Self-adaptive optimization control method, system and equipment for coal electric boiler and storage medium

Abstract

The invention relates to a coal electric boiler self-adaptive optimization control method, system and device and a storage medium, and the method comprises the steps: selecting heat exchange parts according to user demands, and combining the heat exchange parts according to a pre-assembly rule to obtain a virtual boiler system; analyzing heat exchange parts of the virtual boiler system, determining a logical relationship between basic parts, and constructing a boiler analysis model according to the logical relationship; and obtaining a preset algorithm, and solving the boiler analysis model according to the preset algorithm to obtain an optimal control parameter. According to the method, the boiler mechanism model is established, the boiler operation data is analyzed, the optimization model is formed, boiler self-optimization control is achieved, and self-optimization adjustment and environment-friendly emission optimization are carried out on the boiler pulverization combustion system in combination with key data such as coal quality analysis, a hearth temperature field and a speed field.

Description

Technical Field

[0001] The present application relates to the field of coal-fired power generation control technology, and in particular to a method, system, device and storage medium for adaptive optimization control of coal-fired power generation boilers. Background Art

[0002] In the coal-fired power industry, the performance of the boiler as a core equipment directly affects the efficiency and stability of the entire power generation system. Parameters such as boiler load, coal, feed water, air supply, and tube wall contamination rate are constantly changing in actual operation, and these changes have a significant impact on the performance and efficiency of the boiler. However, due to the dynamic characteristics of these parameters, the theoretical performance data based on which the boiler is designed often deviates from the measured data obtained in actual operation. Traditional boiler control systems usually rely on fixed parameter settings and empirical adjustments, and therefore have difficulty adapting to these changing operating conditions. This results in the boiler possibly not being able to achieve optimal performance in actual operation, and also increases adverse impacts on the environment, such as NO x emissions and increased coal consumption.

[0003] In order to solve these problems, an intelligent control solution is needed that can respond to changes in boiler operating status in real time. However, existing technologies have certain limitations in achieving this goal, which are mainly reflected in the following aspects:

[0004] Poor parameter adaptability: traditional control systems are difficult to adapt to rapid changes in boiler operating parameters;

[0005] Efficiency improvement is limited, and fixed control strategies restrict further improvement of boiler performance;

[0006] The environment has a great impact. Under high load or unstable conditions, NO x The emission of pollutants such as carbon monoxide and carbon dioxide is difficult to effectively control;

[0007] High maintenance costs: suboptimal boiler performance leads to increased maintenance costs and shorter maintenance cycles.

[0008] Therefore, developing an adaptive intelligent optimization control system is of great significance for improving the performance and efficiency of coal-fired power boilers, reducing environmental pollution and extending the service life of equipment. Summary of the invention

[0009] The embodiments of the present application provide a method, system, device and storage medium for adaptive optimization control of a coal-fired power boiler, so as to at least solve the problem in the related art that the traditional control system is difficult to adapt to the rapid changes in boiler operating parameters.

[0010] In a first aspect, an embodiment of the present application provides a method for adaptive optimization control of a coal-fired power boiler, comprising:

[0011] Select heat exchange components according to user needs, and combine the heat exchange components according to pre-assembled rules to obtain a virtual boiler system;

[0012] Analyze the heat exchange components of the virtual boiler system, determine the basic components and the logical relationship between the basic components, and construct a boiler analysis model according to the logical relationship;

[0013] A preset algorithm is obtained, and the boiler analysis model is solved according to the preset algorithm to obtain optimal control parameters.

[0014] In one embodiment, analyzing the heat exchange components of the virtual boiler system to determine basic components and logical relationships between the basic components includes:

[0015] The logical relationship between components is determined through a top-down modular, building block approach.

[0016] In one embodiment, the determining of the logical relationship between components by a top-down modular, building block approach includes:

[0017] Determine the overall function and performance requirements of the virtual boiler system according to user needs;

[0018] Decomposing the virtual boiler system into a plurality of submodules according to the overall function and performance requirements in accordance with the modular principle;

[0019] Acquire a basic component having the same function as the submodule, and replace the submodule with the basic component;

[0020] Establish logical relationships between basic components based on their interactions and dependencies.

[0021] In one embodiment, the basic components include a water-cooled wall, a superheater, a reheater, an economizer, and an air preheater;

[0022] The logical relationship between the basic components includes one or more of sequential logic, parallel logic, feedback logic, and redundant logic.

