Denitration optimization regulation and control method based on biomass boiler flue gas characteristics

Abstract

The invention discloses a denitration optimization regulation and control method based on biomass boiler flue gas characteristics, and relates to the technical field of denitration. The method comprises the following steps: executing data acquisition of biomass boiler flue gas, and establishing a characteristic data set; establishing a balance temperature demand; performing area configuration of a desulfurization reaction area; the biomass boiler flue gas is conveyed to a desulfurization reaction area to be subjected to desulfurization treatment and flue gas filtration, and first treated flue gas is reserved; performing flue gas verification detection on the first treated flue gas, feeding back a flue gas verification detection result to the optimization regulation and control system, performing configuration optimization of the desulfurization reaction area, and adjusting the desulfurization reaction area according to a configuration optimization result; and conveying the first treated flue gas to the adjusted desulfurization reaction area, performing denitration treatment, and retaining the second treated flue gas. The technical problems that in the prior art, the denitration reaction process is unstable, and the denitration efficiency is low are solved, optimization regulation and control are conducted through real-time data collection, and the technical effect of improving the denitration treatment efficiency and stability is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of denitration, and in particular to a denitration optimization control method based on the flue gas characteristics of a biomass boiler. Background Art

[0002] In the operation of traditional coal-fired boilers and biomass boilers, denitrification technology has been widely used as an important means to reduce nitrogen oxide emissions. However, due to the difference in combustion characteristics between biomass boilers and traditional coal-fired boilers, the flue gas composition and temperature changes of biomass boilers are relatively complex, making it difficult for existing denitrification technology to operate stably and efficiently in biomass boilers. Traditional denitrification technology usually relies on fixed operating parameters and processes, and it is difficult to adjust in real time to adapt to changes in flue gas composition and temperature, which in turn affects the denitrification efficiency and reaction stability. Summary of the invention

[0003] The present application provides a denitrification optimization and control method based on the flue gas characteristics of a biomass boiler, which solves the technical problems of unstable denitrification reaction process and low denitrification efficiency in the prior art.

[0004] In view of the above problems, the present application provides a denitrification optimization and control method based on the flue gas characteristics of biomass boilers.

[0005] The present application provides a denitrification optimization control method based on the flue gas characteristics of a biomass boiler, the method comprising: A sensor group is configured at the flue gas inlet, and the sensor group is used to perform data collection on the biomass boiler flue gas to establish a characteristic data set, which includes component characteristic data and temperature characteristic data; digital communication is established between the optimization control system and the sensor group, and the characteristic data set is read based on the digital communication, and a balanced temperature requirement is established based on the characteristic data set and the temperature window of the denitrification reaction; the balanced temperature requirement and the characteristic data set are used as matching data to perform regional configuration of the desulfurization reaction area; the biomass boiler flue gas is transported to the configured desulfurization reaction area to perform desulfurization treatment and flue gas filtration, and the first treated flue gas is retained; a flue gas verification test is performed on the first treated flue gas, and the flue gas verification test result is fed back to the optimization control system, and the optimization control system is used to perform configuration optimization of the desulfurization reaction area, and the desulfurization reaction area is adjusted according to the configuration optimization result; the first treated flue gas is transported to the adjusted desulfurization reaction area, and the denitrification treatment is performed, and the second treated flue gas is retained.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, a sensor group is configured at the flue gas inlet, and the sensor group is used to perform data collection of the biomass boiler flue gas, and a characteristic data set is established, which includes component characteristic data and temperature characteristic data. Next, digital communication between the optimization control system and the sensor group is established, and the characteristic data set is read based on the digital communication, and the equilibrium temperature requirement is established based on the characteristic data set and the temperature window of the denitrification reaction. Further, the equilibrium temperature requirement and the characteristic data set are used as matching data to perform the regional configuration of the desulfurization reaction area. Next, the biomass boiler flue gas is transported to the configured desulfurization reaction area to perform desulfurization treatment and flue gas filtration, and the first treated flue gas is retained. Then, the first treated flue gas is subjected to flue gas verification detection, and the flue gas verification detection result is fed back to the optimization control system, and the configuration optimization of the desulfurization reaction area is performed by the optimization control system, and the desulfurization reaction area is adjusted according to the configuration optimization result. Finally, the first treated flue gas is transported to the adjusted desulfurization reaction area, and the denitrification treatment is performed, and the second treated flue gas is retained. The technical problems of unstable denitrification reaction process and low denitrification efficiency in the prior art are solved, and the optimization control is performed through real-time data acquisition, so as to achieve the technical effect of improving the efficiency and stability of denitrification treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic diagram of a denitration optimization control method based on the flue gas characteristics of a biomass boiler provided in an embodiment of the present application; Figure 2 A schematic flow chart of the regional configuration of the desulfurization reaction area in the denitrification optimization control method based on the biomass boiler flue gas characteristics provided in an embodiment of the present application. DETAILED DESCRIPTION

