Low-heating-value associated gas low-nitrogen closed combustion and purification system

Abstract

The invention discloses a low-calorific-value associated gas low-nitrogen closed combustion and purification system, and relates to the technical field of energy and environmental protection, the system comprises a fuel proportioning module used for obtaining methane concentration data and flow data of low-calorific-value associated gas, determining the mixing proportion of auxiliary ignition fuel, performing fuel proportioning adjustment on the low-calorific-value associated gas, and controlling the fuel proportion of the low-calorific-value associated gas to be higher than that of the low-calorific-value associated gas; the air-fuel ratio regulation and control module is used for acquiring combustion supporting substance supply quantity data, calculating and determining an air-fuel ratio, and adopting the air-fuel ratio to preprocess the low-heating-value associated gas subjected to proportion adjustment so as to generate mixed gas to be ignited; according to the low-heating-value associated gas low-nitrogen closed combustion and purification system, a multi-parameter cooperative control mechanism is established, parameters of all links are coordinated through a precise feedback system, and efficient, stable and environment-friendly associated gas combustion treatment is achieved.

Description

Technical Field

[0001] The present invention relates to the technical fields of energy and environmental protection, and particularly to a low-nitrogen closed combustion and purification system for low-calorific-value associated gas. Background Art

[0002] During the treatment process of low-calorific-value associated gas, the stability of the combustion system and pollutant control face multiple technical challenges. Existing technologies usually achieve the effective combustion and utilization of associated gas through means such as auxiliary ignition fuel blending, air-fuel ratio adjustment, and pretreatment process control. However, in practical applications, due to the large fluctuations in methane concentration in the associated gas, it is difficult to accurately control the blending ratio of auxiliary fuel in real time, resulting in a decrease in the stability of the combustion process. In severe cases, flameout or incomplete combustion may even occur.

[0003] In addition, the adjustment of the air-fuel ratio usually depends on the real-time monitoring data of the gas flow rate and the supply amount of the combustion-supporting substance (such as air or oxygen). However, existing systems have deficiencies in the accuracy and response speed of data acquisition, which easily lead to adjustment lags, resulting in a decrease in combustion efficiency or excessive emissions. During the ignition stage, to ensure safety and complete combustion, the combustion chamber needs to be purged, and a reasonable ignition temperature threshold needs to be set. However, there are often contradictions between the two: excessive purging will prolong the startup time and increase energy consumption; while setting the threshold too low may lead to ignition failure or the formation of an unstable flame. In addition, the adjustment of the air-fuel ratio usually depends on the real-time monitoring data of the gas flow rate and the supply amount of the combustion-supporting substance (such as air or oxygen). However, existing systems have deficiencies in the accuracy and response speed of data acquisition, which easily lead to adjustment lags, resulting in a decrease in combustion efficiency or excessive emissions. During the ignition stage, to ensure safety and complete combustion, the combustion chamber needs to be purged, and a reasonable ignition temperature threshold needs to be set. However, there are often contradictions between the two: excessive purging will prolong the startup time and increase energy consumption; while setting the threshold too low may lead to ignition failure or the formation of an unstable flame. Summary of the Invention

[0004] The purpose of the present invention is to provide a low-nitrogen closed combustion and purification system for low-calorific-value associated gas, establish a multi-parameter collaborative control mechanism, and coordinate the parameters of each link through a precise feedback system to achieve efficient, stable, and environmentally friendly combustion treatment of associated gas.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A low-nitrogen closed combustion and purification system for low-calorific-value associated gas, the system includes:

[0006] A fuel ratio module, configured to obtain the methane concentration data and flow rate data of the low-calorific-value associated gas, determine the blending ratio of the auxiliary ignition fuel, and adjust the fuel ratio of the low-calorific-value associated gas.

[0007] An air-fuel ratio control module for obtaining the data of the supply amount of the combustion-supporting substance, calculating and determining the air-fuel ratio, and preprocessing the low-calorific-value associated gas after ratio adjustment with the air-fuel ratio to generate a mixed gas to be ignited;

[0008] A closed environment management module for obtaining the data of the closed combustion environment, removing combustibles in the closed space by controlling the purging device, and determining the temperature threshold required for ignition according to the environmental data;

[0009] An ignition control module for controlling the high-energy ignition device to ignite the preprocessed mixed gas, and detecting the initial flame temperature through a flame monitoring device to determine whether the set ignition temperature threshold is reached;

[0010] A stable combustion regulation module for obtaining the data of the methane content in the gas and the oxygen content in the flue gas during the combustion process, and adjusting the intake parameters of the combustion equipment accordingly, and using flameless combustion technology to stably control the combustion process;

[0011] A combustion-supporting optimization module for determining the combustion-supporting air volume of the combustion equipment according to the oxygen content data in the flue gas, and performing real-time linkage adjustment of the combustion-supporting air volume and the intake parameters through a precise combustion control device to maintain the stable state of the main flame;

[0012] A boundary and emission control module for obtaining the flue gas component data in the combustion state, controlling the flame retardant device to restrict the flame boundary, and determining whether the nitrogen oxide concentration is lower than the preset threshold;

[0013] A flue gas purification module for post-processing the combustion products through a flue gas purification device when the nitrogen oxide concentration meets the requirements, and outputting the purified target flue gas to the environment through an emission channel.

[0014] Preferably, the fuel ratio module obtains the methane concentration data and flow data of the low-calorific-value associated gas, and determines the blending ratio of the auxiliary ignition fuel. The fuel ratio adjustment of the low-calorific-value associated gas includes:

[0015] Obtain the methane concentration data and flow rate data of low-calorie associated gas, record the real-time values through the sensor acquisition system to obtain the basic data sets of concentration and flow rate, analyze and process the methane concentration data through concentration analysis, use the support vector machine algorithm to classify the concentration change trend, judge the concentration interval distribution, calculate the ignition proportion according to the concentration interval distribution, if the methane concentration is lower than the preset threshold, increase the proportion of auxiliary fuel to obtain the ignition proportion parameter, use the flow rate data combined with the ignition proportion parameter, predict the fuel blending demand through the linear regression algorithm, determine the blending ratio value, adjust the fuel ratio according to the blending ratio value, automatically update the ratio adjustment parameter to obtain the optimized fuel ratio plan, perform fuel blending on the low-calorie gas through the optimized fuel ratio plan, use the real-time monitoring tool to verify the execution effect of the blending ratio, judge the completion degree of ratio adjustment, obtain the verified data of the completion degree of ratio adjustment, analyze the stability of the low-calorie gas of the associated gas source through data comparison, and determine the final fuel ratio result.

[0016] Preferably, the air-fuel ratio control module obtains the data of the supply amount of the combustion-supporting substance, calculates and determines the air-fuel ratio, and uses the air-fuel ratio to preprocess the low-calorie associated gas after ratio adjustment to generate the mixed gas to be ignited, including:

[0017] Obtain the data of the supply amount of the combustion-supporting substance and the flow rate data, collect the real-time values through the sensor to obtain the initial data set. Calculate the air-fuel ratio through the initial data set, and use the formula A = F / C, where A represents the air-fuel ratio, F represents the flow rate data, and C represents the supply amount of the combustion-supporting substance, to obtain the air-fuel ratio value. Judge the ratio state according to the air-fuel ratio value. If the air-fuel ratio exceeds the preset range, change the input amount of the associated gas by adjusting the valve to obtain the adjusted ratio data. Preprocess the low-calorie associated gas with the adjusted ratio data, generate a uniformly mixed gas through the mixing device to obtain the preprocessed mixture. Detect the uniformity of the preprocessed mixture. If the uniformity is lower than the preset threshold, optimize the mixing using the stirring device to obtain the optimized mixed gas. Obtain the composition parameters of the optimized mixed gas, confirm that it meets the ignition conditions through the analysis device to obtain the mixed gas to be ignited, and perform a final verification on the mixed gas to be ignited. Judge its stability through the simulated ignition test to obtain the final confirmation result.

[0018] Preferably, the closed environment management module obtains the data of the closed combustion environment, clears the combustibles in the closed space by controlling the purging device, and determines the temperature threshold required for ignition according to the environmental data, including:

[0019] Collect the combustion environment data in the closed environment through sensors to obtain real-time data. Use data analysis technology to process the real-time data to determine the combustible content in the combustion environment. If the combustible content exceeds the preset threshold, activate the purging device to remove the combustibles, obtain the environmental monitoring data after the removal process, determine whether the combustibles are below the safety threshold, calculate the optimal conditions before ignition through the environmental monitoring data to obtain the ignition temperature range, and use machine learning algorithms to optimize the temperature threshold according to the ignition temperature range and real-time data to determine the final threshold. Adjust the combustion environment parameters according to the threshold determination result to complete the preparation before ignition.

