Method for identifying and processing temperature abnormity of gas at upper part of blast furnace

Abstract

The invention discloses a method for identifying and processing temperature abnormity of gas at the upper part of a blast furnace, which relates to the technical field of blast furnace ironmaking and comprises the following steps: reading historical data and real-time current data of blast furnace air volume, stock line and temperature of each riser at the top of the furnace; based on the blast furnace air volume, screening out the blast furnace air volume when the furnace condition is normal and historical data of the temperature of each riser on the stockline and the furnace top; calculating and comparing an average value, a change rate and a range value of each ascending pipe temperature of the furnace top according to the blast furnace air volume, the stockline and the historical data of each ascending pipe temperature of the furnace top when the furnace condition is normal so as to judge the abnormal condition of the current blast furnace upper gas temperature; and giving a treatment suggestion according to the judged abnormal condition of the upper gas temperature of the blast furnace. The method can timely and accurately judge the temperature abnormity of the gas flow at the upper part of the blast furnace, and provides regulation and control measures.

Description

Technical Field

[0001] The present invention relates to the technical field of blast furnace ironmaking, and in particular to a method for judging the abnormality of the upper gas temperature of the blast furnace and its abnormality level by calculating the average value, change rate and range of the temperatures of multiple riser tubes of the blast furnace, and proposing a blast furnace control method based on the judged abnormality level. Background Art

[0002] With the continuous advancement of technology, modern large-scale blast furnaces have achieved a high level of mechanization and automation. However, the complex physical changes and chemical reactions within blast furnaces are difficult to directly measure. Moreover, blast furnaces are large, closed reactors with high temperatures and high pressures. Blast furnace operation still relies primarily on manual experience. Scientifically analyzing important test data and identifying abnormalities in blast furnace smelting conditions are crucial for guiding blast furnace production operations.

[0003] To achieve stable and smooth operation, a blast furnace requires timely adjustments based on changes in its operating status. The state of the blast furnace gas flow is closely related to the chemical reactions and thermal conditions within the furnace, making regulating the gas flow state a crucial aspect of blast furnace operation. During blast furnace operation, emphasis is placed on ensuring the proper and uniform distribution of gas flow composition and temperature. This is typically achieved through observation and assessment of the gas flow distribution in the upper section using data from monitoring instruments. Numerous monitoring data can be used to assess the gas flow distribution in a blast furnace, including cross-sectional temperature measurement data, furnace top infrared imaging, furnace body heat load, cooling water temperature difference, temperature at the throat steel brick temperature measurement point, furnace wall cooling stave temperature, top gas composition, top riser temperature, and furnace body static pressure. Some steel mills have also developed models based on this data to assess gas flow status. For example, Baosteel has independently developed a "Blast Furnace Intelligent Expert System," which, based on system-defined rules, determines and analyzes gas flow, providing timely alarms and adjustment recommendations.

[0004] Among the aforementioned monitoring data, analyzing and determining the upper gas temperature status based on cross-shaped temperature measurement data is the most commonly used and important method. For example, patent application number 200710012215.5, "Intelligent System for Blast Furnace Production Process Control Information," uses a calculation method based on cooling water flow and inlet temperature to compensate cross-shaped temperature measurement data to identify the radial distribution of gas flow. In their 2014 article "Analysis of a Method for Determining Gas Flow Distribution in the Throat of Qiangang Blast Furnace," Xie Ningqiang et al., published in Ironmaking, used cross-shaped temperature measurement and furnace static pressure to determine the gas flow distribution in real time.

[0005] However, due to the consideration that the cross temperature measuring device may affect the chute distribution, many blast furnaces do not have a cross temperature measuring device installed on the top of the furnace, which brings inconvenience to the judgment of the gas flow distribution. How to timely and accurately identify the gas temperature status of the upper part of the blast furnace in the absence of cross temperature measurement is a very concerned issue in the production of such blast furnaces. The infrared imaging of the furnace top is greatly affected by the dust on the furnace top and the rotating distribution chute. The heat load of the furnace body, the temperature difference of the cooling water, the temperature of the temperature measuring point of the furnace throat steel brick, the temperature of the furnace wall cooling stave, and the static pressure of the furnace body can only reflect the strength of the edge airflow. The composition of the gas at the top of the furnace is only an auxiliary reference data. When the blast furnace charge drops abnormally or the gas flow distribution is unbalanced, the overall or local gas flow will be too strong, and the gas temperature at the top of the furnace will be abnormal. Therefore, the temperature data of the riser at the top of the furnace is particularly important. Of course, the riser temperature is affected by the depth of the charge line, so the riser temperature at different charge line depths must be considered.

