Filtering performance determination method and device, equipment, medium and program product

Abstract

The invention provides a filtering performance determination method, device and equipment, a medium and a program product, and relates to the technical field of iron ore powder grinding and separation. The method comprises the following steps: obtaining the target molecular water content and the target capillary water content of a target type of iron ore powder sample after wet grinding, and the target water content of a target filter cake obtained by filtering the iron ore powder sample; determining a target moisture index based on the target molecular water content, the target capillary water content and the target moisture content; obtaining the average particle size of target mineral powder obtained by freezing and scattering the target filter cake; determining a target dispersion index based on the average particle size; based on the target moisture index and the target dispersion index, the filtering performance of the iron ore powder of the target type is determined. According to the filtering performance determination method, device and equipment, the medium and the program product provided by the invention, the filtering performance of the iron ore powder can be accurately determined.

Description

Technical Field

[0001] The present application relates to the technical field of iron ore grinding and beneficiation, and in particular to a method, device, equipment, medium and program product for determining filtration performance. Background Art

[0002] As one of the main feedstocks for blast furnace ironmaking, the use of pelletized ore is increasing. The preparation of pelletized ore places high demands on the particle size composition and pelletizing properties of the iron ore powder. Therefore, the iron ore resources must be finely ground and beneficiated to meet the required particle size and performance before they can be used in actual production. Currently, the iron ore resources used in pellet production are mostly magnetite. In the future, there will be an increasing demand for different types of iron ore fines, including hematite, limonite, and other types of iron ore resources. These different types of iron ore resources have significant differences in filtration properties after wet grinding, which has a significant impact on pellet production. If the ore powder is difficult to filter after wet grinding, has a high moisture content, and has poor dispersibility, it will significantly impact the mixing stage of the pelletizing process, resulting in uneven pellet mixing and large fluctuations in composition, affecting the quality of the pellets.

[0003] Currently, there is no ready-made method to characterize the filtration performance of iron ore powder. It is necessary to develop a method to characterize the filtration performance of different types of iron ore powder to guide pellet production, meet the requirements of the pellet mixing process for the moisture content, particle size composition, and dispersion of the iron ore powder, and produce pellets with stable composition and satisfactory quality. Summary of the Invention

[0004] The present application provides a method, device, equipment, medium and program product for determining filtration performance, which are used to solve the defect in the prior art that it is difficult to determine the filtration performance of iron ore powder, and can accurately determine the filtration performance of iron ore powder.

[0005] In a first aspect, the present application provides a method for determining filtration performance, comprising:

[0006] Obtaining a target molecular water content and a target capillary water content of a target type of wet-ground iron ore powder sample, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0007] determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0008] Obtaining an average particle size of target mineral powder obtained by freezing and breaking up the target filter cake;

[0009] determining a target dispersion index based on the average particle size;

[0010] The filtration performance of the target type of iron ore fines is determined based on the target moisture index and the target dispersion index.

[0011] Optionally, determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content includes:

[0012] determining a first parameter based on the target molecular water content and the target moisture content;

[0013] determining a second parameter based on the target molecular water content and the target capillary water content;

[0014] The target moisture index is obtained by dividing the first parameter by the second parameter.

[0015] Optionally, obtaining the average particle size of target mineral powder obtained by freezing and breaking up the target filter cake includes:

[0016] Freezing the target filter cake with liquid nitrogen to obtain a frozen target filter cake;

[0017] breaking up the frozen target filter cake to obtain the target mineral powder;

[0018] Screening the target mineral powder through a set of standard sieves to obtain a particle size value and a screening ratio of the target mineral powder corresponding to each standard sieve;

[0019] The average particle size is determined based on the particle size value and screening ratio of the target mineral powder corresponding to each standard sieve.

[0020] Optionally, determining a target dispersion index based on the average particle size includes:

[0021] The target dispersion index is obtained by multiplying the average particle size by a dispersion coefficient, which is the reciprocal of the average particle size of the first type of iron ore fines.

[0022] Optionally, determining the filtration performance of the target type of iron ore fines based on the target moisture index and the target dispersion index includes:

[0023] Multiplying the target moisture index by a first weight value to obtain a first moisture value;

[0024] Multiplying the target dispersion index by a second weight value to obtain a first dispersion value;

[0025] The first moisture value and the first dispersion value are summed to obtain a filtration index; the filtration index is used to represent the filtration performance of the target type of iron ore fines.

[0026] Optionally, the device used for filtering the iron ore powder sample is a vacuum filtration device; the vacuum filtration device is a device that filters the iron ore powder sample by using the effect of negative pressure.

