Unit desulfurization control system and method

Abstract

The invention provides a unit desulfurization control system and method, and belongs to the technical field of unit desulfurization control, and the system comprises a monitoring module which obtains a sensor according to the use environment and use condition of a unit, and monitors a plurality of related parameters of flue gas in real time according to the sensor; the adjusting and optimizing module is used for obtaining combustion process parameters based on machine learning according to the multiple related parameters and automatically adjusting and optimizing combustion parameters of the combustor based on a fuzzy control algorithm according to the combustion process parameters; the first acquisition module is used for adjusting operation parameters of the desulfurization system according to the combustion parameters and acquiring an operation strategy of the desulfurization system according to the operation parameters; and the evaluation module is used for evaluating the operation strategy, obtaining an evaluation result and carrying out desulfurization control on the unit according to the evaluation result. The problems that the performance of a unit desulfurization control system is reduced, emission of sulfur dioxide is increased, secondly, operation parameters of the system cannot be monitored in real time, accidents may be caused, and meanwhile the environment is greatly polluted are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of unit desulfurization control, and in particular to a unit desulfurization control system and method. Background Art

[0002] In the current environment where environmental protection policies are becoming increasingly stringent, reducing the impact of combustion emissions on the atmospheric environment has become a top priority.

[0003] The traditional unit desulfurization control system cannot adapt to the ever-changing environmental conditions, which will lead to reduced system performance, affect desulfurization efficiency, and increase sulfur dioxide emissions. Secondly, the traditional unit desulfurization control system cannot monitor the system's operating parameters in real time, which may lead to accidents and greatly pollute the environment.

[0004] Therefore, the present invention proposes a unit desulfurization control system and method. Summary of the invention

[0005] The present invention provides a unit desulfurization control system and method, which are used to solve the problems in the prior art that the traditional unit desulfurization control system cannot adapt to the constantly changing environmental conditions, which will lead to reduced system performance, affect the desulfurization efficiency, and increase the emission of sulfur dioxide. Secondly, the traditional unit desulfurization control system cannot monitor the operating parameters of the system in real time, which may lead to the occurrence of accidents and greatly pollute the environment.

[0006] In one aspect, the present invention provides a unit desulfurization control system, comprising:

[0007] Monitoring module: obtaining sensors according to the unit use environment and use conditions, and monitoring multiple relevant parameters of flue gas in real time according to the sensors;

[0008] Adjustment and optimization module: obtaining combustion process parameters based on machine learning according to the multiple related parameters, and automatically adjusting and optimizing the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters;

[0009] A first acquisition module: adjusting the operating parameters of the desulfurization system according to the combustion parameters, and acquiring the operating strategy of the desulfurization system according to the operating parameters;

[0010] Evaluation module: evaluates the operation strategy, obtains the evaluation result, and performs desulfurization control on the unit based on the controller according to the evaluation result.

[0011] According to the present invention, a unit desulfurization control system and a monitoring module are provided, comprising:

[0012] The first determination unit: determines the environmental parameters of the unit according to the unit use environment, and determines the operation mode and operation purpose of the unit according to the unit use conditions;

[0013] A first acquisition unit: acquiring corresponding sensors according to the environmental parameters, operation mode and operation purpose;

[0014] Monitoring unit: monitors multiple relevant parameters of the flue gas in real time according to the sensor.

[0015] According to the present invention, a unit desulfurization control system and an adjustment and optimization module are provided, comprising:

[0016] Preprocessing unit: preprocessing the multiple related parameters to obtain preprocessing results;

[0017] The second acquisition unit: acquires the combustion rate and thermal enthalpy change based on machine learning according to the preprocessing result;

[0018] A third acquisition unit: acquiring combustion process parameters according to the combustion rate and thermal enthalpy change;

[0019] A selection unit: determining the input and output variables of the fuzzy control algorithm according to the combustion process parameters, obtaining a fuzzy set according to the input variables, and selecting an optimal operation from the fuzzy set according to the output variables;

[0020] Adjustment and optimization unit: according to the optimal operation setting fuzzy control rules, according to the fuzzy control rules, the fuzzy controller is operated based on the fuzzy control algorithm to automatically adjust and optimize the combustion parameters of the burner.

