Method, system, sintering system, equipment and medium for determining target moisture content of mixed materials

Abstract

The present application relates to a method, system, sintering system, equipment and medium for determining a target moisture content of a mixture. The method for determining a target moisture content of a mixture includes obtaining historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of sintering quality index parameters, historical data of permeability index, current sintering raw material parameters and current sintering process parameters. The historical data of sintering raw material parameters include data on the moisture content of the mixture. A correlation model is established based on the historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of permeability index and historical data of sintering quality index parameters. The target moisture content of the mixture is confirmed based on the current sintering raw material parameters, current sintering process parameters and the correlation model. The present application can automatically determine the target moisture content of the mixture in real time while taking into account both the permeability of the material layer and the quality of the sintered mineral product.

Description

Technical Field

[0001] The present application belongs to the technical field of sintered ore, and in particular relates to a method, system, sintering system, equipment and medium for determining target moisture content of a mixture. Background Art

[0002] Moisture is an important factor affecting the granulation effect and sintering process of sintering mixture. Too much or too little moisture will cause poor air permeability of the mixture layer, resulting in a decrease in the quality of the sintered ore. In addition, too good air permeability of the mixture layer will also cause the vertical sintering speed to be too fast, resulting in poor sintered ore quality and increased return ore. Therefore, the appropriate moisture content in the mixture is crucial to sintering production.

[0003] For a long time, the appropriate moisture content in the mixture has been set by sintering technicians based on experience, and the moisture content of the mixture is adjusted according to the set target moisture value. During the granulation process of the mixture, the bonding effect of water wraps the -0.5mm adhesive powder in the mixture on the +0.5mm core particles to form small balls of the mixture, thereby improving the air permeability of the material layer. Due to the different hydrophilicity of different raw materials, the different proportions of each raw material in different batching structures, and the -0.5mm particle size distribution of each raw material often changes. Therefore, it is difficult to accurately determine the appropriate granulation moisture content of different sintering mixtures based on experience alone, which will also affect product quality indicators such as sintering speed, yield rate and sinter drum strength.

[0004] In the related art, the permeability index of the mixture layer is used as a standard for evaluating whether the moisture content of the mixture is appropriate. For example, based on sample data such as the thickness of the material layer, counterweight, large flue negative pressure, and flue gas flow rate during the sintering process, a fuzzy evaluation method is used to establish a particle size distribution optimization model based on the permeability index of the mixture layer, and then a moisture setting model is established based on the particle size distribution optimization model to obtain the optimal moisture setting value; for example, by grading and screening the mixture, the maximum capillary water content of the adhesive powder and the water holding capacity of the core particles are detected, and a mathematical model is constructed to predict the appropriate granulation moisture content; for example, a BP neural network is used to establish a permeability prediction model, with the goal of improving permeability, and the real-time optimal setting value of moisture is calculated through a search algorithm.

[0005] The above methods all use the permeability index of the mixture layer as the standard for evaluating whether the moisture content of the mixture is appropriate, but the permeability cannot completely determine the suitability of the moisture content. In the actual sintering process, if the permeability of the mixture is too good, the vertical sintering speed will be too fast, and there will be no time to produce enough bonding phase, and the sintered ore output and quality will deteriorate accordingly.

[0006] Therefore, it is necessary to develop a new method to automatically and real-time determine the target moisture content of the mixture while taking into account the permeability of the material layer and the quality of the sintered ore. Summary of the invention

[0007] In view of the shortcomings of the prior art mentioned above, the purpose of the present application is to provide a method, system, sintering system, equipment and medium for determining the target moisture content of the mixture, so as to solve the technical problems in the related technology of poor permeability of the mixture, resulting in poor sintered ore output and quality, and to automatically and real-time determine the target moisture content of the mixture while considering the permeability of the material layer and the quality of the sintered ore.