[0006] Currently, blast furnace operators usually judge the gas flow status in the upper part of the blast furnace based on their own experience by observing relevant data. This method is greatly affected by human factors and is not conducive to the high efficiency and stability of the blast furnace. Some researchers have also proposed corresponding methods. For example, Xie Hao et al. published an article in "Ironmaking" titled "Evaluation and Influencing Factors of Blast Furnace Gas Flow Distribution" and proposed using indicators such as furnace wall temperature, heat load, gas utilization rate, and permeability to judge gas flow distribution. Among them, furnace wall temperature and heat load mainly reflect the edge gas flow pattern, while gas utilization rate and permeability jointly reflect the changes in the overall gas flow in the furnace. This method can reflect the changes in gas flow over a long period of time, but furnace wall temperature and heat load are mainly related to the edge gas flow intensity, rather than the overall gas distribution. Moreover, this method does not accurately reflect the fluctuations in gas flow changes in a short period of time, making it difficult to provide timely guidance for operators to adjust furnace conditions. Furthermore, patent application number 201010269649.5, "Device and Method for Measuring Blast Furnace Throat Gas Temperature Field," discloses a device and method for non-contact measurement of blast furnace throat gas temperature, used to reflect throat gas flow distribution. However, this requires the addition of monitoring equipment to the already complex upper portion of the blast furnace, making it difficult to maintain. Furthermore, these studies primarily analyze the strength of the central and peripheral airflows to guide charge distribution, lacking research on methods for identifying and addressing abnormal blast furnace gas temperatures.

[0007] Therefore, it is necessary to provide a simple method that can timely and accurately judge the abnormal temperature of the gas flow in the upper part of the blast furnace, and propose control measures to help the blast furnace restore its condition. Summary of the Invention

[0008] The embodiment of the present invention provides a method for identifying and processing abnormal gas temperature in the upper part of a blast furnace, which can timely and accurately determine the abnormal gas flow temperature in the upper part of the blast furnace, and propose control measures to help the blast furnace recover its condition.

[0009] The present invention provides a method for identifying and processing abnormal gas temperature in the upper part of a blast furnace, comprising:

[0010] Read the historical and real-time data of blast furnace air volume, material line and temperature of each riser on the furnace top;

[0011] Based on the blast furnace air volume, historical data of the blast furnace air volume, material line and each riser temperature at the furnace top when the furnace condition is normal are selected;

[0012] Based on the historical data of blast furnace air volume, material line and each riser temperature at the furnace top when the furnace is in normal condition, the average value, rate of change and range of each riser temperature at the furnace top are calculated and compared to determine the abnormality of the current gas temperature at the top of the blast furnace;

[0013] Provide treatment suggestions based on the abnormal conditions of the gas temperature in the upper part of the blast furnace.

[0014] In some examples, for the material line data, if there is no data for the material line at a certain time point, the material line takes the data closest to the time point as the data for this time point.

[0015] In some examples, the historical data of blast furnace air volume, material line and each riser temperature of the furnace top when the furnace condition is normal is screened out based on the blast furnace air volume, including:

[0016] Remove the blast furnace air volume that is less than the preset air volume;

[0017] The retained historical data of blast furnace air volume, material line and furnace top temperature of each riser are used as sample data.

[0018] In some examples, the calculating and comparing the average temperature of each riser tube at the furnace top based on the historical data of the blast furnace air volume, the material line, and the temperature of each riser tube at the furnace top when the furnace is in normal condition includes:

[0019] For each riser, the current data of the material line is L, and the average value of the current temperature of each riser on the furnace top is T1. The time points of the material line data between Lm and L+m in the sample data are retrieved, and the average value T0 of the temperature of the furnace top riser at these time points in the sample data is calculated. The temperature difference T2 is obtained by subtracting the calculated T0 from the average value of the current temperature of the furnace top riser, that is, T2=T1-T0, and m is the first preset value.

