Self-adaptive control method and device for gas synthesis furnace

Abstract

The invention discloses a self-adaptive control method and device for a gas synthesis furnace. The method comprises the following steps: acquiring first sampling information of input first gas, second sampling information of input second gas and third sampling information of output synthetic gas, acquiring a first load of the synthetic furnace obtained by the first mathematical model according to the first sampling information, acquiring a first gas ratio between the first gas and the second gas obtained by the second mathematical model according to the third sampling information, and predicting a first predicted flow and a second predicted flow of the first gas from different angles by utilizing the information, the larger value is used as the first given flow of the first gas, the third predicted flow and the fourth predicted flow of the second gas are predicted, and the smaller value is used as the second given flow of the second gas, so that the technical problem that potential safety hazards exist during synthesis of gas products in related technologies can be solved through an artificial intelligence mode; and the safety of synthesis gas production is improved.

Description

Technical Field

[0001] The present application relates to the field of chemical engineering control, and in particular, to an adaptive control method and device for a gas synthesis furnace. Background Art

[0002] This section is intended to provide a background or context to what is stated in the claims or specification, and no admission is made that what is described herein is prior art by inclusion in this section.

[0003] Hydrogen chloride (HCl) is usually synthesized by hydrogen (H 2 ) and chlorine (Cl 2 ) is achieved by reacting under specific conditions. Due to various reasons, the hydrogen chloride synthesis process in the chlor-alkali plant is prone to the situation where the ratio of chlorine and hydrogen deviates from the process conditions. Under normal circumstances, chlorine and hydrogen generate hydrogen chloride in a molar ratio of 1:1. When chlorine is excessive, it will cause very great harm (chlorine is toxic, corrosive and explosive). Excessive chlorine, on the one hand, is easy to form explosive gas, threatening the safe production of the entire system. On the other hand, excessive chlorine enters the subsequent vinyl chloride conversion section and generates chloroacetylene with acetylene gas in the mixer, which poses an explosion risk.

[0004] Similarly, in sulfur trioxide SO 3 (by sulfur dioxide SO 2 and oxygen O 2 Synthesis), phosgene COCl 2 (composed of carbon monoxide CO and chlorine Cl 2 Synthesis), phosphate H 3 PO 4 (by phosphine PH 3 and oxygen O 2 Similar problems also exist in the synthesis of products such as coal (synthesis from oxygen and coal) and coal gas (synthesized from oxygen and coal).

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present application provide an adaptive control method and device for a gas synthesis furnace, so as to at least solve the technical problem in the related art that there are potential safety hazards in the synthesis of gas products.

[0007] According to one aspect of an embodiment of the present application, an adaptive control method for a gas synthesis furnace is provided, comprising: obtaining first sampling information of a first gas input into a first inlet pipe, second sampling information of a second gas input into a second inlet pipe, and third sampling information of a synthesis gas output from an outlet pipe, wherein the synthesis gas is synthesized by the first gas and the second gas in the synthesis furnace, and the production safety of the second gas is lower than that of the first gas; obtaining a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; determining a first predicted flow rate and a second predicted flow rate of the first gas by using the first load, the second sampling information, and the first gas ratio, taking the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, and determining a third predicted flow rate and a fourth predicted flow rate of the second gas by using the first load, the first sampling information, and the first gas ratio, taking the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas.

[0008] According to another aspect of an embodiment of the present application, an adaptive control device for a gas synthesis furnace is also provided, comprising: an acquisition unit, used to acquire first sampling information of a first gas input into a first inlet pipe, second sampling information of a second gas input into a second inlet pipe, and third sampling information of a synthesis gas output from an outlet pipe, wherein the synthesis gas is synthesized in a synthesis furnace by synthesizing the first gas and the second gas, and the production safety of the second gas is lower than that of the first gas; a prediction unit, used to acquire a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; a control unit, used to determine a first predicted flow rate and a second predicted flow rate of the first gas using the first load, the second sampling information, and the first gas ratio, and use the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, and use the first load, the first sampling information, and the first gas ratio to determine a third predicted flow rate and a fourth predicted flow rate of the second gas, and use the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas.

[0009] According to another aspect of an embodiment of the present application, a storage medium is further provided, which includes a stored program, and the above method is executed when the program is run.

[0010] According to another aspect of an embodiment of the present application, an electronic device is further provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above method through the computer program.

[0011] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps of any one of the embodiments of the above method.

