A low calorific value associated gas low nitrogen closed combustion and purification system

Abstract

The present invention discloses a low-nitrogen closed combustion and purification system for low-calorific value associated gas, which relates to the field of energy and environmental protection technology. The system includes a fuel proportioning module, which is used to obtain methane concentration data and flow data of the low-calorific value associated gas, determine the mixing ratio of the auxiliary ignition fuel, and adjust the fuel proportion of the low-calorific value associated gas; an air-fuel ratio control module, which is used to obtain combustion-supporting material supply data, calculate and determine the air-fuel ratio, and use the air-fuel ratio to pre-treat the low-calorific value associated gas after the proportion adjustment to generate a mixed gas to be ignited; the low-calorific value associated gas low-nitrogen closed combustion and purification system establishes a multi-parameter collaborative control mechanism, coordinates parameters of each link through a precise feedback system, and realizes efficient, stable and environmentally friendly associated gas combustion treatment.

Description

Technical Field

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

[0002] The processing of low-calorific-value associated gas presents multiple technical challenges in combustion system stability and pollutant control. Existing technologies typically achieve effective combustion and utilization of associated gas through auxiliary ignition fuel blending, air-fuel ratio adjustment, and pretreatment process control. However, in practice, due to the large fluctuations in methane concentration in associated gas, the auxiliary fuel blending ratio is difficult to accurately control in real time, resulting in reduced combustion stability and, in severe cases, even flameout or incomplete combustion.

[0003] Furthermore, air-fuel ratio adjustment typically relies on real-time monitoring data of gas flow and the supply of combustion aids (such as air or oxygen). However, existing systems lack accuracy and responsiveness, which can easily lead to adjustment lags, resulting in reduced combustion efficiency or excessive emissions. During the ignition phase, to ensure safe and complete combustion, the combustion chamber must be purged, and an appropriate ignition temperature threshold must be set. However, these two requirements often conflict: excessive purging prolongs startup time and increases energy consumption, while setting the threshold too low can lead to ignition failure or an unstable flame. Furthermore, air-fuel ratio adjustment typically relies on real-time monitoring data of gas flow and the supply of combustion aids (such as air or oxygen). However, existing systems lack accuracy and responsiveness, which can easily lead to adjustment lags, resulting in reduced combustion efficiency or excessive emissions. During the ignition phase, to ensure safe and complete combustion, the combustion chamber must be purged, and an appropriate ignition temperature threshold must be set. However, there is often a contradiction between the two: excessive purging will prolong startup time and increase energy consumption; while setting the threshold too low may cause ignition failure or form 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, coordinate the parameters of each link through a precise feedback system, and achieve efficient, stable and environmentally friendly associated gas combustion treatment.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a low-calorific value associated gas low-nitrogen closed combustion and purification system, the system comprising:

[0006] The fuel proportioning module is used to obtain the methane concentration and flow data of the low calorific value associated gas, determine the blending ratio of the auxiliary ignition fuel, and adjust the fuel proportion of the low calorific value associated gas;

[0007] The air-fuel ratio control module is used to obtain the data on the amount of combustion-supporting materials supplied, calculate and determine the air-fuel ratio, and use the air-fuel ratio to pre-treat the low calorific value associated gas after the ratio adjustment to generate the mixed gas to be ignited;

[0008] The closed environment management module is used to obtain data on the closed combustion environment, remove combustible materials in the closed space by controlling the purge device, and determine the temperature threshold required for ignition based on the environmental data;

[0009] The ignition control module is used to control the high-energy ignition device to ignite the pre-treated mixed gas, and detect the initial flame temperature through the flame monitoring device to determine whether the set ignition temperature threshold is reached;

[0010] The combustion stabilization adjustment module is used to obtain the methane content data of the gas and the oxygen content data of the flue gas during the combustion process, and adjust the intake parameters of the combustion equipment accordingly, using the flameless combustion technology to stably control the combustion process;

[0011] The combustion-supporting optimization module is used to determine the combustion-supporting air volume of the combustion equipment based on the flue gas oxygen content data, and to adjust the combustion-supporting air volume and intake parameters in real time through the precise combustion control device to maintain the stability of the main flame;

[0012] The boundary and emission control module is used to obtain smoke composition data under combustion conditions, control the flame retardant device to constrain the flame boundary, and determine whether the nitrogen oxide concentration is below a preset threshold;

[0013] The flue gas purification module is used to post-process the combustion products through the flue gas purification device when the nitrogen oxide concentration meets the requirements, and output the purified target flue gas into the environment through the emission channel.

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

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

[0016] Preferably, the air-fuel ratio control module obtains combustion-supporting material supply data, calculates and determines the air-fuel ratio, and uses the air-fuel ratio to pre-treat the low calorific value associated gas after the ratio adjustment to generate the mixed gas to be ignited, including:

[0017] Obtain combustion-supporting material supply data and flow data, collect real-time values ​​through sensors, and obtain an initial data set. Calculate the air-fuel ratio from 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 combustion-supporting material supply. Obtain the air-fuel ratio value, and determine the proportioning state based on the air-fuel ratio value. If the air-fuel ratio exceeds the preset range, adjust the valve to change the associated gas input to obtain adjusted proportioning data. Use the adjusted proportioning data to pre-treat the low-calorific value associated gas, generate a uniform mixed gas through a mixing device, and obtain a pre-treated mixture. The uniformity of the pre-treated mixture is tested. If the uniformity is lower than the preset threshold, optimize the mixing using a stirring device to obtain an optimized mixed gas. Obtain the component parameters of the optimized mixed gas, confirm that it meets the ignition conditions through analytical equipment, and obtain the mixed gas to be ignited. Perform a final verification on the mixed gas to be ignited, and determine its stability through a simulated ignition test to obtain the final confirmation result.

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

[0019] The combustion environment data in the closed environment is collected through sensors to obtain real-time data. The real-time data is processed using data analysis technology to determine the combustible content in the combustion environment. If the combustible content exceeds the preset threshold, the purge device is activated to remove the combustible material. The environmental monitoring data after the removal process is obtained to determine whether the combustible material is below the safety threshold. The optimal conditions before ignition are calculated based on the environmental monitoring data to obtain the ignition temperature range. Based on the ignition temperature range and real-time data, a machine learning algorithm is used to optimize the temperature threshold and determine the final threshold. The combustion environment parameters are adjusted based on the threshold determination results to complete the pre-ignition preparation.