[0020] In some examples, the calculation and comparison of the change rate of each riser tube temperature at the furnace top based on historical data of the blast furnace air volume, the material line, and the temperature of each riser tube at the furnace top when the furnace is in normal condition includes:

[0021] Calculate the rate of change of the average temperature of each riser at each time point in the sample data, where the rate of change of the average temperature of the riser at a certain time point is calculated by subtracting the average temperature of the riser at the previous time point from the average temperature of the riser at that time point;

[0022] Sort the calculated change rates from large to small, and take the change rate data K0 at p% from the front to the back, where p is the second preset value;

[0023] Calculate the change rate of the average temperature of the riser at each time point several minutes before the current time to obtain the change rate of the average temperature of the riser at q time points;

[0024] Assume that the initial value of integer M is 0, and use K1 to Kq to judge in turn. If Kn≤0, n is 1 to q, then the value of M is reduced by 1. If Kn≥K0, then the value of M is increased by 1.

[0025] In some examples, the calculation and comparison of the extreme value of the temperature of each riser tube at the furnace top based on the historical data of the blast furnace air volume, the material line, and the temperature of each riser tube at the furnace top when the furnace is in normal condition includes:

[0026] For each riser, calculate the range of the riser temperature at each time point in the sample data, where the range of the riser temperature at a certain time point is calculated by subtracting the minimum riser temperature at that time point from the maximum riser temperature at that time point;

[0027] Sort the calculated ranges from large to small, take the rate of change data D0 at d% from the front to the back, and calculate the range D of the current riser temperature.

[0028] In some examples, determining whether the current blast furnace upper gas temperature is abnormal includes:

[0029] If one or more of the following conditions are met: T2 ≥ first preset temperature, second preset temperature ≤ T2 < first preset temperature, M ≥ first preset M value, and D ≥ D0, the blast furnace upper gas temperature is judged to be seriously abnormal:

[0030] If one or more of the following conditions are met: the second preset temperature ≤ T2 < the first preset temperature, the third preset temperature ≤ T2 < the second preset temperature, M ≥ the preset M value, and D ≥ δ×D0, then the blast furnace upper gas temperature is judged to be generally abnormal;

[0031] The first preset temperature, the second preset temperature and the third preset temperature decrease in sequence, and δ is a coefficient.

[0032] In some examples, providing treatment suggestions based on the abnormality of the upper gas temperature of the blast furnace includes:

[0033] If the gas temperature in the upper part of the blast furnace is seriously abnormal, the air flow is reduced by a first preset ratio;

[0034] If the gas temperature in the upper part of the blast furnace is generally abnormal, the air flow is reduced by a second preset ratio, and the first preset ratio is greater than the second preset ratio.

[0035] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0036] The present invention provides a method for determining and handling abnormal gas flow temperature in the upper portion of a blast furnace. This method uses data such as the average value, rate of change, and range of the blast furnace's riser temperature to determine the presence and severity of the abnormal gas temperature. Based on the determined abnormality level, a blast furnace control method is proposed to guide blast furnace operation. This method provides timely and accurate calculations, reduces human interference, and requires no additional testing equipment. It only requires simple software for real-time calculation and determination, thus improving blast furnace operation and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 The present invention provides a flow chart of a method for identifying and handling abnormal gas temperature in a blast furnace. DETAILED DESCRIPTION

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0040] In the following description, specific embodiments of the present invention will be described with reference to steps and symbols performed by one or more computers, unless otherwise specified. Therefore, these steps and operations will be mentioned several times as being performed by a computer, and computer execution as referred to herein includes operations by a computer processing unit that represents electronic signals of data in a structured form. This operation converts the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise change the operation of the computer in a manner familiar to testers in the field. The data structure in which the data is maintained is a physical location in the memory, which has specific characteristics defined by the data format. However, the principles of the present invention are described in the above text, which does not represent a limitation, and testers in the field will understand that the various steps and operations below can also be implemented in hardware.

