A system, method, device and medium for optimizing ore blending based on ore phase composition

Abstract

The present application provides a mineral blending optimization system, method, equipment and medium based on mineral phase composition. The method includes: a single mineral powder management module, which is used to create a first mapping relationship between different mineral phase compositions after sintering the single mineral powder under different sintering parameters and the corresponding sintering parameters, and associate the relationship with the attribute data of the corresponding single mineral powder; an mineral blending management module, which is used to proportion and combine the single mineral powders in the single mineral powder management module to obtain a plurality of mixed ores, determine the mineral phase composition of each mixed ore under different sintering parameters according to the first mapping relationship, and establish a second mapping relationship between the mineral phase composition and performance index of the sintered ore corresponding to the mixed ore; an mineral blending optimization module, which is used to construct multiple mineral blending schemes that meet preset mixed ore composition constraints based on single mineral powder inventory information, and screen out the lowest-cost mineral blending scheme from the target mineral blending scheme based on the price of the single mineral powder.

Description

Technical Field

[0001] The present application relates to the application field of intelligent metallurgical technology, and in particular to a mineral blending optimization system, method, equipment and medium based on mineral phase composition. Background Art

[0002] Blast furnace ironmaking is a critical link in the steel production process, with sintered ore accounting for over 70% of the raw materials used in blast furnace ironmaking. Therefore, the quality of sintered ore affects the stable production and operation of the blast furnace. The main factors affecting sintered ore quality are the composition and sintering properties of the iron ore powder, as well as the selection of sintering parameters.

[0003] Given my country's high reliance on iron ore imports and the large fluctuations in iron ore composition, steel mills tend to blend iron ores of different types and compositions. This not only increases the integrated application of iron ore resources, but also improves the stability of sintered ore composition, promoting stable blast furnace production. While there has been extensive research on ore blending in China, most scholars primarily consider linear combinations of parameters such as the composition of individual ore powders and basic sintering characteristics when conducting ore blending. These researchers fail to consider the mutual influence of individual ores and the impact of sintering parameter selection on sintered ore performance. This results in low controllability of blended sintered ore performance indicators and significant deviations from expectations. Summary of the Invention

[0004] In view of the above problems existing in the prior art, this application proposes a mineral blending optimization system, method, equipment and medium based on mineral phase composition, which mainly solves the problem of low controllability of sintered ore performance indicators after mineral blending in the existing smelting method.

[0005] In order to achieve the above-mentioned objectives and other objectives, the technical solutions adopted in this application are as follows.

[0006] The present application provides an ore blending optimization system based on ore phase composition, comprising:

[0007] A single ore powder management module is used to create a first mapping relationship between the mineral phase composition of the single ore powder after sintering under different sintering parameters and the corresponding sintering parameters, and associate it with the attribute data of the corresponding single ore powder, the attribute data including the price of the single ore powder;

[0008] an ore blending management module, configured to blend and combine the single ore powders in the single ore powder management module to obtain a plurality of mixed ores, determine the ore phase composition of each mixed ore under different sintering parameters according to the first mapping relationship, and establish a second mapping relationship between the ore phase composition and the performance index of the sintered ore corresponding to the mixed ore based on the performance index of the sintered ore obtained under the corresponding sintering parameters for each mixed ore;

[0009] The ore blending optimization module is used to construct multiple ore blending schemes that meet the preset mixed ore composition constraints based on the single ore powder inventory information, and call the second mapping relationship to determine multiple target ore blending schemes that meet the preset performance indicator constraints, so as to screen out the lowest-cost ore blending scheme from the target ore blending schemes based on the single ore powder price.

[0010] In one embodiment of the present application, the system further includes:

[0011] The parameter optimization module is used to call the performance indicators corresponding to different sintering parameters in the second mapping relationship based on the predetermined ore blending scheme, and use the sintering parameters corresponding to the optimal performance indicators as the recommended sintering parameters of the predetermined ore blending scheme.

[0012] In one embodiment of the present application, the single mineral powder management module includes:

[0013] Data acquisition unit, used to obtain the property information of different iron ores and the mineral phase composition of each iron ore under different sintering parameters; the property information includes composition, combustion loss, assimilation temperature, liquid phase fluidity index, bonding phase strength and ore price;

[0014] a first storage unit, configured to store the iron ore attribute information collected by the data collection unit as single ore powder attribute information;

[0015] The first associating unit is used to associate the mineral phase composition obtained by the data acquisition unit with the corresponding sintering parameters to establish a first mapping relationship, and input the first mapping relationship into the storage unit to update the attribute information of the corresponding single mineral powder.

[0016] In one embodiment of the present application, the ore distribution management module includes:

[0017] The ore blending unit is used to call multiple single ore powders in the single ore powder management module to mix and combine them to obtain multiple mixed ores;

[0018] Experimental data acquisition unit, used to obtain the mineral phase composition and performance indicators of the sintered ore of each mixed ore under different sintering parameters;

[0019] A data screening unit is used to eliminate mixed ores whose performance indicators do not meet the preset performance requirements;

[0020] The second association unit is used to establish a second mapping relationship between the mineral phase composition and performance index of the sintered ore corresponding to the mixed ore under different sintering parameters based on the data screened by the data screening unit;

[0021] The second storage unit is used to store the second mapping relationship.

[0022] In one embodiment of the present application, the ore distribution optimization module includes:

[0023] Constraint construction unit, used to set mixed ore composition ratio constraints and sintered ore performance index constraints;

[0024] The ore blending unit is used to connect to the inventory database of the target sintering plant, obtain available single ore powders for combination and proportioning, and obtain multiple ore blending plans that meet the constraints of the proportion of mixed ore components;

[0025] a performance prediction unit for predicting the performance index of the sintered ore corresponding to the ore blending scheme by calling the second mapping relationship when the sintering parameters of the target sintering plant remain unchanged, and outputting the ore blending scheme that meets the performance index constraints as the target ore blending scheme;

[0026] The cost estimation unit is used to calculate the cost of each target ore blending plan based on the price and usage of available single ore powder, and output the ore blending plan with the lowest cost.

[0027] In one embodiment of the present application, the parameter optimization module includes:

[0028] Data entry unit, used to enter ore allocation plans;

[0029] A data reading unit, configured to obtain a second mapping relationship in the ore distribution management module;

[0030] A first comparison unit is configured to compare the input ore blending scheme with the proportion of the mixed ore corresponding to the second mapping relationship, and obtain a second mapping relationship of the mixed ore consistent with the ore blending scheme as an output;

[0031] The second comparison unit is used to compare the performance indicators of the sintered ore under different sintering parameters based on the second mapping relationship output by the first comparison unit, and output the sintering parameters corresponding to the optimal performance indicators.

[0032] In one embodiment of the present application, the sintering parameters include: iron ore ratio, basicity, magnesium-aluminum ratio, coke powder ratio, anthracite ratio, and ignition temperature.

[0033] In one embodiment of the present application, the performance indicators include: drum strength, reducibility, and reduction pulverization of the sintered ore;

[0034] The preset performance index constraints include: the drum strength of the sintered ore is greater than 50%, the reducibility is greater than or equal to 60%, and the low-temperature reducibility is greater than or equal to 40%.