[0012] In an embodiment of the present application, first sampling information of a first gas input into a first inlet pipe, second sampling information of a second gas input into a second inlet pipe, and third sampling information of a synthesis gas output from an outlet pipe are obtained, wherein the synthesis gas is synthesized by the first gas and the second gas in a synthesis furnace, and the production safety of the second gas is lower than that of the first gas; a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information are obtained, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; a first predicted value of the first gas is determined using the first load, the second sampling information, and the first gas ratio. The first predicted flow rate and the second predicted flow rate are used, and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas. The third predicted flow rate and the fourth predicted flow rate of the second gas are determined by using the first load, the first sampling information and the first gas ratio. The smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas. This solution uses artificial intelligence to adjust the given flow rates of the first gas and the second gas required to generate synthetic gas in real time. Specifically, the relatively safe first gas is allowed to be appropriately higher within the normal range to consume as much excess second gas as possible, and the relatively dangerous second gas is allowed to be appropriately lower within the normal range to avoid safety hazards caused by excessively high second gas. This can solve the technical problem of safety hazards in the synthesis of gas products in the related technology, and improve the safety of synthetic gas production. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0014] Figure 1is a flow chart of an optional adaptive control method of a gas synthesis furnace according to an embodiment of the present application;

[0015] Figure 2 is a schematic diagram of an optional adaptive control principle of a gas synthesis furnace according to an embodiment of the present application;

[0016] Figure 3 is a schematic diagram of an optional model predictive control principle according to an embodiment of the present application;

[0017] Figure 4 is a schematic diagram of an optional adaptive control device for a gas synthesis furnace according to an embodiment of the present application;

[0018] Figure 5 It is a structural block diagram of a terminal according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0020] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] Figure 1 is a flow chart of an optional adaptive control method of a gas synthesis furnace according to an embodiment of the present application, such as Figure 1 As shown, the method may include the following steps:

[0022] Step S102, obtaining first sampling information of the first gas input into the first inlet pipe, second sampling information of the second gas input into the second inlet pipe, and third sampling information of the synthesis gas output from the outlet pipe, where the synthesis gas is synthesized by the first gas and the second gas in the synthesis furnace.

[0023] The first sampling information is used to characterize the input-related information of the first gas, such as the concentration, pressure, flow rate, flow rate and other input-related information of the first gas in the first inlet pipe; similarly, the second sampling information is used to characterize the input-related information of the second gas, such as the concentration, pressure, flow rate, flow rate and other input-related information of the second gas in the second inlet pipe; the third sampling information is used to characterize the output-related information of the synthetic gas, such as the concentration, pressure, flow rate, flow rate and other output-related information of the synthetic gas in the outlet pipe.

[0024] The production safety of the second gas is lower than that of the first gas. In other words, the second gas is a gas with potential safety hazards. For example, in the synthesis of hydrogen chloride HCl, the first gas is hydrogen H 2 , the second gas is chlorine Cl 2 ; In sulfur trioxide SO 3 In the synthesis of 2 , the second gas is sulfur dioxide SO 2 ; In phosgene COCl 2 In the synthesis of, the first gas is carbon monoxide CO, the second gas is chlorine Cl 2 ; In phosphate H 3 PO 4 In the synthesis of 2 , the second gas is phosphine PH 3 .

[0025] Step S104, obtaining the first load of the synthesis furnace obtained by the first mathematical model according to the first sampling information (such as the first sampling pressure), and the first gas ratio between the first gas and the second gas obtained by the second mathematical model according to the third sampling information (such as the first sampling concentration). The first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio (that is, the gas ratio between the first gas and the second gas).

[0026] The above-mentioned mathematical model is a pre-trained model with adjustable parameters. It can pre-acquire the historical sampling pressure of the first gas in the first inlet pipe during normal operation and the historical load of the synthesis furnace, and establish a first mathematical model for representing the correlation between the historical sampling pressure and the historical load; and pre-acquire the historical sampling concentration of the synthesis gas in the outlet pipe during normal operation and the historical hydrogen-chlorine ratio of the synthesis furnace, and establish a second mathematical model for representing the correlation between the historical sampling concentration and the historical hydrogen-chlorine ratio.

[0027] The first mathematical model and the second mathematical model are represented by the following transfer functions:

[0028]

[0029] G(S) represents the transfer function, S represents the complex variable, a, b, c, d, τ represent the coefficients, and e is a natural constant (its value is approximately 2.718281828459045, which is the base of the natural logarithm function). In the formula This part is optional, and the complete formula when it is selected is The complete formula when it is not selected is

[0030] In the process of calling the mathematical model for control, the mathematical model is corrected or compensated by adjusting the above coefficients according to the output of the mathematical model and the actual measured results.

[0031] Step S106, using the first load, the second sampling information and the first gas ratio to determine the first predicted flow rate and the second predicted flow rate of the first gas, and using the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, and using the first load, the first sampling information and the first gas ratio to determine the third predicted flow rate and the fourth predicted flow rate of the second gas, and using the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas.

[0032] 1) Determine a first predicted flow rate and a second predicted flow rate of the first gas by using the first load, the second sampled flow rate, and the first gas ratio, and take the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas:

[0033] The first predicted flow rate of the first gas is determined by multiplying the first load by the first gas ratio; the second predicted flow rate of the first gas is determined by multiplying the second sampled flow rate by the first gas ratio; and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas.

[0034] 2) Determine a third predicted flow rate and a fourth predicted flow rate of the second gas by using the first load, the first sampled flow rate, and the first gas ratio, and use the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas:

[0035] The third predicted flow rate of the second gas is determined by the quotient of the first load and the first gas ratio; the fourth predicted flow rate of the second gas is determined by the quotient of the first sampled flow rate and the first gas ratio; and the smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas.

