Method, System, Electronic Device and Storage Medium for Predicting Metallurgical Properties of Sintered Ore

Abstract

The present invention belongs to the field of intelligent metallurgy technology and specifically discloses a method, system, electronic device, and storage medium for predicting the metallurgical properties of sintered ore. The method comprises the following steps: obtaining physical and chemical index data of iron ore powder, a blending scheme for the blended ore, and metallurgical property data of the corresponding sintered ore, and establishing a database of historical sintering ore blending schemes; constructing a sintered ore metallurgical property prediction model based on the database of historical sintering ore blending schemes, wherein a hidden layer is defined as the sintering index of the blended ore; and predicting the metallurgical properties of the sintered ore using the sintered ore metallurgical property prediction model, wherein the input of the prediction model is the blending scheme for the blended ore, and the output is the metallurgical properties of the sintered ore corresponding to the blended ore. The present invention utilizes the sintered ore metallurgical property prediction model to effectively predict the metallurgical properties of the sintered ore, providing guidance for the procurement and production of raw materials in sintering plants.

Description

Technical Field

[0001] The present invention relates to the field of intelligent metallurgical technology, and in particular to a method, system, electronic equipment and storage medium for predicting the metallurgical properties of sintered ore. Background Art

[0002] As iron ore fines continue to deplete, the quality of various types of fines is gradually deteriorating, and a large number of new varieties have appeared on the market. As market prices fluctuate, the ore fines, fluxes, and fuels used in sintering plants are also changing, which has led to an increasing demand for optimized sintering ore blends.

[0003] Traditional batching methods primarily consider product composition requirements, particle size requirements, material matching experience, and material cost targets, with optimized ore blending performed on this basis. However, sintered ore ultimately needs to be put into a blast furnace for production. The low-temperature reducibility and reducibility of sintered ore, important indicators for evaluating sintered ore quality, directly affect the permeability and reducibility of the blast furnace material column. Traditional ore blending methods still require sintering cup tests or sintering trial production on the mixed powder to determine the metallurgical properties of the sintered ore, which is detrimental to raw material procurement and continuous production in sintering plants. Summary of the Invention

[0004] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a method for predicting the metallurgical properties of sintered ore to provide guidance for the procurement and production of raw materials in a sintering plant.

[0005] To achieve the above-mentioned and other related objectives, the present invention provides, in a first aspect, a method for predicting the metallurgical properties of sintered ore, comprising the following steps:

[0006] Obtain the physical and chemical index data of iron ore fines, the ore blending plan of the mixed powder and the metallurgical performance data of the corresponding sintered ore, and establish a sintering ore blending plan database;

[0007] Based on the sintering ore blending history database, a sintered ore metallurgical property prediction model is constructed, in which the hidden layer is defined as the sintering index of the mixed powder.

[0008] The metallurgical properties of the sintered ore are predicted using a sintered ore metallurgical properties prediction model, wherein the input end of the prediction model is the ore blending scheme of the mixed powder, and the output end is the metallurgical properties of the sintered ore corresponding to the mixed powder.

[0009] Furthermore, the physical and chemical index data of the iron ore fines, the ore blending plan of the mixed powder and the metallurgical properties data of the corresponding sintered ore are obtained to establish a sintering ore blending history plan database, including:

[0010] Obtain physical and chemical index data of several types of iron ore powders, ore blending plans of several types of mixed powders, and a database of measured metallurgical properties of corresponding sintered ores, and establish a sintering ore blending plan database; the method for establishing the database of measured metallurgical properties of the corresponding sintered ores includes:

[0011] Experiments were conducted based on several mixed powder blending schemes to obtain the measured metallurgical properties of sintered ore and establish a database of measured metallurgical properties of sintered ore.

[0012] Furthermore, the metallurgical properties of the sintered ore include at least one of low-temperature reduction pulverization (RDI), reducibility (RI), load reduction softening performance (TBS, TBE, △TB) and droplet performance (TS, Td, △T, △Pm, S value).

[0013] Furthermore, the physical and chemical index data of the iron ore powder includes at least one of chemical composition, particle size composition, loss on ignition (LOI) and XRD detection data.