[0021] According to a unit desulfurization control system provided by the present invention, a first acquisition module includes:

[0022] A fourth acquisition unit: acquiring and controlling the concentration of sulfur dioxide at the inlet and the pH value of the slurry according to the combustion parameters;

[0023] Adjustment unit: increasing the capacity of the oxidation fan and optimizing the structure of the absorption tower and the spray system according to the concentration of sulfur dioxide and the pH value of the slurry;

[0024] The fifth acquisition unit is configured to acquire the adjusted operating parameters of the desulfurization system, acquire key factors affecting the operation of the desulfurization system according to the operating parameters, and acquire an operating strategy of the desulfurization system according to the key factors.

[0025] According to the present invention, a unit desulfurization control system and an evaluation module are provided, comprising:

[0026] Comparison unit: obtaining the desulfurization performance during the actual operation under the operation strategy, and comparing it with the preset desulfurization target to obtain a comparison result;

[0027] Evaluation unit: evaluates the operation strategy according to the comparison result and obtains the evaluation result;

[0028] Control unit: Analyze the evaluation results to obtain multiple factors affecting the desulfurization performance, adjust the operation strategy in real time according to the factors, and perform desulfurization control on the unit based on the controller according to the adjusted operation strategy.

[0029] A unit desulfurization control system provided by the present invention also includes:

[0030] The second acquisition module: obtains the combustion efficiency by changing the flame shape and the burner geometry;

[0031] A third acquisition module: adjusting the fuel composition according to the combustion efficiency, and acquiring the ash content in the fuel according to the adjusted fuel composition;

[0032] Adding module: increasing the circulation volume in the desulfurization tower according to the ash content in the fuel, and obtaining the circulation rate and heat exchange effect of the desulfurization tower;

[0033] Combustion module: Combustion the fuel based on the pyrolysis combustion technology according to the circulation rate and heat exchange effect.

[0034] According to a unit desulfurization control system provided by the present invention, before the second acquisition module, a target geometric structure and a target flame shape are acquired as reference samples for evaluating combustion efficiency, including:

[0035] The fourth acquisition module: acquires the combustion state of the fuel under different flame shapes and the combustion operating parameters of the burner under different geometric structures;

[0036] The first determination module is to obtain flame jitter information corresponding to the combustion state under different flame shapes, and determine the spatial distribution characteristics of the one-dimensional flame heat release rate and the spatial distribution characteristics of the two-dimensional flame heat release rate under different flame shapes according to the flame jitter information;

[0037] The second determination module: determines the folded spatial distribution characteristics of the spatial distribution characteristics of the one-dimensional flame heat release rate and the spatial distribution characteristics of the two-dimensional flame heat release rate;

[0038] The first screening module is used to screen out qualified target flame shapes based on the folded spatial distribution characteristics, and determine a first geometric structure of the burner that can maintain the target flame shape;

[0039] Extraction module: extracting target combustion condition parameters of the first geometric structure from the combustion condition parameters of the burner under different geometric structures;

[0040] The third determination module: determines the burner's fire detection intensity index value, smoke exhaust temperature index value and gas emission index value according to the target combustion condition parameters;

[0041] Evaluation module: evaluates the combustion stability and environmental performance of the burner under the first geometric structure according to the fire detection intensity index value, smoke exhaust temperature index value and gas emission index value of the burner;

[0042] Second screening module: Screen out a second geometric structure that meets the combustion requirements based on the evaluation results, and use the second geometric structure and the target flame shape as reference samples for evaluating combustion efficiency.

[0043] A unit desulfurization control method provided by the present invention includes:

[0044] Step 1: Obtain a sensor according to the unit use environment and use conditions, and monitor multiple relevant parameters of flue gas in real time according to the sensor;

[0045] Step 2: Obtain combustion process parameters based on machine learning according to the multiple related parameters, and automatically adjust and optimize the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters;

[0046] Step 3: adjusting the operating parameters of the desulfurization system according to the combustion parameters, and obtaining an operating strategy of the desulfurization system according to the operating parameters;

[0047] Step 4: Evaluate the operation strategy, obtain evaluation results, and perform desulfurization control on the unit based on the controller according to the evaluation results.