[0023] In one embodiment, constructing a boiler analysis model according to the logical relationship includes:

[0024] The performance analysis requirements are obtained, and a corresponding boiler analysis model is constructed according to the logical relationship and the performance analysis requirements.

[0025] In one embodiment, solving the boiler analysis model according to the preset algorithm to obtain the optimal control parameters includes:

[0026] When the preset algorithm is the sequential module method, the entire system is divided into several independent subsystems, and the calculation order of each subsystem is determined. For subsystems with circulating flows, it is necessary to determine the calculation order of the broken flow and each internal unit. Then, through iterative calculation, the necessary data is input into each module to obtain the output result, and the output is used as the input of the next module, and so on, until the calculation of all modules is completed;

[0027] When the preset algorithm is the simultaneous equation method, the entire process system is described as a large nonlinear set of equations. This set of equations includes all unit operation models, physical property relationships, and design regulations in the process. Then, mathematical methods such as Newton's method or Broyden's method are used to simultaneously solve this set of equations;

[0028] When the preset algorithm is the simultaneous module method, the system is first divided into modules according to the idea of ​​the sequential module method, and the corresponding model is established. Then, the key variables and design regulations that affect the convergence performance of the system are identified, and these equations are combined to form a small-scale equation system. Then, the simultaneous solution strategy is adopted to alternately solve this small-scale equation system and each unit module until the convergence condition is reached.

[0029] In a second aspect, an embodiment of the present application provides a coal-fired power boiler adaptive optimization control system, including:

[0030] A model building module is used to select heat exchange components according to user needs, combine the heat exchange components according to pre-assembled rules, and obtain a virtual boiler system; analyze the heat exchange components of the virtual boiler system, determine the basic components and the logical relationship between the basic components, and build a boiler analysis model according to the logical relationship; obtain a preset algorithm, and solve the boiler analysis model according to the preset algorithm to obtain optimal control parameters;

[0031] A system control module, used to control the boiler system according to the optimal control parameters and send existing data to the view display module;

[0032] The view display module is used to receive and display the corresponding data, and simulate and display the virtual boiler system.

[0033] In one embodiment, the model building module includes a user interface layer, a business application layer, a system service layer and a data service layer.

[0034] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for adaptive optimization control of a coal-fired boiler as described in the first aspect above is implemented.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the coal-fired power boiler adaptive optimization control method as described in the first aspect above.

[0036] The coal-fired power boiler adaptive optimization control method, system, device and storage medium provided by the embodiments of the present application have at least the following technical effects:

[0037] By establishing a boiler mechanism model and analyzing the boiler operating data, an optimization model is formed to achieve boiler self-optimization control. In combination with key data such as coal quality analysis, furnace temperature field, velocity field, etc., the boiler pulverizing combustion system is self-optimized and environmental emissions are optimized.

[0038] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0040] Figure 1 is a flow chart of a method for adaptive optimization control of a coal-fired power boiler in one embodiment of the present application;

[0041] Figure 2 This is the structural composition of the boiler analysis model in one embodiment of the present application;

[0042] Figure 3 This is a structural diagram of an adaptive optimization control system for a coal-fired power boiler in one embodiment of the present application;

[0043] Figure 4 It is a structural block diagram of an electronic device in one embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0045] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0046] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0047] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0048] In an embodiment of the present application, the present application provides an adaptive optimization control method for a coal-fired power boiler, including:

[0049] Step S1, select heat exchange components according to user needs, combine the heat exchange components according to pre-assembly rules, and obtain a virtual boiler system. The boiler is similar to a heat exchanger network, with high-temperature side fluid and low-temperature side fluid. The high-temperature side fluid is flue gas, and the low-temperature side is water, air and other working fluids. According to the difference in the low-temperature side working fluid and the function of the heat exchange components themselves, it is divided into water-cooled wall, superheater, reheater, economizer, air preheater and other components.

[0050] The working principle of a coal-fired boiler is to use coal as fuel, release chemical energy through combustion, and after a series of energy conversion processes, finally produce steam or hot water for industrial production, power generation and heating. The working process of a coal-fired boiler can be briefly summarized as the following steps:

[0051] Coal powder preparation system: Coal-fired boilers usually use coal powder as fuel, so a pulverizing system is needed to grind raw coal into coal powder. The raw coal is fed from the coal bunker into the coal mill through the coal feeder and dried with hot air during the coal grinding process.