[0014] Furthermore, the method for obtaining the ore blending scheme of the mixed powder includes:

[0015] Determining basic parameter requirements for the mixed powder used in production, wherein the basic parameter requirements include at least one of chemical composition constraints, particle size constraints, material matching experience constraints, and material cost constraints;

[0016] Optimize the ore blending according to the basic parameter requirements and determine the ore blending plan for the mixed powder.

[0017] Furthermore, based on the sintering ore blending history database, a sintered ore metallurgical property prediction model was constructed, where the hidden layer was defined as the mixed powder sintering index, including:

[0018] Determining several iron ore powder phase compositions based on the physical and chemical index data of the iron ore powder, determining the mixed powder phase composition based on the several iron ore powder phase compositions and the mixed powder ore blending scheme, and calculating the sintering index of the mixed powder based on a preset functional relationship between the mixed powder phase composition and the sintering index;

[0019] Based on the sintering indexes of several mixed powders and the sintering ore blending history program database, a prediction function relationship between the sintering index and the metallurgical properties of the sintered ore is fitted as a sintered ore metallurgical properties prediction model.

[0020] Furthermore, the method for predicting the metallurgical properties of sintered ore also includes the following steps: updating the sintering ore blending history plan database based on the continuously updated physical and chemical index data of iron ore powder, the mixed powder ore blending plan and the metallurgical property data of the corresponding sintered ore, regularly updating the sintered ore metallurgical property prediction model, and performing adaptive reconstruction of the sintered ore metallurgical property prediction model.

[0021] Furthermore, the method for predicting the metallurgical properties of sintered ore further comprises the following steps:

[0022] The metallurgical properties of sintered ore are predicted using the sintered ore metallurgical properties prediction model to obtain the predicted values of the sintered ore metallurgical properties. The predicted values of the sintered ore metallurgical properties are compared with the measured values of the sintered ore metallurgical properties to determine the accuracy of the sintered ore metallurgical properties prediction model based on the comparison results.

[0023] Furthermore, if the error between the predicted value of the metallurgical properties of the sintered ore and the actual measured value of the metallurgical properties of the sintered ore is less than or equal to the preset error threshold, it is determined that the accuracy of the metallurgical properties prediction model of the sintered ore is high; if the error between the predicted value of the metallurgical properties of the sintered ore and the actual measured value of the metallurgical properties of the sintered ore is greater than the preset error threshold, it is determined that the accuracy of the metallurgical properties prediction model of the sintered ore is low, and the metallurgical properties prediction model of the sintered ore needs to be reconstructed.

[0024] Furthermore, the chemical composition of the iron ore powder includes TFe, SiO2, Al2O3, TiO2 and LOI.

[0025] A second aspect of the present invention provides a system for predicting metallurgical properties of sintered ore, comprising:

[0026] A training module is used to obtain physical and chemical index data of iron ore fines, the ore blending scheme of the mixed powder, and the metallurgical property data of the corresponding sintered ore, and to establish a database of historical sintering ore blending schemes; and to construct a sintered ore metallurgical property prediction model based on the sintering ore blending scheme database, in which the hidden layer is defined as the sintering index of the mixed powder;

[0027] The data prediction module uses a sintered ore metallurgical property prediction model to predict the metallurgical properties of the sintered ore. The input end of the prediction model is the ore blending plan of the mixed powder, and the output end is the metallurgical properties of the sintered ore corresponding to the mixed powder.

[0028] A third aspect of the present invention provides an electronic device, characterized in that the electronic device includes:

[0029] one or more processors;

[0030] A storage device is used to store one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the method for predicting the metallurgical properties of sintered ore as described in the first aspect.

[0031] A fourth aspect of the present invention provides a computer-readable storage medium, characterized in that a computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer executes the method for predicting the metallurgical properties of sintered ore described in the first aspect.

[0032] As described above, the method, system, electronic device and storage medium for predicting the metallurgical properties of sintered ore of the present invention have the following features:

[0033] Beneficial effects:

[0034] The present invention establishes a sintering ore blending history plan database by acquiring the physical and chemical performance indicators of iron ore powder, the ore blending plan of the mixed powder, and the corresponding sintered ore metallurgical performance data. A sintered ore metallurgical performance prediction model is constructed based on the sintering ore blending history plan database. The sintered ore metallurgical performance prediction model can effectively predict the metallurgical properties of the sintered ore, providing guidance for the procurement and production of raw materials in the sintering plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, serving to explain the principles of the present application. It is obvious that the drawings described below are merely some embodiments of the present application, and a person of ordinary skill in the art can derive other drawings based on these drawings without inventive effort. In the drawings:

