Sintered ore sampling method and equipment for reducibility detection, medium and program product
By accurately acquiring and processing sintered ore samples, the problem of inaccurate test results caused by uneven particle size was solved, and efficient reproducibility test results were reproduced, supporting the efficient operation of blast furnaces.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-23
- Publication Date
- 2026-03-27
AI Technical Summary
In existing technologies, the uneven particle size distribution of sintered ore leads to a low reproducibility rate in reducibility testing results, making it impossible to accurately reflect the overall reducibility performance.
By randomly acquiring raw samples, determining the weight percentage of different particle size grades, crushing and sieving are performed to ensure uniform particle size. Samples are then precisely taken according to the percentages to form the target samples.
This improved the accuracy and reproducibility of the reproducibility test results, providing reliable data support for the precise operation and energy efficiency optimization of blast furnaces.
Smart Images
Figure CN121740552A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of sintered ore, in particular to a sintered ore sampling method, device, medium and program product for reduction detection. BACKGROUND
[0002] Long process smelting is currently the lowest energy consumption route for the preparation of ferrous materials, in which blast furnace ironmaking accounts for the vast majority of production capacity. As a key raw material for blast furnaces, the reduction performance of sintered ore directly affects the smelting efficiency and energy consumption control of the blast furnace. However, sintered ore is a non-homogeneous artificial lump ore composed of different particle sizes, and the reducibility of each particle size is significantly different. At present, although the determination method of reducibility is specified, the sampling and sample preparation process is not standardized. Due to the extremely small amount of sample used for detection and the huge difference in bulk density of sintered ore of different particle sizes, the particle size composition of the small amount of sample randomly taken from the large batch of material is prone to be inaccurate and cannot represent the whole, ultimately causing the core technical problem of low reproducibility and poor reliability of the reduction detection results. SUMMARY
[0003] The embodiments of the present application provide a sintered ore sampling method, device, medium and program product for reduction detection, which solves the technical problem of low reproducibility of reduction detection results caused by uneven particle size composition of sintered ore in the prior art, and achieves the technical effect of effectively improving the accuracy and reproducibility of detection results by accurately preparing detection samples according to the original particle size proportion.
[0004] In a first aspect, the present application provides a sintered ore sampling method for reduction detection, the method comprising: randomly obtaining a first preset weight of an original sample from a sintered ore pile; determining a sub-weight proportion between the original sub-weight of the original sub-sample of different particle size levels in the original sample and the first preset weight; performing a crushing operation on each original sub-sample of different particle size levels to obtain a target crushed sub-sample with a particle size less than or equal to a first preset particle size in each original sub-sample; sampling from each target crushed sub-sample according to the sub-weight proportion of each different particle size level to obtain a target sample with a total weight of a second preset weight, and performing reduction detection on the sintered ore pile based on the target sample, wherein the second preset weight is less than the first preset weight.
[0005] Further, determining the sub-weight proportion between the original sub-weight of the original sub-sample of different particle size levels in the original sample and the first preset weight comprises: performing particle size screening on the original sample to obtain a plurality of original sub-samples of different particle size levels, and determining the original sub-weight of each original sub-sample; Determine a sub-weight proportion of each original sub-sample based on the original sub-weight of each original sub-sample and the first preset weight.
[0006] Further, the plurality of different particle size levels at least include a particle size greater than 40 mm, a particle size less than or equal to 40 mm and greater than 25 mm, a particle size less than or equal to 25 mm and greater than 16 mm, a particle size less than or equal to 16 mm and greater than 10 mm, a particle size less than or equal to 10 mm and greater than 5 mm, and a particle size less than or equal to 5 mm.
[0007] Further, the original sub-sample of each different particle size level is subjected to a crushing operation to obtain a target crushed sub-sample of each original sub-sample with a particle size less than or equal to a first preset particle size, including: Each original sub-sample is subjected to a crushing operation so that the particle size of each original sub-sample is less than or equal to a first preset particle size to obtain a corresponding basic crushed sub-sample of each original sub-sample; Each basic crushed sub-sample is subjected to a particle size screening operation to obtain a target crushed sub-sample of sinter constituted by a particle size greater than a second preset particle size; the first preset particle size is greater than the second preset particle size.
