Scr denitration optimization system and control method thereof

Abstract

The application provides an SCR denitration optimization system and a control method thereof, which comprises a communication data acquisition / sending module, an operation controller and a DCS control system, wherein the communication data acquisition / sending module is used for acquiring various monitoring data and forwarding various control instructions, the control instructions comprising an actuator adjustment instruction and a boiler load instruction; the operation controller is used for receiving various monitoring data transmitted by the communication data acquisition / sending module, generating various control instructions and sending the control instructions to the DCS control system through the communication data acquisition / sending module; and the DCS control system is used for adjusting and controlling an actuator according to the received control instructions, the actuator comprising an ammonia injection adjustment valve. Thus, the environmental protection cost can be greatly reduced under the condition that the environmental protection indexes are not over standard, the labor load of personnel is greatly reduced, the reaction speed of the system is accelerated, and the probability of fault occurrence is reduced.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, specifically to an SCR denitrification optimization system and its control method. Background Technology

[0002] With the needs of socio-economic development, the traditional energy industry and thermal power units have developed rapidly. my country's thermal power units mainly rely on coal, and the NOx emissions from coal combustion cause serious air pollution. As the country places greater emphasis on environmental governance, a large number of thermal power units are undergoing ultra-low emission retrofitting with denitrification systems.

[0003] Currently, with the rapid transformation of the energy structure, the large-scale grid connection of new energy power has placed demands on the operational flexibility of coal-fired power units. Rapid and deep load changes mean that the operating conditions of the units change rapidly and over a wide range. These changes in boiler operating conditions exacerbate NOx fluctuations caused by combustion, undoubtedly increasing the difficulty for the units to achieve ultra-low NOx emissions. Selective catalytic reduction (SCR) is currently the mainstream flue gas denitrification technology. Its reaction is a complex physicochemical process, and a larger ammonia injection can reduce NOx emissions.

[0004] However, existing SCR denitrification solutions increase economic costs and lead to greater ammonia slip, affecting the safe operation of the unit. Therefore, how to optimize and control the denitrification system to achieve economical unit operation while ensuring compliance with emission standards is an urgent problem to be solved for coal-fired power plants. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide an SCR denitrification optimization system and its control method.

[0006] In a first aspect, embodiments of this application provide an SCR denitrification optimization system, comprising: a communication data acquisition / transmission module, a computing controller, and a DCS control system, wherein:

[0007] The communication data acquisition / transmission module is used to acquire various monitoring data and forward various control commands. The monitoring data includes: NOx value at the denitrification outlet, NOx value at the chimney inlet, reducing agent flow rate, NOx value at the denitrification inlet, boiler load, actuator adjustment feedback, furnace oxygen content, fuel quantity, total air volume, and flue gas temperature at the SCR reactor inlet. The control commands include: actuator adjustment commands and boiler load commands.

[0008] The computing controller is used to receive various monitoring data transmitted by the communication data acquisition / transmission module, and generate various control commands before sending them to the DCS control system through the communication data acquisition / transmission module.

[0009] The DCS control system is used to adjust and control the actuator according to the received control commands. The actuator includes an ammonia injection regulating valve.

[0010] Optionally, the computing controller includes: a multi-layer composite advanced control unit, a process stability optimization unit, a human-machine operation unit, and a lifecycle management unit, wherein:

[0011] The multi-layer composite advanced control unit is used to generate corresponding optimization parameters based on the various monitoring data received and the set values ​​transmitted by the human-machine operation unit.

[0012] The process stability optimization unit is used to preprocess various monitoring data received, and generate control commands based on the preprocessed data and operating conditions.

[0013] The human-machine operation unit is used for input / removal, NOx control target switching and setting operations;

[0014] The lifecycle management unit is used to provide closed-loop management and optimization services for the entire lifecycle of the loop.

