Catalytic combustion chamber control method, device and equipment, storage medium and product

Abstract

The invention discloses a catalytic combustion chamber control method, device and equipment, a storage medium and a product, and relates to the technical field of catalytic combustion chamber control, and the catalytic combustion chamber control method comprises the steps that methane data and combustion chamber temperature field parameters injected into catalytic combustion equipment within a first preset duration before the current moment are obtained; inputting the methane data and the combustion chamber temperature field parameters into a combustion chamber temperature prediction model to obtain prediction data of the combustion chamber temperature field parameters within a second preset duration after the current moment; the model is obtained by training a catalytic combustion equipment operation sample, the catalytic combustion equipment operation sample comprises methane data and a combustion chamber temperature field parameter within a first preset duration before the same moment, and the label value of the model is a combustion chamber temperature field parameter within a second preset duration after the same moment; and based on the predicted data, controlling a methane switching valve and / or fan equipment to adjust the content of methane injected into the catalytic combustion equipment. The control hysteresis of the catalytic combustion chamber can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of catalytic combustion chamber control, and particularly to a catalytic combustion chamber control method, device, equipment, storage medium and product. Background Technique

[0002] In the related art, for the control of the catalytic combustion chamber of an RCO device (Regenerative Catalytic Oxidizer), generally, the temperature of the catalytic combustion chamber is monitored. When it is detected that the temperature of the catalytic combustion chamber rises, the methane content injected into the catalytic combustion chamber is reduced to lower the temperature of the combustion chamber.

[0003] However, in the above method, due to the hysteresis of the temperature regulation of the combustion chamber of the RCO device, even if the control system has started to reduce the methane content, the temperature of the catalytic combustion chamber will still continue to rise within a short period of time, resulting in too high a temperature in the catalytic combustion chamber. This temperature increase caused by the hysteresis will not only lead to the inactivation of the catalyst in the combustion chamber, but also reduce the service life of the regenerative ceramic. Therefore, a more intelligent control method for the catalytic combustion chamber of the RCO device needs to be sought. Summary of the Invention

[0004] The main purpose of the present application is to provide a catalytic combustion chamber control method, device, equipment, storage medium and product, aiming to solve the technical problem of hysteresis in the control of the catalytic combustion chamber in the related art.

[0005] To achieve the above object, the present application proposes a catalytic combustion chamber control method, which includes:

[0006] Obtain the methane data and the combustion chamber temperature field parameters injected into the catalytic combustion equipment within the first preset duration before the current moment; wherein, the methane data includes the methane flow rate parameter and the methane concentration parameter;

[0007] Input the methane data and the combustion chamber temperature field parameters into the combustion chamber temperature prediction model to obtain the prediction data of the combustion chamber temperature field parameters within the second preset duration after the current moment of the catalytic combustion equipment; wherein, the combustion chamber temperature prediction model is trained by the operation samples of the catalytic combustion equipment, and the operation samples of the catalytic combustion equipment include the methane flow rate parameter, the methane concentration parameter and the combustion chamber temperature field parameters within the first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within the second preset duration after the same moment;

[0008] Based on the prediction data, control the methane switch valve and / or the fan equipment of the catalytic combustion equipment to adjust the methane content injected into the catalytic combustion equipment.

[0009] In one embodiment, the steps of controlling the methane switching valve of the catalytic combustion device and / or the fan device based on the prediction data include:

[0010] Based on the prediction data, determine the temperature rise rate of the temperature field within a second preset time period;

[0011] Based on the prediction data and / or the temperature rise rate, control the methane switching valve of the catalytic combustion device and / or the fan device.

[0012] In one embodiment, the prediction data includes the predicted maximum temperature value of the temperature field;

[0013] The steps of controlling the methane switching valve of the catalytic combustion device and / or the fan device based on the prediction data and / or the temperature rise rate include:

[0014] When the predicted maximum temperature value is not less than the preset maximum temperature value, or the temperature rise rate is greater than the preset rise rate, adjust the methane switching valve so that the methane flow rate injected into the catalytic combustion device reaches the preset threshold, and control the rotational speed of the fan device to increase to lower the combustion chamber temperature.

[0015] In one embodiment, the prediction data includes the predicted average temperature value of the temperature field;

[0016] The steps of controlling the methane switching valve of the catalytic combustion device and / or the fan device based on the prediction data and / or the temperature rise rate include:

[0017] When the predicted average temperature value is within the preset temperature range and the temperature rise rate is within the preset temperature rise range, adopt the fuzzy proportional integral control method. Based on the difference between the predicted average temperature value and the preset average temperature value and the temperature rise rate, determine the methane flow rate adjustment amount, and control the methane switching valve based on the methane flow rate adjustment amount; wherein, the preset temperature range is the range determined by adding and subtracting the preset temperature from the preset average temperature value;

[0018] When the predicted average temperature value is less than the left endpoint value of the preset temperature range and the temperature rise rate is less than the left endpoint value of the preset temperature rise range, adopt the feedforward-feedback composite control method to control the methane switching valve and / or the fan device.

[0019] In one embodiment, after the steps of controlling the methane switching valve of the catalytic combustion device and / or the fan device based on the prediction data, the following steps are further included:

[0020] Based on Equation 1 and the methane concentration parameter, control the rotational speed of the fan device so that the methane concentration in the combustion chamber is maintained at the expected concentration value;

[0021] Equation 1 is: where N(t) is the rotational speed control value of the fan device, N baseis the base speed of the fan equipment, C set is the expected concentration value of methane, C(t) is the current methane concentration parameter, K p is the proportional adjustment coefficient, K i is the integral adjustment coefficient.

