Coke oven intelligent thermal control method and device

Abstract

The invention provides an intelligent thermal control method for a coke oven, and relates to the technical field of coke oven heating combustion control. The specific implementation scheme is as follows: establishing two groups of vertical flues in the coke oven and a physical model of a carbonization chamber between the two groups of vertical flues; based on the mathematical model and the physical model, the real-time coking heat consumption of the coal in the carbonization chamber along with the change of the coking time is obtained; determining the flow of mixed gas output to the coke oven based on the real-time coking heat consumption, the mature fire falling time and the actually measured temperature of the vertical flue; based on the mixed gas flow, the mixed gas is output to the coke oven, and the cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of coke oven heating and combustion control, and in particular to a coke oven intelligent thermal control method and device, electronic equipment, and computer-readable storage medium. Background Art

[0002] Coking heat consumption is an important indicator for evaluating the thermal management of coke ovens, and is also an important reference parameter for the coke oven automatic heating system. This data needs to be calculated in combination with the process parameters of the coal for charging (coal bulk density, moisture content, volatile matter, ash content, etc.), the coke charging operation plan, the thermal efficiency of the coke oven, etc. The actual production process of the coke oven is complex, involving thermodynamic changes such as phase change, heat conduction, heat convection and heat radiation, as well as complex chemical reactions. The coking heat consumption is usually obtained by practical experience and simple calculations, but the effect of applying the calculated coking heat consumption to the coke oven automatic heating system is not good.

[0003] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the disclosure and should not be regarded as an acknowledgement or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0004] The present disclosure provides a coke oven intelligent thermal control method and device, electronic equipment, and computer-readable storage medium.

[0005] According to the first aspect, a coke oven intelligent thermal control method is provided, the method comprising: establishing a physical model of two groups of vertical fire channels in the coke oven and a carbonization chamber between the two groups of vertical fire channels; obtaining the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes based on the mathematical model and the physical model; determining the mixed coal gas flow rate output to the coke oven based on the real-time coking heat consumption, the mature fire drop time and the measured temperature of the vertical fire channels; and outputting the mixed coal gas to the coke oven based on the mixed coal gas flow rate.

[0006] According to the second aspect, an intelligent thermal control device for a coke oven is provided, the device comprising: a modeling unit, configured to establish a physical model of two groups of vertical fire channels in the coke oven and a carbonization chamber between the two groups of vertical fire channels; an obtaining unit, configured to obtain the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes based on the mathematical model and the physical model; a determining unit, configured to determine the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, the mature fire drop time and the measured temperature of the vertical fire channels; and an output unit, configured to output the mixed gas to the coke oven based on the mixed gas flow rate.

[0007] According to a third aspect, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in any implementation manner of the first aspect.

[0008] According to a fourth aspect, a non-transitory computer-readable storage medium storing computer instructions is provided, where the computer instructions are used to cause a computer to execute the method described in any implementation of the first aspect.

[0009] The coke oven intelligent thermal control method and device provided by the embodiment of the present disclosure firstly establishes a physical model of two groups of vertical fire channels in the coke oven and a carbonization chamber between the two groups of vertical fire channels; secondly, based on the mathematical model and the physical model, obtains the real-time coking heat consumption of the coal in the carbonization chamber as it changes with the coking time; then, based on the real-time coking heat consumption, the mature fire falling time and the measured temperature of the vertical fire channel, determines the mixed coal gas flow output to the coke oven; finally, based on the mixed coal gas flow, outputs the mixed coal gas to the coke oven. Thus, the real-time coking heat consumption is obtained by simulating the combustion chamber and the carbonization chamber, and the real-time coking heat consumption is applied to the mixed coal gas flow control, so as to obtain a more accurate means of regulating the mixed coal gas flow, thereby reducing energy consumption, reducing carbon and pollutant emissions, improving coke quality and reducing costs.

[0010] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0012] Figure 1 is a flow chart of an embodiment of the coke oven intelligent thermal control method according to the present disclosure;

[0013] Figure 2 It is a structural schematic diagram of a physical model in the coke oven intelligent thermal control method disclosed in the present invention;

[0014] Figure 3a to 3e It is a heat flow rate cloud diagram of the heating wall surface between the neutral fire channel and the carbonization chamber at different times of the present disclosure;

[0015] Figure 4 is a graph showing the variation of heat flow rate of the carbonization chambers on both sides with coking time in the present disclosure;

[0016] Figure 5 It is a structural schematic diagram between various modules in the present disclosure;

[0017] Figure 6 is a structural schematic diagram of an embodiment of a coke oven intelligent thermal control device according to the present disclosure;

[0018] Figure 7 It is a block diagram of an electronic device used to implement the coke oven intelligent thermal control method according to the embodiment of the present disclosure. DETAILED DESCRIPTION

[0019] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0020] The technical solution of the present disclosure is described below by means of specific embodiments. It should be understood that one or more steps mentioned in the present disclosure do not exclude the existence of other methods and steps before and after the combination step, or other methods and steps may be inserted between these explicitly mentioned steps. It should also be understood that these examples are only used to illustrate the present disclosure and are not used to limit the scope of the present disclosure. Unless otherwise specified, the numbering of each method step is only for the purpose of identifying each method step, and does not limit the order of arrangement of each method or limit the scope of implementation of the present disclosure. Changes or adjustments in their relative relationships can also be regarded as the scope of implementation of the present disclosure without substantial changes in the technical content.