[0036] Through the above steps, first sampling information of the first gas input into the first inlet pipe, second sampling information of the second gas input into the second inlet pipe, and third sampling information of the synthesis gas output from the outlet pipe are obtained, the synthesis gas is synthesized by the first gas and the second gas in the synthesis furnace, and the production safety of the second gas is lower than that of the first gas; a first load of the synthesis furnace obtained by the first mathematical model according to the first sampling information and a first gas ratio between the first gas and the second gas obtained by the second mathematical model according to the third sampling information are obtained, the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; the first load, the second sampling information, and the first gas ratio are used to determine the first predicted flow rate of the first gas The first predicted flow rate and the second predicted flow rate are determined, and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas, and the third predicted flow rate and the fourth predicted flow rate of the second gas are determined by using the first load, the first sampling information and the first gas ratio, and the smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas. This solution can adjust the given flow rates of the first gas and the second gas required for generating the synthetic gas in real time by means of artificial intelligence. Specifically, the relatively safe first gas is appropriately higher within the normal range to consume as much excess second gas as possible, and the relatively dangerous second gas is appropriately lower within the normal range to avoid safety hazards caused by excessively high second gas. This can solve the technical problem of safety hazards in the synthesis of gas products in the related technology, and improve the safety of synthetic gas production.

[0037] As an optional embodiment, the synthesis gas is hydrogen chloride HCl, and the first gas is hydrogen H 2 , the second gas is chlorine Cl 2 For example, combined with Figure 2 , Figure 3 The technical solution of this application is further described in detail:

[0038] In order to ensure the complete reaction of chlorine, in theory, in the control process of hydrogen chloride synthesis chemical production, the hydrogen can be controlled to be moderately excessive by 5%-10%; in addition, in order to prevent over-chlorination during the system addition and reduction process, the operator will usually increase the hydrogen ratio to ensure system safety. In these two cases, once there is an excess of hydrogen, it will lead to an increase in the flow rate of synthesis gas and a low concentration of effective gasified hydrogen, which will increase hydrogen consumption while causing process fluctuations. In addition, the outlet gas composition of the hydrogen chloride synthesis unit is manually analyzed, which will make it difficult to accurately control the effective components of the hydrogen chloride synthesis gas (automatic control cannot be achieved) and difficult to adjust.

[0039] There are two control methods for the hydrogen chloride synthesis process: 1) Manually observe the color of the furnace fire and the changes in furnace pressure, manually adjust the chlorine and hydrogen valves, control the flow ratio of chlorine and hydrogen, and ensure that the flame is bluish-white. At this time, the purity of hydrogen chloride is within a reasonable range and meets production requirements; 2) Manually observe the furnace fire through video. It is difficult to accurately judge the color of the furnace fire by this method. It is only used as a means of observing whether the combustion is normal. By sampling the gas at the outlet of the synthesis furnace, the purity of hydrogen chloride is manually analyzed, and the opening of the chlorine and hydrogen regulating valves is manually adjusted to ensure a normal ratio.

[0040] The above two methods have great defects. First, the ratio of chlorine and hydrogen relies on manual adjustment, combined with manual observation or manual sampling and analysis to obtain the adjusted results. Continuous observation and adjustment are required to gradually approach the control target, and the adjustment cycle is long; secondly, in the actual production process, the fluctuations in the front and rear sections will cause the control valve to still have flow fluctuations when the opening remains unchanged, resulting in actual ratio fluctuations, and even causing the explosion-proof plate of the conversion section to burst due to overchlorination. In addition, when the production load increases, it is necessary to increase the hydrogen flow first, and then increase the chlorine flow; when the production load decreases, it is necessary to reduce the chlorine flow first, and then reduce the hydrogen flow. The adjustment process takes a long time and is prone to imbalance in the ratio. Finally, chemical production is a dynamic balance process. Manual operation has a large workload and is prone to misoperation due to fatigue, and even accidents.

[0041] From the above analysis, it can be seen that the control method of the hydrogen chloride synthesis device has defects such as inaccurate control, high safety risks, and high labor intensity for operators. It is very important and urgent to develop a highly automated control system to solve the above problems.

[0042] This scheme adopts a distributed control system (DCS for short, based on a microprocessor, adopts the basic design concept of decentralized control, centralized operation and management, and adopts a multi-level hierarchical, cooperative and autonomous structure. Its main features are centralized management and decentralized control, and it has been widely used in various industries such as electricity, metallurgy, and petrochemicals) as the basic control, and realizes precise control of the fixed ratio of chlorine and hydrogen through a coordinated control algorithm; the advanced control system (APC) communicates with the DCS through the OPC protocol, and adopts the predictive control (MPC for short) technology to establish a mathematical model for the production process, with the goal of stabilizing the pressure of the chlorine main pipe, and automatically adjusts the production load; with the goal of stabilizing the product gas concentration, the chlorine-hydrogen ratio is automatically adjusted. The adaptive optimization control of the main process indicators of the hydrogen chloride section is realized, and the control quality and operation automation level are improved.