[0009] The present application solves the technical problems of unstable denitrification reaction process and low denitrification efficiency in the prior art by providing a denitrification optimization and control method based on the flue gas characteristics of a biomass boiler.

[0010] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0011] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0012] Examples, such as Figure 1 As shown, the embodiment of the present application provides a denitrification optimization control method based on the flue gas characteristics of a biomass boiler, wherein the method includes: A sensor group is arranged at the flue gas inlet, and the sensor group is used to collect data of the biomass boiler flue gas to establish a characteristic data set, which includes component characteristic data and temperature characteristic data.

[0013] A group of high-precision sensors are installed at the flue gas inlet of the biomass boiler. These sensors are responsible for collecting various flue gas data in real time, including composition characteristic data (such as oxygen content, nitrogen oxide concentration, sulfur dioxide concentration, etc.) and temperature characteristic data (i.e. the real-time temperature of the flue gas). These data constitute the characteristic data set.

[0014] Furthermore, before using the sensor group to collect data of biomass boiler flue gas, the method includes: Acquire reaction pre-information, the reaction pre-information including reaction fuel type and combustion mode; monitor the combustion state in real time and establish a real-time data set; analyze the reaction intensity and reaction stability according to the reaction pre-information and the real-time data set, and configure acquisition parameters based on the analysis results of the reaction intensity and reaction stability; and control the sensor group to perform data acquisition of biomass boiler flue gas based on the acquisition parameters.

[0015] Before using the sensor group to perform data collection of biomass boiler flue gas, it is necessary to first obtain reaction pre-information, which includes the type of reaction fuel (such as biomass fuel types such as wood chips and crop residues) and combustion method (such as fixed bed combustion, fluidized bed combustion, etc.); by real-time monitoring of the combustion state of the biomass boiler, a real-time data set is established. The real-time data set includes various dynamic parameters in the combustion process, such as furnace temperature, flue gas flow, pressure, etc.; based on the obtained reaction pre-information and real-time data set, the reaction intensity (such as reaction rate, heat release rate) and reaction stability (such as combustion fluctuation, temperature fluctuation, etc.) are analyzed. The reaction intensity mainly reflects the intensity of the chemical reaction in the combustion process, while the reaction stability reflects the stability of the combustion process; according to the analysis results of the reaction intensity and reaction stability, appropriate acquisition parameters are configured. These acquisition parameters may include sensor sampling frequency, sensitivity, data acquisition range, etc., to ensure that the collected flue gas data is of high quality, representativeness and accuracy; based on the configured acquisition parameters, the sensor group is controlled to perform the data collection of biomass boiler flue gas according to the preset standards to ensure the accuracy and reliability of the data and provide support for the subsequent optimization and control process.

[0016] Digital communication between the optimization control system and the sensor group is established, the characteristic data set is read based on the digital communication, and a balanced temperature requirement is established based on the characteristic data set and a temperature window of a denitration reaction.

[0017] By establishing a digital communication connection between the optimization and control system and the sensor group, it is ensured that the optimization and control system can obtain the flue gas characteristic data set collected by the sensor group in real time. Among them, digital communication ensures the accurate transmission and real-time nature of the data, so that the optimization and control system can quickly respond to flue gas changes.

