Method and device for determining edge gas temperature in high heat load zone of blast furnace

Abstract

The embodiments of this specification provide a method and device for determining the edge gas temperature of a high heat load zone of a blast furnace, wherein the method for determining the edge gas temperature of a high heat load zone of a blast furnace comprises: obtaining design furnace data, physical performance parameters, and operating condition data; determining a numerical simulation model based on the design furnace data and physical performance parameters; determining an offline simulation data set based on the numerical simulation model, and determining a real-time calculation model for the edge gas temperature based on the offline simulation data set; determining a variation index and a conflict index based on the real-time calculation model for the edge gas temperature and the operating condition data; constructing an edge gas temperature integration model based on the variation index and the conflict index, and determining the edge gas temperature based on the edge gas temperature integration model. By taking actual blast furnace data as a basis, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion capability is strong, which can effectively assist operators in controlling the blast furnace and ensure the stable and smooth operation of the blast furnace.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of blast furnaces, and in particular to a method for determining the edge gas temperature of a high heat load zone of a blast furnace. Background Art

[0002] Blast furnace gas temperature is a crucial indicator of proper blast furnace operation. Particularly in high heat load zones, gas temperature directly impacts the furnace's combustion process, ore reduction reactions, and charge fluidity and distribution. Gas temperature in these zones is also a key factor in controlling the proper distribution of operating furnaces. Frequent fluctuations in gas temperature can easily cause slag sloughing, leading to reduced furnace heat levels and hearth inactivity. However, as a "black box" parameter that cannot be directly monitored, gas temperature in these zones is a "black box" parameter. Real-time monitoring of gas temperature trends is impossible at the blast furnace site, resulting in delayed adjustments and difficult management of furnace conditions.

[0003] There are three main methods for monitoring edge gas temperature in high-heat-load zones of blast furnaces. The first involves indirect estimation of the gas temperature range based on data such as water temperature differences and heat load. This is subject to strong subjectivity among experts, and the results cannot be quantified, resulting in large estimation errors. The second method involves linear calculation based on the blast furnace top temperature and the theoretical combustion temperature at the tuyere. Given the variable temperature gradient within the blast furnace, this single calculation method is irrational and cannot be directly applied to calculate edge gas temperature. The third method uses numerical simulation technology to estimate the gas temperature, but this method is time-consuming, slow to respond, and difficult to use for real-time guidance in on-site production. Therefore, a better solution is urgently needed. Summary of the Invention

[0004] In light of this, embodiments of this specification provide a method for determining the edge gas temperature of a blast furnace high heat load zone. One or more embodiments of this specification also include an apparatus for determining the edge gas temperature of a blast furnace high heat load zone, a computing device, a computer-readable storage medium, and a computer program to address technical deficiencies in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a method for determining the edge gas temperature of a high heat load zone of a blast furnace is provided, comprising:

[0006] Obtain design furnace data, physical performance parameters and operating condition data;

[0007] Determine the numerical simulation model based on the designed furnace data and physical performance parameters;

[0008] Determining an offline simulation data set based on the numerical simulation model, and determining a real-time calculation model for edge gas temperature based on the offline simulation data set;

[0009] Determine the variation index and conflict index based on the real-time calculation model of edge gas temperature and operating condition data;

[0010] An edge gas temperature integration model is constructed based on the variation index and conflict index, and the edge gas temperature is determined based on the edge gas temperature integration model.

[0011] In a possible implementation, the design furnace data includes a blast furnace structure diagram and a three-dimensional dimension diagram;

[0012] Physical performance parameters include mass density, thermal conductivity and specific heat capacity;

[0013] The operating condition data include cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature.

[0014] In one possible implementation, determining an offline simulation data set based on a numerical simulation model includes:

[0015] Determine gas temperature and operating conditions;

[0016] Determine thermocouple temperature simulation data based on the numerical simulation model, gas temperature and operating conditions;

[0017] An offline simulation data set is determined based on the thermocouple temperature simulation data.