[0022] In one embodiment, before the step of inputting methane data and the combustion chamber temperature field parameters into the combustion chamber temperature prediction model to obtain the prediction data of the combustion chamber temperature field parameters within the second preset duration after the current moment for the catalytic combustion equipment, it further includes:

[0023] Inject methane corresponding to different methane data into the catalytic combustion equipment;

[0024] For each different methane data, obtain the local temperature parameters of the combustion chamber of the catalytic combustion equipment at different moments; wherein, the local temperature parameters are monitored by temperature probes installed axially inside and outside the combustion chamber;

[0025] For each different moment, perform thermodynamic simulation on the combustion chamber based on the local temperature parameters to obtain the combustion chamber temperature field parameters corresponding to the local temperature parameters;

[0026] Based on the methane data and the combustion chamber temperature field parameters, construct a sample data set; wherein, the sample data set includes multiple groups of methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset duration before the same moment, and the corresponding multiple groups of combustion chamber temperature field parameters within the second preset duration after the same moment;

[0027] Train the initial model based on the sample data set to obtain the combustion chamber temperature prediction model.

[0028] In addition, to achieve the above object, the present application also proposes a catalytic combustion chamber control device, which includes:

[0029] An acquisition module, configured to acquire the methane data and the combustion chamber temperature field parameters injected into the catalytic combustion equipment within the first preset duration before the current moment; wherein, the methane data includes the methane flow parameter and the methane concentration parameter;

[0030] A prediction module, configured to input the methane data and the combustion chamber temperature field parameters into the combustion chamber temperature prediction model to obtain the prediction data of the combustion chamber temperature field parameters within the second preset duration after the current moment for the catalytic combustion equipment; wherein, the combustion chamber temperature prediction model is trained by the operation samples of the catalytic combustion equipment, the operation samples of the catalytic combustion equipment include the methane flow parameter, the methane concentration parameter, and the combustion chamber temperature field parameters within the first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within the second preset duration after the same moment;

[0031] A control module, configured to control a methane switching valve and / or a fan device of a catalytic combustion device based on prediction data, so as to adjust the methane content injected into the catalytic combustion device.

[0032] In addition, to achieve the above object, the present application further provides a catalytic combustion chamber control device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the catalytic combustion chamber control method as described above.

[0033] In addition, to achieve the above object, the present application further provides a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the catalytic combustion chamber control method as described above are implemented.

[0034] In addition, to achieve the above object, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the catalytic combustion chamber control method as described above are implemented.

[0035] One or more technical solutions proposed by the present application have at least the following technical effects:

[0036] The catalytic combustion chamber control method provided by the present application can train a combustion chamber temperature prediction model through operation samples of a catalytic combustion device; wherein, the operation samples of the catalytic combustion device include methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within a first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within a second preset duration after the same moment. Thus, when controlling the catalytic combustion chamber, the methane data and the combustion chamber temperature field parameters injected into the catalytic combustion device within the first preset duration before the current moment can be input into the above combustion chamber temperature prediction model to obtain prediction data of the combustion chamber temperature field parameters within the second preset duration after the current moment. Through this prediction data, the methane switching valve and / or the fan speed can be controlled in advance to avoid the temperature rise caused by the lag of the combustion chamber control, ensure that the temperature in the combustion chamber always remains within a safe range, not only can avoid the high-temperature deactivation of the catalyst, but also can extend the service life of the regenerative ceramics. Description of the Drawings

[0037] The drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0038] To more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the accompanying drawings required for the description of the embodiments or related technologies. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0039] Figure 1 It is a schematic flowchart provided for the first embodiment of the catalytic combustion chamber control method of the present application;

[0040] Figure 2 It is a schematic overall flowchart of the catalytic combustion chamber control method;

[0041] Figure 3 It is a schematic module structure diagram of the catalytic combustion chamber control device in the embodiments of the present application;

[0042] Figure 4 It is a schematic device structure diagram of the hardware operating environment involved in the catalytic combustion chamber control method in the embodiments of the present application.

[0043] The realization of the purpose of the present application, functional features, and advantages will be further described in conjunction with the embodiments with reference to the accompanying drawings. Specific Embodiments

[0044] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0045] To better understand the technical solutions of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific embodiments.

[0046] The main solution of the embodiments of the present application is: obtaining methane data and combustion chamber temperature field parameters injected into the catalytic combustion equipment within a first preset duration before the current moment; wherein, the methane data includes methane flow parameters and methane concentration parameters; inputting the methane data and combustion chamber temperature field parameters into a combustion chamber temperature prediction model to obtain prediction data of the combustion chamber temperature field parameters within a second preset duration after the current moment for the catalytic combustion equipment; wherein, the combustion chamber temperature prediction model is trained through operation samples of the catalytic combustion equipment, and the operation samples of the catalytic combustion equipment include methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within a first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within a second preset duration after the same moment; based on the prediction data, controlling the methane switching valve and / or fan equipment of the catalytic combustion equipment to adjust the methane content injected into the catalytic combustion equipment.

[0047] The RCO technology is a regenerative catalytic combustion technology, which mainly enables organic waste gas to undergo anaerobic combustion at a relatively low ignition temperature with the aid of a catalyst. In related technologies, for the control of the catalytic combustion chamber of an RCO device, generally, the temperature of the catalytic combustion chamber is monitored. When it is detected that the temperature of the catalytic combustion chamber rises, the method of reducing the methane content injected into the catalytic combustion chamber is adopted to lower the temperature of the combustion chamber.

[0048] However, in the above method, due to the hysteresis of the temperature regulation of the combustion chamber of the RCO device, even if the control system has started to reduce the methane content, the temperature of the catalytic combustion chamber will still continue to rise within a short period, resulting in too high a temperature in the catalytic combustion chamber. This temperature increase caused by the hysteresis will not only lead to the inactivation of the catalyst in the combustion chamber, but also reduce the service life of the regenerative ceramic. Therefore, it is necessary to seek a more intelligent control method for the catalytic combustion chamber of the RCO device.

