Method, device and equipment for determining radiation heat transfer coefficient of hearth and medium

Abstract

The invention discloses a hearth radiation heat transfer coefficient determination method, device, equipment and medium, and the method comprises the steps that production data of a heating furnace and oxygen enrichment rate measured values of all heating sections of the heating furnace are obtained, and the production data comprise furnace body structure data and in-furnace fuel components; based on the production data of the heating furnace, a target calculation model is determined from a plurality of preset calculation models, and each calculation model comprises hearth radiation heat transfer coefficients corresponding to different oxygen enrichment rates in each heating section; and substituting the oxygen enrichment rate measured value of each heating section into the target calculation model, and determining the hearth radiation heat transfer coefficient of each heating section. According to the method, dynamic regulation and control of the hearth radiation heat transfer coefficient along with the oxygen enrichment rate are achieved, and accurate control over the slab temperature is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial furnaces, and particularly relates to a method, device, equipment and medium for determining the radiation heat transfer coefficient of a furnace chamber. Background Art

[0002] The early research and production practice of oxygen-enriched technology in industry have established a solid foundation for its large-scale production application in the metallurgical industry. Many steel rolling enterprises in Europe and the United States began oxygen-enriched combustion tests as early as the 1960s, and have gone through stages of general oxygen-enriched combustion, staged oxygen-enriched combustion, and flameless oxygen-enriched combustion. The flameless oxygen-enriched combustion technology is a new technology developed and applied based on the super-enthalpy combustion concept proposed by Weinberg in 1971, mainly to overcome problems such as uneven furnace temperature caused by a relatively high theoretical combustion temperature and easy generation of thermal NOx (thermal nitrogen oxides) brought by traditional oxygen-enriched combustion technology. Its main feature is to spray high-speed fuel and oxygen into the burner respectively. The mixed fuel and oxygen react uniformly when passing through the flame zone, and the reaction rate is controlled by controlling the local pressure and temperature of the reactants. Since the combustion reaction occurs in a very wide dispersion area (sometimes the entire combustion chamber) without an obvious flame front, the temperature distribution is uniform, avoiding local high or low temperature areas, and effectively suppressing the generation of thermal NOx. According to literature reports, since the industrial application of flameless oxygen-enriched combustion technology in steel rolling mills in 2003, more than 30 heating furnaces of many enterprises in Europe have implemented flameless oxygen-enriched combustion, achieving the goals of uniform combustion, low flame peak temperature, low emissions, high heating efficiency and energy saving, with a 30% - 40% reduction in fuel consumption and a 30% - 50% increase in output.

[0003] The application of oxygen-enriched combustion technology in China is very rare. Although some enterprises have actually used oxygen-enriched combustion technology in steel rolling heating furnaces before 2018, they have been discontinued at present. In recent years, in order to save energy and reduce emissions, the research and experimental applications of oxygen-enriched combustion have gradually increased. Many steel enterprises have carried out industrial applications and practices of oxygen-enriched combustion technology, achieving good energy-saving and production-increasing effects.

[0004] The heating furnace model is mainly responsible for the temperature simulation calculation of the slab in the heating furnace. According to the incoming furnace temperature of the slab, the position of the slab in the furnace and the furnace gas temperature calculated from the measured furnace chamber temperature, it retrieves the furnace chamber radiation heat transfer coefficient parameter and performs heat transfer calculation on each slab in the furnace. The furnace chamber radiation heat transfer coefficient is often a set of fixed parameters. However, the determination of the furnace chamber radiation heat transfer coefficient in the existing heating furnace model parameters is not accurate, resulting in deviation of the calculated temperature from the process accuracy requirements. Summary of the Invention

[0005] The embodiments of the present application provide a method, device, equipment and medium for determining the furnace radiation heat transfer coefficient. This method can realize the dynamic regulation of the furnace radiation heat transfer coefficient with the oxygen enrichment rate, and solve the problems that the furnace radiation heat transfer coefficient of the heating furnace changes due to the input of oxygen enrichment and the temperature deviation appears in the model calculation.

