Method for determining the density of an ore to be mined

Abstract

The application discloses a method for measuring density of ore to be mined, and relates to the technical field of mining and geological testing. The method comprises the following steps: preparing a comprehensive sample according to a selection ratio, performing multi-grain-level screening and calculating a yield; performing automatic mineralogy analysis on each grain-level sample, calculating overall mineral content and theoretical density; measuring sample porosity, and performing primary correction on the theoretical density; measuring actual measured density of the multi-region sample and the comprehensive sample, calculating a correction coefficient K, and performing secondary correction. The application solves the problem of mineral representation deviation by using grain-level yield weighting, solves the interference problem of structural defects and system deviation by using porosity and correction coefficient, significantly improves the accuracy of actual apparent density measurement of the ore, and is particularly suitable for rapid and accurate analysis of the density of the ore to be mined in a complex occurrence state, thereby providing reliable data support for mine ore matching, resource reserve estimation and ore dressing process design.

Description

Technical Field

[0001] This invention relates to the field of mining and geological testing and analysis technology, specifically to a method for determining the density of ore to be mined. Background Technology

[0002] Ore density is one of the most fundamental and critical physical parameters in mining and mineral processing, and its accuracy is crucial throughout the entire lifecycle of resource assessment, mining design, beneficiation and metallurgical process optimization, and economic benefit evaluation. In resource estimation, even small deviations in density data can be amplified dramatically by the multiplier effect of large ore bodies, directly leading to overestimation or underestimation of reserves and misleading investment decisions and mine life predictions. It is of great significance in mine design and capacity management, blasting design, ensuring mine safety, and controlling subsequent beneficiation and metallurgical processes and equipment selection.

[0003] Automated mineralogical analysis techniques (such as MLA, QEMSCAN, and TIMA) can accurately identify mineral types and quantify their content. The theoretical density calculated based on this is more mineralogically grounded, and can be obtained with a small sample combined with macroscopic pore characteristics, yielding density measurement results with greater engineering significance. However, different ore types (such as dense magnetite, porous oxide ore, and fractured heap leaching ore) exhibit significant differences in apparent density. Therefore, density measurement must be coupled with ore characteristics, and a targeted calibration model must be established. Current ore density measurement technology systems suffer from three core technical problems that seriously affect mine process calculations. First, they neglect the density response differences in multi-size yield distributions. Existing technologies mostly use fixed-size or whole-rock representative samples for measurement, employing homogenized density values ​​for process calculations. However, during ore crushing, grinding, and heap leaching, multi-size particle groups are formed, exhibiting significant component segregation. For example, brittle valuable minerals are mostly enriched in the fine-grained size, while tough gangue is concentrated in the coarse-grained size, leading to a mismatch between the true density and mass yield of each size. Ignoring the correlation between particle size, density, and yield can lead to errors in material balance calculations, particularly impacting the accuracy of density-sensitive processes such as gravity separation and heavy media separation. Secondly, the spatial variability of multi-point sampling lacks systematic error correction. Ore bodies are highly heterogeneous, with natural differences in ore density at different spatial locations. Existing methods rely on only a small number of discrete sampling points, assigning a single density value to the ore block through simple averaging or interpolation. This fails to quantitatively characterize the relationship between sampling density, spatial variability, and estimation error, and cannot reflect the three-dimensional spatial probability distribution characteristics of ore body density. Finally, porosity characteristics are not effectively integrated with theoretical density. Existing technologies can only calculate the theoretical true density of mineral solids; the apparent density correction model required for engineering applications is relatively coarse.

[0004] In view of this, there is an urgent need to develop a comprehensive method for ore density calibration and determination that integrates multi-scale yield distribution correction, multi-point sampling spatial error assessment, and multi-scale porosity accurate characterization. This method would improve the practicality of density data in mineral processing engineering and the reliability of process calculations, and provide more accurate density basis for the parameter design of heap leaching processes. Summary of the Invention

[0005] In view of the technical problems existing in the background art, the present invention provides a method for determining the density of ore to be mined. The method involves classifying the comprehensive ore sample obtained by blending according to particle size, performing automatic mineralogical analysis on each particle size, and calculating the overall theoretical density of the ore by weighting the sieve yield. Then, a porosity parameter is introduced to perform an initial correction of the theoretical density for structural defects. Furthermore, the measured density of samples from different regions and the comprehensive ore sample is obtained by the multi-point specific gravity bottle method, and the correction coefficient K is calculated for a second correction. This method significantly improves the accuracy and precision of the actual apparent density determination of the ore and is suitable for rapid and accurate analysis of the density of ore to be mined under complex occurrence conditions.