[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 to determine whether the set ignition temperature threshold is reached, including:

[0021] The low calorific value associated gas after the proportion adjustment is ignited by a high-energy ignition device 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 flame generation state is recorded by the data processing unit. According to the flame generation state, the stability of the temperature data is classified and judged using the support vector machine algorithm to determine whether the flame is continuous. The flame duration and temperature change trend are obtained through the monitoring device to determine whether the stable combustion conditions are met. If the temperature change trend exceeds the preset range, the flame decay time is predicted by the regression analysis algorithm to obtain the adjustment requirements. The proportion adjustment parameters are updated according to the adjustment requirements to generate an optimized ignition control scheme.

[0022] Preferably, the combustion stabilization adjustment module obtains the methane content data of the fuel gas and the oxygen content data of the flue gas during the combustion process, and adjusts the intake parameters of the combustion equipment accordingly, and adopts the flameless combustion technology to stably control the combustion process, including:

[0023] The methane content data of the fuel gas and the oxygen content data of the flue gas during the combustion process are obtained, and the original data set is obtained through real-time acquisition by the sensor. The fuel gas methane content data is separated from the original data set, and the abnormal values ​​are processed by data cleaning technology to obtain the methane data for adjustment. The range of change of the intake parameters is calculated based on the methane data for adjustment, and the intake parameter adjustment value is determined by a preset mapping function. The operating status of the combustion equipment is updated according to the intake parameter adjustment value, and a flameless combustion technology is used to generate a stable combustion flame. The oxygen content data of the flue gas of the stable combustion flame is obtained, and the trend of the oxygen content change is judged by the detection device. According to the trend of the oxygen content change, the support vector machine algorithm is used to analyze the stability of the combustion process to obtain a stability index value. If the stability index value is lower than the preset threshold value, the intake parameters are readjusted according to the fuel gas methane content data to generate an optimized combustion state.

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

[0025] The flue gas oxygen content data is obtained through sensors to determine the combustion-supporting air volume requirements of the combustion equipment. The flue gas oxygen content data is processed using data analysis methods to determine the adjustment range of the combustion-supporting air volume. The combustion-supporting air volume is adjusted through a precise control device to obtain optimized intake parameters. The operating state of the combustion equipment is adjusted according to the intake parameters to 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. A machine learning algorithm is used to analyze the combustion state change trend, determine the parameter optimization plan, and update the control device instructions through the combustion state feedback data to obtain a continuous and stable output.

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

[0027] Obtain flue gas composition data in the combustion state, collect real-time information through sensors, obtain the original data set of flue gas composition, constrain the flame boundary through the flame retardant device, use the control algorithm to adjust the device parameters, determine the flue gas composition change data after boundary constraint, perform component analysis on the change data, use spectral analysis to extract nitrogen oxide characteristics, and obtain nitrogen oxide concentration values. If the nitrogen oxide concentration value is higher than the preset threshold, calculate the deviation through the information processing link to determine the degree of concentration exceeding the standard, adjust the operating parameters of the flame retardant device according to the deviation data, use the feedback mechanism to optimize the boundary constraint, obtain updated flue gas composition data, re-analyze the nitrogen oxide concentration based on 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.

[0028] Preferably, when the nitrogen oxide concentration meets the requirement, 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 exhaust channel, including:

[0029] If the nitrogen oxide concentration is lower than the preset threshold, the nitrogen oxide content data in the flue gas is obtained through the sensor to determine the concentration value. The concentration value is compared with the threshold through the 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 the flue gas purification device to obtain the 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.

[0030] Preferably, it further comprises 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 pressure stabilizing device and a gas main line valve group connected in sequence, wherein the gas main line valve group is respectively connected to a gas branch line valve group and a swirl device, and the swirl device is connected to the closed combustion chamber;

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

[0032] The main gas line valve group is further connected to an electric valve, which is connected to a blower. The blower is used to provide combustion-supporting air and is connected to the vortex device through a combustion-supporting air path.

[0033] The front end of the vapor-liquid separation device is provided with a first manual valve, and the rear end is connected in sequence to a safety valve and a flame arrester;

[0034] After being processed by the above components in sequence, the fuel gas enters the vortex 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 solution that the present invention has the following beneficial effects:

[0036] This low-calorific-value associated gas, low-nitrogen, closed combustion and purification system uses a fuel proportioning module to obtain real-time methane concentration and flow data and accurately determine the blending ratio of the auxiliary ignition fuel, significantly enhancing the calorific value stability of the fuel mixture and reducing the risk of flameout or incomplete combustion caused by concentration fluctuations. An air-fuel ratio control module is configured to dynamically adjust the premix ratio based on real-time combustion-supporting material supply data and gas status, overcoming the response lag problem of existing systems, improving combustion efficiency, and reducing the probability of abnormal emissions. The closed environment management module combines purge control with ignition temperature threshold setting to achieve pre-ignition risk elimination and automatic judgment of ignition conditions, avoiding increased energy consumption caused by excessive purge while ensuring the ignition success rate and flame formation stability. The stable combustion adjustment module collects real-time methane content and flue gas oxygen content data and, in conjunction with flameless combustion technology, effectively suppresses flame boundary instability and combustion jumps, significantly improving the system's adaptability to low-calorific-value gases. The boundary and emission control module combines flame boundary constraints with flue gas composition detection to effectively control the temperature field and oxygen content in the combustion area, suppressing NO at the source. x Generation, combined with precise combustion-supporting adjustment to further lower emission levels, the flue gas purification module not only starts the post-processing process when the nitrogen oxide concentration reaches the standard, but also can judge the purification efficiency based on the flue gas analyzer, combined with the flow status of the emission channel, to form a complete output monitoring and log recording mechanism, providing data support for environmental supervision and system optimization, and constructing a logical closed loop between each module to realize the full process automatic control of "detection-judgment-adjustment-feedback-recording", which enhances the system's adaptability, robustness and intelligent operation level, and meets the needs of clean utilization of low calorific value gases under complex working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

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

[0042] The fuel proportioning module is used to obtain the methane concentration and flow data of the low calorific value associated gas, determine the blending ratio of the auxiliary ignition fuel, and adjust the fuel proportion of the low calorific value associated gas;

[0043] The air-fuel ratio control module is used to obtain the data on the amount of combustion-supporting materials supplied, calculate and determine the air-fuel ratio, and use the air-fuel ratio to pre-treat the low calorific value associated gas after the ratio adjustment to generate the mixed gas to be ignited;

[0044] The closed environment management module is used to obtain data on the closed combustion environment, remove combustible materials in the closed space by controlling the purge device, and determine the temperature threshold required for ignition based on the environmental data;

[0045] The ignition control module is used to control the high-energy ignition device to ignite the pre-treated mixed gas, and detect the initial flame temperature through the flame monitoring device to determine whether the set ignition temperature threshold is reached;

[0046] The combustion stabilization adjustment module is used to obtain the methane content data of the gas and the oxygen content data of the flue gas during the combustion process, and adjust the intake parameters of the combustion equipment accordingly, using the flameless combustion technology to stably control the combustion process;

[0047] The combustion-supporting optimization module is used to determine the combustion-supporting air volume of the combustion equipment based on the flue gas oxygen content data, and to adjust the combustion-supporting air volume and intake parameters in real time through the precise combustion control device to maintain the stability of the main flame;

[0048] The boundary and emission control module is used to obtain smoke composition data under combustion conditions, control the flame retardant device to constrain the flame boundary, and determine whether the nitrogen oxide concentration is below a preset threshold;

[0049] The flue gas purification module is used to post-process the combustion products through the flue gas purification device when the nitrogen oxide concentration meets the requirements, and output the purified target flue gas into the environment through the emission channel.