[0015] Optionally, the multi-layered composite advanced control unit includes: a first soft measurement control module, a fuzzy control module, a Smith model prediction control module, and a multi-parameter target optimization control module, wherein:

[0016] The first soft measurement control module is used to collect the NOx value at the denitrification outlet, the NOx value at the chimney inlet, the reducing agent flow rate, the actuator adjustment command, and the actuator adjustment feedback, and to perform filtering and bad value removal, and transmit the preprocessed data to the Fuzzy control module, the Smith model prediction control module, and the multi-parameter target optimization control module.

[0017] The fuzzy control module is used to make fuzzy control decisions based on the pre-processed NOx value at the denitrification outlet, the set value at the denitrification outlet, the NOx value at the chimney inlet, and the set value at the chimney inlet. When the deviation between the set value at the chimney inlet and the NOx value at the chimney inlet exceeds a threshold, the module responds to the fuzzy control decision to reduce the control deviation.

[0018] The Smith model prediction control module is used to establish a first process model for the NOx value at the denitrification outlet corresponding to the reducing agent flow rate, based on the pre-treated denitrification outlet NOx value, the denitrification outlet NOx value, and the reducing agent flow rate; a second process model for calculating the NOx value at the chimney inlet corresponding to the reducing agent flow rate, based on the reducing agent flow rate; a third process model for establishing the reducing agent flow rate corresponding to the actuator, based on the pre-treated reducing agent flow rate and the actuator adjustment feedback; and to construct a Smith prediction controller based on the filtering parameters and PID adjustment parameters calculated by the first process model, the second process model, the third process model, and the multi-parameter target optimization control module.

[0019] The multi-parameter target optimization control module is used to calculate adjustment parameters based on preprocessed data, control decisions from the Fuzzy control module, and process models from the Smith model prediction control module. It provides control decision parameters for the Fuzzy control module and filter parameters and PID adjustment parameters for the Smith model prediction control module.

[0020] Optionally, the process stability optimization unit includes: a second soft measurement control module, a working condition requirement module, and a variable working condition compensation module, wherein:

[0021] The second soft measurement control module is used to preprocess the collected boiler load command and transmit the preprocessed boiler load command to the operating condition requirement module; it also preprocesses the collected NOx value at the denitrification inlet, boiler load, oxygen content, fuel quantity, total air volume, and flue gas temperature at the denitrification inlet to obtain preprocessed operating condition data, and transmits the preprocessed operating condition data to the variable operating condition compensation module; the preprocessing methods include signal filtering and bad value removal;

[0022] The operating condition requirement module is used to predict changes in reducing agent flow rate in advance based on changes in the pre-processed boiler load command.

[0023] The variable operating condition compensation module is used to receive pre-processed operating condition data, establish corresponding control relationships, and take action in advance on the reducing agent flow command.

[0024] Optionally, the human-machine operation unit includes: a system activation / deactivation module and a NOx value control target switching and setting module, wherein:

[0025] The system activation / deactivation module is used to track the current actuator adjustment commands, NOx values ​​at the denitrification outlet, and NOx values ​​at the chimney inlet when the system is deactivated; and to switch from the tracking state to the automatic state after the system is activated.

[0026] The NOx value control target switching and setting module is used to control the NOx at the denitrification outlet and the NOx at the chimney inlet by switching the NOx value control target.

[0027] When the system controls the NOx at the denitrification outlet, if the system has been shut down, the NOx value setting tracks the NOx value at the denitrification outlet; if the system has been put into operation, the system will adjust the NOx value at the denitrification outlet.

[0028] When the system controls the NOx value at the chimney inlet, if the system is shut down, the NOx value setting tracks the NOx value at the chimney inlet; if the system is in operation, the system will adjust the NOx value at the chimney inlet.

[0029] Optionally, the lifecycle management unit includes: a monitoring module, a performance evaluation module, and an intelligent alarm module, wherein:

[0030] The monitoring module is used to display the self-control rate and stability rate after the system is put into operation, and to provide refined management of the basic self-control status.