[0008] Further, sampling is performed from each target crushed sub-sample according to the sub-weight proportion of each different particle size level to obtain a target sample with a total weight of a second preset weight, including: Determine a target sub-weight of each different particle size level based on the sub-weight proportion of each different particle size level and the second preset weight; Sample from each target crushed sub-sample according to the target sub-weight of each different particle size level to obtain a target sub-sample corresponding to each target crushed sub-sample with a weight of the target sub-weight; Mix the target sub-sample corresponding to each target crushed sub-sample to obtain a target sample with a weight of the second preset weight.
[0009] Further, the first preset particle size is 12.5 mm, and the second preset particle size is 10 mm.
[0010] Further, the second preset weight is 500 g.
[0011] In a second aspect, the present application provides a sinter sampling device for reducibility detection, including: a processor; a memory for storing processor-executable instructions; The processor is configured to execute to implement the sinter sampling method for reducibility detection provided in the first aspect.
[0012] In a third aspect, the present application provides a non-transitory computer readable storage medium, when instructions in the storage medium are executed by a processor of a sinter sampling device for reduction detection, the sinter sampling device for reduction detection is enabled to perform a sinter sampling method for reduction detection as provided in the first aspect.
[0013] In a fourth aspect, the present application provides a computer program product comprising computer instructions executed by a processor to implement a sinter sampling method for reduction detection as provided in the first aspect.
[0014] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: The embodiments of the present application first ensure the initial representativeness of the sample by randomly obtaining a sufficient amount of original sample from the sinter pile. Then, the particle size distribution structure of the original sample is accurately quantified by determining the weight proportion of the original sub-sample of different particle size levels. Subsequently, the particle level sub-sample is independently crushed to be below the target particle size, effectively eliminating the adverse effects of large particles on subsequent detection, and avoiding the property changes caused by mixed crushing. Most importantly, the final target sample is accurately weighed and mixed from the crushed sub-samples in proportion according to the accurately measured original particle size proportion. As can be seen, the embodiments of the present application reproduce the complex particle size distribution characteristics of large quantities of non-homogeneous sinter pile in small weight detection samples with high fidelity. The embodiments of the present application accurately reproduce the particle size composition of the original sinter pile in the final detection sample, which can directly obtain a reduction degree detection result with excellent reproducibility and high reliability, and provides a solid data cornerstone for the accurate operation and energy efficiency optimization of the blast furnace. BRIEF DESCRIPTION OF DRAWINGS
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.
[0016] Figure 1 A flowchart of a sinter sampling method for reduction detection provided by the embodiments of the present application is shown in the figure. Figure 2 A flowchart of a sinter sampling device for reduction detection provided by the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION
[0017] The embodiment of the present application provides a sinter sampling method for reducibility detection, and solves the technical problem of low reproducibility of the reducibility detection result caused by uneven sinter particle size composition in the prior art.
[0018] The technical solution of the embodiment of the present application is to solve the above technical problem, and the general idea is as follows: The embodiment of the present application first randomly obtains a sufficient amount of original sample from the ore heap, ensuring the initial representativeness of the sample. Further, the weight proportion of the original sub-sample of different particle size levels is determined, and the particle size distribution structure of the original sample is accurately quantified. Then, the independent crushing treatment is performed on each particle level sub-sample, so that it is homogenized to below the target particle size, effectively eliminating the adverse effects of large particles on subsequent detection, and avoiding the property changes caused by mixed crushing. Most importantly, according to the accurate measurement of the original particle size proportion, the final target sample is accurately weighed and mixed from each crushed sub-sample in proportion. As can be seen, the complex particle size distribution characteristics of the large amount of non-homogeneous sinter ore heap are accurately reproduced in the small weight detection sample. The embodiment of the present application accurately reproduces the particle size composition of the original ore heap in the final detection sample, and can directly obtain the reducibility detection result with excellent reproducibility and high reliability, providing a solid data cornerstone for the accurate operation and energy efficiency optimization of the blast furnace.
[0019] In order to better understand the above technical solution, the above technical solution will be described in detail in combination with the description of the drawings and the specific embodiments.
[0020] First of all, the term "and / or" appearing in this paper is only to describe the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, A and / or B can represent the existence of A alone, the existence of A and B together, and the existence of B alone. In addition, the character " / " in this paper generally represents an "or" relationship between the front and rear associated objects.
