. After confirming that no carbonate minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of carbonate minerals. The alkali consumption is recorded as C. Then the threshold M of carbonate minerals is M=AC. Gypsum mineral separation: The standardized ore sample is separated into gypsum minerals using the "low temperature recrystallization-filtration separation method". The standardized ore sample after gypsum mineral separation is re-examined by automatic mineralogical analysis. After confirming that no gypsum minerals remain, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after gypsum mineral separation. The alkali consumption is recorded as D. Then the threshold S of gypsum minerals is S=AD. S4. Alkali consumption for target mineral interactions After separating the target mineral from the standardized ore sample in sequence according to the "selective flocculation-centrifugation classification", "selective dissolution method with weak acid buffer", and "low temperature recrystallization-filtration separation method" described in step S3, the standardized ore sample after separation of the target mineral is re-examined by automatic mineralogical analysis. After confirming that no target mineral remains, the alkali adjustment experiment described in step S2 is repeated on the standardized ore sample after separation of the target mineral. The alkali consumption is recorded as E, and the threshold Z for target mineral superposition is Z=AE. S5. Determination of the interaction coefficient of target minerals and judgment of the synergistic alkali consumption effect among target minerals The interaction coefficient of the target mineral is denoted as I, then I = {Z - (N + M + S)} / (N + M + S) × 100%; When I>5%, the measured total contribution of the target mineral to alkali consumption is greater than the theoretical contribution, indicating a synergistic alkali consumption effect among minerals, resulting in a higher total alkali consumption than when each mineral acts alone. When I < -5%, the measured total contribution of the target mineral to alkali consumption is less than the theoretical contribution, indicating an antagonistic and inhibitory effect between minerals, resulting in a lower total alkali consumption than when each mineral acts alone. When -5%≤I≤5%, the deviation is within the allowable range, there is no significant interaction between minerals, and the total alkali consumption is close to the theoretical alkali consumption value.

2. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 1, characterized in that, In step S2, the alkali adjustment experiment specifically includes the following steps: Take 100g of ore sample, add deionized water at a liquid-to-solid ratio of 3:1, use an automatic titration system equipped with a constant temperature magnetic stirrer and pH electrode, add 0.5mol / L Ca(OH)2 solution dropwise at a rate of 0.5mL / min, record the pH value in real time until the pH value stabilizes at 10 and is maintained for 5min, and record the alkali consumption.

3. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 1, characterized in that, In step S3, the "selective flocculation-centrifugal classification" includes the following steps: add 0.1% polyacrylamide to the standardized ore sample, stir for 13 minutes at 200 r / min, and then centrifuge at 3000 r / min for 10 minutes.

4. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 3, characterized in that, The polyacrylamide has a molecular weight of 8 million.

5. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 1, characterized in that, In step S3, the "selective dissolution method with weak acid buffer solution" specifically includes the following steps: soaking the standardized ore sample in 25% hydrochloric acid and stirring at a constant temperature of 30°C for 30 minutes.

6. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 5, characterized in that, The liquid-to-solid ratio of the hydrochloric acid and the standardized ore sample was 4:

1.

7. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 1, characterized in that, In step S3, the "low-temperature recrystallization-filtration separation method" specifically includes the following steps: adding deionized water to the standardized ore sample at a liquid-solid ratio of 3:1, then heating to 60°C, stirring for 26 minutes, then cooling to 10°C, and then filtering through a 0.45μm filter membrane.

8. The method for detecting alkali consumption in slurry under the influence of multiple mineral interactions according to claim 1, characterized in that, In step S1, the fine grinding involves 80% of the particles being -200 mesh.

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