Thermoelectric denitration precise ammonia injection partition measurement ammonia injection frequency modulation coordinated control system

Abstract

This invention relates to the field of thermoelectric denitrification and discloses a precise ammonia injection zone measurement and frequency modulation coordinated control system for thermoelectric denitrification. The system includes an ammonia injection rate optimization module for establishing a model and predicting the denitrification effect under different ammonia injection rates, studying the relationship between ammonia injection rate and denitrification efficiency, and verifying the optimal ammonia injection rate using actual operating data. It also includes an ammonia injection method optimization module for comparing and analyzing the impact of different ammonia injection methods on denitrification efficiency, and studying the ammonia distribution characteristics under different injection methods to optimize the injection method. Through the coordinated operation of these modules, the frequency of ammonia injection is controlled according to the concentration at the denitrification inlet and outlet during denitrification. Furthermore, by improving SNCR technology, NOx concentration is pre-removed while simultaneously treating ammonia nitrogen wastewater, achieving the harmless and resource-based utilization of ammonia nitrogen wastewater. This is further enhanced by in-situ multi-point synchronous direct measurement technology.

Description

Technical Field

[0001] This invention relates to the field of thermoelectric denitrification technology, specifically a thermoelectric denitrification precision ammonia injection zone measurement and ammonia injection frequency modulation collaborative control system. Background Technology

[0002] Thermoelectric denitrification is a technology used to control and reduce nitrogen oxide (NOx) emissions. It is widely used in thermal power plants and industrial boilers. Thermoelectric denitrification uses ammonia (NH3) as a reducing agent. Under the action of a catalyst, nitrogen oxides are reduced to nitrogen (N2) and water (H2O), thereby effectively reducing air pollution and complying with environmental regulations.

[0003] With increasingly stringent national environmental protection laws, regulations, and emission standards, traditional single denitrification technologies can no longer meet the national requirements for denitrification emissions from thermal power plants. Excessive ammonia injection can lead to problems such as excessive consumption of urea or liquid ammonia, partial blockage of catalysts, ash buildup in air preheaters, and increased plant power consumption. Insufficient ammonia injection, on the other hand, can result in non-compliance with environmental indicators due to excessive nitrogen oxide emissions. Therefore, a precise ammonia injection zone measurement and frequency modulation coordinated control system for thermal power denitrification is proposed to solve the above problems. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a precise ammonia injection zone measurement and frequency modulation coordinated control system for thermal power denitrification. This system solves the problems that traditional single denitrification technologies can no longer meet national requirements for denitrification emissions from thermal power plants, and that excessive ammonia injection can lead to excessive consumption of urea or liquid ammonia, partial blockage of catalysts, ash blockage in air preheaters, and increased plant power consumption. On the other hand, insufficient ammonia injection can lead to non-compliance with environmental protection standards due to excessive nitrogen oxide emissions.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a coordinated control system for precise ammonia injection zone measurement and frequency modulation in thermoelectric denitrification, comprising:

[0006] Ammonia injection rate optimization module: used to build a model and use the model to predict the denitrification effect under different ammonia injection rates, study the relationship between ammonia injection rate and denitrification efficiency, and verify it through actual operation data to determine the optimal ammonia injection rate;

[0007] Ammonia injection mode optimization module: used to compare and analyze the impact of different ammonia injection modes on denitrification efficiency, and to study the ammonia distribution characteristics under different ammonia injection modes through experiments, so as to optimize the ammonia injection mode;

[0008] Measurement location optimization module: Used for zoned monitoring in conjunction with ammonia injection devices, to determine the location and depth of multiple sampling probes and calculate the average NOx concentration of the cross section;

[0009] Denitrification inlet and outlet measurement module: used to monitor the parameters of the denitrification inlet and outlet in real time, and transmit the parameters to the ammonia injection quantity optimization module;

[0010] Auxiliary module: Used to generate eddies to accelerate the mixing of raw flue gas and ammonia.