[0020] Preferably, the ignition control module controls the high-energy ignition device to ignite the pretreated mixed gas, and detects the initial flame temperature through the flame monitoring device. Determining whether the set ignition temperature threshold is reached includes:

[0021] Perform an ignition operation on the adjusted low calorific value associated gas through the high-energy ignition device to generate an initial flame. Use the flame monitoring device to perform real-time temperature detection on the initial flame to obtain temperature data. If the temperature data reaches the preset ignition temperature threshold, record the flame generation status through the data processing unit. According to the flame generation status, use the support vector machine algorithm to classify and judge the stability of the temperature data to determine whether the flame continues. Obtain the flame duration and temperature change trend through the monitoring device to determine whether the stable combustion condition is met. If the temperature change trend exceeds the preset range, predict the flame decay time through the regression analysis algorithm to obtain the adjustment requirement, and update the ratio adjustment parameters according to the adjustment requirement to generate an optimized ignition control scheme.

[0022] Preferably, the stable combustion regulation module obtains the gas methane content data and flue gas oxygen content data during the combustion process, and adjusts the intake parameters of the combustion equipment accordingly. Using flameless combustion technology to stably control the combustion process includes:

[0023] Obtain the gas methane content data and flue gas oxygen content data during the combustion process. Collect the original data set in real time through sensors. Separate the gas methane content data from the original data set. Use data cleaning technology to process the outliers to obtain the methane data for adjustment. Calculate the change range of the intake parameters according to the adjusted methane data. Use the preset mapping function to determine the intake parameter adjustment value. Update the operating state of the combustion equipment through the intake parameter adjustment value. Use flameless combustion technology to generate a stable combustion flame. Obtain the flue gas oxygen content data of the stable combustion flame. Judge the oxygen content change trend through the detection device. According to the oxygen content change trend, use the support vector machine algorithm to analyze the stability of the combustion process to obtain the stability index value. If the stability index value is lower than the preset threshold, readjust the intake parameters through the gas methane content data to generate an optimized combustion state.

[0024] Preferably, the combustion-aid optimization module determines the combustion-aid air volume of the combustion equipment according to the oxygen content data of the flue gas, and through the precise combustion control device, the combustion-aid air volume and the intake parameters are adjusted in real-time linkage to maintain the stable state of the main flame, including:

[0025] Obtain the oxygen content data of the flue gas through a sensor, determine the combustion-aid air volume requirement of the combustion equipment, process the oxygen content data of the flue gas by using a data analysis method, judge the adjustment range of the combustion-aid air volume, adjust the combustion-aid air volume through the precise control device, obtain the optimized intake parameters, adjust the operation state of the combustion equipment according to the intake parameters, and obtain a stable main flame state. If the main flame state deviates from the preset threshold, then the combustion-aid air volume and the intake parameters are adjusted in real-time through the control device, use a machine learning algorithm to analyze the change trend of the combustion state, determine the parameter optimization scheme, update the control device command through the combustion state feedback data, and obtain a continuous and stable output.

[0026] Preferably, the boundary and emission control module obtains the flue gas composition data under the combustion state, controls the flame retardant device to constrain the flame boundary, and judges whether the nitrogen oxide concentration is lower than the preset threshold, including:

[0027] Obtain the flue gas composition data in the combustion state, collect real-time information through a sensor to obtain the original data set of the flue gas composition, constrain the flame boundary through the flame retardant device, adjust the device parameters by using a control algorithm, determine the changed data of the flue gas composition after boundary constraint, conduct a composition analysis on the changed data, extract the nitrogen oxide characteristics by using a spectral analysis method to obtain the nitrogen oxide concentration value. If the nitrogen oxide concentration value is higher than the preset threshold, then calculate the deviation through the information processing link, judge the degree of concentration exceeding the standard, adjust the operation parameters of the flame retardant device according to the deviation data, optimize the boundary constraint by using a feedback mechanism to obtain the updated flue gas composition data, re-analyze the nitrogen oxide concentration by using the updated data, use the same spectral analysis method to determine whether the final concentration is lower than the preset threshold. If the final concentration is still higher than the preset threshold, then generate an adjustment log by recording the deviation trend to obtain a reference basis for subsequent optimization.

[0028] Preferably, when the nitrogen oxide concentration meets the requirements, the flue gas purification module performs post-treatment on the combustion products through a flue gas purification device, and outputs the purified target flue gas to the environment through an emission channel, including:

[0029] If the concentration of nitrogen oxides is lower than the preset threshold, the content data of nitrogen oxides in the flue gas is obtained through a sensor to determine the concentration value. The concentration value is compared with the threshold through a preset threshold judgment module to determine whether to enter the purification process. If the judgment result is lower than the threshold, the flue gas is processed by a flue gas purification device to obtain the purified intermediate flue gas. A flue gas analyzer is used to detect the flue gas components in the intermediate flue gas to determine whether the purification efficiency meets the standard. If the purification efficiency meets the standard, the intermediate flue gas is output through the discharge channel to obtain the target flue gas. According to the flow monitoring data of the discharge channel, the output status of the target flue gas is obtained to judge whether the output control is normal. By recording the output status and purification efficiency data, a real-time processing log is generated and stored in the database.

[0030] Preferably, it further includes a manual valve, a vapor-liquid separation device, a safety valve, a flame arrester, a pressure reducing device, a cyclone separation device, a flow device, a voltage stabilizing device and a gas main pipeline valve group connected in sequence. The gas main pipeline valve group is respectively connected with a gas branch pipeline valve group and a swirl device, and the swirl device is connected to a closed combustion chamber;

[0031] The gas branch pipeline valve group is also connected to the closed combustion chamber for supplying gas to multiple branches;

[0032] The gas main pipeline valve group is also connected to an electric valve, and the electric valve is connected to a blower. The blower is used to provide combustion-supporting air and is communicated with the swirl device through a combustion-supporting air path;

[0033] A first manual valve is provided at the front end of the vapor-liquid separation device, and the rear end is sequentially connected with a safety valve and a flame arrester;

[0034] After the gas is sequentially processed by the above components, it enters the swirl device to be fully mixed with the combustion-supporting air and is finally sent into the closed combustion chamber to achieve low-nitrogen combustion.

[0035] It can be seen from the above technical solutions that the present invention has the following beneficial effects:

[0036] The low-calorific-value associated gas low-nitrogen closed combustion and purification system can obtain methane concentration and flow data in real time through the fuel ratio module, accurately determine the blending ratio of the auxiliary ignition fuel, significantly enhance the calorific value stability of the fuel mixture, and reduce the risk of flameout or incomplete combustion caused by concentration fluctuations. It is equipped with an air-fuel ratio control module, which dynamically adjusts the premixing ratio based on real-time combustion-supporting substance supply data and gas state, overcomes the problem of response lag in existing systems, improves combustion efficiency, and reduces the probability of abnormal emissions. Through the closed environment management module combined with purge control and ignition temperature threshold setting, it realizes risk elimination before ignition and automatic judgment of ignition conditions, avoids increased energy consumption caused by excessive purging, and ensures the ignition success rate and the stability of flame formation. The stable combustion adjustment module effectively suppresses unstable flame boundaries and combustion pulsation by collecting methane content and flue gas oxygen content data in real time and cooperating with flameless combustion technology, significantly improving the system's adaptability to low-calorific-value gases. The boundary and emission control module combines flame boundary constraint and flue gas component detection to effectively control the temperature field and oxygen content in the combustion area, suppress NO x generation from the source, and further reduces the emission level by cooperating with precise combustion-supporting adjustment. The flue gas purification module not only starts the post-treatment process when the nitrogen oxide concentration meets the standard, but also can judge the purification efficiency based on the flue gas analyzer, and form a complete output monitoring and logging mechanism in combination with the flow state of the emission channel, providing data support for environmental protection supervision and system optimization. A logical closed loop is constructed among the modules to realize the full-process automatic control of "detection - judgment - adjustment - feedback - record", enhancing the adaptability, robustness and operation intelligence level of the system, and meeting the requirements of clean utilization of low-calorific-value gases under complex working conditions. Brief Description of the Drawings

[0037] Figure 1 It is a connection diagram of the system modules of the present invention;

[0038] Figure 2 It is a process flow diagram of the present invention.