[0018] In one possible implementation, determining a real-time calculation model for edge gas temperature based on an offline simulation data set includes:

[0019] Based on the working condition data and thermocouple temperature in the offline simulation data set as input parameters and the edge gas temperature as output data, a first edge gas temperature real-time calculation model based on thermocouple temperature is constructed.

[0020] In a possible implementation, the method further includes:

[0021] Based on the heat load data and numerical simulation model, a real-time calculation model of the second edge gas temperature based on heat load was constructed using the slag crust heat balance theoretical formula.

[0022] In a possible implementation, the method further includes:

[0023] A linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, as well as the distance difference between the tuyere and the cooler;

[0024] A real-time calculation model for the third edge gas temperature based on the theoretical combustion temperature and the furnace top gas temperature is constructed based on a linear formula.

[0025] In one possible implementation, based on the edge gas temperature real-time calculation model and operating condition data, the variation index and the conflict index are determined, including:

[0026] Determining historical gas temperature data based on the first edge gas temperature real-time calculation model, the second edge gas temperature real-time calculation model, the third edge gas temperature real-time calculation model, and the operating condition data;

[0027] The variation index and conflict index are determined based on the historical data of gas temperature.

[0028] According to a second aspect of the embodiments of this specification, a device for determining the edge gas temperature of a high heat load zone of a blast furnace is provided, comprising:

[0029] A data acquisition module is configured to acquire design furnace data, physical performance parameters and operating condition data;

[0030] A numerical simulation module is configured to determine a numerical simulation model based on the designed furnace data and physical performance parameters;

[0031] a calculation model module configured to determine an offline simulation data set based on the numerical simulation model, and to determine a real-time calculation model for edge gas temperature based on the offline simulation data set;

[0032] an index determination module configured to determine a variation index and a conflict index based on a real-time calculation model of edge gas temperature and operating condition data;

[0033] The temperature determination module is configured to construct an edge gas temperature integration model based on the variation index and the conflict index, and determine the edge gas temperature based on the edge gas temperature integration model.

[0034] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0035] memory and processor;

[0036] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned method for determining the edge gas temperature of the high heat load zone of the blast furnace are realized.

[0037] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions. When the instructions are executed by a processor, the steps of the above-mentioned method for determining the edge gas temperature of the high heat load zone of the blast furnace are implemented.

[0038] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is instructed to execute the steps of the above-mentioned method for determining the edge gas temperature of a high heat load zone of a blast furnace.

[0039] The embodiments of this specification provide a method and device for determining the edge gas temperature of a high heat load zone of a blast furnace, wherein the method for determining the edge gas temperature of a high heat load zone of a blast furnace comprises: obtaining design furnace data, physical performance parameters, and operating condition data; determining a numerical simulation model based on the design furnace data and physical performance parameters; determining an offline simulation data set based on the numerical simulation model, and determining a real-time calculation model for the edge gas temperature based on the offline simulation data set; determining a variation index and a conflict index based on the real-time calculation model for the edge gas temperature and the operating condition data; constructing an edge gas temperature integration model based on the variation index and the conflict index, and determining the edge gas temperature based on the edge gas temperature integration model. By taking actual blast furnace data as a basis, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion capability is strong, which can effectively assist operators in controlling the blast furnace and ensure the stable and smooth operation of the blast furnace. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of a method for determining the edge gas temperature of a blast furnace high heat load zone provided by one embodiment of this specification;

[0041] Figure 2 This is a schematic diagram of a method for determining the edge gas temperature of a blast furnace high heat load zone provided by one embodiment of this specification;

[0042] Figure 3 This is a schematic structural diagram of a device for determining the edge gas temperature of a high heat load zone of a blast furnace provided in one embodiment of this specification;

[0043] Figure 4 This is a structural block diagram of a computing device provided by one embodiment of this specification. DETAILED DESCRIPTION

[0044] The following description sets forth many specific details to facilitate a thorough understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0045] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a," "an," and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0046] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0047] In this specification, a method for determining the edge gas temperature of a blast furnace high heat load zone is provided. This specification also involves a device for determining the edge gas temperature of a blast furnace high heat load zone, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0048] See also Figure 1 , Figure 1 A flow chart of a method for determining the edge gas temperature of a high heat load zone of a blast furnace provided according to an embodiment of the present specification is shown, which specifically includes the following steps.