[0011] Preferably, the ammonia injection rate optimization module includes a modeling unit, a prediction unit, and an optimization unit. The modeling unit is used to establish corresponding models, including a kinetic model of the denitrification reaction, a dynamic prediction model of NOx emissions from coal-fired power plants, and an adaptive algorithm model. The prediction unit is used to predict the denitrification effect under different ammonia injection rates based on the corresponding models and to study the relationship between ammonia injection rate and denitrification efficiency. The optimization unit is used to verify the results using actual operating data and to adjust the ammonia injection frequency based on real-time concentration data to determine the optimal ammonia injection rate.

[0012] Preferably, the optimization unit includes a self-learning optimization subunit, a data fusion subunit, a human-machine interaction subunit, and an early warning subunit. The self-learning optimization subunit is used to adaptively adjust the ammonia injection quantity and frequency based on historical data. The data fusion subunit is used to fuse data from the measurement and ammonia injection control modules to generate comprehensive decision information. The human-machine interaction subunit is used to provide an interactive interface between the operator and the system to monitor and adjust system parameters. The early warning subunit is used to monitor the system operating status in real time, determine whether it exceeds the set range, and trigger an alarm when an anomaly is detected.

[0013] Preferably, the ammonia injection mode optimization module includes a measurement unit and a test unit. The measurement unit is used to measure and analyze the impact of different ammonia injection modes on denitrification efficiency. The ammonia injection modes include atomized ammonia injection, aerosol ammonia injection, and grid ammonia injection. The test unit is used to adjust the ammonia injection mode according to the ammonia distribution characteristics under different ammonia injection modes.

[0014] Preferably, the measurement location optimization module includes a partitioning unit, a monitoring unit, and an ammonia injection device. The partitioning unit is used to arrange the position and depth of the multi-point sampling probes based on the uniform arrangement of the ammonia injection guns above the denitrification reactor, the distribution of multi-point sampling at the outlet of the denitrification reactor, and the distribution of the flue gas concentration field under 30%-100% load. The monitoring unit is used to monitor the ammonia quantity in each partition in real time and calculate the average NOx concentration of that section to achieve the goal of accurate measurement. The ammonia injection device includes an ammonia injection grid, and an electric regulating valve is provided on one side of the ammonia injection grid.

[0015] Preferably, the denitrification inlet and outlet measurement module includes an inlet measurement unit and an outlet measurement unit. The inlet measurement unit is used to set three in-situ direct measurement devices on each of the denitrification inlet A / B sides. By adding calibration and purging pipelines and programs, multi-point in-situ synchronous direct measurement is formed. With the cooperation of the flue gas mixer, the number of inlet meters is reduced, and NOx at the inlet is measured quickly. The outlet measurement unit is used to set four in-situ direct measurement devices on each of the denitrification outlet A / B sides to construct the O2 and NOx concentration fields at the denitrification inlet and outlet in real time and quickly. The in-situ direct measurement device is a dual-cell thick-film zirconium oxide nitrogen oxide sensor.

[0016] This invention provides a coordinated control system for precise ammonia injection zone measurement and frequency modulation in thermoelectric denitrification. It offers the following advantages:

[0017] 1. This invention, through the coordinated operation of various modules, controls the frequency of ammonia injection based on the concentration at the inlet and outlet of the denitrification process. Furthermore, by improving SNCR technology, it pre-removes NOx while simultaneously treating ammonia nitrogen wastewater, achieving the harmless and resource-based utilization of ammonia nitrogen wastewater. Moreover, through in-situ multi-point synchronous direct measurement technology, it enables the rapid synchronous construction of the denitrification concentration field, significantly reducing the delay in denitrification control and providing technical support for denitrification zone leveling under flexible operating conditions.