[0021] The sources of the raw materials and instruments used in the examples are not particularly limited and can be purchased from the market or prepared according to conventional methods known to those skilled in the art.

[0022] Fire drop management: Fire drop is an objective phenomenon in the coking process, and it is a sign that the coke cake is basically mature. "Fire drop time" can quantitatively express the maturity of the coke cake. "Fire drop management" is a thermal management process directly aimed at product quality.

[0023] The traditional coke oven automatic heating system is an advanced automatic control technology. Through comprehensive control and monitoring of the coke oven heating process, it can achieve a balanced distribution of the temperature in the oven, improve the energy utilization rate in the oven, and thus reduce production costs. The traditional coke oven automatic heating system is a control system combined with forward feedback. The target heat demand is calculated by the heat supply model based on the coking time, coal parameters, etc. (feedforward), and then the measured carbonization chamber furnace wall temperature, the temperature at the end of coking of coke, or the raw coal gas temperature during the coking process (feedback), and the calculated average temperature of the whole oven is used to correct the heat supply, and then the amount of coal gas used for coke oven heating is determined according to the current characteristic parameters. Since the target heat demand calculated by the feedforward is a fixed value, not real-time accurate data, the regulation of the gas flow mainly depends on the temperature change regulation of the fire drop management model, and the temperature data measured by the feedback has a certain lag, which makes the automatic heating control have certain defects.

[0024] The automatic heating control system is a typical system with large inertia, nonlinearity, and time-varying characteristic parameters. In the production process, the automatic heating control system is often disturbed by factors such as delayed coking, changes in coking time, coal quality, and fluctuations in the moisture content of the coal in the furnace. According to the production process requirements, the fluctuation of the furnace temperature should be controlled within a certain range. The essence of automatic heating is to provide corresponding fuel combustion according to the heat required for coking in the carbonization chamber. Since the real-time heat consumption of the carbonization chamber cannot be calculated, the conventional automatic heating control system will use the method of controlling the vertical fire channel temperature, and the vertical fire channel temperature will be corrected by the fire drop model to indirectly adjust the gas flow, but the accuracy of this type of gas flow adjustment is poor.

[0025] In view of the above defects, the present invention proposes an intelligent thermal control method for a coke oven, establishes a coupling model of a double combustion chamber and a single carbonization chamber, simulates the combustion in the coke oven combustion chamber, the coking and heat transfer process in the carbonization chamber, and obtains real-time dynamic coking heat consumption. Through the real-time dynamic coking heat consumption, the amount of heating gas in the single combustion chamber is adjusted to optimize the automatic heating system. Figure 1 A process 100 of an embodiment of a coke oven intelligent thermal control method according to the present disclosure is shown. The coke oven intelligent thermal control method comprises the following steps:

[0026] Step 101, establishing a physical model of two groups of vertical flues in a coke oven and a carbonization chamber between the two groups of vertical flues.

[0027] In this embodiment, a physical model is a conceptual model established by discarding minor factors and focusing on major factors when studying and solving physics problems. A physical model can also be referred to as a model, but in this case it is usually different from a conceptual model and is a smaller or larger replica that can simulate a physical object.

[0028] In this embodiment, the physical model is a conceptual model of the actual vertical fire channel and carbonization chamber, such as Figure 2 As shown, two groups of vertical fire channels (one ascending airflow fire channel and one descending airflow fire channel, respectively) in two combustion chambers RS1 and RS2 and their surrounding silicon bricks ZQ, as well as a carbonization chamber TS are established as physical models, wherein the structure represented by the physical model can be heated by mixed coal gas, wherein the mixed coal gas includes: air and fuel gas, and there are three air inlets at the lower, middle and upper positions for air, and two air inlets at the lower and middle positions for fuel gas. It should be noted that the positions of the air and fuel gas inlets can have different settings based on the different models of the coke oven.

[0029] In this embodiment, the fuel gas may be one or more of H, CH4, CO, CO2, C2H4, C6H6, H2S, and COS.

[0030] In this embodiment, in order to facilitate the subsequent simulation and calculation of real-time coking heat consumption, the physical model can be meshed. The meshing uses tetrahedral units, and the effective unit size conversion from the edge of the domain to the core is achieved by refining the units with hanging nodes. Specifically, the meshes near the boundaries, gas inlets / outlets, and recirculation windows can be refined to obtain geometric details and obtain accurate predictions of variable gradients. After adjusting the mesh size, the influence of the number of meshes on the simulation results is verified by comparing the average temperatures of multiple coal monitoring points in the carbonization chamber at different times. Finally, about 2.3 million units are selected for calculation.

[0031] Step 102, based on the mathematical model and the physical model, obtain the real-time coking heat consumption of the coal in the carbonization chamber as it changes with the coking time.

[0032] In this embodiment, the real-time coking heat consumption is the real-time heat consumption of the carbonization chamber during coking. In traditional technology, this value cannot be accurately obtained. The real-time coking heat consumption can be accurately simulated and calculated through mathematical models and physical models.

[0033] In this embodiment, a mathematical model is used to simulate the air and gas flowing in the combustion chamber in the physical model. Specifically, the mathematical model can be a model of coupling the combustion process in the combustion chamber and the coking process in the carbonization chamber developed by applying three-dimensional numerical simulation technology. The above-mentioned mathematical model includes: the continuity equation, momentum conservation equation, energy conservation equation, chemical substance conservation equation, turbulence model, gas combustion model, radiation heat transfer model, chemical reaction kinetics model, component transport equation, moisture migration model, thermal conductivity model and porous medium model used in the vertical fire channel and carbonization chamber in the control physical model.