[0036] Figure 1 is a flow chart of a method for predicting metallurgical properties of sintered ore, shown in an exemplary embodiment of the present application;

[0037] Figure 2 is a block diagram of a system for predicting metallurgical properties of sintered ore, shown in an exemplary embodiment of the present application;

[0038] Figure 3 is a flow chart of a method for predicting metallurgical properties of sintered ore, shown in an exemplary embodiment of the present application;

[0039] Figure 4 This is an XRD test result of PB powder shown in an exemplary embodiment of the present application.

[0040] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing an electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] The following describes the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art will readily appreciate the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments, and the various details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are intended only to illustrate the present invention and are not intended to limit the scope of protection of the present invention.

[0042] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0043] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the embodiments of the present invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring the embodiments of the present invention.

[0044] In the description and claims of the embodiments of the present disclosure, as well as in the accompanying drawings, the terms "first," "second," and the like are used to distinguish similar items and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate to describe the embodiments of the present disclosure herein. In addition, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions.

[0045] Unless otherwise stated, the term "plurality" means two or more.

[0046] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0047] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0048] See also Figure 1 , Figure 1 It is a flow chart of a method for predicting the metallurgical properties of sintered ore shown in an exemplary embodiment of the present application.

[0049] like Figure 1 As shown, the embodiment of the present disclosure provides a method for predicting the metallurgical properties of sintered ore, comprising the following steps:

[0050] Step 101: Obtain the physical and chemical index data of the iron ore powder, the ore blending plan of the mixed powder, and the metallurgical property data of the corresponding sintered ore, and establish a sintering ore blending plan history database;

[0051] Step 102: construct a sintered ore metallurgical property prediction model based on the sintering ore blending history plan database, wherein the hidden layer is defined as the mixed powder sintering index;

[0052] Step 103: Use a sinter metallurgical property prediction model to predict the metallurgical properties of the sintered ore. The prediction model takes as input the blending plan for the mixed powder and outputs the metallurgical properties of the sintered ore corresponding to the mixed powder. In some exemplary embodiments, physical and chemical index data of the iron ore fines, the blending plan for the mixed powder, and the metallurgical property data of the corresponding sintered ore are obtained to establish a sintered ore blending plan history database, including:

[0053] Obtain physical and chemical index data of several types of iron ore powders, ore blending plans of several types of mixed powders, and a database of measured metallurgical properties of corresponding sintered ores, and establish a sintering ore blending plan database; the method for establishing the database of measured metallurgical properties of the corresponding sintered ores includes:

[0054] Experiments were conducted based on several mixed powder blending schemes to obtain the measured metallurgical properties of sintered ore and establish a database of measured metallurgical properties of sintered ore.

[0055] In some exemplary embodiments, the metallurgical properties of the sintered ore include at least one of low-temperature reduction pulverization (RDI), reducibility (RI), load reduction softening performance (TBS, TBE, △TB) and droplet performance (TS, Td, △T, △Pm, S value), preferably low-temperature reduction pulverization (RDI) and reducibility (RI).

[0056] In some exemplary embodiments, the physical and chemical index data of the iron ore fines include at least one of chemical composition, particle size composition, loss on ignition (LOI), and XRD test data. The chemical composition of the iron ore fines includes at least one of TFe, SiO2, Al2O3, and TiO2.

[0057] Iron ore fines have a complex mineral composition. XRD analysis of the mineral phases divides them into three categories: limonite, hematite, and magnetite. Loss on ignition (LOI) can be used to calculate the mineral composition of the iron ore fines. Loss on ignition refers to the loss of ore weight caused by the release of crystalline water, carbonate decomposition, and the continuous release of organic matter and other volatile components during the sintering process. Sometimes, oxidation of minerals (such as magnetite) can lead to an increase in ore mass. Therefore, the limonite ratio (a), hematite ratio (b), and magnetite ratio (c) in the iron ore fines can be calculated using the following formulas:

[0058]

[0059] a+b+c=1

[0060] Wherein, LOI is the loss on ignition value of the iron ore powder, n is the amount of crystal water in magnetite, a is the proportion of limonite in the iron ore powder, b is the proportion of hematite in the iron ore powder, and c is the proportion of magnetite in the iron ore powder. In some exemplary embodiments, the method for obtaining the ore blending plan of the mixed powder includes:

[0061] Determining basic parameter requirements for the mixed powder used in production, wherein the basic parameter requirements include at least one of chemical composition constraints, particle size constraints, material matching experience constraints, and material cost constraints;

[0062] Optimize the ore blending according to the basic parameter requirements and determine the ore blending plan for the mixed powder.