[0006] In a first aspect, the present invention provides the following technical solutions through an embodiment of the present invention:

[0007] A method for determining the furnace radiation heat transfer coefficient includes: obtaining the production data of the heating furnace and the measured oxygen enrichment rate of each heating section of the heating furnace, where the production data includes the furnace body structure data and the fuel composition in the furnace; based on the production data of the heating furnace, determining a target calculation model from a plurality of preset calculation models, where each calculation model includes the furnace radiation heat transfer coefficient corresponding to different oxygen enrichment rates in each heating section; substituting the measured oxygen enrichment rate of each heating section into the target calculation model to determine the furnace radiation heat transfer coefficient of each heating section.

[0008] Preferably, after determining the furnace radiation heat transfer coefficient of each heating section, it further includes: for each heating section, determining the temperature value of the slab in the heating furnace according to the furnace radiation heat transfer coefficient, and drawing a theoretical temperature curve between temperature and time; correcting the theoretical temperature curve according to the real-time temperature curve, where the real-time temperature curve is drawn by measuring the temperature of the slab in the heating furnace; obtaining the corrected furnace radiation heat transfer coefficient based on the correction result; and updating the target calculation model based on the corrected radiation heat transfer coefficient to obtain an updated target calculation model.

[0009] Preferably, the correcting the theoretical temperature curve according to the real-time temperature curve includes: controlling the deviation between the theoretical temperature curve and the real-time temperature curve within a preset temperature threshold, and correcting the theoretical temperature curve.

[0010] Preferably, the preset temperature threshold is ±10°C.

[0011] Preferably, before correcting the theoretical temperature curve according to the real-time temperature curve, it further includes: obtaining the measured temperature of the slab during heating in the heating furnace through a slab thermocouple experiment, and drawing a real-time temperature curve between temperature and time.

[0012] Preferably, before determining the target calculation model from a plurality of preset calculation models based on the production data of the heating furnace, the method further includes: determining the furnace radiant heat transfer coefficients of each heating section of different heating furnaces at different oxygen enrichment rates for different heating furnace production data; and establishing a plurality of calculation models based on the furnace radiant heat transfer coefficients of each heating section at different oxygen enrichment rates.

[0013] Preferably, the establishing a plurality of calculation models based on the furnace radiant heat transfer coefficients of each heating section at different oxygen enrichment rates includes: for each heating section, sorting the oxygen enrichment rates at different levels under the heating section and then dividing the intervals; fitting the furnace radiant heat transfer coefficients at different oxygen enrichment rates in a single interval to form the radiant heat transfer coefficient fitting formula for each interval; and establishing a plurality of calculation models according to the radiant heat transfer coefficient fitting formulas of each interval.

[0014] In a second aspect, through an embodiment of the present invention, the present invention provides the following technical solution:

[0015] A device for determining the furnace radiant heat transfer coefficient includes:

[0016] An acquisition module, configured to acquire the production data of the heating furnace and the measured values of the oxygen enrichment rates of each heating section of the heating furnace, wherein the production data includes the furnace body structure data and the fuel components in the furnace;

[0017] A first determination module, configured to determine a target calculation model from a plurality of preset calculation models based on the production data of the heating furnace, wherein each calculation model includes the furnace radiant heat transfer coefficients corresponding to different oxygen enrichment rates in each heating section;

[0018] A second determination module, configured to substitute the measured values of the oxygen enrichment rates of each heating section into the target calculation model to determine the furnace radiant heat transfer coefficients of each heating section.

[0019] In a third aspect, through an embodiment of the present invention, the present invention provides the following technical solution:

[0020] An electronic device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the steps of the method according to any one of the foregoing first aspects are implemented.

[0021] In a fourth aspect, through an embodiment of the present invention, the present invention provides the following technical solution:

[0022] A computer-readable storage medium stores a computer program thereon, and when the program is executed by a processor, the steps of the method according to any one of the foregoing first aspects are implemented.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0024] The method for determining the furnace radiant heat transfer coefficient provided in the embodiments of the present invention first obtains the production data of the heating furnace and the measured oxygen enrichment rate of each heating section of the heating furnace; then, based on the production data of the heating furnace, a target calculation model is determined from a plurality of preset calculation models; the measured oxygen enrichment rate of each heating section is brought into the target calculation model to determine the furnace radiant heat transfer coefficient of each heating section. Considering that the furnace radiant heat transfer coefficient is a key parameter for simulating the slab temperature in the heating furnace model, by determining the influence law of oxygen-enriched combustion on the furnace radiant heat transfer coefficient, the radiant heat transfer coefficient parameters under different oxygen enrichment rates are determined. This method realizes the dynamic regulation of the furnace radiant heat transfer coefficient with the oxygen enrichment rate, solves the problem that the furnace radiant heat transfer coefficient of the heating furnace changes due to the input of oxygen enrichment and the temperature deviation occurs in the model calculation, is beneficial to the accurate control of the slab temperature, and thus reduces the gas consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0026] Figure 1 It is a flowchart of the method for determining the furnace radiant heat transfer coefficient in the embodiments of the present invention;