[0018] Based on the obtained characteristic data set (including the component characteristic data and temperature characteristic data of the flue gas), combined with the temperature window of the denitrification reaction (i.e., the optimal temperature range required for the denitrification reaction), analysis is performed and a balanced temperature requirement is established. The balanced temperature requirement refers to ensuring that the denitrification reaction can proceed smoothly within the optimal temperature range under given flue gas composition and temperature conditions, thereby improving the denitrification efficiency. Specifically, the actual flue gas conditions are analyzed using the collected flue gas component characteristic data (such as nitrogen oxide concentration, oxygen concentration, sulfur dioxide concentration, etc.) and temperature characteristic data (such as flue gas temperature, temperature gradient, etc.), and the efficiency of the denitrification reaction at different temperatures is determined; based on the temperature window of the denitrification reaction, that is, within which temperature range the reaction can achieve the optimal denitrification effect (the temperature range with the highest activity of the denitrification catalyst), the temperature requirement is calculated to determine the balanced temperature requirement, that is, the flue gas temperature value that needs to be maintained in order for the denitrification reaction to proceed within the optimal temperature range.

[0019] Furthermore, the method further comprises: The reaction temperature range is calculated according to the reaction kinetics principle of the desulfurization reaction to establish an initial temperature window; a sample verification of the desulfurization reaction is performed under a preset experimental environment, and a window compensation is constructed according to the sample verification result; the initial temperature window is corrected by the window compensation to establish the temperature window.

[0020] Preferably, the reaction temperature range is calculated according to the reaction kinetics principle of the desulfurization reaction, and the temperature range that can achieve the best desulfurization effect under different reaction conditions is calculated by analyzing the thermodynamic and kinetic characteristics of the desulfurization reaction, thereby establishing an initial temperature window; under a preset experimental environment, a sample verification of the desulfurization reaction is carried out, and the actual performance of the reaction at different temperatures is verified by experiments; based on the verification results, the initial temperature window is analyzed to find out the errors and deviations within the temperature range, and then window compensation is constructed. Window compensation is a correction to the initial temperature window to adapt to changes in the actual reaction process; through window compensation, the initial temperature window is corrected to ensure that the temperature range can more accurately meet the actual needs of the desulfurization reaction, and finally an optimized temperature window is established. The temperature window can provide more accurate temperature control in the actual desulfurization treatment process to ensure the high efficiency and stability of the desulfurization reaction.

[0021] The equilibrium temperature requirement and the characteristic data set are used as matching data to perform regional configuration of the desulfurization reaction area.

[0022] The equilibrium temperature demand is compared and analyzed with the flue gas component characteristic data (such as the concentration of nitrogen oxides, sulfur dioxide, etc.) and temperature characteristic data to determine the optimal treatment conditions for the desulfurization reaction; based on the matching data, the configuration target of the desulfurization reaction area is set to ensure that the area operates within the optimal range of temperature and gas composition, thereby improving the desulfurization reaction efficiency; the optimization and control system then makes specific configurations for the desulfurization reaction area, adjusting key parameters such as temperature control, flue gas flow rate and catalyst distribution in the reaction area to achieve the maximum desulfurization effect; at the same time, the optimization and control system will continuously monitor the operation of the area, and dynamically adjust the area configuration based on real-time data feedback to ensure that the reaction area is always in the best state, thereby improving the flue gas purification effect and reducing energy consumption.

[0023] Furthermore, if Figure 2 As shown, the equilibrium temperature requirement and the characteristic data set are used as matching data to perform regional configuration of the desulfurization reaction area, including: Obtain the processing control accuracy of the denitrification treatment, establish the processing control accuracy requirement, and establish a balanced fitness function according to the processing control accuracy requirement and the cost requirement; perform cooling combination optimization in the desulfurization reaction area based on the balanced fitness function, and establish a cooling combination optimization result, wherein the combination schemes in the cooling combination optimization result include a direct cooling scheme and an indirect cooling scheme; complete the regional cooling configuration of the desulfurization reaction area based on the cooling combination optimization result.