[0027] In a second aspect, the present application further provides a filtering performance determination device, comprising:

[0028] a first acquisition module for acquiring a target molecular water content and a target capillary water content of a target type of iron ore powder sample after wet grinding, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0029] a first determining module, configured to determine a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0030] The second acquisition module is used to obtain the average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake;

[0031] a second determining module, configured to determine a target dispersion index based on the average particle size;

[0032] The third determining module is configured to determine the filtration performance of the target type of iron ore fines based on the target moisture index and the target dispersion index.

[0033] In a third aspect, the present application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0034] In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which implements the method described in the first aspect when executed by a processor.

[0035] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0036] The filtration performance determination method, device, equipment, medium and program product provided in the present application determine the target moisture index through the target molecular water content, target capillary water content and target moisture content, determine the target dispersion index through the average particle size, and then determine the filtration performance of the target type of iron ore powder through the target moisture index and target dispersion index. The moisture and dispersion conditions are considered uniformly as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately represented, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0038] Figure 1 Schematic diagram of the flow of the method for determining filtration performance provided in an embodiment of the present application;

[0039] Figure 2 Schematic diagram of the experimental process of the iron ore fines filtration performance test provided in the embodiment of the present application;

[0040] Figure 3 Schematic diagram of the structure of the vacuum filtration device provided in the embodiment of the present application;

[0041] Figure 4 Schematic diagram of the structure of the filtering performance determination device provided in an embodiment of the present application;

[0042] Figure 5 It is a structural diagram of an electronic device provided in an embodiment of the present application.

[0043] Reference numerals:

[0044] 1: Vacuum pump; 2: Vacuum gauge; 3: Valve; 4: Buchner funnel; 5: Filter flask; 6: Graduated cylinder. DETAILED DESCRIPTION

[0045] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0046] An embodiment of the present application provides a method for determining filtering performance, the execution subject of which may be an electronic device, for example, a controller. The following description will be made using the example of a controller as the execution subject of the method. Figure 1 Schematic diagram of the flow of the method for determining filtration performance provided in the embodiment of the present application. Figure 1 , the method may include:

[0047] Step 110: obtaining a target molecular water content and a target capillary water content of the target type of iron ore powder sample after wet grinding, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0048] Step 120: determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0049] Step 130: Obtain an average particle size of target mineral powder obtained by freezing and breaking up the target filter cake;

[0050] Step 140: determining a target dispersion index based on the average particle size;

[0051] Step 150: Determine the filtration performance of the target type of iron ore fines based on the target moisture index and the target dispersion index.

[0052] The present application considers that the filtering performance can be composed of two parts: (1) moisture. The moisture level characterizes to a certain extent whether the iron ore powder is easy to filter after wet grinding. High moisture means that it is not easy to filter, or there are difficulties in filtering, and low moisture means that it is easy to filter; (2) dispersion. After wet grinding and filtration, the dispersion of the iron ore powder is also a very critical performance. If the dispersion is good, it is easy to mix evenly with other mineral powders, which means that it is easy to filter and the filtering performance is relatively good. If the dispersion is poor, it aggregates into clumps and is not easy to mix evenly with other mineral powders, which means that it is not easy to filter and the filtering performance is relatively poor.

[0053] In step 110, the controller can obtain the target molecular water content and target capillary water content of the target type of iron ore fines sample after wet grinding. The particle size requirements for the iron ore fines sample are: -200 mesh > 80% and -325 mesh > 60%. The target molecular water content is the maximum molecular water content, and the target capillary water content is the maximum capillary water content. The controller can also obtain the target moisture content of the target filter cake obtained by filtering the iron ore fines sample.

[0054] In step 120, the controller may determine a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content. The target moisture index is an index related to the moisture content of the target type of iron ore fines and can characterize the filtration performance of the iron ore fines.

[0055] In step 130, the controller may obtain an average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake. The average particle size may be an average particle size of the target mineral powder after screening.

[0056] In step 140, the controller may determine a target dispersion index based on the average particle size. The target dispersion index may represent the dispersion of the iron ore fines after wet grinding and filtration.

[0057] In step 150 , the controller may calculate a filtration index based on the target moisture index and the target dispersion index, thereby reflecting the filtration performance of the target type of iron ore fines.

[0058] Figure 2This is a schematic diagram of the experimental process of the iron ore powder filtration performance test provided in the embodiment of the present application, which can be used as a reference in correspondence with the above steps.

[0059] The filtration performance determination method provided in the embodiment of the present application determines the target moisture index through the target molecular water content, the target capillary water content and the target moisture content, determines the target dispersion index through the average particle size, and then determines the filtration performance of the target type of iron ore powder through the target moisture index and the target dispersion index. The moisture and dispersion conditions are considered uniformly as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately represented, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production.