[0008] The present application provides a method for determining target moisture content of a mixture, comprising the following steps:

[0009] Acquire historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of sintering quality index parameters, historical data of air permeability index, current sintering raw material parameters and current sintering process parameters, wherein the historical data of sintering raw material parameters include mixed material moisture data;

[0010] Establish a correlation model based on the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index and the historical data of sintering quality index parameters;

[0011] The target moisture content of the mixed material is determined according to the current sintering raw material parameters, the current sintering process parameters and the associated model.

[0012] In an exemplary embodiment of the present application, obtaining historical data of air permeability index includes:

[0013] Obtain historical data on gas volume in the material layer, historical data on ventilation area, historical data on resistance loss of the material layer in the cold state, and gas characteristic constants;

[0014] The historical data of the gas permeability index are confirmed based on the historical data of the gas volume of the material layer, the historical data of the exhaust area, the historical data of the resistance loss of the material layer in a cold state and the historical data of the gas characteristic constant.

[0015] In an exemplary embodiment of the present application, confirming the target moisture content of the mixed material includes:

[0016] According to current sintering raw material parameters, current sintering process parameters, preset moisture value range and correlation model, confirm the air permeability index corresponding to different moisture values ​​within the preset moisture value range;

[0017] The target moisture content of the mixture is determined according to the air permeability index corresponding to the different moisture values.

[0018] In an exemplary embodiment of the present application, determining the air permeability index corresponding to different moisture values ​​within a preset moisture value range includes:

[0019] Get different moisture values ​​within the preset moisture value range;

[0020] The current sintering raw material parameters, the current sintering process parameters and the different moisture values ​​are input into the association model to obtain the air permeability index corresponding to the different moisture values.

[0021] In an exemplary embodiment of the present application, determining the target moisture content of the mixture according to the air permeability index corresponding to the different moisture values ​​includes:

[0022] Comparing the air permeability indexes corresponding to the different moisture values, and determining the maximum air permeability index and the second maximum air permeability index;

[0023] The target moisture content of the mixture is determined based on the maximum value of the air permeability index and the second maximum value of the air permeability index.

[0024] In an exemplary embodiment of the present application, determining the target moisture content of the mixture according to the maximum value of the air permeability index and the second maximum value of the air permeability index includes:

[0025] According to the maximum value of the permeability index, determining the sintering quality index parameter corresponding to the maximum value of the permeability index;

[0026] When the sintered ore quality index parameter corresponding to the maximum value of the permeability index is within the interval formed by the upper and lower limits of the preset sintered quality index parameter, the moisture data of the mixture corresponding to the maximum value of the permeability index is confirmed according to the maximum value of the permeability index to obtain the target moisture of the mixture;

[0027] When the sintered ore quality index parameter corresponding to the maximum value of the permeability index is not within the interval formed by the upper and lower limits of the preset sintering quality index parameter, the moisture data of the mixture corresponding to the second maximum value of the permeability index is confirmed according to the second maximum value of the permeability index to obtain the target moisture content of the mixture.

[0028] In a second aspect, the present application provides a system for determining target moisture content of a mixture, comprising:

[0029] A collection module is used to obtain historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of sintering quality index parameters, historical data of permeability index, current sintering raw material parameters and current sintering process parameters, wherein the historical data of sintering raw material parameters includes mixed material moisture data;

[0030] A correlation model building module is used to build a correlation model based on the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index and the historical data of sintering quality index parameters;

[0031] The mixture target moisture confirmation module is used to confirm the mixture target moisture according to the current sintering raw material parameters, the current sintering process parameters and the associated model.

[0032] In a third aspect, the present application provides a sintering system, which includes the system for determining target moisture content of a mixed material as described above.

[0033] In another aspect, the present application provides an electronic device, the electronic device comprising:

[0034] one or more processors;

[0035] A storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements the method for determining the target moisture content of the mixture as described above.

[0036] In yet another aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor of a computer, enables the computer to execute the method for determining target moisture content of a mixture as described above.