[0063] In some exemplary embodiments, a sintered ore metallurgical property prediction model is constructed based on a sintering ore blending history database, wherein the hidden layer is defined as the mixed powder sintering index, including:

[0064] Determining several iron ore powder phase compositions based on the physical and chemical index data of the iron ore powder, determining the mixed powder phase composition based on the several iron ore powder phase compositions and the mixed powder ore blending scheme, and calculating the sintering index of the mixed powder based on a preset functional relationship between the mixed powder phase composition and the sintering index;

[0065] Based on the sintering indexes of several mixed powders and the sintering ore blending history program database, a prediction function relationship between the sintering index and the metallurgical properties of the sintered ore is fitted as a sintered ore metallurgical properties prediction model.

[0066] Since the mineral composition of iron ore powder affects the mineral composition of sintered ore to a certain extent, and the mineral composition of sintered ore determines its metallurgical properties, the embodiments of the present application use the mineral composition of mixed powder to predict the metallurgical properties of sintered ore. Mixed powder is a mixture of several types of iron ore powders. The mineral composition of the mixed powder is obtained by weighted calculation of the mineral phases of the iron ore powder, and each mineral phase has a different weight in the sintering index. Therefore, in the above embodiment, the sintering index of the mixed powder is calculated based on the mineral composition of the iron ore powder, and the mineral composition of the mixed powder is assigned a corresponding weight to each ore type, and is calculated using the following formula.

[0067]

[0068] Among them, x1 is the weight coefficient of limonite, x2 is the weight coefficient of hematite, x3 is the weight coefficient of magnetite, and a i is the proportion of limonite in iron ore powder i, b i is the proportion of hematite in iron ore powder i, c i is the proportion of magnetite in iron ore powder i, δ is the proportion of iron ore powder i in mixed powder, ω is the correction coefficient, and S is the sintering index.

[0069] In the above embodiment, the basic mineral phase composition of the iron ore powder can be determined by XRD and the loss on ignition value of the iron ore powder, so that the mineral phase composition of the mixed ore can be reasonably matched, effectively guiding the sintering ore production; the sintered ore metallurgical property prediction model is used to determine the reasonable mineral phase composition range of the mixed ore, thereby reducing the enterprise's ore matching-experimentation-procurement-production cycle.

[0070] In some exemplary embodiments, the method for predicting the metallurgical properties of sintered ore also includes the following steps: updating the sintering ore blending history plan database based on the continuously updated physical and chemical index data of iron ore powder, the mixed powder ore blending plan and the metallurgical property data of the corresponding sintered ore, regularly updating the sintered ore metallurgical property prediction model, and performing adaptive reconstruction of the sintered ore metallurgical property prediction model to enable continuous optimization of the mixed powder ore blending plan.

[0071] In some exemplary embodiments, the method for predicting the metallurgical properties of sintered ore further comprises the following steps:

[0072] The metallurgical properties of sintered ore are predicted using the sintered ore metallurgical properties prediction model to obtain the predicted values of the sintered ore metallurgical properties. The predicted values of the sintered ore metallurgical properties are compared with the measured values of the sintered ore metallurgical properties to determine the accuracy of the sintered ore metallurgical properties prediction model based on the comparison results.

[0073] In some exemplary embodiments, if the error between the predicted and measured metallurgical properties of the sintered ore is less than or equal to a preset error threshold, the sintered ore metallurgical properties prediction model is determined to be highly accurate. If the error between the predicted and measured metallurgical properties of the sintered ore is greater than the preset error threshold, the sintered ore metallurgical properties prediction model is determined to be inaccurate and requires reconstruction. The preset error threshold is preferably 3-7%, for example, 3%, 4%, 5%, 6%, or 7%.

[0074] See also Figure 2 , Figure 2 It is a block diagram of a system for predicting metallurgical properties of sintered ore shown in an exemplary embodiment of the present application.