[0050] This system utilizes multi-dimensional, precise control and intelligent response to the characteristics of low-calorific-value associated gas. It implements closed-loop regulation throughout the entire process, from fuel acquisition and proportioning, mixture preparation, to ignition control, combustion stabilization, boundary constraints, and flue gas purification. The fuel proportioning module monitors methane concentration and gas flow rate, allowing the appropriate addition of auxiliary fuels such as propane and butane to enhance overall calorific value. The air-fuel ratio control module utilizes flow meters and sensors to obtain oxygen or air supply data and optimizes the air-fuel ratio based on an algorithm to improve combustion efficiency and suppress nitrogen oxide formation. The closed environment management module monitors residual combustibles within the closed combustion chamber, ensuring a safe ignition environment by controlling the purge device to purge inert gas or replace the gas pressure, and setting the ignition threshold. The ignition control module uses a high-energy ignition device to ignite the mixture, while the flame monitoring device transmits real-time initial ignition temperature data to determine successful ignition. Based on flameless combustion technology (such as premixed diffusion combustion), the stable combustion adjustment module dynamically adjusts the intake volume and gas concentration according to the methane concentration of the gas and the oxygen content of the flue gas to maintain combustion uniformity and stability. The combustion-supporting optimization module coordinates the combustion-supporting air volume and intake conditions, maintains the stability of the main flame structure through feedback adjustment, and prevents backfire or flameout. The boundary and emission control module uses flame detection and component analyzers to monitor the flame expansion area and flue gas composition, controls the flame retardant device to limit the flame boundary, ensures combustion safety, and promptly determines whether nitrogen oxides are below the threshold. On the premise of meeting emission standards, the flue gas purification module treats the flue gas through purification means such as denitrification devices and filtration systems, and discharges it into the environment through a dedicated emission channel.

[0051] The system achieves efficient, safe and environmentally friendly closed combustion treatment of low calorific value associated gas. Compared with traditional open flame combustion systems, it has obvious advantages in fuel adaptability, safety control accuracy, low nitrogen emission efficiency and system integration intelligence. Through modular configuration, precise control of fuel quality and optimization of air-fuel ratio are achieved, which greatly improves combustion efficiency and reduces pollutant generation. The closed environment and ignition monitoring system ensure the stability and safety of the operation process. The synergistic effect of the combustion stabilization and combustion support modules keeps the combustion process under control at all times, reducing incomplete combustion and safety risks. The flue gas purification module ensures that 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 suitable for various natural gas development scenarios such as oil fields, coalbed methane, and shale gas.

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

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

[0054] In this embodiment, the fuel blending module implements dynamic fuel blending control for low-calorific value associated gas by constructing a data processing process based on sensor data as input and intelligent algorithms at its core. Methane concentration and gas flow rate are core parameters recorded in real time by the sensor acquisition system, forming a basic concentration and flow rate dataset. Concentration analysis identifies the current source gas methane concentration range, and a support vector machine algorithm is used to develop a concentration trend model, enabling intelligent classification and prediction of these concentration ranges. When the methane concentration falls below a set threshold, the system automatically generates a pilot ratio parameter and increases the auxiliary fuel ratio. Subsequently, a linear regression algorithm is used to jointly analyze the pilot ratio and flow rate data to predict the actual total fuel blend required and accurately generate a blending ratio value. This value is used to automatically adjust the fuel blending ratio, synchronously updating internal system parameters and generating an optimized fuel blending solution. The entire blending process is monitored in real time by an online monitoring tool, which quantitatively evaluates the blending performance to determine whether the adjustments achieve the preset targets. After the blending adjustment is completed, historical and current blending data are compared to assess the source gas calorific value fluctuations, thereby determining the stability and effectiveness of the final blending solution.

[0055] This embodiment introduces support vector machines and linear regression algorithms to enable the fuel blending adjustment process to shift from rule-driven to data-driven, thereby improving the adaptability and response speed of the fuel proportioning strategy. Compared with traditional manual estimation or empirical formulas, this method can accurately respond to fluctuations in the composition of low calorific value gases, effectively guarantee the success rate of ignition and combustion efficiency, and avoid incomplete combustion or ignition failure due to insufficient methane content. At the same time, the optimized proportioning strategy ensures the stability and continuity of system operation through real-time monitoring and feedback mechanisms, thereby improving the intelligence and automation level of the combustion system. Furthermore, through the historical trend analysis of the stability of low calorific value gases, data support is provided for upstream gas source management, realizing the optimization of production and supply linkage.

[0056] The air-fuel ratio control module obtains the combustion-supporting material supply data, calculates and determines the air-fuel ratio, and uses the air-fuel ratio to pre-treat the low calorific value associated gas after the ratio adjustment to generate the mixed gas to be ignited, including:

[0057] Obtain combustion-supporting material supply data and flow data, collect real-time values ​​through sensors, and obtain an initial data set. Calculate the air-fuel ratio from 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 combustion-supporting material supply. Obtain the air-fuel ratio value, and determine the proportioning state based on the air-fuel ratio value. If the air-fuel ratio exceeds the preset range, adjust the valve to change the associated gas input to obtain adjusted proportioning data. Use the adjusted proportioning data to pre-treat the low-calorific value associated gas, generate a uniform mixed gas through a mixing device, and obtain a pre-treated mixture. The uniformity of the pre-treated mixture is tested. If the uniformity is lower than the preset threshold, optimize the mixing using a stirring device to obtain an optimized mixed gas. Obtain the component parameters of the optimized mixed gas, confirm that it meets the ignition conditions through analytical equipment, and obtain the mixed gas to be ignited. Perform a final verification on the mixed gas to be ignited, and determine its stability through a simulated ignition test to obtain the final confirmation result.

