Optimization method, system and equipment for pressure control model of large coke oven collector

Abstract

The application discloses a large coke oven header pressure control model optimization method, system and equipment, which is applied to a large coke oven controller and comprises the following steps: obtaining and analyzing influence factors of pressure fluctuation of the coke oven header in a production process; configuring a flap control model according to the influence factors to control the output of the optimized result of the header pressure; the flap control model comprises a set value adaptive model, which is used for automatically identifying different production operation stages and automatically adjusting the header pressure set value; a pipe network balance control model, which is used for adjusting the relationship between the pressure and the opening degree of the header corresponding to different oven numbers when the suction force distribution of different ovens is uneven, so as to balance the suction force of different ovens; and a control output rate model, which is used for stably adjusting the flap control change rate in response to the header fluctuation. In this way, different header pressure steady-state values are given according to a process operation process, and the optimization control of the header in the coke oven production is realized.

Description

Technical Field

[0001] This invention relates to the field of industrial automation control technology, and in particular to a method, system and equipment for optimizing the pressure control model of a large coke oven gas collecting pipe. Background Technology

[0002] Coking production is characterized by high carbon emissions and energy consumption, with stringent environmental and economic performance requirements. Traditional coking enterprises have relatively rudimentary production control and management practices, leaving significant room for improvement in the optimization and control of the gas collecting pipe. Stable control of gas collecting pipe pressure during coke oven production has always been a technological challenge for coking enterprises. Due to the complexity of influencing factors, frequent pressure fluctuations, and significant coupling interference, it is highly susceptible to smoke and fire leaks from the furnace roof, severely impacting the enterprise's environmental protection and safety management. Coke oven gas collecting pipe pressure is a crucial parameter in coking production, playing a vital role in environmental protection, coke oven lifespan, coke quality, chemical product recovery rate, and safe production. Therefore, adopting effective technical measures to balance and stabilize gas collecting pipe pressure can bring significant economic and social benefits to enterprises. Furthermore, responding to the national carbon neutrality policy and introducing new technologies and algorithms to achieve optimized gas collecting pipe control is of significant industry development importance.

[0003] Existing methods for coke oven production with PROven systems use simple PID control for the flapper at the gas collecting pipe. Automatic pressure control of the coke oven gas collecting pipe has always been a challenge and pain point in the industry. This is mainly because the gas collecting pipe pressure model is characterized by multiple disturbances, strong coupling, and nonlinearity, making it difficult to adapt to long-term, safe, and stable operation using conventional PID control methods. Many domestic professional companies have successively developed fuzzy control, expert control, and advanced control solutions and products based on the process characteristics of coking production. The existing technology has the following drawbacks: it cannot adjust the pressure value according to different production stages. During the coal charging process in coke oven production, unstable gas overflow from a single orifice in the PROven system can lead to large pressure fluctuations at the gas collecting pipe. Prolonged overpressure can cause smoke and fire from the furnace top. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and equipment for optimizing the pressure control model of the gas collecting pipe in a large coke oven. This addresses the problem that fixed-value adjustment of the PID (Pressure Injection Diameter) cannot adjust the pressure value according to different production stages. By providing different steady-state pressure values ​​of the gas collecting pipe according to the process operation flow during coke oven production, adjusting the rate of change of the gas collecting pipe flap adjustment, and regulating the pipe network balance, the invention achieves optimized control of the gas collecting pipe in coke oven production, providing a foundation for stabilizing the gas collecting pipe pressure.

[0005] This invention provides an optimization method for a pressure control model of gas collecting pipes in a large coke oven, applicable to a large coke oven controller. The large coke oven includes at least multiple carbonization chambers and combustion chambers adjacent to the carbonization chambers. The multiple carbonization chambers are connected to multiple gas collecting pipes via furnace openings, and these pipes converge into a main pipe leading to a flap.

[0006] Its model optimization method includes the following steps:

[0007] The factors influencing pressure fluctuations caused by the coke oven gas collecting pipe during the production process were identified and analyzed.