[0034] The water migration model is the migration process of water in coal during the coking process. The liquid water contained in the coal will turn into water vapor when the temperature is higher than 100°C. Since the temperature distribution of coal during the coking process is uneven, the temperature near the heating wall will first reach 100°C. At this time, the liquid water will undergo a phase change and vaporize into water vapor. At this time, the temperature of the coke near the center is still lower than the phase change point of water. Therefore, the water vapor that migrates to the center of the carbonization chamber through the pores will recondense into liquid water in this low temperature area. The vaporization process of liquid water, the process of water vapor recondensing into liquid water in an area with a temperature below 100°C, and the energy involved in the latent heat of vaporization (condensation) are realized by writing a C language program.

[0035] The above-mentioned step 102 includes: using simulation technology software, by simulating and calculating various operating parameters in the physical model in the software, obtaining the dynamic heat transfer of coal in the carbonization chamber with the coking time and the coke heating status information, based on the dynamic heat transfer of coal with the coking time and the coke heating status information, obtaining the real-time coking heat consumption, and providing big data support for the intelligent thermal control of the coke oven through the real-time coking heat consumption.

[0036] In this embodiment, numerical simulation technology is used to accurately obtain the dynamic heat consumption of coal in the carbonization chamber with coking time under different coal qualities and process conditions, solving the problem that the dynamic heat consumption is difficult to measure and accurately calculate.

[0037] Step 103, based on the real-time coking heat consumption, mature fire fall time and the measured temperature of the vertical fire channel, determine the mixed gas flow rate output to the coke oven.

[0038] In this embodiment, the real-time coking heat consumption obtained by simulation calculation is applied to the heating control of the coke oven. The mixed gas flow rate can be directly adjusted based on the real-time coking heat consumption, thereby improving the accuracy of heating control and reducing the energy consumption of the coke oven.

[0039] In this embodiment, the mature fire drop time is the mature time of the coke cake in the carbonization chamber, and the mature fire drop time can be the time obtained by the fire drop management model, which infers the fire drop time based on the input raw gas temperature and the coke cake surface temperature at the previous moment. Among them, the raw gas temperature can be measured by placing a thermocouple on the riser or bridge pipe outside the carbonization chamber of the actual coke oven, and the raw gas temperature can be directly collected through the thermocouple. The coke cake surface temperature can be measured by placing a thermocouple on the coke guide grid on the actual coke intercepting car, that is, the coke cake surface temperature can be directly collected through the thermocouple.

[0040] In this embodiment, the measured temperature of the vertical fire channel is the temperature actually measured in the vertical fire channel of the coke oven. Generally, an infrared thermometer or an optical lens is set at the fire viewing hole on the top of the furnace, and the measured temperature of the vertical fire channel can be obtained through the infrared thermometer or the optical lens.

[0041] In this embodiment, a mixed gas flow prediction model can be trained based on the current coke oven. By inputting real-time coking heat consumption, mature fire drop time and actual temperature of the vertical fire channel into the trained mixed gas flow prediction model, the mixed gas flow output by the trained mixed gas flow prediction model can be obtained.

[0042] Optionally, the above step 103 includes: adjusting the real-time coking heat consumption based on the mature fire falling time and the measured temperature of the vertical fire channel, and obtaining the mixed gas flow rate based on the adjusted real-time coking heat consumption.

[0043] Step 104: outputting the mixed coal gas to the coke oven based on the mixed coal gas flow rate.

[0044] In this embodiment, when the mixed coal gas is output to the coke oven, the flow rate of the output mixed coal gas can be set to the mixed coal gas flow rate of this embodiment.

[0045] In this embodiment, the real-time coking heat consumption obtained by simulation is applied to the mixed media flow rate, and the indirect regulation method of correcting the vertical fire channel temperature with the fire drop model is changed to a direct regulation method of correcting the real-time coking heat consumption with the assistance of the fire drop model. The gas flow is directly and intelligently adjusted based on the heat demand of the coal, thereby improving the accuracy of the control system and reducing the energy consumption of the coke oven.

[0046] The embodiment of the present disclosure provides an intelligent thermal control method for a coke oven. First, a physical model of two groups of vertical fire channels in a coke oven and a carbonization chamber between the two groups of vertical fire channels is established; secondly, based on a mathematical model and a physical model, the real-time coking heat consumption of coal in the carbonization chamber that changes with the coking time is obtained; then, based on the real-time coking heat consumption, the mature fire falling time, and the measured temperature of the vertical fire channel, the mixed coal gas flow rate output to the coke oven is determined; finally, based on the mixed coal gas flow rate, the mixed coal gas is output to the coke oven. Thus, the real-time coking heat consumption is obtained by simulating the combustion chamber and the carbonization chamber, and the real-time coking heat consumption is applied to the mixed coal gas flow rate control, so as to obtain a more accurate means of regulating the mixed coal gas flow rate, thereby reducing energy consumption, reducing carbon and pollutant emissions, improving coke quality, and reducing costs.

[0047] In some optional implementations of the present disclosure, the above-mentioned physical model of establishing two groups of vertical fire channels in the coke oven and the carbonization chamber between the two groups of vertical fire channels includes: establishing two combustion chambers respectively, each combustion chamber has a group of vertical fire channels, and each group of vertical fire channels has an ascending airflow fire channel and a descending airflow fire channel respectively; establishing refractory materials around the two combustion chambers and a carbonization chamber between the two combustion chambers, so that the vertical fire channels of the two combustion chambers are respectively located on both sides of the carbonization chamber.