[0075] like Figure 2 As shown, the embodiment of the present disclosure provides a system for predicting the metallurgical properties of sintered ore, comprising:

[0076] A training module is used to obtain physical and chemical index data of iron ore fines, the ore blending scheme of the mixed powder, and the metallurgical property data of the corresponding sintered ore, and to establish a database of historical sintering ore blending schemes; and to construct a sintered ore metallurgical property prediction model based on the sintering ore blending scheme database, in which the hidden layer is defined as the sintering index of the mixed powder;

[0077] The data prediction module uses a sintered ore metallurgical property prediction model to predict the metallurgical properties of the sintered ore. The input end of the prediction model is the ore blending plan of the mixed powder, and the output end is the metallurgical properties of the sintered ore corresponding to the mixed powder.

[0078] See also Figure 3 , Figure 3 It is a flow chart of a method for predicting the metallurgical properties of sintered ore shown in an exemplary embodiment of the present application.

[0079] like Figure 3 As shown, the embodiment of the present disclosure provides a method for predicting the metallurgical properties of sintered ore, comprising the following steps:

[0080] Step S301: Collect physical and chemical index data of iron ore fines commonly used in the factory, including chemical composition, particle size composition and XRD test data.

[0081] Step S302: Determine the basic parameter requirements of the mixed powder for production, including chemical composition constraints, particle size constraints, raw material ratio constraints, material cost constraints, etc.

[0082] According to the above basic parameter requirements of the mixed powder, the ore blending is optimized and the ore blending plan of the mixed powder is determined.

[0083] For example, Table 1 shows the composition constraint and particle size constraint indicators of a mixed powder; the raw material ratio constraint is determined according to actual production requirements, and the material cost constraint changes at any time according to market changes.

[0084] Table 1. Mixed powder composition constraints and particle size constraints

[0085]

[0086] Step S303: Conduct corresponding experiments according to the ore blending plan of the mixed powder, test the measured metallurgical properties of the sintered ore, and establish a database of the measured metallurgical properties of the sintered ore.

[0087] The metallurgical properties of sintered ore include low-temperature reduction pulverization (RDI), reducibility (RI), load reduction softening properties (TBS, TBE, ΔTB), and droplet properties (TS, Td, ΔT, ΔPm, S value). These properties reflect the behavior of the sintered ore during the blast furnace smelting process. Low-temperature reduction pulverization (RDI) and reducibility (RI) of sintered ore are tested according to GB / T 13242-2017 and GB / T 13241-2017, respectively. Other metallurgical properties can also be tested according to relevant standards or methods.

[0088] In some exemplary embodiments, the sintering indexes used in the sintered cup full firing test are as follows: The material layer height is 800 mm, the ignition temperature is 1050 ° C, the ignition time is 90 s, the ignition negative pressure is 8 kPa, the sintering negative pressure is 14 kPa, and the fuel ratio is fixed.

[0089] Step S304: extract the chemical composition and XRD test data of the iron ore powder commonly used in the factory, and analyze the mineral phase composition of the iron ore powder based on the XRD test results.

[0090] Assuming that the ratio of goethite to hydrogoethite in limonite is 1:1, the chemical formula of limonite can be simplified to Fe2O3·1.5H2O, the chemical formula of hematite is Fe2O3, and the chemical formula of magnetite is Fe3O4. If the decomposition of carbonates in the iron ore powder and the escape of other volatile components are not considered, the mineral phase composition in the iron ore powder can be obtained according to the calculation formula of the loss on ignition value (LOI) of the iron ore powder.

[0091] The calculation formula for iron ore fines loss on ignition (LOI) is as follows:

[0092]

[0093] a+b+c=1

[0094] Where LOI is the loss on ignition value of iron ore fines, n is the amount of crystalline water of limonite in iron ore fines, a is the proportion of limonite in iron ore fines, b is the proportion of hematite in iron ore fines, and c is the proportion of magnetite in iron ore fines.

[0095] Taking PB fines (also known as Pilbara mixed ore) as an example, the XRD test results are as follows: Figure 4 As shown, the main mineral phases are limonite and hematite. The loss on ignition (LOI) of the PB powder is 5.3%. Therefore, with n = 1.5, LOI = 5.3%, and c = 0, the following formula yields a = 33.17% and b = 66.83%. Therefore, the proportion of limonite in the PB powder is a = 33.17%, and the proportion of hematite is b = 66.83%.