[0006] This invention provides a method for determining the density of an ore to be mined, comprising the following steps: S1. Based on the type of ore to be mined in the area to be mined and the proportion of each type, samples are taken from the sampling area corresponding to each type of ore, and a comprehensive ore sample is prepared according to the proportion of each type. S2. The composite ore sample is sieved into multiple particle sizes to obtain the yield of each particle size; S3. Based on the yield of each particle size, perform automatic mineralogical analysis on each particle size sample to obtain the mineral content of each particle size, and perform weighted calculation based on the mineral content of each particle size and the yield of each particle size to obtain the overall mineral content. S4. Calculate the theoretical density of the ore based on the overall mineral content and the theoretical density of each mineral; S5. Measure the porosity of the composite ore sample, and make an initial structural defect correction on the theoretical density of the ore based on the porosity to obtain the initial value of the actual apparent density of the ore. S6. Measure the actual density of the sampling area samples corresponding to each ore type and the composite ore sample respectively. Calculate the correction coefficient based on the actual density of the sampling area samples corresponding to each mineral type, the actual density of the composite ore sample, and the beneficiation ratio of the blending. S7. Based on the correction coefficient, the initial value of the actual apparent density of the ore is systematically corrected twice to obtain the actual apparent density of the ore.

[0007] As a further improvement of the present invention, in step S6, the correction coefficient is calculated according to the following formula: K=Σ[(c / Σc)×(ρ 测C / ρ 测综合样 )]; Where K is the correction coefficient, c is the blending mass of the Cth type ore sample, and ρ 测C ρ is the measured density of the C-type ore sample. 测综合样 This represents the measured density of the comprehensive ore sample.

[0008] As a further improvement of the present invention, in step S5, the initial value of the actual apparent density of the ore is calculated according to the following formula: ρ 矿石实际 = ρ 矿石理论 × (1 - e); Where, ρ 矿石实际 Let ρ be the initial value of the actual apparent density of the ore. 矿石理论 Let be the theoretical density of the ore, and e be the porosity of the composite ore sample.

[0009] As a further improvement of the present invention, in step S4, the theoretical density ρ of the ore 矿石理论 Calculate using the following formula: ρ 矿石理论 =Σ(Gn×ρ 矿物理论.n ); Where Gn is the percentage content of the nth target mineral in the overall composite ore sample, ρ 矿物理论.n Let be the theoretical density of the nth target mineral.

[0010] As a further improvement of the present invention, in step S7, the actual apparent density of the ore is calculated according to the following formula: ρ 矿石实际’ =ρ 矿石实际 ×K; Where, ρ 矿石实际’ This represents the actual apparent density of the ore. When standard measured density data is lacking, the correction factor K is taken in the empirical range of 1.00 to 1.15.

[0011] As a further improvement of the present invention, in step S6, when standard measured density data is lacking, the correction coefficient K is taken as 1.05 ± 0.03.

[0012] As a further improvement of the present invention, in step S2, the plurality of granular levels at least include: The first particle size range is greater than 0.500~0.300 mm, the second particle size range is less than or equal to 0.500~0.300 mm and greater than 0.100~0.074 mm, the third particle size range is less than or equal to 0.100~0.074 mm and greater than 0.037~0.010 mm, and the fourth particle size range is less than or equal to 0.037~0.010 mm.

[0013] As a further improvement of the present invention, in step S5, the porosity is determined by mercury intrusion porosimetry, gas adsorption, or porosity identification based on automated mineralogical images.

[0014] As a further improvement of the present invention, in step S6, the measured density is determined by the specific gravity bottle method, and the sampling area samples corresponding to each type of ore and the comprehensive ore sample are finely ground to a particle size of less than 200 mesh before measurement.

[0015] As a further improvement of the present invention, in step S3, the automatic mineralogy analysis includes: mixing the sieved samples of each particle size with resin to prepare mosaic samples, polishing the mosaic samples to form a measuring surface, and performing mineral phase identification and quantitative analysis on the measuring surface; the resin is epoxy resin, and the volume ratio of the sieved sample to the epoxy resin is less than 1:5.

[0016] Beneficial effects: The present invention provides a method for measuring the theoretical density and actual apparent density of ores based on automated mineralogical analysis, which standardizes the entire process from sampling, sample mixing, sieving, sample preparation, analysis to density correction, and introduces a location / property-related correction coefficient to improve the accuracy of density calculation.