[0048] In this optional implementation, the structure of the two combustion chambers is shown in Figure 2 RS1 and RS2 in the combustion chamber have a cavity KQ between the two combustion chambers and above the carbonization chamber. The combustion chamber RS1 has a set of vertical fire channels, and the combustion chamber RS2 has another set of vertical fire channels.

[0049] The method for establishing a physical model provided by this optional implementation is to first establish two combustion chambers, so that each combustion chamber has a set of vertical fire channels, and each set of vertical fire channels has an ascending airflow fire channel and a descending airflow fire channel; establish refractory materials around the two combustion chambers and a carbonization chamber between the two combustion chambers, so that the vertical fire channels of the two combustion chambers are located on both sides of the carbonization chamber, respectively. This provides a reliable implementation method for establishing a physical model.

[0050] Optionally, the above-mentioned physical model of establishing two groups of vertical fire channels in the coke oven and the carbonization chamber between the two groups of vertical fire channels includes: establishing a carbonization chamber; establishing two combustion chambers on both sides of the carbonization chamber, each combustion chamber has a group of vertical fire channels, and each group of vertical fire channels has an ascending airflow fire channel and a descending airflow fire channel; establishing refractory materials around the two combustion chambers.

[0051] In some optional implementations of the present disclosure, the above-mentioned method of obtaining the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes based on the mathematical model and the physical model includes: establishing a mathematical model of the combustion process in the combustion chamber and the coking process in the carbonization chamber in the physical model; simulating a heat flow cloud diagram of the heat energy transferred from the combustion chamber to the carbonization chamber based on the mathematical model; and calculating a curve diagram of the heat flow rate of the carbonization chamber as the coking time changes based on the heat flow cloud diagram. Based on the curve diagram, determine the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes.

[0052] In this optional implementation, heat flow rate refers to the amount of heat passing through a certain cross section per unit time. Heat flow rate is a thermal load, i.e., heat, which is equivalent to power.

[0053] In this optional implementation, through simulation calculation, the heat flux density cloud diagram of the heating wall between the vertical flue and the carbonization chamber can be obtained. Figure 3a to 3e As shown, Figure 3a to 3e RL is the mark of heat flow rate at different stages, and its unit is kW / m 2 , Figure 3a This is the heat flow cloud diagram of the neutral fire channel and the heating wall of the carbonization chamber in the physical model after heating for 1 hour. Figure 3b This is the heat flow rate cloud diagram of the neutral fire channel and the heating wall of the carbonization chamber in the physical model after heating for 5 hours. Figure 3c This is the heat flow cloud diagram of the neutral fire channel and the heating wall of the carbonization chamber in the physical model after heating for 10 hours. Figure 3d This is the heat flow cloud diagram of the neutral fire channel and the heating wall of the carbonization chamber in the physical model after heating for 15 hours. Figure 3e It is the heat flux cloud diagram of the neutral fire channel and the heating wall of the carbonization chamber in the physical model after 20 hours of heating. From the height of the carbonization chamber, the heat flux density increases with the increase of height as a whole, and at a certain moment, the heat flux of the heating wall is uneven, the heat flux density of the rising airflow and the falling airflow is also different, and the heat flux density at any point on the heated surface varies with the coking time.

[0054] In this optional implementation, there are two carbonization chambers in different coking states on both sides of each combustion chamber in the coke oven. Therefore, the heat flux density of the heating wall on both sides of the vertical fire channel is also different, so the heat absorption of the two carbonization chambers to the middle combustion chamber changes dynamically with time. Through simulation, a curve diagram of the heat flux rate of the carbonization chambers on both sides changing with the coking time can be obtained (see Figure 4 ), Figure 4The middle furnace wall LQ1 is the contact surface between one side of the combustion chamber and the carbonization chamber in the model, and the furnace wall LQ2 is the contact surface between the other side of the combustion chamber and the carbonization chamber. Figure 4 The horizontal axis is the heating time, in h. Figure 4 The vertical axis is the heat flow rate, in kW / m 2 . During the entire coking cycle, the heat transfer on the heat transfer furnace wall of the carbonization chamber is constantly decreasing as the coking progresses. At the initial moment of the coking cycle, the moist, low-temperature coal has just been filled into the carbonization chamber, and the coal in contact with the high-temperature carbonization chamber furnace wall is rapidly dried. Due to the large phase change enthalpy of water, the heat transfer on the furnace wall at this time is the maximum value in the entire coking process. As the surface of the coal is dried, the heat flux on the furnace wall gradually decreases. After about 1 / 5 of the coking cycle, the heat flux on the furnace wall enters a stable state. After more than half of the coking cycle, the moisture in the coal has been almost completely evaporated, and the heat flux on the furnace wall is further reduced. At the end of a cycle, the heat flux on the furnace wall is reduced to about 70% of the average value of the entire process. According to the furnace wall area, the heat curve that needs to be provided to the carbonization chambers on both sides as the coking time changes can be calculated. This heat curve is a curve that reflects the change of the heat flux of the carbonization chamber with the coking time.

[0055] There are many factors that affect the real-time heat consumption of coking, such as air and gas flow, coke pushing sequence, coking time, composition and moisture of the coal charged to the furnace, etc. Simulation is performed according to different working conditions to obtain multiple sets of real-time coking heat consumption.