[0027] Figure 2 It is a schematic diagram of the radiant heat transfer coefficient of each heating section under different oxygen enrichment rates in the embodiments of the present invention;

[0028] Figure 3a It is a comparison schematic diagram of the real-time temperature curve and the theoretical temperature curve before correction in the embodiments of the present invention;

[0029] Figure 3b It is a temperature deviation schematic diagram of the real-time temperature curve and the theoretical temperature curve before correction in the embodiments of the present invention;

[0030] Figure 4a It is a comparison schematic diagram of the real-time temperature curve and the theoretical temperature curve after correction in the embodiments of the present invention;

[0031] Figure 4b It is a temperature deviation schematic diagram of the real-time temperature curve and the theoretical temperature curve after correction in the embodiments of the present invention;

[0032] Figure 5Schematic diagram of the structure of the device for determining the furnace radiant heat transfer coefficient in the embodiments of the present invention;

[0033] Figure 6 Schematic diagram of the structure of the electronic device in the embodiments of the present invention. Detailed implementation manners

[0034] The inventors have found through research that the use of oxygen-enriched combustion technology in rolling heating furnaces can promote full combustion, increase the flame temperature, and enhance the radiant heat transfer capacity of flue gas, thereby changing the radiant heat transfer characteristics of the furnace. The furnace radiant heat transfer coefficient is a key parameter for simulating the slab temperature in the heating furnace model. The furnace radiant heat transfer coefficient is generally a fixed model parameter. How to determine the influence law of oxygen-enriched combustion on the furnace radiant heat transfer coefficient and achieve dynamic adjustment of the model parameters is one of the key research topics in the industrial application of oxygen-enriched combustion technology.

[0035] In view of this, the embodiments of the present application provide a method, device, equipment and medium for determining the furnace radiant heat transfer coefficient. This method can realize the dynamic regulation of the furnace radiant heat transfer coefficient with the oxygen enrichment rate, and solves the problems that the furnace radiant heat transfer coefficient of the heating furnace changes due to the input of oxygen enrichment and the temperature calculated by the model deviates.

[0036] The technical solution of the embodiments of the present application for solving the above technical problems is generally as follows:

[0037] A method for determining the furnace radiant heat transfer coefficient includes: obtaining the production data of the heating furnace and the measured values of the oxygen enrichment rate of each heating section of the heating furnace, where the production data includes the furnace body structure data and the fuel composition in the furnace; based on the production data of the heating furnace, determining a target calculation model from a plurality of preset calculation models, where each calculation model includes the furnace radiant heat transfer coefficient corresponding to different oxygen enrichment rates in each heating section; substituting the measured values of the oxygen enrichment rate of each heating section into the target calculation model to determine the furnace radiant heat transfer coefficient of each heating section.

[0038] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0039] In the first aspect, a method for determining the furnace radiant heat transfer coefficient provided by the embodiments of the present invention, specifically, as Figure 1 shown, the method includes the following steps S101 to S103:

[0040] Step S101, obtain the production data of the heating furnace and the measured values of the oxygen enrichment rate of each heating section of the heating furnace, where the production data includes the furnace body structure data and the fuel composition in the furnace.

[0041] In a specific embodiment, the furnace body structure data may include: the volume of the heating furnace, geometric shape, hearth area, and the wall thickness of the hearth, etc. The fuel components in the furnace may include the contents of components such as carbon dioxide, oxygen, carbon monoxide, hydrogen, and methane in the furnace. The heating section of the heating furnace includes a preheating section, a soaking section, a first heating section, and a second heating section.

[0042] Specifically, through on-site production data, the furnace body structure data of the heating furnace can be determined. By using composition analysis methods (such as: fuel composition analysis method, sampling and analysis method), the content of fuel components in the heating furnace can be measured.

[0043] In a specific embodiment, obtaining the measured values of the oxygen enrichment rate of each heating section of the heating furnace may include: obtaining the measured values of the oxygen enrichment rate of each heating section of the heating furnace at intervals of a preset acquisition period. For example, the preset acquisition period may be between 1 min and 3 min, such as 1 min.