[0043] The control principle of this scheme is as follows:

[0044] 1) Hydrogen chloride synthesis furnace load control: The load of the hydrogen chloride synthesis furnace is determined according to the hydrogen main pipe pressure of the previous section. An accurate mathematical model is obtained by model prediction of the historical data of the hydrogen main pipe pressure and the hydrogen chloride synthesis furnace load. The mathematical model is introduced into the advanced control system (APC) to realize the real-time automatic setting of the hydrogen main pipe pressure and the hydrogen chloride synthesis furnace load, thereby stabilizing the hydrogen main pipe pressure.

[0045] 2) Hydrogen chloride concentration control: A hydrogen chloride concentration analyzer is installed at the outlet pipe of the hydrogen chloride synthesis furnace. An accurate mathematical model is obtained by model prediction of the hydrogen-chlorine ratio of the synthesis furnace and the historical data of hydrogen chloride concentration measured by the analyzer. The mathematical model is imported into the advanced control system (APC) to realize automatic control of the hydrogen chloride concentration and hydrogen-chlorine ratio of the outlet main pipe, and stabilize the hydrogen chloride concentration of the outlet pipe at the set value.

[0046] 3) Hydrogen flow control: Algorithm for obtaining the set value (RSP) of the hydrogen flow control loop:

[0047] 3.1) The load given by the load model predictive control is multiplied by the hydrogen-chlorine ratio given by the hydrogen-chlorine ratio model predictive control to obtain a given flow rate of 1.

[0048] a) Determine production load:

[0049] Clarify the target production load of the hydrogen chloride synthesis furnace, that is, the amount of hydrogen chloride gas generated per unit time. Assume that the target production load is (L) kilograms / hour (kg / h) or tons / day (t / d).

[0050] b) Stoichiometric relationship:

[0051] From the stoichiometry shown in the synthesis reaction equation of hydrogen chloride HCl, 1 mole of hydrogen (H 2 ) and 1 mole of chlorine (Cl2 ) is completely reacted to produce 2 moles of hydrogen chloride (HCl), so theoretically the molar ratio of hydrogen to chlorine is 1:1.

[0052] c) Calculate theoretical demand

[0053] Based on the production load (L), the theoretical demand for hydrogen and chlorine can be calculated. Assume (M HCl ) is the molar mass of hydrogen chloride (about 36.46 g / mol), then the number of moles per kilogram of hydrogen chloride is:

[0054]

[0055] Since 1 mol H 2 and 1 mol Cl 2 To generate 2 moles of HCl, the moles of hydrogen and chlorine required are:

[0056]

[0057] Convert moles to mass flow rate:

[0058]

[0059] Among them, M H2 is the molar mass of hydrogen (about 2.016 g / mol), M Cl2 is the molar mass of chlorine (about 70.90 g / mol).

[0060] d) Consider the hydrogen-chlorine ratio. In actual operation, a slightly excessive amount of hydrogen or chlorine is usually set to ensure sufficient reaction. Assuming the set hydrogen-chlorine ratio is (R), the actual input hydrogen flow rate F H2 and chlorine gas flow F Cl2 It can be calculated by the following formula:

[0061]

[0062] If (R=1) (i.e. 1:1 ratio), then: F H2 =m H2 F Cl2 =m Cl2 But if it is other ratios, such as (R = 1.1), then:

[0063]

[0064] e) Consider safety margin

[0065] In actual operation, a certain safety margin is usually set considering the safety and efficiency of the reaction. For example, hydrogen may be slightly in excess to ensure that all chlorine can react completely and avoid unreacted chlorine being discharged into the environment. The specific safety margin depends on the specific operating procedures and safety standards of the factory.

[0066] Example calculation: production load (L=1000) kg / h, hydrogen-chlorine ratio (R=1.05) (slight excess of hydrogen).

[0067] Calculate the number of moles:

[0068]

[0069] Calculate mass flow rate:

[0070]

[0071] Adjust the hydrogen-chlorine ratio:

[0072]

[0073] According to the above calculation, the required hydrogen given flow F can be obtained H2 and chlorine gas given flow F Cl2 .

[0074] Through the above steps, the required hydrogen given flow rate can be accurately calculated according to the production load of the hydrogen chloride synthesis furnace and the set hydrogen-chlorine ratio. This not only helps to optimize the production process, but also ensures the safety and efficiency of the reaction.

[0075] 3.2) The actual chlorine flow rate is multiplied by the hydrogen-chlorine ratio given by the hydrogen-chlorine ratio model predictive control to obtain a given flow rate 2.

[0076] a) Determine the actual chlorine gas flow rate

[0077] Actual flow rate of chlorine gas F Cl2 , the unit is usually standard cubic meter per hour (Nm 3 / h) or kilograms per hour (kg / h). Assume that the actual flow rate of chlorine is F Cl2 kg / h.

[0078] b) Setting the hydrogen-chlorine ratio

[0079] The set hydrogen-chlorine ratio (R) refers to the molar ratio or mass ratio of hydrogen to chlorine. Assume that the set hydrogen-chlorine ratio is (R) (for example, (R = 1.05) means that hydrogen is slightly in excess). If (R) is based on the molar ratio, the difference in the molar mass of hydrogen and chlorine needs to be considered; if (R) is based on the mass ratio, it can be used directly.