[0039] In the figure: 1. Manual valve; 2. Vapor-liquid separation device; 3. Safety valve; 4. Flame arrester; 5. Pressure reducing device; 6. Cyclone separator; 7. Flow device; 8. Pressure stabilizing device; 9. Fan; 10. Electric valve; 11. Vortex device; 12. Gas branch pipeline valve group; 13. Gas main pipeline valve group; 14. Closed combustion chamber. Detailed Embodiments

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] As Figure 1 and Figure 2 shown, the present invention provides a technical solution: a low-calorific-value associated gas low-nitrogen closed combustion and purification system, the system comprising:

[0042] A fuel ratio module, configured to obtain methane concentration data and flow data of the low-calorific-value associated gas, determine the blending ratio of the auxiliary pilot fuel, and adjust the fuel ratio of the low-calorific-value associated gas;

[0043] An air-fuel ratio control module, configured to obtain the supply amount data of the combustion-supporting substance, calculate and determine the air-fuel ratio, and preprocess the low-calorific-value associated gas after ratio adjustment with the air-fuel ratio to generate a mixed gas to be ignited;

[0044] A closed environment management module, configured to obtain data of the closed combustion environment, remove combustibles in the closed space by controlling a purging device, and determine the temperature threshold required for ignition according to the environmental data;

[0045] An ignition control module, configured to control a high-energy ignition device to ignite the preprocessed mixed gas, and detect the initial flame temperature through a flame monitoring device to determine whether the set ignition temperature threshold is reached;

[0046] A stable combustion regulation module, configured to obtain gas methane content data and flue gas oxygen content data during the combustion process, and accordingly adjust the intake parameters of the combustion equipment, and stably control the combustion process by using flameless combustion technology;

[0047] A combustion-supporting optimization module, configured to determine the combustion-supporting air volume of the combustion equipment according to the flue gas oxygen content data, and perform real-time linkage adjustment on the combustion-supporting air volume and the intake parameters through a precise combustion control device to maintain the stable state of the main flame;

[0048] A boundary and emission control module, configured to obtain flue gas composition data in the combustion state, control a flame retardant device to constrain the flame boundary, and determine whether the nitrogen oxide concentration is lower than a preset threshold;

[0049] A flue gas purification module, configured to, when the nitrogen oxide concentration meets the requirements, perform post-treatment on the combustion products through a flue gas purification device, and output the purified target flue gas to the environment through an emission channel.

[0050] The system is based on multi-dimensional precise regulation and intelligent response control of the characteristics of low-calorific-value associated gas. The overall process realizes closed-loop regulation from fuel acquisition and proportioning, preparation of mixed gas, to ignition control, stabilization of combustion process, boundary constraint and flue gas purification. The fuel proportioning module detects the methane concentration and gas flow rate, and reasonably mixes auxiliary fuels such as propane and butane to increase the overall calorific value. The air-fuel ratio regulation module obtains oxygen or air supply data through flow meters and sensors, and optimizes the air-fuel ratio based on algorithms to improve combustion efficiency and inhibit the generation of nitrogen oxides. The closed environment management module monitors the combustible residue in the closed combustion chamber, and conducts inert gas purging or pressure replacement through controlling the purging device to ensure a safe ignition environment and set the ignition threshold. The ignition control module uses a high-energy ignition device to ignite the mixed gas, and the flame monitoring device transmits the initial ignition temperature data in real time to judge whether the ignition is successful. The stable combustion regulation module, based on flameless combustion technology (such as premixed diffusion combustion), dynamically adjusts the intake air volume and gas concentration according to the methane concentration of the gas and the oxygen content in the flue gas to maintain the uniformity and stability of combustion. The combustion support optimization module conducts coordinated control of the combustion support air volume and intake conditions, and maintains the stability of the main flame structure through feedback regulation to prevent flashback or blowout. The boundary and emission control module uses flame detection and component analyzers to monitor the flame expansion area and flue gas components, controls the flame retardant device to limit the flame boundary, ensures combustion safety and timely judges whether the nitrogen oxides are below the threshold. The flue gas purification module, on the premise of meeting the emission standards, treats the flue gas through purification means such as denitration devices and filtration systems, and discharges the flue gas into the environment through a dedicated emission channel.

[0051] The system realizes the efficient, safe and environmentally friendly closed combustion treatment of low-calorific-value associated gas. Compared with the traditional open-flame combustion system, it has obvious advantages in terms of fuel adaptability, safety control accuracy, low-nitrogen emission efficiency and system integration intelligence. Through modular configuration, precise regulation of fuel quality and optimization of air-fuel ratio are achieved, greatly improving combustion efficiency and reducing pollutant generation. The closed environment and ignition monitoring system ensure the stability and safety of the operation process. The coordinated action of the stable combustion and combustion support modules keeps the combustion process always under control, reducing incomplete combustion and safety risks. The flue gas purification module ensures that the emissions meet environmental protection standards, effectively solves the problem of excessive nitrogen oxides caused by the combustion of associated gas, improves the overall environmental protection and adaptability of the system, and is applicable to various natural gas development scenarios such as oil fields, coalbed methane, and shale gas.

[0052] The fuel proportioning module obtains the methane concentration data and flow rate data of the low-calorific-value associated gas, and determines the mixing ratio of the auxiliary ignition fuel. The fuel proportioning adjustment of the low-calorific-value associated gas includes:

[0053] Obtain the methane concentration data and flow rate data of low-calorie associated gas, record the real-time values through the sensor acquisition system to obtain the basic data sets of concentration and flow rate, analyze and process the methane concentration data through concentration analysis, use the support vector machine algorithm to classify the concentration change trend, judge the concentration interval distribution, calculate the ignition proportion according to the concentration interval distribution, if the methane concentration is lower than the preset threshold, increase the proportion of auxiliary fuel to obtain the ignition proportion parameter, use the flow rate data combined with the ignition proportion parameter, predict the fuel blending demand through the linear regression algorithm, determine the blending proportion value, adjust the fuel ratio according to the blending proportion value, automatically update the ratio adjustment parameter to obtain the optimized fuel ratio plan, perform fuel blending on the low-calorie gas according to the optimized fuel ratio plan, use the real-time monitoring tool to verify the execution effect of the blending proportion, judge the completion degree of the ratio adjustment, obtain the verified ratio adjustment completion degree data, analyze the stability of the low-calorie gas of the associated gas source through data comparison, and determine the final fuel ratio result.

[0054] In this embodiment, the fuel ratio module realizes the dynamic fuel blending control of low-calorie associated gas by constructing a data processing flow with sensor data as the input and intelligent algorithms as the core. The methane concentration and gas flow rate are recorded in real time by the sensor acquisition system as the core parameters, constituting the basic data sets of concentration and flow rate. Through concentration analysis, identify the methane concentration interval of the current gas source, use the support vector machine algorithm to establish a concentration change trend model, and realize the intelligent classification and prediction of the concentration interval. When it is detected that the methane concentration is lower than the set threshold, the system automatically generates the ignition proportion parameter and increases the proportion of auxiliary fuel. Subsequently, the system introduces the linear regression algorithm to jointly analyze the ignition proportion and flow rate data, predict the total amount of fuel blending actually required, and accurately generate the blending proportion value. This value is used to automatically adjust the fuel blending proportion, and the internal parameters of the system are updated synchronously to generate the optimized fuel ratio plan. The entire blending process is supervised in real time by an online monitoring tool, and the execution effect of the blending is quantitatively evaluated to judge whether the adjustment achieves the preset goal. After the ratio adjustment is completed, by comparing the historical and current blending data, evaluate the calorific value fluctuation of the gas source, and then determine the stability and effectiveness of the final ratio plan.

[0055] In this embodiment, by introducing the support vector machine and linear regression algorithms, the fuel blending adjustment process is transformed from rule-driven to data-driven, improving the adaptive ability and response speed of the fuel ratio strategy. Compared with traditional manual estimation or empirical formulas, this method can accurately respond to the fluctuations in the composition of low-calorific-value gas, effectively ensuring the ignition success rate and combustion efficiency, and avoiding incomplete combustion or ignition failure caused by insufficient methane content. At the same time, the optimized ratio strategy ensures the stability and continuity of the system operation through real-time monitoring and feedback mechanisms, improving the intelligence and automation level of the combustion system. Further, through the historical trend analysis of the stability of low-calorific-value gas, data support is provided for upstream gas source management to achieve the optimization of production and supply linkage.

