Ammonia spraying control method and device, electronic equipment and storage medium

Abstract

The invention discloses an ammonia spraying control method and device, electronic equipment and a storage medium, and relates to the technical field of environmental protection, a plurality of measuring points are arranged on the section of a selective catalytic reduction outlet flue, and a synchronous sampling and step-by-step measuring mechanism is adopted, so that the distribution condition of NOx in flue gas can be comprehensively reflected, control misalignment caused by local measurement deviation is avoided, and the control accuracy is improved. According to the method, the representativeness and reliability of data are improved, and excessive injection of ammonia is avoided through automatic regulation logic based on the concentration difference value, so that the ammonia escape rate is remarkably reduced, the corrosion and blockage risks to downstream equipment are reduced, and the environmental emission quality is improved.

Description

Technical Field

[0001] This disclosure relates to the field of environmental protection technology, and in particular to a method and apparatus for controlling ammonia injection, electronic equipment and storage medium. Background Technology

[0002] Selective catalytic reduction (SCR) denitrification technology, as an important means of flue gas treatment in coal-fired power plants, is widely used in industries such as power, metallurgy, and chemicals. Its core lies in the efficient reduction of nitrogen oxides to nitrogen and water through the action of a catalyst. Among related technologies, a relatively complete denitrification control system has been constructed through the coordinated operation of online monitoring of flue gas components, zoned ammonia injection control, and DCS system integration.

[0003] However, existing methods for monitoring NOx at the outlet of selective catalytic reduction and controlling ammonia injection directly use single or a small number of measuring points to measure concentration, without fully considering the flow field distribution characteristics of the flue section. This may result in insufficient representativeness of the measurement data, or the control strategy may be based on local information and fail to reflect the overall operating conditions, thereby affecting denitrification efficiency and catalyst life. Summary of the Invention

[0004] This disclosure provides an ammonia injection control method, apparatus, electronic device, and storage medium. Its main purpose is to address the problem of insufficient representativeness of measurement data, or control strategies based on local information that fail to reflect overall operating conditions, thereby affecting denitrification efficiency and catalyst lifespan.

[0005] According to a first aspect of this disclosure, a method for controlling ammonia injection is provided, comprising:

[0006] Flue gas samples from each measuring point are collected synchronously through a heat-traced sampling composite tube and stored in corresponding gas storage tanks. The flue gas samples in each gas storage tank are then pre-processed.

[0007] High-precision component analysis was performed on the pretreated flue gas samples to obtain NOx and O2 concentration data at each measuring point;

[0008] The average concentration of the region is calculated based on the NOx concentration data of each measuring point, and the concentration deviation of each region is determined. Based on the concentration deviation, the opening correction value of the ammonia injection valve in each region is calculated according to the preset opening coefficient.

[0009] Adjustments to the ammonia injection valve are performed based on the aforementioned opening correction value.

[0010] Optionally, the step of calculating the opening correction value of the ammonia injection valve in each area based on the concentration deviation and according to the preset opening coefficient includes:

[0011] When the outlet NOx concentration is greater than the target value, a control signal is output to open the corresponding ammonia injection valve; when the outlet NOx concentration is less than the target value, a control signal is output to close the corresponding ammonia injection valve; when the outlet NOx concentration reaches the target value, the output control signal stops.

[0012] The adjustment of the ammonia injection valve based on the opening correction value also includes:

[0013] The control signals are connected to the distributed control system via I / O cards to achieve remote control and real-time online adjustment.

[0014] Optionally, the preprocessing of the flue gas samples in each of the gas storage tanks includes:

[0015] Flue gas samples were sequentially extracted from each gas storage tank and subjected to condensation, filtration, and NO2 to NO conversion treatment.

[0016] Optionally, before simultaneously collecting flue gas samples from each measuring point via the heated sampling composite tube and storing them in the corresponding gas storage tanks, the method further includes:

[0017] Multiple regions were divided on the cross-section of the selective catalytic reduction outlet flue, and measuring points were set in each region.