[0041] As used herein, the terms "module" or "unit" may be considered software objects executed on the computing system. The various components, modules, engines, and services herein may be considered implementation objects on the computing system. While the devices and methods herein are preferably implemented in software, they may also be implemented in hardware and remain within the scope of protection of the present invention.

[0042] It will be understood by those skilled in the art that, unless expressly stated otherwise, the singular forms "a", "an", and "the" used herein may also include the plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, "connected" or "coupled" as used herein may include wireless connections or wireless couplings. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0043] like Figure 1 The figure is a flow chart of a method for identifying and processing abnormal gas temperature in a blast furnace provided by an embodiment of the present invention. Figure 1 The method shown includes the following steps:

[0044] S1: Read the historical data and real-time current data of blast furnace air volume, material line and temperature of each riser on the furnace top;

[0045] S2: Based on the blast furnace air volume, filter out the historical data of the blast furnace air volume, material line and each riser temperature of the furnace top when the furnace condition is normal;

[0046] S3: Based on the historical data of the blast furnace air volume, material line and each riser temperature at the furnace top when the furnace is in normal condition, calculate and compare the average value, rate of change and range of each riser temperature at the furnace top to determine the abnormality of the current blast furnace upper gas temperature;

[0047] S4: Provide treatment suggestions based on the abnormal conditions of the gas temperature in the upper part of the blast furnace.

[0048] In the data collected in step S1, the historical data and real-time current data of the blast furnace air volume, material line, and temperature of each riser on the furnace top are read. A blast furnace generally has four risers, i.e., there are temperature data of four risers. The material line data is supplemented. The material line data is discontinuous, but the material line data changes slowly. Therefore, if there is no data for the material line at a certain point in time, the material line takes the most recent data forward in time as the data at this point in time. The data time frequency is 5 seconds. The historical data cycle is 1 year.

[0049] In the historical data filtered and read in step S2, the air volume data is sorted from smallest to largest. Considering that blast furnaces experience significant air volume reductions during maintenance or abnormal conditions, and that the annual rate of maintenance or abnormal conditions is typically less than 3%, the data from the top 3% of the time points for air volume are removed, and the remaining data is filtered out as sample data. For individual blast furnaces with extended maintenance or abnormal conditions, the above percentage can be increased to no less than the percentage of time spent under maintenance or abnormal conditions in the most recent year.

[0050] In the data calculation of step S3: (1) read the current data, where the material line data is L, and the average value of the current temperature of each riser on the furnace top is T1 (for example, a blast furnace has 4 riser temperature monitoring points, and the average temperature refers to the average value of these 4 temperatures). Retrieve the time points between L-0.1 and L+0.1 of the material line data in the sample, calculate the average value T0 of the furnace top riser temperature at these time points in the sample, and subtract the calculated T0 from the average value of the current furnace top riser temperature to obtain the temperature difference T2, that is, T2=T1-T0. (2) Calculate the change rate of the average value of the riser temperature at each time point of the sample data. The change rate of the average value of the riser temperature at a certain time point is calculated by subtracting the average value of the riser temperature at the previous time point from the average value of the riser temperature at that time point. Sort the calculated change rates from large to small, and take the change rate data K0 at 3% from the front to the back for subsequent judgment. Calculate the rate of change of the average value of the riser temperature at each time point within 1 minute from the current time. Since the time frequency is 5 seconds, the rate of change of the average value of the riser temperature at 12 time points is calculated, which are 12 values ​​from K1 to K12. Assume that the initial value of the integer M is 0, and use the 12 values ​​from K1 to K12 to judge in turn. If Kn (n is 1 to 12) ≤ 0, then the value of M is reduced by 1, and if Kn ≥ K0, then the value of M is increased by 1. (3) Calculate the range of each riser temperature at each time in the sample data. The range of each riser temperature at a certain time point is calculated by subtracting the minimum value of each riser temperature at that time point from the maximum value of each riser temperature at that time point. Sort the calculated ranges from large to small, and take the rate of change data D0 at 1% from the front to the back for subsequent judgment, and calculate the range D of the current riser temperature.