[0058] In this embodiment, the air-fuel ratio control module implements a closed-loop air-fuel ratio calculation and pretreatment system. The system first uses sensors to collect real-time data on the supply of the combustion aid (such as air or oxygen) and the gas flow rate to form an initial data set. The current air-fuel ratio A is calculated using the formula A = F / C to assess the rationality of the mixture. If the air-fuel ratio exceeds a set threshold, the system immediately issues an adjustment command, controls the intake flow of the associated gas by adjusting the valve, recalculates the ratio data, and performs pretreatment of the gas and combustion aid. During the pretreatment stage, a mixing device (such as a static mixer) performs preliminary gas mixing to produce a pretreated mixture. Sensors then monitor the uniformity of the mixture. If the mixing level does not meet the required level, a stirring device (such as a vortex mixer or high-speed pneumatic stirring device) is activated for secondary mixing to optimize gas uniformity. The optimized mixed gas is then tested for component distribution using a composition analysis device (such as an infrared gas analyzer) to ensure that it meets the ignition and combustibility requirements, ultimately forming the mixture ready for ignition. To ensure system stability, the combustion reaction of the mixed gas is further tested in a simulated ignition environment to evaluate its initial ignition response and stable combustion capability, forming the final ignition confirmation feedback.

[0059] This implementation method significantly improves the ignition adaptability and combustion consistency of the low calorific value associated gas mixture by accurately calculating the air-fuel ratio and establishing a real-time control and mixing optimization process. The dynamic control 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 combustion efficiency and system stability. The flammability and stability of the mixture are further verified through simulated ignition tests, making the final ignition more reliable, effectively preventing ignition failure or delay, and providing strong protection for the subsequent operation of the combustion system. In addition, this solution improves the automation and intelligence level of the system, is applicable to various types of low calorific value gas pretreatment scenarios, and enhances the system's versatility and industrial adaptability.

[0060] The closed environment management module obtains data about the closed combustion environment, removes combustibles in the closed space by controlling the purge device, and determines the temperature threshold required for ignition based on the environmental data, including:

[0061] The combustion environment data in the closed environment is collected through sensors to obtain real-time data. The real-time data is processed using data analysis technology to determine the combustible content in the combustion environment. If the combustible content exceeds the preset threshold, the purge device is activated to remove the combustible material. The environmental monitoring data after the removal process is obtained to determine whether the combustible material is below the safety threshold. The optimal conditions before ignition are calculated based on the environmental monitoring data to obtain the ignition temperature range. Based on the ignition temperature range and real-time data, a machine learning algorithm is used to optimize the temperature threshold and determine the final threshold. The combustion environment parameters are adjusted based on the threshold determination results to complete the pre-ignition preparation.

[0062] In this embodiment, the closed environment management module achieves precise control of the environment before ignition by dynamically monitoring the entire process of the combustion environment in the closed space and making intelligent decisions. First, the system collects key environmental parameters such as oxygen concentration, combustible gas concentration, temperature and pressure through a sensor array arranged in the closed combustion chamber to form a real-time data stream. The data analysis system extracts features and performs pattern recognition on these real-time data to determine the overall content of combustible materials in the current environment. If the combustible material content exceeds the set safety threshold, the system automatically triggers the purge device to thoroughly clean the closed space by injecting inert gas (such as nitrogen or carbon dioxide) or forced exhaust. During the purge process, the system continuously monitors environmental changes and obtains a new round of environmental monitoring data after the purge. This data is used to confirm whether the combustible material has dropped to a safe range and calculate the initial conditions most suitable for ignition, including a combination of pressure, temperature and gas concentration. Based on this initial condition and the system's historical data, a machine learning algorithm (such as a random forest or gradient boosting tree) is used to predict the optimal ignition temperature range and dynamically optimize the temperature threshold. Ultimately, the determined temperature threshold is used to guide ignition preparation, such as adjusting the preheating device or controller to ensure that the ignition operation is performed within the safest and most effective window.

[0063] This implementation method significantly improves the safety and success rate of low calorific value gas before ignition by building a complete closed environment assessment and management chain. Real-time sensor acquisition combined with data analysis improves the sensitivity to changes in the combustion environment state, and the automatic purge mechanism effectively prevents the risk of explosion or uncontrolled combustion caused by improper gas mixture concentration before ignition. The introduction of machine learning algorithms improves the prediction accuracy of temperature thresholds, breaks through the limitations of traditional static experience settings, and realizes personalized and intelligent adjustment of ignition conditions. The highly automated and closed-loop control characteristics of the entire process reduce dependence on human intervention and improve system operation efficiency and safety level. This solution is particularly suitable for gas application scenarios in high-risk closed 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. The following procedures are included:

[0065] The low calorific value associated gas after the proportion adjustment is ignited by a high-energy ignition device 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 flame generation state is recorded by the data processing unit. According to the flame generation state, the stability of the temperature data is classified and judged using the support vector machine algorithm to determine whether the flame is continuous. The flame duration and temperature change trend are obtained through the monitoring device to determine whether the stable combustion conditions are met. If the temperature change trend exceeds the preset range, the flame decay time is predicted by the regression analysis algorithm to obtain the adjustment requirements. The proportion adjustment parameters are updated according to the adjustment requirements to generate an optimized ignition control scheme.

[0066] This embodiment uses a high-energy ignition device and flame monitoring technology to work together to build an intelligent feedback mechanism for ignition control. First, after the ratio adjustment and pretreatment are completed, the high-energy ignition device (such as a plasma igniter or spark generator) ignites the mixed gas to form an initial flame. Immediately after ignition, the flame monitoring device (such as an infrared thermal imager or 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 status is recorded and the next stage of evaluation is entered. The system uses a support vector machine algorithm to classify the real-time temperature data sequence to determine whether the flame temperature is stable and then determine whether the flame is sustainable. If the flame is sustainable, the flame duration and temperature change trend data are obtained to determine whether it meets the stable combustion conditions. If the temperature change curve shows a sharp fluctuation or a downward trend, it indicates that the flame may be at risk of decay. At this time, a regression analysis algorithm is introduced to predict the flame decay time. Combined with the prediction results, the system generates adjustment requirements and updates the fuel ratio or intake parameters, ultimately forming a new ignition control strategy to achieve dynamic optimization and closed-loop control of the ignition process.