[0021] The embodiment of the present application provides a sinter sampling method for reducibility detection, which comprises steps S11-S14, and can be specifically referred to Figure 1 .
[0022] Step S11, randomly obtaining an original sample of a first preset weight from a sinter ore heap; Step S12, determining the sub-weight proportion between the original sub-weight of the original sub-sample of different particle size levels in the original sample and the first preset weight; Step S13, performing a crushing operation on each original sub-sample of different particle size levels to obtain a target crushed sub-sample with a particle size less than or equal to a first preset particle size in each original sub-sample; In step S14, a target sample with a total weight of a second preset weight is obtained by sampling from the target crushing sub-samples according to the weight proportions of the respective different particle size levels, so as to perform a reduction detection on the sinter ore pile based on the target sample, and the second preset weight is less than the first preset weight.
[0023] The sinter ore sampling method for reduction detection provided by the embodiments of the present application can be executed by a computing device, such as a server, a personal computer, or a dedicated sinter ore detection instrument.
[0024] In step S11, a first preset weight of an original sample is randomly obtained from the sinter ore pile.
[0025] In the sampling method described in the present application, the sinter ore pile randomly sampled refers to a collection of batches of sintered ore obtained at the end of sintering production and waiting for reduction detection. It is usually manifested as one or more batches of sintered ore products piled up in a stockyard or a storage before being smelted in a blast furnace. The ore pile has inhomogeneous characteristics in physical and chemical properties, that is, the sintered ore at different spatial positions in the ore pile has natural differences in chemical composition, porosity, and particle size distribution. If sampling is only performed from a single position, it is easy to cause the sample to not represent the true characteristics of the entire batch of materials due to the accidentalness of particle size composition. Random sampling is to overcome this systematic error caused by position preference, which requires sub-samples to be collected from different depths and different regions (such as multiple points at the top, middle, bottom, and edge) of the ore pile according to statistical principles, and then mixed to form an initial sample, so as to ensure that the “original sample” obtained is consistent with the statistical distribution of the entire batch of ore pile in terms of particle size composition, and lay a foundation for subsequent preparation of a representative detection sample.
[0026] The value range of the first preset weight in step S11 must have a lower limit greater than 2000g. This requirement is mainly based on statistical principles and the representativeness of sampling. Sintered ore is a bulk material with a wide particle size distribution range. In order to make the particle size composition of the initial sample truly reflect the overall situation of the entire ore pile, it is necessary to have a large enough sample weight. If the initial sample weight is too small (for example, less than 2000g), the representativeness of some key particle sizes (especially large particles) may be missed, or the number of these particle sizes may fluctuate too much due to accidental factors, resulting in serious distortion of the detection sample prepared by subsequent proportional reduction. In principle, the larger the weight of the initial sample, the more complete the particle size distribution information it contains, the stronger the representativeness of the overall, and the higher the accuracy of the results. However, in practice, an increase in weight will directly lead to a sharp increase in the workload of sampling processes such as crushing and screening. Therefore, the determination of the first preset weight needs to balance between ensuring representativeness and controlling operation cost, and the recommended value range is usually between 2000g and 10000g, and the specific value can be determined according to the total amount of the ore pile to be detected, the maximum particle size, and the required accuracy requirement.
[0027] In step S12, the sub-weight proportion of each of the original sub-samples in the original sample is determined.
[0028] Step S12 aims to quantitatively analyze the particle size composition of the representative original sample obtained in step S11. The purpose of step S12 is to convert the macroscopic and mixed particle size distribution of the original sample into accurate and quantifiable data basis. Specifically, step S12 first needs to strictly screen the aforementioned original sample through a set of standard sieves, thereby separating it into a plurality of original sub-samples of different particle size levels (e.g., greater than 40 mm, 25-40 mm, etc.). Then, the mass of each particle size level sub-sample is weighed using an accurate measuring instrument, i.e., its original sub-weight is obtained. Finally, by calculating the ratio of each original sub-weight to the first preset weight (i.e., the total weight of the original sample) known in step S11, the sub-weight proportion of each particle size level in the overall original sample can be determined. This proportion data accurately quantifies the particle size distribution structure of the original sample, providing an indispensable scientific basis for accurately preparing the final detection sample according to the original proportion in subsequent steps.