[0044] Optionally, the measured value of the oxygen enrichment rate of the heating section can be monitored by an oxygen concentration detection sensor (such as a zirconia sensor).

[0045] Step S102, based on the production data of the heating furnace, determine a target calculation model from a preset plurality of calculation models, where each calculation model includes the hearth radiation heat transfer coefficient corresponding to different oxygen enrichment rates in each heating section.

[0046] In a specific embodiment, before determining a target calculation model from a preset plurality of calculation models based on the production data of the heating furnace, it may further include: for different heating furnace production data, determine the hearth radiation heat transfer coefficient of each heating section of different heating furnaces at different oxygen enrichment rates; based on the hearth radiation heat transfer coefficient of each heating section at different oxygen enrichment rates, establish a plurality of calculation models.

[0047] Specifically, according to the furnace body structure data of the heating furnace and the fuel components in the heating furnace, the hearth radiation heat transfer coefficient of different heating sections at different oxygen enrichment rates can be determined. Furthermore, according to the fuel components in the furnace, the change of the oxygen enrichment rate in the furnace can be determined. Then, in combination with the furnace structure, fuel components, and the change of the oxygen enrichment rate, the hearth radiation heat transfer coefficient of each heating section of the heating furnace at different oxygen enrichment rates can be preliminarily calculated. As Figure 2 shown, it is a schematic diagram of the radiation heat transfer coefficient of each heating section at different oxygen enrichment rates. Figure 2 It shows the radiation heat transfer coefficients of the preheating section, soaking section, first heating section, and second heating section at different oxygen enrichment rates, where the abscissa is the oxygen enrichment rate and the ordinate is the radiation heat transfer coefficient.

[0048] In one embodiment, in order to obtain a more accurate calculation model, based on the furnace radiation heat transfer coefficients of each heating section at different oxygen enrichment rates, multiple calculation models can be established, which may include: for each heating section, sorting the oxygen enrichment rates at different levels and then dividing them into intervals; fitting the furnace radiation heat transfer coefficients at different oxygen enrichment rates in a single interval to form the radiation heat transfer coefficient fitting formulas for each interval; and establishing multiple calculation models according to the radiation heat transfer coefficient fitting formulas for each interval.

[0049] Sorting the different oxygen enrichment rates and then dividing them into intervals may include: for the preheating section and the soaking section, sorting the different oxygen enrichment rates in ascending order and then dividing them into four intervals; for the first heating section and the second heating section, sorting the different oxygen enrichment rates in ascending order and then dividing them into eight intervals.

[0050] Specifically, the oxygen enrichment rates at different levels for each heating section can be sorted in ascending order to obtain the oxygen enrichment rate sequence for each heating section, and then the oxygen enrichment rate sequence can be divided into multiple intervals to obtain several oxygen enrichment rate subsequences, with a single oxygen enrichment rate subsequence corresponding to an oxygen enrichment rate interval.

[0051] Assume that the total oxygen enrichment rate intervals for the preheating section and the soaking section are both [20%, 60%]. The total oxygen enrichment rate interval is divided into the oxygen enrichment rate interval [20%, 30%), the oxygen enrichment rate interval [30%, 40%), the oxygen enrichment rate interval [40%, 50%), and the oxygen enrichment rate interval [50%, 60%]. Then, based on the furnace radiation heat transfer coefficients at different oxygen enrichment rates in a single interval, the radiation heat transfer coefficient fitting formulas for each interval are formed, and the radiation heat transfer coefficient fitting formulas for each oxygen enrichment rate interval of the preheating section and the soaking section are obtained, as shown in Table 1 below:

[0052] Table 1

[0053] Oxygen enrichment rate 20％≤x＜30％ 30％≤x＜40％ 40％≤x＜50％ 50％≤x≤60％ Preheating section y = 3x + 3.33 y = 2x + 3.63 y = 1x + 4.03 y = 0.5x + 4.28 soaking section y = 3x + 1.84 y = 2x + 2.14 y = 1x + 2.54 y = 0.8x + 2.64

[0054] Among them, y is the radiation heat transfer coefficient and x is the oxygen enrichment rate.