[0067] This implementation effectively improves the success rate of low-calorific-value gas ignition and the stability of the initial combustion phase by integrating high-energy ignition, flame detection, and intelligent algorithm analysis. The support vector machine algorithm implements pattern recognition and classification of flame temperature data, enabling the system to keenly identify stability issues in the initial stages of ignition and provide timely warnings of combustion anomalies. Regression analysis assists in predicting flame trends, providing the control system with a forward-looking decision-making basis to prevent flame extinction or system restarts caused by unstable combustion. This mechanism is particularly suitable for industrial scenarios with large fluctuations in methane concentration, low calorific value, or complex ignition environments. By continuously optimizing the ignition control strategy, the overall system response speed and ignition robustness are improved, enhancing the system's industrial feasibility and breadth of applicability.

[0068] The combustion stabilization control module obtains data on the methane content of the gas and the oxygen content of the flue gas during the combustion process, and adjusts the intake parameters of the combustion equipment accordingly. It uses flameless combustion technology to stably control the combustion process, including:

[0069] The methane content data of the fuel gas and the oxygen content data of the flue gas during the combustion process are obtained, and the original data set is obtained through real-time acquisition by the sensor. The fuel gas methane content data is separated from the original data set, and the abnormal values ​​are processed by data cleaning technology to obtain the methane data for adjustment. The range of change of the intake parameters is calculated based on the methane data for adjustment, and the intake parameter adjustment value is determined by a preset mapping function. The operating status of the combustion equipment is updated according to the intake parameter adjustment value, and a flameless combustion technology is used to generate a stable combustion flame. The oxygen content data of the flue gas of the stable combustion flame is obtained, and the trend of the oxygen content change is judged by the detection device. According to the trend of the oxygen content change, the support vector machine algorithm is used to analyze the stability of the combustion process to obtain a stability index value. If the stability index value is lower than the preset threshold value, the intake parameters are readjusted according to the fuel gas methane content data to generate an optimized combustion state.

[0070] This embodiment utilizes a closed-loop feedback control mechanism and an intelligent algorithm to achieve adaptive and stable regulation of the combustion process through 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 a raw data set. To ensure data validity, the system separates and cleans the methane content data, eliminating the influence of external disturbances or fault factors, and obtains adjustment methane data that can be used for regulation. Subsequently, the system calculates the range of change and specific adjustment values ​​of the intake parameters based on the adjustment methane data using a mapping function (such as a linear or nonlinear response curve), and immediately updates the control parameters of the combustion equipment, such as the intake flow rate, pressure, or mixing ratio. After the regulation is completed, the combustion process enters a flameless combustion mode (such as premixed flameless combustion, recirculation combustion, etc.), generating a stable flame state. The system continuously collects data on the flue gas oxygen content in the combustion products and analyzes its changing trends. The relationship between oxygen content changes and flame stability is modeled using a support vector machine algorithm, and a combustion stability index value is output. If the indicator value is lower than the set threshold, indicating that there are fluctuations or potential abnormalities in combustion, the system will re-evaluate the gas methane content data and adjust the intake parameters to optimize the combustion state, thereby achieving continuous, stable and efficient combustion control.

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

[0072] The combustion-supporting optimization module determines the combustion-supporting air volume of the combustion equipment based on the flue gas oxygen content data, and uses the precise combustion control device to adjust the combustion-supporting air volume and intake parameters in real time to maintain the stability of the main flame, including:

[0073] The flue gas oxygen content data is obtained through sensors to determine the combustion-supporting air volume requirements of the combustion equipment. The flue gas oxygen content data is processed using data analysis methods to determine the adjustment range of the combustion-supporting air volume. The combustion-supporting air volume is adjusted through a precise control device to obtain optimized intake parameters. The operating state of the combustion equipment is adjusted according to the intake parameters to 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. A machine learning algorithm is used to analyze the combustion state change trend, determine the parameter optimization plan, and update the control device instructions through the combustion state feedback data to obtain a continuous and stable output.

[0074] This embodiment achieves coordinated optimization of combustion-supporting gas and intake air parameters during the combustion process by establishing a real-time, coordinated control mechanism based on flue gas oxygen content feedback. The system first uses sensors to acquire flue gas oxygen content data from combustion products to determine whether the combustion zone is experiencing insufficient or excessive combustion-supporting gas. After processing by the data analysis module, key features are extracted and the direction and magnitude of combustion-supporting air volume adjustment are determined, forming a preliminary control decision. Based on this decision, the precision control device adjusts the combustion-supporting air system (such as the variable-frequency blower and flow valve) while simultaneously acquiring new intake air parameter data (including intake air velocity, pressure, and mixture ratio). This information is then used to adjust the operating state of the combustion equipment to achieve a stable and uniform main flame profile. If the main flame status monitoring results indicate deviations from a preset threshold, such as flame center drift, flame shrinkage, or incomplete combustion, the control system activates the coordinated control mechanism to dynamically adjust the combustion-supporting air volume and intake air parameters. Using machine learning algorithms (such as LSTM or regression trees), the system analyzes combustion state trends from historical and real-time data to predict the optimal control direction and parameter combination, ultimately forming an optimization solution. Ultimately, the control device output is updated through continuous combustion state feedback, achieving an efficient, stable, closed-loop combustion control process.

[0075] This implementation significantly improves the control accuracy and response speed of the combustion system to the main flame state. The oxygen content feedback mechanism adjusts the combustion air volume in real time to avoid energy efficiency reduction due to excessive air or incomplete combustion due to insufficient combustion support, thereby achieving dual optimization of combustion efficiency and emission control. The precise control device works synergistically with the machine learning algorithm to dynamically adapt to changes in gas quality and environmental disturbances, maintain flame stability and morphological consistency, and reduce system fluctuations and unplanned downtime events. This control mechanism is highly adaptable and resistant to disturbances to the main flame state, and is particularly suitable for application environments where low calorific value gas is prone to fluctuations and the combustion window is narrow, providing intelligent and reliable combustion optimization support for system operation.