[0018] 2. This invention is based on ammonia injection precision control technology using operating condition prediction and machine self-learning. Through a total quantity prediction + machine self-learning ammonia injection main valve and branch valve collaborative control algorithm, it achieves automatic balancing of the NOx concentration field at the denitrification outlet. Furthermore, through a semi-automatic rapid control strategy of "one-click balancing", this strategy, after combining operating condition judgment, achieves rapid balancing of the NOx concentration field, and the adjustment process is visible and controllable. Attached Figure Description

[0019] Figure 1 This is a system architecture diagram of the thermoelectric denitrification precision ammonia injection zone measurement and ammonia injection frequency modulation collaborative control system proposed in this invention;

[0020] Figure 2 This is a diagram of the ammonia injection quantity optimization module of the thermoelectric denitrification precision ammonia injection zone measurement and ammonia injection frequency modulation collaborative control system proposed in this invention.

[0021] Figure 3 This is an optimized unit architecture diagram of the thermoelectric denitrification precision ammonia injection zone measurement and ammonia injection frequency modulation collaborative control system proposed in this invention;

[0022] Figure 4 This is a schematic diagram of the optimized ammonia injection mode module of the precise ammonia injection zone measurement and frequency modulation collaborative control system for thermoelectric denitrification proposed in this invention.

[0023] Figure 5This is a diagram of the measurement position optimization module architecture of the thermoelectric denitrification precision ammonia injection zone measurement and ammonia injection frequency modulation collaborative control system proposed in this invention.

[0024] Figure 6 This is a diagram of the inlet and outlet measurement module architecture of the thermoelectric denitrification precision ammonia injection zone measurement and ammonia injection frequency modulation collaborative control system proposed in this invention. Detailed Implementation

[0025] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example:

[0027] Please see the appendix Figure 1 This invention provides a precise ammonia injection zone measurement and frequency modulation coordinated control system for thermoelectric denitrification, comprising:

[0028] Ammonia injection rate optimization module: used to build a model and use the model to predict the denitrification effect under different ammonia injection rates, study the relationship between ammonia injection rate and denitrification efficiency, and verify it through actual operation data to determine the optimal ammonia injection rate;

[0029] Ammonia injection mode optimization module: used to compare and analyze the impact of different ammonia injection modes on denitrification efficiency, and to study the ammonia distribution characteristics under different ammonia injection modes through experiments, so as to optimize the ammonia injection mode;

[0030] Measurement location optimization module: Used for zoned monitoring in conjunction with ammonia injection devices, to determine the location and depth of multiple sampling probes and calculate the average NOx concentration of the cross section;

[0031] Denitrification inlet and outlet measurement module: used to monitor the parameters of the denitrification inlet and outlet in real time and transmit the parameters to the ammonia injection quantity optimization module;

[0032] Auxiliary module: Used to generate eddies to accelerate the mixing of raw flue gas and ammonia.

[0033] Specifically, by establishing a model, a foundation is provided for subsequent prediction and optimization. The model is used to predict the denitrification effect under different ammonia injection rates, and the relationship between ammonia injection rate and denitrification efficiency is studied to provide a reference for practical applications. The optimal ammonia injection rate is determined through verification using actual operational data to achieve efficient denitrification. By comparing and analyzing the impact of different ammonia injection methods on denitrification efficiency, a basis is provided for selecting the optimal ammonia injection method. Experiments are conducted to study the ammonia distribution characteristics under different ammonia injection methods to optimize the injection method and improve denitrification efficiency. By using zoned monitoring in conjunction with the ammonia injection device, the location and depth of multiple sampling probes are strategically placed to ensure sample representativeness. The cross-sectional area is then calculated. The system accurately measures the average NOx concentration; it provides precise data support for optimizing ammonia injection control by real-time monitoring of parameters at the denitrification inlet and outlet; it accelerates the mixing of flue gas and ammonia by generating eddies, thereby improving reaction efficiency; and it controls the frequency of ammonia injection based on the concentration at the denitrification inlet and outlet during denitrification, thus solving the problems that traditional single denitrification technology can no longer meet national requirements for denitrification emissions from thermal power plants, that excessive ammonia injection leads to excessive consumption of urea or liquid ammonia, partial blockage of catalysts, ash blockage in air preheaters, and increased plant power consumption, while insufficient ammonia injection results in non-compliance with environmental indicators due to excessive nitrogen oxides.