[0056] The air-fuel ratio control module obtains the data of the supply amount of the combustion-supporting substance, calculates and determines the air-fuel ratio, and preprocesses the low-calorific-value associated gas after ratio adjustment using this air-fuel ratio to generate the mixed gas to be ignited, including:

[0057] Obtain the data of the supply amount of the combustion-supporting substance and the flow data, collect real-time values through sensors to obtain the initial data set. Calculate the air-fuel ratio through the initial data set, using the formula A = F / C, where A represents the air-fuel ratio, F represents the flow data, and C represents the supply amount of the combustion-supporting substance, to obtain the air-fuel ratio value. Judge the ratio state according to the air-fuel ratio value. If the air-fuel ratio exceeds the preset range, change the input amount of the associated gas by adjusting the valve to obtain the adjusted ratio data. Preprocess the low-calorific-value associated gas using the adjusted ratio data, generate a uniformly mixed gas through a mixing device to obtain the preprocessed mixture. Detect the uniformity of the preprocessed mixture. If the uniformity is lower than the preset threshold, optimize the mixing using a stirring device to obtain the optimized mixed gas. Obtain the composition parameters of the optimized mixed gas, confirm that it meets the ignition conditions through an analysis device to obtain the mixed gas to be ignited. Conduct a final verification on the mixed gas to be ignited, and judge its stability through a simulated ignition test to obtain the final confirmation result.

[0058] In this embodiment, the air-fuel ratio control module constructs a set of closed-loop air-fuel ratio calculation and preprocessing system. First, the system collects the supply data of the combustion-supporting substance (such as air or oxygen) and the gas flow data in real time through sensors to form an initial data set. Calculate the current air-fuel ratio A through the formula A = F / C to evaluate the rationality of the mixing state. If the air-fuel ratio exceeds the set threshold range, the system immediately issues an adjustment instruction, controls the intake flow of associated gas by adjusting the valve, recalculates the ratio data and performs preprocessing on the gas and the combustion-supporting substance. In the preprocessing stage, a mixing device (such as a static mixer) is used for preliminary gas mixing to generate a preprocessed mixture. Subsequently, the uniformity of the mixed gas is detected by a sensor. If the mixing degree does not meet the requirements, a stirring device (such as a vortex stirrer or a high-speed pneumatic stirrer) is enabled for secondary mixing to optimize the gas uniformity. The optimized mixed gas is detected for its composition distribution through a composition analysis device (such as an infrared gas analyzer) to ensure that it meets the ignition flammability requirements, and finally a mixed gas to be ignited is formed. To ensure the stability of the system, the combustion reaction of the mixed gas is further tested by simulating the ignition environment to evaluate its initial ignition response and stable combustion ability, and a final ignition confirmation feedback is formed.

[0059] This embodiment significantly improves the ignition adaptability and combustion consistency of the low-calorific-value associated gas mixed gas by accurately calculating the air-fuel ratio and establishing a real-time regulation and mixing optimization process. The dynamic regulation mechanism of the air-fuel ratio ensures that the mixed gas can maintain a good combustion state under various flow fluctuations or component changes; the mixing uniformity detection and optimization mechanism avoids phenomena such as incomplete combustion and hot spot combustion, effectively improving the combustion efficiency and system stability. The flammability and stability of the mixture are further verified through the simulated ignition test, making the final ignition more reliable, effectively preventing ignition failure or delay, and providing strong guarantee for the subsequent operation of the combustion system. In addition, this solution improves the automation and intelligence level of the system, is applicable to multi-type low-calorific-value gas preprocessing scenarios, and enhances the system versatility and industrial adaptability.

[0060] The closed environment management module obtains the data of the closed combustion environment, clears the combustibles in the closed space by controlling the purging device, and determines the temperature threshold required for ignition according to the environmental data, including:

[0061] Collect the combustion environment data in the enclosed environment through sensors to obtain real-time data. Use data analysis technology to process the real-time data to determine the combustible content in the combustion environment. If the combustible content exceeds the preset threshold, activate the purging device to remove the combustibles. Obtain the environmental monitoring data after the removal process, and judge whether the combustibles are below the safety threshold. Calculate the optimal conditions before ignition through the environmental monitoring data to obtain the ignition temperature range. According to the ignition temperature range and the real-time data, use machine learning algorithms to optimize the temperature threshold to determine the final threshold. Adjust the combustion environment parameters according to the threshold determination result to complete the preparation before ignition.

[0062] In this embodiment, the enclosed environment management module realizes the precise control of the environment before ignition through the full-process dynamic monitoring and intelligent decision-making of the combustion environment in the enclosed space. First, the system collects key environmental parameters such as oxygen concentration, combustible gas concentration, temperature, and pressure through a sensor array arranged in the enclosed combustion chamber to form a real-time data stream. The data analysis system performs feature extraction and pattern recognition on these real-time data to judge the overall content of combustibles in the current environment. If the combustible content exceeds the set safety threshold, the system automatically triggers the purging device to thoroughly clean the enclosed space by injecting inert gases (such as nitrogen or carbon dioxide) or forced exhaust. During the removal process, the system continuously monitors the environmental changes and obtains a new round of environmental monitoring data after purging. This data is used to confirm whether the combustibles have dropped to the safe range and calculate the initial conditions most suitable for ignition, including the combined states of pressure, temperature, and gas concentration. Based on this initial condition and the system historical data, machine learning algorithms (such as random forest or gradient boosting tree) are used to predict the optimal ignition temperature range and dynamically optimize the temperature threshold. Finally, the determined temperature threshold is used to guide the ignition preparation, such as adjusting the preheating device or the controller, to ensure that the ignition operation is executed within the safest and most effective window.

[0063] This embodiment significantly improves the safety and success rate before ignition of low-calorie gas by constructing a complete enclosed environment assessment and management chain. The real-time collection of sensors combined with data analysis improves the sensitivity of perception to the changes in the combustion environment state. The automatic purging mechanism effectively prevents the risks of explosion or combustion out of control caused by improper gas mixing concentration before ignition. The introduction of machine learning algorithms improves the prediction accuracy of the temperature threshold, breaks through the limitations of traditional static empirical settings, and realizes the personalized and intelligent adjustment of ignition conditions. The highly automated and closed-loop control characteristics of the entire process reduce the dependence on human intervention, improve the system operation efficiency and safety level. This solution is especially applicable to gas application scenarios in high-risk enclosed environments such as oil and gas wellheads and high-pressure combustion chambers.

[0064] The ignition control module controls the high-energy ignition device to ignite the pre-treated mixed gas, and detects the initial flame temperature through the flame monitoring device to determine whether the set ignition temperature threshold is reached, including:

[0065] The high-energy ignition device performs an ignition operation on the low-calorific value associated gas after ratio adjustment to generate an initial flame. The flame monitoring device is used to perform real-time temperature detection on the initial flame to obtain temperature data. If the temperature data reaches the preset ignition temperature threshold, the data processing unit records the flame generation state. According to the flame generation state, the support vector machine algorithm is used to classify and judge the stability of the temperature data to determine whether the flame continues. The flame duration and temperature change trend are obtained through the monitoring device to judge whether the stable combustion condition is satisfied. If the temperature change trend exceeds the preset range, the regression analysis algorithm is used to predict the flame decay time to obtain an adjustment requirement, and the ratio adjustment parameter is updated according to the adjustment requirement to generate an optimized ignition control scheme.

[0066] In this embodiment, the high-energy ignition device and the flame monitoring technology work together to construct an intelligent feedback mechanism for ignition control. First, after the ratio adjustment and pre-treatment are completed, the high-energy ignition device (such as a plasma igniter, an electric spark generator) ignites the mixed gas to form an initial flame. Immediately after ignition, the flame monitoring device (such as an infrared thermal imager, an ultraviolet flame detector) is started to collect the temperature data of the initial flame and compare it with the ignition temperature threshold set in the system. If the monitored flame temperature reaches or exceeds the threshold, the flame formation state is recorded and the next stage of evaluation is entered. The system uses the support vector machine algorithm to classify the real-time temperature data sequence to judge whether the flame temperature is stable, and then judge whether the flame has persistence. If the flame can continue, the flame duration and temperature change trend data are obtained to judge whether the stable combustion condition is satisfied. If the temperature change curve shows a sharp fluctuation or a downward trend, it indicates that the flame may face the risk of attenuation. At this time, the regression analysis algorithm is introduced to predict the flame decay time. Combining the prediction results, the system generates an adjustment requirement and updates the fuel ratio or intake parameters, and finally forms a new ignition control strategy to realize the dynamic optimization and closed-loop control of the ignition process.