[0037] As described above, the method, system, sintering system, equipment and medium for determining target moisture content of mixed materials of the present application have the following beneficial effects:

[0038] The present application can automatically and real-time determine the target moisture content of the mixture based on simultaneous consideration of the permeability of the material layer and the quality of the sintered ore. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0040] Figure 1 A flow chart of a method for determining target moisture content of a mixture according to an exemplary embodiment of the present application;

[0041] Figure 2 for Figure 1 In the illustrated embodiment, the flowchart of obtaining the air permeability index in step S110 is shown in an exemplary embodiment of the present application;

[0042] Figure 3 for Figure 1 In the illustrated embodiment, the target moisture content of the mixture is confirmed in step S130 in a flowchart shown in an exemplary embodiment of the present application;

[0043] Figure 4 for Figure 3In the illustrated embodiment, in step S310, determining the air permeability index corresponding to different moisture values ​​within the preset moisture value interval is a flowchart shown in an exemplary embodiment of the present application;

[0044] Figure 5 for Figure 3 In the illustrated embodiment, in step S320, according to the air permeability index corresponding to different moisture values, the target moisture content of the mixture is confirmed in a flowchart shown in an exemplary embodiment of the present application;

[0045] Figure 6 for Figure 5 In the illustrated embodiment, step S520 is a flowchart shown in an exemplary embodiment of the present application;

[0046] Figure 7 A block diagram of a system for determining target moisture content of a mixed material according to an exemplary embodiment of the present application;

[0047] Figure 8 The figure is a schematic diagram of the structure of an electronic device shown as an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0048] The following describes the implementation of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementations, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application.

[0049] The present application is described in detail below by specific examples. It should also be understood that the following examples are only used to specifically illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Some non-essential improvements and adjustments made by those skilled in the art based on the above content of the present application belong to the scope of protection of the present application. The specific process parameters and the like in the following examples are also only examples within a suitable range, that is, those skilled in the art can make a selection within a suitable range through the description herein, and are not limited to the specific values ​​​​exemplified below.

[0050] Please refer to Figure 1 , Figure 1 The present invention is a flow chart of a method for determining a target moisture content of a mixture according to an exemplary embodiment of the present application. The method is used to confirm a target moisture content of a mixture.

[0051] like Figure 1 As shown, in an exemplary embodiment of the present application, the process of the method for determining the target moisture content of the mixture includes step S110, step S120 and step S130, which are described in detail as follows:

[0052] Step S110. Acquire historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of sintering quality index parameters, historical data of permeability index, current sintering raw material parameters and current sintering process parameters;

[0053] The sintering raw material parameters include the moisture data of the mixture, the proportion of particle size ≤0.5mm in the mixed ore, the proportion of particle size ≤0.5mm in each flux, the proportion of particle size ≤0.5mm in the fuel, the proportion of mixed ore, the proportion of each flux, the proportion of fuel, the moisture data of the mixture and the calculated feeding amount.

[0054] The particle size ratio refers to the mass content of materials in a certain particle size range in the total material after the material is graded.

[0055] The calculated loading quantity refers to the sum of the total loading quantity.

[0056] The current sintering raw material parameters include the particle size ratio of the mixed ore with a particle size of ≤0.5mm, the particle size ratio of each flux with a particle size of ≤0.5mm, the particle size ratio of the fuel with a particle size of ≤0.5mm, the mixed ore ratio, the flux ratio, the fuel ratio, the moisture data of the mixture and the calculated feeding amount.

[0057] The moisture data of the mixture can be obtained through a moisture meter, the particle size ratio of the mixed ore with a particle size of ≤0.5mm can be obtained through real-time online detection, the particle size ratio of each flux with a particle size of ≤0.5mm can be obtained through online detection, the particle size ratio of the fuel with a particle size of ≤0.5mm can be obtained through online detection, the proportion of the mixed ore can be obtained through online detection, the proportion of each flux can be obtained through online detection, the proportion of the fuel can be obtained through online detection, and the calculated loading amount can be obtained by the sum of the loading amounts in each silo.