[0034] Please see the appendix Figure 2 Appendix Figure 3 The ammonia injection rate optimization module includes a modeling unit, a prediction unit, and an optimization unit. The modeling unit is used to establish corresponding models, including a kinetic model of the denitrification reaction, a dynamic prediction model of NOx emissions from coal-fired power plants, and an adaptive algorithm model. The prediction unit is used to predict the denitrification effect under different ammonia injection rates based on the corresponding models and to study the relationship between ammonia injection rate and denitrification efficiency. The optimization unit is used to verify the results using actual operating data and to adjust the ammonia injection frequency based on real-time concentration data to determine the optimal ammonia injection rate. The optimization unit includes a self-learning optimization subunit, a data fusion subunit, a human-machine interaction subunit, and an early warning subunit. The self-learning optimization subunit is used to adaptively adjust the ammonia injection rate and frequency based on historical data. The data fusion subunit is used to fuse data from the measurement and ammonia injection control modules to generate comprehensive decision information. The human-machine interaction subunit is used to provide an interactive interface between operators and the system to monitor and adjust system parameters. The early warning subunit is used to monitor the system's operating status in real time, determine whether it exceeds the set range, and trigger an alarm when an anomaly is detected.

[0035] Specifically, a kinetic model of the denitrification reaction, a dynamic prediction model of NOx emissions, and an adaptive algorithm model are established to provide a theoretical basis for subsequent prediction and optimization. By predicting the denitrification effect under different ammonia injection rates based on the model, the relationship between ammonia injection rate and denitrification efficiency is studied, thus providing a reference for practical applications. The model is verified through actual operation data, and the ammonia injection frequency is adjusted in real time to determine the optimal ammonia injection rate, thereby achieving efficient denitrification.

[0036] Please see the appendix Figure 4 The ammonia injection mode optimization module includes a measurement unit and a test unit. The measurement unit is used to measure and analyze the impact of different ammonia injection modes on denitrification efficiency. The ammonia injection modes include atomized ammonia injection, aerosol ammonia injection, and grid ammonia injection. The test unit is used to adjust the ammonia injection mode according to the ammonia distribution characteristics under different ammonia injection modes.

[0037] Please see the appendix Figure 5 The measurement location optimization module includes a partitioning unit, a monitoring unit, and an ammonia injection device. The partitioning unit is used to arrange the position and depth of the multi-point sampling probes based on the uniform arrangement of the ammonia injection guns above the denitrification reactor, the distribution of multi-point sampling at the outlet of the denitrification reactor, and the distribution of the flue gas concentration field under 30%-100% load. The monitoring unit is used to monitor the ammonia quantity in each partition in real time and calculate the average NOx concentration of that section to achieve the goal of accurate measurement. The ammonia injection device includes an ammonia injection grid, and an electric regulating valve is installed on one side of the ammonia injection grid.

[0038] Specifically, zoned monitoring combined with ammonia injection devices will significantly improve the accuracy of ammonia injection control and bring a series of benefits to improved operating conditions. Therefore, the division of zones is crucial. Based on the uniform distribution of ammonia injection nozzles above the denitrification reactor and the distribution of multi-point sampling at the reactor outlet, the best approach is to measure the distribution of the flue gas concentration field under 30%–100% load. The location and depth of the multi-point sampling probes are then determined based on this concentration field. Generally, it is difficult for companies to provide a relatively accurate concentration field distribution, so our multi-point probe layout is basically based on the average division and layout of the cross-sectional dimensions of the flue at the installation location. Depending on the size of the flue cross-section, the area covered by each multi-point sampling probe varies. According to the company's requirements, the single-sided flue is planned to be divided into multiple zones for measurement.