[0031] The performance evaluation module is used to automatically generate evaluation reports, which include: automatically generated reports on a regular schedule, comprehensive loop scoring and rating, radar chart defect display, multi-dimensional loop analysis and evaluation, and comprehensive performance evaluation parameters.

[0032] The intelligent alarm module is used to issue alarms for abnormal operating conditions and abnormal parameters, as well as to provide radar chart defect diagnosis alarms, control parameter coupling alarms, execution fault alarms, and early warnings of NOx environmental parameters exceeding the standard.

[0033] In a second aspect, embodiments of this application provide a control method for an SCR denitrification optimization system, applied to the SCR denitrification optimization system described in any one of the first aspects, the method comprising:

[0034] The communication data acquisition / transmission module collects various monitoring data and forwards various control commands. The monitoring data includes: NOx value at the denitrification outlet, NOx value at the chimney inlet, reducing agent flow rate, NOx value at the denitrification inlet, boiler load, actuator adjustment feedback, furnace oxygen content, fuel quantity, total air volume, and flue gas temperature at the SCR reactor inlet. The control commands include: actuator adjustment commands and boiler load commands.

[0035] The arithmetic controller receives various monitoring data transmitted by the communication data acquisition / transmission module, generates various control commands, and then sends them to the DCS control system through the communication data acquisition / transmission module.

[0036] The DCS control system adjusts and controls the actuators according to the received control commands. The actuators include an ammonia injection regulating valve.

[0037] Thirdly, embodiments of this application provide an SCR denitrification optimization device, comprising: a processor and a memory, wherein the memory stores executable program instructions, and when the processor invokes the program instructions in the memory, the processor is used to:

[0038] The steps of implementing the control method for the SCR denitrification optimization system described in the second aspect.

[0039] Thirdly, embodiments of this application provide a computer-readable storage medium for storing a program, characterized in that, when the program is executed, it implements the steps of the control method for the SCR denitrification optimization system described in the second aspect.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] This application employs a control structure that combines a computational controller and a DCS control system, which can solve problems such as excessive NOx lag and high ammonia escape rate. It effectively improves the automation level of the denitrification unit and the stability of flue gas nitrogen oxide concentration, reduces the risk of enterprises exceeding environmental standards, saves ammonia water consumption, and greatly reduces environmental protection costs while ensuring that environmental indicators do not exceed standards. At the same time, it greatly reduces the workload of personnel, speeds up the system's response, and reduces the probability of failure. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort. Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0043] Figure 1 This is a schematic diagram of the control function of an SCR denitrification optimization system according to an embodiment of this application;

[0044] Figure 2 This is a schematic diagram of the structure of an SCR denitrification optimization system according to an embodiment of this application. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] It should be noted that when a component is said to be "fixed" to another component, it can be directly on the other component or it can be in a middle component. When a component is said to be "connected" to another component, it can be directly connected to the other component or it may be in a middle component.

[0047] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the specification of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0048] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0049] The technical solutions of the present invention and how they solve the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0050] Glossary

[0051] DCS Control System: A distributed control system is a new generation of instrument control system based on microprocessors, employing the design principles of decentralized control functions, centralized display and operation, and balancing decentralized autonomy with comprehensive coordination. DCS, also known as a distributed control system or distributed computer control system, adopts the basic design concept of decentralized control and centralized operation and management, and uses a multi-level, hierarchical, cooperative, and autonomous structure. Its main characteristics are centralized management and decentralized control. DCS has been widely used in various traditional energy industries.