[0029] Specifically, step S12 can include steps S121-S122.
[0030] In step S121, the original sample is subjected to particle size screening to obtain a plurality of original sub-samples of different particle size levels, and the original sub-weight of each original sub-sample is determined. In step S122, based on the original sub-weight of each original sub-sample and the first preset weight, the sub-weight proportion of each original sub-sample is determined.
[0031] The plurality of different particle size levels at least include a particle size greater than 40 mm, a particle size less than or equal to 40 mm and greater than 25 mm, a particle size less than or equal to 25 mm and greater than 16 mm, a particle size less than or equal to 16 mm and greater than 10 mm, a particle size less than or equal to 10 mm and greater than 5 mm, and a particle size less than or equal to 5 mm.
[0032] In step S121, the particle size screening process is performed according to a pre-specified standard screen sequence. Specifically, the original sample obtained in step S11 is mechanically or manually screened through a set of standard screens with pore diameters of 40 mm, 25 mm, 16 mm, 10 mm, and 5 mm, respectively. This process precisely separates the mixed original sample into six well-defined particle size grades, namely, lump ore larger than 40 mm, large particles between 25 mm and 40 mm, medium particles between 16 mm and 25 mm, smaller particles between 10 mm and 16 mm, fine particles between 5 mm and 10 mm, and fines smaller than or equal to 5 mm. After screening, each particle size grade is independently weighed using a weighing device (such as an electronic balance) with the required precision. The measured mass is the original sub-weight of the particle grade, usually denoted as Qi, where i represents different particle grade intervals.
[0033] For example, assume that a random original sample with a total weight of 3000 g (i.e., the first preset weight) is obtained from a sinter pile. After screening through the standard screen set, the following results may be obtained: 450 g of large lump sinter retained on the 40 mm screen (the +40 mm particle grade); 750 g of sinter between 25 mm and 40 mm; 900 g of sinter between 16 mm and 25 mm; 600 g of sinter between 10 mm and 16 mm; 240 g of sinter between 5 mm and 10 mm; and 60 g of fines passing through the 5 mm screen. The 450 g, 750 g, etc., referred to here are the original sub-weights of each particle grade.
[0034] The purpose of step S122 is to quantify the proportion of each specific particle grade in the overall sample. This process involves dividing the weight of each original sub-sample determined in step S121 (i.e., each Qi) by the total weight of the original sample known in step S11 (i.e., the first preset weight). Through this simple division operation, the proportion of the sub-weight of each particle size grade can be accurately calculated, with the formula: sub-weight proportion = (original sub-weight / first preset weight) x 100%. This series of proportion data collectively constitutes the quantitative model of the particle size distribution of the original sample, which is the direct basis for accurately preparing the final test sample in proportion.
[0035] Taking the above example, the total weight of the original sample is 3000g. Then, for the +40mm size fraction of 450g, the sub-weight ratio is calculated as (450g / 3000g) x 100% = 15%. Similarly, the 25-40mm size fraction of 750g accounts for 25%, the 16-25mm size fraction of 900g accounts for 30%, the 10-16mm size fraction of 600g accounts for 20%, the 5-10mm size fraction of 240g accounts for 8%, and the -5mm size fraction of 60g accounts for 2%. This set of percentages (15%, 25%, 30%, 20%, 8%, 2%) completely defines the particle size composition of the original sample.
[0036] Regarding step S13, the crushing operation is performed on each different particle size level of the original sub-sample to obtain a target crushed sub-sample in each original sub-sample with a particle size less than or equal to a first preset particle size.
[0037] Step S13 is a key operation of sample pretreatment based on the accurate mastering of the particle size distribution of the original sample in step S12. Since the sample used for the reduction test (target sample) has strict requirements on particle size and weight (such as 500g, the particle size needs to be within a certain range), and there are a large number of large particles in the original sample that exceed this range, crushing must be performed to unify the particle size. Step S13 is to process all the original sub-samples of different particle size levels to a uniform particle size specification suitable for subsequent detection and sampling while maintaining the independence of each particle level original sub-sample. Specifically, each original sub-sample of different particle size levels (such as +40mm, 25-40mm, etc.) obtained by sieving in step S12 needs to be crushed separately and independently, rather than being mixed and crushed. This operation aims to avoid cross contamination and composition changes of particles with different hardness and composition when mixed and crushed. The crushing operation needs to use standard equipment such as a jaw crusher, and the crushing force and number of times need to be controlled to ensure that the final particle size of all particles is less than or equal to the first preset particle size (for example, 12.5mm). Thus, after independent crushing of each original sub-sample, a target crushed sub-sample corresponding to each original sub-sample is obtained, which is a homogenized material basis for accurately preparing a target sample according to the original particle size ratio in the next step.