[0049] This application provides a solution. A combustion chamber temperature prediction model can be obtained through training with operation samples of the catalytic combustion device. Among them, the operation samples of the catalytic combustion device include methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within a first preset time period before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within a second preset time period after the same moment. Thus, when controlling the catalytic combustion chamber, the methane data and combustion chamber temperature field parameters injected into the catalytic combustion device within the first preset time period before the current moment can be input into the above combustion chamber temperature prediction model to obtain the predicted data of the combustion chamber temperature field parameters within the second preset time period after the current moment. Through this predicted data, the methane switching valve and / or the fan speed can be controlled in advance to avoid the temperature rise caused by the hysteresis of the combustion chamber control and ensure that the temperature in the combustion chamber always remains within a safe range. This can not only avoid the high-temperature inactivation of the catalyst, but also extend the service life of the regenerative ceramic.

[0050] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, etc., or an electronic device capable of implementing the above functions. Hereinafter, taking the catalytic combustion chamber control device as an example, this embodiment and the following embodiments will be described.

[0051] Based on this, the embodiment of this application provides a catalytic combustion chamber control method, referring to Figure 1 , Figure 1 which is the flowchart of the first embodiment of the catalytic combustion chamber control method of this application.

[0052] In this embodiment, the catalytic combustion chamber control method includes steps S100 to S300:

[0053] Step S100: Obtain the methane data and the combustion chamber temperature field parameters injected into the catalytic combustion equipment within the first preset duration before the current moment.

[0054] Among them, the methane data includes the methane flow rate parameter and the methane concentration parameter.

[0055] Step S200: Input the methane data and the combustion chamber temperature field parameters into the combustion chamber temperature prediction model to obtain the predicted data of the combustion chamber temperature field parameters within the second preset duration after the current moment for the catalytic combustion equipment.

[0056] Among them, the combustion chamber temperature prediction model is trained by using the operation samples of the catalytic combustion equipment. The operation samples of the catalytic combustion equipment include the methane flow rate parameter, the methane concentration parameter, and the combustion chamber temperature field parameters within the first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within the second preset duration after the same moment.

[0057] Step S300: Based on the predicted data, control the methane switching valve and / or the fan equipment of the catalytic combustion equipment to adjust the methane content injected into the catalytic combustion equipment.

[0058] Specifically, the catalytic combustion equipment mainly relies on methane as fuel. Therefore, the combustion process in the catalytic combustion chamber is closely related to the methane flow rate and the methane concentration. At the same time, the combustion chamber temperature field parameters can also timely reflect the temperature state of the combustion chamber. Thus, through some real-time monitoring devices, the methane data such as the methane flow rate parameter and the methane concentration parameter, as well as the combustion chamber temperature field parameters, are recorded in real time. And based on the methane data and the corresponding combustion chamber temperature field parameters, the relevant parameters of the combustion process in the future period (such as the combustion chamber temperature, etc.) are predicted and analyzed, so as to pre-control the catalytic combustion chamber according to the prediction results. In practical applications, a honeycomb rectifying structure is set on the catalytic combustion equipment. The honeycomb rectifying structure is a device component with a honeycomb-shaped hole structure, which can be used to improve the uniformity of gas flow. Methane gas can be injected into the catalytic combustion chamber of the catalytic combustion equipment through the honeycomb rectifying structure. In order to obtain more accurate methane data, a methane flow rate and concentration monitor can be installed at the outlet end of the honeycomb rectifying structure to monitor the methane data injected into the catalytic combustion chamber in real time.

[0059] The parameters of the combustion chamber temperature field are the temperature data inside the combustion chamber, which can be collected by temperature sensors arranged at different positions in the combustion chamber to ensure that the temperature changes in the combustion chamber can be comprehensively reflected. In actual applications, although the temperature parameters inside the combustion chamber can be obtained by arranging temperature sensors, etc., due to the limitations of the number and distribution of temperature sensors, the temperature data collected only by temperature sensors set at different positions may still not be able to reflect the overall temperature distribution inside the combustion chamber. Therefore, 3 groups of temperature sensing probes can be arranged axially inside and outside the combustion chamber to monitor the local temperature parameters of the combustion chamber in real time. Then, through thermodynamic simulation, the global temperature spatial distribution inside the combustion chamber can be obtained. For example, the ANSYS Fluent software can be used for thermodynamic simulation. The geometric structure parameters of the combustion chamber and the temperature data collected by the temperature sensing probes are input into the simulation software for operation. After the software operation ends, the global distribution of the combustion chamber temperature field can be output, and the temperature parameters corresponding to the output result can be used as the parameters of the combustion chamber temperature field. The parameters of the combustion chamber temperature field can include the average temperature value of the temperature field, the highest temperature value of the temperature field, the lowest temperature value of the temperature field, etc.

[0060] It should be noted that the methane data and the parameters of the combustion chamber temperature field at the current moment may be affected by instantaneous fluctuations (such as environmental changes, equipment measurement accuracy, wind speed changes, etc.). Therefore, in order to more accurately control the catalytic combustion chamber based on the methane data and the parameters of the combustion chamber temperature field, the methane data and the parameters of the combustion chamber temperature field injected into the catalytic combustion equipment within the first preset time period before the current moment can be obtained, and the combustion chamber temperature prediction analysis for the future time period can be carried out based on the methane data and the corresponding parameters of the combustion chamber temperature field during this time period to avoid the influence of the instantaneous fluctuations that may exist in the data at a single moment on the prediction result. The first preset time period can be set according to actual needs. For example, the methane data and the corresponding parameters of the combustion chamber temperature field injected into the catalytic combustion equipment within 120 s before the current moment can be obtained.