[0055] Assume that the total oxygen enrichment rate intervals for the first heating section and the second heating section are both [20%, 28%]. The total oxygen enrichment rate interval is divided into the oxygen enrichment rate interval [20%, 21%), the oxygen enrichment rate interval [21%, 22%), the oxygen enrichment rate interval [22%, 23%), the oxygen enrichment rate interval [23%, 24%], the oxygen enrichment rate interval [24%, 25%), the oxygen enrichment rate interval [25%, 26%), the oxygen enrichment rate interval [26%, 27%), and the oxygen enrichment rate interval [27%, 28%]. Then, based on the furnace radiation heat transfer coefficients at different oxygen enrichment rates in a single interval, the radiation heat transfer coefficient fitting formulas for each interval are formed, and the radiation heat transfer coefficient fitting formulas for each oxygen enrichment rate interval of the first heating section and the second heating section are obtained, as shown in Table 2 below:

[0056] Table 2

[0057]

[0058] As other embodiments, based on the furnace radiant heat transfer coefficients of each heating section under different oxygen enrichment rates, multiple calculation models can be established, which may include: for each heating section, fitting the furnace radiant heat transfer coefficients under different oxygen enrichment rates of the heating section to form a fitting formula for the radiant heat transfer coefficient; and establishing multiple calculation models according to the fitting formula for the radiant heat transfer coefficient.

[0059] Specifically, due to the change of the production data of the heating furnace, the furnace radiant heat transfer coefficients of each heating section under different oxygen enrichment rates will also change. Therefore, according to different production data of the heating furnace, corresponding different calculation models can be determined and stored in the calculation database, where the calculation database includes the corresponding relationships between multiple production data of the special heating furnace and multiple calculation models.

[0060] In actual production, based on the production data of the heating furnace, a target calculation model can be determined from multiple preset calculation models.

[0061] Step S103: Substitute the measured oxygen enrichment rate values of the respective heating sections into the target calculation model to determine the furnace radiant heat transfer coefficients of the respective heating sections.

[0062] Substitute the measured oxygen enrichment rate values of each heating section into the target calculation module, and determine the corresponding furnace radiant heat transfer coefficients according to the measured oxygen enrichment rate values, so as to realize the dynamic regulation of the furnace radiant heat transfer coefficient according to the change of the oxygen enrichment rate.

[0063] To ensure the accuracy of the calculation model, ensure the accuracy of the determination of the furnace radiant heat transfer coefficient, and improve the production precision, after determining the furnace radiant heat transfer coefficients of the respective heating sections, it may further include: for each heating section, determining the temperature value of the slab in the heating furnace according to the furnace radiant heat transfer coefficient, and plotting a theoretical temperature curve between temperature and time; correcting the theoretical temperature curve according to the real-time temperature curve, where the real-time temperature curve is plotted by measuring the temperature of the slab in the heating furnace; obtaining the corrected furnace radiant heat transfer coefficient based on the correction result; and updating the target calculation model based on the corrected radiant heat transfer coefficient to obtain an updated target calculation model.

[0064] In a specific embodiment, determining the temperature value of the slab in the heating furnace according to the furnace radiant heat transfer coefficient may include: adopting an experimental acquisition method to adjust the furnace radiant heat transfer coefficient in the heating furnace, measuring the temperature values of the slab at different positions, and then determining the temperature value of the slab in the heating furnace according to the furnace radiant heat transfer coefficient. Based on the furnace radiant heat transfer coefficient, heat transfer calculations are performed on each slab in the furnace to obtain the corresponding relationship between temperature and time, and according to this corresponding relationship, a theoretical temperature curve between temperature and time is plotted.

[0065] Specifically, before correcting the theoretical temperature curve according to the real-time temperature curve, it may further include: through the slab thermocouple embedding experiment, obtaining the measured temperature of the slab during heating in the heating furnace, and plotting the real-time temperature curve between temperature and time.

[0066] Correcting the theoretical temperature curve according to the real-time temperature curve may include: controlling the deviation between the theoretical temperature curve and the real-time temperature curve within a preset temperature threshold, and correcting the theoretical temperature curve. Optionally, the preset temperature threshold may be ±10°C.