[0017] 1. Multi-grain size coupling: Introducing grain size yield into mineral content calculation eliminates sampling bias caused by uneven ore dispersal characteristics and mineral distribution differences, avoids coarse-grained dominant error, and makes theoretical density calculation more representative.

[0018] 2. Sample preparation to prevent false particles: control the volume ratio of resin to sample to avoid errors in material composition caused by misidentifying individual minerals as intergrowths.

[0019] 3. Porosity correction: Combining theoretical density with measured porosity, it more closely reflects the actual packing state of the ore.

[0020] 4. Ore property correction: Allows for multi-point on-site sampling to correct system deviations, improving the adaptability of the method under different mining areas / lithologies.

[0021] 5. High operability: The entire measurement method only requires a conventional automatic mineralogy analyzer and a specific gravity bottle, which is low in cost and highly operable, and is especially suitable for rapid and accurate determination in the mineral processing process.

[0022] 6. High measurement accuracy and wide applicability: The combined measurement process of multi-scale yield weighting, initial porosity correction, and secondary K-coefficient correction significantly improves measurement accuracy. Porosity correction transforms the density value from the theoretical state without pores to the actual state with pores, more closely reflecting the true packing state of the ore. Secondary K-coefficient correction effectively accommodates random errors in sample preparation and instrument measurement (further correcting for errors caused by sample randomness and fine pores), ensuring data stability and reproducibility. This method is applicable not only to dense, massive ores but also to the density determination of porous, fractured oxidized or weathered ores.

[0023] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0024] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the present invention will be briefly described below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0025] Figure 1 This is a schematic flowchart of the method for determining the density of ore to be mined provided in an embodiment of the present invention. Detailed Implementation

[0026] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the invention, are intended to cover non-exclusive inclusion.

[0028] In the description of the embodiments of this invention, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this invention, "multiple" means two or more, unless otherwise explicitly defined.

[0029] 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 the invention. 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.

[0030] In the description of the embodiments of this invention, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0031] In the description of the embodiments of the present invention, the term "multiple" refers to two or more (including two), similarly, "multiple groups" refers to two or more (including two groups), and "multiple pieces" refers to two or more (including two pieces).

[0032] To address the technical problem in existing ore density determination technologies that fail to systematically integrate the differences in yield distribution across multiple particle sizes, spatial representativeness errors from multi-point sampling, and multi-scale porosity characteristics, severely limiting the accuracy of mineral processing flow calculations and heap leaching process parameter design, this invention provides a method for determining the density of ore. The method involves preparing automated mineralogical analysis samples by sieving ore samples according to predetermined particle sizes, allowing for independent extraction of mineral composition information for each particle size, avoiding image signal aliasing and representativeness bias caused by coarse and fine particles in the overall analysis. Using the yield of each particle size as a weight, the mineral content data of each particle size is weighted and aggregated into an overall mineral composition, and then the theoretical density is calculated. This step transforms particle size differences into weighted parameters, achieving a shift from local accuracy to overall accuracy. Furthermore, a dual correction mechanism is employed: firstly, the theoretical density is corrected to an initial value of the actual apparent density of the ore through porosity measurement, eliminating structural defect biases from macroscopic pores and fractures; secondly, a correction coefficient K is calculated through actual density measurements using multi-point specific gravity bottles, allowing for secondary correction of system biases through on-site multi-point sampling, ultimately outputting the actual apparent density of the ore after dual correction.

[0033] Please refer to Figure 1 As shown, this invention provides a method for determining the density of ore based on automated mineralogical analysis and multi-size sieving. The method calculates mineral content by weighting based on particle size yield and introduces a correction coefficient by combining porosity and measured density from multiple density bottles, significantly improving the accuracy of ore density calculation. Specifically, it includes the following steps: S1. Sampling and Proportional Mixing For the field samples, different sampling areas C were divided according to the type of ore to be selected and the proportion of each type. (C type ore, that is, the ore taken from the sampling area at C) and the sampling amount was c kg, where C is the number of ore types / the number of sampling areas and c is the blending mass of the C type ore sample. A comprehensive ore sample was obtained by mixing samples according to the specified ratio, and it was denoted as comprehensive sample D. Comprehensive sample D was crushed, screened, mixed, ground to the fineness required for on-site processing, dried, and set aside for later use.