[0035] This application also provides a method for optimizing ore blending based on ore phase composition, including:

[0036] Creating a first mapping relationship between the mineral phase composition of a single ore powder after sintering under different sintering parameters and the corresponding sintering parameters, and associating the mapping relationship with the attribute data of the corresponding single ore powder, the attribute data including the price of the single ore powder;

[0037] The single ore powders in the single ore powder management module are proportioned and combined to obtain a plurality of mixed ores, and the ore phase composition of each mixed ore under different sintering parameters is determined according to the first mapping relationship, so as to establish a second mapping relationship between the ore phase composition and the performance index of the sintered ore corresponding to the mixed ore based on the performance index of the sintered ore obtained under the corresponding sintering parameters for each mixed ore;

[0038] Based on the inventory information of single mineral powder, multiple ore blending plans that meet the preset mixed ore composition constraints are constructed, and the second mapping relationship is called to determine multiple target ore blending plans that meet the preset performance indicator constraints, so as to screen out the lowest-cost ore blending plan from the target ore blending plans based on the single mineral powder price.

[0039] In one embodiment of the present application, after establishing the second mapping relationship between the mineral phase composition and the performance index of the sintered ore corresponding to the mixed ore, the following steps are further included:

[0040] Based on the predetermined ore blending scheme, the performance indicators corresponding to different sintering parameters in the second mapping relationship are called, and the sintering parameters corresponding to the optimal performance indicators are used as recommended sintering parameters of the predetermined ore blending scheme.

[0041] The present application also provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program and performs the steps of a mineral blending optimization method based on mineral phase composition.

[0042] The present application also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of a mineral blending optimization method based on mineral phase composition when the computer program is executed by a processor.

[0043] As described above, the present application provides a mineral blending optimization system, method, equipment and medium based on mineral phase composition, which has the following beneficial effects.

[0044] The ore blending optimization system based on ore phase composition of the present application integrates and manages the existing single ore powder data on the market through the single ore powder management module, establishes a first mapping relationship between the ore phase composition of the single ore powder after sintering and the adopted sintering parameters, and then calls the first mapping relationship through the ore blending management module to determine the ore phase composition of the mixed ore after multiple single ore powder proportions are mixed under corresponding sintering parameters, and then establishes a second mapping relationship between the ore phase composition and the performance indicators of the mixed sintered ore, and finally determines the ore blending scheme that meets the current mixed ore composition constraints through the ore blending optimization module using the second mapping relationship, and selects the ore blending scheme with good sintered ore performance and lowest cost, to ensure that the performance of the sintered ore after ore blending is stable and controllable; according to the ore powder selection of the mixed ore, the fluctuation of the proportion and cost of each single ore powder and actual production requirements, the ore blending scheme and sintering parameters can be optimized by predicting the relevant performance of the sintered ore under different ore blending schemes and sintering parameter conditions, so as to obtain sintered ore with excellent performance and meeting the production needs of blast furnaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a module diagram of an ore blending optimization system based on mineral phase composition in one embodiment of the present application.

[0046] Figure 2 This is a flow chart of the ore distribution optimization system in one embodiment of the present application for optimizing the ore distribution plan.

[0047] Figure 3 This is a schematic diagram of the ore blending optimization calculation process in one embodiment of the present application.

[0048] Figure 4 This is a flow chart of the system's optimization of the ore blending scheme in another embodiment of the present application.

[0049] Figure 5 This is a flow chart of the system's optimization of the ore blending scheme in another embodiment of the present application.

[0050] Figure 6 Schematic diagram of the process of the ore blending optimization method based on the mineral phase composition in one embodiment of the present application.

[0051] Figure 7 This is a schematic structural diagram of a device in one embodiment of the present application.

[0052] Figure 8 This is a structural diagram of a device in another embodiment of the present application. DETAILED DESCRIPTION

[0053] The following describes the embodiments of the present application through specific examples. Those skilled in the art can easily understand the other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0054] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application. Therefore, the illustrations only show components related to the present application 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 can be changed at will, and the component layout type may also be more complicated.

[0055] Given my country's high dependence on iron ore imports and large fluctuations in iron ore composition, various steel mills tend to blend iron ores of different types and compositions. This not only increases the integrated application of iron ore resources, but also improves the stability of sintered ore composition, promoting stable blast furnace production. There have been many studies on ore blending in China. Most scholars, when conducting ore blending, mainly consider linear combinations of parameters such as the composition of single ore powder and basic sintering characteristics. They do not consider the mutual influence between single ores and the impact of sintering parameter selection on sintered ore performance. This results in low controllability of sintered ore performance indicators after blending, and large deviations from expectations. Therefore, comprehensively considering the influencing factors and constructing the relationship between the various parameters of single ore and the performance of sintered ore after blending has important guiding significance for optimizing ore blending and actual blast furnace production.

[0056] According to relevant research, under different sintering parameter conditions, the solid-phase reaction, liquid phase generation, and condensation consolidation of the sintering process will all vary, and the mineral phase composition of the final sintered ore will also vary. The mineral phase composition of the sintered ore directly affects its metallurgical properties. Therefore, when blending ore, in order to produce sintered ore that meets the production requirements of blast furnaces, the relationship between sintering parameters and sintered ore properties must also be considered. In actual production, the supply, composition, sintering parameters, and blast furnace production requirements of iron ore powder are constantly changing. Therefore, using the mineral phase composition of the sintered ore as an intermediate parameter, constructing the relationship between the blending ratio, sintering parameters, and the relevant properties of the sintered ore is a prerequisite for improving the rationality and practicality of the ore blending plan. It is also the basis for ensuring the performance of the sintered ore and the stable operation of the blast furnace. Based on the above relationship, the ore blending plan and sintering parameters are optimized to provide technical support for sintered ore with excellent actual production performance and that meets the production requirements of blast furnaces.

[0057] Based on the ideas for solving existing problems provided above, the present application provides a mineral blending optimization system, method, equipment and medium based on mineral phase composition. The technical solution of the present application is described in detail below in conjunction with specific embodiments.

[0058] See also Figure 1 The present application provides an ore blending optimization system based on ore phase composition, which includes a single ore powder management module 10, an ore blending management module 11 and an ore blending optimization module 12.

[0059] In one embodiment, the single mineral powder management module 10 is used to create a first mapping relationship between the mineral phase composition of the single mineral powder after sintering under different sintering parameters and the corresponding sintering parameters, and associate the first mapping relationship with the attribute data of the corresponding single mineral powder for storage, the attribute data including the price of the single mineral powder.

[0060] In one embodiment, the single mineral powder management module 10 includes: a data acquisition unit, a first storage unit, and a first association unit.