[0052] Pulverized coal combustion releases heat: The ground pulverized coal is transported to the burner, mixed with air in the furnace and ignited, releasing a large amount of heat, which is mainly transferred to the water-cooled wall heating surface in the form of radiation;

[0053] Flue gas transfers waste heat: The high-temperature flue gas generated by combustion passes through the superheater, reheater, economizer, air preheater and other heating surfaces in the flue, releasing heat through radiation and convection. These devices absorb the heat in the flue gas in turn, gradually reducing the flue gas temperature;

[0054] Water treatment and circulation: Boiler feed water needs to be treated and deoxygenated, then pressurized by the feed water pump, first enters the economizer to be heated into saturated water, then the saturated water enters the water-cooled wall to be heated and partially evaporated to form a steam-water mixture, which is returned to the steam drum for separation;

[0055] Steam generation and output: The separated saturated steam enters the superheater and is further heated into steam with a certain superheat temperature, and then used to drive the steam turbine to generate electricity or other industrial purposes.

[0056] In short, the working principle of coal-fired boilers covers multiple links such as fuel combustion, heat transfer, water treatment and circulation, and steam generation. Each link is precisely controlled and optimized to ensure efficient operation and environmentally friendly emissions of the boiler. The present invention aims to adaptively optimize the parameter control that affects the performance of these production links to ensure safe and efficient operation of each link. Therefore, the present application can select the heat exchange components that constitute the boiler system in the simulation software, and then design a virtual boiler system according to user needs.

[0057] Step S2, analyzing the heat exchange components of the virtual boiler system, determining basic components and logical relationships between the basic components, and constructing a boiler analysis model according to the logical relationships.

[0058] Specifically, in one embodiment, the logical relationship between components is determined through a top-down modular, building block approach. The detailed process includes the following steps:

[0059] refer to Figure 2 , Figure 2 The construction method of the model is shown, where A1, A2, A3, B1, B2, C1, C2, C3 and C4 are heat exchange components, and A1-A3 have the same function, so they can constitute the subsystem A model (regarded as A submodule); B1-B2 have the same function, so they can constitute the subsystem B model (regarded as B submodule) according to the logical relationship between the components; C1-C4 have the same function, so they can constitute the subsystem C model (regarded as C submodule), and then according to the logical relationship between each submodule, the boiler analysis model, that is, the entire system model, is constructed. Therefore, the present application can replace different heat exchange components according to the needs of users, so as to obtain different analysis models, so that the analysis model can match the actual boiler system, so as to achieve the purpose of adapting to the rapid changes in boiler operating parameters.

[0060] The overall functions and performance requirements of the virtual boiler system are clarified according to user needs; the virtual boiler system is decomposed into multiple sub-modules according to the overall functions and performance requirements in accordance with the modular principle; basic components with the same functions as the sub-modules are obtained, and the sub-modules are replaced with the basic components; and logical relationships between the basic components are established according to the interactions and dependencies between them.

[0061] In the embodiment of the present application, the basic components include a water wall, a superheater, a reheater, an economizer, and an air preheater. The logical relationship between the basic components includes:

[0062] Sequential logic: Based on the working principle of the boiler, the modules are connected in a certain order, for example, the feed water is preheated by the economizer before entering the water wall;

[0063] Parallel logic: Some modules can work in parallel to improve the processing capacity and efficiency of the system. For example, multiple superheaters can process different parts of steam in parallel.

[0064] Feedback logic: The system can adjust the working status of the module according to the real-time monitoring data, for example, adjusting the heat exchange area of ​​the superheater according to the steam temperature;

[0065] Redundant logic: To improve the reliability of the system, certain key modules can be designed as redundant configurations to prevent single point failures.

[0066] In a preferred embodiment, the logical relationship between basic components and components is determined according to a modular and building block approach, mainly from the following aspects:

[0067] First, define the system requirements. It is necessary to clarify the overall functions and performance requirements of the system. This includes determining the tasks that the system should complete, the loads it needs to carry, the operating environment, etc. Then decompose the functions and decompose the functions of the entire system into multiple sub-functions according to the modular principle. Each sub-function can independently complete a specific task and has clear inputs and outputs. Then design the basic components. According to the results of the functional decomposition, design the basic modules or components that can realize these sub-functions. Each basic component should be as independent as possible, have a single function, and be easy to manufacture, test and maintain separately. Then determine the interface between the components and define standardized interfaces for each component, including mechanical interfaces, electrical interfaces, data interfaces, etc., to ensure that different components can be correctly and conveniently connected and communicated. Then establish logical relationships: analyze the interactions and dependencies between the components and establish logical connections between them. This may include data flow, control signals, physical connections, etc. Then construct a modular structure diagram and draw a modular structure diagram of the system to clearly represent all basic components and their logical relationships with each other. This helps to understand the system architecture and conduct further analysis and optimization.