[0038] Specifically, step S13 can include step S131-step S132.
[0039] Step S131, each original sub-sample is crushed separately so that the particle size of each original sub-sample is less than or equal to the first preset particle size, and a corresponding basic crushed sub-sample of each original sub-sample is obtained; In step S132, the particle size of each basic broken sub-sample is screened, and a target broken sub-sample composed of sinter with a particle size greater than a second preset particle size is obtained; the first preset particle size is greater than the second preset particle size. The first preset particle size is 12.5 mm, and the second preset particle size is 10 mm.
[0040] In step S131, the breaking operation is independently performed on each original sub-sample obtained in step S12. The process of step S131 uses a sieve with a first preset particle size of 12.5 mm as a control standard. Specifically, each original sub-sample of each particle size level (such as +40 mm lumps) is respectively put into a jaw crusher or the like for primary breaking, and then the broken product is screened using a sieve with a particle size of 12.5 mm. For the oversize material that does not pass through the sieve, it needs to be returned for re-breaking, and such a cycle of “breaking-screening” operation is repeated until all the material in the sub-sample passes through the 12.5 mm sieve. At this time, each original sub-sample is converted into an independent basic broken sub-sample with a particle size of less than or equal to 12.5 mm. This method of independent breaking of different particle sizes and ensuring that all materials pass through the specified sieve hole effectively prevents cross contamination and over crushing of different particle sizes, and lays a foundation for subsequent preparation of representative test samples.
[0041] For example, it is assumed that an original sub-sample with a weight of 750 g and a particle size of 25-40 mm is obtained in step S12. In step S131, the 750 g of sinter is broken independently. After the first breaking, only part of the material may pass through the 12.5 mm sieve, and there are still large pieces of material on the sieve. These oversize materials are collected and broken again, and the screening is repeated. Such a cycle is repeated until all the 750 g of material passes through the 12.5 mm sieve, and at this time, a basic broken sub-sample corresponding to the 25-40 mm particle size is obtained, with a total weight of about 750 g (ignoring a small amount of mechanical loss and dust loss). The independent operation is repeated for all other particle size levels of the original sub-sample.
[0042] Step S132 is to further purify the particle size of each basic broken sub-sample on the basis of step S131. Step S132 uses a second preset sieve with a particle size of 10 mm to screen each basic broken sub-sample. After screening, the sinter particles with a particle size greater than 10 mm are retained, and these particles collectively constitute the target broken sub-sample; and the fine powder with a particle size less than or equal to 10 mm is discarded. The purpose of this operation is to remove the fine powder produced in the breaking process which is not representative, because the chemical properties and reduction behavior of these fine powder may be different from the main particles, and the fluctuation of the random content will directly affect the representativeness of the final detection sample and the reproducibility of the detection results. By setting the first preset particle size (12.5 mm) to be greater than the second preset particle size (10 mm), it is ensured that after purifying and removing the fine powder, there are still sufficient number of representative particles with concentrated particle size in the target broken sub-sample.
[0043] Continuing the above example, in step S131, 750g of the 25-40mm original sub-sample is completely broken into a basic broken sub-sample with a particle size less than or equal to 12.5mm. In step S132, the basic broken sub-sample is screened using a 10mm sieve. Assuming that after screening, there are 700g of material with a particle size of 10mm to 12.5mm (i.e. retained on the 10mm sieve), and 50g of material becomes fine powder less than or equal to 10mm (i.e. passes through the 10mm sieve). Then, the 700g of 10-12.5mm particles constitutes the target broken sub-sample corresponding to this particle size, and the 50g of fine powder is discarded. The same screening and selection operation is performed on all other basic broken sub-samples.