[0061] In one embodiment, a data acquisition unit can be used to obtain attribute information for different iron ores and the mineralogy composition of each iron ore under different sintering parameters. This attribute information includes composition, combustion loss, assimilation temperature, liquid phase fluidity index, binder phase strength, and ore fines price. The data acquisition unit connects to the data systems of different iron ore suppliers to collect available iron ore data on the market. Basic attributes such as composition and combustion loss for different types of iron ore, as well as ore fines prices, are collated and recorded to form a single ore fines database. Specifically, the collection and collation of iron ore data can be performed using web crawlers or manual data entry. The specific collection method can be selected based on actual application requirements and is not limited here. In one embodiment, sintering experiments can be conducted for each single ore fine under different sintering parameters to obtain sintered ores for each single ore fine. The sintered ores for each single ore fine are then tested to determine the mineralogy composition of each single ore fine after sintering. The sintered ores can be tested using microscopes or other testing equipment, which is not limited here. After obtaining the mineral phase composition corresponding to the sintered ore of the single ore powder under different sintering parameters, the mineral phase composition is entered into the data acquisition unit.

[0062] In one embodiment, the first storage unit is configured to store the iron ore attribute information collected by the data collection unit as single ore fines attribute information. The first storage unit may be a conventional storage device. A single ore fines database may be stored in the first storage unit for ready access and synchronization of data such as the type and attribute information of the single ore fines in the single ore fines database.

[0063] In one embodiment, a first association unit is used to associate the mineral phase composition obtained by the data acquisition unit with the corresponding sintering parameters to establish a first mapping relationship, and input the first mapping relationship into the storage unit to update the attribute information of the corresponding single mineral powder. The first association unit can use a processor such as a CPU, an MCU, or a programmable logic gate array. The first association unit processes the single mineral powder sintering experiment related data obtained by the data acquisition unit to associate the mineral phase composition of the sintered ore obtained under different sintering parameters with the corresponding sintering parameters, establish a first mapping relationship, and associate the first mapping relationship with the corresponding single mineral powder and store it in the first storage unit, and update the attribute data of the corresponding single mineral powder in the single mineral powder database. In one embodiment, the first mapping relationship can be established through multivariate regression analysis. The method of establishing the first mapping relationship can also be adjusted according to actual application requirements and is not limited here. In one embodiment, the sintering parameters include: iron ore ratio, basicity, magnesium-aluminum ratio, coke powder ratio, anthracite ratio, ignition temperature, etc.

[0064] In one embodiment, the ore blending management module 11 is used to blend and combine the single ore powders in the single ore powder management module 10 to obtain a plurality of mixed ores, and determine the ore phase composition of each mixed ore under different sintering parameters according to the first mapping relationship, so as to establish a second mapping relationship between the ore phase composition and performance index of the sintered ore corresponding to the mixed ore based on the performance index of the sintered ore obtained under the corresponding sintering parameters for each mixed ore.

[0065] In one embodiment, the ore blending management module 11 includes: an ore blending unit, an experimental data collection unit, a data screening unit, and a second association unit.

[0066] In one embodiment, the ore blending unit is used to call multiple single ore powders in the single ore powder management module 10 for blending and combining to obtain multiple mixed ores. Specifically, the single ore powders recorded in the single ore powder database can be used to perform single ore blending to obtain multiple mixed ores obtained by mixing the single ore powders in proportion. When performing single ore blending, corresponding types of single ore powders can be selected and blended based on the actual production needs of the sintering plant to obtain mixed ores with different proportions. In one embodiment, multiple single ore powders can be selected from the single ore powder database and randomly blended to obtain multiple mixed ores. Alternatively, the mixed ores can be blended according to the blending ratio required by different sintering plants to obtain corresponding mixed ores. The specific blending method can be selected according to application requirements and is not limited here.

[0067] In one embodiment, an experimental data acquisition unit is configured to obtain the ore phase composition and performance indicators of the sintered ore of each mixed ore under different sintering parameters. Specifically, a mixed ore sintering experiment can be conducted using sintering parameters corresponding to a single ore powder sintering experiment to obtain a mixed sintered ore corresponding to each mixed ore. The mixed sintered ore is then subjected to a component analysis to obtain the ore phase composition of the mixed sintered ore. When performing the ore phase composition analysis of the sintered ore corresponding to the mixed ore, a first mapping relationship can be invoked. Based on the single ore powder selected for the mixed ore and the corresponding sintering parameters, the ore phase composition of the sintered ore corresponding to the single ore powder in the first mapping relationship can be obtained. The ore phase composition of the sintered ore corresponding to the single ore powder is linearly combined with the ore phase composition of the sintered ore corresponding to the single ore powder to obtain the ore phase composition of the corresponding mixed ore. The ore phase composition of the mixed sintered ore and the corresponding sintering parameters are entered into the experimental data acquisition unit. The experimental data acquisition unit can include a terminal display device such as a computer terminal or a touch screen. In one embodiment, the performance indicators of the sintered ore include: drum strength, reducibility, low-temperature reduction pulverization, and soft melt dripping performance of the sintered ore.

[0068] In one embodiment, the mineral phase composition may include the proportions of magnetite (Fe 3 O 4 ), hematite (Fe 2 O 3 ), calcium ferrite, and silicate.

[0069] In one embodiment, the data screening unit is used to eliminate mixed ores whose performance indicators do not meet the preset performance requirements. Specifically, the performance requirements can be set as: the drum strength of the sintered ore is greater than or equal to 50%, the reducibility is greater than or equal to 60%, the low-temperature reduction pulverization is greater than or equal to 40%, etc., which can be adjusted according to actual production requirements. If the performance indicators of the sintered ore do not meet the preset performance requirements, the corresponding sintering parameter data will be eliminated. When the performance indicators of each sintered ores corresponding to the same mixed ore under different sintering parameters do not meet the preset performance requirements, the corresponding mixed ore related experimental data will be eliminated. The data screening unit can be composed of a comparator circuit, which compares the sintered ore performance indicators with the preset performance requirements through the comparator circuit, outputs the comparison result, and then determines whether the corresponding data needs to be eliminated based on the comparison result.

[0070] In one embodiment, the second association unit is configured to establish, based on the data filtered by the data screening unit, a second mapping relationship between the mineralogy composition of the sintered ore corresponding to the mixed ore and the performance indicators under different sintering parameters. Specifically, a multivariate regression analysis can be used to determine the second mapping relationship between the mineralogy composition of the sintered ore corresponding to the mixed ore and the corresponding performance indicators. The second association unit can utilize the same structural components as the first association unit for data association processing.

[0071] In one embodiment, the second storage unit is used to store the second mapping relationship. When a mixed ore with a different proportioning scheme is added, the second mapping relationship in the second storage unit can be synchronously updated.

[0072] In one embodiment, the ore blending optimization module 12 is used to construct multiple ore blending schemes that meet the preset mixed ore composition constraints based on the single ore powder inventory information, and call the second mapping relationship to determine multiple target ore blending schemes that meet the preset performance indicator constraints, so as to screen out the lowest-cost ore blending scheme from the target ore blending schemes based on the single ore powder price.

[0073] In one embodiment, the ore allocation optimization module 12 includes: a constraint construction unit, an ore allocation unit, a performance prediction unit, and a cost estimation unit.