[0008] Based on the aforementioned influencing factors, configure the flap control model to control the optimized result of the gas collection pipe pressure output;

[0009] The flap control model includes a setpoint adaptive model for automatically identifying different production operation stages and automatically adjusting the setpoint of the gas collecting pipe pressure; a pipeline balance control model for adjusting the relationship between the pressure and opening of the gas collecting pipe corresponding to different coke oven numbers to balance the suction of different coke oven numbers when the suction distribution of different furnace numbers is uneven; and a control output rate model for responding to the stable adjustment of the flap control change rate when the gas collecting pipe fluctuates.

[0010] Preferably, the setpoint adaptive model includes:

[0011] The system identifies and locates the coal loading and depressurization stage, receives a coal loading start signal, and triggers the pressure setting, which switches from a first preset pressure setting to a second preset pressure setting.

[0012] During this phase, the coal charging signal for all furnace numbers remains energized and held until the coal charging end signal disappears. The timer starts counting when the coal charging signal drops, with a duration of TI M_, ensuring that the preset time continues after the coal charging ends.

[0013] Preferably, the setpoint adaptive model further includes:

[0014] The system identifies and locates the coking and pressurization stage. When the timing time TI M_> the first preset time, the pressure setting starts to increase, changing from the second preset pressure setting value to the third preset pressure setting value.

[0015] After continuous operation, when the timing time TI M_ > the second preset time, the pressure setting is increased back to the first preset time, and after a short period of pressure holding, the timing TI M_ is reset to zero.

[0016] Preferably, the pipeline network balance control model includes:

[0017] If the flap adjustment of furnace #1 fails, the flap opening of furnace #1 is set to a controllable state, and the pressure adjustment space of the gas collecting pipe is configured. A command to reduce suction is sent to furnace #1 and compensated to furnace #2, so that the flap opening of furnace #1 is reduced; and / or,

[0018] If the flap adjustment of furnace #2 fails, the flap opening of furnace #2 is set to a controllable state, and the pressure adjustment space of the gas collecting pipe is configured. A command to reduce suction is sent to furnace #2 and compensated to furnace #1, so that the flap opening of furnace #2 is reduced.

[0019] Preferably, the process of acquiring and analyzing the influencing factors of pressure fluctuations caused by the coke oven gas collecting pipe during production includes:

[0020] The coke oven and cooling drum are arranged in an asymmetrical pattern, resulting in an imbalance in the suction force generated by the same fan for each gas collecting pipe; and / or,

[0021] A pressure regulating device is installed at the riser pipe of the carbonization chamber. The control mode of the pressure regulating device is different at different production stages, resulting in different output raw coal gas flow rates; and / or,

[0022] The pressure steady-state requirements differ at different stages of the production process. The pressure control steady-state value is highest during the non-coal loading stage and lowest during the coal loading stage.

[0023] The production process refers to the process where raw coal gas generated in the coke oven passes through the carbonization chamber to the riser pipe, undergoes automatic pressure regulation by the PRoven system at the riser pipe, is output and collected in the gas collection tanks of each section, then to the gas collection pipe of this section, passes through the flapper to the cooling drum section and the coal gas purification section, and the processed coal gas is supplied externally.

[0024] This invention provides an optimization system for the pressure control model of gas collecting pipes in a large coke oven. The large coke oven includes at least multiple carbonization chambers and combustion chambers adjacent to the multiple carbonization chambers. The multiple carbonization chambers are connected to multiple gas collecting pipes through furnace holes, and the multiple gas collecting pipes are combined into a main pipe leading to a flap.