[0048] Compared with the prior art, the beneficial effects of this application are as follows:

[0049] The beneficial effects of the above technical solution are: by detecting multiple parameters of flue gas through sensors and obtaining combustion parameters, the operating parameters and operating strategies of the desulfurization system are adjusted according to the combustion parameters, which can ensure that the unit's desulfurization control system adapts to changing environmental conditions, improve system performance and desulfurization efficiency, and reduce sulfur dioxide emissions. At the same time, the system's operating parameters can be monitored in real time to avoid accidents and protect the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0051] Figure 1 It is a schematic diagram of the structure of a unit desulfurization control system provided by an embodiment of the present invention;

[0052] Figure 2 It is a flow chart of a unit desulfurization control method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] The embodiment of the present invention provides a unit desulfurization control system, such as Figure 1 As shown, the system mainly includes the following modules:

[0056] Monitoring module: obtaining sensors according to the unit use environment and use conditions, and monitoring multiple relevant parameters of flue gas in real time according to the sensors;

[0057] Adjustment and optimization module: obtaining combustion process parameters based on machine learning according to the multiple related parameters, and automatically adjusting and optimizing the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters;

[0058] Acquisition module: adjusting the operation parameters of the desulfurization system according to the combustion parameters, and acquiring the operation strategy of the desulfurization system according to the operation parameters;

[0059] Evaluation module: evaluates the operation strategy, obtains the evaluation result, and performs desulfurization control on the unit based on the controller according to the evaluation result.

[0060] In this embodiment, the multiple related parameters include: temperature, pressure, and flow rate.

[0061] In this embodiment, the combustion process parameters include: oxygen concentration, mixture composition, ignition pressure, and combustion rate.

[0062] In this embodiment, the fuzzy control algorithm is a control method that handles uncertainty and imprecise information.

[0063] In this embodiment, the burner is a thermal power device, and the combustion process parameters include: fuel type and quality, air supply, combustion speed, and combustion temperature.

[0064] In this embodiment, the desulfurization system is a device used to reduce pollutants such as sulfur dioxide and nitrogen oxides emitted during the combustion of fossil fuels such as coal, oil and natural gas. The operating parameters include: inlet flue gas flow rate, outlet flue gas temperature, desulfurizer injection amount, and desulfurizer circulation rate.

[0065] In this embodiment, the desulfurization system operation strategies include: automatic control system, manual control system, dynamic balance, and deep removal.

[0066] The beneficial effects of the above technical solution are: by detecting multiple parameters of flue gas through sensors and obtaining combustion parameters, the operating parameters and operating strategies of the desulfurization system are adjusted according to the combustion parameters, which can ensure that the unit's desulfurization control system adapts to changing environmental conditions, improve system performance and desulfurization efficiency, and reduce sulfur dioxide emissions. At the same time, the system's operating parameters can be monitored in real time to avoid accidents and protect the environment.

[0067] Embodiment 2:

[0068] Based on Example 1, the monitoring module of the embodiment of the present invention includes:

[0069] Determine the environmental parameters of the unit according to the unit's operating environment, and determine the unit's operating mode and purpose according to the unit's operating conditions;

[0070] Acquire corresponding sensors according to the environmental parameters, operation mode and operation purpose;

[0071] The sensors are used to monitor multiple flue gas related parameters in real time.

[0072] In this embodiment, the environmental parameters of the unit include: temperature, humidity, and dust.

[0073] In this embodiment, the unit is a device that converts sulfur dioxide produced by combustion into harmless calcium sulfate and removes most of the particles and droplets. The operation modes include: natural ventilation, forced ventilation, and thermal cycle.

[0074] In this embodiment, the multiple related parameters include: temperature, pressure, and flow rate.

[0075] The beneficial effect of the above technical solution is: by acquiring sensors according to the unit's operating environment and conditions, and monitoring multiple relevant parameters of the flue gas in real time, the changing trend of the unit's desulfurization load can be more accurately judged based on the real-time monitoring data, and then the desulfurization control strategy can be adjusted to achieve the best desulfurization effect.