[0076] The boundary and emission control module obtains smoke composition data under combustion conditions, controls the flame retardant device to constrain the flame boundary, and determines whether the nitrogen oxide concentration is below a preset threshold, including:

[0077] Obtain flue gas composition data in the combustion state, collect real-time information through sensors, obtain the original data set of flue gas composition, constrain the flame boundary through the flame retardant device, use the control algorithm to adjust the device parameters, determine the flue gas composition change data after boundary constraint, perform component analysis on the change data, use spectral analysis to extract nitrogen oxide characteristics, and obtain nitrogen oxide concentration values. If the nitrogen oxide concentration value is higher than the preset threshold, calculate the deviation through the information processing link to determine the degree of concentration exceeding the standard, adjust the operating parameters of the flame retardant device according to the deviation data, use the feedback mechanism to optimize the boundary constraint, obtain updated flue gas composition data, re-analyze the nitrogen oxide concentration based on 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] This embodiment ensures that nitrogen oxide emissions during combustion are within the permitted range of environmental protection by constructing a coordinated control mechanism for flame boundary constraints and flue gas emissions. The system first uses a gas analysis sensor to obtain real-time data on 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 and heat reflective covers) are used to spatially constrain the flame boundary to prevent the flame from expanding and causing overheating areas, thereby inducing high-temperature NOx generation reactions. The system dynamically adjusts the parameters of the flame retardant device (such as the grid opening angle and cooling intensity) according to the boundary control algorithm, and obtains real-time flue gas change data before and after boundary adjustment. A high-resolution spectral analysis method is used to compare the changed flue gas components, accurately extract the characteristic spectral lines of nitrogen oxides, and thus calculate the NOx concentration value. If the detected concentration exceeds the preset environmental protection threshold, the information processing unit immediately calculates the actual deviation, analyzes the degree of exceeding the standard, and adjusts the operating status of the flame retardant device to optimize the flame boundary constraint performance. This process forms a feedback loop, continuously updating flue gas data and concentration judgments until the NOx concentration is within the compliance range; if repeated adjustments still fail to meet the standard, the deviation trend data is recorded and log information is generated for operation and maintenance optimization or system calibration.

[0079] This implementation method achieves real-time suppression and dynamic regulation of NOx emissions by combining refined control of flame spatial behavior with flue gas composition analysis technology. The boundary constraint mechanism prevents excessive flame expansion, backflow, or the formation of high-temperature peak areas, effectively reducing the generation of thermal NOx; combined with 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 system's self-learning ability, can continuously optimize boundary adjustment behavior, and improve NOx compliance efficiency. This solution provides a solution path that combines intelligence and environmental compliance for dealing with variable gas composition and complex working conditions, and is particularly suitable for industrial gas applications that must 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 exhaust channel, including:

[0081] If the nitrogen oxide concentration is lower than the preset threshold, the nitrogen oxide content data in the flue gas is obtained through the sensor to determine the concentration value. The concentration value is compared with the threshold through the 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 the flue gas purification device to obtain the 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 establishes an intelligently controlled flue gas purification and emission process by setting nitrogen oxide concentration thresholds and automatic decision logic. First, the system continuously monitors the NOx concentration in the flue gas, collecting and calculating the current concentration value in real time through a gas sensor. When the measured value falls below the set safe emission threshold, the system uses a decision module to confirm whether the conditions for entering the purification process are met. If the conditions are met, the controller activates a flue gas purification device, such as selective catalytic reduction (SCR), selective non-catalytic reduction (SNCR), or low-temperature plasma treatment equipment, to deeply remove residual pollutants from the combustion products, generating an intermediate flue gas. A flue gas analyzer then analyzes the intermediate flue gas for components such as NOx, CO, and SO2 to determine whether the purification efficiency meets the required standards. If so, the control system allows the intermediate flue gas to enter the emission channel and monitors the flow rate, pressure, and other data within the channel in real time to verify that gas emissions are normal. The system records the purification efficiency and emission status in a real-time log and stores it in a database for environmental monitoring, historical tracing, and system optimization.

[0083] This implementation method builds a low-emission and high-safety exhaust gas 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 only starts the post-processing program 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 full-process monitoring is achieved to improve environmental emission compliance and system reliability. Flow and status monitoring of the emission channel makes terminal emissions controllable and traceable, further enhancing the stability and security of the system. The digital storage log mechanism facilitates traceability and supervision by corporate environmental audits and management departments, and improves the informationization and intelligence level of the system.

[0084] The flue gas purification module also includes: a flue gas analysis and control subunit, which is used to use a flue gas analyzer to detect the flue gas components in the intermediate flue gas after the flue gas is treated by the purification device to determine whether the purification efficiency meets the standard; if the purification efficiency meets the standard, the emission channel is controlled to output the intermediate flue gas as the target flue gas.

[0085] This embodiment further strengthens the post-processing control capability of the flue gas purification module by introducing a dedicated flue gas analysis and control subunit. After the intermediate flue gas is processed by a purification device (such as an SCR denitrification device, a filter, a washing tower, 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 subunit. The control subunit determines whether the current purification level meets the standard by comparing with the system's preset purification efficiency standard. If the test results show 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 emission channel control mechanism, opens the emission channel, and discharges the intermediate flue gas into the environment as the target flue gas. This process ensures that the emission operation is strictly based on data judgment, improving environmental compliance and the intelligence of process control.

[0086] This implementation strengthens the final quality control link before flue gas emissions, and achieves quantitative determination of the intermediate flue gas purification status through the flue gas analysis and control subunit, thus avoiding excessive pollutant emissions due to misjudgment or purification anomalies. The control subunit is linked to the emission channel, giving the system data-based decision-making capabilities, improving the reliability and safety of emission behavior. The modular design facilitates system expansion and upgrades and can be adapted to different types of purification equipment and emission standards. This solution is particularly suitable for industrial flue gas treatment scenarios with strict environmental regulations, high emission frequency, or complex composition, improving the system's operational transparency, automation level, and environmental compliance capabilities.

[0087] Low-calorific-value associated gas refers to natural gas produced simultaneously with oil production. It typically coexists with oil, existing in the upper reaches of oil reservoirs or dissolved in crude oil, hence the name associated gas or solution gas. Associated gas primarily consists of methane, carbon dioxide, hydrogen sulfide, water, and helium. Its low calorific value is due to its low methane content (typically less than 20%) or high concentration of non-hydrocarbon gases (carbon dioxide, nitrogen, and water).

[0088] like Figure 2As shown, the raw material is low-calorific-value associated gas from oil fields or chemical plants. It first enters the raw associated gas feed tank for temporary storage. A manual valve and filter are used to remove particulate matter and droplets, and the pressure is stabilized in a surge tank. The associated gas then enters the blower air supply branch through a solenoid valve and flow control valve, where it is mixed with the main gas and delivered to the closed combustion chamber. The combustion section utilizes a two-stage burner with a multi-point air distribution structure. By controlling the gas proportional valve, the combustion air proportional valve, the distribution air proportional valve, and the blower operating parameters, staged air distribution and quantitative gas control are achieved. This effectively reduces the oxygen content and flame temperature in the combustion zone, thereby suppressing NOx formation and achieving low-NOx combustion. After cooling through a high-temperature filter and heat exchanger, the exhaust gas enters the exhaust treatment unit, where NOx, SO2, and residual hydrocarbon gases are purified through an alkali solution scrubber and an activated carbon adsorption device. The purified exhaust gas is discharged into the standard-compliant emission system through an induced draft fan. The entire system is equipped with a DCS control unit, which provides real-time monitoring of key parameters such as temperature, pressure, flow rate, oxygen content, and NOx concentration. Alarm interlocks and automatic flameout protection mechanisms are also implemented to ensure combustion stability and operational safety. This implementation is suitable for low-calorific value associated gas with a calorific value as low as 3MJ / Nm³. It offers advantages such as compact structure, high combustion efficiency, low nitrogen oxide emissions, and standard-compliant tail gas emissions. It is widely applicable to waste gas resource utilization in oil and gas fields, refineries, and coal chemical industries.