[0067] Through the integration of high-energy ignition, flame detection, and intelligent algorithm analysis, the success rate of ignition of low-calorific-value gas and the stability in the initial stage of combustion are effectively improved. The support vector machine algorithm realizes the pattern recognition and classification of flame temperature data, enabling the system to keenly identify the stability problems in the initial stage of ignition and promptly warn of abnormal combustion. Regression analysis assists in predicting the flame trend, providing a forward-looking decision-making basis for the control system and preventing flame extinction or system restart caused by unstable combustion. This mechanism is particularly applicable to industrial scenarios with large fluctuations in methane concentration, low calorific value, or complex ignition environments. By continuously optimizing the ignition control strategy, the overall response speed and ignition robustness of the system are improved, enhancing the industrial feasibility and application scope of the system.

[0068] During the combustion process, the stable combustion adjustment module obtains the gas methane content data and flue gas oxygen content data, and adjusts the intake parameters of the combustion equipment accordingly. The stable control of the combustion process using flameless combustion technology includes:

[0069] Obtain the gas methane content data and flue gas oxygen content data during the combustion process, collect the original data set in real time through sensors, separate the gas methane content data from the original data set, process the outliers using data cleaning technology to obtain the methane data for adjustment, calculate the range of intake parameter changes based on the methane data for adjustment, determine the intake parameter adjustment value using a preset mapping function, update the operating state of the combustion equipment through the intake parameter adjustment value, generate a stable combustion flame using flameless combustion technology, obtain the flue gas oxygen content data of the stable combustion flame, judge the change trend of the oxygen content through the detection device, and analyze the stability of the combustion process using the support vector machine algorithm based on the oxygen content change trend to obtain the stability index value. If the stability index value is lower than the preset threshold, readjust the intake parameters through the gas methane content data to generate an optimized combustion state.

[0070] This embodiment utilizes a combination of a closed-loop feedback control mechanism and intelligent algorithms to achieve adaptive and stable regulation of the combustion process by real-time monitoring of key gas components. During the combustion process, the system collects data on the methane content in the fuel gas and the oxygen content in the flue gas through sensors to form an original data set. To ensure data validity, the system separates and cleans the methane content data from outliers, and after removing the influence of external disturbances or fault factors, it obtains the methane data for adjustment that can be used for regulation. Subsequently, the system calculates the change range and specific adjustment values of the intake parameters according to the methane data for adjustment through a mapping function (such as a linear or non-linear response curve), and immediately updates the control parameters such as the intake flow rate, pressure, or mixing ratio of the combustion equipment. After the regulation is completed, the combustion process enters a flameless combustion mode (such as premixed flameless, recirculation combustion, etc.) to generate a stable flame state. The system continuously collects data on the oxygen content in the flue gas of the combustion products and analyzes its change trend. By using the support vector machine algorithm to model the relationship between the oxygen content change and the flame stability, it outputs the combustion stability index value. If this index value is lower than the set threshold, it indicates that there are fluctuations or potential anomalies in the combustion. The system then re-evaluates the methane content data of the fuel gas and adjusts the intake parameters to optimize the combustion state, thereby achieving continuous, stable, and efficient combustion control.

[0071] This embodiment effectively improves the combustion stability of low-calorific-value fuel gas under flameless conditions by constructing a multi-parameter collaborative regulation system. The introduced data cleaning and intelligent analysis mechanism improves the robustness of the system to abnormal fluctuations, making the control strategy more accurate and adaptable. The flameless combustion technology significantly reduces open flames and hot spot areas, reduces the risk of local overheating and nitrogen oxide generation, and improves the overall combustion uniformity and environmental friendliness. The application of the support vector machine in stability assessment enables the system to quickly identify changes in the combustion state, respond in a timely manner, and optimize the control strategy to ensure the continuous and stable operation of the system. It is particularly suitable for industrial combustion application scenarios of high-volatility low-calorific-value gases such as shale gas and coke oven gas. While improving the energy utilization rate, it enhances the safety and environmental compliance of the system.

[0072] The combustion-aid optimization module determines the combustion-aid air volume of the combustion equipment according to the oxygen content data in the flue gas, and through a precise combustion control device, it makes real-time linkage adjustments to the combustion-aid air volume and intake parameters to maintain the stable state of the main flame, including:

[0073] Obtain the oxygen content data of flue gas through sensors, determine the demand for combustion-supporting air volume of the combustion equipment, process the oxygen content data of flue gas using data analysis methods, judge the adjustment range of the combustion-supporting air volume, adjust the combustion-supporting air volume through a precise control device, obtain optimized intake parameters, adjust the operating state of the combustion equipment according to the intake parameters, and obtain a stable main flame state. If the main flame state deviates from the preset threshold, the combustion-supporting air volume and intake parameters are adjusted in real time through the control device, the change trend of the combustion state is analyzed using machine learning algorithms, a parameter optimization scheme is determined, and the control device instructions are updated through the combustion state feedback data to obtain continuous and stable output.

[0074] In this embodiment, a real-time linkage control mechanism based on oxygen content feedback of flue gas is constructed to realize the coordinated optimization control of combustion-supporting gas and intake parameters during the combustion process. The system first uses sensors to obtain the oxygen content data of flue gas in the combustion products and judges whether there is insufficient or excessive combustion-supporting gas in the combustion area. After being processed by the data analysis module, key features are extracted and the adjustment direction and amplitude of the combustion-supporting air volume are judged to form a preliminary control decision. The precise control device adjusts the combustion-supporting air system (such as a variable-frequency fan, flow valve) according to this decision, and at the same time obtains new intake parameter data (including intake flow rate, pressure, and mixing ratio), and adjusts the operating state of the combustion equipment accordingly to obtain a stable and uniform main flame shape. If the monitoring result of the main flame state shows deviation from the preset threshold range, such as flame center drift, flame shrinkage, or incomplete combustion, the control system will start the linkage adjustment mechanism to dynamically adjust the combustion-supporting air volume and intake parameters. The system analyzes the change trend of the combustion state in historical and real-time data based on machine learning algorithms (such as LSTM or regression tree), predicts the optimal control direction and parameter combination, and forms an optimization scheme. Finally, the output of the control device is updated through continuous combustion state feedback to realize an efficient, stable, and closed-loop combustion control process.

[0075] This embodiment significantly improves the control accuracy and response speed of the combustion system for the main flame state. By adjusting the combustion-supporting air volume in real time through the oxygen content feedback mechanism, it avoids problems such as reduced energy efficiency caused by excessive air or incomplete combustion caused by insufficient combustion support, and realizes the dual optimization of combustion support efficiency and emission control. The coordinated action of the precise control device and machine learning algorithms can dynamically adapt to changes in gas quality and environmental disturbances, maintain flame stability and shape consistency, and reduce system fluctuations and unplanned shutdown events. This control mechanism has high adaptability and anti-disturbance ability to the main flame state, and is especially suitable for application environments where low-calorific-value gas is prone to fluctuations and the combustion window is narrow, providing intelligent and reliable combustion support optimization for system operation.

[0076] The boundary and emission control module obtains the flue gas component data under the combustion state, controls the flame retardant device to constrain the flame boundary, and judges whether the nitrogen oxide concentration is lower than the preset threshold, including:

[0077] Obtain the flue gas component data in the combustion state, collect real-time information through sensors to obtain the original data set of flue gas components, use a flame retardant device to constrain the flame boundary, adopt a control algorithm to adjust the device parameters, determine the changed data of the flue gas components after boundary constraint, conduct component analysis on the changed data, use spectral analysis method to extract the characteristics of nitrogen oxides, obtain the nitrogen oxide concentration value. If the nitrogen oxide concentration value is higher than the preset threshold, calculate the deviation through the information processing link, judge the degree of concentration exceeding the standard, adjust the operating parameters of the flame retardant device according to the deviation data, adopt a feedback mechanism to optimize the boundary constraint, obtain the updated flue gas component data, re-analyze the nitrogen oxide concentration through the updated data, use the same spectral analysis method to determine whether the final concentration is lower than the preset threshold. If the final concentration is still higher than the preset threshold, generate an adjustment log by recording the deviation trend to obtain a reference basis for subsequent optimization.