[0039] Furthermore, through real-time monitoring of the zones, it can not only help control the upstream ammonia volume, but also calculate the average NOx concentration of the section, achieving the goal of accurate measurement. Each zone is an independent monitoring unit, and the real-time monitoring of each zone complements each other's interference. Compared with the extraction-type analysis system, it has an extremely fast response and no risk of blockage or loss of measured substances caused by extraction.

[0040] Please see the appendix Figure 6The denitrification inlet and outlet measurement module includes an inlet measurement unit and an outlet measurement unit. The inlet measurement unit is used to set up three in-situ direct measurement devices on each of the A / B sides of the denitrification inlet. By adding calibration and purging pipelines and programs, multi-point in-situ synchronous direct measurement is formed. With the cooperation of the flue gas mixer, the number of inlet meters is reduced, and NOx at the inlet is measured quickly. The outlet measurement unit is used to set up four in-situ direct measurement devices on each of the A / B sides of the denitrification outlet. The O2 and NOx concentration fields at the denitrification inlet and outlet are constructed in real time and quickly. The in-situ direct measurement device is a dual-cell thick-film zirconium oxide nitrogen oxide sensor.

[0041] The following is a further description with reference to specific embodiments:

[0042] Example 1:

[0043] While retaining the low-NOx burner, an ammonia injection branch pipe is installed at the top of the furnace at the flame deflector or at the economizer inlet flue. The wastewater from the urea hydrolyzer is directly sprayed into the flue, and the waste heat of the flue gas is used for in-situ SNCR denitrification or pyrolysis to produce ammonia. When the NOx concentration at the SCR denitrification inlet is too high, urea solution can be sprayed in advance at the flame deflector to reduce the NOx concentration at the SCR denitrification inlet.

[0044] Vortex mixing (vortex forced mixer) technology is widely used in power plants under the State Grid Corporation of China. It directly injects ammonia into inclined baffles to generate vortices, mixing the raw flue gas with ammonia. In existing power plants, the pressure differential for 300MW and 600MW units is around 30-50Pa, while there is no application experience for 1000MW units, whose design pressure differential is below 60Pa. Based on the layout of 600MW units, 4-6 mixers can be installed in a single SCR flue of a 1000MW unit to inject ammonia. Electric regulating valves can be installed on the ammonia injection pipes to achieve zoned ammonia injection. Dual-cell thick-film zirconia nitrogen oxide sensors can achieve in-situ direct measurement of NOx. At high temperatures, the oxygen concentration on both sides of the zirconia is different, creating a potential difference. This potential difference is used to feed the oxygen concentration back to the controller to calculate the current NOx concentration. The response time from sampling in the flue to obtaining the data is within 10 seconds, effectively solving the problem of long lag times in traditional denitrification sampling and analysis devices. This solution has been applied at Zhenhai Power Plant and Changxing Power Plant, with Changxing Power Plant having been operating stably for a month at the time of the survey. This proposed solution plans to install multiple in-situ direct measurement devices at the denitrification inlet, categorized by area. By adding calibration and purging pipelines and procedures, a multi-point in-situ synchronous direct measurement system will be formed. With the assistance of a flue gas mixer, the concentration field at the denitrification inlet will be stabilized between layers, reducing the number of inlet meters and enabling rapid NOx measurement at the inlet. Sampling grids will be installed at the denitrification outlet, categorized by layer and zone, forming a multi-point in-situ synchronous direct measurement system. Real-time and rapid construction of the O2 and NOx concentration fields at the denitrification inlet and outlet will provide a basis for decision-making regarding zoned ammonia injection control.