[0049] Step 101: Obtain design furnace data, physical performance parameters and operating condition data.

[0050] In one possible implementation, the design furnace data includes a blast furnace structure diagram and a three-dimensional dimension diagram; physical performance parameters include mass density, thermal conductivity, and specific heat capacity; and operating condition data includes cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature, and furnace top gas temperature.

[0051] In practical applications, data on the design of the blast furnace's high heat load zone is collected, including blast furnace structural diagrams and three-dimensional dimensional drawings. Physical performance data on the blast furnace body materials is collected, including physical performance parameters such as mass density, thermal conductivity, and specific heat capacity of the furnace shell, filler materials, coolers, and refractory materials. Real-time historical operating condition data is collected, including cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature, and furnace top gas temperature. To address data issues such as inconsistent frequencies, missing values, and outliers in the historical operating condition data, historical sintering process data is processed and integrated using methods such as up-sampling and down-sampling, isolation forest recognition, and nonlinear imputation.

[0052] Step 102: Determine a numerical simulation model based on the designed furnace data and physical performance parameters.

[0053] In practical applications, a three-dimensional physical model of the cooler is designed based on the collected design furnace type and material performance data, and a three-dimensional slag numerical simulation model of the cooler is constructed in the simulation software through grid division and boundary condition setting methods.

[0054] Step 103: Determine an offline simulation data set based on the numerical simulation model, and determine a real-time calculation model for edge gas temperature based on the offline simulation data set.

[0055] In one possible implementation, determining an offline simulation data set based on a numerical simulation model includes: determining gas temperature and operating conditions; determining thermocouple temperature simulation data based on the numerical simulation model, gas temperature, and operating conditions; and determining an offline simulation data set based on the thermocouple temperature simulation data.

[0056] In practical applications, based on the three-dimensional numerical simulation model of cooler slagging, different gas temperatures and operating conditions are set. When the model reaches a stable slagging state, the corresponding thermocouple temperature simulation data is output. By simulating a large number of model cases, an offline simulation data set is constructed.

[0057] Furthermore, the following takes the position of a thermocouple for monitoring the status of a cooler as an example to explain in detail the gas temperature calculation process at this thermocouple position.

[0058] In one possible implementation, a real-time calculation model for edge gas temperature is determined based on an offline simulation data set, including: using operating condition data and thermocouple temperature in the offline simulation data set as input parameters, and edge gas temperature as output data, to construct a first real-time calculation model for edge gas temperature based on thermocouple temperature.

[0059] In practical applications, the operating condition data and thermocouple temperature from the offline simulation dataset are used as input parameters, and the gas temperature is used as output data. Supervised machine learning is used to learn the influence between these parameters and to construct a real-time gas temperature calculation model based on the thermocouple temperature. Using the actual operating condition data and thermocouple temperature data, the gas temperature at the thermocouple location is calculated in real time, labeled G1.

[0060] In a possible implementation, the method further includes: constructing a real-time calculation model for the second edge gas temperature based on heat load based on heat load data and a numerical simulation model by using a slag crust heat balance theoretical formula.