[0034] S2. Sieve the sample and calculate the yield. Take a composite sample D with a mass of 100-200 g after ore blending, and sieve it according to particle size i (i is 1, 2, 3, 4, representing the particle size range of four particle sizes: greater than 0.500-0.300 mm, less than or equal to 0.500-0.300 mm, greater than 0.100-0.074 mm, less than or equal to 0.100-0.074 mm, greater than 0.037-0.010 mm, and less than or equal to 0.037-0.010 mm, respectively) to obtain sample Ai. Weigh it and record it as ai g. Then the yield of each particle size Bi = ai / ∑ai.

[0035] S3, Automated Mineralogical Analysis Sample Preparation, Automated Mineralogical Analysis S31. Take 5.0~10.0 g of sample Ai from step S2 to prepare automated mineralogical analysis samples to obtain sample Fi (prepare 1~5 samples for each sample, and take the average value of the results after measuring multiple samples).

[0036] The specific preparation process is as follows: The above sample is placed in a mold and mixed with an epoxy resin mixture (epoxy resin and its corresponding curing agent, volume ratio 1.0:(0.2~1.0)), with a volume ratio of less than 1:5 (to prevent the formation of adhering false particles, which would affect the measurement accuracy of the material composition). The height is controlled at 1.0~1.5 cm. The sample is ultrasonically vibrated for 10.0~20.0 min to remove air bubbles, and then placed in a constant temperature environment of 45~65℃ to accelerate curing. The bottom end face of the inlaid sample is rough-ground, fine-ground, and polished (polishing uses 1~0.5 micrometer abrasive) to create a flat and smooth initial measurement surface, and then carbon is sprayed at 10~20 nm.

[0037] S32. Perform automatic mineralogical analysis on the samples Fi from step S31 and measure the average mineral content of each sample Fi as gi.n (n is the mineral type). Then the overall mineral content of the sample is Gn, where Gn=Σgi.n×Bi.

[0038] S4, Theoretical Density Calculation The theoretical density of the ore is calculated based on the overall mineral content and the theoretical density of each mineral.

[0039] The theoretical density ρ of ore in a void-free and fracture-free state 矿石理论 =ΣG.n×ρ 矿物理论.n Wherein, ρ 矿物理论.n Let be the theoretical density of the nth mineral.

[0040] S5. Porosity determination and preliminary calculation of apparent density Take a composite sample D and determine its porosity e (either by mercury intrusion porosimetry or by image analysis). Calculate the initial value ρ of the actual apparent density of the ore. 矿石实际 The calculation formula is: ρ 矿石实际 =ρ 矿石理论 ×(1-e) The technical objective of this step is to preliminarily correct the impact of structural defects such as large pores and cracks in the ore on density.

[0041] S6. Calculation of Correction Factor The measured densities of the sampling area samples corresponding to each ore type and the composite ore sample were measured respectively. Based on the measured densities of the sampling area samples corresponding to each mineral type, the measured density of the composite ore sample, and the blending ratio, a correction factor was calculated; specifically: Take 10.0~20.0g of the sample at point C in step S1 and the composite sample D prepared using the sample at point C according to the selected ratio. Grind them finely (below 200 mesh) and determine their densities ρ using a specific gravity bottle. 测C and ρ 测综合样 Calculate the correction factor K, where K = K = Σ[(c / Σc) × (ρ) 测C / ρ 测综合样 )]; Where, ρ 测C ρ represents the measured density (actual density) of the sample at point C. 测综合样 This represents the measured density (actual density) of the composite sample D.

[0042] S7. Calculation of Actual Apparent Density of Ore The formula for calculating the actual apparent density of ore is ρ. 矿石实际 '=ρ 矿石实际 ×K.

[0043] The technical purpose of this step is to provide on-site multi-point sampling to correct system deviations and further correct errors caused by sample randomness and minute pores.

[0044] In some specific implementations, if standard measured density data is unavailable, K can be taken from an empirical range of 1.00 to 1.15. Preferably, K = 1.05 ± 0.03.

[0045] Example 1 Embodiment 1 of the present invention provides a method for determining the density of an ore to be mined. Taking the density measurement of an ore from a copper-molybdenum deposit as an example, the method specifically includes the following steps: S1. This deposit mainly consists of three types of ore, namely sampling area C=3, which represent porphyry type, skarn type and quartz vein type ore respectively, with ore mass ratios d=c / ∑c of 0.53 (sampling area 1), 0.31 (sampling area 2) and 0.16 (sampling area 3) respectively. Samples were taken separately: 53.00 kg of porphyry type, 31.00 kg of skarn type, and 16.00 kg of vein type. The samples were crushed, mixed, ground to -0.5 mm, and dried to obtain composite sample D.