[0061] Then, input the methane data and the combustion chamber temperature field parameters within the first preset duration before the current moment obtained into the combustion chamber temperature prediction model. This combustion chamber temperature prediction model is trained through the operation samples of the catalytic combustion device. The operation samples of the catalytic combustion device include the methane flow rate parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset duration before the same moment. And the label value (i.e., the output value) of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within the second preset duration after the same moment. Thus, the combustion chamber temperature prediction model can predict the combustion chamber temperature field parameters in the future time period according to the input methane data and combustion chamber temperature field parameters within the first preset duration before the current moment, and obtain the prediction data of the combustion chamber temperature field parameters within the second preset duration after the current moment. In a feasible implementation manner, before step S200, there are also steps A100 to A500 for obtaining the combustion chamber temperature prediction model:

[0062] Step A100: Inject methane corresponding to different methane data into the catalytic combustion device.

[0063] Step A200: For each different methane data, obtain the local temperature parameters of the combustion chamber of the catalytic combustion device at different moments.

[0064] Among them, the local temperature parameters are monitored by temperature probes installed axially inside and outside the combustion chamber.

[0065] Step A300: For each different moment, perform a thermodynamic simulation on the combustion chamber based on the local temperature parameters to obtain the combustion chamber temperature field parameters corresponding to the local temperature parameters.

[0066] Step A400: Based on the methane data and the combustion chamber temperature field parameters, construct a sample data set.

[0067] Among them, the sample data set includes multiple groups of methane flow rate parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset duration before the same moment, and the corresponding multiple groups of combustion chamber temperature field parameters within the second preset duration after the same moment.

[0068] Step A500: Train the initial model based on the sample data set to obtain the combustion chamber temperature prediction model.

[0069] Specifically, in order to obtain a wider range of sample data, the methane corresponding to different methane data can be separately injected into the catalytic combustion equipment for combustion reaction, and the multiple injection situations can be recorded; among them, the methane flow rate can be controlled within the range of 100 - 3000 m3 / min, and the methane concentration can be controlled within the range of 0 - 15% VOL. In order to meet the above data input range, generally, the methane gas collected from coal mines with different regional distributions and different stratigraphic structures can be used as the input. For each injection, the temperature change of the combustion chamber within a period of time after injecting the methane corresponding to the methane data can be monitored in real time; as described above, the local temperature parameters of the combustion chamber at each moment can be monitored through the temperature probes installed axially inside and outside the combustion chamber, and then thermodynamic simulation is carried out for the local temperature parameters collected at each moment to obtain the combustion chamber temperature field parameters corresponding to the local temperature parameters; based on all the methane data and the corresponding combustion chamber temperature field data, a sample data set for model training can be constructed. The sample data set includes multiple groups of methane flow rate parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset time period before the same moment, and the corresponding multiple groups of combustion chamber temperature field parameters within the second preset time period after the same moment; using the sample data set to train a selected initial model (such as a random forest model, a support vector machine regression model, etc.), the aforementioned combustion chamber temperature prediction model can be obtained, which is used to predict the temperature change of the combustion chamber in the future time period.

[0070] For example, in one example, methane corresponding to different methane data can be injected into the catalytic combustion equipment respectively, where the methane concentration is within the range of 0 - 15% VOL and the methane flow rate is within 100 - 3000 m 3within the range of / min; then, the local temperature parameters of the combustion chamber within a period of time after injecting methane gas are monitored in real time by temperature probes axially arranged inside and outside the combustion chamber, and thermodynamic simulation is carried out using the local temperature parameters to obtain the corresponding combustion chamber temperature field parameters (such as the average temperature value T_mean, the maximum temperature value T_max, and the minimum temperature value T_min of the temperature field); after the above processing, a large amount of time series data on different methane data and the corresponding combustion chamber temperature field parameters can be obtained; then, random sampling is carried out from the above time series data to construct a sample data set for model training; for example, a t moment can be randomly determined, and then the methane data and the corresponding combustion chamber temperature field parameters within the time period from t to t + 180 s are selected as a set of sample data; among them, the methane concentration C(t) within t to t + 120 s, the methane flow rate Q(t) within t to t + 120 s, and the corresponding combustion chamber temperature field parameters within t to t + 120 s are used as input data, and the combustion chamber temperature field parameters within t + 120 to t + 180 s are used as label data (i.e., output data); the above sample selection operation is repeated 1 million times, that is, 1 million sets of sample data are obtained, and these sample data constitute the sample data set.

[0071] On the basis of determining the sample data set, a random forest model can be selected as the initial model for model training. The random forest model is an ensemble learning model that can make predictions through the combination of multiple decision trees. Each tree is trained by randomly sampling the sample data and feature selection, and finally gives the prediction result through majority decision. It has a good prediction effect when the data volume is large and the relationship between features is complex. The hyperparameters of the random forest model are set as follows: the number of trees is 200, the maximum depth is 15, the number of feature subsets is 4, and the minimum number of leaf samples is 5; the above sample data set is divided according to a certain ratio (such as 7:3, that is, 70% of the sample data is used as the training set and 30% is used as the test set), and then the random forest model is trained based on the foregoing settings to obtain the final combustion chamber temperature prediction model; after verification, it is found that under the above parameter settings, the prediction accuracy of the model test set is relatively high. Among them, the prediction error of the average temperature value of the temperature field is less than 5 °C, and the prediction error of the maximum temperature value of the temperature field is less than 10 °C. The above combustion chamber temperature prediction model can predict the combustion chamber temperature field parameters within 60 s after the current moment based on the methane data and the combustion chamber temperature field parameters within 120 s before the current moment.