[0025] Its optimization system includes:

[0026] The acquisition module is used to acquire and analyze the influencing factors of pressure fluctuations caused by the coke oven gas collecting pipe during the production process;

[0027] The optimization module is used to configure the flap control model according to the influencing factors to control the optimized result of the gas collection pipe pressure output;

[0028] The flap control model includes a setpoint adaptive model for automatically identifying different production operation stages and automatically adjusting the setpoint of the gas collecting pipe pressure; a pipeline balance control model for adjusting the relationship between the pressure and opening of the gas collecting pipe corresponding to different coke oven numbers to balance the suction of different coke oven numbers when the suction distribution of different furnace numbers is uneven; and a control output rate model for responding to the stable adjustment of the flap control change rate when the gas collecting pipe fluctuates.

[0029] Preferably, the setpoint adaptive model includes:

[0030] The system identifies and locates the coal loading and depressurization stage, receives a coal loading start signal, and triggers the pressure setting, which switches from a first preset pressure setting to a second preset pressure setting.

[0031] During this phase, the coal charging signal remains energized and held for all furnace numbers until the coal charging completion signal disappears. The timer starts counting down at the moment the coal charging signal falls, with a duration of TI M_, ensuring a preset time continues after coal charging is completed; and / or,

[0032] The system identifies and locates the coking and pressurization stage. When the timing time TI M_> the first preset time, the pressure setting starts to increase, changing from the second preset pressure setting value to the third preset pressure setting value.

[0033] After continuous operation, when the timing time TI M_ > the second preset time, the pressure setting is increased back to the first preset time, and after a short period of pressure holding, the timing TI M_ is reset to zero.

[0034] Preferably, it is applied to a large coke oven, the height of which is 7.63 meters.

[0035] Preferably, the large coke oven is charged by top charging or tamping.

[0036] The present invention provides a large coke oven gas collecting pipe pressure control model optimization device, which includes a memory and a processor. The memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, it implements the large coke oven gas collecting pipe pressure control model optimization method as described in the embodiments of the present invention.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The large coke oven gas collecting pipe pressure control model optimization method adopted in this invention provides a basis for stabilizing the gas collecting pipe pressure by adjusting the change rate of the gas collecting pipe flap adjustment and adjusting the pipeline balance according to the process operation flow of the coke oven production process. This achieves optimized control of the gas collecting pipe in coke oven production, provides a basis for stabilizing the gas collecting pipe pressure, and realizes stable pressure control at the gas collecting pipe. This contributes to environmental protection, coke oven life, coke quality, chemical product recovery rate and safe production in the coke oven production process.

[0039] This invention employs an optimized adjustment model for the flapper during coke oven production. When the single-hole overflow of gas in a large coke oven is unstable, leading to large fluctuations in pressure at the gas collecting pipe, the flapper of the gas collecting pipe is optimized and adjusted. The production site can accurately locate the start, end, and coking times. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the optimization method for the pressure control model of the gas collecting pipe of a large coke oven as described in Embodiment 1 of the present invention;

[0041] Figure 2 This is a flow direction diagram of raw coal gas in Embodiment 1 of the present invention. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] Example 1

[0044] like Figure 1 As shown, the present invention provides an optimization method for the pressure control model of a large coke oven gas collecting pipe, which is applied to a large coke oven controller. The large coke oven includes at least multiple carbonization chambers and combustion chambers adjacent to the multiple carbonization chambers. The multiple carbonization chambers are connected to multiple gas collecting pipes through furnace holes, and the multiple gas collecting pipes are combined into a main pipe leading to the flap.

[0045] Its model optimization method includes the following steps:

[0046] Step S1: Obtain and analyze the influencing factors of pressure fluctuations caused by the coke oven gas collecting pipe during the production process;

[0047] Step S2: Configure the flap control model according to the influencing factors to control the optimized result of the gas collection pipe pressure output;

[0048] The flap control model includes a setpoint adaptive model for automatically identifying different production operation stages and automatically adjusting the setpoint of the gas collecting pipe pressure; a pipeline balance control model for adjusting the relationship between the pressure and opening of the gas collecting pipe corresponding to different coke oven numbers to balance the suction of different coke oven numbers when the suction distribution of different furnace numbers is uneven; and a control output rate model for responding to the stable adjustment of the flap control change rate when the gas collecting pipe fluctuates.