[0052] Denitrification: A process that reduces the amount of nitrogen oxides emitted into the atmosphere by reducing nitrogen oxides in flue gas produced by boiler combustion using ammonia or urea. Domestic denitrification processes generally focus on selective non-catalytic reduction (SNCR) and selective catalytic reduction (SCR). SNCR is a method that reduces nitrogen oxides without using a catalyst, operating within a temperature range of 850–1100℃. Ammonia and urea are the most commonly used chemicals. Generally, SNCR denitrification efficiency can reach 25%–40% for large coal-fired units and up to 80% for small units. Because this method is greatly affected by boiler structural dimensions, it is often used as a supplementary treatment to low-NOx combustion technologies. Its engineering cost is low, the layout is simple, and the footprint is small, making it suitable for the renovation of old plants. New plants can use it in conjunction with the boiler design. Selective catalytic reduction denitrification utilizes a reducing agent (ammonia, urea) to selectively react with nitrogen oxides to produce nitrogen and water under the action of a metal catalyst, instead of being oxidized by oxygen. Hence the name "selective". It utilizes the reducing function of ammonia on nitrogen oxides to reduce nitrogen oxides to nitrogen and water, which have little impact on the atmosphere, under the action of a catalyst. The reducing agent is ammonia.

[0053] Smith predictive control, also known as Smith predictive control, is an automatic control strategy designed for systems with pure time delay. Smith predictive control, or Smith predictive compensation control, is an automatic control method that compensates for pure time delay by introducing a compensator connected in parallel with the controlled object to weaken and eliminate the pure time delay.

[0054] Fuzzy control, also known as fuzzy logic control, is an intelligent control method based on fuzzy set theory, fuzzy linguistic variables, and fuzzy logic reasoning. It mimics human fuzzy reasoning and decision-making processes in terms of behavior. This method first codifies operator or expert experience into fuzzy rules, then fuzzifies real-time signals from sensors, using the fuzzified signals as input to the fuzzy rules to complete fuzzy reasoning, and finally applying the resulting output to the actuator.

[0055] CEMS, also known as Continuous Emission Monitoring System, refers to a device that continuously monitors the concentration and total emissions of gaseous pollutants and particulate matter emitted from air pollution sources and transmits the information to the competent authority in real time. It is called "automatic flue gas monitoring system", also known as "continuous emission monitoring system" or "online flue gas monitoring system".

[0056] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0057] Figure 1 This is a schematic diagram of the control function of an SCR denitrification optimization system according to an embodiment of this application, as shown below. Figure 1 As shown, the system may include: a communication data acquisition / transmission module, a computing controller, and a DCS control system. The communication data acquisition / transmission module is used to acquire various monitoring data and forward various control commands. Monitoring data includes: NOx value at the denitrification outlet, NOx value at the chimney inlet, reducing agent flow rate, NOx value at the denitrification inlet, boiler load, actuator adjustment feedback, furnace oxygen content, fuel quantity, total air volume, and SCR reactor inlet flue gas temperature. Control commands include: actuator adjustment commands and boiler load commands. The computing controller receives various monitoring data transmitted by the communication data acquisition / transmission module, generates various control commands, and sends them to the DCS control system through the communication data acquisition / transmission module. The DCS control system adjusts and controls the actuators according to the received control commands. The actuators include: an ammonia injection regulating valve.

[0058] See Figure 1 The operational controller includes: a multi-layer composite advanced control unit, a process stability optimization unit, a human-machine interface unit, and a lifecycle management unit. Specifically: the multi-layer composite advanced control unit generates corresponding optimization parameters based on various received monitoring data and setpoints transmitted by the human-machine interface unit; the process stability optimization unit preprocesses the received monitoring data and generates control commands based on the preprocessed data and operating conditions; the human-machine interface unit performs input / output, NOx control target switching, and setting operations; and the lifecycle management unit provides closed-loop management and optimization services throughout the entire loop lifecycle.