[0067] As an alternative embodiment, controlling the deviation between the theoretical temperature curve and the real-time temperature curve within a preset temperature threshold may include: comparing the theoretical temperature curve with the real-time temperature curve, and for the temperature data with deviation in the theoretical temperature curve, correcting the theoretical temperature curve by correcting the radiant heat transfer coefficient, so that the deviation between the theoretical temperature curve and the real-time temperature curve is within ±10°C. After the correction is completed, the corrected radiant heat transfer coefficient is obtained; the calculation model is updated based on the corrected radiant heat transfer coefficient. Thus, the furnace radiant heat transfer coefficient under different oxygen enrichment rates is verified and corrected through experiments, and the control accuracy of the calculation model is improved.

[0068] Furthermore, in order to improve the accuracy of the calculation model, after obtaining the corrected radiant heat transfer coefficient, it may further include: repeating the step of correcting the theoretical temperature curve according to the real-time temperature curve, so that the theoretical temperature curve coincides with the real-time temperature curve, and finally determining the final furnace radiant heat transfer coefficient of each heating section under different oxygen enrichment rates, and inputting the final furnace radiant heat transfer coefficient into the calculation model as the basis for calculating model control.

[0069] For example, during the implementation of the experiment, the oxygen enrichment rates and the matched furnace radiant heat transfer coefficients of each heating section are shown in Table 3 below:

[0070] Table 3

[0071] Preheating section First heating section Second heating section Soaking section Oxygen enrichment rate 50％ 26％ 26％ 35％ Furnace radiant heat transfer coefficient 4.53 4.63 2.94 2.84

[0072] The real-time temperature curve of the slab is obtained through experiments, and the theoretical temperature curve of the slab is calculated by the model. The furnace radiation heat transfer coefficient under different oxygen enrichment rates is verified and corrected. As Figure 3a shown, it is a comparison chart of the real-time temperature curve and the theoretical temperature curve of the slab before the correction of the theoretical temperature curve of the slab. Figure 3b shown, it is a schematic diagram of the temperature deviation between the real-time temperature curve and the theoretical temperature curve. Among them, the abscissa is time, and the ordinate is temperature. In the heating section marking line, 1 is the heat recovery section, 2 is the preheating section, 3 is the first heating section, 4 is the second heating section, and 5 is the soaking section. According to the deviation between the measured slab temperature and the slab temperature calculated by the model, the deviation between the theoretical slab temperature and the measured slab temperature is controlled within ±10°C, and the radiation heat transfer coefficient of the model is corrected.

[0073] As Figure 4a shown, it is a comparison chart of the real-time temperature curve and the theoretical temperature curve of the corrected slab. As Figure 4b shown, it is the temperature deviation between the real-time temperature curve and the theoretical temperature curve. In one implementation scenario, through experimental verification, before correction, the deviation between the model-calculated temperature and the measured temperature of the slab after heating is 10°C, and the maximum temperature deviation during the heating process is 18°C; after correction, the deviation between the model-calculated temperature and the measured temperature of the slab after heating is 4°C, and the maximum temperature deviation during the heating process is 9.5°C.

[0074] Combining the results of multiple experiments and correction results, the furnace radiation heat transfer coefficient input into the model is optimized and adjusted to determine the final furnace radiation heat transfer coefficient.

[0075] As shown in Table 4, it is a comparison of the radiation heat transfer coefficients of each heating section before and after correction:

[0076] Table 4

[0077] Preheating section First heating section Second heating section Soaking section Oxygen enrichment rate 50％ 26％ 26％ 35％ Radiant heat transfer coefficient (before correction) 4.53 4.63 2.94 2.84 Radiant heat transfer coefficient (after correction) - 4.60 2.89 2.82

[0078] After adopting the above method, the control accuracy of the temperature is improved, and the gas waste caused by too high temperature control is reduced. According to statistics, before and after optimization, the heating temperature of the slab when it leaves the furnace is reduced by 14°C, the annual gas consumption is reduced by 6.75 million cubic meters, and the annual cost savings is 2.43 million yuan.

[0079] Therefore, considering the influence of the oxygen enrichment rate in the oxygen-enriched combustion of the heating furnace on the radiation heat transfer coefficient parameter, in view of the problem in the prior art that the radiation heat transfer coefficient parameter of the furnace before the oxygen-enriched combustion is adopted, resulting in a deviation in the calculated temperature and deviation from the process accuracy requirements, the radiation heat transfer coefficient of the furnace under different oxygen enrichment rates is preliminarily determined through theoretical calculation, and then the radiation heat transfer coefficient of the furnace under different oxygen enrichment rates is verified and corrected through experiments, so that the calculation deviation of the furnace temperature is within ±10°C. According to this method, the dynamic regulation of the radiation heat transfer coefficient of the furnace with the oxygen enrichment rate is realized, solving the problem that the radiation heat transfer coefficient of the heating furnace furnace changes due to the oxygen enrichment input and the temperature calculated by the model deviates, and improving the accuracy of the temperature calculated by the model.