[0074] In one embodiment, a constraint construction unit is used to set constraints on the proportion of mixed ore components and performance index constraints of sintered ore. In one embodiment, the constraints on the proportion of mixed ore components required by the target sintering plant can be set according to actual production needs. For example, the component proportion constraints may include: total iron content greater than or equal to 50%, silicon dioxide less than or equal to 10%, etc., which can be adjusted according to actual production needs and are not limited here. Similarly, the performance index constraints of sintered ore properties may include: drum strength of sintered ore greater than or equal to 50%, reducibility greater than or equal to 60%, low-temperature reduction pulverization greater than or equal to 40%, etc. Specific performance index constraints can also be set according to actual production needs and are not limited here.

[0075] In one embodiment, the ore blending unit is configured to connect to the inventory database of a target sintering plant, obtain available single ore powders, and then formulate and proportion them to obtain multiple blending schemes that satisfy the mixed ore component ratio constraints. Specifically, the unit can query the existing inventory information of the target sintered ore single ore powders, determine the available single ore powder types and inventory quantities based on this inventory information, and then formulate and proportion the mixed ore based on these single ore powder types and inventory quantities to obtain multiple blending schemes. Furthermore, the multiple blending schemes obtained by proportioning can be screened using the mixed ore component ratio constraints to eliminate those that do not satisfy the mixed ore component ratio constraints.

[0076] In one embodiment, the performance prediction unit is used to call the second mapping relationship to predict the performance index of the sintered ore corresponding to the ore blending scheme when the sintering parameters of the target sintering plant remain unchanged, and output the ore blending scheme that meets the performance index constraints as the target ore blending scheme. Specifically, the second mapping relationship constructed by the ore blending management module 11 can be called as a performance prediction model. When the sintering parameters of the target sintering plant remain unchanged, the sintered ore performance index of the ore blending scheme under the sintering parameters of the sintering plant is obtained, and it is determined whether the performance index meets the preset performance index constraints. If so, the corresponding ore blending scheme is used as the target ore blending scheme. If the preset performance index constraints are not met, the corresponding ore blending scheme is discarded, thereby obtaining multiple target ore blending schemes.

[0077] In one embodiment, the cost estimation unit is used to calculate the cost of each target ore blending scheme based on the price and usage of available single ore powder, and output the ore blending scheme with the lowest cost.

[0078] In one embodiment, the system also includes a parameter optimization module for calling the performance indicators corresponding to different sintering parameters in the second mapping relationship based on a predetermined ore blending scheme, and using the sintering parameters corresponding to the optimal performance indicators as the recommended sintering parameters of the predetermined ore blending scheme.

[0079] In one embodiment, the parameter optimization module includes: a data input unit, a data reading unit, a first comparison unit, and a second comparison unit.

[0080] In one embodiment, the data entry unit is used to enter the ore blending plan; specifically, based on user needs or actual production needs, the target sintering plant has previously determined the ore blending plan for the mixed ore used for sintering, and the proportion of each single ore powder component in the ore blending plan can be entered into the data entry unit.

[0081] In one embodiment, the data reading unit is used to obtain the second mapping relationship in the ore blending management module 11. Specifically, the data reading unit can call the second mapping relationship of each mixed ores pre-established in the ore blending management module 11, and the second mapping relationship corresponds to the performance index of the sintered ore under different sintering parameters of different mixed ores.

[0082] In one embodiment, the first comparison unit is used to compare the input ore blending scheme with the proportion of the mixed ore corresponding to the second mapping relationship, and obtain the second mapping relationship of the mixed ore consistent with the ore blending scheme as an output.

[0083] In one embodiment, the second comparison unit is used to compare the performance indicators of the sintered ore under different sintering parameters based on the second mapping relationship output by the first comparison unit, and output the sintering parameters corresponding to the optimal performance indicators, so as to use the sintering parameters as recommended sintering parameters.

[0084] In one embodiment, see Figure 2 , Figure 2 The following is a flow chart of the ore blending optimization system in one embodiment of the present application for optimizing the ore blending scheme. The steps of optimizing the ore blending scheme include:

[0085] S200 collects the existing iron ore on the market, organizes and records its basic properties such as composition, burn loss, and ore powder price, and forms a single ore powder database.

[0086] S201, using existing single ore powder to conduct sintering experiments under different sintering parameter conditions, respectively detecting the mineral phase composition of the sintered ore obtained from the experiment, and using multiple regression analysis to establish the corresponding relationship between the proportion of each mineral phase and the sintering parameters.

[0087] In one embodiment, using actual sintering plant production as an example, it was determined that, in addition to iron ore, the remaining sintering raw materials primarily include lime, dolomite, coke powder, and anthracite powder. The types of sintering raw materials used in subsequent research are consistent with actual production and remain unchanged. The sintering parameters primarily consider the iron ore ratio, basicity, coke powder ratio, and anthracite ratio, represented by x1, x2, x3, and x4, respectively, with corresponding ranges of: 60% ≤ x1 ≤ 80%; 1.8 ≤ x2 ≤ 2.0; 1.5 ≤ x3 ≤ 5.6; and 0 ≤ x4 ≤ 5.6.

[0088] Using the collected single mineral powders, 40 sets of sintering cup experiments with different sintering parameters were designed for each single mineral powder. The mineral phase composition of the sintered ore obtained from the experiment was detected using a mineral phase microscope, including the proportions of magnetite (Fe3O4), hematite (Fe2O3), calcium ferrite and silicate, which were represented by M, H, C and S respectively. For the experimental results of each single mineral species, the corresponding relationship between the proportion of each mineral phase and the sintering parameters was obtained using the multivariate regression analysis method, such as M 超特 =f1(x1, x2, x3, x4), H 超特 =f2(x1, x2, x3, x4), etc.

[0089] S202, obtain the sintered ore of the mixed ore through sintering experiments of single ore proportions, actual production of a sintering plant, etc., test the relevant properties of the sintered ore respectively, calculate the mineral phase composition of the sintered ore of the mixed ore based on the mineral phase composition of the sintered ore of the single ore powder, use multivariate regression analysis to establish the corresponding relationship between each property and the mineral phase composition, and obtain a prediction model for the performance of the sintered ore of the mixed ore.

[0090] In one embodiment, 20 groups of mixed ores are obtained by random mixing based on existing single ore powders. Then, 10 groups of sintering cup tests with different sintering parameters are carried out on each group of mixed ores to obtain sintered ores. Then, the relevant performance indicators of the sintered ores are tested according to relevant national standards, mainly including drum strength TI, reducibility RI and low-temperature reduction pulverization RDI. +3.15 Etc. The mineral phase composition of the mixed ore sinter is calculated based on the linear combination of the mineral phase composition of the single ore powder sinter and the single ore powder ratio. For example, if the ratio of each single ore powder in the mixed ore 1 is 40% super special + 35% Roy Mountain + 25% Newman powder, then the magnetite mineral phase proportion of the mixed ore sinter is M 混 =40%*M 超特 +35% M 罗伊山 +25% M 纽曼粉 The calculation of the proportion of other mineral phases is similar. Then, the corresponding relationship between each property and mineral phase composition is established by multivariate regression analysis, such as TI=F1(M 混 , H 混 , C 混 , S混 ), RI=F2(M 混 , H 混 , C 混 , S 混 )wait.