[0049] Those skilled in the art will understand that the coke oven used in this embodiment consists of many furnace chambers arranged side by side with refractory materials. The furnace chamber in which coal is converted into coke is called the carbonization chamber, which is used to release volatile coal gas. The furnace chamber for combustion and heating is called the combustion chamber. The combustion chamber and the carbonization chamber are arranged adjacent to each other with intervals. For example, each coke oven includes at least 2 / 3 sections of flaps, 1 set of 1# / 2# furnaces, and 4 / 6 sections of gas collecting pipes, which are used to collect coal gas. Coking production mainly refers to two processes: coke oven production and chemical production. In the coke oven, different types of coal are mixed in a specific ratio and then loaded into the carbonization chamber for dry distillation over a certain period. This process produces three products: coke, coal gas, and chemical byproducts. The coke is quenched, screened, and cooled to become a finished product for sale. Chemical byproducts are raw coal gas that has undergone a series of purification and separation processes to form chemical raw materials such as tar, sulfur, ammonia, and crude benzene, which can be further processed or sold directly. The remaining raw coal gas after processing to remove chemical byproducts is coal gas, which can be used by the company itself or sold directly. Gas collecting pipe pressure: During coke oven production, the coke oven piping equipment that collects the raw coal gas from each carbonization chamber is called the coke oven gas collecting pipe. The pressure of the raw coal gas at the gas collecting pipe is called the gas collecting pipe pressure.

[0050] Based on the coke oven production process, this invention provides different steady-state pressure values ​​for the gas collecting pipe, adjusts the opening of the gas collecting pipe flap according to different values, and provides a coke oven pipeline balance adjustment. It also provides a control output change value for the corresponding adjustment rate based on the deviation between the real-time pressure value and the steady-state value of the gas collecting pipe, responding to rapid changes in the gas collecting pipe pressure.

[0051] The logic of this method is as follows:

[0052] In the coke oven production process, the raw gas generated in the coke oven flows through the carbonization chamber to the riser pipe. At the riser pipe, it undergoes automatic pressure regulation by the PRoven system, and after being output, it is collected in the gas collection tanks of each section, then flows through the gas collection pipe of that section. After passing through manual and automatic flaps, it reaches the next section, namely the cooling drum section (primary cooler, electrostatic precipitator, blower, etc.) and the gas purification section. The treated gas is then supplied externally, such as... Figure 2 As shown.

[0053] Based on the process and the above diagram, the factors affecting the pressure fluctuation of the gas collecting pipe are as follows:

[0054] 1) The coke oven and cooling drum are arranged in an asymmetrical pattern, and the suction force generated by the same fan is unbalanced for each gas collecting pipe;

[0055] 2) Each carbonization chamber riser pipe of the PRoven system is equipped with a pressure regulating device. The control mode of the regulating device is different at different production stages, and the output raw coal gas flow rate also varies greatly, which is one of the important factors causing pressure fluctuations in the gas collecting pipe.

[0056] 3) The required steady-state pressure varies at different stages of the production process, especially during the coal charging and non-charging stages, where the pressure requirements differ significantly. The steady-state pressure control value is highest during non-charging and lowest during coal charging. Those skilled in the art will understand that the PROven system, short for Pressure Regulated Oven System, is a uniquely designed system for the 7.63m coke oven, specifically designed to address the overflow of gas from a single-hole coking chamber.

[0057] Specifically, the setpoint adaptive model includes:

[0058] The system identifies and locates the coal loading and depressurization stage, receives a coal loading start signal, and triggers the pressure setting, which switches from a first preset pressure setting to a second preset pressure setting.

[0059] During this phase, the coal charging signal for all furnace numbers remains energized and held until the coal charging end signal disappears. The timer starts counting when the coal charging signal drops, with a duration of TI M_, ensuring that the preset time continues after the coal charging ends.