[0096] Step S305: The mixed powder phase composition can be calculated based on the calculated iron ore powder phase composition and the mixed powder ore blending plan, and the sintering index S can be calculated based on the mixed powder phase composition and the sintering index S calculation formula.

[0097] The calculation formula of sintering index S is as follows:

[0098]

[0099] Where x1 is the weight coefficient of limonite, x2 is the weight coefficient of hematite, x3 is the weight coefficient of magnetite, and a i is the proportion of limonite in iron ore powder i, b i is the proportion of hematite in iron ore powder i, c i is the proportion of magnetite in iron ore powder i, δ is the proportion of iron ore powder i in mixed powder, ω is the correction coefficient, and S is the sintering index.

[0100] Step S306: Based on the measured metallurgical properties database of the sintered ore established in step 303 and the sintering index of the mixed powder calculated in step S305, a prediction function relationship between the sintering index and the metallurgical properties of the sintered ore can be fitted to serve as a prediction model for the metallurgical properties of the sintered ore;

[0101] Based on the sinter metallurgical property prediction model, the corresponding sinter metallurgical property prediction value can be calculated.

[0102] Step S307: collecting the physical and chemical index data of the iron ore fines, the mixed powder ore blending scheme, and the measured metallurgical properties database of the corresponding sintered ore, establishing a sintered ore blending scheme history database, and updating the sintered ore blending scheme history database based on the continuously updated physical and chemical index data of the iron ore fines, the mixed powder ore blending scheme, and the measured metallurgical properties database of the corresponding sintered ore, regularly updating the sintered ore metallurgical properties prediction model, and comparing the predicted values of the sintered ore metallurgical properties with the measured values;

[0103] If the error between the predicted value and the measured value is less than or equal to 5%, it means that the accuracy of the sintered ore metallurgical properties prediction model is high; if the error between the predicted value and the measured value is greater than 5%, it means that the accuracy of the sintered ore metallurgical properties prediction model is low, and it is necessary to update the limonite weight coefficient x1, hematite weight coefficient x2, and magnetite weight coefficient x3, optimize the prediction function relationship between the sintering index and the sintered ore metallurgical properties, and reconstruct the sintered ore metallurgical properties prediction model.

[0104] Table 2 shows the ore blending scheme of the mixed powder in some exemplary embodiments.

[0105] Table 3 shows the measured values, predicted values, and the errors between the predicted values and the measured values of the metallurgical properties of the sintered ore corresponding to the mixed powder ore blending scheme in Table 2.

[0106] In some exemplary embodiments, the measured values of the low-temperature reduction pulverization (RDI) and reducibility (RI) of the sintered ore obtained by testing according to the mixed powder and ore blending scheme shown in Table 2 are shown in Table 3.

[0107] When x1=1.0, x2=0.87, x3=0.8, and ω=1, the sintering index S of the mixed powder shown in Table 2 can be calculated according to the above sintering index S calculation formula, among which the sintering index S1 of WK-001 is 89.98%, the sintering index S2 of WK-002 is 90.03%, and the sintering index S3 of WK-003 is 91.25%.

[0108] Based on the sintering indices S1, S2, S3, and the measured values shown in Table 3, a predictive function relationship between the sintering index and the metallurgical properties of the sintered ore was fitted, and the corresponding predicted values were calculated as a prediction model for the metallurgical properties of the sintered ore.

[0109] Table 2. Mixed powder ore blending scheme

[0110]

[0111] Table 3. Measured values, predicted values and errors of metallurgical properties of sintered ore

[0112]

[0113] As shown in Table 3, it can be found that the prediction accuracy of the sinter metallurgical properties prediction model is high.

[0114] It should be noted that the system for predicting the metallurgical properties of sintered ore provided in the above-mentioned embodiment and the method for predicting the metallurgical properties of sintered ore provided in the above-mentioned embodiment are based on the same concept. The specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here. In actual applications, the system for predicting the metallurgical properties of sintered ore provided in the above-mentioned embodiment can allocate the above-mentioned functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0115] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the method for predicting the metallurgical properties of sintered ore provided in the above-mentioned embodiments.