[0056] This optional implementation method provides for obtaining real-time coking heat consumption, firstly establishing a mathematical model of the combustion process in the combustion chamber and the coking process in the carbonization chamber in the physical model; based on the mathematical model, simulating a heat flow cloud diagram of heat energy transferred from the combustion chamber to the carbonization chamber; based on the heat flow cloud diagram, calculating a curve diagram of the heat flow rate of the carbonization chamber varying with the coking time; based on the curve diagram, determining the real-time coking heat consumption of the coal in the carbonization chamber varying with the coking time, thereby providing an accurate calculation method for obtaining the real-time coking heat consumption.

[0057] In some optional implementations of the present disclosure, the above-mentioned determination of the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, the mature fire drop time and the actually measured temperature of the vertical fire channel includes: calculating the real-time mixed gas flow rate based on the real-time coking heat consumption; detecting whether the time difference between the mature fire drop time and the preset fire drop time is within the preset time range; in response to detecting that the time difference is within the preset time range, detecting whether the temperature difference between the actually measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; in response to detecting that the temperature difference is within the preset temperature range, outputting the real-time mixed gas flow rate to the coke oven.

[0058] In this optional implementation, the real-time mixed coal gas flow rate can be obtained by calculation. Specifically, the real-time coking heat is divided by the lower calorific value of coal gas to obtain the real-time mixed coal gas flow rate, wherein the lower calorific value of coal gas refers to the calorific value when water vapor in its combustion products remains in a gaseous state.

[0059] In this optional implementation, the preset fire drop time is the maturation time of the coke cake in the carbonization chamber obtained based on actual experience, and the range value of the preset time range can be set based on development requirements.

[0060] In this optional implementation, the preset vertical fire channel temperature is the temperature of the vertical fire channel obtained based on actual experience, and the range value of the preset temperature range can be set based on development requirements.

[0061] In this optional implementation, when it is detected that the time difference between the mature fire drop time and the preset fire drop time is within the preset time range and the temperature difference between the actual measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range, it is determined that the real-time mixed gas flow rate does not need to be adjusted, and the mixed gas output to the coke oven can be directly controlled based on the real-time mixed gas flow rate.

[0062] Optionally, when the real-time mixed gas flow needs to be adjusted, the real-time mixed gas flow can be adjusted by a regulating valve on the pipeline before the actual coke oven enters the small flue, and the adjustment amount of the real-time mixed gas flow can be obtained based on the temperature difference and / or time difference.

[0063] The method for determining the mixed gas flow rate provided by this optional implementation method first calculates the real-time mixed gas flow rate based on the real-time coking heat consumption; secondly, detects whether the time difference between the mature fire drop time and the preset fire drop time is within the preset time range; thirdly, in response to detecting that the time difference is within the preset time range, detects whether the temperature difference between the actual measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; finally, in response to detecting that the temperature difference is within the preset temperature range, outputs the real-time mixed gas flow rate to the coke oven, thereby, by analyzing and judging the mature fire drop time and the actual measured temperature of the vertical fire channel, the real-time mixed gas flow rate output to the coke oven is determined, thereby improving the accuracy of the mixed media flow rate output to the coke oven.

[0064] Optionally, the above-mentioned determination of the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature flame drop time and the actually measured temperature of the vertical fire channel also includes: in response to detecting that the time difference is within a preset time range, detecting whether the temperature difference between the actually measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within a preset temperature range; in response to detecting that the temperature difference is not within the preset temperature range, adjusting the real-time mixed gas flow rate based on the temperature difference to obtain the temperature-adjusted mixed gas flow rate; and outputting the temperature-adjusted mixed gas flow rate to the coke oven.

[0065] In some optional implementations of the present disclosure, the above-mentioned determination of the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire fall time and the actually measured temperature of the vertical fire channel also includes: in response to detecting that the time difference is not within the preset time range, detecting whether the temperature difference between the actually measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; in response to detecting that the temperature difference is within the preset temperature range, adjusting the real-time mixed gas flow rate based on the time difference to obtain a first adjusted mixed gas flow rate; and outputting the first adjusted mixed gas flow rate to the coke oven.

[0066] In this optional implementation, when the mature fire-falling time is longer than the preset fire-falling time, the real-time mixed gas flow rate needs to be increased; when the mature fire-falling time is shorter than the preset fire-falling time, the real-time mixed gas flow rate needs to be reduced.

[0067] The above-mentioned adjustment of the real-time mixed gas flow rate based on the time difference to obtain the first adjusted mixed gas flow rate includes: in response to the time difference being greater than zero and the time difference being greater than a certain positive multiple of the time step value, increasing the real-time mixed gas flow rate by the flow step value of the positive multiple to obtain the first adjusted mixed gas flow rate, wherein the flow step value is the flow value corresponding to the time step value, and in order to facilitate the adjustment of the real-time mixed gas flow rate, adjustment units—flow step value and time step value—are set for the real-time mixed gas flow rate.

[0068] Optionally, adjusting the real-time mixed gas flow rate based on the time difference to obtain the first adjusted mixed gas flow rate includes: in response to the time difference being less than zero and the time difference being less than a certain negative multiple of the time step value, reducing the real-time mixed gas flow rate by the flow step value of the negative multiple to obtain the first adjusted mixed gas flow rate,

[0069] The method for determining the mixed gas flow rate output to the coke oven provided by this optional implementation method, when it is detected that the time difference is not within the preset time range and the temperature difference is within the preset temperature range, adjusts the real-time mixed gas flow rate based on the time difference to obtain the first adjusted mixed gas flow rate, thereby providing a reliable implementation method for obtaining the mixed gas flow rate output to the coke oven and improving the reliability of obtaining the mixed gas flow rate output to the coke oven.