[0058] The sintering process parameters include the air volume of each bellows fan under the igniter, the effective sintering area under the igniter, the thickness of the mixed material layer, the negative pressure of each bellows under the igniter, the gas volume of the material layer, the exhaust area, the resistance loss of the material layer in the cold state and the gas characteristic constant.

[0059] The air volume of each bellows fan under the igniter can be obtained through the detection instrument provided by the bellows fan, the effective sintering area under the igniter can be obtained by calculation based on the size of the igniter, the thickness of the mixed material layer can be obtained through detection, the negative pressure of each bellows under the igniter can be obtained through the detection instrument provided by the bellows, the gas volume of the material layer is the sum of the air volumes of each bellows fan under the igniter, the exhaust area is the effective sintering area under the igniter, the resistance loss of the material layer in the cold state is the average value of the negative pressure of each bellows under the igniter, and the gas characteristic constant can be obtained by referring to the data.

[0060] The sintering quality index parameters include the hourly output of sintered ore, the drum index of sintered ore, the powder content of sintered ore and the ferrous content of sintered ore.

[0061] The hourly output of sintered ore, sintered ore drum index, sintered ore powder content and sintered ore ferrous content can all be obtained through sampling and testing.

[0062] Step S120. Establishing a correlation model based on the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index and the historical data of sintering quality index parameters;

[0063] The association model can be constructed using the XGBoost gradient boosting decision tree algorithm. Through the association model, the sintering raw material parameters, sintering process parameters, permeability index and sintering quality index parameters can be associated with each other, wherein the sintering raw material parameters and sintering process parameters are used as inputs, and the permeability index and sintering quality index parameters are used as outputs.

[0064] Specifically, the association model obtained in this application is established as follows:

[0065] When the model is initialized and there is no tree in the model, its prediction result is 0: Add the first tree to the model:

[0066] Add a second tree to the model:

[0067]

[0068] Add the tth tree to the model:

[0069]

[0070] In the above formula, x i represents the sample set of input parameter items, f t represents the kth tree, Represents the combination of t tree models for sample x i prediction results.

[0071] The model is trained and updated daily using the latest three months of historical data.

[0072] Step S130: Determine the target moisture content of the mixture according to the current sintering raw material parameters, the current sintering process parameters and the associated model.

[0073] In the related art, the permeability index of the mixture layer is used as a standard to evaluate whether the moisture content of the mixture is appropriate. After analyzing the above scheme, the inventor found that the permeability cannot completely determine the suitability of the moisture content. In the actual sintering process, if the permeability of the mixture is too good, the vertical sintering speed will be too fast, and there will be no time to produce enough bonding phase, and the output and quality of the sintered ore will also deteriorate. Therefore, considering the establishment of a correlation model, the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index, and the historical data of sintering quality index parameters are correlated, and the target moisture content of the mixture is determined based on the correlation model, and then the target moisture content of the mixture is automatically determined in real time on the basis of considering the permeability of the material layer and the quality of the sintered ore.

[0074] See also Figure 2 , Figure 2 for Figure 1 In the illustrated embodiment, the step S110 of obtaining the air permeability index is a flowchart shown in an exemplary embodiment of the present application.

[0075] like Figure 2 As shown, in an exemplary embodiment of the present application, the process of obtaining historical data of air permeability index includes step S210 and step S220, which are described in detail as follows:

[0076] Step S210. Obtaining historical data of gas volume of the material layer, historical data of ventilation area, historical data of resistance loss of the material layer in the cold state and gas characteristic constants;

[0077] Step S220. Confirm the historical data of the gas permeability index based on the historical data of the gas volume of the material layer, the historical data of the ventilation area, the historical data of the resistance loss of the material layer in the cold state and the gas characteristic constant.

[0078] Specifically, the air permeability index can be calculated by formula (IV):

[0079]

[0080] In formula (IV), P e It represents the air permeability index; Q represents the gas volume in the material layer, in m3 / min; F represents the exhaust area, in m2; h represents the thickness of the material layer, in mm; ΔP represents the resistance loss of the material layer in the cold state, in Pa; n represents the gas characteristic constant. For the metallurgical field, n is usually taken as 0.6.