[0044] Regarding step S14, a target sample with a total weight of a second preset weight is obtained by sampling from each target broken sub-sample according to the weight proportion of each different particle size level, to perform a reduction detection on the sinter pile based on the target sample, and the second preset weight is less than the first preset weight.
[0045] Step S14 aims to accurately extract representative samples from each particle size material after processing according to the proportion of the particle size distribution of the original sample. Specifically, first, the proportion of the weight of each different particle size level determined in step S12 is called and multiplied by the second preset weight (usually 500g specified by the detection standard), so as to calculate the target weight that should be extracted from each target broken subsample. Then, according to the calculated weight, accurate sampling is carried out from each target broken subsample (i.e. 10mm-12.5mm particles retained after crushing and screening of each particle size) obtained in step S13. Finally, all the proportionally weighed subsamples are thoroughly physically mixed to finally synthesize a target sample with an accurate total weight of the second preset weight. This method ensures that the small amount of sample used for the reduction test has a high consistency in particle size composition with the original heap by mathematically reproducing the original particle size composition, thereby fundamentally solving the problem of low reproducibility of test results caused by accidental sampling.
[0046] Specifically, step S14 includes steps S141-S143.
[0047] Step S141 determines the target weight of each different particle size level based on the proportion of the weight of each different particle size level and the second preset weight; the second preset weight is 500g.
[0048] Step S142 takes samples from each target broken subsample according to the target weight of each different particle size level to obtain target subsamples corresponding to each target broken subsample with a weight of the target weight of each target broken subsample; Step S143 mixes the target subsamples corresponding to each target broken subsample to obtain a target sample with a weight of the second preset weight.
[0049] Step S141 converts the macro particle size distribution proportion into specific and executable sampling weight instructions. Step S141 utilizes the proportion of the weight of each particle size level determined in step S12, which represents the particle size composition of the original heap, and mathematically correlates it with the final sample weight specified by the detection procedure, i.e. the second preset weight (500g). The specific process is to multiply the proportion of the weight of each particle size level by 500g, thereby accurately calculating the mass that should be weighed from the target broken subsample corresponding to the particle size level to reproduce the original particle size distribution, i.e. the target weight. This series of calculations ensures that the weight proportion of each particle size in the finally synthesized 500g target sample is completely consistent with the original sample initially taken from the heap.
[0050] For example, in step S12, the weight proportions of each size fraction are calculated as follows: +40 mm fraction 15%, 25-40 mm fraction 25%, 16-25 mm fraction 30%, 10-16 mm fraction 20%, 5-10 mm fraction 8%, and -5 mm fraction 2%. In step S141, these proportions are multiplied by 500 g. The calculation is as follows: 500 g x 15% = 75 g should be weighed from the target crushed subsample corresponding to the +40 mm fraction; 500 g x 25% = 125 g should be weighed from the target crushed subsample corresponding to the 25-40 mm fraction; 150 g should be weighed from the target crushed subsample corresponding to the 16-25 mm fraction; 100 g should be weighed from the target crushed subsample corresponding to the 10-16 mm fraction; 40 g should be weighed from the target crushed subsample corresponding to the 5-10 mm fraction; and 10 g should be weighed from the target crushed subsample corresponding to the -5 mm fraction. These weights (75 g, 125 g, 150 g, 100 g, 40 g, and 10 g) are the target subsample weights for each size fraction, and their sum is exactly 500 g.
[0051] Step S142 is a physical operation phase for accurate sampling based on the calculation results of step S141. In step S142, using a weighing device (such as an electronic balance) with sufficient accuracy, each target subsample weight is independently weighed from the target crushed subsample (i.e., the cleaned particles of 10 mm-12.5 mm obtained after processing of each size fraction) prepared in step S13. For each size fraction, the part of the sample that reaches the target subsample weight is the target subsample for the final synthesis of that size fraction. This process must ensure that the materials in different size fractions do not cross-contaminate, and the weighing is accurate, which is the key to ensuring that the composition and proportions of the final sample are accurate.