[0116] Figure 5 The following is a schematic diagram showing the structure of a computer system suitable for implementing an electronic device according to an embodiment of the present application. Figure 5 The computer system 500 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0117] like Figure 5 As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method described in the above embodiment. Various programs and data required for system operation are also stored in the RAM 503. The CPU 501, ROM 502 and RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0118] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output section 507 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and a speaker; a storage section 508 including a hard disk; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. Removable media 511, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 510 as needed, so that computer programs read therefrom can be installed into the storage section 508 as needed.

[0119] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 509, and / or installed from a removable medium 511. When the computer program is executed by the central processing unit (CPU) 501, the various functions defined in the system of the present application are executed.

[0120] It should be noted that the computer-readable medium shown in the embodiments of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable computer program. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0121] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Among them, each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0122] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. In some cases, the names of these units do not constitute limitations on the units themselves.

[0123] Another aspect of the present application provides a computer-readable storage medium having a computer program stored thereon. When executed by a computer processor, the computer program causes the computer to perform the aforementioned method for predicting the metallurgical properties of sintered ore. The computer-readable storage medium may be included in the electronic device described in the above embodiments, or may exist independently and not be incorporated into the electronic device.

[0124] Another aspect of the present application provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method for predicting the metallurgical properties of sintered ore provided in each of the above embodiments.

[0125] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, any equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. A method for predicting the metallurgical properties of sintered ore, characterized in that: The steps include: Obtain the physical and chemical index data of iron ore fines, the ore blending plan of the mixed powder and the metallurgical performance data of the corresponding sintered ore, and establish a sintering ore blending plan database; A sintered ore metallurgical property prediction model is constructed based on a database of sintering ore blending history plans, wherein a hidden layer is defined as a mixed powder sintering index, including: determining several iron ore powder phase compositions based on physical and chemical index data of the iron ore powder; determining the mixed powder phase composition based on the several iron ore powder phase compositions and the mixed powder blending plan; and calculating the mixed powder sintering index based on a preset functional relationship between the mixed powder phase composition and the sintering index; and fitting a prediction functional relationship between the sintering index and the metallurgical property of the sintered ore based on the sintering indexes of the several mixed powders and the sintering ore blending history plan database to serve as a sintered ore metallurgical property prediction model. After XRD analysis of the mineral phase, the iron ore powder is divided into three categories: limonite, hematite and magnetite. The mineral phase composition of the iron ore powder can be calculated by the loss on ignition value of the iron ore powder: Wherein, LOI is the loss on ignition value of iron ore fines, n is the amount of crystal water in magnetite, a is the proportion of limonite in iron ore fines, b is the proportion of hematite in iron ore fines, and c is the proportion of magnetite in iron ore fines; The sintering index of the mixed powder is calculated by the following formula: Among them, x1 is the weight coefficient of limonite, x2 is the weight coefficient of hematite, x3 is the weight coefficient of magnetite, and a i is the proportion of limonite in iron ore powder i, b i is the proportion of hematite in iron ore powder i, c i is the proportion of magnetite in iron ore powder i, δ is the proportion of iron ore powder i in mixed powder, ω is the correction coefficient, and S is the sintering index; The metallurgical properties of the sintered ore are predicted using a sintered ore metallurgical properties prediction model, wherein the input end of the prediction model is the ore blending scheme of the mixed powder, and the output end is the metallurgical properties of the sintered ore corresponding to the mixed powder.

2. The method for predicting the metallurgical properties of sintered ore according to claim 1, wherein: Obtain the physical and chemical index data of iron ore fines, the ore blending plan of the mixed powder and the metallurgical performance data of the corresponding sintered ore, and establish a sintered ore blending plan history database, including: Obtain physical and chemical index data of several types of iron ore powders, ore blending plans of several types of mixed powders, and a database of measured metallurgical properties of corresponding sintered ores, and establish a sintering ore blending plan database; the method for establishing the database of measured metallurgical properties of the corresponding sintered ores includes: Experiments were conducted based on several mixed powder blending schemes to obtain the measured metallurgical properties of sintered ore and establish a database of measured metallurgical properties of sintered ore.