[0081] See also Figure 3 , Figure 3 for Figure 1 In the illustrated embodiment, the target moisture content of the mixture is confirmed in step S130 in a flowchart shown in an exemplary embodiment of the present application.

[0082] like Figure 3As shown, in an exemplary embodiment of the present application, the process of confirming the target moisture content of the mixture includes step S310 and step S320, which are described in detail as follows:

[0083] Step S310. According to the current sintering raw material parameters, the current sintering process parameters, the preset moisture value interval and the correlation model, confirm the air permeability index corresponding to different moisture values ​​within the preset moisture value interval;

[0084] Step S320: Determine the target moisture content of the mixture according to the air permeability index corresponding to different moisture values.

[0085] See also Figure 4 , Figure 4 for Figure 3 In the illustrated embodiment, in step S310 , determining the air permeability index corresponding to different moisture values ​​within a preset moisture value interval is a flowchart shown in an exemplary embodiment of the present application.

[0086] like Figure 4 As shown, in an exemplary embodiment of the present application, the process of confirming the air permeability index corresponding to different moisture values ​​within the preset moisture value range includes step S410 and step S420, which are described in detail as follows:

[0087] Step S410. Obtain different moisture values ​​within a preset moisture value range;

[0088] The preset moisture value range can be set by yourself, for example, set to 0.1%-10% (mass content), and the moisture value can be set by yourself within the preset moisture value range according to certain rules. For example, taking the lower limit value of the preset moisture value range as the first item and increasing it gradually with a certain tolerance (such as 0.1%), you can get a plurality of different moisture values ​​within the preset moisture value range.

[0089] Step S420: Input the current sintering raw material parameters, the current sintering process parameters and different moisture values ​​into the correlation model to obtain the air permeability index corresponding to the different moisture values.

[0090] Since the association model associates the sintering raw material parameters, sintering process parameters with the permeability index and sintering quality index parameters, the sintering raw material parameters and sintering process parameters are used as inputs, and the permeability index and sintering quality index parameters are used as outputs, the current sintering raw material parameters, the current sintering process parameters and multiple moisture values ​​are input into the association model, and the permeability index and sintering quality index parameters corresponding to different moisture values ​​can be output.

[0091] See also Figure 5 , Figure 5 for Figure 3In the illustrated embodiment, in step S320, the target moisture content of the mixture is confirmed according to the air permeability index corresponding to different moisture values ​​in a flowchart shown in an exemplary embodiment of the present application.

[0092] like Figure 5 As shown, in an exemplary embodiment of the present application, the process of confirming the target moisture content of the mixture according to the air permeability index corresponding to different moisture values ​​includes step S510 and step S520, which are described in detail as follows:

[0093] Step S510. Compare the air permeability indexes corresponding to different multiple moisture values ​​to determine the maximum air permeability index and the second maximum air permeability index;

[0094] It should be noted that the second largest air permeability index value refers to the second largest air permeability index in descending order of the air permeability index.

[0095] Step S520: Determine the target moisture content of the mixture according to the maximum value of the air permeability index and the second maximum value of the air permeability index.

[0096] See also Figure 6 , Figure 6 for Figure 5 In the illustrated embodiment, step S520 is a flowchart shown in an exemplary embodiment of the present application.

[0097] like Figure 6 As shown, in an exemplary embodiment of the present application, the process of confirming the target moisture content of the mixture according to the maximum value of the air permeability index and the second maximum value of the air permeability index includes step S610, step S620 and step S630, which are described in detail as follows:

[0098] Step S610. According to the maximum value of the permeability index, determine the sintering quality index parameter corresponding to the maximum value of the permeability index;

[0099] Since the association model associates the sintering raw material parameters, sintering process parameters with the permeability index and sintering quality index parameters, the sintering raw material parameters and sintering process parameters are used as inputs, and the permeability index and sintering quality index parameters are used as outputs, the current sintering raw material parameters, the current sintering process parameters and multiple moisture values ​​are input into the association model, and the permeability index and sintering quality index parameters corresponding to different moisture values ​​can be output. Therefore, the sintering quality index parameters corresponding to the maximum value of the permeability index can be obtained through the association model.