[0059] For example, a multi-layered composite advanced control unit includes: a first soft measurement control module, a fuzzy control module, a Smith model predictive control module, and a multi-parameter target optimization control module, integrating multiple advanced control modules into one unit. The soft measurement control module preprocesses the data required by other modules; the fuzzy control module makes control decisions based on the preprocessed data; the Smith model predictive control module establishes a process model based on the preprocessed data; and the multi-parameter target optimization control module optimizes parameters based on the preprocessed data, the control decisions of the fuzzy control module, and the process model of the Smith model predictive control module, providing optimal adjustment parameters for the fuzzy control module and the Smith model predictive control module. Finally, the multi-layered composite advanced control unit outputs a comprehensive adjustment command.

[0060] For example, the soft measurement control module is used to collect NOx values ​​at the denitrification outlet, NOx values ​​at the chimney inlet, reducing agent flow rate, actuator adjustment commands, and actuator adjustment feedback, and to perform filtering and bad value removal. The preprocessed data is then transmitted to the Fuzzy control module, the Smith model prediction control module, and the multi-parameter target optimization control module.

[0061] For example, the fuzzy control module is used to make fuzzy control decisions based on the pre-processed NOx value at the denitrification outlet, the NOx setpoint at the denitrification outlet, the NOx value at the chimney inlet, and the NOx setpoint at the chimney inlet. When the deviation between the NOx setpoint at the chimney inlet and the NOx value at the chimney inlet exceeds a threshold, the control deviation is reduced according to the fuzzy control decision response.

[0062] For example, the Smith model predictive control module is used to establish a first process model based on the pretreated NOx value at the denitrification outlet, the denitrification outlet NOx value, and the reducing agent flow rate; a second process model based on the reducing agent flow rate to calculate the NOx value at the chimney inlet; a third process model based on the pretreated reducing agent flow rate and the actuator adjustment feedback to establish the actuator corresponding to the reducing agent flow rate; and a Smith predictive controller based on the first, second, and third process models and the filtering parameters and PID adjustment parameters calculated by the multi-parameter objective optimization control module. This can effectively overcome excessive lag and automatic control overshoot.

[0063] For example, a multi-parameter target optimization control module is used to calculate adjustment parameters based on preprocessed data, control decisions from a fuzzy control module, and a process model from a Smith model predictive control module. This provides control decision parameters for the fuzzy control module and filtering and PID adjustment parameters for the Smith model predictive control module, thereby improving the overall quality of automatic control.

[0064] For example, the process stability optimization unit includes a soft measurement control module, an operating condition requirement module, and a variable operating condition compensation module, integrating multiple control modules into one unit. The soft measurement control module preprocesses the collected data; the operating condition requirement module predicts changes in ammonia injection flow rate in advance based on changes in system operating condition commands; and the variable operating condition compensation module responds to ammonia injection flow rate commands in advance based on external disturbance variables. Finally, the commands from multiple control modules are superimposed as intelligent feedforward commands to the multi-layer composite advanced control unit.

[0065] For example, the soft measurement control module is used to preprocess the collected boiler load command and transmit the preprocessed boiler load command to the operating condition requirement module; it also preprocesses the collected NOx value at the denitrification inlet, boiler load, oxygen content, fuel quantity, total air volume, and flue gas temperature at the denitrification inlet to obtain preprocessed operating condition data, and transmits the preprocessed operating condition data to the variable operating condition compensation module; wherein, the preprocessing methods include: signal filtering and bad value removal.

[0066] For example, the operating condition requirement module is used to predict the change in reducing agent flow rate in advance based on the changes in the pre-processed boiler load command, thereby effectively overcoming situations such as excessive lag and automatic control overshoot.

[0067] For example, the variable operating condition compensation module is used to receive pre-processed operating condition data and establish corresponding control relationships, and to take action on the reducing agent flow command in advance, thereby effectively overcoming situations such as excessive lag and automatic control overshoot.

[0068] For example, the human-machine interface unit includes a system activation / deactivation module and a NOx value control target switching and setting module. The human-machine interface unit allows for system activation / deactivation and NOx control target switching and setting operations. When the system is activated, the NOx conversion values ​​at the denitrification outlet and the chimney inlet can be controlled separately via NOx control target switching. By setting the NOx value, the NOx conversion value can be controlled near the set value. The entire human-machine interface operation process is simple and easy to understand.