[0060] Specifically, the setpoint adaptive model further includes:

[0061] The system identifies and locates the coking and pressurization stage. When the timing time TI M_> the first preset time, the pressure setting starts to increase, changing from the second preset pressure setting value to the third preset pressure setting value.

[0062] After continuous operation, when the timing time TI M_ > the second preset time, the pressure setting is increased back to the first preset time, and after a short period of pressure holding, the timing TI M_ is reset to zero.

[0063] Those skilled in the art will understand that, in various embodiments of this application, the method for setting the flap control model is as follows:

[0064] 1) Setpoint Adaptive Model

[0065] Analysis of the process revealed that the main disturbances to the gas collecting pipe pressure occur during the coal loading and unloading phases, with deviations between the pressure control values ​​and those used during the non-loading phases. Therefore, if the same pressure setpoint is not applied across all phases, pressure may be too high in some phases, leading to smoke, while pressure may be too low, resulting in negative pressure, in others. Automatically identifying and adjusting the gas collecting pipe pressure setpoint during different operating phases is therefore a key aspect of control optimization.

[0066] Coal charging and pressure reduction stage: The coal charging start signal triggers the pressure setting value P to switch from the first pressure setting value P1 to the second pressure setting value P2. Both P1 and P2 can be changed according to the actual setting. During the coal charging process of all furnace numbers in this stage, the coal charging signal is always in the energized and held state until the coal charging end signal of this stage disappears. At the same time as the falling edge of the coal charging signal appears, the timer starts counting, and the time is TI M_, thus ensuring that the preset time, such as one hour, continues after the coal charging ends.

[0067] Coking pressure boosting and holding stage: When the timing time TI M_ > the first preset time, such as 1 hour, the pressure setting starts to increase, changing from the second pressure setting value P2 to the third pressure setting value P3. P3 can also be changed according to the actual setting. After a period of time, when the timing time TI M_ > the second preset time, such as 2 hours, the pressure setting increases to P1 again. After a short period of pressure holding, the timing TI M_ is reset to zero. The above-mentioned first and second preset times can be changed according to the actual setting.

[0068] 2) Pipeline network balance control model

[0069] To mitigate pressure fluctuations in the gas collecting pipe caused by uneven suction in the gas pipeline network during gas collecting pipe control, a pipeline network balance control model is established as follows: During coke oven production, due to the actual layout of equipment pipelines, the distance between the main pipe junction and each section varies, resulting in uneven suction distribution between boilers #1 and #2. Assuming that during coal charging in boiler #1, if the flaps in each section of #1 remain at maximum opening, causing flap adjustment failure, a pipeline network suction balance control model is designed. When this occurs, the suction of boiler #1 is reduced to compensate boiler #2, thus lowering the flap opening of boiler #1 and providing a controllable flap opening for boiler #1, allowing for adjustable pressure regulation in the gas collecting pipe. Conversely, if the flap adjustment of boiler #2 fails, a controllable flap opening for boiler #2 is established, and the pressure regulation space of the gas collecting pipe is configured. A command to reduce suction is sent to boiler #2 and compensated to boiler #1, causing the flap opening of boiler #2 to decrease.

[0070] Those skilled in the art will understand that conventional coke oven production equipment consists of two coke ovens, with four or six gas collecting pipes. These multiple gas collecting pipes are combined into a single main pipe that enters the subsequent chemical production section. The gas overflowing from the coke oven carbonization chamber enters the pipeline, and the stability of the gas in the pipeline network before reaching the chemical production equipment can be referred to as pipeline network balance.