[0078] In this embodiment, a collaborative regulation mechanism for flame boundary constraint and flue gas emission is constructed to ensure that the nitrogen oxide emission during combustion operates within the scope of environmental protection permission. The system first uses gas analysis sensors to obtain real-time data of flue gas components such as NOx, CO, and O2 in the combustion products to form an original data set. Flame retardant devices (such as high-temperature ceramic grids, heat reflection covers) are used to spatially constrain the flame boundary to prevent the flame from spreading and triggering overheated areas, which may induce the high-temperature generation reaction of NOx. The system dynamically adjusts the parameters of the flame retardant device (such as the opening angle of the grid, cooling intensity) according to the boundary control algorithm, and obtains the changed data of the flue gas before and after the boundary adjustment in real time. The high-resolution spectral analysis method is used to compare the changed flue gas components, and accurately extract the characteristic spectral lines of nitrogen oxides, so as to calculate the NOx concentration value. If the detected concentration exceeds the preset environmental protection threshold, the information processing unit immediately calculates the actual deviation amount, analyzes the degree of exceeding the standard, and adjusts the operating state of the flame retardant device to optimize the flame boundary constraint efficiency. This process forms a feedback closed loop, continuously updating the flue gas data and concentration judgment until the NOx concentration is within the compliance range; if it still fails to meet the standard after repeated adjustments, record the deviation trend data and generate log information for operation and maintenance optimization or system calibration.

[0079] This embodiment combines the refined control of the flame space behavior with the flue gas component analysis technology to achieve the real-time suppression and dynamic regulation of NOx emissions. The boundary constraint mechanism prevents the flame from over-expanding, recirculating, or forming a high-temperature peak area, effectively reducing the generation of thermal NOx; combined with the spectral analysis technology, it improves the sensitivity and accuracy of NOx concentration judgment, and the control strategy is more precise and forward-looking. The feedback mechanism enhances the self-learning ability of the system, can continuously optimize the boundary adjustment behavior, and improve the NOx compliance efficiency. This solution provides a solution with both intelligence and environmental compliance for dealing with variable gas components and complex working conditions, and is especially suitable for industrial gas application occasions that need to meet strict environmental protection requirements.

[0080] When the nitrogen oxide concentration meets the requirements, the flue gas purification module performs post-processing on the combustion products through the flue gas purification device, and outputs the purified target flue gas to the environment through the emission channel, including:

[0081] If the concentration of nitrogen oxides is lower than the preset threshold, the sensor is used to obtain the data on the nitrogen oxide content in the flue gas to determine the concentration value. The preset threshold judgment module is used to compare the concentration value with the threshold to determine whether to enter the purification process. If the judgment result is lower than the threshold, the flue gas purification device is used to process the flue gas to obtain purified intermediate flue gas. The flue gas analyzer is used to detect the flue gas components in the intermediate flue gas to determine whether the purification efficiency meets the standard. If the purification efficiency meets the standard, the intermediate flue gas is output through the emission channel to obtain the target flue gas. According to the flow monitoring data of the emission channel, the output status of the target flue gas is obtained to determine whether the output control is normal. By recording the output status and purification efficiency data, a real-time processing log is generated and stored in the database.

[0082] This implementation method establishes a set of intelligently controlled flue gas purification and emission processes by setting the nitrogen oxide concentration threshold and automatic judgment logic. First, the system continuously monitors the NOx concentration in the flue gas, and collects and calculates the current concentration value in real time through the gas sensor. When the detection value is lower than the set safe emission threshold, the system confirms whether the conditions for entering the purification process are met through the judgment module. After the conditions are met, the controller starts the flue gas purification device, such as selective catalytic reduction (SCR), selective non-catalytic reduction (SNCR) or low-temperature plasma treatment equipment, to deeply remove the residual pollutants in the combustion products and generate intermediate flue gas. Subsequently, the flue gas analyzer is used to detect the components of the intermediate flue gas to confirm whether NOx, CO, SO2, etc. are at an acceptable level to determine whether the purification efficiency meets the standard. If the standard is met, the control system allows the intermediate flue gas to enter the emission channel, and monitors the flow rate, pressure and other data in the channel in real time to verify whether the gas emission is in a normal state. The system records the purification efficiency and emission status as a real-time log and stores it in the database for environmental supervision, historical tracing and system optimization.

[0083] This implementation method constructs a low-emission and high-safety exhaust management solution by implementing a post-purification emission strategy based on the NOx concentration reaching the standard. The intelligent judgment mechanism avoids the waste of purification resources and starts the post-processing program only when the conditions are met, thereby improving energy efficiency and operating economy. The quality of the purification process is ensured through intermediate flue gas detection, and the whole process is monitored to improve environmental emission compliance and system credibility. The flow and status monitoring of the emission channel makes terminal emissions controlled and traceable, further enhancing the stability and safety assurance capabilities of the system. The digital storage log mechanism facilitates the traceability supervision of corporate environmental audits and management departments, and improves the informationization and intelligence level of the system.

[0084] The flue gas purification module further includes: a flue gas analysis and control sub-unit, which is used to detect the flue gas components in the intermediate flue gas by using a flue gas analyzer after the flue gas is treated by the purification device, and judge whether the purification efficiency meets the standard; if the purification efficiency meets the standard, control the discharge channel to output the intermediate flue gas as the target flue gas.

[0085] In this embodiment, by introducing a dedicated flue gas analysis and control sub-unit, the post-treatment control ability of the flue gas purification module is further enhanced. After the intermediate flue gas is treated by the purification device (such as SCR denitration device, filter, scrubber, etc.), it first enters the analysis link. The flue gas analyzer detects the key pollutant components (such as NOx, CO, SO2, particulate matter, etc.) in the intermediate flue gas and transmits the real-time detection data to the control sub-unit. The control sub-unit judges whether the current purification level meets the standard by comparing with the preset purification efficiency standard of the system. If the detection result shows that the purification efficiency meets the requirements (that is, the concentration of each pollutant is lower than the preset emission threshold), the control unit immediately activates the discharge channel control mechanism, opens the discharge channel, and discharges the intermediate flue gas as the target flue gas into the environment. This process ensures that the discharge operation is strictly based on data judgment, improving the environmental protection compliance and the intelligent level of process control.

[0086] This embodiment strengthens the final quality control link before flue gas emission. Through the flue gas analysis and control sub-unit, the quantitative determination of the purification state of the intermediate flue gas is realized, avoiding the excessive emission of pollutants caused by misjudgment or abnormal purification. The control sub-unit is linked with the discharge channel, enabling the system to have the decision-making ability based on data, and improving the reliability and safety of the emission behavior. The modular design is convenient for system expansion and upgrade, and can be adapted to different types of purification equipment and emission standards. This solution is especially suitable for industrial flue gas treatment scenarios with strict environmental protection supervision, high emission frequency or complex composition, improving the operation transparency, automation level and environmental protection compliance ability of the system.

[0087] Low calorific value associated gas refers to the natural gas produced simultaneously during oil extraction. It usually coexists with oil, exists in the upper part of the oil reservoir or is dissolved in the crude oil, so it is called associated gas or dissolved gas. The components of associated gas mainly include methane, carbon dioxide, hydrogen sulfide, water, helium, etc. Due to its low methane content (usually less than 20%) or containing more non-hydrocarbon gases (carbon dioxide, nitrogen, water, etc.), its calorific value is relatively low.