[0080] In summary, through a method for determining the radiation heat transfer coefficient of a furnace provided by an embodiment of the present invention, by dynamically regulating the radiation heat transfer coefficient of the furnace with the oxygen enrichment rate, the problem that the radiation heat transfer coefficient of the heating furnace furnace changes due to the oxygen enrichment input and the temperature calculated by the model deviates is solved. The problem that the radiation heat transfer coefficient of the heating furnace furnace changes due to the oxygen enrichment input and the temperature calculated by the model deviates is solved, and accurate control of the slab temperature can be achieved, thereby reducing gas consumption.

[0081] In a second aspect, based on the same inventive concept, this embodiment provides a device for determining the radiation heat transfer coefficient of a furnace, as Figure 5 shown, including:

[0082] An acquisition module 401, configured to acquire production data of the heating furnace and measured values of the oxygen enrichment rate of each heating section of the heating furnace, wherein the production data includes furnace body structure data and fuel components in the furnace;

[0083] A first determination module 402, configured to determine a target calculation model from a plurality of preset calculation models based on the production data of the heating furnace, wherein each calculation model includes the radiation heat transfer coefficient of the furnace corresponding to different oxygen enrichment rates in each heating section;

[0084] A second determination module 403, configured to substitute the measured values of the oxygen enrichment rate of each heating section into the target calculation model to determine the radiation heat transfer coefficient of each heating section.

[0085] As an optional embodiment, the device further includes:

[0086] A theoretical temperature curve determination module, configured to, for each heating section, determine the temperature value of the slab in the heating furnace according to the radiation heat transfer coefficient of the furnace and draw a theoretical temperature curve between the temperature and time;

[0087] A correction module for correcting the theoretical temperature curve according to the real-time temperature curve, where the real-time temperature curve is obtained by actually measuring and plotting the temperature of the slab in the heating furnace;

[0088] A heat transfer coefficient determination module for obtaining the corrected furnace radiant heat transfer coefficient based on the correction result;

[0089] An update module for updating the target calculation model based on the corrected radiant heat transfer coefficient to obtain the updated target calculation model.

[0090] As an optional embodiment, the correction module is specifically configured to control the deviation between the theoretical temperature curve and the real-time temperature curve within a preset temperature threshold, and correct the theoretical temperature curve.

[0091] As an optional embodiment, the preset temperature threshold is ±10°C.

[0092] As an optional embodiment, the device further includes: a measured temperature determination module for obtaining the measured temperature of the slab during heating in the heating furnace through a slab embedded thermocouple experiment, and plotting the real-time temperature curve between the temperature and time.

[0093] As an optional embodiment, the device further includes:

[0094] A third determination module for determining the furnace radiant heat transfer coefficient of each heating section of different heating furnaces at different oxygen enrichment rates for different heating furnace production data;

[0095] A model establishment module for establishing a plurality of calculation models based on the furnace radiant heat transfer coefficients of each heating section at different oxygen enrichment rates.

[0096] As an optional embodiment, the model establishment module is specifically configured to, for each heating section, sort the oxygen enrichment rates at different levels and divide the intervals; fit the furnace radiant heat transfer coefficients at different oxygen enrichment rates in a single interval to form the radiant heat transfer coefficient fitting formula for each interval; and establish a plurality of calculation models according to the radiant heat transfer coefficient fitting formulas of each interval.

[0097] The above modules can be implemented by software code. In this case, the above modules can be stored in the memory of the control device. The above modules can also be implemented by hardware such as integrated circuit chips.

[0098] The principle of implementation and the technical effects generated by the device for determining the furnace radiant heat transfer coefficient provided by the embodiments of the present invention are the same as those of the foregoing method embodiments. For a brief description, for the parts not mentioned in the device embodiments, reference may be made to the corresponding content in the foregoing method embodiments.

[0099] In a third aspect, based on the same inventive concept, this embodiment provides an electronic device 500, as Figure 6 shown, which includes: a memory 501, a processor 502, and a computer program 503 stored on the memory and executable on the processor. When the processor 502 executes the program, it implements the steps of the method for determining the furnace radiant heat transfer coefficient described in the foregoing first aspect.

