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

Abstract

The embodiment of the invention provides a method and device for determining the edge gas temperature of a high heat load area of a blast furnace. The method for determining the edge gas temperature of the high heat load area of the blast furnace comprises the steps that design furnace profile data, physical performance parameters and working condition data are obtained; determining a numerical simulation model based on the designed furnace profile data and the physical performance parameters; determining an off-line simulation data set based on the numerical simulation model, and determining an edge gas temperature real-time calculation model based on the off-line simulation data set; determining a variation index and a conflict index based on the edge gas temperature real-time calculation model and the working condition data; and 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. On the basis of actual blast furnace data, the calculation process is closely combined with the site, the calculation result is accurate, the calculation efficiency is high, the popularization capacity is high, operators can be effectively assisted in controlling the blast furnace, and stable and smooth operation of the blast furnace is guaranteed.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of blast furnace technology, 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 one of the important indicators for the normal operation of a blast furnace. Especially in the high heat load area, the gas temperature directly affects the combustion process of the blast furnace, the ore reduction reaction, and the fluidity and distribution of the charge. At the same time, the gas temperature in the high heat load area is also a direct factor in controlling the reasonable distribution of the operating furnace type. Frequent fluctuations in gas temperature cause the slag skin to fall off easily, resulting in a decrease in the furnace heat level and inactivity of the furnace. However, the gas temperature in the high heat load area is a "black box" parameter that cannot be directly monitored. The blast furnace site cannot obtain the changing trend of the gas temperature in real time, resulting in a lag in the blast furnace adjustment measures and difficulty in managing the furnace condition.

[0003] There are three main methods for monitoring the edge gas temperature in the high heat load zone of the blast furnace: the first is to indirectly infer the gas temperature range based on data such as water temperature difference and heat load. Experts are highly subjective, and the results cannot be quantified and characterized, resulting in large estimation errors. The second is to perform linear calculations based on the blast furnace top temperature and the theoretical combustion temperature of the tuyere. The temperature gradient inside the blast furnace is variable, and this single calculation method is irrational and cannot be directly applied to calculate the edge gas temperature. The third is to use numerical simulation technology to infer the gas temperature, but this method takes a long time, has a slow response speed, and is difficult to guide on-site production in real time. Therefore, a better solution is urgently needed. Summary of the invention

[0004] In view of this, the embodiments of this specification provide a method for determining the edge gas temperature of a high heat load zone of a blast furnace. One or more embodiments of this specification also relate to a device for determining the edge gas temperature of a high heat load zone of a blast furnace, a computing device, a computer-readable storage medium and a computer program to solve the technical defects existing 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: Obtain design furnace data, physical performance parameters and operating condition data; Determine the numerical simulation model based on the designed furnace data and physical performance parameters; 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; Based on the real-time calculation model of edge gas temperature and operating data, the variation index and conflict index are determined; An edge gas temperature integration model is constructed based on the variation index and the conflict index, and the edge gas temperature is determined based on the edge gas temperature integration model.

[0006] In a possible implementation, the design furnace type 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; The operating data include cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature.

[0007] In a possible implementation, determining an offline simulation data set based on a numerical simulation model includes: Determine gas temperature and operating conditions; Determine thermocouple temperature simulation data based on numerical simulation model, gas temperature and operating conditions; An offline simulation data set is determined based on the thermocouple temperature simulation data.

[0008] In a possible implementation, determining a real-time calculation model for edge gas temperature based on an offline simulation data set includes: Based on the operating 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.

[0009] In a possible implementation, the method further includes: 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 is constructed through the slag skin heat balance theoretical formula.

[0010] In a possible implementation, the method further includes: A linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, and the distance difference between the tuyere and the cooler; 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.

[0011] In a 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: Determine 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; The variation index and conflict index are determined based on the historical data of gas temperature.

[0012] 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: 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 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; An index determination module 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; 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.

[0013] According to a third aspect of an embodiment of this specification, a computing device is provided, including: 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 are implemented.

[0014] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores 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.

[0015] 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.

[0016] 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 includes: obtaining design furnace data, physical performance parameters and operating 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 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 operating 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. Based on actual blast furnace data, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion ability 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

[0017] Figure 1It 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; Figure 2 It is a schematic diagram of a method for determining the edge gas temperature of a blast furnace high heat load zone provided by an embodiment of this specification; Figure 3 It is a structural 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 4 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0018] Many specific details are described in the following description to facilitate a full 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 connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0019] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" 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 other meanings. 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.

[0020] 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, this 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".

[0021] 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.

[0022] 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.

[0023] Step 101: Obtain design furnace data, physical performance parameters and operating condition data.

[0024] In one possible implementation, the design furnace 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; and the operating condition data includes cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature.

[0025] In practical applications, the design data of the high heat load area of ​​the blast furnace are collected, including the blast furnace structure diagram and three-dimensional dimension diagram. The physical performance data of the blast furnace body materials are collected, including the mass density, thermal conductivity, specific heat capacity and other physical performance parameters of the furnace shell, filling materials, coolers and refractory materials. Real-time collection of historical operating data includes cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature. In order to solve the data problems such as inconsistent frequency, missing values, and outliers in the historical operating data, the historical data of the sintering process are processed and integrated through up and down sampling, isolated forest recognition, nonlinear filling and other methods.