[0076] Embodiment 3:

[0077] Based on Example 2, the embodiment of the present invention adjusts the optimization module, including:

[0078] Preprocessing the multiple related parameters to obtain preprocessing results;

[0079] Obtain combustion rate and thermal enthalpy changes based on machine learning according to preprocessing results;

[0080] Obtaining combustion process parameters according to the combustion rate and thermal enthalpy change;

[0081] Determine the input and output variables of the fuzzy control algorithm according to the combustion process parameters, obtain the fuzzy set according to the input variables, and select an optimal operation from the fuzzy set according to the output variables;

[0082] According to the optimal operation, a fuzzy control rule is set, and a fuzzy controller is operated based on a fuzzy control algorithm according to the fuzzy control rule to automatically adjust and optimize the combustion parameters of the burner.

[0083] In this embodiment, during the operation of the desulfurization unit, the parameter preprocessing method includes: particle filtering, humidity adjustment, and temperature control.

[0084] In this embodiment, the combustion rate refers to the process in which the fuel reacts rapidly with oxygen in the air and releases a large amount of heat energy.

[0085] In this embodiment, enthalpy change is a method to measure the thermal state of fuel, and is mainly used to study the change of fuel internal energy.

[0086] In this embodiment, the input of the fuzzy control algorithm is the real-time parameters in the combustion process, such as temperature, pressure, and oxygen concentration; the output is the combustion intensity or flame shape of the burner.

[0087] In this embodiment, each element in the fuzzy set corresponds to an operation, such as increasing the fuel flow rate and reducing the air flow rate.

[0088] In this embodiment, the fuzzy control rules include a series of conditional statements, such as increasing the fuel flow rate when the temperature is less than a certain threshold; and reducing the air flow rate when the oxygen concentration is greater than another threshold.

[0089] In this embodiment, when the combustion parameters of the burner deviate too much from the set values, the fuzzy controller will start and automatically adjust the combustion parameters. For example, when the temperature is too high, the fuzzy controller will increase the fuel flow rate and lower the flame temperature; when the oxygen concentration is too low, the fuzzy controller will reduce the air flow rate and increase the flame height.

[0090] The beneficial effects of the above technical solution are: obtaining combustion process parameters based on machine learning according to multiple related parameters, and automatically adjusting and optimizing the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters, which can achieve a more efficient combustion process, make the combustion more complete, and improve the combustion efficiency.

[0091] Embodiment 4:

[0092] Based on Example 3, the acquisition module of the embodiment of the present invention includes:

[0093] According to the combustion parameters, the concentration of sulfur dioxide at the control inlet and the pH value of the slurry are obtained;

[0094] According to the concentration of sulfur dioxide and the pH value of the slurry, the capacity of the oxidation fan is increased and the structure of the absorption tower and the spray system are optimized;

[0095] The adjusted operating parameters of the desulfurization system are obtained, key factors affecting the operation of the desulfurization system are obtained according to the operating parameters, and the operating strategy of the desulfurization system is obtained according to the key factors.

[0096] In this embodiment, sulfur dioxide is a colorless gas with a pungent odor and is one of the main pollutants produced by the combustion of fossil fuels such as coal and oil. The concentration of sulfur dioxide is generally expressed in grams per cubic meter of air.

[0097] In this embodiment, the pH value of the slurry refers to the strength of the acidity or alkalinity of the solution, reflecting the acidity or alkalinity of the solution. The pH value ranges from 0 to 14, where 7 represents a neutral solution. When the pH value is less than 7, the solution is acidic; when the pH value is greater than 7, the solution is alkaline; and when the pH value is equal to 7, the solution is neutral.

[0098] In this embodiment, the oxidation blower is an important device used in industrial production processes, and its main function is to oxidize the gas containing a certain amount of reducing agent to improve its purity and quality.

[0099] In this embodiment, the key factors include: the flue gas temperature and pressure may affect the selection and use of the desulfurizer; the flue gas flow rate will affect the consumption of the desulfurizer.

[0100] In this embodiment, the desulfurization system operation strategies include: automatic control system, manual control system, dynamic balance, and deep removal.