[0061] In practical applications, based on heat load data, a three-dimensional numerical simulation model of cooler slag, and expert experience, a heat load-based real-time calculation model for gas temperature is constructed using the slag heat balance theory formula. The actual heat load data can be used to calculate the gas temperature at this thermocouple location in real time, which is labeled G2. A specific example is a cooler at a certain angle on a certain layer, as shown in Formula (1):

[0062] (1)

[0063] Q represents the heat load of the cooler, J·H -1 ; G2 represents gas temperature, ℃; TC represents the convection heat transfer coefficient between the slag crust and the coal gas, 232 W·m 2 ℃ -1 ; S1 represents the area of ​​the slag layer in the three-dimensional numerical simulation model of cooling plate slag, m 2 ; Represents the percentage of heat exchanged by slag crust carried away by cooling water based on field experience, %; T G Represents the slag temperature of the slag skin, ℃.

[0064] In a possible implementation method, it also includes: constructing a linear formula based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, and the distance difference between the air outlet and the cooler; constructing a real-time calculation model for the third edge gas temperature based on the theoretical combustion temperature and the furnace top gas temperature based on the linear formula.

[0065] In practical applications, a linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, as well as the distance difference between the tuyere and the cooler. A real-time gas temperature calculation model based on the theoretical combustion temperature and the furnace top gas temperature is constructed. Using the actual theoretical combustion temperature and the furnace top gas temperature, the gas temperature corresponding to the thermocouple position can be calculated in real time, which is labeled G3. The calculation method for a specific example is shown in Formula (2):

[0066]

[0067] G3 represents the gas temperature; T L represents the theoretical combustion temperature, °C; T D represents the furnace top temperature, ℃, i represents the angle of furnace top gas temperature monitoring; L represents the distance from the furnace top to the tuyere, m; Represents the distance from the cooler to the air outlet, m.

[0068] Step 104: Determine a variation index and a conflict index based on the edge gas temperature real-time calculation model and operating condition data.

[0069] In one possible implementation, the variation index and conflict index are determined based on the edge gas temperature real-time calculation model and operating condition data, including: determining the gas temperature historical data based on the first edge gas temperature real-time calculation model, the second edge gas temperature real-time calculation model, the third edge gas temperature real-time calculation model and the operating condition data; and determining the variation index and conflict index based on the gas temperature historical data.

[0070] In practical applications, three types of gas temperature historical data are calculated based on the processed operating condition historical data within a fixed time period. Their variation index and conflict index are calculated based on the gas temperature historical data. The variation index represents the volatility of the gas temperature data and can be calculated using formulas (3) and (4) in the specific example:

[0071]

[0072] in, represents the average gas temperature, j=1, 2, 3; n Represents the number of data; Represents the variation index of gas temperature historical data, j=1, 2, 3.

[0073] The conflict index represents the similarity between different gas temperature data. In the specific example, it can be calculated using formula (5):

[0074]

[0075] in, represents the conflict index of gas temperature, j=1, 2, 3; q The number of types representing gas temperature; Represents the correlation coefficient between different gas temperatures.

[0076] Step 105: constructing an edge gas temperature integration model based on the variation index and the conflict index, and determining the edge gas temperature based on the edge gas temperature integration model.

[0077] In practical applications, based on the variation index and conflict index of gas temperatures G1, G2, and G3, a dynamic calculation rule for weight factors is constructed, and a real-time integrated calculation model for gas temperature is constructed to output the gas temperature in high heat load areas in real time. In the specific example, the dynamic calculation rule for weight factors and the integrated calculation method for gas temperature can be calculated using formulas (6) and (7), respectively:

[0078]

[0079] represents the gas temperature weight, j = 1, 2, 3; G represents the gas temperature output by the integrated computer. As historical operating condition data is continuously updated, the variation index and conflict index of gas temperatures G1, G2, and G3 are updated within different time series, enabling dynamic, real-time calculation of gas temperature G.