[0068] Preferably, during the design process, repeated iterations may be required to adjust the division of components and the design of interfaces, optimize the overall structure, and improve the performance, reliability, and economy of the system. After the design is completed, verification and testing are performed through simulation and actual assembly to ensure that all components can work correctly according to the predetermined logical relationships and meet system requirements. Finally, the modular design process and the final components and their logical relationships are documented in detail to provide a basis for manufacturing, assembly, and maintenance. Feedback is collected during the use of the system, and necessary adjustments and improvements are made according to the actual operation conditions to make the modular system more perfect.

[0069] In summary, the modular and building block approach not only makes the design and implementation process more efficient, but also improves the flexibility and scalability of the system, facilitating subsequent upgrades and maintenance.

[0070] In one embodiment, constructing the boiler analysis model according to the logical relationship includes: acquiring performance analysis requirements, and constructing a corresponding boiler analysis model according to the logical relationship and the performance analysis requirements.

[0071] In this application, it is necessary to first identify the basic functional requirements and analyze the basic functional requirements of the boiler system, such as combustion, heat exchange, pollutant control, etc. Then define the modules and decompose the boiler system into independent modules, each of which is responsible for a specific function, such as: the combustion module is responsible for the combustion of fuel; the heat exchange module, including the water-cooled wall, superheater, reheater, economizer and air preheater, is responsible for the transfer of heat; the control module is responsible for monitoring and adjusting the operating parameters of the boiler. Then carry out modular design, each module is designed to be independently operated and maintained, and can work with other modules. Then determine the module interface, define the physical and logical interfaces between modules, and ensure that the modules can be seamlessly integrated and interoperable. Then establish a logical relationship, and determine the logical relationship between modules according to the operating process and thermodynamic principles of the boiler, for example: the heat energy generated by combustion is transferred to water through the heat exchange module to generate steam; the steam is further heated through the superheater and reheater to meet specific temperature and pressure requirements; the economizer and air preheater use the waste heat of the flue gas to improve the overall thermal efficiency. Then set the modular control strategy, design the control strategy for each module, and ensure that the module can independently optimize its performance under changing operating conditions. Finally, system integration is carried out to integrate all modules into a unified system to ensure that the performance of the entire system meets the design requirements.

[0072] Step S3, obtaining a preset algorithm, and solving the boiler analysis model according to the preset algorithm to obtain optimal control parameters.

[0073] In one embodiment, solving the boiler analysis model according to the preset algorithm to obtain the optimal control parameters includes:

[0074] When the preset algorithm is the sequential module method, the entire system is divided into several independent subsystems, and the calculation order of each subsystem is determined. For subsystems with circulating flows, it is necessary to determine the calculation order of the broken flow and each internal unit. Then, through iterative calculation, the necessary data is input into each module to obtain the output result, and the output is used as the input of the next module, and so on, until the calculation of all modules is completed;

[0075] When the preset algorithm is the simultaneous equation method, the entire process system is described as a large nonlinear set of equations. This set of equations includes all unit operation models, physical property relationships, and design regulations in the process. Then, mathematical methods such as Newton's method or Broyden's method are used to simultaneously solve this set of equations;

[0076] When the preset algorithm is the simultaneous module method, the system is first divided into modules according to the idea of ​​the sequential module method, and the corresponding model is established. Then, the key variables and design regulations that affect the convergence performance of the system are identified, and these equations are combined to form a small-scale equation system. Then, the simultaneous solution strategy is adopted to alternately solve this small-scale equation system and each unit module until the convergence condition is reached.

[0077] In summary, the coal-fired power boiler adaptive optimization control method provided in the embodiment of the present application should be able to feed back the parameters of the actual operating conditions of the boiler to the mechanism model of the boiler thermal design calculation in real time, so as to obtain the theoretical prediction values ​​of the operating conditions. Based on these prediction values, the system can automatically adjust the operating state of the boiler to achieve the optimal operating condition, so as to improve the performance efficiency of the boiler, reduce energy consumption, and reduce environmental pollution.