[0024] Specifically, the processing control accuracy of the denitrification treatment is obtained, and according to the accuracy requirement, the corresponding processing control accuracy requirement is established. The processing control accuracy requirement is used to ensure that the temperature control accuracy in the denitrification process reaches the optimal level, thereby improving the denitrification efficiency; based on the processing control accuracy requirement and cost requirement (such as energy consumption and equipment operating cost, etc.), a balanced fitness function F=w is established 1 f 1 -w 2 f 2 , where f 1 is the coefficient of precision, f 2 is the total cost, w 1 and w 2 is a weight coefficient used to adjust the relative importance between accuracy and cost. The equilibrium fitness function will comprehensively consider the balance between control accuracy and cost to optimize the energy efficiency and economy in the denitrification reaction process. Based on the established equilibrium fitness function, the optimization control system conducts optimal cooling combination optimization in the desulfurization reaction area. At this stage, the optimization control system will explore and generate multiple cooling schemes, including direct cooling schemes (such as direct spray cooling, cooling air, etc.) and indirect cooling schemes (such as cooling by indirect methods such as heat exchangers). The pros and cons of each scheme will be evaluated according to the equilibrium fitness function to find the cooling combination that best suits the current reaction area. Based on the cooling combination optimization results, the optimization control system will complete the regional cooling configuration of the desulfurization reaction area, including the implementation of the selected cooling scheme, such as adjusting parameters such as the flow rate and temperature of the cooling equipment and cooling medium to ensure that the desulfurization reaction area operates under optimal temperature conditions, thereby achieving the highest desulfurization efficiency and maintaining low energy consumption and operating costs.

[0025] Furthermore, the regional cooling configuration of the desulfurization reaction area is completed based on the cooling combination optimization result, including: The characteristic data set is parsed and input into the response configuration channel; component desulfurization configuration is performed based on the component matching sub-channel of the response configuration channel to establish a first configuration result; particle filtration configuration is performed based on the particle filtration sub-channel of the response configuration channel to establish a second configuration result; regional reaction configuration of the desulfurization reaction area is completed according to the first configuration result and the second configuration result; and regional configuration is completed according to the regional cooling configuration and the regional reaction configuration.

[0026] Specifically, the obtained characteristic data set (including flue gas composition data and temperature data) is analyzed to extract various key characteristics (such as sulfur dioxide concentration, oxygen content, etc.) and particle information (such as particulate matter concentration, particle size distribution, etc.), and the analyzed data is input into the response configuration channel to provide basic data for the subsequent configuration process; based on the component matching sub-channel in the response configuration channel, the control system is optimized to perform component desulfurization configuration, the desulfurization dosage and reaction conditions are determined according to the distribution of flue gas components, and the first configuration result, i.e., the preliminary optimization plan for the component desulfurization configuration, is established; based on the particle filtration sub-channel, the control system is optimized to perform particle filtration configuration to remove solid particles in the flue gas, and the control system is optimized to adjust the working parameters of the filtration equipment according to the concentration and particle size distribution of particulate matter in the flue gas. , establish the second configuration result, that is, the optimization plan for particle filtration; according to the first configuration result (component desulfurization configuration) and the second configuration result (particle filtration configuration), the optimization control system will integrate these two parts of the configuration to complete the regional reaction configuration of the desulfurization reaction area, where the configuration includes comprehensive adjustment of parameters such as temperature control, reaction dosage, flue gas flow, and filtration settings in the desulfurization reaction area to ensure the high efficiency and stability of flue gas treatment; combined with the regional cooling configuration (ensuring that the temperature of the reaction zone is within an appropriate range) and the regional reaction configuration (ensuring the optimal configuration of the desulfurization and particle filtration processes), the optimization control system completes the overall regional configuration to ensure the optimization of factors such as temperature, reaction dosage, flue gas flow and particle filtration, so as to achieve the best denitrification effect and flue gas purification effect, while reducing energy consumption and operating costs.

[0027] The biomass boiler flue gas is transported to the configured desulfurization reaction area to perform desulfurization treatment and flue gas filtration, and the first treated flue gas is retained.