[0072] Based on the prediction data, the methane switching valve, fan equipment, etc. of the catalytic combustion equipment can be controlled to adjust the methane content injected into the catalytic combustion equipment. The methane switching valve is generally adjusted by a direct stroke electric actuator, with a stroke time ≤ 5 s and a repeatability accuracy of ±0.1%. The fan equipment is generally a variable frequency fan driven by a permanent magnet synchronous motor, with a power of 22 kw and a speed control accuracy of ±10 rpm. Figure 2 It is a schematic diagram of the overall process of the catalytic combustion chamber control method, as Figure 2 shown. Thermodynamic simulation can be carried out based on the temperature sensor data collected by the temperature sensor (i.e., the aforementioned local temperature parameters) to obtain the combustion chamber temperature field parameters. Then, the combustion chamber temperature field parameters, methane concentration, methane flow rate, etc. are input into the combustion chamber temperature prediction model to obtain the prediction data of the combustion chamber temperature field parameters within the second preset duration after the current moment. Based on this prediction data, the methane switching valve and the fan equipment speed are regulated to improve the methane concentration and methane flow rate injected into the catalytic combustion equipment and avoid excessive temperature in the combustion chamber. It can be understood that the methane injection amount can be intervened and controlled in advance according to the prediction data of the future second preset duration, thereby improving the control lag of the catalytic combustion chamber. In a feasible implementation manner, step S300 may specifically include steps S310 to S330:

[0073] Step S310: Based on the prediction data, determine the temperature rise rate of the temperature field within the second preset duration.

[0074] Step S320: Based on the prediction data and / or the temperature rise rate, control the methane switching valve and / or the fan equipment of the catalytic combustion equipment.

[0075] Specifically, the temperature rise rate is the change rate of the combustion chamber temperature within the second preset duration. After obtaining the combustion chamber temperature field parameters within the second preset duration after the current moment through the combustion chamber temperature prediction model, the temperature rise rate can be determined by combining the combustion chamber temperature field parameters at the current moment and the predicted combustion chamber temperature field parameters, providing a basis for subsequent combustion chamber control. For example, the current moment is t1, the second preset duration is 60 s, and the prediction data shows that the combustion chamber temperature rises from T(t1) to T(t1 + 60). At this time, the temperature rise rate can be expressed as ΔT / Δt, where ΔT = T(t1 + 60) - T(t1) and Δt = 60 s. According to the prediction data and the temperature rise rate, the methane flow rate and the fan speed can be dynamically adjusted to maintain the stability of the combustion chamber temperature.

[0076] In a feasible implementation, the prediction data includes the predicted maximum temperature of the temperature field. In this implementation, step S320 may be specifically as follows: When the predicted maximum temperature is not less than the preset maximum temperature value, or the temperature rise rate is greater than the preset rise rate, adjust the methane switching valve so that the methane flow rate injected into the catalytic combustion device reaches the preset threshold, and control the rotational speed of the fan device to increase to reduce the temperature of the combustion chamber.

[0077] It is not difficult to understand that the preset maximum temperature value is the upper limit of the safe temperature set according to the actual operating state of the catalytic combustion device (generally 500 - 800 °C). Exceeding this preset maximum temperature value may cause the catalyst to become deactivated or the regenerative ceramics in the combustion chamber to overheat and be damaged; similarly, the preset rise rate is the upper limit of a preset safe temperature rise rate. When the temperature rise rate exceeds this preset rise rate, it indicates that the temperature in the combustion chamber may rise rapidly in a short period of time, which will also have an adverse impact on the catalyst and regenerative ceramics. Therefore, when the predicted maximum temperature is greater than or equal to the preset maximum temperature value, or the temperature rise rate is greater than the preset rise rate, emergency regulation can be carried out. Adjust the methane switching valve to make the methane flow rate reach the preset threshold, which is also the preset safe threshold for methane flow rate. At the same time, the rotational speed of the fan device can be controlled to increase rapidly to reduce the temperature of the combustion chamber quickly and avoid the influence of too high a combustion chamber temperature on the catalyst and regenerative ceramics. For example, if the predicted maximum temperature is denoted as T_max and the preset maximum temperature value is denoted as T_EX_max, on this basis, a temperature fluctuation of 10 °C can be set. When T_max ≥ T_EX_max + 10 °C, or the temperature rise rate ΔT / Δt > 20 °C / min, emergency regulation can be carried out, adjust the methane switching valve to control the methane flow rate to the preset threshold Q_min, and increase the fan speed to cool down quickly.

[0078] In addition, the prediction data may further include the predicted average temperature of the temperature field; thus, step S320 may be specifically steps S321 - S322:

[0079] Step S321, when the predicted average temperature is within the preset temperature range and the temperature rise rate is within the preset temperature rise range, adopt the fuzzy proportional integral control method, determine the methane flow rate adjustment amount based on the difference between the predicted average temperature and the preset average temperature value and the temperature rise rate, and control the methane switching valve based on the methane flow rate adjustment amount.

[0080] Among them, the preset temperature range is the range determined by adding and subtracting the preset temperature from the preset average temperature value.

[0081] Step S322, when the predicted average temperature value is less than the left endpoint value of the preset temperature range and the temperature rising rate is less than the left endpoint value of the preset temperature rising range, a feedforward-feedback composite control method is adopted to control the methane switching valve and / or the fan equipment.