[0080] The embodiments of this specification provide a method and device for determining the edge gas temperature of a high heat load zone of a blast furnace, wherein the method for determining the edge gas temperature of a high heat load zone of a blast furnace comprises: obtaining design furnace data, physical performance parameters, and operating condition data; determining a numerical simulation model based on the design furnace data and physical performance parameters; determining an offline simulation data set based on the numerical simulation model, and determining a real-time calculation model for the edge gas temperature based on the offline simulation data set; determining a variation index and a conflict index based on the real-time calculation model for the edge gas temperature and the operating condition data; constructing an edge gas temperature integration model based on the variation index and the conflict index, and determining the edge gas temperature based on the edge gas temperature integration model. By taking actual blast furnace data as a basis, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion capability is strong, which can effectively assist operators in controlling the blast furnace and ensure the stable and smooth operation of the blast furnace.

[0081] Furthermore, the real-time calculation method for the edge gas temperature in the high-heat-load zone of a blast furnace, described in the embodiments of this specification, combines simulation, machine learning, heat transfer theory, and field experience. The model construction process is closely linked to the field, allowing for quantitative representation of gas temperature values. The calculation is fast, the data source is authentic, and the results are highly real-time. This calculation method is applicable to blast furnaces with various coolers and is highly scalable. Furthermore, it does not require additional monitoring equipment, resulting in no cost burden.

[0082] The real-time edge gas temperature calculation model based on thermocouple temperature in this specification combines extensive offline simulation data with machine learning to perform real-time gas temperature calculations. This transforms a numerical simulation model into a data-driven model. The data source is realistic, the model covers a wide range of operating conditions, and the calculation results are highly real-time. It also provides a real-time solution for other difficult-to-monitor parameters.

[0083] The real-time calculation model of gas temperature based on heat load in the embodiment of this specification performs real-time calculation of gas temperature based on heat transfer theory and field experience. The theory fits the field, the calculation cost is low, and the production line adaptability and interpretability are strong.

[0084] The real-time integrated calculation model of gas temperature in the embodiment of this specification is calculated by integrating the dynamic weight factor with the variation index and the conflict index. The weight factor can be dynamically updated according to the blast furnace condition. It has strong adaptability to the furnace condition, accurate calculation results, and strong real-time performance.

[0085] Corresponding to the above method embodiment, this specification also provides an embodiment of a device for determining the edge gas temperature of a high heat load zone of a blast furnace. Figure 3 FIG1 shows a schematic diagram of a device for determining the edge gas temperature of a blast furnace high heat load zone provided by an embodiment of this specification. Figure 3 As shown, the device includes:

[0086] The data acquisition module 301 is configured to acquire the designed furnace data, physical performance parameters and operating condition data;

[0087] The numerical simulation module 302 is configured to determine a numerical simulation model based on the designed furnace data and physical performance parameters;

[0088] The calculation model module 303 is configured to determine an offline simulation data set based on the numerical simulation model, and determine a real-time calculation model for edge gas temperature based on the offline simulation data set;

[0089] An index determination module 304 is configured to determine a variation index and a conflict index based on a real-time calculation model of edge gas temperature and operating condition data;

[0090] The temperature determination module 305 is configured to construct an edge gas temperature integration model based on the variation index and the conflict index, and determine the edge gas temperature based on the edge gas temperature integration model.

[0091] In a possible implementation, the design furnace data includes a blast furnace structure diagram and a three-dimensional dimension diagram;

[0092] Physical performance parameters include mass density, thermal conductivity and specific heat capacity;

[0093] The operating condition data include cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature.

[0094] In one possible implementation, determining an offline simulation data set based on a numerical simulation model includes:

[0095] Determine gas temperature and operating conditions;

[0096] Determine thermocouple temperature simulation data based on the numerical simulation model, gas temperature and operating conditions;

[0097] An offline simulation data set is determined based on the thermocouple temperature simulation data.

[0098] In one possible implementation, determining a real-time calculation model for edge gas temperature based on an offline simulation data set includes:

[0099] Based on the working condition data and thermocouple temperature in the offline simulation data set as input parameters and the edge gas temperature as output data, a first edge gas temperature real-time calculation model based on thermocouple temperature is constructed.