[0071] 3) Control output rate model

[0072] During different production stages of a coke oven, the different control modes of the monotonic equipment lead to significant variations in the output raw gas flow rate. At the same time, the steady-state pressure requirements for the gas collecting pipe differ greatly between the coal charging and non-coal charging stages. The control change rate of the flapper plate needs to be adjusted according to the deviation of the gas collecting pipe pressure from the steady-state pressure value. This allows for a rapid response when the gas collecting pipe fluctuates significantly and a stable adjustment when the pressure fluctuation is relatively small, preventing smoke and fire from escaping from the furnace top due to untimely flapper plate adjustments. It also eliminates gas collecting pipe pressure fluctuations caused by frequent flapper plate adjustments.

[0073] In various embodiments of this application, the large coke oven is charged with coal by top charging or tamping.

[0074] In various embodiments of this application, the present invention is applied to large coke ovens, wherein the height of the large coke oven is greater than or equal to 7 meters, preferably 7.63 meters. Those skilled in the art will understand that currently, a coke oven with a carbonization chamber exceeding 7 meters can be considered a large coke oven. In recent years, due to national environmental protection and enterprise capacity requirements, small coke ovens have been forcibly dismantled and replaced, and large coke ovens have become the replacement trend.

[0075] Automatic control of coke oven gas collecting pipe pressure has always been a challenge and pain point in the industry. This is mainly because the gas collecting pipe pressure model is characterized by multiple disturbances, strong coupling, and nonlinearity, making it difficult to adapt to long-term, safe, and stable operation using conventional PID control methods. Many domestic professional companies have successively developed fuzzy control, expert control, and advanced control solutions and products based on the process characteristics of coking production. Under certain conditions, these solutions meet the production process requirements of most coke oven types, such as common oven types like 4.3m, 5.5m, 6m, and 6.25m. This invention addresses the single-hole regulation of the carbonization chamber in large coke ovens, which offers some improvement over systems like the PRoven system. However, for new oven types and different layouts of coke oven cooling drums, the interference factors causing gas collecting pipe pressure fluctuations present unique challenges. Therefore, some new models and methods have been developed to adapt to these challenges.

[0076] Example 2

[0077] Based on the same concept, this invention provides an optimization system for the pressure control model of a large coke oven gas collecting pipe. The large coke oven includes at least multiple carbonization chambers and combustion chambers adjacent to the multiple carbonization chambers. The multiple carbonization chambers are connected to multiple gas collecting pipes through furnace holes, and the multiple gas collecting pipes are combined into a main pipe leading to a flap.

[0078] Its optimization system includes:

[0079] The acquisition module is used to acquire and analyze the influencing factors of pressure fluctuations caused by the coke oven gas collecting pipe during the production process;

[0080] The optimization module is used to configure the flap control model according to the influencing factors to control the optimized result of the gas collection pipe pressure output;

[0081] The flap control model includes a setpoint adaptive model for automatically identifying different production operation stages and automatically adjusting the setpoint of the gas collecting pipe pressure; a pipeline balance control model for adjusting the relationship between the pressure and opening of the gas collecting pipe corresponding to different coke oven numbers to balance the suction of different coke oven numbers when the suction distribution of different furnace numbers is uneven; and a control output rate model for responding to the stable adjustment of the flap control change rate when the gas collecting pipe fluctuates.

[0082] Based on the coke oven production process, this invention provides different steady-state pressure values ​​for the gas collecting pipe, adjusts the opening of the gas collecting pipe flap according to different values, and provides a coke oven pipeline balance adjustment. It also provides a control output change value for the corresponding adjustment rate based on the deviation between the real-time pressure value and the steady-state value of the gas collecting pipe, responding to rapid changes in the gas collecting pipe pressure.

[0083] Specifically, the setpoint adaptive model includes:

[0084] The system identifies and locates the coal loading and depressurization stage, receives a coal loading start signal, and triggers the pressure setting, which switches from a first preset pressure setting to a second preset pressure setting.

[0085] During this phase, the coal charging signal remains energized and held for all furnace numbers until the coal charging completion signal disappears. The timer starts counting down at the moment the coal charging signal falls, with a duration of TI M_, ensuring a preset time continues after coal charging is completed; and / or,

[0086] The system identifies and locates the coking and pressurization stage. When the timing time TI M_> the first preset time, the pressure setting starts to increase, changing from the second preset pressure setting value to the third preset pressure setting value.