[0100] Step S620. When the sintered ore quality index parameter corresponding to the maximum value of the permeability index is within the interval formed by the upper and lower limits of the preset sintered quality index parameter, the mixture moisture data corresponding to the maximum value of the permeability index is confirmed according to the maximum value of the permeability index to obtain the mixture target moisture;

[0101] The upper and lower limits of the sintering quality index parameters can be defined by the user, which will not be described in detail here. Specifically, for example, the upper and lower limits of the sintering quality index parameters and the lower and upper limits of the sintering quality index parameters can be confirmed through the production experience of the technical personnel.

[0102] The interval formed by the upper and lower limits of the sintering quality index parameter refers to a numerical range greater than or equal to the lower limit of the sintering quality index parameter and less than or equal to the upper limit of the sintering quality index parameter.

[0103] Specifically, since the association model associates the sintering raw material parameters, sintering process parameters with the permeability index and sintering quality index parameters, the sintering raw material parameters and sintering process parameters are used as inputs, and the permeability index and sintering quality index parameters are used as outputs, the moisture data of the mixture corresponding to the maximum value of the permeability index can be obtained through the association model.

[0104] Step S630. When the sintered ore quality index parameter corresponding to the maximum value of the permeability index is not within the interval formed by the preset upper and lower limits of the sintering quality index parameter, the mixture moisture data corresponding to the second maximum value of the permeability index is confirmed according to the second maximum value of the permeability index to obtain the target moisture content of the mixture.

[0105] Similarly, the moisture data of the mixture corresponding to the second largest value of the permeability index can be obtained through the correlation model.

[0106] See also Figure 7 , Figure 7 A block diagram of a mixture target moisture system is shown as an exemplary embodiment of the present application.

[0107] like Figure 7 As shown, in an exemplary embodiment of the present application, the mixed material target moisture system 700 includes:

[0108] The acquisition module 710 is used to obtain the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of sintering quality index parameters, the historical data of permeability index, the current sintering raw material parameters and the current sintering process parameters. The historical data of sintering raw material parameters includes the moisture data of the mixture.

[0109] The correlation model building module 720 is used to build a correlation model according to the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index and the historical data of sintering quality index parameters;

[0110] The mixed material target moisture confirmation module 730 is used to confirm the mixed material target moisture according to the current sintering raw material parameters, the current sintering process parameters and the associated model.

[0111] It should be noted that the mixture target moisture system provided in the above embodiment and the mixture target moisture method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here. In practical applications, the mixture target moisture system provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0112] The present application provides a sintering system, which includes the mixed material target moisture determination system as described above.

[0113] Please refer to Figure 8 , an embodiment of the present application also provides an electronic device 800.

[0114] Please refer to Figure 8 , the electronic device 800 of the embodiment of the present application includes a processor 810, a memory 820 and a communication bus 830:

[0115] The communication bus 830 is used to connect the processor 810 and the memory 820;

[0116] The processor 810 is used to execute the computer program stored in the memory 820 to implement the method for determining the target moisture content of the mixture in the above embodiment.

[0117] An embodiment of the present invention further provides a computer-readable storage medium having computer-readable instructions stored thereon. When the computer-readable instructions are executed by a processor of a computer, the computer is enabled to execute the above-mentioned method for determining target moisture content of a mixture.