[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 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 a combustion air path; a first manual valve 1 is provided at the front end of the vapor-liquid separation device 2, and the rear end is connected in sequence to the safety valve 3 and the flame arrester 4; after being processed by the above 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] This system achieves a purified and stable gas supply through multi-stage processing and control of low-calorific value associated gas. First, the low-calorific value associated gas passes through a first manual valve 1 and enters a vapor-liquid separator 2, effectively removing liquid impurities from the gas and ensuring the safety and stability of subsequent processing equipment. Next, the gas passes through a safety valve 3 for overpressure protection and a flame arrester 4 to prevent flashback. A pressure reducer 5 adjusts the gas pressure to a range suitable for combustion conditions. A cyclone separator 6 further removes particulate impurities. A flow meter 7 and a pressure stabilizer 8 ensure stable gas flow rate and pressure. The treated gas enters a main gas line valve block 13, where it is distributed to multiple combustion branches via a branch gas line valve block 12 or enters a vortex device 11 for thorough mixing with combustion air provided by a blower 9. The mixed gas is then fed into a sealed combustion chamber 14 for low-nitrogen combustion. The vortex device 11 creates a stable rotating flow field, improving the uniformity of the air and gas mixture, effectively controlling the combustion temperature, suppressing the formation of nitrogen oxides, and ensuring compliance with environmental standards.

[0091] This implementation significantly improves the flammability and combustion stability of low-calorific-value associated gas by installing a complete set of gas source purification and pressure control equipment at the front end of the combustion system. This effectively prevents damage to the combustion equipment caused by liquid impurities or solid particles, thereby increasing the safety and operating life of the system. A fan is used to provide combustion air, which is introduced through a dedicated channel into a swirl device to ensure that the gas and air are fully mixed before entering the combustion chamber. This effectively improves combustion efficiency and reduces combustion temperature, significantly reducing nitrogen oxide emissions and achieving the environmentally friendly goal of low-nitrogen combustion. Furthermore, the multi-branch design enhances the system's gas supply flexibility and scalability, adapting to different operating conditions.

[0092] In the above embodiment, the vapor-liquid separation device 2 can be replaced by a centrifugal separator or a gas-liquid filter, and the configuration can be adjusted according to the liquid content in the gas source; the specifications 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 meet different control accuracy requirements; the fan 9 can be an axial flow fan or a centrifugal fan, and can be equipped with a frequency converter to adjust the air supply volume; the structure of the vortex device 11 can also adjust the vortex guide structure according to the combustion chamber size and gas type to achieve a better mixing effect. In addition, the entire system can also be equipped with an automatic monitoring and control module to achieve intelligent adjustment of pressure, flow rate, and combustion status, enhancing system adaptability and operational efficiency.

[0093] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A low calorific value associated gas low nitrogen closed combustion and purification system, characterized in that: The system comprises: The fuel proportioning module is used to obtain the methane concentration and flow data of the low calorific value associated gas, determine the blending ratio of the auxiliary ignition fuel, and adjust the fuel proportion of the low calorific value associated gas; The air-fuel ratio control module is used to obtain the data on the amount of combustion-supporting materials supplied, calculate and determine the air-fuel ratio, and use the air-fuel ratio to pre-treat the low calorific value associated gas after the ratio adjustment to generate the mixed gas to be ignited; The closed environment management module is used to obtain data on the closed combustion environment, remove combustible materials in the closed space by controlling the purge device, and determine the temperature threshold required for ignition based on the environmental data; The ignition control module is used to control the high-energy ignition device to ignite the pre-treated mixed gas, and detect the initial flame temperature through the flame monitoring device to determine whether the set ignition temperature threshold is reached; The combustion stabilization adjustment module is used to obtain the methane content data of the gas and the oxygen content data of the flue gas during the combustion process, and adjust the intake parameters of the combustion equipment accordingly, using the flameless combustion technology to stably control the combustion process; The combustion-supporting optimization module is used to determine the combustion-supporting air volume of the combustion equipment based on the flue gas oxygen content data, and to adjust the combustion-supporting air volume and intake parameters in real time through the precise combustion control device to maintain the stability of the main flame; The boundary and emission control module is used to obtain smoke composition data under combustion conditions, control the flame retardant device to constrain the flame boundary, and determine whether the nitrogen oxide concentration is below a preset threshold; The flue gas purification module is used to post-process the combustion products through the flue gas purification device when the nitrogen oxide concentration meets the requirements, and output the purified target flue gas to the environment through the exhaust channel; The fuel proportioning module obtains 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 proportioning adjustment of the low calorific value associated gas includes: Obtain methane concentration data and flow data of low calorific value associated gas, record real-time values ​​through the sensor acquisition system, obtain concentration and flow basic data sets, process methane concentration data through concentration analysis, use support vector machine algorithm to classify concentration change trends, determine concentration interval distribution, calculate ignition ratio based on concentration interval distribution, if methane concentration is lower than the preset threshold, increase auxiliary fuel ratio, obtain ignition ratio parameter, use flow data combined with ignition ratio parameter, predict fuel blending demand through linear regression algorithm, determine blending ratio value, adjust fuel ratio according to blending ratio value, automatically update ratio adjustment parameters, obtain optimized fuel ratio scheme, blend low calorific value gas with fuel through optimized fuel ratio scheme, use real-time monitoring tool to verify blending ratio execution effect, determine ratio adjustment completion degree, obtain verified ratio adjustment completion degree data, analyze low calorific value gas stability of associated gas source through data comparison, and determine final fuel ratio result; The combustion stabilization adjustment module obtains the methane content data of the gas and the oxygen content data of the flue gas during the combustion process, and adjusts the intake parameters of the combustion equipment accordingly, and adopts the flameless combustion technology to stably control the combustion process, including: Obtaining gas methane content data and flue gas oxygen content data during the combustion process, acquiring raw data sets in real time through sensors, separating gas methane content data through the raw data sets, processing abnormal values ​​using data cleaning technology, obtaining adjustment methane data, calculating the intake parameter variation range based on the adjustment methane data, determining the intake parameter adjustment value using a preset mapping function, updating the combustion equipment operating status using the intake parameter adjustment value, generating a stable combustion flame using flameless combustion technology, obtaining flue gas oxygen content data for the stable combustion flame, determining the oxygen content variation trend using a detection device, analyzing the combustion process stability based on the oxygen content variation trend using a support vector machine algorithm, and obtaining a stability index value; if the stability index value is lower than a preset threshold, readjusting the intake parameters using the gas methane content data to generate an optimized combustion state; The boundary and emission control module obtains smoke composition data under the combustion state, controls the flame retardant device to constrain the flame boundary, and determines whether the nitrogen oxide concentration is lower than a preset threshold, including: Obtain flue gas composition data in the combustion state, collect real-time information through sensors, obtain the original data set of flue gas composition, constrain the flame boundary through the flame retardant device, use the control algorithm to adjust the device parameters, determine the flue gas composition change data after boundary constraint, perform component analysis on the change data, use spectral analysis to extract nitrogen oxide characteristics, and obtain nitrogen oxide concentration values. If the nitrogen oxide concentration value is higher than the preset threshold, calculate the deviation through the information processing link to determine the degree of concentration exceeding the standard, adjust the operating parameters of the flame retardant device according to the deviation data, use the feedback mechanism to optimize the boundary constraint, obtain updated flue gas composition data, re-analyze the nitrogen oxide concentration based on 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.