[0080] c) Stoichiometric relationship

[0081] According to the stoichiometry of the synthesis reaction equation of hydrogen chloride (HCl), 1 mole of hydrogen (H 2 ) and 1 mole of chlorine (Cl 2 ) is completely reacted to produce 2 moles of hydrogen chloride (HCl). Therefore, theoretically, the molar ratio of hydrogen to chlorine is 1:1.

[0082] d) Calculate the theoretical demand based on the actual flow rate F of chlorine gas Cl2 , the theoretical amount of hydrogen required can be calculated. Assuming M Cl2 is the molar mass of chlorine (about 70.90 g / mol), then the actual flow rate of chlorine corresponds to the number of moles:

[0083]

[0084] Since 1 mol H 2 and 1 mol Cl 2 To generate 2 moles of HCl, the number of moles of hydrogen required is also:

[0085]

[0086] Convert moles to mass flow rate:

[0087]

[0088] Among them, M H2 is the molar mass of hydrogen (about 2.016 g / mol).

[0089] e) Adjust the hydrogen-chlorine ratio

[0090] According to the set hydrogen-chlorine ratio (R), calculate the actual input hydrogen flow F H2 :

[0091] If (R) is based on a molar ratio:

[0092]

[0093] If (R) is based on mass ratio:

[0094]

[0095] Example calculation: Actual chlorine gas flow rate F Cl2 =1000kg / h; set hydrogen-chlorine ratio (R=1.05) (based on mass ratio).

[0096] Calculate the number of moles (for understanding only, actual calculations are done directly using mass ratio):

[0097]

[0098] Calculate the theoretical demand for hydrogen (for understanding only, actual calculations are done directly using mass ratio):

[0099]

[0100] Adjust the hydrogen-chlorine ratio (based on mass ratio):

[0101]

[0102] Finally, according to the above calculation, the required hydrogen given flow rate F H2 It is 1050kg / h.

[0103] Simplified formula If based directly on the mass ratio (R), a simplified formula can be used:

[0104]

[0105] This formula can be directly used to quickly calculate a given flow rate of hydrogen.

[0106] Through the above steps, the given flow rate of hydrogen input into the hydrogen chloride synthesis furnace can be accurately calculated based on the actual flow rate of chlorine and the set hydrogen-chlorine ratio. This not only helps to optimize the production process, but also ensures the safety and efficiency of the reaction.

[0107] 3.3) Compare given flow rate 1 with given flow rate 2, and select the larger value as the set value (RSP) of the hydrogen flow control loop.

[0108] 4) Chlorine gas flow control: Algorithm for obtaining the set value (RSP) of the chlorine gas flow control loop:

[0109] 4.1) The actual hydrogen flow rate is divided by the hydrogen-chlorine ratio given by the hydrogen-chlorine ratio model predictive control to obtain a given flow rate of 1;

[0110] 4.2) Load given value 2 given by load model predictive control;

[0111] 4.3) Compare the given flow rate 1 with the load given value 2 given by the load model predictive control, and select the smaller value as the set value (RSP) of the chlorine gas flow control loop.

[0112] The implementation process of the above steps 4.1 and 4.2 is similar to the above process and will not be repeated here.

[0113] 5) Model predictive control principle

[0114] Model predictive control is a control algorithm that uses real-time information and model information to continuously optimize the objective function and correct or compensate the prediction model based on the actual measured object output. The model predictive control process consists of a prediction model, rolling optimization, and feedback correction.

[0115]

[0116] The specific values ​​of coefficients a, b, c, d, and τ in the formula are obtained by model identification.

[0117] This solution combines load model predictive control and hydrogen-chlorine ratio model predictive control to dynamically adjust the flow set point (RSP) of hydrogen and chlorine, which has the following significant advantages:

[0118] 1) Flexibility and adaptability: Through model predictive control (MPC) technology, the solution can dynamically adjust the flow set points of hydrogen and chlorine based on real-time data and future predictions, which enables the system to quickly respond to changes in production conditions, such as load fluctuations, gas flow changes, etc.; adaptive adjustment: the hydrogen-chlorine ratio model predictive control can automatically adjust the hydrogen-chlorine ratio according to actual operating conditions to ensure that the reaction is always carried out under optimal conditions. This adaptive capability improves the stability and reliability of the system.

[0119] 2) Optimize resource utilization by comparing given flow 1 and given flow 2 and selecting the larger value as the set value of the hydrogen flow control loop to ensure sufficient hydrogen supply and avoid incomplete reaction or excessive chlorine emission due to insufficient hydrogen; minimize chlorine waste by comparing given flow 1 with the load given value and selecting the smaller value as the set value of the chlorine flow control loop to ensure that chlorine is not oversupplied, thereby reducing resource waste and environmental pollution.