[0069] For example, the system activation / deactivation module is used to track the current actuator adjustment commands, the NOx value at the denitrification outlet, and the NOx value at the chimney inlet when the system is deactivated; after the system is activated, it switches from the tracking state to the automatic state.

[0070] For example, the NOx value control target switching and setting module is used to control the NOx at the denitrification outlet and the NOx at the chimney inlet by switching the NOx value control target. When the system controls the NOx at the denitrification outlet, if the system is shut down, the NOx value setting tracks the NOx value at the denitrification outlet; if the system is in operation, the system will adjust the NOx value at the denitrification outlet. When the system controls the NOx value at the chimney inlet, if the system is shut down, the NOx value setting tracks the NOx value at the chimney inlet; if the system is in operation, the system will adjust the NOx value at the chimney inlet.

[0071] For example, the lifecycle management unit includes: a monitoring module, a performance evaluation module, and an intelligent alarm module. The monitoring module, after system deployment, displays the self-control rate and stability rate, providing refined management of basic self-control status. The performance evaluation module automatically generates evaluation reports, including: automatically timed report generation, comprehensive loop scoring and grading, radar chart defect display, multi-dimensional loop analysis and evaluation, and comprehensive performance evaluation parameters. The intelligent alarm module provides alarms for abnormal operating conditions and parameters, as well as radar chart defect diagnosis alarms, control parameter coupling alarms, execution fault alarms, and warnings of NOx environmental parameters exceeding standards.

[0072] Figure 2 This is a schematic diagram of the structure of an SCR denitrification optimization system according to an embodiment of this application, as shown below. Figure 2 As shown, the communication data acquisition / transmission module uses the Supcon COM741-S serial communication module; the arithmetic controller uses the Supcon FCU712-S11 controller; and the DCS control system is the ECS-700 control system. The communication data acquisition / transmission module collects and transmits the denitrification outlet NOx equivalent value, the chimney inlet NOx equivalent value, ammonia injection flow rate, ammonia injection regulating valve adjustment command, ammonia injection regulating valve adjustment feedback, boiler load command, denitrification inlet NOx equivalent value, boiler steam flow rate, furnace oxygen content, fuel quantity, total air volume, and SCR reactor inlet flue gas temperature. The arithmetic controller receives data from the communication data acquisition / transmission module and calculates the ammonia injection regulating valve adjustment command through a multi-layer composite advanced control unit, ultimately sending it to the DCS system via the communication data acquisition / transmission module. The original DCS control system is used to implement the ammonia injection regulating valve adjustment.

[0073] This embodiment, by employing a control structure combining a computational controller and a DCS control system, can solve problems such as excessive NOx lag and high ammonia escape rate. It effectively improves the automation level of the denitrification unit and the stability of flue gas nitrogen oxide concentration, reduces the risk of enterprises exceeding environmental standards, saves ammonia water consumption, and greatly reduces environmental protection costs while ensuring that environmental indicators do not exceed standards. At the same time, it greatly reduces the workload of personnel, speeds up the system's response, and reduces the probability of failure.

[0074] It should be noted that those skilled in the art will understand that various aspects of the present invention can be implemented as systems, methods, or program products. Therefore, various aspects of the present invention can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, collectively referred to herein as a "circuit," "module," or "platform."

[0075] Furthermore, embodiments of this application also provide a computer-readable storage medium storing computer-executable instructions. When at least one processor of a user device executes these computer-executable instructions, the user device performs the various possible methods described above. The computer-readable medium includes a computer storage medium and a communication medium, wherein the communication medium includes any medium that facilitates the transfer of a computer program from one location to another. The storage medium can be any available medium accessible to a general-purpose or special-purpose computer. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. Additionally, the ASIC can reside in the user device. Alternatively, the processor and storage medium can exist as discrete components in a communication device.