2. The low-nitrogen closed combustion and purification system for low calorific value associated gas according to claim 1, characterized in that: The air-fuel ratio control module obtains the combustion-supporting material supply data, calculates and determines the air-fuel ratio, and uses the air-fuel ratio to pre-treat the low calorific value associated gas after the ratio adjustment to generate the mixed gas to be ignited, including: Obtain the combustion-supporting material supply quantity data and flow data, collect real-time values ​​through sensors, and obtain an 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 data, and C represents the combustion-supporting material supply quantity, to obtain the air-fuel ratio value, and judge the ratio state according to the air-fuel ratio value. If the air-fuel ratio exceeds the preset range, change the associated gas input by adjusting the valve to obtain the adjusted ratio data, and use the adjusted ratio data to pretreat the low calorific value associated gas, and generate a uniform mixed gas through a mixing device to obtain a pretreated mixture, and detect its uniformity through the pretreated mixture. If the uniformity is lower than the preset threshold, optimize the mixing by a stirring device to obtain an optimized mixed gas, obtain the component parameters of the optimized mixed gas, and confirm that it meets the ignition conditions through an analytical device to obtain the mixed gas to be ignited, and perform 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.

3. The low-nitrogen closed combustion and purification system for low calorific value associated gas according to claim 1, characterized in that: The closed environment management module obtains data on the closed combustion environment, removes combustibles in the closed space by controlling the purge device, and determines the temperature threshold required for ignition based on the environmental data, including: The combustion environment data in the closed environment is collected through sensors to obtain real-time data. The real-time data is processed using data analysis technology to determine the combustible content in the combustion environment. If the combustible content exceeds the preset threshold, the purge device is activated to remove the combustible material. The environmental monitoring data after the removal process is obtained to determine whether the combustible material is below the safety threshold. The optimal conditions before ignition are calculated based on the environmental monitoring data to obtain the ignition temperature range. Based on the ignition temperature range and real-time data, a machine learning algorithm is used to optimize the temperature threshold and determine the final threshold. The combustion environment parameters are adjusted based on the threshold determination results to complete the pre-ignition preparation.

4. The low-nitrogen closed combustion and purification system for low calorific value associated gas according to claim 1, characterized in that: 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: The low calorific value associated gas after the proportion adjustment is ignited by a high-energy ignition device 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 flame generation state is recorded by the data processing unit. According to the flame generation state, the stability of the temperature data is classified and judged using the support vector machine algorithm to determine whether the flame is continuous. The flame duration and temperature change trend are obtained through the monitoring device to determine whether the stable combustion conditions are met. If the temperature change trend exceeds the preset range, the flame decay time is predicted by the regression analysis algorithm to obtain the adjustment requirements. The proportion adjustment parameters are updated according to the adjustment requirements to generate an optimized ignition control scheme.

5. The low-nitrogen closed combustion and purification system for low calorific value associated gas according to claim 1, characterized in that: The combustion-supporting optimization module determines the combustion-supporting air volume of the combustion equipment based on the flue gas oxygen content data, and uses the precise combustion control device to adjust the combustion-supporting air volume and intake parameters in real time to maintain the stability of the main flame. The module includes: The flue gas oxygen content data is obtained through sensors to determine the combustion-supporting air volume requirements of the combustion equipment. The flue gas oxygen content data is processed using data analysis methods to determine the adjustment range of the combustion-supporting air volume. The combustion-supporting air volume is adjusted through a precise control device to obtain optimized intake parameters. The operating state of the combustion equipment is adjusted according to the intake parameters to 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. A machine learning algorithm is used to analyze the combustion state change trend, determine the parameter optimization plan, and update the control device instructions through the combustion state feedback data to obtain a continuous and stable output.

6. The low-nitrogen closed combustion and purification system for low calorific value associated gas according to claim 1, characterized in that: When the nitrogen oxide concentration meets the requirement, 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 exhaust channel, including: If the nitrogen oxide concentration is lower than the preset threshold, the nitrogen oxide content data in the flue gas is obtained through the sensor to determine the concentration value. The concentration value is compared with the threshold through the 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 the flue gas purification device to obtain the 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.

7. The low calorific value associated gas low nitrogen closed combustion and purification system according to claim 1, characterized in that: 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 main gas line valve group (13) connected in sequence, wherein the main gas line valve group (13) is respectively connected to a branch gas 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 pipeline valve group (12) is also connected to the closed combustion chamber (14) for supplying gas to multiple branches; The main gas line valve group (13) is also connected to the electric valve (10), and the electric valve (10) is connected to the fan (9). The fan (9) is used to provide combustion-supporting air and is connected to the vortex device (11) through the combustion-supporting air path; The vapor-liquid separation device (2) is provided with a first manual valve (1) at the front end, and a safety valve (3) and a flame arrester (4) are connected to the rear end in sequence; After being processed by the above components in sequence, the fuel gas enters the vortex device (11) and is fully mixed with the combustion-supporting air, and is finally sent to the closed combustion chamber (14) to achieve low-nitrogen combustion.

Images