[0028] The flue gas from the biomass boiler is transported to the configured desulfurization reaction area, where desulfurization treatment and flue gas filtration are performed to ensure that harmful components (such as sulfur dioxide, etc.) in the flue gas are effectively removed, and solid particles in the flue gas are removed by filtration. After the desulfurization reaction and flue gas filtration treatment, the first treated flue gas, that is, the flue gas that has been preliminarily purified, is retained to provide a clean flue gas foundation for subsequent denitrification treatment.

[0029] A flue gas verification test is performed on the first treated flue gas, and the flue gas verification test result is fed back to the optimization control system, and the optimization control system is used to optimize the configuration of the desulfurization reaction area, and the desulfurization reaction area is adjusted according to the configuration optimization result.

[0030] The first treated flue gas is subjected to flue gas verification testing, and the verification process includes dual testing of temperature and composition. Specifically, first, the flue gas temperature is monitored to see if it is within the predetermined reaction temperature range to ensure that the desulfurization reaction process is carried out under optimal temperature conditions; secondly, the composition of the flue gas is tested, mainly including the concentration of sulfur dioxide, nitrogen oxides (NOx), particulate matter and other pollutants, to evaluate the desulfurization effect and flue gas purification level.

[0031] The flue gas verification test results (including temperature and composition data) are fed back to the optimization and control system. The system evaluates the actual operation of the desulfurization reaction area based on the test results. Based on the temperature and composition verification data, the optimization and control system will optimize the configuration of the desulfurization reaction area and optimize the desulfurization reaction conditions by adjusting parameters such as temperature control, flue gas flow, and desulfurizer ratio. According to the configuration optimization results, the optimization and control system will adjust the desulfurization reaction area, optimize the temperature distribution, flue gas flow, and catalyst use in the reaction area, so as to ensure that the reaction process is carried out under the best conditions, thereby improving the desulfurization efficiency and further reducing pollutant emissions, ensuring that flue gas emissions meet environmental protection standards.

[0032] Furthermore, performing a flue gas verification test on the first treated flue gas includes: Perform a flue gas composition verification test on the first treated flue gas to establish a first verification test result; perform a flue gas temperature verification test on the first treated flue gas to establish a second verification test result; and feed the first verification test result and the second verification test result as flue gas verification test results back to the optimization control system.

[0033] Preferably, a flue gas composition verification test is performed on the first treated flue gas, and the test content mainly includes the concentrations of pollutants such as sulfur dioxide, nitrogen oxides (NOx), particulate matter, etc. in the flue gas. Through this test, the purification effect of the desulfurization treatment on the flue gas components is evaluated, and a first verification test result, i.e., the actual data of the composition verification and the desulfurization effect, is established; a flue gas temperature verification test is performed on the first treated flue gas to ensure that the flue gas temperature meets the predetermined reaction temperature range to ensure the effective desulfurization reaction. Through temperature verification, it is ensured that the desulfurization process operates under the most suitable temperature conditions, and a second verification test result, i.e., the actual data of the temperature verification, is established; the first verification test result (flue gas composition data) and the second verification test result (flue gas temperature data) are used as flue gas verification test results and fed back to the optimization control system. The optimization control system will analyze the actual performance of the desulfurization reaction based on these two verification results, and adjust the configuration of the desulfurization reaction area based on the data to further optimize the desulfurization effect and improve the operating efficiency of the system.

[0034] Furthermore, the method further comprises: Performing threshold trigger analysis on the first verification test result and the second verification test result respectively to establish a threshold trigger analysis result; An optimization feedback is constructed according to the threshold trigger analysis result, and the optimization feedback is synchronized to the optimization control system for optimizing the regional configuration of the desulfurization reaction area.