[0076] This application also provides a program product including a computer program stored in a readable storage medium. At least one processor of the server can read the computer program from the readable storage medium, and the at least one processor executes the computer program to cause the server to implement any of the methods described in the embodiments of the present invention.

[0077] The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0078] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various modifications or variations within the scope of the claims, which do not affect the essence of the present invention.

Claims

1. An SCR denitrification optimization system, characterized in that, include: Communication data acquisition / transmission module, arithmetic controller, and DCS control system, including: The communication data acquisition / transmission module is a serial communication module used to acquire various monitoring data and forward various control commands. The monitoring data includes: NOx value at the denitrification outlet, NOx value at the chimney inlet, reducing agent flow rate, NOx value at the denitrification inlet, boiler load, actuator adjustment feedback, furnace oxygen content, fuel quantity, total air volume, and flue gas temperature at the SCR reactor inlet. The control commands include: actuator adjustment commands and boiler load commands. The computational controller is used to receive various monitoring data transmitted by the communication data acquisition / transmission module, generate various control commands, and then send them to the DCS control system through the communication data acquisition / transmission module. The computational controller includes: a multi-layer composite advanced control unit, a process stability optimization unit, a human-machine interface unit, and a lifecycle management unit. Specifically: the multi-layer composite advanced control unit is used to generate corresponding optimization parameters based on the received monitoring data and the set values ​​transmitted by the human-machine interface unit; the process stability optimization unit is used to preprocess the received monitoring data and generate control commands based on the preprocessed data and operating conditions; the human-machine interface unit is used to perform input / output, NOx control target switching, and setting operations; and the lifecycle management unit is used to provide closed-loop management and optimization services for the entire lifecycle of the loop. The DCS control system is used to adjust and control the actuator according to the received control commands. The actuator includes an ammonia injection regulating valve.

2. The SCR denitrification optimization system according to claim 1, characterized in that, The multi-layered composite advanced control unit includes: a first soft measurement control module, a fuzzy control module, a Smith model prediction control module, and a multi-parameter target optimization control module, wherein: The first soft measurement control module is used to collect the NOx value at the denitrification outlet, the NOx value at the chimney inlet, the reducing agent flow rate, the actuator adjustment command, and the actuator adjustment feedback, and to perform filtering and bad value removal, and transmit the preprocessed data to the Fuzzy control module, the Smith model prediction control module, and the multi-parameter target optimization control module. The fuzzy control module is used to make fuzzy control decisions based on the pre-processed NOx value at the denitrification outlet, the set value at the denitrification outlet, the NOx value at the chimney inlet, and the set value at the chimney inlet. When the deviation between the set value at the chimney inlet and the NOx value at the chimney inlet exceeds a threshold, the module responds to the fuzzy control decision to reduce the control deviation. The Smith model prediction control module is used to establish a first process model for the NOx value at the denitrification outlet corresponding to the reducing agent flow rate, based on the pre-treated denitrification outlet NOx value, the denitrification outlet NOx value, and the reducing agent flow rate; a second process model for calculating the NOx value at the chimney inlet corresponding to the reducing agent flow rate, based on the reducing agent flow rate; a third process model for establishing the reducing agent flow rate corresponding to the actuator, based on the pre-treated reducing agent flow rate and the actuator adjustment feedback; and to construct a Smith prediction controller based on the filtering parameters and PID adjustment parameters calculated by the first process model, the second process model, the third process model, and the multi-parameter target optimization control module. The multi-parameter target optimization control module is used to calculate adjustment parameters based on preprocessed data, control decisions from the Fuzzy control module, and process models from the Smith model prediction control module. It provides control decision parameters for the Fuzzy control module and filter parameters and PID adjustment parameters for the Smith model prediction control module.