[0051] In step S3, the abnormality determination is performed to determine whether the current upper blast furnace gas temperature is "severely abnormal." If one or more of the following three conditions occur, the upper blast furnace gas temperature is determined to be "severely abnormal." (1) T2 calculated in step 3 ≥ 150°C. (2) 100°C ≤ T2 < 150°C and M calculated in step 3 ≥ 4. (3) D calculated in step 3 ≥ D0.

[0052] Determine whether the current blast furnace upper gas temperature is "generally abnormal". If the fourth step has been judged as "serious abnormality", skip the fifth step. If one or more of the following three situations occur, the blast furnace upper gas temperature is judged to be "generally abnormal". (1) The value of T2 calculated in the third step is 100℃≤T2<150℃. (2) 50℃≤T2<100℃ and M calculated in the third step is ≥4. (3) D calculated in the third step is ≥0.5×D0.

[0053] In step S4, the automatic determination and proposed treatment recommendations are implemented by connecting computer programming to the data stored in the database to perform the aforementioned calculation process, and data reading, calculation, and determination are updated in real time every 5 seconds. A "Severe Abnormal" upper furnace gas temperature indicates poor gas flow and a risk of burning upper equipment. A "Moderate Abnormal" upper furnace gas temperature indicates relatively poor gas flow and a tendency to worsen. If the upper furnace gas temperature is "Severely Abnormal," the airflow needs to be reduced promptly, with a recommended reduction of 2% to 3% of the current airflow. If the upper furnace gas temperature is "Moderately Abnormal," the airflow needs to be reduced promptly, with a recommended reduction of 1% to 2% of the current airflow. Generally, reducing the airflow will gradually restore the upper furnace gas temperature to normal. Once restored, the airflow should be gradually increased to normal. If "Severe Abnormal" or "Moderate Abnormal" levels occur frequently, or if reducing the airflow fails to restore the upper furnace gas temperature to normal, the blast furnace charge distribution system should be adjusted based on the charge flow status.

[0054] In the embodiments of the present invention, the specific numerical values ​​given should not be understood as the only limitation to the present invention, and other numerical values ​​may be used according to actual conditions.

[0055] Example: Using the method provided by the present invention to judge and process a 3000m 3 To check the abnormal gas temperature in the upper part of the blast furnace, follow the steps below:

[0056] Step 1: Collect data from the blast furnace database, including historical and real-time data on air volume, material line, and temperature of four furnace top risers; supplement the material line data. The material line data is discontinuous, but the material line data changes slowly. Therefore, if there is no data for the material line at a certain point in time, the material line takes the most recent data along the timeline as the data at this time point; the data time frequency is 5 seconds; the historical data is data for the past year. For example, if the current time is 10:07:50 on April 28, 2025, the historical data time period read is from April 28, 2024 to the current time.

[0057] Step 2: Filter the historical data read in step 1. Sort the air volume data from smallest to largest. Since the blast furnace was under maintenance or had abnormal conditions for approximately 1.94% of the time in the past year, the data for the top 3% of the air volume ranking is removed. The remaining data is used as sample data.

[0058] Step 3: Perform data calculations. (1) Read the current data, where the material line data is calculated based on the average data of the two probes. The material line L is 1.28 meters, and the average temperature of the riser T1 is 254.21°C. Retrieve the time points between 1.18 meters and 1.38 meters in the sample. Calculate the average value T0 of the furnace top riser temperature at these time points in the sample to be 156.31°C. Subtract the calculated T0 from the average value of the current furnace top riser temperature to obtain a temperature difference T2 of 97.90°C. (2) Calculate the rate of change of the average value of the riser temperature at each time point in the sample data. The rate of change of the average value of the riser temperature at a certain time point is calculated by subtracting the average value of the riser temperature at the previous time point from the average value of the riser temperature at that time point. Sort the calculated rates of change from large to small, and take the rate of change data K0 at 3% from the front to the back as 8.35°C (i.e., 8.35°C rise in 5 seconds). Calculate the rate of change of the average riser temperature at each time point within one minute from the current time. Because the time frequency is 5 seconds, the rate of change of the average riser temperature at 12 time points is calculated, resulting in 12 values, as shown in Table 1. Assume that the integer M is initially 0. Use K1 through K12 to evaluate these 12 values ​​in sequence. If Kn (n is 1 to 12) ≤ 0, then decrement M by 1. If Kn ≥ K0 (i.e., 8.35°C), then increment M by 1. As shown in Table 1, the current value of M is 4. (3) Calculate the range of the temperature of each riser at each time in the sample data. The range of the temperature of each riser at a certain time point is calculated by subtracting the minimum temperature of each riser at that time point from the maximum temperature of each riser at that time point. Sort the calculated ranges from large to small. Take the rate of change data D0 at 1% from the front to the back as 37.51°C. The current four riser temperatures are 248.85°C, 260.45°C, 257.47°C, and 250.08°C, respectively. The calculated range D of the current riser temperature is 260.45°C - 248.85°C = 11.60°C.