[0091] S203: Based on the actual availability of single ore powder, the range of various components of the mixed ore, and other constraints, as well as the sintered ore performance prediction model and the constraint range of related properties, a calculation model is constructed, and an optimization algorithm is used to calculate the ore blending plan that meets the actual production requirements of the steel plant.

[0092] In one embodiment, the sintering parameters of a sintering plant need to be kept stable. The corresponding values ​​of the main sintering parameters are: x1 = 80%; x2 = 2.0; x3 = 2.6; x4 = 3.1. The single ore available in the plant includes 10 types of ore powders, such as Mack powder, super special, Ka powder, and Brazilian fine powder. Their proportions are respectively s1, s2, s3, s4...s 10 Indicates that the upper limit of the ratio is 1.

[0093] By collecting actual production data and based on the sintered ore properties that meet the blast furnace production requirements, the composition of the mixed ore and the range of the physical and metallurgical properties of the sintered ore are determined to be: TFe 混 ≥60%, SiO 2混 ≤4.5%, TI≥67%, RI≥80%, RDI +3.15 ≥68%, etc.

[0094] The optimization of the ore blending scheme is mainly an optimization calculation process with the goal of minimizing the ore blending cost and the constraints of meeting the mixed ore composition and the physical metallurgical properties of the sintered ore for blast furnace smelting.

[0095] 1) Constraints

[0096] Meet the physical and metallurgical performance requirements of sintered ore that meets the requirements of mixed ore composition and blast furnace production, such as: TFe 混 ≥60%, SiO 2混 ≤4.5%, TI≥67%, RI≥80%, RDI +3.15 ≥68%, etc.

[0097] The mixed ore ratio meets the following requirements:

[0098] 2) Objective function

[0099] The ore allocation cost is the lowest, that is, the ore allocation plan with the lowest output cost among the ore allocation plans that meet all conditions.

[0100] 3) Calculation process

[0101] This calculation is mainly to obtain the ore blending scheme that meets the composition of the mixed ore and the relevant properties of the sintered ore. It is completed using program calculation and outputs the scheme with the lowest ore blending cost. The calculation process is as follows: Figure 3 As shown, Figure 3 The figure is a schematic diagram of the ore distribution optimization calculation process in one embodiment of the present application. The cumulative number of initialization cycles N is 0, and the maximum number of cycles N max =20000, specific N max The value of can be determined according to actual needs and is not limited here. The system randomly generates a matching ore group (s1, s2, ...s 10 ), if the ore blending group meets the mixed ore proportion constraint, then obtain the sintering parameters x1-x4 of the target sintering plant, and analyze the mapping relationship between the sintering parameters and the ore phase composition of the sintered ore of the single ore powder according to the single ore powder sintering experiment; then read the single ore powder database to obtain the relevant parameters of the existing ore powder, and calculate the ore phase composition and composition of the sintered ore of the mixed ore according to the ore phase composition, composition and linear combination of the single ore powder proportion of the single ore powder; judge whether the mixed composition meets the preset constraint conditions according to the mixed ore composition constraint conditions, if so, obtain the relevant performance of the sintered ore of the mixed ore according to the relationship between the ore phase composition and performance obtained by experimental detection, and then analyze whether the performance indicators of the sintered ore of the mixed ore meet the preset performance indicator constraints, if so, calculate the cost of the mixed ore, compare the costs of the ore blending schemes that meet all the constraints, and find the ore blending scheme with the lowest cost for output.

[0102] according to Figure 3 The optimization calculation process can be used to determine that under the conditions of raw material type (except iron ore) and sintering parameters, the minimum cost of mixed ore for a certain factory is 894.3 yuan. At this time, the corresponding ore blending plan is 15.08% super special + 75.92% Royshan + 10% card powder, and the predicted sintered ore drum strength is 67%, reducibility is 89%, and low-temperature reduction pulverization is 68%.

[0103] In one embodiment, when the type of sintering raw materials (except iron ore) in the sintering plant changes, it is necessary to redesign the experiment on the relationship between the mineral composition of the single ore powder sinter and the sintering parameters, and redetermine the relationship between the mineral composition of the single ore powder sinter and the sintering parameters under the iron ore ratio. It is necessary to redesign the experiment on the influence of the mineral composition of the mixed ore sinter on the physical and metallurgical properties of the sinter, or obtain the sintered ore under the conditions from the sintering plant, and redetermine the relationship between the mineral composition of the mixed ore sinter and the physical and metallurgical properties of the sinter; when the type of sintering raw materials (except iron ore) does not change, the ore blending plan with the lowest cost and the best sintered ore performance can be calculated at any time based on the types of available ore powders in the sintering plant, the fluctuations in the cost of single ore, and the changes in sintering parameters.

[0104] See also Figure 4 , Figure 4This is a flow chart of the system's optimization of the ore blending scheme in another embodiment of the present application. Figure 4 The steps for optimizing the ore blending scheme include:

[0105] S400 collects the iron ore available on the market, records its composition, burn loss and other basic properties, as well as the price of ore fines, and forms a single ore fines database;

[0106] S401, using existing single ore powder to conduct sintering experiments under different sintering parameter conditions, respectively detecting the mineral phase composition of the sintered ore obtained from the experiment, and using multiple regression analysis to establish the corresponding relationship between the proportion of each mineral phase and the sintering parameters.

[0107] In one embodiment, based on actual production at a sintering plant, the main sintering raw materials, in addition to iron ore, were determined to include lime, dolomite, coke powder, and anthracite powder. The types of sintering raw materials used in subsequent research were consistent with actual production and remained unchanged. The sintering parameters primarily considered the iron ore ratio, basicity, coke powder ratio, and anthracite ratio were denoted by x1, x2, x3, and x4, respectively, with corresponding ranges of: 60% ≤ x1 ≤ 80%; 1.8 ≤ x2 ≤ 2.0; 1.5 ≤ x3 ≤ 5.6; and 0 ≤ x4 ≤ 5.6.

[0108] Using the collected single mineral powders, 40 sets of sintering cup experiments with different sintering parameters were designed for each single mineral powder. The mineral phase composition of the sintered ore obtained from the experiment was detected using a mineral phase microscope, including the proportions of magnetite (Fe3O4), hematite (Fe2O3), calcium ferrite and silicate, which were represented by M, H, C and S respectively. For the experimental results of each single mineral species, the corresponding relationship between the proportion of each mineral phase and the sintering parameters was obtained using the multivariate regression analysis method, such as M 超特 =f1(x1, x2, x3, x4), H 超特 =f2(x1, x2, x3, x4), etc.

[0109] S402, testing the relevant properties of the sintered ore obtained through sintering experiments of single ore proportions, actual production in a sintering plant, etc., calculating the mineral phase composition of the sintered ore of the mixed ore based on the mineral phase composition of the sintered ore of the single ore powder, and using multivariate regression analysis to establish the corresponding relationship between each property and the mineral phase composition, to obtain a prediction model for the performance of the sintered ore of the mixed ore.