[0100] Since the electronic device introduced in this embodiment is the electronic device used to implement the method for determining the furnace radiant heat transfer coefficient in the embodiments of the present application, based on the method for determining the furnace radiant heat transfer coefficient introduced in the embodiments of the present application, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, the specific implementation of how this electronic device implements the method in the embodiments of the present application will not be described in detail here. As long as those skilled in the art implement the electronic device used in the method for determining the furnace radiant heat transfer coefficient in the embodiments of the present application, it falls within the scope of protection of the present application.

[0101] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0102] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate modules for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0103] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction modules, and the instruction modules implement the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1The functions specified in one or more boxes.

[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide for implementing the steps of the functions specified in Figure 1 one process or more processes and / or boxes Figure 1 the functions specified in one box or more boxes.

[0105] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0106] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for determining a furnace radiation heat transfer coefficient, characterized in that: include: Acquire production data of the heating furnace and measured values ​​of oxygen enrichment rate of each heating section of the heating furnace, wherein the production data includes furnace structure data and fuel composition in the furnace; Based on the production data of the heating furnace, a target calculation model is determined from a plurality of preset calculation models, wherein each calculation model includes a furnace radiation heat transfer coefficient corresponding to different oxygen enrichment rates in each heating section; The measured value of the oxygen enrichment rate of each heating section is brought into the target calculation model to determine the furnace radiation heat transfer coefficient of each heating section.

2. The method according to claim 1, characterized in that After determining the furnace radiation heat transfer coefficient of each heating section, the method further includes: For each heating section, the temperature value of the slab in the heating furnace is determined according to the furnace radiation heat transfer coefficient, and a theoretical temperature curve between temperature and time is plotted; The theoretical temperature curve is corrected according to the real-time temperature curve, wherein the real-time temperature curve is obtained by actually measuring the temperature of the slab in the heating furnace; Based on the correction results, the corrected furnace radiation heat transfer coefficient is obtained; Based on the corrected radiation heat transfer coefficient, the target calculation model is updated to obtain an updated target calculation model.

3. The method according to claim 2, characterized in that The step of correcting the theoretical temperature curve according to the real-time temperature curve includes: The deviation between the theoretical temperature curve and the real-time temperature curve is controlled to be within a preset temperature threshold, and the theoretical temperature curve is corrected.

4. The method according to claim 3, characterized in that The preset temperature threshold is ±10°C.

5. The method according to claim 2, characterized in that Before the theoretical temperature curve is corrected according to the real-time temperature curve, the method further comprises: Through the slab buried couple experiment, the measured temperature of the slab when heated in the heating furnace is obtained, and the real-time temperature curve between temperature and time is plotted.

6. The method according to claim 1, characterized in that Before determining the target calculation model from a plurality of preset calculation models based on the production data of the heating furnace, the method further includes: According to different heating furnace production data, the furnace radiation heat transfer coefficient of each heating section of different heating furnaces under different oxygen enrichment rates is determined; Based on the furnace radiation heat transfer coefficient of each heating section under different oxygen enrichment rates, a plurality of calculation models are established.

7. The method according to claim 6, characterized in that Based on the furnace radiation heat transfer coefficient of each heating section at different oxygen enrichment rates, multiple calculation models are established, including: For each heating section, the different oxygen enrichment rates under the heating section are sorted and then divided into intervals; Fitting the furnace radiation heat transfer coefficient under different oxygen enrichment rates in a single zone to form a fitting formula for the radiation heat transfer coefficient of each zone; A plurality of calculation models are established according to the fitting formulas of the radiation heat transfer coefficients of the various intervals.

8. A device for determining the furnace radiation heat transfer coefficient, characterized in that: include: An acquisition module, used to acquire production data of the heating furnace and measured values ​​of oxygen enrichment rate of each heating section of the heating furnace, wherein the production data includes furnace structure data and fuel composition in the furnace; A first determination module is used to determine a target calculation model from a plurality of preset calculation models based on the production data of the heating furnace, wherein each calculation model includes a furnace radiation heat transfer coefficient corresponding to different oxygen enrichment rates in each heating section; The second determination module is used to bring the measured value of the oxygen enrichment rate of each heating section into the target calculation model to determine the furnace radiation heat transfer coefficient of each heating section.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

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