[0120] 3) Safety and stability, prevent excessive input. By selecting a larger hydrogen flow setting value and a smaller chlorine flow setting value, excessive chlorine can be effectively prevented from entering the reactor, reducing potential safety risks; stabilize the reaction conditions, ensure that the ratio of hydrogen and chlorine is always within the optimal range, maintain the stability and efficiency of the reaction, and reduce the probability of abnormal situations.

[0121] 4) Improve production efficiency. Through the dual guarantees of load model predictive control and hydrogen-chlorine ratio model predictive control, accurate control of hydrogen and chlorine gas flow can be achieved to improve production efficiency and product quality; reduce downtime. Due to the flexibility and adaptability of the system, it can maintain stable operation under a wider range of conditions and reduce downtime caused by equipment failure or operational errors.

[0122] 5) Simplified operation management, high degree of automation. The entire control process is highly automated, which reduces the need for human intervention, reduces the difficulty of operation and the possibility of human error; easy to monitor and adjust. Through clear algorithm logic, operators can more easily understand and monitor the operating status of the system and make adjustments when necessary.

[0123] 6) Enhance robustness and cope with uncertainty. Model predictive control can handle uncertainty and disturbances to ensure that the system can maintain good performance under different operating conditions. Multi-objective optimization takes into account load demand and hydrogen-chlorine ratio optimization at the same time, realizes multi-objective comprehensive optimization, and enhances the robustness and adaptability of the system.

[0124] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0125] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0126] According to another aspect of an embodiment of the present application, there is also provided an adaptive control device for a gas synthesis furnace for implementing the adaptive control method for the gas synthesis furnace described above. Figure 4 is a schematic diagram of an optional adaptive control device for a gas synthesis furnace according to an embodiment of the present application, such as Figure 4 As shown, the device may include:

[0127] an acquisition unit 41, configured to acquire first sampling information of a first gas inputted into a first inlet pipe, second sampling information of a second gas inputted into a second inlet pipe, and third sampling information of a synthesis gas outputted from an outlet pipe, wherein the synthesis gas is synthesized by synthesizing the first gas and the second gas in a synthesis furnace, and the production safety of the second gas is lower than that of the first gas;

[0128] The prediction unit 42 is used to obtain a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas;

[0129] A control unit 43 is used to determine a first predicted flow rate and a second predicted flow rate of the first gas using the first load, the second sampling information and the first gas ratio, and use the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, and to determine a third predicted flow rate and a fourth predicted flow rate of the second gas using the first load, the first sampling information and the first gas ratio, and use the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas.

[0130] Through the above modules, first sampling information of the first gas input into the first inlet pipe, second sampling information of the second gas input into the second inlet pipe, and third sampling information of the synthesis gas output from the outlet pipe are obtained, the synthesis gas is synthesized by the first gas and the second gas in the synthesis furnace, and the production safety of the second gas is lower than that of the first gas; a first load of the synthesis furnace obtained by the first mathematical model according to the first sampling information and a first gas ratio between the first gas and the second gas obtained by the second mathematical model according to the third sampling information are obtained, the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; the first load, the second sampling information and the first gas ratio are used to determine the first predicted flow rate of the first gas The first predicted flow rate and the second predicted flow rate are determined, and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas, and the third predicted flow rate and the fourth predicted flow rate of the second gas are determined by using the first load, the first sampling information and the first gas ratio, and the smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas. This solution can adjust the given flow rates of the first gas and the second gas required for generating the synthetic gas in real time by means of artificial intelligence. Specifically, the relatively safe first gas is appropriately higher within the normal range to consume as much excess second gas as possible, and the relatively dangerous second gas is appropriately lower within the normal range to avoid safety hazards caused by excessively high second gas. This can solve the technical problem of safety hazards in the synthesis of gas products in the related technology, and improve the safety of synthetic gas production.

[0131] Optionally, the first sampling information includes the sampling pressure and the first sampling flow rate of the first gas, the second sampling information includes the second sampling flow rate of the second gas, and the third sampling information includes the first sampling concentration of the synthesis gas. The prediction unit is also used to: obtain the first load of the synthesis furnace predicted by the first mathematical model according to the first sampling pressure; obtain the first gas ratio between the first gas and the second gas predicted by the second mathematical model according to the first sampling concentration.

[0132] The mathematical model can be established as follows:

[0133] Acquire the historical sampling pressure of the first gas in the first inlet pipe and the historical load of the synthesis furnace, and establish the first mathematical model for representing the correlation between the historical sampling pressure and the historical load;

[0134] Obtaining a historical sampling concentration of the synthesis gas in the outlet pipe and a historical hydrogen-chlorine ratio of the synthesis furnace, and establishing a second mathematical model for representing a correlation between the historical sampling concentration and the historical hydrogen-chlorine ratio;

[0135] The first mathematical model and the second mathematical model are expressed by the following formulas:

[0136]

[0137] G(S) represents a transfer function, S represents a complex variable, and a, b, c, d, and τ are coefficients.

[0138] In the process of calling the mathematical model for control, the mathematical model is corrected or compensated according to the output of the mathematical model and the actual measured results.