[0078] In a second aspect, an embodiment of the present application provides a coal-fired power boiler adaptive optimization control system, including:

[0079] A model building module is used to select heat exchange components according to user needs, combine the heat exchange components according to pre-assembled rules, and obtain a virtual boiler system; analyze the heat exchange components of the virtual boiler system, determine the basic components and the logical relationship between the basic components, and build a boiler analysis model according to the logical relationship; obtain a preset algorithm, and solve the boiler analysis model according to the preset algorithm to obtain optimal control parameters;

[0080] A system control module, used to control the boiler system according to the optimal control parameters and send existing data to the view display module;

[0081] The view display module is used to receive and display the corresponding data, and simulate and display the virtual boiler system.

[0082] In one embodiment, the model building module includes a user interface layer, a business application layer, a system service layer and a data service layer.

[0083] In a preferred embodiment, the system of the present application adopts a hierarchical architecture model solution based on a browser / server, which is convenient for system deployment and release, can realize timely updates of system functions and applications, multi-user real-time collaborative work, project and resource sharing, and ensure data security. The system adopts a three-layer architecture of Model-View-Controller (MVC) based on a browser / server, corresponding to internal data, data representation, and input and output control respectively. The model is an abstraction of problem-related data, represents the intrinsic properties of the object, and is the core of the entire model. The view is the external manifestation of the model, and a set of models can be displayed using different views. The controller is used to connect the model and the view to maintain the consistency between the two. The MVC design model separates the performance, control, and data of the program, so that the program design has the advantages of clear process, parallel development, easy expansion, and simple maintenance. The system is divided into a user interface layer, a business application layer, a system service layer, and a data service layer. The specific architecture and the functions included in each layer are shown in the attached. Figure 3 .

[0084] To sum up, the system provided in this application can establish a boiler mechanism model, analyze the boiler operation data, form an optimization model, realize boiler self-optimizing control, and combine key data such as coal quality analysis, furnace temperature field, velocity field, etc. to perform self-optimizing adjustment and environmental emission optimization of the boiler pulverizing combustion system.

[0085] In addition, the scheme provided in this application can also reduce the dynamic amplitude of NOx generation in each working condition by 10%. For example, during the start and stop of the coal mill and the load increase and decrease period of a 1000MW coal-fired unit, the optimized denitration and desulfurization closed-loop control system has the functions of advanced control and advance pre-control, which meets the actual needs of the site. The liquid ammonia consumption before the denitration closed-loop is 0.5547kg / MWh, and the liquid ammonia consumption after the denitration closed-loop is 0.4964kg / MWh. After the denitration closed-loop is put into use, 0.0583kg / MWh of liquid ammonia can be saved, a decrease of 10.51%. It can also reduce the fluctuation amplitude of the main reheat steam temperature, reduce the overheating and thermal deviation of the boiler heating surface, etc. And after the deployment of the boiler self-optimization control system, it can effectively reduce the power supply coal consumption by about 1.5g / kW.h, improve the boiler efficiency by about 0.4%, and directly benefit 7.5 million yuan / year (calculated based on a single 1000MW ultra-supercritical unit), and reduce the annual coal consumption by 10,000 tons (calculated based on standard coal). It can also reduce CO2 emissions by 40,000 tons per year, extend the maintenance cycle of thermal power companies, reduce maintenance work periods, and directly generate economic benefits of 4 million yuan per year (calculated based on a single 1000MW ultra-supercritical unit). It can also reduce non-stop rates and ensure grid safety.

[0086] It should be noted that the adaptive optimization control system for coal-fired power boilers provided in this embodiment is used to implement the above-mentioned implementation mode, and the descriptions that have been made will not be repeated. As used above, the terms "module", "unit", "subunit", etc. can implement a combination of software and / or hardware for a predetermined function. Although the device described in the above embodiment is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0087] In a third aspect, an embodiment of the present application provides an electronic device, Figure 4 FIG. 1 is a block diagram of an electronic device according to an exemplary embodiment. Figure 4 As shown, the electronic device may include a processor 11 and a memory 12 storing computer program instructions.