[0026] Step 102: Determine a numerical simulation model based on the designed furnace data and physical performance parameters.

[0027] In practical applications, a three-dimensional physical model of the cooler is designed based on the collected design furnace type and material performance data. A three-dimensional slag numerical simulation model of the cooler is constructed in the simulation software through methods such as grid division and boundary condition setting.

[0028] Step 103: 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.

[0029] In a 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.

[0030] 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.

[0031] Furthermore, the following takes a thermocouple position for monitoring the status of a cooler as an example to explain in detail the gas temperature calculation process at this thermocouple position.

[0032] In one possible implementation, a real-time calculation model for edge gas temperature is determined based on an offline simulation data set, including: taking operating condition data and thermocouple temperature in the offline simulation data set as input parameters, and taking edge gas temperature as output data, to construct a first real-time calculation model for edge gas temperature based on thermocouple temperature.

[0033] In practical applications, the working condition data and thermocouple temperature in the offline simulation data set are used as input parameters, and the gas temperature is used as output data. The influence of parameters is learned by supervised machine learning, and a real-time calculation model of gas temperature based on thermocouple temperature is constructed. The actual working condition data and thermocouple temperature data can be used to calculate the gas temperature at this thermocouple position in real time, and it is marked as G1.

[0034] In a possible implementation, the method further includes: based on the heat load data and the numerical simulation model, a second edge gas temperature real-time calculation model based on the heat load is constructed by using a slag skin heat balance theoretical formula.

[0035] In practical applications, based on heat load data, three-dimensional numerical simulation model of cooler slag hanging and expert experience, the slag skin heat balance theoretical formula is used to construct a real-time calculation model of gas temperature based on heat load. The actual heat load data can be used to calculate the gas temperature at this thermocouple position in real time, which is marked as G2. For a specific example, a cooler at a certain angle at a certain layer is taken as an example, as shown in formula (1):

[0036] Q represents the heat load of the cooler, J·H -1 ; G2 represents gas temperature, ℃; T C Represents the convection heat transfer coefficient between slag skin and 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 hanging, m 2 ; Represents the percentage of heat exchanged by slag skin taken away by cooling water based on field experience, %; T G Represents the slag temperature of the slag skin, ℃.

[0037] 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 tuyere and the cooler; and 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.

[0038] 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, and a real-time calculation model for gas temperature based on the theoretical combustion temperature and the furnace top gas temperature is constructed. The actual theoretical combustion temperature and the furnace top gas temperature can be used to calculate the gas temperature corresponding to the thermocouple position in real time, which is marked as G3. The calculation method for the specific example is shown in formula (2):

[0039] G3 represents the gas temperature; T L represents the theoretical combustion temperature, °C; T D represents the furnace top temperature, °C, 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.

[0040] Step 104: Determine a variation index and a conflict index based on the edge gas temperature real-time calculation model and operating condition data.

[0041] In one possible implementation, a variation index and a conflict index are determined based on an edge gas temperature real-time calculation model and operating condition data, including: determining gas temperature historical data based on a first edge gas temperature real-time calculation model, a second edge gas temperature real-time calculation model, a third edge gas temperature real-time calculation model and operating condition data; determining a variation index and a conflict index based on the gas temperature historical data.

[0042] In practical applications, three types of gas temperature history data are calculated based on the historical data of operating conditions within a fixed time period after processing. Their variation index and conflict index are calculated based on the historical data of gas temperature. The variation index represents the volatility of gas temperature data, which can be calculated using formulas (3) and (4) in the specific example:

[0043] in, represents the average gas temperature, j=1, 2, 3; n Represents the number of data; Represents the variation index of historical data of gas temperature, j=1, 2, 3.

[0044] The conflict index represents the similarity between different gas temperature data. In the specific example, it can be calculated using formula (5):

[0045] 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.

[0046] Step 105: 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.

[0047] 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, a real-time integrated calculation model for gas temperature is constructed, and the gas temperature in the high heat load area is output 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:

[0048] represents the weight of the gas temperature, j=1, 2, 3; G represents the gas temperature output by the integrated computer. With the continuous update of the historical data of the working conditions, the variation index and conflict index of the gas temperatures G1, G2, and G3 are updated in different time series, realizing the dynamic real-time calculation of the gas temperature G.

[0049] 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 includes: obtaining design furnace data, physical performance parameters and operating 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 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 operating 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. Based on actual blast furnace data, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion ability is strong, which can effectively assist operators in controlling the blast furnace and ensure the stable and smooth operation of the blast furnace.

[0050] Furthermore, the real-time calculation method of the edge gas temperature of the high heat load zone of the blast furnace in the embodiment of this specification is realized by combining simulation, machine learning, heat transfer theory and field experience. The model building process is closely linked to the site, the gas temperature value can be quantitatively represented, the calculation speed is fast, the data source is real, and the result is real-time. This calculation method is suitable for blast furnaces with various application coolers and has strong promotion. At the same time, there is no need to add monitoring equipment and no cost burden.