[0070] In some optional implementations of the present disclosure, the above-mentioned determination of the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire drop time and the actually measured temperature of the vertical fire channel also includes: in response to detecting that the time difference is not within the preset time range, detecting whether the temperature difference between the actually measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; in response to detecting that the temperature difference is not within the preset temperature range, adjusting the real-time mixed gas flow rate based on the time difference and the temperature difference to obtain a second adjusted mixed gas flow rate; and outputting the second adjusted mixed gas flow rate to the coke oven.

[0071] In this optional implementation method, when the mature fire fall time is longer than the preset fire fall time, the real-time mixed gas flow rate needs to be increased; when the mature fire fall time is shorter than the preset fire fall time, the real-time mixed gas flow rate needs to be reduced; when the actual measured temperature of the vertical fire channel is lower than the preset temperature of the vertical fire channel, the real-time mixed gas flow rate needs to be increased; when the actual measured temperature of the vertical fire channel is higher than the preset temperature of the vertical fire channel, the real-time mixed gas flow rate needs to be reduced.

[0072] The above-mentioned adjusting the real-time mixed gas flow rate based on the time difference and the temperature difference to obtain the second adjusted mixed gas flow rate includes: obtaining the adjusted flow rate based on the time difference and the temperature difference; increasing or decreasing the real-time mixed gas flow rate by the absolute value of the adjusted flow rate to obtain the second adjusted mixed gas flow rate. The adjusted flow rate can be obtained by a pre-trained flow adjustment model, which determines the relationship between the time difference, the temperature difference and the adjusted flow rate based on multiple samples, and gives the adjustment direction (such as increase or decrease).

[0073] The method for determining the mixed gas flow rate output to the coke oven provided by this optional implementation method adjusts the real-time mixed gas flow rate based on the time difference and the temperature difference when it detects that the time difference is not within the preset time range and the temperature difference is not within the preset temperature range, so as to obtain the second adjusted mixed gas flow rate, thereby providing another reliable implementation method for obtaining the mixed gas flow rate output to the coke oven and improving the reliability of obtaining the mixed gas flow rate output to the coke oven.

[0074] In some optional implementations of the present disclosure, the above-mentioned mature fire drop time is a corrected fire drop time, and the mature fire drop time is obtained by the following steps: obtaining the raw gas temperature; obtaining the mature fire drop time based on the raw gas temperature and the corrected fire drop time of the previous round; obtaining the coke cake surface temperature; based on the coke cake surface temperature, correcting the mature fire drop time to obtain the corrected fire drop time of the next round.

[0075] In this optional implementation, Figure 5 The fire drop management model determines the appropriate mature fire drop time. Specifically, the fire drop management model determines the relationship between the time when the raw gas temperature reaches the highest temperature point and the actual fire drop time through comparative tests. Based on this calculation, the actual fire drop time of each carbonization chamber can be given. At the same time, the fire drop time is corrected according to the difference between the measured coke cake surface temperature and the theoretical temperature and the comprehensive analysis of coke indicators. The fire drop management model is a management method that directly takes product quality as the object, which can intuitively and quantitatively measure the maturity of coke cakes and ensure that the coke produced meets the requirements.

[0076] The method for obtaining the mature fire drop time provided by this optional implementation method obtains the mature fire drop time based on the raw gas temperature and the corrected fire drop time of the previous round; based on the obtained coke cake surface temperature, the mature fire drop time is corrected to obtain the corrected time for the next round, providing a reliable implementation method for obtaining the mature fire drop time for the next round.

[0077] In order to obtain an accurate mixed gas flow rate, in a specific example of the present disclosure, the execution subject on which the coke oven intelligent thermal control method of the present disclosure runs can be a subject including multiple control modules, such as Figure 5 As shown, the execution body includes: a single combustion chamber automatic control model and a simulation module, such as Figure 5 As shown, the single combustion chamber automatic control model receives the real-time coking heat consumption obtained by the simulation module, the mature fire fall time obtained by the fire fall management model, and the measured temperature of the vertical fire channel obtained by collecting the temperature in the coke oven. The gas flow of the single combustion chamber is calculated by the real-time coking heat consumption, and the difference between the measured temperature of the vertical fire channel and the standard vertical fire channel temperature (a temperature determined according to production experience) is analyzed. It is analyzed whether the mature fire fall time is within a reasonable range, and the gas flow of the single combustion chamber is adjusted using the intelligent fuzzy control algorithm (such as Figure 5 The simulation module is used to establish a physical model of two groups of vertical fire channels in the coke oven and a carbonization chamber between the two groups of vertical fire channels, and obtain the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes based on the mathematical model and the physical model. It should be noted that when the coal quality and the working conditions of the coke oven are different, the real-time coking heat consumption obtained by the simulation module is different.

[0078] Optionally, the single combustion chamber automatic control model can also adjust and correct the target suction value according to the oxygen content of the branch flue, and adjust the suction size of the branch flue through the suction model and the heating gas flow (not shown in the figure).

[0079] The intelligent fuzzy control algorithm selects coking heat consumption, fire drop time, and measured temperature of the vertical fire channel as control variables. Through complex domain segmentation and function selection, the control rules are derived to obtain the control results. The obtained control results can be applied to the control of nonlinear, time-varying, and lagging systems such as coke oven intelligent heating.