3. The method for predicting the metallurgical properties of sintered ore according to claim 2, wherein: Satisfy at least one of the following conditions (a) to (c): (a) the metallurgical properties of the sintered ore include at least one of low-temperature reduction pulverization, reducibility, load reduction softening performance, and droplet performance; (b) the physical and chemical index data of the iron ore fines include at least one of chemical composition, particle size composition, loss on ignition value and XRD test data; (c) The method for obtaining the ore blending scheme of the mixed powder includes: Determining basic parameter requirements for the mixed powder used in production, wherein the basic parameter requirements include at least one of chemical composition constraints, particle size constraints, material matching experience constraints, and material cost constraints; Optimize the ore blending according to the basic parameter requirements and determine the ore blending plan for the mixed powder.

4. The method for predicting the metallurgical properties of sintered ore according to claim 1, characterized in that: The method also includes the following steps: updating the sintering ore blending history plan database according to the continuously updated physical and chemical index data of the iron ore powder, the mixed powder ore blending plan and the metallurgical property data of the corresponding sintered ore, regularly updating the sintered ore metallurgical property prediction model, and performing adaptive reconstruction of the sintered ore metallurgical property prediction model.

5. The method for predicting the metallurgical properties of sintered ore according to claim 1, characterized in that: The following steps are also included: The metallurgical properties of sintered ore are predicted using the sintered ore metallurgical properties prediction model to obtain the predicted values of the sintered ore metallurgical properties. The predicted values of the sintered ore metallurgical properties are compared with the measured values of the sintered ore metallurgical properties to determine the accuracy of the sintered ore metallurgical properties prediction model based on the comparison results.

6. The method for predicting the metallurgical properties of sintered ore according to claim 3, wherein: If the error between the predicted value of the metallurgical property of the sintered ore and the measured value of the metallurgical property of the sintered ore is less than or equal to a preset error threshold, it is determined that the accuracy of the metallurgical property prediction model of the sintered ore is high; If the error between the predicted value of the metallurgical properties of the sintered ore and the measured value of the metallurgical properties of the sintered ore is greater than the preset error threshold, it is determined that the accuracy of the metallurgical properties prediction model of the sintered ore is low and the metallurgical properties prediction model of the sintered ore needs to be reconstructed.

7. A system for predicting the metallurgical properties of sintered ore, characterized in that: include: The training module is used to obtain the physical and chemical index data of iron ore fines, the ore blending plan of the mixed powder, and the metallurgical performance data of the corresponding sintered ore, and to establish a database of historical sintering ore blending plans; and for constructing a sintered ore metallurgical property prediction model based on a sintering ore blending history program database, wherein the hidden layer is defined as a mixed powder sintering index, including: determining several iron ore powder ore phase compositions based on physical and chemical index data analysis of the iron ore powder, determining the mixed powder ore phase composition based on the several iron ore powder ore phase compositions and the mixed powder ore blending program, and calculating the sintering index of the mixed powder based on a preset functional relationship between the mixed powder ore phase composition and the sintering index; and fitting a prediction functional relationship between the sintering index and the metallurgical property of the sintered ore based on the sintering indexes of the several mixed powders and the sintering ore blending history program database to serve as a sintered ore metallurgical property prediction model; After XRD analysis of the mineral phase, the iron ore powder is divided into three categories: limonite, hematite and magnetite. The mineral phase composition of the iron ore powder can be calculated by the loss on ignition value of the iron ore powder: Wherein, LOI is the loss on ignition value of iron ore fines, n is the amount of crystal water in magnetite, a is the proportion of limonite in iron ore fines, b is the proportion of hematite in iron ore fines, and c is the proportion of magnetite in iron ore fines; The sintering index of the mixed powder is calculated by the following formula: Among them, x1 is the weight coefficient of limonite, x2 is the weight coefficient of hematite, x3 is the weight coefficient of magnetite, and a i is the proportion of limonite in iron ore powder i, b i is the proportion of hematite in iron ore powder i, c i is the proportion of magnetite in iron ore powder i, δ is the proportion of iron ore powder i in mixed powder, ω is the correction coefficient, and S is the sintering index; The data prediction module uses a sintered ore metallurgical property prediction model to predict the metallurgical properties of the sintered ore. The input end of the prediction model is the ore blending plan of the mixed powder, and the output end is the metallurgical properties of the sintered ore corresponding to the mixed powder.

8. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the method for predicting the metallurgical properties of sintered ore according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the method for predicting the metallurgical properties of sintered ore according to any one of claims 1 to 6.

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