[0018] Optionally, the gas storage tank is connected to a sampling device at a measuring point to store flue gas samples from each measuring point during synchronous acquisition.

[0019] According to a second aspect of this disclosure, an ammonia injection control device is provided, comprising:

[0020] The acquisition unit is used to simultaneously acquire flue gas samples from each measuring point through a heat-traced sampling composite tube, store them in corresponding gas storage tanks, and preprocess the flue gas samples in each gas storage tank.

[0021] The analysis unit is used to perform high-precision component analysis on the pretreated flue gas sample and obtain NOx and O2 concentration data at each measuring point.

[0022] The calculation unit is used to calculate the regional average concentration based on the NOx concentration data of each measuring point, and determine the concentration deviation of each region. Based on the concentration deviation, the opening correction value of the ammonia injection valve in each region is calculated according to the preset opening coefficient.

[0023] An adjustment unit is used to adjust the ammonia injection valve based on the opening correction value.

[0024] Optionally, the computing unit is further configured to:

[0025] When the outlet NOx concentration is greater than the target value, a control signal is output to open the corresponding ammonia injection valve; when the outlet NOx concentration is less than the target value, a control signal is output to close the corresponding ammonia injection valve; when the outlet NOx concentration reaches the target value, the output control signal stops.

[0026] The adjustment unit is also used for:

[0027] The control signals are connected to the distributed control system via I / O cards to achieve remote control and real-time online adjustment.

[0028] Optionally, the acquisition unit is further configured to:

[0029] Flue gas samples were sequentially extracted from each gas storage tank and subjected to condensation, filtration, and NO2 to NO conversion treatment.

[0030] Optionally, the device further includes:

[0031] The setting unit is used to divide the selective catalytic reduction outlet flue section into multiple areas and set up measuring points in each area before the acquisition unit synchronously collects flue gas samples from each measuring point through the heat-traced sampling composite pipe and stores them in the corresponding gas storage tanks.

[0032] Optionally, the gas storage tank is connected to a sampling device at a measuring point to store flue gas samples from each measuring point during synchronous acquisition.

[0033] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[0034] At least one processor; and

[0035] A memory communicatively connected to the at least one processor; wherein,

[0036] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0037] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0038] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0039] The ammonia injection control method, apparatus, electronic equipment, and storage medium disclosed herein mainly include the following technical solutions: Simultaneously collecting flue gas samples from various measuring points via a heated sampling composite pipe, storing them in corresponding gas storage tanks, and preprocessing the flue gas samples in each gas storage tank; performing high-precision component analysis on the preprocessed flue gas samples to obtain NOx and O2 concentration data for each measuring point; calculating the regional average concentration based on the NOx concentration data of each measuring point and determining the concentration deviation for each region; calculating the opening correction value of the ammonia injection valve for each region based on the concentration deviation and according to a preset opening coefficient; and adjusting the ammonia injection valve based on the opening correction value. Compared with related technologies, the embodiments of this application, by arranging multiple measuring points on the cross-section of the selective catalytic reduction outlet flue and employing a simultaneous sampling and step-by-step measurement mechanism, can comprehensively reflect the distribution of NOx in the flue gas, avoid control inaccuracies caused by local measurement deviations, improve the representativeness and reliability of the data, and avoid excessive ammonia injection through automatic adjustment logic based on concentration differences, thereby significantly reducing the ammonia escape rate, reducing the risk of corrosion and blockage to downstream equipment, and improving environmental emission quality.

[0040] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0041] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0042] Figure 1 This is a schematic flowchart of an ammonia injection control method provided in an embodiment of this disclosure;

[0043] Figure 2 This is a schematic diagram of the structure of an ammonia injection control device provided in an embodiment of the present disclosure;

[0044] Figure 3 This is a schematic diagram of another ammonia injection control device provided in an embodiment of the present disclosure;

[0045] Figure 4 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0046] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0047] The following description, with reference to the accompanying drawings, outlines embodiments of an ammonia injection control method, apparatus, electronic device, and storage medium.