[0035] Preferably, threshold trigger analysis is performed on the first verification test result (flue gas composition data) and the second verification test result (flue gas temperature data) respectively, and by setting a predetermined threshold range, it is determined whether the flue gas composition and temperature exceed the set safety or optimization range; if the test result exceeds the threshold, the corresponding analysis measures are triggered, and the threshold trigger analysis results are generated, indicating the area or parameters that need to be adjusted; according to the threshold trigger analysis results, optimization feedback is constructed, and the optimization feedback will optimize the configuration of the reaction area based on the test results and the needs of the threshold analysis, and adjust relevant parameters such as temperature control, desulfurizer dosage, flue gas flow, etc., to ensure that the desulfurization reaction can operate under optimal conditions; the constructed optimization feedback is synchronized to the optimization control system for real-time adjustment and optimization of the configuration of the desulfurization reaction area. Through this feedback mechanism, the optimization control system can dynamically adjust the configuration of the reaction area according to the real-time detection results and optimization needs, thereby improving the desulfurization efficiency, ensuring stability, and further reducing energy consumption and operating costs.

[0036] The first treated flue gas is transported to the adjusted desulfurization reaction area to perform denitrification treatment, and the second treated flue gas is retained.

[0037] The first treated flue gas is transported to the adjusted desulfurization reaction area for denitration. In the denitration reaction area, nitrogen oxides (NOx) in the flue gas will be effectively converted into harmless nitrogen and water vapor through appropriate reaction processes, such as selective catalytic reduction (SCR) or selective non-catalytic reduction (SNCR). Through this process, the NOx concentration in the flue gas will be greatly reduced. After the denitration treatment is completed, the second treated flue gas, that is, the flue gas after the denitration treatment, is retained. These flue gases will contain significantly reduced nitrogen oxides and are ready for further treatment or discharge in accordance with environmental protection standards.

[0038] Furthermore, the method further comprises: Performing a flue gas emission detection on the second treated flue gas and establishing a flue gas emission detection result; performing early warning identification according to the flue gas emission detection result, and performing emission management based on the early warning identification result.

[0039] The second treated flue gas is tested for flue gas emissions. The test contents mainly include the concentration of pollutants in the flue gas (such as nitrogen oxides, sulfur dioxide, particulate matter, etc.) and other environmental indicators (such as temperature, humidity, etc.); through these tests, it is evaluated whether the flue gas after denitrification meets the emission standards. The test results will be recorded and the flue gas emission test results will be generated to evaluate the quality and compliance of the flue gas after denitrification. According to the results of the flue gas emission test, the system will perform early warning identification. If the test results show that the emission index exceeds the predetermined threshold or there is an abnormal fluctuation, the system will automatically identify and issue an early warning signal; based on the early warning identification results, emission management will be carried out, including adjusting the operating parameters of the denitrification system (such as temperature, reaction dose, flue gas flow, etc.) or activating a backup system to handle the excessive flue gas.

[0040] In summary, the embodiments of the present application have at least the following technical effects: First, a sensor group is configured at the flue gas inlet, and the sensor group is used to perform data collection of the biomass boiler flue gas, and a characteristic data set is established, which includes component characteristic data and temperature characteristic data. Next, digital communication between the optimization control system and the sensor group is established, and the characteristic data set is read based on the digital communication, and the equilibrium temperature requirement is established based on the characteristic data set and the temperature window of the denitrification reaction. Further, the equilibrium temperature requirement and the characteristic data set are used as matching data to perform the regional configuration of the desulfurization reaction area. Next, the biomass boiler flue gas is transported to the configured desulfurization reaction area to perform desulfurization treatment and flue gas filtration, and the first treated flue gas is retained. Then, the first treated flue gas is subjected to flue gas verification detection, and the flue gas verification detection result is fed back to the optimization control system, and the configuration optimization of the desulfurization reaction area is performed by the optimization control system, and the desulfurization reaction area is adjusted according to the configuration optimization result. Finally, the first treated flue gas is transported to the adjusted desulfurization reaction area, and the denitrification treatment is performed, and the second treated flue gas is retained. The technical problems of unstable denitrification reaction process and low denitrification efficiency in the prior art are solved, and the optimization control is performed through real-time data acquisition, so as to achieve the technical effect of improving the efficiency and stability of denitrification treatment.