[0046] S2. Sieving: Take a composite sample D100.0 g. The sieves i are 1, 2, 3, and 4, which represent the particle size ranges of four particle sizes: greater than 0.500 mm, less than or equal to 0.500 mm and greater than 0.100 mm, less than or equal to 0.100 mm and greater than 0.037 mm, respectively. The results are detailed in Table 1.

[0047] Table 1 Ore Screening Results S3. Sample preparation and automated mineralogical analysis: S31. Sample Preparation: Take 8.0 g of each Aᵢ sample. The ratio of epoxy resin to curing agent is 1:0.3, and the volume ratio of sample to resin is 1:4. Sonicate for 15 min, cure at 60℃, coarsely grind → finely grind → polish (0.5 μm), and then spray with carbon at 15 nm.

[0048] S32. Automated mineralogical analysis: The main minerals were found to be chalcopyrite, pyrite, quartz, feldspar, etc., as detailed in Table 2.

[0049] Table 2 Results of Automated Mineralogical Analysis For example, calculate Gi.n as follows: G.1=Σgi.n×Bi =1.65%×17.50%+1.08%×34.15%+0.42%×27.99%+0.60%×20.36% =0.90%.

[0050] S4. The theoretical density of the ore in a void-free, fracture-free state is: ρ 矿石理论 =ΣGi.n×ρ 矿物理论.n =0.90%×4.20+1.79%×4.95+0.63%×5.00+……+15.19%2.80+6.60%×3.20 =2.85 g / cm³.

[0051] S5. Using the mercury intrusion porosimetry method, e = 0.085. Therefore, the initial value of the actual apparent density ρ of the ore is... 矿石实际 = 2.85× (1 -0.085) =2.61 g / cm³.

[0052] S6. Take 150.0 g of samples from each of the three actual sampling areas (C=3) at the site, and mix them with the selected samples according to the selected ratio to form a composite sample. Grind the samples to -200 mesh and measure the specific gravity using a specific gravity bottle. ρ 测1 = 2.72 g / cm³; ρ 测2 = 2.78 g / cm³; ρ 测3 = 2.65 g / cm³; ρ 测综合样 = 2.63 g / cm³.

[0053] Then K = ∑(c / ∑c) × ρ 测C / ρ 测综合样 =0.53×2.72 / 2.63+0.31×2.78 / 2.63+0.16×2.65 / 2.63 =1.037.

[0054] S7, Actual apparent density of ore ρ 矿石实际 ' = 2.61 × 1.037 = 2.707 g / cm³.

[0055] Example 2 Embodiment 2 of the present invention provides a method for determining the density of an ore to be mined, specifically applied to an iron ore. Under actual measurement conditions without a weight bottle, K = 1.05 is taken as an empirical range value; the specific steps are as described in Embodiment 1.

[0056] The initial value of the actual apparent density ρ of the ore was calculated. 矿石实际 = 4.24 g / cm³, then: the actual apparent density ρ of the ore 矿石实际’ = 4.24 × 1.05 =4.45 g / cm³.

[0057] Verification: In actual production, the density data was applied, and the calculated mining volume and quantity were basically consistent with the actual mining and transportation volume. The calculated volume of the goaf filling was also basically consistent, which verified the accuracy of this method.

[0058] In summary, this invention discloses a method for determining the density of ore to be mined, relating to the fields of mining and geological testing technology. The method includes: preparing a composite sample according to the inclusion ratio, performing multi-scale sieving and calculating the yield; performing automated mineralogical analysis on each particle size sample, calculating the overall mineral content and the theoretical density without porosity using the yield as a weight; measuring the porosity of the sample and performing an initial correction to the theoretical density; finally, measuring the measured density of the multi-regional samples and the composite sample using the specific gravity bottle method, calculating the correction coefficient K, and performing a secondary calibration of the density values. This invention solves the problem of mineral representativeness bias through particle size yield weighting, and solves the interference problem of physical structural defects and systematic errors through porosity and the measured correction coefficient, significantly improving the accuracy and precision of the actual apparent density determination of ore. It is particularly suitable for the rapid and accurate analysis of the density of ore to be mined under complex occurrence conditions, providing reliable data support for mine blending, resource reserve estimation, and beneficiation process design.