[0101] The beneficial effects of the above technical solution are: increasing the capacity of the oxidation fan and optimizing the structure of the absorption tower and the spray system according to the concentration of sulfur dioxide and the pH value of the slurry, adjusting and obtaining the operating parameters, obtaining the key factors affecting the operation of the desulfurization system, and being able to accurately adjust the operating strategy, thereby greatly improving the desulfurization effect of the desulfurization system.

[0102] Embodiment 5:

[0103] Based on Example 4, the evaluation module of the embodiment of the present invention includes:

[0104] Obtaining the desulfurization performance during the actual operation under the operation strategy, and comparing it with the preset desulfurization target to obtain the comparison result;

[0105] Evaluate the operation strategy according to the comparison result to obtain an evaluation result;

[0106] The evaluation results are analyzed to obtain multiple factors affecting the desulfurization performance, the operation strategy is adjusted in real time according to the factors, and the desulfurization of the unit is controlled based on the controller according to the adjusted operation strategy.

[0107] In this embodiment, the desulfurization performance refers to the ability of the desulfurization device to remove sulfur dioxide generated by the combustion of fuels such as coal and oil.

[0108] In this embodiment, the factors affecting the desulfurization performance include:

[0109] Feed concentration: The concentration of the desulfurization raw material directly affects the amount of desulfurizer used, thereby affecting the desulfurization effect. If the SO2 concentration in the raw material is low, more desulfurizer needs to be added; conversely, if the SO2 concentration in the raw material is high, it may cause a waste of desulfurizer.

[0110] Selection and use of desulfurizers: Commonly used desulfurizers include limestone-gypsum, activated carbon, titanium oxide, zirconium oxide, etc.

[0111] Process parameters: parameters of the desulfurization process, such as reaction temperature, reaction pressure, air flow rate, empty tower temperature, air pressure ratio, etc. For example, too high or too low temperature, too high or too low air flow rate, and unreasonable air preheating temperature may affect the desulfurization effect.

[0112] Equipment condition: If the equipment has problems such as blockage and wear, it will not only affect the desulfurization efficiency, but may also cause damage to the equipment itself.

[0113] The beneficial effects of the above technical solution are: evaluating the operation strategy, obtaining the evaluation results, and controlling the desulfurization of the unit based on the controller according to the evaluation results. The unit can be precisely controlled to ensure that the unit can achieve a high desulfurization effect under different operating conditions, thereby ensuring that emissions meet standards and reducing pollution to the environment.

[0114] Embodiment 6:

[0115] Based on Example 5, the embodiment of the present invention further includes:

[0116] Obtain combustion efficiency by changing the flame shape and burner geometry;

[0117] adjusting the fuel composition according to the combustion efficiency, and obtaining the ash content in the fuel according to the adjusted fuel composition;

[0118] Increasing the circulation volume in the desulfurization tower according to the ash content in the fuel to obtain the circulation rate and heat exchange effect of the desulfurization tower;

[0119] The fuel is combusted based on the pyrolysis combustion technology according to the circulation rate and the heat exchange effect.

[0120] In this embodiment, changing the flame shape includes:

[0121] Nozzle shape: If the nozzle is round, the flame will also be round; if the nozzle is conical, the flame will also be conical.

[0122] Gas flow rate: When the speed of the gas flow changes, the shape of the flame will also change. For example, if the gas flow rate increases, the flame will become thinner and longer; if the gas flow rate decreases, the flame will become wider.

[0123] Nozzle Position: The shape of the flame is also affected by the position of the nozzle. If the nozzle is positioned close to the flame, the flame will be narrow; if the nozzle is positioned away from the flame, the flame will be wide.

[0124] Fuel-air ratio: For example, increasing the oxygen content will make the flame wider, while decreasing the oxygen content will make the flame narrower.

[0125] In this embodiment, the burner geometry refers to the arrangement and organization of the various parts of the burner in space.

[0126] In this embodiment, the combustion efficiency reflects the degree of energy recovery during the combustion process.

[0127] In this embodiment, the ash in the fuel refers to the solid residue generated during the combustion of the fuel.

[0128] In this embodiment, the circulation volume in the desulfurization tower refers to the flow rate that continuously flows back from the absorbent liquid to the top of the desulfurization tower during the desulfurization process to maintain the continuous desulfurization process.