[0139] Optionally, the control unit is also used to: determine the first predicted flow rate and the second predicted flow rate of the first gas using the first load, the second sampled flow rate and the first gas ratio, and use the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas; determine the third predicted flow rate and the fourth predicted flow rate of the second gas using the first load, the first sampled flow rate and the first gas ratio, and use the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas.

[0140] Optionally, the control unit is also used to: determine a first predicted flow rate of the first gas using the product of the first load and the first gas ratio; determine a second predicted flow rate of the first gas using the product of the second sampled flow rate and the first gas ratio; and use the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas.

[0141] Optionally, the control unit is also used to: determine a third predicted flow rate of the second gas using the quotient between the first load and the first gas ratio; determine a fourth predicted flow rate of the second gas using the quotient between the first sampled flow rate and the first gas ratio; and use the smaller value of the third predicted flow rate and the fourth predicted flow rate as a second given flow rate of the second gas.

[0142] It should be noted that the examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the contents disclosed in the above embodiments. It should be noted that the above modules, as part of the device, can be run in a corresponding hardware environment, can be implemented by software, and can also be implemented by hardware, wherein the hardware environment includes a network environment.

[0143] According to another aspect of an embodiment of the present application, a server or terminal for implementing the above-mentioned adaptive control method of the gas synthesis furnace is also provided.

[0144] Figure 5 is a structural block diagram of a terminal according to an embodiment of the present application, such as Figure 5 As shown, the terminal may include: one or more (only one is shown in the figure) processors 501, a memory 503, and a transmission device 505, such as Figure 5 As shown, the terminal may also include an input and output device 507.

[0145] Among them, the memory 503 can be used to store software programs and modules, such as the program instructions / modules corresponding to the adaptive control method and device of the gas synthesis furnace in the embodiment of the present application. The processor 501 executes various functional applications and data processing by running the software programs and modules stored in the memory 503, that is, realizing the adaptive control method of the gas synthesis furnace mentioned above. The memory 503 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 503 may further include a memory remotely arranged relative to the processor 501, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0146] The above-mentioned transmission device 505 is used to receive or send data via a network, and can also be used for data transmission between a processor and a memory. The above-mentioned network specific examples may include wired networks and wireless networks. In one example, the transmission device 505 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices and routers via a network cable so as to communicate with the Internet or a local area network. In one example, the transmission device 505 is a radio frequency (Radio Frequency, RF) module, which is used to communicate with the Internet wirelessly.

[0147] Specifically, the memory 503 is used to store application programs.

[0148] The processor 501 may call the application stored in the memory 503 through the transmission device 505 to perform the following steps:

[0149] Acquire first sampling information of a first gas inputted into a first inlet pipe, second sampling information of a second gas inputted into a second inlet pipe, and third sampling information of a synthesis gas outputted from an outlet pipe, wherein the synthesis gas is synthesized by the first gas and the second gas in a synthesis furnace, and the production safety of the second gas is lower than that of the first gas;

[0150] Obtaining a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas;

[0151] The first load, the second sampling information and the first gas ratio are used to determine the first predicted flow rate and the second predicted flow rate of the first gas, and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas. The first load, the first sampling information and the first gas ratio are used to determine the third predicted flow rate and the fourth predicted flow rate of the second gas, and the smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas.

[0152] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment will not be described in detail here.

[0153] It can be understood by those skilled in the art that Figure 5The structure shown is for illustration only, and the terminal may be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, a mobile Internet device (Mobile Internet Devices, MID), a PAD, or other terminal devices. Figure 5 It does not limit the structure of the above electronic device. For example, the terminal may also include Figure 5 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Figure 5 Different configurations are shown.

[0154] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0155] The embodiment of the present application further provides a storage medium. Optionally, in this embodiment, the storage medium can be used to execute the program code of the adaptive control method of the gas synthesis furnace.

[0156] Optionally, in this embodiment, the storage medium may be located on at least one network device among a plurality of network devices in the network shown in the above embodiment.

[0157] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps:

[0158] Acquire first sampling information of a first gas inputted into a first inlet pipe, second sampling information of a second gas inputted into a second inlet pipe, and third sampling information of a synthesis gas outputted from an outlet pipe, wherein the synthesis gas is synthesized by the first gas and the second gas in a synthesis furnace, and the production safety of the second gas is lower than that of the first gas;

[0159] Obtaining a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas;

[0160] The first load, the second sampling information and the first gas ratio are used to determine the first predicted flow rate and the second predicted flow rate of the first gas, and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas. The first load, the first sampling information and the first gas ratio are used to determine the third predicted flow rate and the fourth predicted flow rate of the second gas, and the smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas.

[0161] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment will not be described in detail here.