[0051] The edge gas temperature real-time calculation model based on thermocouple temperature in the embodiment of this specification combines a large amount of offline simulation data with machine learning to perform real-time calculation of gas temperature, completing the transformation from numerical simulation model to data-driven model. The data source is in line with reality, the model covers a wide range of working conditions, and the calculation results are highly real-time. At the same time, it provides a real-time solution for other parameters that are difficult to monitor.

[0052] 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 according to 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.

[0053] 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.

[0054] 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 FIG. 2 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 the present specification. Figure 3 As shown, the device comprises: The data acquisition module 301 is configured to acquire the designed furnace data, physical performance parameters and operating condition data; The numerical simulation module 302 is configured to determine a numerical simulation model based on the designed furnace data and physical performance parameters; 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; 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; 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.

[0055] In a possible implementation, the design furnace type 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; The operating data include cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature.

[0056] In a possible implementation, determining an offline simulation data set based on a numerical simulation model includes: Determine gas temperature and operating conditions; Determine thermocouple temperature simulation data based on numerical simulation model, gas temperature and operating conditions; An offline simulation data set is determined based on the thermocouple temperature simulation data.

[0057] In a possible implementation, determining a real-time calculation model for edge gas temperature based on an offline simulation data set includes: Based on the operating 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.

[0058] In a possible implementation, the method further includes: 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 is constructed through the slag skin heat balance theoretical formula.

[0059] In a possible implementation, the method further includes: A linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, and the distance difference between the tuyere and the cooler; 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.

[0060] In a 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: Determine 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; The variation index and conflict index are determined based on the historical data of gas temperature.

[0061] 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 device 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 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 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 operating 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. Based on actual blast furnace data, the calculation process is closely integrated with the site, the calculation results are accurate, the calculation efficiency is high, and the promotion ability is strong, which can effectively assist operators in controlling the blast furnace and ensure the stable and smooth operation of the blast furnace.

[0062] The above is a schematic scheme of a device for determining the edge gas temperature of a blast furnace high heat load zone in this embodiment. It should be noted that the technical scheme of the device for determining the edge gas temperature of a blast furnace high heat load zone and the technical scheme of the method for determining the edge gas temperature of a blast furnace high heat load zone belong to the same concept, and the details not described in detail in the technical scheme of the device for determining the edge gas temperature of a blast furnace high heat load zone can be referred to the description of the technical scheme of the method for determining the edge gas temperature of a blast furnace high heat load zone.

[0063] Figure 4 The block diagram of a computing device 400 according to one embodiment of the present specification is shown. The 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 the database 450 is used to store data.

[0064] The computing device 400 also includes an access device 440 that enables the computing device 400 to communicate via one or more networks 460. Examples of these 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. The access device 440 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0065] 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. It should be understood that Figure 4 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0066] The computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 400 may also be a mobile or stationary server.

[0067] The processor 420 is used 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 the high heat load zone of the blast furnace. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the method for determining the edge gas temperature of the high heat load zone of the blast furnace are of the same concept. For details not described in detail in the technical scheme of the computing device, please refer to the description of the technical scheme of the method for determining the edge gas temperature of the high heat load zone of the blast furnace.

[0068] An embodiment of the present specification also 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.

[0069] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the method for determining the edge gas temperature of the high heat load zone of the blast furnace described above belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the method for determining the edge gas temperature of the high heat load zone of the blast furnace described above.

[0070] An embodiment of the present specification also 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 a high heat load zone of a blast furnace.

[0071] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the method for determining the edge gas temperature of the high heat load zone of the blast furnace described above belong to the same concept, and the details not described in detail in the technical scheme of the computer program can be referred to the description of the technical scheme of the method for determining the edge gas temperature of the high heat load zone of the blast furnace described above.

[0072] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0073] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0074] It should be noted that, for the above-mentioned 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, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0075] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation methods described. Obviously, many modifications and changes can be made according to 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 technicians in the relevant technical field can well understand and use this specification. This specification is only limited 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; An edge gas temperature integration model is constructed based on the variation index and the conflict index, and the edge gas temperature is determined based on the edge gas temperature integration model.

2. The method according to claim 1, characterized in that: 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 include cooling water data, heat load data, thermocouple temperature, theoretical combustion temperature and furnace top gas temperature.

3. 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 coal gas temperature and the operating conditions; An offline simulation data set is determined based on the thermocouple temperature simulation data.

4. The method according to claim 1, characterized in that 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 the 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.

5. The method according to claim 4, characterized in that Also includes: 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 is constructed through the slag skin heat balance theoretical formula.

6. The method according to claim 5, characterized in that Also includes: A linear formula is constructed based on the temperature difference between the theoretical combustion temperature and the furnace top gas temperature, and the distance difference between the tuyere and the cooler; Based on the linear formula, 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.

7. The method according to claim 6, characterized in that Based on the edge gas temperature real-time calculation model and the operating condition data, determining a variation index and a conflict index includes: Determine 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.

8. A device for determining the edge gas temperature of a blast furnace high heat load zone, 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.

9. A computing device, characterized in that 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 7 are implemented.

10. 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 7.

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