[0100] In a possible implementation, the method further includes:

[0101] Based on the heat load data and numerical simulation model, a real-time calculation model of the second edge gas temperature based on heat load was constructed using the slag crust heat balance theoretical formula.

[0102] In a possible implementation, the method further includes:

[0103] A linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, as well as the distance difference between the tuyere and the cooler;

[0104] A real-time calculation model for the third edge gas temperature based on the theoretical combustion temperature and the furnace top gas temperature is constructed based on a linear formula.

[0105] In one possible implementation, based on the edge gas temperature real-time calculation model and operating condition data, the variation index and the conflict index are determined, including:

[0106] Determining historical gas temperature data based on the first edge gas temperature real-time calculation model, the second edge gas temperature real-time calculation model, the third edge gas temperature real-time calculation model, and the operating condition data;

[0107] The variation index and conflict index are determined based on the historical data of gas temperature.

[0108] The embodiments of this specification provide a method and device for determining the edge gas temperature in a high heat load zone of a blast furnace, wherein the device for determining the edge gas temperature in a high heat load zone of a blast furnace comprises: obtaining design furnace data, physical performance parameters, and operating condition data; determining a numerical simulation model based on the design furnace data and physical performance parameters; determining an offline simulation data set based on the numerical simulation model, and determining a real-time calculation model for the edge gas temperature based on the offline simulation data set; determining a variation index and a conflict index based on the real-time calculation model for the edge gas temperature and the operating condition data; constructing an edge gas temperature integration model based on the variation index and the conflict index, and determining the edge gas temperature based on the edge gas temperature integration model. By taking actual blast furnace data as a basis, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion capability is strong, which can effectively assist operators in controlling the blast furnace and ensure the stable and smooth operation of the blast furnace.

[0109] The above is a schematic diagram of a device for determining the edge gas temperature of a blast furnace high heat load zone according to this embodiment. It should be noted that the technical solution of this device for determining the edge gas temperature of a blast furnace high heat load zone is based on the same concept as the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone described above. For details not described in detail in the technical solution of the device for determining the edge gas temperature of a blast furnace high heat load zone, please refer to the description of the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone described above.

[0110] Figure 4The block diagram of a computing device 400 according to one embodiment of the present disclosure is shown. Components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. The processor 420 is connected to the memory 410 via a bus 430, and a database 450 is used to store data.

[0111] Computing device 400 also includes an access device 440 that enables computing device 400 to communicate via one or more networks 460. Examples of such networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. Access device 440 may include one or more of any type of network interface (e.g., a network interface controller (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0112] In one embodiment of the present specification, the above components of the computing device 400 and Figure 4 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 4 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art may add or replace other components as needed.

[0113] Computing device 400 can be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, personal digital assistant, laptop computer, notebook computer, netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or personal computer (PC). Computing device 400 can also be a mobile or stationary server.

[0114] The processor 420 is configured to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the method for determining the edge gas temperature of a blast furnace high heat load zone. The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone are based on the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone.

[0115] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned method for determining the edge gas temperature of a high heat load zone of a blast furnace.

[0116] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone described above. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone described above.

[0117] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is instructed to execute the steps of the above-mentioned method for determining the edge gas temperature of the high heat load zone of the blast furnace.

[0118] The above is a schematic diagram of a computer program according to this embodiment. It should be noted that the technical solution of this computer program is based on the same concept as the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone described above. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the method for determining the edge gas temperature of a blast furnace high heat load zone described above.