[0110] In one embodiment, 20 groups of mixed ores are obtained by random mixing based on existing single ore powders. Then, 10 groups of sintering cup tests with different sintering parameters are carried out on each group of mixed ores to obtain sintered ores. Then, the relevant performance indicators of the sintered ores are tested according to relevant national standards, mainly including drum strength TI, reducibility RI and low-temperature reduction pulverization RDI. +3.15Etc. The mineral phase composition of the mixed ore sinter is calculated based on the linear combination of the mineral phase composition of the single ore powder sinter and the single ore powder ratio. For example, if the ratio of each single ore powder in the mixed ore 1 is 40% super special + 35% Roy Mountain + 25% Newman powder, then the magnetite mineral phase proportion of the mixed ore sinter is M 混 =40%*M 超特 +35% M 罗伊山 +25% M 纽曼粉 The calculation of the proportion of other mineral phases is similar. Then, the corresponding relationship between each property and mineral phase composition is established by multivariate regression analysis, such as TI=F1(M 混 , H 混 , C 混 , S 混 ), RI=F2(M 混 , H 混 , C 混 , S 混 )wait.

[0111] S403, based on the actual situation of the single ore powder and the given composition and other constraints, a linear programming solution is used to design a mixed ore ratio scheme with the goal of minimizing cost.

[0112] In one embodiment, by collecting actual production data and according to the sintered ore performance that meets the blast furnace production requirements, the physical metallurgical properties of the sintered ore are determined to be in the range of TI ≥ 65%, RI ≥ 80%, RDI +3.15 ≥67%, etc.

[0113] According to the existing single ore powder of the target sintering plant, the composition, cost and other related parameters of the single ore powder are obtained from the single ore powder database, and then the range of the main components of the given mixed ore, such as TFe 混 ≥59%, SiO 2混 ≤4.5%, etc., using the linear programming solution method, with the lowest cost as the goal, the mixed ore ratio scheme is designed as: 26.3% super special + 41.1% card powder + 22.5% SP10 + 10.1% coarse fine powder.

[0114] S404, with the goal of optimizing sintered ore performance, a calculation model is constructed based on the sintered ore performance prediction model and the constraint range of related performance, and an optimization algorithm is used to calculate and obtain a sintering parameter combination solution that meets the actual production requirements of the steel plant.

[0115] The optimization of sintering parameters is mainly an optimization calculation process with the goal of optimizing the performance of the sintered ore and the constraints of meeting the physical and metallurgical performance indicators of the sintered ore required for blast furnace smelting.

[0116] 1) Constraints

[0117] Meet the physical metallurgical performance requirements of sintered ore for blast furnace production, such as: TI ≥ 65%, RI ≥ 80%, RDI +3.15 ≥67%, etc.

[0118] The sintering parameter value range requirements are: 60%≤x1≤80%; 1.8≤x2≤2.0; 1.5≤x3≤5.6; 0≤x4≤5.6.

[0119] 2) Objective function

[0120] To meet the actual production requirements of the steel plant, that is, to meet all the conditions of the sintering parameter combination scheme, the output is the sintering parameter scheme that meets the actual production requirements, such as the optimal sintered ore reducibility or the optimal low-temperature reduction pulverization performance.

[0121] 3) Calculation process

[0122] It is mainly through optimization calculation to control the sintering parameter values ​​required for the production of sintered ore that meets the blast furnace operation requirements. This is completed using program calculations, and the solutions with the best reducibility and the best low-temperature reduction pulverization performance are output respectively. The calculation process is as follows Figure 5 As shown. Initialize the cumulative number of loops N to 0, the maximum number of loops N max =10000, specific N max The value of can be determined according to actual needs and is not restricted here. The system first randomly generates a sintering parameter group (x1, x2, x3, x4) to determine whether the sintering parameter group meets the preset sintering parameter constraints (60% ≤ x1 ≤ 80%; 1.8 ≤ x2 ≤ 2.0; 1.5 ≤ x3 ≤ 5.6; 0 ≤ x4 ≤ 5.6). If the sintering parameter constraints are met, the linear programming solution is used to obtain the lowest cost ratio scheme. The mapping relationship between the sintering parameters and the ore phase composition of the sintered ore of the single ore powder is analyzed according to the sintering experiment of the single ore powder; according to the ore phase composition of the sintered ore of the single ore powder and the ore phase composition of the single ore powder, the system generates a sintering parameter group (x1, x2, x3, x4) and determines whether the sintering parameter group meets the preset sintering parameter constraints (60% ≤ x1 ≤ 80%; 1.8 ≤ x2 ≤ 2.0; 1.5 ≤ x3 ≤ 5.6; 0 ≤ x4 ≤ 5.6). If the sintering parameter constraints are met, the linear programming solution is used to obtain the lowest cost ratio scheme. The mapping relationship between the sintering parameters and the ore phase composition of the sintered ore of the single ore powder is analyzed according to the sintering experiment of the single ore powder; according to the ore phase composition of the sintered ore of the single ore powder and the ore phase composition of the sintered ore of the single ore powder, the system generates a sintering parameter group (x1, x2, x3, x4) and determines whether the sintering parameter group meets the preset sintering parameter constraints (60% ≤ x1 ≤ 80%; 1.8 ≤ x2 ≤ 2.0; The mineral phase composition of the sintered ore of the mixed ore is calculated by linear combination of the proportions; the relevant performance of the sintered ore of the mixed ore is obtained based on the relationship between the mineral phase composition and the performance obtained by experimental detection, and then the performance indicators of the sintered ore of the mixed ore are analyzed to see whether they meet the preset performance indicator constraints. If the preset performance indicators are met, the reducibility and low-temperature reduction pulverization properties of the sintered ore corresponding to the sintering parameter combinations that meet all the constraints are compared, and the combinations Y1 and Y2 with the optimal reducibility and optimal low-temperature reduction pulverization properties are obtained respectively, and the corresponding sintering parameter combinations are output.

[0123] After optimization calculation, it can be found that under the conditions of this type of raw materials (except iron ore), for a certain factory, (1) the optimal reducibility of sintered ore is 87%, the low-temperature reducible pulverization is 68%, and the drum strength is 66%. At this time, the corresponding sintering parameter combination scheme Y1 is x1=79%, x2=1.90, x3=3.0%, and x4=2.5%; (2) the optimal low-temperature reducible pulverization of sintered ore is 72%, the reducibility is 80%, and the drum strength is 68%. At this time, the corresponding sintering parameter combination scheme Y2 is x1=75%, x2=1.85, x3=2.0%, and x4=4.5%.