[0052] Continuing the above example, in step S142, six independent weighing operations are performed: first, 75 g of 10 mm-12.5 mm particles are accurately weighed from the target crushed subsample corresponding to the +40 mm original size fraction. Next, 125 g are accurately weighed from the target crushed subsample corresponding to the 25-40 mm size fraction. Similarly, 150 g, 100 g, 40 g, and 10 g of particles are accurately weighed from the target crushed subsamples corresponding to the 16-25 mm, 10-16 mm, 5-10 mm, and -5 mm size fractions, respectively. These six samples with different weights are the target subsamples of their respective size fractions that contribute to the final mixed sample.
[0053] After the target sample with a total weight of 500 grams and a particle size composition accurately representing the original sinter ore heap is successfully prepared, the reducibility of the sample can be detected according to the method for determining the reducibility of iron ore. The detection is usually carried out in a dedicated reducibility detection furnace, and the core principle is to simulate the chemical reaction conditions inside the blast furnace. Specifically, the target sample is placed in a reaction tube, and a reducing gas composed of carbon monoxide (CO) and nitrogen (N2) in a specific ratio is introduced into the reaction tube under a specified temperature program (usually from room temperature to 900°C and kept constant). During this process, the iron oxides (such as Fe2O3, Fe3O4) in the sinter sample will react with CO to lose oxygen atoms and be converted into metallic iron (Fe) or low-valence iron oxides, and release carbon dioxide (CO2). By continuously introducing the reducing gas and accurately measuring the mass loss of the sample after a certain period of reaction (usually 180 minutes), which directly corresponds to the mass of oxygen removed, the key reducibility (RI) index can be calculated. Since the target sample used in this detection has a high statistical consistency in particle size distribution with the ore heap to be detected, the differences in heap density and reaction gas passage caused by sampling randomness are minimized, so the final reducibility index can more truly and reliably reflect the smelting performance of the entire sinter ore heap, significantly improving the accuracy and reproducibility of the detection results, and providing reliable data guidance for efficient and low-consumption operation of the blast furnace.
[0054] In summary, the embodiment of the present application first ensures the initial representativeness of the sample by randomly obtaining a sufficient amount of original sample from the ore heap. Then, the particle size distribution structure of the original sample is accurately quantified by determining the weight proportion of the original sub-sample of different particle size levels. Subsequently, the sub-samples of each particle size level are independently crushed to below the target particle size, effectively eliminating the adverse effects of large particles on subsequent detection, while avoiding property changes that may be caused by mixed crushing. Most importantly, the final target sample is accurately weighed and mixed from the crushed sub-samples in proportion according to the accurately measured original particle size proportion. As can be seen, the embodiment of the present application accurately reproduces the complex particle size distribution characteristics of a large amount of non-homogeneous sinter ore heap in a small weight detection sample. By accurately reproducing the particle size composition of the original ore heap in the final detection sample, the embodiment of the present application can directly obtain a reducibility detection result with excellent reproducibility and high reliability, providing a solid data cornerstone for precise operation and energy efficiency optimization of the blast furnace.
[0055] Based on the same inventive concept, the embodiment of the present application provides a sinter ore sampling device for reducibility detection as shown in Figure 2 The sinter ore sampling device for reducibility detection comprises: a processor 21; a memory 22 for storing instructions executable by the processor 21; The processor 21 is configured to implement a sinter sampling method for reductivity detection as provided in the foregoing.
[0056] Based on the same inventive concept, the embodiment of the present application provides a non-transitory computer readable storage medium, when instructions in the storage medium are executed by the processor 21 of the sinter sampling device for reductivity detection, the sinter sampling device for reductivity detection can implement a sinter sampling method for reductivity detection as provided in the foregoing.
[0057] Based on the same inventive concept, the embodiment of the present application provides a computer program product, comprising computer instructions executed by the processor 21 to implement a sinter sampling method for reductivity detection as provided in the foregoing.
[0058] Since the sinter sampling device for reductivity detection introduced in the embodiment is the sinter sampling device for reductivity detection adopted by the method of information processing in the embodiment of the present application, based on the method of information processing introduced in the embodiment of the present application, those skilled in the art can understand the specific implementation of the sinter sampling device for reductivity detection in the embodiment and its various forms, so the sinter sampling device for reductivity detection how to implement the method in the embodiment of the present application is not introduced in detail. As long as the sinter sampling device for reductivity detection adopted by the method of information processing in the embodiment of the present application is implemented by those skilled in the art, it belongs to the scope of the present application.