[0087] After continuous operation, when the timing time TI M_ > the second preset time, the pressure setting is increased back to the first preset time, and after a short period of pressure holding, the timing TI M_ is reset to zero.

[0088] The specific principles and implementation methods of the above-mentioned pattern acquisition module and optimization module are as described in Embodiment 1 of this invention, and will not be repeated here.

[0089] In various embodiments of this application, the present invention is applied to a large coke oven, wherein the height of the large coke oven is greater than or equal to 7 meters, preferably 7.63 meters.

[0090] In various embodiments of this application, the large coke oven is charged with coal by top charging or tamping.

[0091] The present invention provides a large coke oven gas collecting pipe pressure control model optimization device, which includes a memory and a processor. The memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, it implements the large coke oven gas collecting pipe pressure control model optimization method as described in the embodiments of the present invention.

[0092] The optimization equipment for the pressure control model of the large coke oven gas collecting pipe can vary considerably due to differences in configuration or performance. It may include one or more central processing units (CPUs) and memory, and one or more storage media (e.g., one or more mass storage devices) for storing applications or data. The memory and storage media can be temporary or persistent storage. The program stored on the storage media may include one or more modules, each of which may include a series of instruction operations on the optimization equipment for the pressure control model of the large coke oven gas collecting pipe.

[0093] Furthermore, the processor can be configured to communicate with the storage medium and execute a series of instruction operations from the storage medium on the large coke oven gas collecting pipe pressure control model optimization device.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing a pressure control model of a large coke oven header, characterized in that, This invention is applied to a controller for large coke ovens, wherein the large coke oven includes at least multiple carbonization chambers and a combustion chamber adjacent to the multiple carbonization chambers. The multiple carbonization chambers are connected to multiple gas collecting pipes through furnace holes, and the multiple gas collecting pipes are converged into a main pipe leading to a flap. Its model optimization method includes the following steps: The factors influencing pressure fluctuations caused by the coke oven gas collecting pipe during the production process were identified and analyzed. Based on the aforementioned influencing factors, configure the flap control model to control the optimized result of the gas collection pipe pressure output; The flap control model includes a setpoint adaptive model for automatically identifying different production operation stages and automatically adjusting the setpoint of the gas collecting pipe pressure; a pipeline balance control model for adjusting the relationship between the pressure and opening of the gas collecting pipe corresponding to different coke oven numbers to balance the suction of different coke oven numbers when the suction distribution of different furnace numbers is uneven; and a control output rate model for responding to the stable adjustment of the flap control change rate when the gas collecting pipe fluctuates. The setpoint adaptive model includes: The system identifies and locates the coal loading and depressurization stage, receives a coal loading start signal, and triggers the pressure setting, which switches from a first preset pressure setting to a second preset pressure setting. During this phase, the coal charging signal for all furnace numbers remains energized and held until the coal charging end signal disappears. The timer starts counting when the coal charging signal drops, with a duration of TIM_, ensuring that the preset time continues after the coal charging ends.

2. The model optimization method for large coke oven header pressure control according to claim 1, wherein, The setpoint adaptive model also includes: The system identifies and locates the coking and pressurization stage. When the timing time TIM_> the first preset time, the pressure setting starts to increase, changing from the second preset pressure setting value to the third preset pressure setting value. After continuous operation, when the timing time TIM_> the second preset time, the pressure setting is increased back to the first preset time, and after a short period of pressure holding, the timing TIM_ is reset to zero.