[0048] Figure 1 This is a schematic flowchart of an ammonia injection control method provided in an embodiment of this disclosure.

[0049] like Figure 1 As shown, the method includes the following steps:

[0050] Step 101: Simultaneously collect flue gas samples from each measuring point through the heat-traced sampling composite tube, store them in the corresponding gas storage tanks, and preprocess the flue gas samples in each of the gas storage tanks.

[0051] Firstly, 3-4 approximately square areas are set on the cross-section of the SCR outlet flue, each equipped with a measuring point and a corresponding sampling device to achieve accurate sampling of flue gas from different areas. Each sampling device is connected to the gas storage device in the control cabinet via a heated sampling composite pipe. The heated sampling composite pipe effectively prevents condensation of the flue gas during transmission due to temperature drop, ensuring the original state of the flue gas sample remains unaffected and guaranteeing the accuracy of subsequent analysis. During the synchronous acquisition phase, with the coordinated operation of each sampling device, flue gas samples from each measuring point are extracted simultaneously and stored separately in their respective gas storage tanks. This separate storage method avoids mixing and interference between flue gas samples from different areas, ensuring that each sample accurately reflects the flue gas characteristics of its corresponding area.

[0052] The flue gas samples stored in each gas storage tank undergo pretreatment, which includes steps such as condensation and dehydration, filtration, and NO2-to-NO conversion. Condensation and dehydration remove moisture from the flue gas to prevent it from affecting the measurement accuracy of subsequent analytical instruments. Filtration removes particulate matter and other impurities from the flue gas, preventing clogging or damage to the analytical instruments. The conversion of NO2 to NO is necessary because some high-precision analytical instruments have a more stable and sensitive response to NO. This conversion standardizes the measurement benchmark, ensuring accurate detection of the total NOx content in the flue gas. Through the above-mentioned simultaneous acquisition, separate storage, and pretreatment processes, a reliable sample basis can be provided for the subsequent accurate analysis of NOx and O2 content in the flue gas, thus laying the data foundation for the implementation of regional, on-demand ammonia injection.

[0053] Step 102: Perform high-precision component analysis on the pretreated flue gas sample to obtain NOx and O2 concentration data at each measuring point;

[0054] The analysis system sequentially tests the pretreated flue gas samples. The high-precision analytical instruments used possess high sensitivity and accuracy, precisely measuring the NOx (nitrogen oxides) and O2 (oxygen) concentrations in the flue gas samples at each measuring point. The NOx concentration data directly reflects the nitrogen oxide emissions at the corresponding SCR outlet and is the core basis for determining whether ammonia injection in that area is proceeding as needed. The O2 concentration data, on the other hand, helps reflect the combustion state and mixing of the flue gas, providing a reference for subsequent ammonia injection control logic.

[0055] This high-precision component analysis process can obtain the specific values ​​of NOx and O2 concentrations at each measuring point at the SCR outlet. These data will be transmitted to the control system as key parameters, providing accurate and reliable raw data support for subsequent regional ammonia injection adjustment, ensuring that subsequent ammonia injection control can be precisely adjusted based on the actual flue gas composition.

[0056] Step 103: Calculate the regional average concentration based on the NOx concentration data of each measuring point, and determine the concentration deviation of each region. Based on the concentration deviation, calculate the opening correction value of the ammonia injection valve in each region according to the preset opening coefficient.

[0057] For the SCR outlet, divide it into 3 to 4 approximately square areas, and take the arithmetic mean of the NOx concentrations measured at all measuring points in each area to obtain the average NOx concentration of the area. This average concentration is used as a benchmark value to measure the overall nitrogen oxide emission level of the area.