[0088] such as Figure 2As shown in the figure, the raw material is low calorific value associated gas from oil fields or chemical plants. It first enters the original associated gas raw material tank for temporary storage, and the particulate impurities and droplets are filtered out by manual valves and filters, and the pressure is stabilized in the pressure regulating tank. After that, the associated gas enters the blower air supply branch through the solenoid valve and flow control valve, and is mixed with the main gas and transported to the closed combustion chamber. The combustion part adopts a two-stage burner and a multi-point air distribution structure. By controlling the gas proportional valve, the combustion air proportional valve, the air distribution proportional valve and the blower operating parameters, the graded air distribution and quantitative gas control are realized, which effectively reduces the oxygen content and flame temperature in the combustion zone, thereby inhibiting the generation of NOx and achieving a low-nitrogen combustion effect. After the exhaust gas is cooled by the high-temperature filter and the heat exchange device, it enters the tail gas treatment unit, and the NOx, SO2, and hydrocarbon residual gases are purified by the alkali liquid washing tower and the activated carbon adsorption device. The purified tail gas is discharged into the standard emission system by the induced draft fan. The whole system is equipped with a DCS control unit to monitor the temperature, pressure, flow, oxygen content, NOx concentration and other parameters of each key point in real time, and set up alarm interlock and automatic flameout protection mechanisms to ensure the combustion stability and operation safety of the system. This implementation method can adapt to low calorific value associated gas with a calorific value as low as 3MJ / Nm³, and has the advantages of compact structure, high combustion efficiency, low nitrogen oxide emissions, and tail gas emission standards. It is widely used in the resource utilization of waste gas in oil and gas fields, refining and chemical plants, coal chemical industry and other fields.

[0089] It also includes a manual valve 1, a vapor-liquid separation device 2, a safety valve 3, a flame arrester 4, a pressure reducing device 5, a cyclone separation device 6, a flow device 7, a pressure stabilizing device 8 and a gas main line valve group 13 connected in sequence. The gas main line valve group 13 is respectively connected to a gas branch line valve group 12 and a vortex device 11, and the vortex device 11 is connected to a closed combustion chamber 14; the gas branch line valve group 12 is also connected to the closed combustion chamber 14, and is used for multiple branch gas supply; the gas main line valve group 13 is also connected to an electric valve 10, and the electric valve 10 is connected to a fan 9, and the fan 9 is used to provide combustion air and is connected to the vortex device 11 through the combustion air path; the front end of the vapor-liquid separation device 2 is provided with a first manual valve 1, and the rear end is connected to the safety valve 3 and the flame arrester 4 in sequence; after being processed by the above-mentioned components in sequence, the gas enters the vortex device 11 and is fully mixed with the combustion air, and is finally sent to the closed combustion chamber 14 to achieve low-nitrogen combustion.

[0090] Through the multi-stage treatment and control of low-calorific value associated gas, the system realizes the purification and stable supply of the gas source. First, the low-calorific value associated gas sequentially enters the gas-liquid separation device 2 through the first manual valve 1, effectively removing the liquid impurities in the gas and ensuring the safety and stability of subsequent processing equipment. Then, the gas passes through the safety valve 3 for overpressure protection and through the flame arrester 4 to prevent backfire accidents. The pressure reducing device 5 is used to adjust the gas pressure to a range suitable for the combustion condition. The cyclone separation device 6 further removes particulate impurities. The flow device 7 and the pressure stabilizing device 8 ensure the stable flow rate and pressure of the gas supply. The treated gas enters the main gas pipeline valve group 13 and is distributed to multiple combustion branches through the gas branch pipeline valve group 12, or enters the swirl device 11 to be fully mixed with the combustion-supporting air provided by the fan 9. The mixed gas is then sent into the closed combustion chamber 14 for low-nitrogen combustion. By forming a stable rotating flow field through the swirl device 11, the mixing uniformity of air and gas is improved, the combustion temperature is effectively controlled, the generation of nitrogen oxides is inhibited, and the environmental protection standard is ensured.

[0091] In this embodiment, by setting up a complete set of gas source purification and pressure control equipment at the front end of the combustion system, the flammability and combustion stability of low-calorific value associated gas are significantly improved, the damage to combustion equipment caused by liquid impurities or solid particles is effectively avoided, and the safety and service life of the system are improved. The fan is used to provide combustion-supporting air and is introduced into the swirl device through a special channel, so that the gas and air are fully mixed before entering the combustion chamber, effectively improving the combustion efficiency and reducing the combustion temperature, significantly reducing the nitrogen oxide emissions, and achieving the environmental protection goal of low-nitrogen combustion. In addition, the multi-branch design improves the gas supply flexibility and expandability of the system, adapting to different working condition requirements.

[0092] In the above embodiment, the gas-liquid separation device 2 can be replaced by a centrifugal separator or a gas-liquid filter and adjusted according to the different liquid content in the gas source; the specifications and models of the safety valve 3 and the flame arrester 4 can be customized according to the pressure level and safety requirements; the pressure reducing device 5 can be a manual pressure regulating valve or an automatic pressure stabilizing valve to adapt to different control precision requirements; the type of the fan 9 can be an axial flow fan or a centrifugal fan, and a frequency converter can be configured to adjust the air supply volume; the structure of the swirl device 11 can also adjust the eddy current guiding structure according to the combustion chamber size and gas type to achieve a better mixing effect. In addition, the whole system can also be configured with an automatic monitoring and control module to realize the intelligent adjustment of pressure, flow rate and combustion state, enhancing the system adaptability and operation efficiency.

[0093] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A low-calorie associated gas low-nitrogen closed combustion and purification system, characterized in that The system includes: A fuel ratio module, which is used to obtain the methane concentration data and flow data of low-calorific-value associated gas, determine the blending ratio of auxiliary ignition fuel, and adjust the fuel ratio of low-calorific-value associated gas; An air-fuel ratio control module, which is used to obtain the supply amount data of the combustion-supporting substance, calculate and determine the air-fuel ratio, and use this air-fuel ratio to preprocess the low-calorific-value associated gas after ratio adjustment to generate a mixed gas to be ignited; A closed environment management module, which is used to obtain the data of the closed combustion environment, remove the combustibles in the closed space by controlling the purging device, and determine the temperature threshold required for ignition according to the environmental data; An ignition control module, which is used to control the high-energy ignition device to ignite the preprocessed mixed gas, and detect the initial flame temperature through a flame monitoring device to judge whether the set ignition temperature threshold is reached; A stable combustion regulation module, which is used to obtain the gas methane content data and flue gas oxygen content data during the combustion process, and accordingly adjust the intake parameters of the combustion equipment, and use flameless combustion technology to stably control the combustion process; A combustion-supporting optimization module, which is used to determine the combustion-supporting air volume of the combustion equipment according to the flue gas oxygen content data, and through a precise combustion control device, perform real-time linkage adjustment on the combustion-supporting air volume and intake parameters to maintain the stable state of the main flame; A boundary and emission control module, which is used to obtain the flue gas component data in the combustion state, control the flame retardant device to restrict the flame boundary, and judge whether the nitrogen oxide concentration is lower than the preset threshold; A flue gas purification module, which is used to post-process the combustion products through a flue gas purification device when the nitrogen oxide concentration meets the requirements, and output the purified target flue gas to the environment through an emission channel; 2. The low-heat-value associated gas low-nitrogen closed combustion and purification system according to claim 1, wherein: The fuel ratio module obtains the methane concentration data and flow data of low-calorific-value associated gas, determines the blending ratio of auxiliary ignition fuel, and the fuel ratio adjustment of low-calorific-value associated gas includes: Obtain the methane concentration data and flow data of low-calorific-value associated gas, record the real-time values through the sensor acquisition system to obtain the concentration and flow basic data set, analyze and process the methane concentration data through concentration analysis, use the support vector machine algorithm to classify the concentration change trend, judge the concentration interval distribution, calculate the ignition ratio according to the concentration interval distribution, if the methane concentration is lower than the preset threshold, increase the auxiliary fuel ratio to obtain the ignition ratio parameter, combine the flow data with the ignition ratio parameter, predict the fuel blending demand through the linear regression algorithm, determine the blending ratio value, adjust the fuel ratio according to the blending ratio value, automatically update the ratio adjustment parameter to obtain an optimized fuel ratio plan, perform fuel blending on the low-calorific gas through the optimized fuel ratio plan, use a real-time monitoring tool to verify the execution effect of the blending ratio, judge the completion degree of the ratio adjustment, obtain the verified ratio adjustment completion degree data, and determine the final fuel ratio result through data comparison and analysis of the stability of the low-calorific gas of the associated gas source.