3. The model optimization method for large coke oven header pressure control according to claim 1, wherein, The pipeline network balance control model includes: If the flap adjustment of furnace #1 fails, the flap opening of furnace #1 is set to a controllable state, and the pressure adjustment space of the gas collecting pipe is configured. A command to reduce suction is sent to furnace #1 and compensated to furnace #2, so that the flap opening of furnace #1 is reduced; and / or, If the flap adjustment of furnace #2 fails, the flap opening of furnace #2 is set to a controllable state, and the pressure adjustment space of the gas collecting pipe is configured. A command to reduce suction is sent to furnace #2 and compensated to furnace #1, so that the flap opening of furnace #2 is reduced.

4. The model optimization method for large coke oven header pressure control according to claim 1, wherein, The factors affecting pressure fluctuations caused by the coke oven gas collecting pipe during production include: The coke oven and cooling drum are arranged in an asymmetrical pattern, resulting in an imbalance in the suction force generated by the same fan for each gas collecting pipe; and / or, A pressure regulating device is installed at the riser pipe of the carbonization chamber. The control mode of the pressure regulating device is different at different production stages, resulting in different output raw coal gas flow rates; and / or, The pressure steady-state requirements differ at different stages of the production process. The pressure control steady-state value is highest during the non-coal loading stage and lowest during the coal loading stage. The production process refers to the process where raw coal gas generated in the coke oven passes through the carbonization chamber to the riser pipe, undergoes automatic pressure regulation by the PRoven system at the riser pipe, is output and collected in the gas collection tanks of each section, then to the gas collection pipe of this section, passes through the flapper to the cooling drum section and the coal gas purification section, and the processed coal gas is supplied externally.

5. A large coke oven header pressure control model optimization system, characterized by, The large coke oven includes at least multiple carbonization chambers and a combustion chamber adjacent to the multiple carbonization chambers. The multiple carbonization chambers are connected to multiple gas collecting pipes through furnace holes, and the multiple gas collecting pipes are combined into a main pipe leading to the flap. Its optimization system includes: The acquisition module is used to acquire and analyze the influencing factors of pressure fluctuations caused by the coke oven gas collecting pipe during the production process; The optimization module is used to configure the flap control model according to the influencing factors to control the optimized result of the gas collection pipe pressure output; The flap control model includes a setpoint adaptive model for automatically identifying different production operation stages and automatically adjusting the setpoint of the gas collecting pipe pressure; a pipeline balance control model for adjusting the relationship between the pressure and opening of the gas collecting pipe corresponding to different coke oven numbers to balance the suction of different coke oven numbers when the suction distribution of different furnace numbers is uneven; and a control output rate model for responding to the stable adjustment of the flap control change rate when the gas collecting pipe fluctuates. The setpoint adaptive model includes: The system identifies and locates the coal loading and depressurization stage, receives a coal loading start signal, and triggers the pressure setting, which switches from a first preset pressure setting to a second preset pressure setting. During this phase, the coal charging signal for all furnace numbers remains energized and held until the coal charging end signal disappears. The timer starts counting when the coal charging signal drops, with a duration of TIM_, ensuring that the preset time continues after the coal charging ends.

6. The model optimization system for large coke oven header pressure control of claim 5, wherein, The setpoint adaptive model also includes: The system identifies and locates the coking and pressurization stage. When the timing time TIM_> the first preset time, the pressure setting starts to increase, changing from the second preset pressure setting value to the third preset pressure setting value. After continuous operation, when the timing time TIM_> the second preset time, the pressure setting is increased back to the first preset time, and after a short period of pressure holding, the timing TIM_ is reset to zero.

7. The model optimization system for large coke oven header pressure control of claim 5, wherein, It is applied to a large coke oven, which is 7.63 meters high.

8. The model optimization system for large coke oven header pressure control of claim 5, wherein, The large coke oven is charged with coal by top charging or tamping.

9. A large coke oven header pressure control model optimization apparatus characterized by, The system includes a memory and a processor, wherein the memory stores computer-readable instructions, and the processor executes the computer-readable instructions to implement the optimization method for the pressure control model of the gas collecting pipe of a large coke oven as described in any one of claims 1 to 4.

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