[0041] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0042] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0043] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A denitrification optimization control method based on the flue gas characteristics of biomass boilers, characterized in that: The method comprises: A sensor group is arranged at the flue gas inlet, and data collection of the biomass boiler flue gas is performed using the sensor group to establish a characteristic data set, wherein the characteristic data set includes component characteristic data and temperature characteristic data; Establishing digital communication between the optimization control system and the sensor group, reading the characteristic data set based on the digital communication, and establishing a balanced temperature requirement based on the characteristic data set and a temperature window of a denitration reaction; Using the equilibrium temperature requirement and the characteristic data set as matching data, performing regional configuration of a desulfurization reaction area; The biomass boiler flue gas is transported to the configured desulfurization reaction area to perform desulfurization treatment and flue gas filtration, and the first treated flue gas is retained; Performing flue gas verification testing on the first treated flue gas, and feeding back the flue gas verification testing results to the optimization control system, using the optimization control system to optimize the configuration of the desulfurization reaction area, and adjusting the desulfurization reaction area according to the configuration optimization results; The first treated flue gas is transported to the adjusted desulfurization reaction area to perform denitrification treatment, and the second treated flue gas is retained.

2. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 1, characterized in that: The step of using the equilibrium temperature requirement and the characteristic data set as matching data to perform regional configuration of the desulfurization reaction area includes: Obtain the treatment control accuracy of denitrification treatment, establish treatment control accuracy requirements, and establish a balanced fitness function based on the treatment control accuracy requirements and cost requirements; Based on the equilibrium fitness function, a cooling combination optimization is performed in the desulfurization reaction area, and a cooling combination optimization result is established, wherein the combination scheme in the cooling combination optimization result includes a direct cooling scheme and an indirect cooling scheme; The regional cooling configuration of the desulfurization reaction area is completed based on the cooling combination optimization result.

3. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 2, characterized in that: The method of completing the regional cooling configuration of the desulfurization reaction area based on the cooling combination optimization result includes: Parsing the characteristic data set and inputting it into the response configuration channel; Perform component desulfurization configuration based on the component matching subchannel of the response configuration channel to establish a first configuration result; Perform particle filtering configuration based on the particle filtering subchannel of the response configuration channel to establish a second configuration result; Complete the regional reaction configuration of the desulfurization reaction area according to the first configuration result and the second configuration result; The regional configuration is completed according to the regional cooling configuration and the regional reaction configuration.

4. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 1, characterized in that: The method further comprises: The reaction temperature range is calculated based on the reaction kinetics principle of the desulfurization reaction to establish the initial temperature window; Conduct sample verification of desulfurization reaction under a preset experimental environment, and build window compensation based on the sample verification results; The initial temperature window is corrected by the window compensation to establish the temperature window.

5. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 1, characterized in that: Before using the sensor group to collect data on biomass boiler flue gas, the method includes: Acquiring reaction pre-information, wherein the reaction pre-information includes reaction fuel type and combustion mode; Monitor the combustion status in real time and establish a real-time data set; Performing reaction intensity and reaction stability analysis according to the reaction pre-information and the real-time data set, and configuring acquisition parameters based on the reaction intensity and reaction stability analysis results; The sensor group is controlled based on the collection parameters to perform data collection of biomass boiler flue gas.

6. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 1, characterized in that: The performing flue gas verification detection on the first processed flue gas comprises: Performing a smoke component verification test on the first treated smoke to establish a first verification test result; Performing a flue gas temperature verification test on the first treated flue gas to establish a second verification test result; The first verification test result and the second verification test result are fed back to the optimization control system as flue gas verification test results.

7. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 6, characterized in that: The method further comprises: Performing threshold trigger analysis on the first verification test result and the second verification test result respectively to establish a threshold trigger analysis result; An optimization feedback is constructed according to the threshold trigger analysis result, and the optimization feedback is synchronized to the optimization control system for optimizing the regional configuration of the desulfurization reaction area.

8. The denitrification optimization control method based on the flue gas characteristics of biomass boilers according to claim 1, characterized in that: The method further comprises: performing a flue gas emission test on the second treated flue gas to establish a flue gas emission test result; Early warning identification is performed according to the flue gas emission detection result, and emission management is performed based on the early warning identification result.

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