[0060] In some embodiments, a target moisture index is determined based on the target molecular water content, the target capillary water content, and the target moisture content, including: determining a first parameter based on the target molecular water content and the target moisture content; determining a second parameter based on the target molecular water content and the target capillary water content; and obtaining the target moisture index by dividing the first parameter by the second parameter.

[0061] The target moisture index is calculated as follows:

[0062]

[0063] Among them, K 水 is the target moisture index, W f is the target moisture content, W 分 is the target molecular water content, W 毛 is the target capillary water content.

[0064] The filtration performance determination method provided in the embodiment of the present application determines the target moisture index through the target molecular water content, the target capillary water content and the target moisture content, and then determines the filtration performance of the target type of iron ore powder through the target moisture index and the target dispersion index. The moisture and dispersion conditions are considered uniformly as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately represented, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production.

[0065] In some embodiments, obtaining the average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake includes: freezing the target filter cake with liquid nitrogen to obtain a frozen target filter cake; breaking up the frozen target filter cake to obtain the target mineral powder; sieving the target mineral powder through a set of standard sieves to obtain the particle size value and screening ratio of the target mineral powder corresponding to each standard sieve; and determining the average particle size based on the particle size value and screening ratio of the target mineral powder corresponding to each standard sieve.

[0066] The controller rapidly freezes the target filter cake obtained after filtration with liquid nitrogen, breaking it up to obtain the target mineral powder. The target mineral powder is then screened using a set of standard sieves to determine the target mineral powder particle size and screening ratio corresponding to each standard sieve. A standard sieve set includes six mesh sizes: 1mm (18 mesh), 0.42mm (40 mesh), 0.178mm (80 mesh), 0.124mm (120 mesh), 0.098mm (160 mesh), and 0.074mm (200 mesh).

[0067] The calculation formula for the average particle size is as follows:

[0068]

[0069] Among them, D av is the average particle size, n is the total number of standard sieves, D i is the particle size of the target mineral powder corresponding to the i-th standard sieve, N i is the screening ratio of the target mineral powder corresponding to the i-th standard sieve.

[0070] The filtration performance determination method provided in the embodiment of the present application determines the target dispersion index by calculating the average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake, and then determines the filtration performance of the target type of iron ore powder through the target moisture index and the target dispersion index. The moisture and dispersion conditions are considered uniformly as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately represented, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production.

[0071] In some embodiments, determining the target dispersion index based on the average particle size includes: multiplying the average particle size by a dispersion coefficient to obtain the target dispersion index; the dispersion coefficient is the inverse of the average particle size of the first type of iron ore fines.

[0072] The target dispersion index is calculated as follows:

[0073] K 分散 =k·D av

[0074] Among them, K分散 is the target dispersion index, k is the dispersion coefficient, and the reciprocal of the average particle size of a commonly used variety (first type) of iron ore powder with relatively good filtration performance after filtration is selected, for example: 0.6, D av is the average particle size.

[0075] The filtration performance determination method provided in the embodiment of the present application obtains a target dispersion index by multiplying the average particle size by the dispersion coefficient, and then determines the filtration performance of the target type of iron ore powder through the target moisture index and the target dispersion index. The moisture and dispersion conditions are considered uniformly as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately indicated, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production.

[0076] In some embodiments, based on the target moisture index and the target dispersion index, the filtration performance of the target type of iron ore powder is determined, including: multiplying the target moisture index by a first weight value to obtain a first moisture value; multiplying the target dispersion index by a second weight value to obtain a first dispersion value; summing the first moisture value and the first dispersion value to obtain a filtration index; the filtration index is used to represent the filtration performance of the target type of iron ore powder.

[0077] The filtration index is a relative index. It is calculated by taking the relative performance of a commonly used type of iron ore fines (Type 1) with relatively good filtration performance as 1 and comparing the filtration performance of other iron ore fines with this value. The filtration index is calculated by considering two factors, moisture content and dispersion, respectively. The two factors are weighted to calculate the filtration index.

[0078] Specifically, the sum of the first weight value and the second weight value is 1. The first weight value may be 0.5, and the second weight value may be 0.5.

[0079] The calculation formula of the filter index is as follows:

[0080] K=k1·K 水 +k2·K 分散

[0081] Among them, K is the filtering index, k1 is the first weight value, K 水 is the target moisture index, k2 is the second weight value, K 分散 is the target dispersion index.