[0088] Specifically, the processor 11 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0089] Among them, the memory 12 may include a large-capacity memory for data or instructions. By way of example and not limitation, the memory 12 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 12 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 12 may be inside or outside a data processing device. In a specific embodiment, the memory 12 is a non-volatile memory. In a specific embodiment, the memory 12 includes a read-only memory (ROM) and a random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-Only Memory, PROM for short), an erasable PROM (Erasable ProgrammableRead-Only Memory, EPROM for short), an electrically erasable PROM (Electrically Erasable ProgrammableRead-Only Memory, EEPROM for short), an electrically alterable ROM (Electrically Alterable Read-Only Memory, EAROM for short) or a flash memory (FLASH) or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), wherein the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0090] The memory 12 may be used to store or cache various data files that need to be processed and / or used for communication, as well as possible computer program instructions executed by the processor 11 .

[0091] The processor 11 reads and executes computer program instructions stored in the memory 12 to implement any one of the coal-fired power boiler adaptive optimization control methods in the above embodiments.

[0092] In one embodiment, the electronic device may further include a communication interface 13 and a bus 10. Figure 4 As shown, the processor 11, the memory 12, and the communication interface 13 are connected via a bus 10 and communicate with each other.

[0093] The communication interface 13 is used to realize the communication between the modules, devices, units and / or equipment in the embodiment of the present application. The communication port 13 can also realize data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage and image / data processing workstations.

[0094] The bus 10 includes hardware, software or both, and couples the components of the electronic device to each other. The bus 10 includes but is not limited to at least one of the following: a data bus, an address bus, a control bus, an expansion bus, and a local bus. By way of example and not limitation, bus 10 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, bus 10 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0095] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, the method for adaptive optimization control of a coal-fired boiler provided in the first aspect is implemented.

[0096] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0097] In a possible implementation, the present invention can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps of the adaptive optimization control method for coal-fired boilers provided in the first aspect.

[0098] The program code for executing the present invention may be written in any combination of one or more programming languages, and may be executed entirely on a user device, partially on a user device, as an independent software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0099] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for adaptive optimization control of a coal-fired power boiler, characterized in that: include: Select heat exchange components according to user needs, and combine the heat exchange components according to pre-assembled rules to obtain a virtual boiler system; Analyze the heat exchange components of the virtual boiler system, determine the basic components and the logical relationship between the basic components, and construct a boiler analysis model according to the logical relationship; A preset algorithm is obtained, and the boiler analysis model is solved according to the preset algorithm to obtain optimal control parameters.

2. The method according to claim 1, characterized in that: Analyzing the heat exchange components of the virtual boiler system to determine basic components and logical relationships between the basic components includes: The logical relationship between components is determined through a top-down modular, building block approach.

3. The method according to claim 2, characterized in that The top-down modular, building block approach is used to determine the logical relationship between components, including: Determine the overall function and performance requirements of the virtual boiler system according to user needs; Decomposing the virtual boiler system into a plurality of submodules according to the overall function and performance requirements in accordance with the modular principle; Acquire a basic component having the same function as the submodule, and replace the submodule with the basic component; Establish logical relationships between basic components based on their interactions and dependencies.

4. The method according to claim 3, characterized in that The basic components include water-cooled wall, superheater, reheater, economizer and air preheater; The logical relationship between the basic components includes one or more of sequential logic, parallel logic, feedback logic, and redundant logic.

5. The method according to claim 1, characterized in that The step of constructing a boiler analysis model according to the logical relationship comprises: The performance analysis requirements are obtained, and a corresponding boiler analysis model is constructed according to the logical relationship and the performance analysis requirements.

6. The method according to claim 1, characterized in that The preset algorithm includes a sequential module method, a simultaneous equation method or a simultaneous module method.

7. An adaptive optimization control system for a coal-fired power boiler, characterized in that: include: A model building module is used to select heat exchange components according to user needs, and combine the heat exchange components according to pre-assembled rules to obtain a virtual boiler system; Analyze the heat exchange components of the virtual boiler system, determine the basic components and the logical relationship between the basic components, and construct a boiler analysis model according to the logical relationship; obtain a preset algorithm, and solve the boiler analysis model according to the preset algorithm to obtain optimal control parameters; A system control module, used to control the boiler system according to the optimal control parameters and send existing data to a view display module; The view display module is used to receive and display the corresponding data, and simulate and display the virtual boiler system.

8. The system according to claim 7, characterized in that The model building module includes a user interface layer, a business application layer, a system service layer and a data service layer.

9. An electronic device, characterized in that: It comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for adaptive optimization control of a coal-fired power boiler as claimed in any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the adaptive optimization control method for a coal-fired power boiler according to any one of claims 1 to 6 is implemented.

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