[0045] The preliminary plan for zoned measurement is as follows: the denitrification outlet is divided into four zones, the denitrification inlet into three zones, and three in-situ direct measurement devices are set up on each of the A / B sides of the denitrification inlet and four in-situ direct measurement devices are set up on each of the A / B sides of the denitrification outlet. The dual-pool thick-film zirconium oxide flue gas analyzer is easy to move and can be arranged in different locations according to different schemes during the test.

[0046] Ammonia injection precision control technology based on operating condition prediction and machine self-learning has established a dynamic prediction model for NOx emissions from coal-fired power plants using big data modeling and particle swarm optimization algorithms, laying the foundation for further research on precise ammonia injection control. A recursive least squares method with a variable forgetting factor was used to model the SCR flue gas denitrification system, further investigating the application effect of adaptive algorithms in the denitrification system. However, reports on the application of control algorithms for the coordinated ammonia injection grid and the main ammonia injection valve have not yet been mentioned. Benefiting from the low latency and synchronous concentration field construction characteristics of in-situ partitioned measurement of dual-pool thick-film zirconia, this scheme adopts a coupled control strategy of automatic leveling and semi-automatic one-key leveling.

[0047] The automatic leveling strategy employs a total volume prediction + machine learning-based ammonia injection main valve and branch valve collaborative control algorithm. This algorithm predicts the NOx mass flow rate at the denitrification inlet based on data such as load, coal consumption, and air volume, guiding the adjustment of the main and branch valves. Furthermore, the ammonia injection main valve and branch valve collaborative control algorithm coordinates total volume adjustment and zone leveling, truly achieving consistency in denitrification control, with a NOx concentration field non-uniformity (relative standard deviation) at the denitrification outlet ≤15%. To achieve rapid leveling, this solution also includes a semi-automatic "one-click leveling" control strategy. Operators can execute one-click leveling based on operating conditions and set the expected average NOx concentration. After operation begins, the system matches the operating conditions, retrieves the preset valve opening from the self-learning database, and through cyclical adjustments, levels the NOx concentration field at the denitrification outlet, achieving a non-uniformity ≤5%. This system can be exited at any time.

[0048] The denitrification optimization control process route of this invention consists of a modified SNCR pre-removal technology + flue gas premixing technology + in-situ multi-point synchronous direct measurement technology + ammonia injection precision control technology based on operating condition prediction and machine self-learning. Through NOx pre-removal, the removal pressure of the denitrification reactor is reduced, the ammonia injection pressure is decreased, and the harmless resource utilization of ammonia nitrogen wastewater from the entire plant is achieved. Flue gas premixing + strong mixing after ammonia injection + rectification improves the mixing of ammonia and flue gas, preventing flow deviation. In-situ multi-point synchronous direct measurement technology enables rapid synchronous construction of the inlet and outlet concentration fields of the denitrification system, improving the ammonia injection control capability. A self-learning main valve and branch valve collaborative control system achieves precise leveling of the denitrification outlet concentration field; a "one-click leveling" function enables rapid response during denitrification leveling.

[0049] By improving the pre-removal technology of SNCR, it is expected to reduce the NOx concentration at the denitrification inlet by more than 50 mg / m3 (standard dry basis, 6% O2, the same below). The improved SNCR pre-removal technology will concentrate the ammonia nitrogen wastewater concentration and use it as a supplementary reducing agent, achieving the harmless resource utilization of ammonia nitrogen wastewater (especially urea hydrolysis wastewater). A single unit is expected to treat 10-15 t / h of ammonia nitrogen wastewater. Through flue gas premixing technology, the non-uniformity between denitrification flue gas layers will be improved, achieving a uniform distribution of the denitrification inlet flow field with a non-uniformity within 10%; and a uniform distribution of the concentration between denitrification inlet layers with a non-uniformity within 5%. In-situ multi-point synchronous direct measurement technology will enable rapid synchronous construction of the concentration field, reducing the response time to within 20 seconds. Based on operating condition prediction and machine self-learning, precise ammonia injection control technology can achieve adaptability of denitrification ammonia injection operating conditions, and improve the stability and rapid response of ammonia injection control through prediction. This process package enables the NOx concentration non-uniformity at the denitrification outlet to be within 15% and ammonia slip to be below 3 ppm under fluctuating load conditions (load variation rate ≥ 2.0%); and under stable load conditions (load variation ≤ ± 1.0%), the NOx concentration non-uniformity at the denitrification outlet to be within 10% and ammonia slip to be below 2 ppm. This process package can reduce ammonia consumption for denitrification by approximately 5%-20% and reduce the differential pressure rise rate of the air preheater by more than 50%.