[0059] Table 1 Average temperature of rising pipe and its changing rate in the past minute

[0060] time Average temperature / ℃ Average temperature change / ℃ M value 10:07:55 176.63 4.28 0 10:07:00 181.13 4.5 0 10:07:05 185.76 4.63 0 10:07:10 190.17 4.41 0 10:07:15 195.04 4.87 0 10:07:20 200.35 5.31 0 10:07:25 206.51 6.16 0 10:07:30 214.22 7.71 0 10:07:35 222.88 8.66 1 10:07:40 231.69 8.81 2 10:07:45 242.53 10.84 3 10:07:50 254.21 11.68 4

[0061] Step 4: Determine whether the current upper gas temperature of the blast furnace is "severely abnormal". If one or more of the following three situations occur, the upper gas temperature of the blast furnace is judged to be "severely abnormal". (1) T2 calculated in step 3 ≥ 150℃. (2) 100℃ ≤ T2 < 150℃ and M calculated in step 3 ≥ 4. (3) D calculated in step 3 ≥ D0. T2 calculated in step 3 is 97.90℃, D0 is 37.51℃, and D is 11.60℃. Therefore, none of the three situations are met, and it is judged that the current upper gas temperature is not "severely abnormal".

[0062] Step 5: Determine whether the current blast furnace upper gas temperature is "general abnormality". The previous step did not determine "serious abnormality", so continue to determine whether it is "general abnormality". If one or more of the following three situations occur, the blast furnace upper gas temperature is judged to be "general abnormality". (1) The value of T2 calculated in step 3 is 100℃≤T2<150℃. (2) 50℃≤T2<100℃ and M calculated in step 3 is ≥4. (3) D calculated in step 3 is ≥0.5×D0. T2 calculated in step 3 is 97.90℃, M is 4, D0 is 37.51℃, and D is 11.60℃. The second situation is met, so the current blast furnace upper gas temperature is judged to be "general abnormality".

[0063] Step 6: Implement the calculations in the above steps through computer programming, connect with the blast furnace database, and add real-time update function. According to the above calculations, the current gas temperature in the upper part of the blast furnace is "generally abnormal", and the air volume is reduced in time. The normal air volume of this blast furnace is about 5500m 3 / min, the air volume is reduced to 1% to 2% of the current air volume, i.e. 55m 3 / min to 110m 3 / min, at this time, select 100m for wind reduction 3 / min, and after the gas temperature in the upper part of the blast furnace returns to normal, the air volume will be gradually increased to the normal air volume. There is no abnormality in the gas temperature in the upper part of the blast furnace, and this is the only abnormality in the gas temperature in the upper part of the blast furnace in the past three days, so there is no need to take other control measures for the time being.

[0064] The above is a detailed introduction to a method for identifying and handling abnormal gas temperature in the upper part of a blast furnace provided by an embodiment of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for identifying and treating abnormal gas temperature in the upper part of a blast furnace, characterized in that: include: Read the historical and real-time data of blast furnace air volume, material line and temperature of each riser on the furnace top; Based on the blast furnace air volume, historical data of the blast furnace air volume, material line and each riser temperature at the furnace top when the furnace condition is normal are selected; Based on the historical data of blast furnace air volume, material line and each riser temperature at the furnace top when the furnace is in normal condition, the average value, rate of change and range of each riser temperature at the furnace top are calculated and compared to determine the abnormality of the current gas temperature at the top of the blast furnace; Provide treatment suggestions based on the abnormal conditions of the gas temperature in the upper part of the blast furnace.