[0080] The main control value of the executive body is the real-time coking heat consumption, which is a dynamic value obtained by numerical simulation. The gas flow can be basically adjusted based on this data. The fire fall management model has a certain lag, and it and the measured temperature of the vertical fire channel are auxiliary measures to correct the real-time coking heat consumption within a certain range.

[0081] Further references Figure 6As an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of a coke oven intelligent thermal control device. Figure 1 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0082] like Figure 6 As shown, the coke oven intelligent thermal control device 600 provided in this embodiment includes: a modeling unit 601, a obtaining unit 602, a determining unit 603, and an output unit 604. Among them, the above-mentioned modeling unit 601 can be configured to establish a physical model of two groups of vertical fire channels in the coke oven and the carbonization chamber between the two groups of vertical fire channels. The above-mentioned obtaining unit 602 can be configured to obtain the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes based on the mathematical model and the physical model. The above-mentioned determination unit 603 can be configured to determine the mixed coal gas flow rate output to the coke oven based on the real-time coking heat consumption, the mature fire falling time and the measured temperature of the vertical fire channel. The above-mentioned output unit 604 can be configured to output the mixed coal gas to the coke oven based on the mixed coal gas flow rate.

[0083] In this embodiment, in the coke oven intelligent thermal control device 600, the specific processing of the modeling unit 601, the obtaining unit 602, the determining unit 603, and the output unit 604 and the technical effects thereof can be referred to respectively. Figure 1 The relevant descriptions of step 101, step 102, step 103, and step 104 in the corresponding embodiment are not repeated here.

[0084] In some embodiments of the present disclosure, the above-mentioned modeling unit 601 is configured to: establish two combustion chambers respectively, each combustion chamber has a group of vertical fire channels, and each group of vertical fire channels has an ascending airflow fire channel and a descending airflow fire channel respectively; establish refractory materials around the two combustion chambers, and a carbonization chamber between the two combustion chambers, so that the vertical fire channels of the two combustion chambers are respectively located on both sides of the carbonization chamber.

[0085] In some embodiments of the present disclosure, the above-mentioned obtaining unit 602 is configured to: establish a mathematical model of the combustion process in the combustion chamber and the coking process in the carbonization chamber in the physical model; based on the mathematical model, simulate the heat flow cloud map of the heat energy transferred from the combustion chamber to the carbonization chamber; based on the heat flow cloud map, calculate and obtain a curve graph of the heat flow rate of the carbonization chamber varying with the coking time; based on the curve graph, determine the real-time coking heat consumption of the coal in the carbonization chamber varying with the coking time.

[0086] In some embodiments of the present disclosure, the above-mentioned determination unit 603 is configured to: calculate the real-time mixed gas flow rate based on the real-time coking heat consumption; detect whether the time difference between the mature fire drop time and the preset fire drop time is within the preset time range; in response to detecting that the time difference is within the preset time range, detect whether the temperature difference between the actual measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; in response to detecting that the temperature difference is within the preset temperature range, output the real-time mixed gas flow rate to the coke oven.

[0087] In some embodiments of the present disclosure, the above-mentioned determination unit 603 is configured to: in response to detecting that the time difference is not within the preset time range, detect whether the temperature difference between the actual measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; in response to detecting that the temperature difference is within the preset temperature range, adjust the real-time mixed gas flow rate based on the time difference to obtain a first adjusted mixed gas flow rate; and output the first adjusted mixed gas flow rate to the coke oven.

[0088] In some embodiments of the present disclosure, the above-mentioned determination unit 603 is configured to: in response to detecting that the time difference is not within the preset time range, detect whether the temperature difference between the actual measured temperature of the vertical fire channel and the preset vertical fire channel temperature is within the preset temperature range; in response to detecting that the temperature difference is not within the preset temperature range, adjust the real-time mixed gas flow rate based on the time difference and the temperature difference to obtain a second adjusted mixed gas flow rate; and output the second adjusted mixed gas flow rate to the coke oven.

[0089] In some embodiments of the present disclosure, the mature fire drop time is a corrected fire drop time, and the mature fire drop time is corrected by the following correction unit: the correction unit is configured to: obtain the raw gas temperature; obtain the mature fire drop time based on the raw gas temperature and the corrected fire drop time of the previous round; obtain the coke cake surface temperature; correct the mature fire drop time based on the coke cake surface temperature to obtain the corrected fire drop time of the next round.

[0090] In the coke oven intelligent thermal control device provided in the embodiment of the present disclosure, first, the modeling unit 601 establishes a physical model of two groups of vertical fire channels in the coke oven and the carbonization chamber between the two groups of vertical fire channels; secondly, the obtaining unit 602 obtains the real-time coking heat consumption of the coal in the carbonization chamber as the coking time changes based on the mathematical model and the physical model; then, the determination unit 603 determines the mixed coal gas flow output to the coke oven based on the real-time coking heat consumption, the mature fire falling time and the measured temperature of the vertical fire channel; finally, the output unit 604 outputs the mixed coal gas to the coke oven based on the mixed coal gas flow. Thus, the real-time coking heat consumption is obtained by simulating the combustion chamber and the carbonization chamber, and the real-time coking heat consumption is applied to the mixed coal gas flow control, so as to obtain a more accurate means of regulating the mixed coal gas flow, thereby reducing energy consumption, reducing carbon and pollutant emissions, improving coke quality and reducing costs.