[0050] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A thermoelectric denitration precision ammonia injection partition measurement ammonia injection frequency modulation collaborative control system, characterized in that, The application relates to a coal-fired power plant ammonia injection optimization system. The system comprises an ammonia injection amount optimization module, an ammonia injection mode optimization module, a measurement position optimization module and a denitration inlet and outlet measurement module. The ammonia injection amount optimization module comprises a modeling unit, a prediction unit and an optimization unit. The modeling unit is used for establishing corresponding models, the models comprise a denitration reaction kinetics model, a coal-fired power plant NOx emission dynamic prediction model and a self-adaptive algorithm model. The prediction unit is used for predicting denitration effects under different ammonia injection amounts according to the corresponding models, researching the relationship between the ammonia injection amount and the denitration efficiency and adjusting the ammonia injection amount and frequency based on historical data. The optimization unit is used for verifying actual operation data, adjusting the ammonia injection frequency according to real-time concentration data and determining the optimal ammonia injection amount. The optimization unit comprises a self-learning optimization subunit, a data fusion subunit, a man-machine interaction subunit and a warning subunit. The self-learning optimization subunit is used for adjusting the ammonia injection amount and frequency based on historical data. The data fusion subunit is used for fusing data from the measurement and ammonia injection control modules to generate comprehensive decision information. The man-machine interaction subunit is used for providing an interactive interface between an operator and the system, monitoring and adjusting system parameters. The warning subunit is used for monitoring the system operation state in real time, judging whether the system operation state exceeds a set range and triggering an alarm when an abnormality is detected. The ammonia injection mode optimization module comprises a measurement unit and a test unit. The measurement unit is used for measuring and analyzing the influence of different ammonia injection modes on the denitration efficiency. The test unit is used for adjusting the ammonia injection mode according to ammonia distribution characteristics under different ammonia injection modes. The measurement position optimization module comprises a partition unit, a monitoring unit and an ammonia injection device. The partition unit is used for distributing the positions and depths of the multi-point sampling probes according to the uniform distribution of the ammonia injection grid above the denitration reactor, the multi-point sampling distribution of the denitration reactor outlet and the distribution of the flue gas concentration field under 30%-100% load. The monitoring unit is used for monitoring the ammonia amount of each partition in real time and calculating the average concentration of NOx of the section to realize the precise measurement target. The ammonia injection device comprises an ammonia injection grid, and one side of the ammonia injection grid is provided with an electric regulating valve. The denitration inlet and outlet measuring module comprises an inlet measuring unit and an outlet measuring unit, the inlet measuring unit is used for setting three in-situ direct measuring devices on the denitration inlet A / B side respectively, through increasing the calibration and purging pipeline and program, forming multi-point in-situ synchronous direct measurement, and under the cooperation of the flue gas mixer, the number of the inlet metering arrangement is reduced, the inlet NOx is measured quickly, the outlet measuring unit is used for setting four in-situ direct measuring devices on the denitration outlet A / B side respectively, the O2 and NOx concentration field of the denitration inlet and outlet is constructed in real time and quickly, and the in-situ direct measuring device is a double-cell thick film zirconia nitrogen oxide sensor.

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