[0058] Next, the concentration deviation for each region is determined. For each measuring point within a region, the difference between the NOx concentration measured at that point and the average concentration for that region is calculated, i.e., the concentration deviation ΔNOx. The formula for this deviation is ΔNOx = NOx_i - NOx_avg (where NOx_i is the NOx concentration at a measuring point within the region, and NOx_avg is the average NOx concentration for that region). This deviation directly reflects the degree to which the nitrogen oxide concentration at that measuring point deviates from the overall regional level, providing a specific basis for subsequent ammonia injection adjustments.

[0059] Then, based on the concentration deviation obtained above, the opening correction value Δf of the ammonia injection valve in each area is calculated according to the preset opening coefficient. The specific calculation logic is as follows: when the concentration deviation ΔNOx>0, it indicates that the nitrogen oxide concentration in the area where the measuring point is located is higher than the regional average level, and the ammonia injection rate needs to be increased to reduce the NOx concentration. At this time, the opening correction value Δf = k+ × ΔNOx (k+ is the preset positive opening coefficient); when the concentration deviation ΔNOx<0, it indicates that the nitrogen oxide concentration in the area where the measuring point is located is lower than the regional average level, and the ammonia injection rate needs to be reduced to avoid excessive ammonia escape. At this time, the opening correction value Δf = -k- × ΔNOx (k- is the preset negative opening coefficient).

[0060] It should be noted that, in order to minimize the NOx concentration at the SCR outlet and avoid excessive ammonia escape due to overly large ammonia injection valve opening, the positive opening coefficient k+ and the negative opening coefficient k- should be different values. Usually, the value of k+ is less than that of k-, so that the valve opening can be adjusted more smoothly when it is necessary to increase ammonia injection, and the valve can be closed more promptly when it is necessary to decrease ammonia injection. This will enable precise control of the ammonia injection volume and lay the foundation for subsequent on-demand ammonia injection.

[0061] Step 104: Adjust the ammonia injection valve based on the opening correction value.

[0062] Each zone's ammonia injection valve responds independently to its corresponding opening correction value, achieving precise zone-specific control: When the opening correction value Δf for a zone is positive, it indicates that the NOx concentration measured at the SCR outlet measuring point in that zone is higher than the zone's average concentration (i.e., ΔNOx>0). In this case, the control system will increase the opening of the ammonia injection valve in that zone based on the value of Δf to increase the ammonia injection rate, thereby reducing the NOx concentration in the corresponding zone. When the opening correction value Δf is negative, it indicates that the NOx concentration at the SCR outlet measuring point in that zone is lower than the zone's average concentration (i.e., ΔNOx<0). The control system will then decrease the opening of the ammonia injection valve in that zone based on the value of Δf to reduce the ammonia injection rate and prevent excessive ammonia escape. During valve adjustment, the system continuously monitors the NOx concentration changes at the SCR outlet in each zone. When the NOx concentration in a zone reaches the preset target value (i.e., the concentration deviation ΔNOx approaches 0), the ammonia injection valve in that zone stops adjusting and maintains its current opening.

[0063] Because the valve opening coefficients k+ and k- have different values ​​(k+ is usually less than k-), the adjustment is smoother when increasing the valve opening, which can avoid waste or ammonia escape risk caused by a sudden increase in ammonia injection. When decreasing the valve opening, the adjustment is more timely, which can quickly suppress excessive ammonia injection and ensure that the ammonia injection in each area is precisely matched with the actual NOx concentration requirement. This truly realizes "ammonia injection on demand" and replaces the traditional "point-to-area, uniform ammonia injection" mode. Ultimately, it ensures that the overall NOx concentration at the SCR outlet remains stable within the target range, improving the economy and environmental friendliness of ammonia injection control.

[0064] In some embodiments, calculating the opening correction value of the ammonia injection valve in each region based on the concentration deviation and according to a preset opening coefficient includes:

[0065] When the outlet NOx concentration is greater than the target value, a control signal is output to open the corresponding ammonia injection valve; when the outlet NOx concentration is less than the target value, a control signal is output to close the corresponding ammonia injection valve; when the outlet NOx concentration reaches the target value, the output control signal stops.