[0059] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer usable storage media containing computer usable program code (including but not limited to disk storage, CD-ROM, optical storage, etc.).
[0060] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one flow or multiple flows and / or blocksFigure 1 means for performing the function specified in the block or blocks.
[0061] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the flow Figure 1 flow or flows and / or blocks Figure 1 means for performing the function specified in the block or blocks.
[0062] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow Figure 1 flow or flows and / or blocks Figure 1 steps for performing the function specified in the block or blocks.
[0063] Although preferred embodiments of the application have been described herein, changes and modifications can be suggested to one skilled in the art and are intended to be encompassed within the scope of the appended claims. It is the intent, therefore, to be limited only as indicated by the scope of the claims appended hereto.
[0064] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.
Claims
1. A method for sampling sintered ore for reducibility testing, characterized in that, The method includes: A first preset weight of original sample is randomly obtained from the sintered ore pile; Determine the ratio of the original sub-weight of the original sub-samples of different particle size levels in the original sample to the first preset weight; The original sub-samples of different particle size levels are crushed to obtain target crushed sub-samples with particle sizes less than or equal to the first preset particle size. Samples are taken from each target crushed sub-sample according to the sub-weight ratio of each different particle size class to obtain a target sample with a total weight of a second preset weight. The reducibility of the sintered ore pile is then tested based on the target sample. The second preset weight is less than the first preset weight.
2. The sinter sampling method for reducibility testing as described in claim 1, characterized in that, Determining the ratio of the original sub-weight of different particle size grades of the original sample to the first preset weight includes: The original sample was subjected to particle size sieving to obtain multiple original sub-samples of different particle size grades, and the original sub-weight of each original sub-sample was determined. Based on the original sub-weight of each original sub-sample and the first preset weight, the sub-weight ratio of each original sub-sample is determined.
3. A sinter sampling method for reducibility testing as described in claim 1 or 2, characterized in that, Multiple different particle size levels include at least a particle size greater than 40 mm, a particle size less than or equal to 40 mm and greater than 25 mm, a particle size less than or equal to 25 mm and greater than 16 mm, a particle size less than or equal to 16 mm and greater than 10 mm, a particle size less than or equal to 10 mm and greater than 5 mm, and a particle size less than or equal to 5 mm.
4. The sinter sampling method for reducibility testing as described in claim 1, characterized in that, The original sub-samples of different particle sizes are crushed to obtain target crushed sub-samples with particle sizes less than or equal to a first preset particle size, including: Each original sub-sample is crushed separately so that the particle size of each original sub-sample is less than or equal to the first preset particle size, thus obtaining the basic crushed sub-sample corresponding to each original sub-sample. Each basic crushed sub-sample is subjected to particle size sieving to obtain a target crushed sub-sample composed of sinter with a particle size greater than the second preset particle size in each basic crushed sub-sample; the first preset particle size is greater than the second preset particle size.
5. A sinter sampling method for reducibility testing as described in claim 1 or 4, characterized in that, Samples were taken from each target fragmentation sub-sample according to the sub-weight proportion of each different particle size class to obtain a target sample with a total weight of the second preset weight, including: Based on the sub-weight ratio of each different particle size level and the second preset weight, the target sub-weight of each different particle size level is determined; Samples are taken from each target fragmentation sample according to the target sub-weight of each different particle size class, and the target sub-samples corresponding to the weight of each target fragmentation sample are obtained. The target sub-samples corresponding to each target fragment are mixed to obtain a target sample with a weight of the second preset weight.
6. A sinter sampling method for reducibility testing as described in claim 4, characterized in that, The first preset particle size is 12.5 mm, and the second preset particle size is 10 mm.
7. A sinter sampling method for reducibility testing as described in claim 1, characterized in that, The second preset weight is 500g.
8. A sinter sampling device for reducibility testing, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute a sinter sampling method for reducibility detection as described in any one of claims 1 to 7.
9. A non-transitory computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor of the sinter sampling device for reducibility testing, the sinter sampling device for reducibility testing is enabled to perform a sinter sampling method for reducibility testing as described in any one of claims 1 to 7.
10. A computer program product, characterized in that, Includes computer instructions, which are executed by a processor to implement a sinter sampling method for reducibility testing as described in any one of claims 1 to 7.