[0059] It should be noted that the present invention is not limited to the above-described embodiments. The above embodiments are merely examples, and any embodiments that have the same structure and perform the same effects as the technical concept within the scope of the present invention are included within the scope of the present invention. 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 the present invention, are also included within the scope of the present invention.

Claims

1. A method for determining the density of an ore to be mined, characterized in that, Includes the following steps: S1. Based on the type of ore to be mined in the area to be mined and the proportion of each type, samples are taken from the sampling area corresponding to each type of ore, and a comprehensive ore sample is prepared according to the proportion of each type. S2. The composite ore sample is sieved into multiple particle sizes to obtain the yield of each particle size; S3. Based on the yield of each particle size, perform automatic mineralogical analysis on each particle size sample to obtain the mineral content of each particle size, and perform weighted calculation based on the mineral content of each particle size and the yield of each particle size to obtain the overall mineral content. S4. Calculate the theoretical density of the ore based on the overall mineral content and the theoretical density of each mineral; S5. Measure the porosity of the composite ore sample, and make an initial correction to the theoretical density of the ore based on the porosity to obtain an initial value of the actual apparent density of the ore. S6. Measure the actual density of the sampling area samples corresponding to each ore type and the composite ore sample respectively. Calculate the correction coefficient based on the actual density of the sampling area samples corresponding to each mineral type, the actual density of the composite ore sample, and the beneficiation ratio of the blending. S7. Based on the correction coefficient, the initial value of the actual apparent density of the ore is corrected a second time to obtain the actual apparent density of the ore.

2. The method for determining the density of ore according to claim 1, characterized in that, In step S6, the correction coefficient is calculated according to the following formula: K=Σ[(c / Σc)×(ρ 测C / p 测综合样 )]; Where K is the correction coefficient, c is the blending mass of the C-type ore sample, and ρ 测C ρ is the measured density of the C-type ore sample. 测综合样 This represents the measured density of the comprehensive ore sample.

3. The method for determining the density of an ore to be mined according to claim 2, characterized in that, In step S5, the initial value of the actual apparent density of the ore is calculated according to the following formula: r 矿石实际 = p 矿石理论 × (1 - e); Where, ρ 矿石实际 Let ρ be the initial value of the actual apparent density of the ore. 矿石理论 Let be the theoretical density of the ore, and e be the porosity of the composite ore sample.

4. The method for determining the density of an ore to be mined according to claim 3, characterized in that, In step S4, the theoretical density ρ of the ore 矿石理论 Calculate using the following formula: r 矿石理论 =Σ(Gn×ρ 矿物理论.n ); Where Gn is the percentage content of the nth target mineral in the overall composite ore sample, ρ 矿物理论.n Let be the theoretical density of the nth target mineral.

5. The method for determining the density of an ore to be mined according to claim 3, characterized in that, In step S7, the actual apparent density of the ore is calculated using the following formula: r 矿石实际’ =p 矿石实际 ×K; Where, ρ 矿石实际’ This represents the actual apparent density of the ore. When standard measured density data is lacking, the correction factor K is taken in the empirical range of 1.00 to 1.

15.

6. The method for determining the density of an ore to be mined according to claim 5, characterized in that, In step S6, when standard measured density data is lacking, the correction coefficient K is set to 1.05 ± 0.

03.

7. The method for determining the density of an ore to be mined according to claim 1, characterized in that, In step S2, the plurality of granular levels includes at least: The first particle size range is greater than 0.500~0.300mm; The second particle size range is less than or equal to 0.500~0.300mm and greater than 0.100~0.074mm; The third particle size range is less than or equal to 0.100~0.074mm and greater than 0.037~0.010mm; The fourth particle size range is less than or equal to 0.037~0.010mm.

8. The method for determining the density of an ore to be mined according to claim 1, characterized in that, In step S5, the porosity is determined by mercury intrusion porosimetry, gas adsorption, or porosity identification based on automated mineralogical images.

9. The method for determining the density of an ore to be mined according to claim 1, characterized in that, In step S6, the measured density is determined by the specific gravity bottle method. The sampling area samples corresponding to each ore type and the comprehensive ore sample are finely ground to a particle size of less than 200 mesh before measurement.

10. The method for determining the density of an ore to be mined according to claim 1, characterized in that, In step S3, the automated mineralogical analysis includes: mixing the sieved samples of each particle size with resin to prepare mosaic samples, polishing the mosaic samples to form a measuring surface, and performing mineral phase identification and quantitative analysis on the measuring surface; the resin is epoxy resin, and the volume ratio of the sieved sample to the epoxy resin is less than 1:5.

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