[0082] A smaller K value indicates better filtration performance. A K value of 1 indicates comparable filtration performance to the first type of iron ore fines. A K value greater than 1 indicates worse filtration performance than the first type of iron ore fines. A K value less than 1 indicates better filtration performance than the first type of iron ore fines.

[0083] The filtration performance determination method provided in the embodiment of the present application determines the filtration index of the target type of iron ore powder through the target moisture index and the target dispersion index to characterize the filtration performance. The filtration performance of the iron ore powder can be detected, calculated, and quantitatively measured according to the corresponding experimental methods. This changes the situation in the industry where the wet grinding filtration properties of iron ore powder cannot be clearly stated. The filtration performance of the iron ore powder can be more accurately characterized and evaluated, which has a positive effect on exploring the application of different types of iron ore powder resources in pelletizing.

[0084] In some embodiments, the device used for filtering the iron ore powder sample is a vacuum filtration device; the vacuum filtration device is a device that uses negative pressure to filter the iron ore powder sample.

[0085] Figure 3 1 is a schematic diagram of the structure of the vacuum filtration device provided in the embodiment of the present application, wherein 1 is a vacuum pump, 2 is a vacuum gauge, 3 is a valve, 4 is a Buchner funnel, 5 is a suction filtration bottle, and 6 is a measuring cylinder.

[0086] The controller can filter the iron ore powder sample through a vacuum filtration device. The specific filtration test parameters are as follows:

[0087] Test slurry concentration: 60%;

[0088] Test pressure: 0~0.06MPa;

[0089] Test mineral powder amount: 200g;

[0090] Test time: 3 minutes.

[0091] The filtration performance determination method provided in the embodiment of the present application obtains the target moisture content of the target filter cake by filtering the iron ore powder sample through a vacuum filtration device, and can accurately determine the target moisture index, and then determine the filtration performance of the target type of iron ore powder. The moisture and dispersion conditions are taken into consideration as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately indicated, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production.

[0092] The following describes the filtering performance determination device provided in the present application. The filtering performance determination device described below and the filtering performance determination method described above can refer to each other.

[0093] Figure 4Schematic diagram of the structure of the filtering performance determination device provided in the embodiment of the present application. Figure 4 The filtering performance determination device provided in the embodiment of the present application may include:

[0094] A first acquisition module 410 is configured to obtain a target molecular water content and a target capillary water content of a target type of iron ore powder sample after wet grinding, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0095] A first determination module 420 is configured to determine a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0096] The second acquisition module 430 is used to obtain the average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake;

[0097] A second determination module 440 is configured to determine a target dispersion index based on the average particle size;

[0098] The third determination module 450 is configured to determine the filtration performance of the target type of iron ore fines based on the target moisture index and the target dispersion index.

[0099] The filtration performance determination device provided in the embodiment of the present application determines the target moisture index through the target molecular water content, the target capillary water content and the target moisture content, determines the target dispersion index through the average particle size, and then determines the filtration performance of the target type of iron ore powder through the target moisture index and the target dispersion index. The moisture and dispersion conditions are considered uniformly as reference factors for the filtration performance of the iron ore powder after wet grinding. The filtration performance of the iron ore powder can be accurately represented, and whether the wet grinding and filtration of the iron ore powder is conducive to the pellet mixing process and whether it is conducive to the production of pellets with stable chemical composition can be better characterized, thereby guiding the selection of suitable iron ore powder during pellet production.

[0100] Specifically, the above-mentioned filtering performance determination device provided in the embodiment of the present application can implement all the method steps implemented by the above-mentioned method embodiment in which the execution subject is the controller, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0101] Figure 5 Schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Figure 5As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other via the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the filtering performance determination method, for example, including:

[0102] Obtaining a target molecular water content and a target capillary water content of a target type of wet-ground iron ore powder sample, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0103] determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0104] Obtaining an average particle size of target mineral powder obtained by freezing and breaking up the target filter cake;

[0105] determining a target dispersion index based on the average particle size;

[0106] The filtration performance of the target type of iron ore fines is determined based on the target moisture index and the target dispersion index.

[0107] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0108] On the other hand, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the filtering performance determination method provided by the above methods are implemented, for example, including:

[0109] Obtaining a target molecular water content and a target capillary water content of a target type of wet-ground iron ore powder sample, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0110] determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0111] Obtaining an average particle size of target mineral powder obtained by freezing and breaking up the target filter cake;

[0112] determining a target dispersion index based on the average particle size;

[0113] The filtration performance of the target type of iron ore fines is determined based on the target moisture index and the target dispersion index.