[0066] The adjustment of the ammonia injection valve based on the opening correction value also includes:

[0067] The control signals are connected to the distributed control system via I / O cards to achieve remote control and real-time online adjustment.

[0068] When the NOx concentration in a certain area at the SCR outlet exceeds the given target value, it means that the current ammonia injection rate in that area is insufficient to control nitrogen oxides within the target range. At this time, the system will output a control signal to open the corresponding ammonia injection valve to increase the ammonia injection rate and thus reduce the NOx concentration. When the outlet NOx concentration is less than the target value, it indicates that the ammonia injection rate in that area may be excessive. To avoid ammonia escape exceeding the standard, the system will output a control signal to close the corresponding ammonia injection valve to reduce the ammonia injection rate. When the outlet NOx concentration reaches the target value, it means that the current ammonia injection rate matches the demand of that area. The system will stop outputting control signals and keep the ammonia injection valve at its current opening.

[0069] Simultaneously, during the adjustment of the ammonia injection valve based on the opening correction value, the generated control signal is connected to the distributed control system (DCS) via I / O cards, thereby realizing remote control and real-time online adjustment of the ammonia injection valve. The I / O cards, acting as a bridge between the field control signals and the DCS system, can quickly and accurately transmit the control signal corresponding to the valve opening correction to the DCS. This allows operators to monitor the adjustment status of ammonia injection valves in each area in real time via a remote monitoring interface, eliminating the need for manual on-site operation and replacing the traditional manual adjustment mode. This combination of I / O cards and DCS ensures real-time transmission and response of control signals, enabling ammonia injection valves in each area to adjust promptly according to the dynamic changes in outlet NOx concentration. This truly achieves real-time, precise online control of ammonia injection in different areas, further improving the efficiency and reliability of on-demand ammonia injection.

[0070] In some embodiments, the pretreatment of the flue gas samples in each of the gas storage tanks includes:

[0071] Flue gas samples were sequentially extracted from each gas storage tank and subjected to condensation, filtration, and NO2 to NO conversion treatment.

[0072] Since flue gas typically contains moisture, direct entry into analytical instruments could affect their detection accuracy or even damage internal components due to condensation. Condensation effectively removes moisture, ensuring the flue gas remains dry before subsequent stages. Next, filtration is performed. Flue gas may contain fly ash, particulate matter, and other impurities. If these impurities enter the analytical instruments, they could clog detection channels or adhere to sensor surfaces, distorting data. Filtration intercepts these impurities, ensuring flue gas cleanliness. Following this, NO2 is converted to NO. Considering the high-precision analytical instruments used have a more stable and sensitive response to NO, a specific conversion device converts NO2 in the flue gas to NO, standardizing NOx detection and ensuring accurate and reliable analysis of total NOx levels. By sequentially completing these pretreatment steps—condensation, filtration, and NO2-to-NO conversion—a suitable flue gas sample is provided for high-precision component analysis, laying the foundation for obtaining accurate NOx and O2 concentration data.

[0073] In some embodiments, before simultaneously collecting flue gas samples from each measuring point via a heated sampling composite tube and storing them in corresponding gas storage tanks, the method further includes:

[0074] Multiple regions were divided on the cross-section of the selective catalytic reduction outlet flue, and measuring points were set in each region.

[0075] Considering the potential for non-uniform NOx concentration distribution on the large cross-section of the SCR outlet flue, this embodiment divides the flue cross-section into 3-4 approximately square regions to accurately capture the flue gas characteristics of each area. The division of each region must consider the actual dimensions of the flue, flue gas flow characteristics, and the flue gas distribution patterns during unit operation to ensure that each region can independently reflect the local NOx concentration. Within each region, a measuring point and a corresponding sampling device are installed. The measuring point must be located in a representative position within the region to ensure that the collected flue gas sample accurately reflects the NOx concentration level of that region. By dividing the SCR outlet flue cross-section into multiple regions and setting measuring points, the limitations of traditional "point-to-area" methods can be overcome. This provides a foundation for subsequent synchronous collection of flue gas samples from each region and obtaining accurate regional NOx concentration data, thereby supporting subsequent zoned on-demand ammonia injection control and ensuring that ammonia injection adjustments are specifically matched to the actual needs of each region.