[0082] Specifically, the preset average temperature value is a preset temperature value that can achieve a better combustion state in the combustion chamber. The preset temperature range is an interval determined by adding and subtracting a preset temperature from the preset average temperature value. When the predicted average temperature value is within the preset temperature range and the temperature rising rate is within the preset temperature rising range, it indicates that the temperature in the combustion chamber will be in a relatively stable state in the future. At this time, only the fuzzy proportional-integral control method needs to be adopted for dynamic fine-tuning to keep the combustion chamber in this dynamic balance state. For example, if the predicted average temperature value is denoted as T_mean and the preset average temperature value is denoted as T_EX_mean, on this basis, a certain preset temperature (such as 10°C) can be set for up and down floating to obtain the preset temperature range [T_EX_mean - 10°C, T_EX_mean + 10°C]. When T_mean ∈ [T_EX_mean - 10°C, T_EX_mean + 10°C] and the temperature rising rate ΔT / Δt belongs to the preset temperature rising range of [-10°C / min, 10°C / min], the methane flow rate adjustment amount is generated according to the difference between T_mean and T_EX_mean and ΔT / Δt according to the fuzzy rules, and the methane switching valve is controlled based on the methane flow rate adjustment amount to keep the combustion chamber in dynamic balance.

[0083] When the predicted average temperature value is less than the left endpoint value of the preset temperature range and the temperature rising rate is less than the left endpoint value of the preset temperature rising range, it indicates that the temperature in the combustion chamber is relatively low and it is difficult to reach a better combustion state. At this time, a feedforward-feedback composite control method can be adopted to perform feedforward control on the methane switching valve according to the predicted average temperature value to compensate the methane flow rate in advance, so that the corresponding predicted average temperature value can meet the requirements of the preset temperature range, and then further adjustment is performed according to the deviation between the adjusted average temperature value and the preset average temperature value to quickly increase the temperature in the combustion chamber.

[0084] Different control strategies are adopted according to different working conditions to keep the temperature in the combustion chamber stable. Under normal working conditions, the fuzzy proportional-integral control method is adopted to dynamically adjust the methane flow rate; in the case of too low temperature, the feedforward-feedback composite control method is adopted to quickly adjust the methane flow rate and the fan speed, thereby improving the response speed and stability of the system and prolonging the service life of the catalyst and the regenerative ceramic.

[0085] It is worth mentioning that, in order to avoid fluctuations in methane concentration during the combustion process and affect the stability of the combustion process, after controlling the methane switching valve and / or the fan equipment of the catalytic combustion equipment based on the predicted data, the methane concentration in the combustion chamber can be further regulated. Specifically, the rotational speed of the fan equipment can be controlled based on Equation 1 and the methane concentration parameter, so that the methane concentration in the combustion chamber is maintained at the expected concentration value.

[0086] Equation 1 is: Where N(t) is the rotational speed control value of the fan equipment, N base is the basic rotational speed of the fan equipment, C set is the expected concentration value of methane, C(t) is the current methane concentration parameter, K p is the proportional adjustment coefficient, K i is the integral adjustment coefficient.

[0087] In the above Equation 1, the basic rotational speed of the fan equipment can be determined according to the fan model and the airflow flow rate (such as methane flow rate) requirements in the combustion chamber. This basic rotational speed needs to ensure that the air volume of the fan can meet the minimum combustion requirements in the non-adjusted state; specifically, the basic rotational speed of the current fan equipment can be determined by querying a preset form (the form records the corresponding data of the fan model, gas flow rate and fan basic rotational speed); C set is the expected concentration value of methane, which is the methane concentration value determined according to data such as the combustion chamber temperature and is expected to operate the combustion chamber under the best working conditions; C(t) is the current methane concentration parameter (i.e., the real-time monitoring value), where t represents the current moment, and the measurement range of C(t) is generally 0-15%VOL, and the accuracy requirement is controlled within ±0.1%VOL; the proportional adjustment coefficient K p determines the response speed of the system to the current error, K p is too large and easy to cause oscillation, while K p is too small and easy to cause slow response. Therefore, in order to obtain better control effects, K p can be controlled within the range of 0.5-2.0; the integral adjustment coefficient K i is used to eliminate the long-term steady-state error to ensure the stability of the methane concentration. K i is too large and easy to cause integral saturation, while K i is too small and there will be residual steady-state error. Preferably, K i can be controlled within the range of 0.1-0.5. In the specific parameter adjustment process of actual application, K i can be first fixed at 0, and then K p is gradually increased until the control system shows slight oscillation (i.e., the dynamic change rate of the combustion chamber temperature exceeds 5%), and at this time, the oscillation critical value can be taken as the K p critical value; then Kp Set it to 50% - 70% of this critical value, and then gradually add K according to a certain compensation i , for example, increase it by a step size of 0.1, with K i = 0.1 for control, observe the elimination effect of the steady-state error, avoid integral saturation, and the K corresponding to the optimal steady-state error elimination effect i is the finally determined K i value.

[0088] The rotational speed of the fan equipment can be dynamically adjusted according to the real-time methane concentration C(t), avoiding incomplete combustion caused by local oxygen deficiency in the combustion chamber and energy waste and temperature instability caused by excessive oxygen, so that the methane concentration in the combustion chamber can be maintained at the expected concentration value (such as 1.5%, and on this basis, an uncertainty of ±10% can be added, that is, the expected concentration value is 1.5% ± 10%).

[0089] It is worth mentioning that in the catalytic combustion chamber control method of this application, the catalytic combustion chamber control device can also finely adjust the weight of the combustion chamber temperature prediction model according to the latest working condition data of the catalytic combustion equipment, and at the same time can optimize the fuzzy rule base involved in the fuzzy proportional integral control method, etc., to improve the adaptability of the catalytic combustion chamber control method to the long-term fluctuations of the coalbed methane concentration (methane concentration).