3. The SCR denitrification optimization system according to claim 1, characterized in that, The process stability optimization unit includes: a second soft measurement control module, a working condition requirement module, and a variable working condition compensation module, wherein: The second soft measurement control module is used to preprocess the collected boiler load command and transmit the preprocessed boiler load command to the operating condition requirement module; it also preprocesses the collected NOx value at the denitrification inlet, boiler load, oxygen content, fuel quantity, total air volume, and flue gas temperature at the denitrification inlet to obtain preprocessed operating condition data, and transmits the preprocessed operating condition data to the variable operating condition compensation module; the preprocessing methods include signal filtering and bad value removal; The operating condition requirement module is used to predict changes in reducing agent flow rate in advance based on changes in the pre-processed boiler load command. The variable operating condition compensation module is used to receive pre-processed operating condition data, establish corresponding control relationships, and take action in advance on the reducing agent flow command.

4. The SCR denitrification optimization system according to claim 1, characterized in that, The human-machine operation unit includes: a system activation / deactivation module and a NOx value control target switching and setting module, wherein: The system activation / deactivation module is used to track the current actuator adjustment commands, NOx values ​​at the denitrification outlet, and NOx values ​​at the chimney inlet when the system is deactivated; and to switch from the tracking state to the automatic state after the system is activated. The NOx value control target switching and setting module is used to control the NOx at the denitrification outlet and the NOx at the chimney inlet by switching the NOx value control target. When the system controls the NOx at the denitrification outlet, if the system has been shut down, the NOx value setting tracks the NOx value at the denitrification outlet; if the system has been put into operation, the system will adjust the NOx value at the denitrification outlet. When the system controls the NOx value at the chimney inlet, if the system is shut down, the NOx value setting tracks the NOx value at the chimney inlet; if the system is in operation, the system will adjust the NOx value at the chimney inlet.

5. The SCR denitrification optimization system according to claim 1, characterized in that, The lifecycle management unit includes: a monitoring module, a performance evaluation module, and an intelligent alarm module, wherein: The monitoring module is used to display the self-control rate and stability rate after the system is put into operation, and to provide refined management of the basic self-control status. The performance evaluation module is used to automatically generate evaluation reports, which include: automatically generated reports on a regular schedule, comprehensive loop scoring and rating, radar chart defect display, multi-dimensional loop analysis and evaluation, and comprehensive performance evaluation parameters. The intelligent alarm module is used to issue alarms for abnormal operating conditions and abnormal parameters, as well as to provide radar chart defect diagnosis alarms, control parameter coupling alarms, execution fault alarms, and early warnings of NOx environmental parameters exceeding the standard.

6. A control method for an SCR denitrification optimization system, characterized in that, The method, applied to the SCR denitrification optimization system according to any one of claims 1-5, comprises: The communication data acquisition / transmission module collects various monitoring data and forwards various control commands. The monitoring data includes: NOx value at the denitrification outlet, NOx value at the chimney inlet, reducing agent flow rate, NOx value at the denitrification inlet, boiler load, actuator adjustment feedback, furnace oxygen content, fuel quantity, total air volume, and flue gas temperature at the SCR reactor inlet. The control commands include: actuator adjustment commands and boiler load commands. The arithmetic controller receives various monitoring data transmitted by the communication data acquisition / transmission module, generates various control commands, and then sends them to the DCS control system through the communication data acquisition / transmission module. The DCS control system adjusts and controls the actuators according to the received control commands. The actuators include an ammonia injection regulating valve.

7. An SCR denitrification optimization device, characterized in that, include: A processor and a memory, wherein the memory stores executable program instructions, and when the processor invokes the program instructions in the memory, the processor is used to: The steps of the control method for the SCR denitrification optimization system as described in claim 6.

8. A computer-readable storage medium for storing a program, characterized in that, When the program is executed, it implements the steps of the control method for the SCR denitrification optimization system as described in claim 6.

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