[0114] In another aspect, the present application further provides a computer program product, comprising a computer program. The computer program may be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the steps of the filtering performance determination method provided by the above methods, for example, including:

[0115] Obtaining a target molecular water content and a target capillary water content of a target type of wet-ground iron ore powder sample, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample;

[0116] determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content;

[0117] Obtaining an average particle size of target mineral powder obtained by freezing and breaking up the target filter cake;

[0118] determining a target dispersion index based on the average particle size;

[0119] The filtration performance of the target type of iron ore fines is determined based on the target moisture index and the target dispersion index.

[0120] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0121] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0122] It should also be noted that in the embodiments of the present application, the terms "first," "second," etc. are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than that illustrated or described herein. The objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects. For example, the first object can be one or more.

[0123] In the embodiments of the present application, the term "and / or" describes the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0124] In the embodiments of the present application, "determine B based on A" means that the factor A must be considered when determining B. It is not limited to "B can be determined based on A alone", and should also include: "determine B based on A and C", "determine B based on A, C and E", "determine C based on A, and further determine B based on C", etc. It can also include taking A as a condition for determining B, for example, "when A meets the first condition, use the first method to determine B"; for example, "when A meets the second condition, determine B", etc.; for example, "when A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be a condition that takes A as a factor in determining B, for example, "when A meets the first condition, use the first method to determine C, and further determine B based on C", etc.

[0125] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar thereto.

[0126] In the embodiments of the present application, the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0127] In the embodiments of this application, unless otherwise specified or limited, the terms "connected" and "connection" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections; direct connections, or indirect connections through an intermediary. Those skilled in the art will understand the specific meanings of the above terms in the embodiments of this application based on the specific circumstances.

[0128] In the embodiments of the present application, unless otherwise expressly specified or limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Furthermore, a first feature being "above," "above," and "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below," "below," and "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0129] In the embodiments of the present application, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of the present application. In the embodiments of the present application, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for determining filtration performance, characterized in that: include: Obtaining a target molecular water content and a target capillary water content of a target type of wet-ground iron ore powder sample, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample; determining a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content; Obtaining an average particle size of target mineral powder obtained by freezing and breaking up the target filter cake; determining a target dispersion index based on the average particle size; The filtration performance of the target type of iron ore fines is determined based on the target moisture index and the target dispersion index.

2. The method for determining filtration performance according to claim 1, wherein: The determining of a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content includes: determining a first parameter based on the target molecular water content and the target moisture content; determining a second parameter based on the target molecular water content and the target capillary water content; The target moisture index is obtained by dividing the first parameter by the second parameter.

3. The method for determining filtration performance according to claim 1, wherein: The step of obtaining the average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake comprises: Freezing the target filter cake with liquid nitrogen to obtain a frozen target filter cake; breaking up the frozen target filter cake to obtain the target mineral powder; Screening the target mineral powder through a set of standard sieves to obtain a particle size value and a screening ratio of the target mineral powder corresponding to each standard sieve; The average particle size is determined based on the particle size value and screening ratio of the target mineral powder corresponding to each standard sieve.

4. The method for determining filtration performance according to claim 1, wherein: Determining a target dispersion index based on the average particle size includes: The target dispersion index is obtained by multiplying the average particle size by a dispersion coefficient, which is the reciprocal of the average particle size of the first type of iron ore fines.

5. The method for determining filtration performance according to claim 1, wherein: The determining of the filtration performance of the target type of iron ore fines based on the target moisture index and the target dispersion index includes: Multiplying the target moisture index by a first weight value to obtain a first moisture value; Multiplying the target dispersion index by a second weight value to obtain a first dispersion value; The first moisture value and the first dispersion value are summed to obtain a filtration index; the filtration index is used to represent the filtration performance of the target type of iron ore fines.

6. The method for determining filtration performance according to claim 1, wherein: The device used for filtering the iron ore powder sample is a vacuum filtration device; the vacuum filtration device is a device that filters the iron ore powder sample by using the effect of negative pressure.

7. A device for determining filtration performance, characterized in that: include: a first acquisition module for acquiring a target molecular water content and a target capillary water content of a target type of iron ore powder sample after wet grinding, and a target moisture content of a target filter cake obtained by filtering the iron ore powder sample; a first determining module, configured to determine a target moisture index based on the target molecular water content, the target capillary water content, and the target moisture content; The second acquisition module is used to obtain the average particle size of the target mineral powder obtained by freezing and breaking up the target filter cake; a second determining module, configured to determine a target dispersion index based on the average particle size; The third determining module is configured to determine the filtration performance of the target type of iron ore fines based on the target moisture index and the target dispersion index.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the filtering performance determination method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the filtering performance determination method according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the filtering performance determination method according to any one of claims 1 to 6 is implemented.

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