[0090] It can be understood that in the catalytic combustion chamber control method provided by the embodiments of this application, the combustion chamber temperature prediction model can be trained through the operation samples of the catalytic combustion equipment; among them, the operation samples of the catalytic combustion equipment include methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within the second preset duration after the same moment. Thus, when controlling the catalytic combustion chamber, the methane data and combustion chamber temperature field parameters injected into the catalytic combustion equipment within the first preset duration before the current moment can be input into the above combustion chamber temperature prediction model to obtain the predicted data of the combustion chamber temperature field parameters within the second preset duration after the current moment. Through this predicted data, the methane switching valve and / or the fan rotational speed can be controlled in advance to avoid the temperature rise caused by the lag of the combustion chamber control, ensure that the temperature in the combustion chamber always remains within a safe range, not only can avoid the high-temperature inactivation of the catalyst, but also can extend the service life of the regenerative ceramic.

[0091] This application also provides a catalytic combustion chamber control device, please refer to Figure 3 , this catalytic combustion chamber control device includes:

[0092] An acquisition module 10 is configured to acquire methane data and combustion chamber temperature field parameters injected into a catalytic combustion device within a first preset duration before the current moment; wherein, the methane data includes a methane flow parameter and a methane concentration parameter;

[0093] A prediction module 20 is configured to input the methane data and the combustion chamber temperature field parameters into a combustion chamber temperature prediction model to obtain prediction data of the combustion chamber temperature field parameters within a second preset duration after the current moment for the catalytic combustion device; wherein, the combustion chamber temperature prediction model is trained by using operation samples of the catalytic combustion device, the operation samples of the catalytic combustion device include a methane flow parameter, a methane concentration parameter, and a combustion chamber temperature field parameter within a first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameter within a second preset duration after the same moment;

[0094] A control module 30 is configured to control a methane switching valve and / or a fan device of the catalytic combustion device based on the prediction data to adjust the methane content injected into the catalytic combustion device.

[0095] The catalytic combustion chamber control device provided in this application adopts the catalytic combustion chamber control method in the above embodiment, and can solve the technical problem of hysteresis in the control of the catalytic combustion chamber in the related art. Compared with the related art, the beneficial effects of the catalytic combustion chamber control device provided in this application are the same as those of the catalytic combustion chamber control method provided in the above embodiment, and other technical features in the above catalytic combustion chamber control device are the same as the features disclosed in the above embodiment method, and will not be elaborated herein.

[0096] This application provides a catalytic combustion chamber control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the catalytic combustion chamber control method in the first embodiment above.

[0097] Next, refer to Figure 4 , which shows a schematic structural diagram of a catalytic combustion chamber control device suitable for implementing the embodiments of this application. The catalytic combustion chamber control device in the embodiments of this application may include, but is not limited to, mobile terminals such as laptop computers, PADs (Portable Application Description: tablet computers), and fixed terminals such as desktop computers. Figure 4 The catalytic combustion chamber control device shown is only an example and should not impose any limitation on the functions and usage scope of the embodiments of this application.

[0098] As Figure 4As shown, the catalytic combustion chamber control device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the catalytic combustion chamber control device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the catalytic combustion chamber control device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a catalytic combustion chamber control device having various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems can be alternatively implemented or had.

[0099] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0100] The catalytic combustion chamber control device provided by the present application adopts the catalytic combustion chamber control method in the above-mentioned embodiment, and can solve the technical problem of hysteresis in the control of the catalytic combustion chamber in the related art. Compared with the related art, the beneficial effects of the catalytic combustion chamber control device provided by the present application are the same as those of the catalytic combustion chamber control method provided by the above-mentioned embodiment, and other technical features in the catalytic combustion chamber control device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0101] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0102] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0103] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the catalytic combustion chamber control method in the above embodiments.

[0104] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or combined with an instruction execution system or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0105] The above computer-readable storage medium can be included in the catalytic combustion chamber control device; it can also exist separately and not be assembled into the catalytic combustion chamber control device.

[0106] The above computer-readable storage medium carries one or more programs, which, when executed by the catalytic combustion chamber control device, cause the catalytic combustion chamber control device to: obtain methane data and combustion chamber temperature field parameters injected into the catalytic combustion device within a first preset duration before the current moment; wherein, the methane data includes a methane flow parameter and a methane concentration parameter; input the methane data and the combustion chamber temperature field parameters into a combustion chamber temperature prediction model to obtain prediction data of the combustion chamber temperature field parameters within a second preset duration after the current moment for the catalytic combustion device; wherein, the combustion chamber temperature prediction model is trained through operation samples of the catalytic combustion device, the operation samples of the catalytic combustion device include the methane flow parameter, the methane concentration parameter, and the combustion chamber temperature field parameters within a first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameters within a second preset duration after the same moment; based on the prediction data, control the methane switching valve and / or the fan device of the catalytic combustion device to adjust the methane content injected into the catalytic combustion device.

[0107] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0108] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0109] The modules described in the embodiments of the present application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0110] The readable storage medium provided by the present application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned catalytic combustion chamber control method, which can solve the technical problem of hysteresis in the control of the catalytic combustion chamber in the related art. Compared with the related art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as those of the catalytic combustion chamber control method provided by the above embodiments, and will not be elaborated here.

[0111] The present application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the steps of the catalytic combustion chamber control method as described above.

[0112] The computer program product provided by the present application can solve the technical problem of hysteresis in the control of the catalytic combustion chamber in the related art. Compared with the related art, the beneficial effects of the computer program product provided by the present application are the same as those of the catalytic combustion chamber control method provided by the above embodiments, and will not be elaborated here.