[0162] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0163] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0164] If the integrated units in the above embodiments are implemented in the form of software functional units and sold or used as independent products, they can be stored in the above computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling one or more computer devices (which may be personal computers, servers, or network devices, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0165] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0166] In the several embodiments provided in the present application, it should be understood that the disclosed client can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0169] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An adaptive control method for a gas synthesis furnace, characterized in that: include: Acquire first sampling information of a first gas inputted into a first inlet pipe, second sampling information of a second gas inputted into a second inlet pipe, and third sampling information of a synthesis gas outputted from an outlet pipe, wherein the synthesis gas is synthesized by the first gas and the second gas in a synthesis furnace, and the production safety of the second gas is lower than that of the first gas; Obtaining a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; The first load, the second sampling information and the first gas ratio are used to determine the first predicted flow rate and the second predicted flow rate of the first gas, and the larger value of the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas. The first load, the first sampling information and the first gas ratio are used to determine the third predicted flow rate and the fourth predicted flow rate of the second gas, and the smaller value of the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas.

2. The method according to claim 1, characterized in that The first sampling information includes a sampling pressure and a first sampling flow rate of the first gas, the second sampling information includes a second sampling flow rate of the second gas, and the third sampling information includes a first sampling concentration of the synthesis gas, wherein obtaining a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information includes: Obtaining the first load of the synthesis furnace predicted by the first mathematical model according to the first sampling pressure; A first gas ratio between the first gas and the second gas predicted by the second mathematical model according to the first sampling concentration is obtained.

3. The method according to claim 2, characterized in that Determining a first predicted flow rate and a second predicted flow rate of the first gas by using the first load, the second sampling information, and the first gas ratio, taking the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, and determining a third predicted flow rate and a fourth predicted flow rate of the second gas by using the first load, the first sampling information, and the first gas ratio, taking the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas, including: Determine the first predicted flow rate and the second predicted flow rate of the first gas by using the first load, the second sampled flow rate, and the first gas ratio, and use the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas; The third predicted flow rate and the fourth predicted flow rate of the second gas are determined by using the first load, the first sampled flow rate and the first gas ratio, and the smaller value between the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas.

4. The method according to claim 3, characterized in that Determining the first predicted flow rate and the second predicted flow rate of the first gas by using the first load, the second sampled flow rate, and the first gas ratio, and taking the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, comprising: determining a first predicted flow rate of the first gas by multiplying the first load by the first gas ratio; determining a second predicted flow rate of the first gas by multiplying the second sampled flow rate by the first gas ratio; The larger value between the first predicted flow rate and the second predicted flow rate is used as the first given flow rate of the first gas.

5. The method according to claim 3, characterized in that: Determining the third predicted flow rate and the fourth predicted flow rate of the second gas by using the first load, the first sampled flow rate, and the first gas ratio, and taking the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas, comprising: determining a third predicted flow rate of the second gas using a quotient between the first load and the first gas ratio; determining a fourth predicted flow rate of the second gas using a quotient between the first sampled flow rate and the first gas ratio; The smaller value between the third predicted flow rate and the fourth predicted flow rate is used as the second given flow rate of the second gas.

6. The method according to any one of claims 1 to 5, characterized in that The method also includes establishing a mathematical model in the following manner: Acquire the historical sampling pressure of the first gas in the first inlet pipe and the historical load of the synthesis furnace, and establish the first mathematical model for representing the correlation between the historical sampling pressure and the historical load; Obtaining a historical sampling concentration of the synthesis gas in the outlet pipe and a historical hydrogen-chlorine ratio of the synthesis furnace, and establishing a second mathematical model for representing a correlation between the historical sampling concentration and the historical hydrogen-chlorine ratio; The first mathematical model and the second mathematical model are represented by the following transfer functions: G(S) represents a transfer function, S represents a complex variable, and a, b, c, d, and τ are coefficients.

7. The method according to claim 6, characterized in that The method further comprises: In the process of calling the mathematical model for control, the mathematical model is corrected or compensated according to the output of the mathematical model and the actual measured results.

8. An adaptive control device for a gas synthesis furnace, characterized in that: include: an acquisition unit, configured to acquire first sampling information of a first gas inputted into a first inlet pipe, second sampling information of a second gas inputted into a second inlet pipe, and third sampling information of a synthesis gas outputted from an outlet pipe, wherein the synthesis gas is synthesized by synthesizing the first gas and the second gas in a synthesis furnace, and the production safety of the second gas is lower than that of the first gas; a prediction unit, configured to obtain a first load of the synthesis furnace obtained by a first mathematical model according to the first sampling information, and a first gas ratio between the first gas and the second gas obtained by a second mathematical model according to the third sampling information, wherein the first mathematical model is used to represent the relationship between the input of the first gas and the load of the synthesis furnace, and the second mathematical model is used to represent the relationship between the output of the synthesis gas and the gas ratio between the first gas and the second gas; A control unit is used to determine a first predicted flow rate and a second predicted flow rate of the first gas by using the first load, the second sampling information and the first gas ratio, and to use the larger value of the first predicted flow rate and the second predicted flow rate as the first given flow rate of the first gas, and to determine a third predicted flow rate and a fourth predicted flow rate of the second gas by using the first load, the first sampling information and the first gas ratio, and to use the smaller value of the third predicted flow rate and the fourth predicted flow rate as the second given flow rate of the second gas.

9. A computer-readable storage medium, characterized in that: The storage medium includes a stored program, wherein the program executes the method described in any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: The processor executes the method described in any one of claims 1 to 7 through the computer program.

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