[0091] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0092] Figure 7 A schematic block diagram of an example electronic device 700 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their modes are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0093] like Figure 7 As shown, the device 700 includes a computing unit 701, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0094] A number of components in the device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0095] The computing unit 701 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 701 performs the various methods and processes described above, such as the coke oven intelligent thermal control method. For example, in some embodiments, the coke oven intelligent thermal control method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the coke oven intelligent thermal control method described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the coke oven intelligent thermal control method in any other appropriate manner (e.g., by means of firmware).

[0096] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0097] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable coke oven intelligent thermal control device, so that when the program code is executed by the processor or controller, the mode / operation specified in the flow chart and / or block diagram is implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine as an independent software package and partially on a remote machine, or entirely on a remote machine or server.

[0098] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0099] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0100] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0101] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0102] The foregoing description of specific exemplary embodiments of the present disclosure is for the purpose of illustration and demonstration. These descriptions are not intended to limit the present disclosure to the precise form disclosed, and it is clear that many changes and variations can be made based on the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present disclosure and its practical application, so that those skilled in the art can realize and utilize various different exemplary embodiments of the present disclosure and various different selections and changes. The scope of the present disclosure is intended to be defined by the claims and their equivalents.

Claims

1. A coke oven intelligent thermal control method, characterized in that: The method comprises: Establishing a physical model of two groups of vertical fire channels in a coke oven and a carbonization chamber between the two groups of vertical fire channels; Based on the mathematical model and the physical model, the real-time coking heat consumption of the coal in the carbonization chamber as it changes with the coking time is obtained; Determining the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire fall time and the measured temperature of the vertical fire channel; Based on the mixed gas flow rate, the mixed gas is output to the coke oven.

2. The method according to claim 1, wherein: The physical model of two groups of vertical fire channels in a coke oven and the carbonization chamber between the two groups of vertical fire channels includes: Two combustion chambers are respectively established, each combustion chamber has a set of vertical fire channels, and each set of vertical fire channels has an ascending airflow fire channel and a descending airflow fire channel; Refractory materials around the two combustion chambers and a carbonization chamber between the two combustion chambers are built so that the vertical fire channels of the two combustion chambers are located on both sides of the carbonization chamber respectively.

3. The method according to claim 1, wherein: Based on the mathematical model and the physical model, the real-time coking heat consumption of the coal in the carbonization chamber that changes with the coking time includes: Establish mathematical models of combustion process in combustion chamber and coking process in carbonization chamber in physical model; Based on the mathematical model, simulating a heat flow rate cloud diagram of heat energy transferred from the combustion chamber to the carbonization chamber; Based on the heat flow rate cloud diagram, a curve diagram of the heat flow rate of the carbonization chamber changing with the coking time is calculated; Based on the curve chart, the real-time coking heat consumption of the coal in the carbonization chamber as it changes with the coking time is determined.

4. The method according to claim 1, wherein: The determining of the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire fall time and the measured temperature of the vertical fire channel comprises: Based on the real-time coking heat consumption, a real-time mixed coal gas flow rate is calculated; Detect whether the time difference between the mature fire fall time and the preset fire fall time is within the preset time range; In response to detecting that the time difference is within a preset time range, detecting whether a temperature difference between the actually measured temperature of the vertical fire channel and the preset temperature of the vertical fire channel is within a preset temperature range; In response to detecting that the temperature difference is within a preset temperature range, the real-time mixed coal gas flow rate is output to the coke oven.

5. The method according to claim 4, wherein: The step of determining the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire fall time and the measured temperature of the vertical fire channel further comprises: In response to detecting that the time difference is not within the preset time range, detecting whether the temperature difference between the actually measured temperature of the vertical fire channel and the preset temperature of the vertical fire channel is within the preset temperature range; In response to detecting that the temperature difference is within a preset temperature range, adjusting the real-time mixed coal gas flow rate based on the time difference to obtain a first adjusted mixed coal gas flow rate; The first adjusted mixed coal gas flow rate is output to the coke oven.

6. The method according to claim 4, wherein: The step of determining the mixed gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire fall time and the measured temperature of the vertical fire channel further comprises: In response to detecting that the time difference is not within the preset time range, detecting whether the temperature difference between the actually measured temperature of the vertical fire channel and the preset temperature of the vertical fire channel is within the preset temperature range; In response to detecting that the temperature difference is not within a preset temperature range, adjusting the real-time mixed gas flow rate based on the time difference and the temperature difference to obtain a second adjusted mixed gas flow rate; The second adjusted mixed coal gas flow rate is output to the coke oven.

7. The method according to claim 1, wherein: The mature fire fall time is the corrected fire fall time, and the mature fire fall time is obtained by the following steps: Get the raw gas temperature; Based on the raw gas temperature and the corrected fire fall time of the previous round, a mature fire fall time is obtained; Get the coke cake surface temperature; Based on the coke cake surface temperature, the mature fire drop time is corrected to obtain the next round of corrected fire drop time.

8. A coke oven intelligent thermal control device, characterized in that: The device comprises: A modeling unit is configured to establish a physical model of two groups of vertical fire channels in a coke oven and a carbonization chamber between the two groups of vertical fire channels; An obtaining unit is configured to obtain the real-time coking heat consumption of the coal in the carbonization chamber as it changes with the coking time based on the mathematical model and the physical model; A determination unit is configured to determine the mixed coal gas flow rate output to the coke oven based on the real-time coking heat consumption, mature fire fall time and the measured temperature of the vertical fire channel; The output unit is configured to output the mixed coal gas to the coke oven based on the mixed coal gas flow rate.

9. An electronic device, characterized in that: include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 7.

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