[0076] In some embodiments, the gas storage tank is connected to a sampling device at a measuring point, for storing flue gas samples from each measuring point at the time of synchronous acquisition.

[0077] The sampling device at each measuring point is individually connected to a dedicated gas storage tank via a heated sampling composite pipe. This connection method ensures that, during synchronous sampling, the flue gas samples from each measuring point can be stored separately and independently in their respective gas storage tanks, avoiding mixing and interference between flue gas samples from different measuring points.

[0078] During the synchronous acquisition phase, the flue gas from various measuring points on the SCR outlet flue section is extracted simultaneously through the coordinated action of each sampling device. Since each gas storage tank only receives samples from the single measuring point it is connected to, the original characteristics of the flue gas at each measuring point can be accurately preserved, truly reflecting the NOx concentration status of the corresponding area at the time of acquisition. This "one measuring point, one gas storage tank" storage design provides the foundation for subsequent preprocessing and high-precision component analysis of the samples in each gas storage tank, ensuring that the analysis results can accurately correspond to the area where each measuring point is located. This supports regional concentration calculation, deviation analysis, and ammonia injection valve adjustment, which is an important prerequisite for achieving accurate regional measurement and on-demand ammonia injection.

[0079] Corresponding to the ammonia injection control method described above, this invention also proposes an ammonia injection control device. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments described above, and will not be repeated here.

[0080] Figure 2 This is a schematic diagram of the structure of an ammonia injection control device provided in an embodiment of this disclosure, as shown below. Figure 2 As shown, it includes:

[0081] The acquisition unit 21 is used to simultaneously acquire flue gas samples from each measuring point through a heat-traced sampling composite tube, store them in corresponding gas storage tanks, and preprocess the flue gas samples in each gas storage tank.

[0082] Analysis unit 22 is used to perform high-precision component analysis on the pretreated flue gas sample and obtain NOx and O2 concentration data at each measuring point;

[0083] The calculation unit 23 is used to calculate the regional average concentration based on the NOx concentration data of each measuring point, and determine the concentration deviation of each region. Based on the concentration deviation, the opening correction value of the ammonia injection valve in each region is calculated according to the preset opening coefficient.

[0084] Adjustment unit 24 is used to adjust the ammonia injection valve based on the opening correction value.

[0085] Furthermore, in one possible implementation of this disclosure, the computing unit 23 is further configured to:

[0086] When the outlet NOx concentration is greater than the target value, a control signal is output to open the corresponding ammonia injection valve; when the outlet NOx concentration is less than the target value, a control signal is output to close the corresponding ammonia injection valve; when the outlet NOx concentration reaches the target value, the output control signal stops.

[0087] The adjustment unit 24 is also used for:

[0088] The control signals are connected to the distributed control system via I / O cards to achieve remote control and real-time online adjustment.

[0089] Furthermore, in one possible implementation of this disclosure, the acquisition unit 21 is further configured to:

[0090] Flue gas samples were sequentially extracted from each gas storage tank and subjected to condensation, filtration, and NO2 to NO conversion treatment.

[0091] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, the device further includes:

[0092] Setting unit 25 is used to divide the selective catalytic reduction outlet flue section into multiple areas and set up measuring points in each area before the acquisition unit 21 synchronously collects flue gas samples from each measuring point through the heat-traced sampling composite pipe and stores them in the corresponding gas storage tanks.