[0129] In this embodiment, the circulation rate of the desulfurization tower refers to the speed at which the desulfurization liquid circulates in the desulfurization tower in the desulfurization system.

[0130] In this embodiment, the heat exchange effect of the desulfurization tower reflects the efficiency of heat transfer during the desulfurization process.

[0131] In this embodiment, the pyrolysis combustion technology may be: a combustion optimization control system, and selective catalytic combustion.

[0132] The beneficial effects of the above technical solution are: adjusting the fuel composition through combustion efficiency and obtaining the ash content in the fuel, increasing the circulation volume in the desulfurization tower, obtaining the circulation rate and heat exchange effect of the desulfurization tower, and burning the fuel according to the pyrolysis combustion technology, which can deeply pyrolyze the fuel, improve the thermal efficiency of the fuel, reduce the generation of pollutants, thereby reducing environmental pollution and saving energy.

[0133] Embodiment 7:

[0134] Based on the sixth embodiment, before the second acquisition module of the embodiment of the present invention, the target geometric structure and the target flame shape are acquired as reference samples for evaluating the combustion efficiency, including:

[0135] The fourth acquisition module: acquires the combustion state of the fuel under different flame shapes and the combustion operating parameters of the burner under different geometric structures;

[0136] The first determination module is to obtain flame jitter information corresponding to the combustion state under different flame shapes, and determine the spatial distribution characteristics of the one-dimensional flame heat release rate and the spatial distribution characteristics of the two-dimensional flame heat release rate under different flame shapes according to the flame jitter information;

[0137] The second determination module: determines the folded spatial distribution characteristics of the spatial distribution characteristics of the one-dimensional flame heat release rate and the spatial distribution characteristics of the two-dimensional flame heat release rate;

[0138] The first screening module is used to screen out qualified target flame shapes based on the folded spatial distribution characteristics, and determine a first geometric structure of the burner that can maintain the target flame shape;

[0139] Extraction module: extracting target combustion condition parameters of the first geometric structure from the combustion condition parameters of the burner under different geometric structures;

[0140] The third determination module: determines the burner's fire detection intensity index value, smoke exhaust temperature index value and gas emission index value according to the target combustion condition parameters;

[0141] Evaluation module: evaluates the combustion stability and environmental performance of the burner under the first geometric structure according to the fire detection intensity index value, smoke exhaust temperature index value and gas emission index value of the burner;

[0142] Second screening module: Screen out a second geometric structure that meets the combustion requirements based on the evaluation results, and use the second geometric structure and the target flame shape as reference samples for evaluating combustion efficiency.

[0143] In this embodiment, the combustion state of the fuel under different flame shapes includes:

[0144] Laminated flame: In this flame, the fuel begins to mix with oxygen before entering the combustion chamber. Because the fuel and oxygen are evenly mixed together, this flame burns very completely and can produce highly efficient heat energy conversion.

[0145] Diffusion flame: The fuel is not mixed with oxygen beforehand, but gradually mixes with oxygen after entering the combustion chamber.

[0146] Incomplete combustion flame: In an incomplete combustion flame, the fuel is not fully mixed with oxygen, resulting in an incomplete combustion process. This usually occurs when there is insufficient oxygen concentration in the air or impurities in the fuel.

[0147] Pre-combustion flame: This is an abnormal combustion phenomenon that occurs when the fuel is not completely mixed with oxygen.

[0148] In this embodiment, the combustion operating parameters of the burner under different geometric structures include: combustion chamber pressure, combustion temperature, thermal efficiency, and emissions.

[0149] In this embodiment, the flame jitter information is used to monitor the combustion state in the combustion chamber. By analyzing the vertical jitter of the flame, it is determined whether there is abnormal combustion in the combustion chamber.

[0150] In this embodiment, the spatial distribution characteristics of the heat release rate of the one-dimensional flame refer to the characteristics of the heat release rate through a unit area per unit time.

[0151] In this embodiment, the spatial distribution characteristics of the heat release rate of the two-dimensional flame refer to the characteristics of the flame temperature and radiation intensity varying with time and space on the two-dimensional plane, such as: local hot spots, flame propagation direction, and flame shape.