[0124] In one embodiment, when the type of sintering raw materials (except iron ore) in the sintering plant changes, it is necessary to redesign the experiment on the relationship between the mineral composition of the single ore powder sinter and the sintering parameters, and redetermine the relationship between the mineral composition of the single ore powder sinter and the sintering parameters under the iron ore ratio. It is necessary to redesign the experiment on the influence of the mineral composition of the mixed ore sinter on the physical and metallurgical properties of the sinter, or obtain the sintered ore under this condition from the sintering plant, and redetermine the relationship between the mineral composition of the mixed ore sinter and the physical and metallurgical properties of the sinter; when the type of sintering raw materials (except iron ore) does not change, the sintering parameter combination scheme can be calculated and optimized at any time according to the ore powder selection of the mixed ore and the fluctuation of the proportion of each single ore powder. Under the condition of the lowest cost of the ratio scheme, by optimizing the sintering parameters, a sintered ore with excellent performance and meeting the blast furnace production requirements can be obtained.

[0125] Based on the above technical solution of the present application, the relevant properties of the sintered ore under different ore blending schemes and sintering parameters can be predicted according to the selection of ore powder for the mixed ore, the fluctuation of the proportion and cost of each single ore powder and the actual production requirements, so as to optimize the ore blending scheme and sintering parameters, thereby obtaining sintered ore with excellent performance and meeting the production needs of blast furnaces.

[0126] See also Figure 6 , Figure 6 This is a flow chart illustrating a method for optimizing ore blending based on mineral phase composition in one embodiment of the present application. This embodiment provides a method for optimizing ore blending based on mineral phase composition, which is used to implement the system for optimizing ore blending based on mineral phase composition in the aforementioned system embodiment. Because the technical principles of this method embodiment are similar to those of the aforementioned system embodiment, the same technical details will not be reiterated here.

[0127] In one embodiment, a method for optimizing ore blending based on ore phase composition includes the following steps:

[0128] Step S600: creating a first mapping relationship between different mineral phase compositions after sintering a single mineral powder under different sintering parameters and the corresponding sintering parameters, and associating and storing the first mapping relationship with attribute data of the corresponding single mineral powder, the attribute data including the price of the single mineral powder;

[0129] Step S601: Combine the single ore powders in proportion to obtain multiple mixed ores, determine the mineral phase composition of each mixed ores under different sintering parameters according to the first mapping relationship, and establish a second mapping relationship between the mineral phase composition and the performance index of the sintered ore corresponding to the mixed ore based on the performance index of the sintered ore obtained under the corresponding sintering parameters for each mixed ore;

[0130] Step S602: Based on the single mineral powder inventory information, construct multiple ore blending schemes that meet the preset mixed ore composition constraints, call the second mapping relationship based on the ore blending schemes to determine multiple target ore blending schemes that meet the preset performance indicator constraints, and screen out the lowest-cost ore blending scheme from the target ore blending schemes based on the single mineral powder price.

[0131] In one embodiment, after establishing the second mapping relationship between the mineral phase composition and the performance index of the sintered ore corresponding to the mixed ore, the method further includes:

[0132] Based on the predetermined ore blending scheme, the performance indicators corresponding to different sintering parameters in the second mapping relationship are called, and the sintering parameters corresponding to the optimal performance indicators are used as recommended sintering parameters of the predetermined ore blending scheme.

[0133] The present application also provides a device, which may include: one or more processors; and one or more machine-readable media having instructions stored thereon, which, when executed by the one or more processors, enable the device to execute Figure 6 In practical applications, the device can be used as a terminal device or as a server. Examples of terminal devices may include: smart phones, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, car computers, desktop computers, set-top boxes, smart TVs, wearable devices, etc. The embodiments of the present application do not limit the specific devices.

[0134] The present application also provides a non-volatile readable storage medium, which stores one or more modules (programs). When the one or more modules are applied to a device, the device can execute the embodiment of the present application. Figure 6 Instructions for the steps involved in the ore blending optimization method based on mineral phase composition.

[0135] Figure 7A schematic diagram of the hardware structure of a terminal device provided in one embodiment of the present application. As shown in the figure, the terminal device may include: an input device 1100, a first processor 1101, an output device 1102, a first memory 1103, and at least one communication bus 1104. Communication bus 1104 is used to achieve communication connections between components. First memory 1103 may include high-speed RAM memory, and may also include non-volatile storage NVM, such as at least one disk storage device. Various programs can be stored in first memory 1103 to perform various processing functions and implement the method steps of this embodiment.

[0136] Optionally, the first processor 1101 may be implemented as, for example, a central processing unit (CPU), an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and the processor 1101 is coupled to the input device 1100 and the output device 1102 via a wired or wireless connection.

[0137] Optionally, the input device 1100 may include multiple input devices, such as at least one of a user interface for a user, a device interface for a device, a software programmable interface, a camera, and a sensor. Optionally, the device interface for a device may be a wired interface for data transmission between devices, or a hardware plug-in interface for data transmission between devices (such as a USB interface, a serial port, etc.); optionally, the user interface for a user may be, for example, a user-oriented control button, a voice input device for receiving voice input, and a touch sensing device for receiving user touch input (such as a touch screen or touchpad with touch sensing function); optionally, the software programmable interface may be, for example, an entry for a user to edit or modify a program, such as an input pin interface or input interface of a chip; the output device 1102 may include output devices such as a display and a speaker.

[0138] In this embodiment, the processor of the terminal device includes functions for executing each module of the voice recognition device in each device. The specific functions and technical effects can be referred to the above embodiments and will not be repeated here.

[0139] Figure 8 A schematic diagram of the hardware structure of a terminal device provided for another embodiment of the present application. Figure 8 Yes Figure 7 A specific embodiment in the implementation process. As shown in the figure, the terminal device of this embodiment may include a second processor 1201 and a second memory 1202.

[0140] The second processor 1201 executes the computer program code stored in the second memory 1202 to implement the above embodiment. Figure 6 method.

[0141] The second memory 1202 is configured to store various types of data to support operations on the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, images, videos, etc. The second memory 1202 may include random access memory (RAM) and may also include non-volatile memory (non-volatile memory), such as at least one disk storage device.

[0142] Optionally, the first processor 1201 is provided in the processing component 1200. The terminal device may further include: a communication component 1203, a power component 1204, a multimedia component 1205, an audio component 1206, an input / output interface 1207, and / or a sensor component 1208. The specific components included in the terminal device are set according to actual needs and are not limited in this embodiment.

[0143] The processing component 1200 generally controls the overall operation of the terminal device. The processing component 1200 may include one or more second processors 1201 to execute instructions to complete the above Figure 2 In addition, the processing component 1200 may include one or more modules to facilitate interaction between the processing component 1200 and other components. For example, the processing component 1200 may include a multimedia module to facilitate interaction between the multimedia component 1205 and the processing component 1200.

[0144] The power supply component 1204 provides power to various components of the terminal device. The power supply component 1204 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the terminal device.

[0145] The multimedia component 1205 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor can not only sense the boundaries of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

[0146] The audio component 1206 is configured to output and / or input voice signals. For example, the audio component 1206 includes a microphone (MIC), which is configured to receive external voice signals when the terminal device is in an operating mode, such as a voice recognition mode. The received voice signals can be further stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the audio component 1206 also includes a speaker for outputting voice signals.

[0147] The input / output interface 1207 provides an interface between the processing component 1200 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include but are not limited to: volume buttons, start buttons, and lock buttons.