2. The method according to claim 1, characterized in that For the material line data, if there is no data for the material line at a certain time point, the material line takes the data closest to that time point as the data for this time point.

3. The method according to claim 1 or 2, characterized in that The historical data of the blast furnace air volume, the material line and each riser temperature of the furnace top when the furnace condition is normal are screened out based on the blast furnace air volume, including: Remove the blast furnace air volume that is less than the preset air volume; The retained historical data of blast furnace air volume, material line and furnace top temperature of each riser are used as sample data.

4. The method according to claim 3, characterized in that The calculation and comparison of the average temperature of each riser tube on the furnace top based on the historical data of the blast furnace air volume, the material line and the temperature of each riser tube on the furnace top when the furnace condition is normal include: For each riser, the current data of the material line is L, and the average value of the current temperature of each riser on the furnace top is T1. The time points of the material line data between Lm and L+m in the sample data are retrieved, and the average value T0 of the temperature of the furnace top riser at these time points in the sample data is calculated. The temperature difference T2 is obtained by subtracting the calculated T0 from the average value of the current temperature of the furnace top riser, that is, T2=T1-T0, and m is the first preset value.

5. The method according to claim 4, characterized in that The calculation and comparison of the change rate of each riser temperature on the top of the furnace based on the historical data of the blast furnace air volume, the material line and the temperature of each riser on the top of the furnace when the furnace condition is normal include: Calculate the rate of change of the average temperature of each riser at each time point in the sample data, where the rate of change of the average temperature of the riser at a certain time point is calculated by subtracting the average temperature of the riser at the previous time point from the average temperature of the riser at that time point; Sort the calculated change rates from large to small, and take the change rate data K0 at p% from the front to the back, where p is the second preset value; Calculate the change rate of the average temperature of the riser at each time point several minutes before the current time to obtain the change rate of the average temperature of the riser at q time points; Assume that the initial value of integer M is 0, and use K1 to Kq to judge in turn. If Kn≤0, n is 1 to q, then the value of M is reduced by 1. If Kn≥K0, then the value of M is increased by 1.

6. The method according to claim 5, characterized in that The calculation and comparison of the extreme difference of the temperature of each riser tube on the furnace top based on the historical data of the blast furnace air volume, the material line and the temperature of each riser tube on the furnace top when the furnace condition is normal include: For each riser, calculate the range of the riser temperature at each time point in the sample data, where the range of the riser temperature at a certain time point is calculated by subtracting the minimum riser temperature at that time point from the maximum riser temperature at that time point; Sort the calculated ranges from large to small, take the rate of change data D0 at d% from the front to the back, and calculate the range D of the current riser temperature.

7. The method according to claim 6, characterized in that The determination of the abnormality of the current blast furnace upper gas temperature includes: If one or more of the following conditions are met: T2 ≥ first preset temperature, second preset temperature ≤ T2 < first preset temperature, M ≥ first preset M value, and D ≥ D0, the blast furnace upper gas temperature is judged to be seriously abnormal: If one or more of the following conditions are met: the second preset temperature ≤ T2 < the first preset temperature, the third preset temperature ≤ T2 < the second preset temperature, M ≥ the preset M value, and D ≥ δ×D0, then the blast furnace upper gas temperature is judged to be generally abnormal; The first preset temperature, the second preset temperature and the third preset temperature decrease in sequence, and δ is a coefficient.

8. The method according to claim 7, characterized in that The treatment suggestions provided based on the abnormal conditions of the upper gas temperature of the blast furnace include: If the gas temperature in the upper part of the blast furnace is seriously abnormal, the air flow is reduced by a first preset ratio; If the gas temperature in the upper part of the blast furnace is generally abnormal, the air flow is reduced by a second preset ratio, and the first preset ratio is greater than the second preset ratio.

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