[0119] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0120] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium may be appropriately increased or decreased based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0121] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0122] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0123] The preferred embodiments disclosed above are intended only to help illustrate this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A method for determining the edge gas temperature of a blast furnace high heat load zone, characterized in that: include: Obtain design furnace data, physical performance parameters and operating condition data; Determining a numerical simulation model based on the designed furnace data and physical performance parameters; Determining an offline simulation data set based on the numerical simulation model, and determining an edge gas temperature real-time calculation model based on the offline simulation data set; Determining a variation index and a conflict index based on the edge gas temperature real-time calculation model and the operating condition data; constructing an edge gas temperature integration model based on the variation index and the conflict index, and determining the edge gas temperature based on the edge gas temperature integration model; The designed furnace type data includes a blast furnace structure diagram and a three-dimensional dimension diagram; The physical performance parameters include mass density, thermal conductivity and specific heat capacity; The operating condition data includes cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature; Determining a real-time calculation model for edge gas temperature based on the offline simulation data set includes: Based on the working condition data and thermocouple temperature in the offline simulation data set as input parameters and the edge gas temperature as output data, a first edge gas temperature real-time calculation model based on the thermocouple temperature is constructed; Also includes: Based on the heat load data and numerical simulation model, a real-time calculation model for the second edge gas temperature based on heat load is constructed using the slag crust heat balance theoretical formula. The second edge gas temperature real-time calculation model includes: Where Q represents the heat load of the cooler; G2 represents the gas temperature; T C represents the convection heat transfer coefficient between slag skin and coal gas; S1 represents the area of ​​slag layer in the three-dimensional numerical simulation model of cooling plate slag hanging; It represents the percentage of heat exchanged by slag crust carried away by cooling water according to field experience; T G Represents the slag temperature of the slag skin; Also includes: A linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, as well as the distance difference between the tuyere and the cooler; Constructing a real-time calculation model for the third edge gas temperature based on the theoretical combustion temperature and the furnace top gas temperature based on the linear formula; The third edge gas temperature real-time calculation model includes: Among them, G3 represents the gas temperature; T L represents the theoretical combustion temperature; T D represents the furnace top temperature, i represents the angle of furnace top gas temperature monitoring; L represents the distance from the furnace top to the tuyere; Represents the distance from the cooler to the air outlet.

2. The method according to claim 1, characterized in that Determining an offline simulation data set based on the numerical simulation model includes: Determine gas temperature and operating conditions; Determining thermocouple temperature simulation data based on the numerical simulation model, the gas temperature, and the operating conditions; An offline simulation data set is determined based on the thermocouple temperature simulation data.

3. The method according to claim 1, characterized in that Determining a variation index and a conflict index based on the edge gas temperature real-time calculation model and the operating condition data includes: determining gas temperature history data based on the first edge gas temperature real-time calculation model, the second edge gas temperature real-time calculation model, the third edge gas temperature real-time calculation model, and the operating condition data; A variation index and a conflict index are determined based on the gas temperature historical data.

4. A device for determining the edge gas temperature of a high heat load zone of a blast furnace, used to implement the steps of the method for determining the edge gas temperature of a high heat load zone of a blast furnace according to any one of claims 1 to 3, characterized in that: include: A data acquisition module is configured to acquire design furnace data, physical performance parameters and operating condition data; A numerical simulation module is configured to determine a numerical simulation model based on the designed furnace data and physical performance parameters; a calculation model module configured to determine an offline simulation data set based on the numerical simulation model, and determine a real-time calculation model for edge gas temperature based on the offline simulation data set; an index determination module configured to determine a variation index and a conflict index based on the edge gas temperature real-time calculation model and the operating condition data; The temperature determination module is configured to construct an edge gas temperature integration model based on the variation index and the conflict index, and determine the edge gas temperature based on the edge gas temperature integration model.

5. A computing device, characterized in that The steps for implementing the method for determining the edge gas temperature of a blast furnace high heat load zone according to any one of claims 1 to 3 include: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for determining the edge gas temperature of the high heat load zone of the blast furnace as described in any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for determining the edge gas temperature of a high heat load zone of a blast furnace as described in any one of claims 1 to 3.

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