[0152] In this embodiment, the folded spatial distribution feature refers to a feature shared and overlapped by the spatial distribution feature of the heat release rate of a one-dimensional flame and the spatial distribution feature of the heat release rate of a two-dimensional flame.

[0153] In this embodiment, the first geometric structure of the burner is, for example, the shape of the combustion chamber and the shape of the nozzle.

[0154] In this embodiment, the target combustion condition parameters are, for example: the combustion temperature is 100 degrees.

[0155] In this embodiment, the fire detection intensity index value is used to evaluate the explosion-proof performance of the burner, such as: lower explosion limit, flame propagation rate, and flame extension index.

[0156] In this embodiment, the exhaust gas temperature index value of the burner generally refers to the temperature of the flue gas generated after the combustion is completed.

[0157] In this embodiment, the main gas emission index values ​​of the burner include: smoke emission concentration, carbon monoxide emission concentration, and oxygen emission concentration.

[0158] The beneficial effect of the above technical solution is: based on the evaluation results of the combustion stability and combustion environmental protection of the burner under the first geometric structure, a second geometric structure that meets the combustion requirements is screened out, and the second geometric structure and the target flame shape are used as reference samples for evaluating the combustion efficiency. This can more accurately evaluate the combustion efficiency, ensure the maximization of fuel combustion and the optimization of environmental protection.

[0159] Embodiment 8:

[0160] The present invention provides a method for controlling desulfurization of a unit, such as Figure 2 As shown, including:

[0161] Step 1: Obtain a sensor according to the unit use environment and use conditions, and monitor multiple relevant parameters of flue gas in real time according to the sensor;

[0162] Step 2: Obtain combustion process parameters based on machine learning according to the multiple related parameters, and automatically adjust and optimize the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters;

[0163] Step 3: adjusting the operating parameters of the desulfurization system according to the combustion parameters, and obtaining an operating strategy of the desulfurization system according to the operating parameters;

[0164] Step 4: Evaluate the operation strategy, obtain evaluation results, and perform desulfurization control on the unit based on the controller according to the evaluation results.

[0165] The beneficial effects of the above technical solution are: by detecting multiple parameters of flue gas through sensors and obtaining combustion parameters, the operating parameters and operating strategies of the desulfurization system are adjusted according to the combustion parameters, which can ensure that the unit's desulfurization control system adapts to changing environmental conditions, improve system performance and desulfurization efficiency, and reduce sulfur dioxide emissions. At the same time, the system's operating parameters can be monitored in real time to avoid accidents and protect the environment.

[0166] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0167] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A unit desulfurization control system, characterized in that: include: Monitoring module: obtaining sensors according to the unit use environment and use conditions, and monitoring multiple relevant parameters of flue gas in real time according to the sensors; Adjustment and optimization module: obtaining combustion process parameters based on machine learning according to the multiple related parameters, and automatically adjusting and optimizing the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters; A first acquisition module: adjusting the operating parameters of the desulfurization system according to the combustion parameters, and acquiring the operating strategy of the desulfurization system according to the operating parameters; Evaluation module: evaluates the operation strategy, obtains the evaluation result, and performs desulfurization control on the unit based on the controller according to the evaluation result.

2. The unit desulfurization control system according to claim 1, characterized in that: Monitoring modules, including: The first determination unit: determines the environmental parameters of the unit according to the unit use environment, and determines the operation mode and operation purpose of the unit according to the unit use conditions; A first acquisition unit: acquiring corresponding sensors according to the environmental parameters, operation mode and operation purpose; Monitoring unit: monitors multiple relevant parameters of the flue gas in real time according to the sensor.

3. The unit desulfurization control system according to claim 1, characterized in that: Adjustment and optimization modules, including: Preprocessing unit: preprocessing the multiple related parameters to obtain preprocessing results; The second acquisition unit: acquires the combustion rate and thermal enthalpy change based on machine learning according to the preprocessing result; A third acquisition unit: acquiring combustion process parameters according to the combustion rate and thermal enthalpy change; A selection unit: determining the input and output variables of the fuzzy control algorithm according to the combustion process parameters, obtaining a fuzzy set according to the input variables, and selecting an optimal operation from the fuzzy set according to the output variables; Adjustment and optimization unit: according to the optimal operation setting fuzzy control rules, according to the fuzzy control rules, the fuzzy controller is operated based on the fuzzy control algorithm to automatically adjust and optimize the combustion parameters of the burner.