[0148] Sensor component 1208 includes one or more sensors for providing various status assessments for the terminal device. For example, sensor component 1208 can detect the open / closed state of the terminal device, the relative positioning of components, and the presence or absence of user contact with the terminal device. Sensor component 1208 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, sensor component 1208 may also include a camera, etc.

[0149] The communication component 1203 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot for inserting a SIM card, allowing the terminal device to log into a GPRS network and establish communication with a server via the Internet.

[0150] From the above, we can see that Figure 8 The communication component 1203, audio component 1206, input / output interface 1207, and sensor component 1208 involved in the embodiment can all be used as Figure 7 Implementation of the input device in the embodiment.

[0151] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A mineral blending optimization system based on mineral phase composition, characterized in that: include: A single ore powder management module is used to create a first mapping relationship between the mineral phase composition of the single ore powder after sintering under different sintering parameters and the corresponding sintering parameters, and associate it with the attribute data of the corresponding single ore powder, the attribute data including the price of the single ore powder; an ore blending management module, configured to blend and combine the single ore powders in the single ore powder management module to obtain a plurality of mixed ores, determine the ore phase composition of each mixed ore under different sintering parameters according to the first mapping relationship, and establish a second mapping relationship between the ore phase composition and the performance index of the sintered ore corresponding to the mixed ore based on the performance index of the sintered ore obtained under the corresponding sintering parameters for each mixed ore; The ore blending optimization module is used to construct multiple ore blending schemes that meet preset mixed ore composition constraints based on the single ore powder inventory information, call the second mapping relationship to determine multiple target ore blending schemes that meet preset performance index constraints, and screen out the lowest-cost ore blending scheme from the target ore blending schemes based on the single ore powder price; The parameter optimization module is used to call the performance indicators corresponding to different sintering parameters in the second mapping relationship based on the predetermined ore blending scheme, and use the sintering parameters corresponding to the optimal performance indicators as the recommended sintering parameters of the predetermined ore blending scheme.

2. The ore blending optimization system based on mineral phase composition according to claim 1 is characterized in that: The single mineral powder management module includes: Data acquisition unit, used to obtain the property information of different iron ores and the mineral phase composition of each iron ore under different sintering parameters; the property information includes composition, combustion loss, assimilation temperature, liquid phase fluidity index, bonding phase strength and ore price; a first storage unit, configured to store the iron ore attribute information collected by the data collection unit as single ore powder attribute information; The first associating unit is used to associate the mineral phase composition obtained by the data acquisition unit with the corresponding sintering parameters to establish a first mapping relationship, and input the first mapping relationship into the storage unit to update the attribute information of the corresponding single mineral powder.

3. The ore blending optimization system based on mineral phase composition according to claim 1, characterized in that: The ore blending management module includes: The ore blending unit is used to call multiple single ore powders in the single ore powder management module to mix and combine them to obtain multiple mixed ores; Experimental data acquisition unit, used to obtain the mineral phase composition and performance indicators of the sintered ore of each mixed ore under different sintering parameters; A data screening unit is used to eliminate mixed ores whose performance indicators do not meet the preset performance requirements; The second association unit is used to establish a second mapping relationship between the mineral phase composition and performance index of the sintered ore corresponding to the mixed ore under different sintering parameters based on the data screened by the data screening unit; The second storage unit is used to store the second mapping relationship.

4. The ore blending optimization system based on mineral phase composition according to claim 1, characterized in that: The ore blending optimization module includes: Constraint construction unit, used to set mixed ore composition ratio constraints and sintered ore performance index constraints; The ore blending unit is used to connect to the inventory database of the target sintering plant, obtain available single ore powders for combination and proportioning, and obtain multiple ore blending plans that meet the constraints of the proportion of mixed ore components; a performance prediction unit for predicting the performance index of the sintered ore corresponding to the ore blending scheme by calling the second mapping relationship when the sintering parameters of the target sintering plant remain unchanged, and outputting the ore blending scheme that meets the performance index constraints as the target ore blending scheme; The cost estimation unit is used to calculate the cost of each target ore blending plan based on the price and usage of available single ore powder, and output the ore blending plan with the lowest cost.

5. The ore blending optimization system based on mineral phase composition according to claim 1 is characterized in that: Parameter optimization module, including: Data entry unit, used to enter ore allocation plans; A data reading unit, configured to obtain a second mapping relationship in the ore distribution management module; A first comparison unit is configured to compare the input ore blending scheme with the proportion of the mixed ore corresponding to the second mapping relationship, and obtain a second mapping relationship of the mixed ore consistent with the ore blending scheme as an output; The second comparison unit is used to compare the performance indicators of the sintered ore under different sintering parameters based on the second mapping relationship output by the first comparison unit, and output the sintering parameters corresponding to the optimal performance indicators.

6. The ore blending optimization system based on ore phase composition according to claim 1, characterized in that: Sintering parameters include: iron ore ratio, basicity, magnesium-aluminum ratio, coke powder ratio, anthracite ratio, and ignition temperature.

7. The ore blending optimization system based on mineral phase composition according to claim 1, characterized in that: Performance indicators include: drum strength, reducibility, and reduction pulverization of sintered ore; The preset performance index constraints include: the drum strength of the sintered ore is greater than 50%, the reducibility is greater than or equal to 60%, and the low-temperature reducibility is greater than or equal to 40%.

8. A method for optimizing ore distribution based on mineral phase composition, applied to the ore distribution optimization system based on mineral phase composition according to any one of claims 1 to 7, characterized in that: include: Creating a first mapping relationship between the mineral phase composition of a single ore powder after sintering under different sintering parameters and the corresponding sintering parameters, and associating the mapping relationship with the attribute data of the corresponding single ore powder, the attribute data including the price of the single ore powder; The single ore powders in the single ore powder management module are proportioned and combined to obtain a plurality of mixed ores, and the ore phase composition of each mixed ore under different sintering parameters is determined according to the first mapping relationship, so as to establish a second mapping relationship between the ore phase composition and the performance index of the sintered ore corresponding to the mixed ore based on the performance index of the sintered ore obtained under the corresponding sintering parameters for each mixed ore; Based on the inventory information of single mineral powder, multiple ore blending plans that meet the preset mixed ore composition constraints are constructed, and the second mapping relationship is called to determine multiple target ore blending plans that meet the preset performance indicator constraints, so as to screen out the lowest-cost ore blending plan from the target ore blending plans based on the single mineral powder price.

9. The ore blending optimization method based on mineral phase composition according to claim 8, characterized in that: After establishing the second mapping relationship between the mineral phase composition and performance index of the sintered ore corresponding to the mixed ore, the following steps are also included: Based on the predetermined ore blending scheme, the performance indicators corresponding to different sintering parameters in the second mapping relationship are called, and the sintering parameters corresponding to the optimal performance indicators are used as recommended sintering parameters of the predetermined ore blending scheme.

10. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the mineral blending optimization method based on mineral phase composition as described in claim 8 or 9 when executing the computer program.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the ore blending optimization method based on mineral phase composition described in claim 8 or 9 are implemented.

Images