[0093] Furthermore, in one possible implementation of this disclosure, the gas storage tank is connected to a sampling device at a measuring point, for storing flue gas samples from each measuring point at the synchronous acquisition time.

[0094] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0095] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0096] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0097] like Figure 4 As shown, device 300 includes a computing unit 301, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 302 or a computer program loaded from storage unit 308 into RAM (Random Access Memory) 303. RAM 303 can also store various programs and data required for the operation of device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via bus 304. I / O (Input / Output) interface 305 is also connected to bus 304.

[0098] Multiple components in device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of monitors, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0099] The computing unit 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as the ammonia injection control method. For example, in some embodiments, the ammonia injection control method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the aforementioned ammonia injection control method by any other suitable means (e.g., by means of firmware).

[0100] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0102] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0104] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0105] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0106] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0107] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0108] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for controlling ammonia injection, characterized in that, include: Flue gas samples from each measuring point are collected synchronously through a heat-traced sampling composite tube and stored in corresponding gas storage tanks. The flue gas samples in each gas storage tank are then pre-processed. High-precision component analysis was performed on the pretreated flue gas samples to obtain NOx and O2 concentration data at each measuring point; The average concentration of the region is calculated based on the NOx concentration data of each measuring point, and the concentration deviation of each region is determined. Based on the concentration deviation, the opening correction value of the ammonia injection valve in each region is calculated according to the preset opening coefficient. Adjustments to the ammonia injection valve are performed based on the aforementioned opening correction value.

2. The method according to claim 1, characterized in that, The calculation of the ammonia injection valve opening correction value for each region based on the concentration deviation and according to the preset opening coefficient includes: When the outlet NOx concentration is greater than the target value, a control signal is output to open the corresponding ammonia injection valve; when the outlet NOx concentration is less than the target value, a control signal is output to close the corresponding ammonia injection valve; when the outlet NOx concentration reaches the target value, the output control signal stops. The adjustment of the ammonia injection valve based on the opening correction value also includes: The control signals are connected to the distributed control system via I / O cards to achieve remote control and real-time online adjustment.

3. The method according to claim 1, characterized in that, The preprocessing of the flue gas samples in each of the gas storage tanks includes: Flue gas samples were sequentially extracted from each gas storage tank and subjected to condensation, filtration, and NO2 to NO conversion treatment.

4. The method according to claim 1, characterized in that, Before simultaneously collecting flue gas samples from each measuring point via a heated sampling composite tube and storing them in their respective gas storage tanks, the method further includes: Multiple regions were divided on the cross-section of the selective catalytic reduction outlet flue, and measuring points were set in each region.

5. The method according to claim 4, characterized in that, The gas storage tank is connected to a sampling device at a measuring point, which is used to store the flue gas samples from each measuring point at the time of synchronous collection.

6. An ammonia injection control device, characterized in that, include: The acquisition unit is used to simultaneously acquire flue gas samples from each measuring point through a heat-traced sampling composite tube, store them in corresponding gas storage tanks, and preprocess the flue gas samples in each gas storage tank. The analysis unit is used to perform high-precision component analysis on the pretreated flue gas sample and obtain NOx and O2 concentration data at each measuring point. The calculation unit is used to calculate the regional average concentration based on the NOx concentration data of each measuring point, and determine the concentration deviation of each region. Based on the concentration deviation, the opening correction value of the ammonia injection valve in each region is calculated according to the preset opening coefficient. An adjustment unit is used to adjust the ammonia injection valve based on the opening correction value.

7. The apparatus according to claim 6, characterized in that, The computing unit is also used for: When the outlet NOx concentration is greater than the target value, a control signal is output to open the corresponding ammonia injection valve; when the outlet NOx concentration is less than the target value, a control signal is output to close the corresponding ammonia injection valve; when the outlet NOx concentration reaches the target value, the output control signal stops. The adjustment unit is also used for: The control signals are connected to the distributed control system via I / O cards to achieve remote control and real-time online adjustment.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-5.

Images