4. The unit desulfurization control system according to claim 1, characterized in that: The first acquisition module includes: A fourth acquisition unit: acquiring and controlling the concentration of sulfur dioxide at the inlet and the pH value of the slurry according to the combustion parameters; Adjustment unit: increasing the capacity of the oxidation fan and optimizing the structure of the absorption tower and the spray system according to the concentration of sulfur dioxide and the pH value of the slurry; The fifth acquisition unit is configured to acquire the adjusted operating parameters of the desulfurization system, acquire key factors affecting the operation of the desulfurization system according to the operating parameters, and acquire an operating strategy of the desulfurization system according to the key factors.

5. The unit desulfurization control system according to claim 1, characterized in that: Assessment modules include: Comparison unit: obtaining the desulfurization performance during the actual operation under the operation strategy, and comparing it with the preset desulfurization target to obtain a comparison result; Evaluation unit: evaluates the operation strategy according to the comparison result and obtains the evaluation result; Control unit: Analyze the evaluation results to obtain multiple factors affecting the desulfurization performance, adjust the operation strategy in real time according to the factors, and perform desulfurization control on the unit based on the controller according to the adjusted operation strategy.

6. The unit desulfurization control system according to claim 1, characterized in that: Also includes: The second acquisition module: obtains the combustion efficiency by changing the flame shape and the burner geometry; A third acquisition module: adjusting the fuel composition according to the combustion efficiency, and acquiring the ash content in the fuel according to the adjusted fuel composition; Adding module: increasing the circulation volume in the desulfurization tower according to the ash content in the fuel, and obtaining the circulation rate and heat exchange effect of the desulfurization tower; Combustion module: Combustion the fuel based on the pyrolysis combustion technology according to the circulation rate and heat exchange effect.

7. The unit desulfurization control system according to claim 6, characterized in that: Before the second acquisition module, the target geometry and target flame shape are acquired as reference samples for evaluating combustion efficiency, including: The fourth acquisition module: acquires the combustion state of the fuel under different flame shapes and the combustion operating parameters of the burner under different geometric structures; The first determination module is to obtain flame jitter information corresponding to the combustion state under different flame shapes, and determine the spatial distribution characteristics of the one-dimensional flame heat release rate and the spatial distribution characteristics of the two-dimensional flame heat release rate under different flame shapes according to the flame jitter information; The second determination module: determines the folded spatial distribution characteristics of the spatial distribution characteristics of the one-dimensional flame heat release rate and the spatial distribution characteristics of the two-dimensional flame heat release rate; The first screening module is used to screen out qualified target flame shapes based on the folded spatial distribution characteristics, and determine a first geometric structure of the burner that can maintain the target flame shape; Extraction module: extracting target combustion condition parameters of the first geometric structure from the combustion condition parameters of the burner under different geometric structures; The third determination module: determines the burner's fire detection intensity index value, smoke exhaust temperature index value and gas emission index value according to the target combustion condition parameters; Evaluation module: evaluates the combustion stability and environmental performance of the burner under the first geometric structure according to the fire detection intensity index value, smoke exhaust temperature index value and gas emission index value of the burner; Second screening module: Screen out a second geometric structure that meets the combustion requirements based on the evaluation results, and use the second geometric structure and the target flame shape as reference samples for evaluating combustion efficiency.

8. A unit desulfurization control method, characterized in that: include: Step 1: Obtain a sensor according to the unit use environment and use conditions, and monitor multiple relevant parameters of flue gas in real time according to the sensor; Step 2: Obtain combustion process parameters based on machine learning according to the multiple related parameters, and automatically adjust and optimize the combustion parameters of the burner based on the fuzzy control algorithm according to the combustion process parameters; Step 3: adjusting the operating parameters of the desulfurization system according to the combustion parameters, and obtaining an operating strategy of the desulfurization system according to the operating parameters; Step 4: Evaluate the operation strategy, obtain evaluation results, and perform desulfurization control on the unit based on the controller according to the evaluation results.

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