[0113] The above are only some embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A method for controlling a catalytic combustion chamber, characterized in that The described catalytic combustion chamber control method includes: Obtaining methane data and combustion chamber temperature field parameters injected into the catalytic combustion device within a first preset time period before the current moment; wherein, the methane data includes a methane flow parameter and a methane concentration parameter; Inputting the methane data and the combustion chamber temperature field parameters into a combustion chamber temperature prediction model to obtain prediction data of the combustion chamber temperature field parameters within a second preset time period after the current moment for the catalytic combustion device; wherein, the combustion chamber temperature prediction model is trained through operating samples of the catalytic combustion device, the operating samples of the catalytic combustion device include a methane flow parameter, a methane concentration parameter, and a combustion chamber temperature field parameter within a first preset time period before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameter within a second preset time period after the same moment; Based on the prediction data, controlling the methane switch valve and / or the fan device of the catalytic combustion device to adjust the methane content injected into the catalytic combustion device.

2. The catalytic combustion chamber control method according to claim 1, wherein The step of controlling the methane switch valve and / or the fan device of the catalytic combustion device based on the prediction data includes: Based on the prediction data, determining the temperature rise rate of the temperature field within the second preset time period; Based on the prediction data and / or the temperature rise rate, controlling the methane switch valve and / or the fan device of the catalytic combustion device.

3. The catalytic combustion chamber control method according to claim 2, wherein The prediction data includes the predicted maximum temperature value of the temperature field; The step of controlling the methane switch valve and / or the fan device of the catalytic combustion device based on the prediction data and / or the temperature rise rate includes: In the case where the predicted maximum temperature value is not less than a preset maximum temperature value, or the temperature rise rate is greater than a preset rise rate, adjusting the methane switch valve so that the methane flow rate injected into the catalytic combustion device reaches a preset threshold, and controlling the rotational speed of the fan device to increase to reduce the combustion chamber temperature.

4. The catalytic combustion chamber control method according to claim 2, wherein, The prediction data includes the predicted average temperature value of the temperature field; The step of controlling the methane switch valve and / or the fan device of the catalytic combustion device based on the prediction data and / or the temperature rise rate includes: In the case where the predicted average temperature value is within a preset temperature range and the temperature rise rate is within a preset temperature rise range, adopting a fuzzy proportional integral control method, based on the difference between the predicted average temperature value and a preset average temperature value and the temperature rise rate, determining the methane flow rate adjustment amount, and controlling the methane switch valve based on the methane flow rate adjustment amount; wherein, the preset temperature range is a range determined by adding and subtracting a preset temperature from the preset average temperature value; In the case where the predicted average temperature value is less than the left endpoint value of the preset temperature range and the temperature rise rate is less than the left endpoint value of the preset temperature rise range, adopting a feedforward-feedback composite control method to control the methane switch valve and / or the fan device.

5. The catalytic combustion chamber control method according to claim 1, characterized in that After the step of controlling the methane switch valve and / or the fan device of the catalytic combustion device based on the prediction data, it further includes: Based on Calculation Formula 1 and the methane concentration parameter, control the rotation speed of the fan equipment so that the methane concentration in the combustion chamber is maintained at the expected concentration value; The first calculation formula is as follows: where N(t) is the rotational speed control value of the fan equipment, N base is the base rotational speed of the fan equipment, C set is the expected concentration value of methane, C(t) is the current methane concentration parameter, K p is the proportional adjustment coefficient, K i is the integral adjustment coefficient.

6. The catalytic combustion chamber control method according to any one of claims 1 to 5, characterized in that Before the step of inputting the methane data and the combustion chamber temperature field parameter into the combustion chamber temperature prediction model to obtain the prediction data of the combustion chamber temperature field parameter within the second preset duration after the current moment for the catalytic combustion equipment, the following steps are further included: Inject methane corresponding to different methane data into the catalytic combustion equipment; For each different methane data, obtain the local temperature parameters of the combustion chamber of the catalytic combustion equipment at different moments; wherein, the local temperature parameters are monitored by temperature probes installed axially inside and outside the combustion chamber; For each different moment, perform thermodynamic simulation on the combustion chamber based on the local temperature parameters to obtain the combustion chamber temperature field parameters corresponding to the local temperature parameters; Based on the methane data and the combustion chamber temperature field parameters, construct a sample data set; wherein, the sample data set includes multiple groups of methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset duration before the same moment, and corresponding multiple groups of combustion chamber temperature field parameters within the second preset duration after the same moment; Train the initial model based on the sample data set to obtain the combustion chamber temperature prediction model.

7. A catalytic combustion chamber control device, characterized in that, The catalytic combustion chamber control device includes: An acquisition module for acquiring methane data and combustion chamber temperature field parameters injected into the catalytic combustion equipment within the first preset duration before the current moment; wherein, the methane data includes methane flow parameters and methane concentration parameters; A prediction module for inputting the methane data and the combustion chamber temperature field parameter into the combustion chamber temperature prediction model to obtain the prediction data of the combustion chamber temperature field parameter within the second preset duration after the current moment for the catalytic combustion equipment; wherein, the combustion chamber temperature prediction model is trained by operation samples of the catalytic combustion equipment, the operation samples of the catalytic combustion equipment include methane flow parameters, methane concentration parameters, and combustion chamber temperature field parameters within the first preset duration before the same moment, and the label value of the combustion chamber temperature prediction model is the combustion chamber temperature field parameter within the second preset duration after the same moment; A control module for controlling the methane switching valve and / or the fan equipment of the catalytic combustion equipment based on the prediction data to adjust the methane content injected into the catalytic combustion equipment.

8. A catalytic combustion chamber control device, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the catalytic combustion chamber control method according to any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by the processor, it implements the steps of the catalytic combustion chamber control method according to any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program which, when executed by a processor, implements the steps of the catalytic combustion chamber control method according to any one of claims 1 to 6.

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