[0118] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable medium or any combination of the above two. Computer-readable media can be, for example, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples of computer-readable 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 may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. 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 medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0119] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order 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 a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0120] 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. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0121] On the other hand, the present application also provides a computer readable medium having a computer program stored thereon, which, when executed by a processor, implements the method for determining target moisture content of a mixture as described above. The computer readable medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0122] The above embodiments are merely illustrative of the principles and effects of the present application and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A method for determining target moisture content of a mixture, characterized in that: The following steps are involved: Acquire historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of sintering quality index parameters, historical data of air permeability index, current sintering raw material parameters and current sintering process parameters, wherein the historical data of sintering raw material parameters include mixed material moisture data; Establish a correlation model based on the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index and the historical data of sintering quality index parameters; Get different moisture values ​​within the preset moisture value range; Inputting current sintering raw material parameters, current sintering process parameters and the different moisture values ​​into the correlation model to obtain air permeability indexes corresponding to different moisture values; Comparing the air permeability indexes corresponding to the different moisture values, and determining the maximum air permeability index and the second maximum air permeability index; According to the maximum value of the permeability index, determining the sintering quality index parameter corresponding to the maximum value of the permeability index; When the sintered ore quality index parameter corresponding to the maximum value of the permeability index is within the interval formed by the upper and lower limits of the preset sintering quality index parameter, the moisture data of the mixture corresponding to the maximum value of the permeability index is confirmed according to the maximum value of the permeability index to obtain the target moisture of the mixture; When the sintered ore quality index parameter corresponding to the maximum value of the permeability index is not within the interval formed by the upper and lower limits of the preset sintering quality index parameter, the moisture data of the mixture corresponding to the second maximum value of the permeability index is confirmed according to the second maximum value of the permeability index to obtain the target moisture of the mixture.

2. The method for determining target moisture content of a mixture according to claim 1, characterized in that: Get historical data on air permeability index, including: Obtain historical data on gas volume in the material layer, historical data on ventilation area, historical data on resistance loss of the material layer in the cold state, and gas characteristic constants; The historical data of the gas permeability index are confirmed based on the historical data of the gas volume of the material layer, the historical data of the exhaust area, the historical data of the resistance loss of the material layer in the cold state and the gas characteristic constant.

3. A system for determining target moisture content of a mixture, characterized in that: include: A collection module is used to obtain historical data of sintering raw material parameters, historical data of sintering process parameters, historical data of sintering quality index parameters, historical data of permeability index, current sintering raw material parameters and current sintering process parameters, wherein the historical data of sintering raw material parameters includes mixed material moisture data; A correlation model building module is used to build a correlation model based on the historical data of sintering raw material parameters, the historical data of sintering process parameters, the historical data of permeability index and the historical data of sintering quality index parameters; The mixture target moisture confirmation module is used to obtain different moisture values ​​within a preset moisture value range; input the current sintering raw material parameters, the current sintering process parameters and the different moisture values ​​into the association model to obtain the permeability index corresponding to the different moisture values; input the current sintering raw material parameters, the current sintering process parameters and the different moisture values ​​into the association model to obtain the permeability index corresponding to the different moisture values; compare the permeability indexes corresponding to the different moisture values ​​to confirm the maximum permeability index and the second maximum permeability index; confirm the maximum permeability index based on the maximum permeability index corresponding sintering quality index parameters; when the sintered ore quality index parameter corresponding to the maximum value of the permeability index is within the interval formed by the upper and lower limits of the preset sintering quality index parameters, the mixture moisture data corresponding to the maximum value of the permeability index is confirmed according to the maximum value of the permeability index, and the target moisture content of the mixture is obtained; when the sintered ore quality index parameter corresponding to the maximum value of the permeability index is not within the interval formed by the upper and lower limits of the preset sintering quality index parameters, the mixture moisture data corresponding to the second maximum value of the permeability index is confirmed according to the second maximum value of the permeability index, and the target moisture content of the mixture is obtained.

4. A sintering system, characterized in that: Includes the system for determining target moisture content of a mixture as described in claim 3.

5. 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 determining the target moisture content of the mixture as described in claim 1 or 2.

6. 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 determining target moisture content of a mixture as claimed in claim 1 or 2.

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