3. A low-calorific-value associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that: The air-fuel ratio control module obtains the supply amount data of the combustion-supporting substance, calculates and determines the air-fuel ratio, and uses this air-fuel ratio to preprocess the low-calorific-value associated gas after ratio adjustment to generate a mixed gas to be ignited includes: Obtain the data of the combustion-supporting substance supply amount and the flow rate data, collect real-time values through sensors, and obtain the initial data set. Calculate the air-fuel ratio through the initial data set, using the formula A = F / C, where A represents the air-fuel ratio, F represents the flow rate data, and C represents the combustion-supporting substance supply amount, to obtain the air-fuel ratio value. Judge the mixing state according to the air-fuel ratio value. If the air-fuel ratio exceeds the preset range, change the input amount of associated gas by adjusting the valve to obtain the adjusted mixing data. Use the adjusted mixing data to preprocess the low-calorific value associated gas, generate a uniformly mixed gas through a mixing device to obtain the preprocessed mixture. Detect the uniformity of the preprocessed mixture. If the uniformity is lower than the preset threshold, use a stirring device to optimize the mixing to obtain an optimized mixed gas. Obtain the composition parameters of the optimized mixed gas, confirm that it meets the ignition conditions through an analysis device to obtain the mixed gas to be ignited, and conduct a final verification on the mixed gas to be ignited. Judge its stability through a simulated ignition test to obtain the final confirmation result.

4. A low-calorific-value associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that: The closed environment management module obtains the data of the closed combustion environment, clears the combustibles in the closed space by controlling the purging device, and determines the temperature threshold required for ignition according to the environmental data, including: Collect the combustion environment data in the closed environment through sensors to obtain real-time data. Use data analysis technology to process the real-time data to determine the content of combustibles in the combustion environment. If the content of combustibles exceeds the preset threshold, activate the purging device to remove the combustibles, obtain the environmental monitoring data after the removal process, judge whether the combustibles are lower than the safety threshold, calculate the optimal conditions before ignition through the environmental monitoring data to obtain the ignition temperature range. According to the ignition temperature range and the real-time data, use a machine learning algorithm to optimize the temperature threshold to determine the final threshold, and adjust the combustion environment parameters according to the threshold determination result to complete the preparation before ignition.

5. A low-heat-value associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that: The ignition control module controls the high-energy ignition device to ignite the preprocessed mixed gas, and detects the initial flame temperature through the flame monitoring device to judge whether it reaches the set ignition temperature threshold, including: Perform an ignition operation on the low-calorific value associated gas after the ratio adjustment through the high-energy ignition device to generate an initial flame. Use the flame monitoring device to perform real-time temperature detection on the initial flame to obtain temperature data. If the temperature data reaches the preset ignition temperature threshold, record the flame generation state through the data processing unit. According to the flame generation state, use the support vector machine algorithm to classify and judge the stability of the temperature data to determine whether the flame continues. Obtain the flame duration and the temperature change trend through the monitoring device to judge whether it meets the stable combustion conditions. If the temperature change trend exceeds the preset range, predict the flame decay time through the regression analysis algorithm to obtain the adjustment requirement, and update the ratio adjustment parameters according to the adjustment requirement to generate an optimized ignition control plan.

6. A low-heat-value associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that: The stable combustion regulation module obtains the gas methane content data and the flue gas oxygen content data during the combustion process, and adjusts the intake parameters of the combustion equipment accordingly. Use flameless combustion technology to stably control the combustion process, including: Obtain the gas methane content data and flue gas oxygen content data during the combustion process, collect the original data set in real time through sensors, separate the gas methane content data from the original data set, use data cleaning technology to process outliers to obtain the methane data for adjustment, calculate the change range of the intake parameters according to the methane data for adjustment, determine the adjustment value of the intake parameters using a preset mapping function, update the operating state of the combustion equipment through the adjustment value of the intake parameters, use flameless combustion technology to generate a stable combustion flame, obtain the flue gas oxygen content data of the stable combustion flame, judge the change trend of the oxygen content through a detection device, and analyze the stability of the combustion process using a support vector machine algorithm according to the change trend of the oxygen content to obtain the stability index value. If the stability index value is lower than the preset threshold, readjust the intake parameters through the gas methane content data to generate an optimized combustion state.

7. A low-heat-value associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that: The combustion-aid optimization module determines the combustion-aid air volume of the combustion equipment according to the flue gas oxygen content data, and maintains the stable state of the main flame through real-time linkage adjustment of the combustion-aid air volume and the intake parameters by a precise combustion control device, including: Obtain the flue gas oxygen content data through a sensor, determine the demand for the combustion-aid air volume of the combustion equipment, process the flue gas oxygen content data using a data analysis method, judge the adjustment range of the combustion-aid air volume, adjust the combustion-aid air volume through a precise control device, obtain the optimized intake parameters, adjust the operating state of the combustion equipment according to the intake parameters to obtain a stable main flame state. If the main flame state deviates from the preset threshold, adjust the combustion-aid air volume and the intake parameters in real time through a control device, analyze the change trend of the combustion state using a machine learning algorithm, determine the parameter optimization plan, and update the control device command through the combustion state feedback data to obtain a continuous and stable output.

8. A low-heat-value associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that: The boundary and emission control module obtains the flue gas composition data under the combustion state, controls the flame retardant device to constrain the flame boundary, and judges whether the nitrogen oxide concentration is lower than the preset threshold, including: Obtain the flue gas composition data during the combustion state, collect real-time information through sensors to obtain the original data set of the flue gas composition, constrain the flame boundary through a flame retardant device, adjust the device parameters using a control algorithm to determine the changed data of the flue gas composition after boundary constraint, conduct a composition analysis on the changed data, extract the nitrogen oxide characteristics using a spectral analysis method to obtain the nitrogen oxide concentration value. If the nitrogen oxide concentration value is higher than the preset threshold, calculate the deviation through the information processing link, judge the degree of concentration exceeding the standard, adjust the operating parameters of the flame retardant device according to the deviation data, optimize the boundary constraint using a feedback mechanism to obtain the updated flue gas composition data, re-analyze the nitrogen oxide concentration through the updated data using the same spectral analysis method to determine whether the final concentration is lower than the preset threshold. If the final concentration is still higher than the preset threshold, generate an adjustment log by recording the deviation trend to obtain a reference basis for subsequent optimization.

9. The low-calorific-value associated gas low-nitrogen closed combustion and purification system according to claim 1, wherein: When the nitrogen oxide concentration meets the requirements, the flue gas purification module performs post-treatment on the combustion products through a flue gas purification device, and outputs the purified target flue gas to the environment through an emission channel, including: If the concentration of nitrogen oxides is lower than the preset threshold, the content data of nitrogen oxides in the flue gas is obtained through a sensor to determine the concentration value. The concentration value is compared with the threshold through a preset threshold judgment module to determine whether to enter the purification process. If the judgment result is lower than the threshold, the flue gas is treated by a flue gas purification device to obtain the purified intermediate flue gas. The flue gas components in the intermediate flue gas are detected by a flue gas analyzer to determine whether the purification efficiency meets the standard. If the purification efficiency meets the standard, the intermediate flue gas is output through the discharge channel to obtain the target flue gas. According to the flow monitoring data of the discharge channel, the output state of the target flue gas is obtained to judge whether the output control is normal. By recording the output state and purification efficiency data, a real-time processing log is generated and stored in the database.

10. The low-calorie associated gas low-nitrogen closed combustion and purification system according to claim 1, characterized in that, It also includes a manually operated valve (1), a vapor-liquid separator (2), a safety valve (3), a flame arrester (4), a pressure reducing device (5), a cyclone separator (6), a flow device (7), a pressure stabilizing device (8) and a gas main pipeline valve group (13) connected in sequence. The gas main pipeline valve group (13) is respectively connected with a gas branch pipeline valve group (12) and a swirl device (11), and the swirl device (11) is connected to a closed combustion chamber (14); The gas branch pipeline valve group (12) is also connected to the closed combustion chamber (14) for supplying gas to multiple branches; The gas main pipeline valve group (13) is also connected to an electric valve (10), and the electric valve (10) is connected to a blower (9). The blower (9) is used to provide combustion-supporting air and is communicated with the swirl device (11) through a combustion-supporting air path; A first manually operated valve (1) is provided at the front end of the vapor-liquid separator (2), and the rear end is sequentially connected to a safety valve (3) and a flame arrester (4); After the gas is sequentially processed by the above components, it enters the swirl device (11) to be fully mixed with the combustion-supporting air and is finally sent to the closed combustion chamber (14) to achieve low-nitrogen combustion.

Images