Boiler steam temperature control method and device, electronic equipment and storage medium

Abstract

The invention discloses a boiler steam temperature control method and device, electronic equipment and a storage medium, and relates to the technical field of industrial process control. A dynamic response model of a combustion working condition and a steam temperature is built based on boiler real-time operation parameters, adaptive parameters are determined in combination with a load instruction trend and historical working conditions, and the control accuracy is improved. The nonlinear characteristics of the attemperation water adjusting mechanism are accurately identified, a compensation control instruction is generated, and multiple strong nonlinear dynamic characteristics of the boiler are fully adapted, so that the problems that the existing PID control adopts a linear feedback model, the strong nonlinear dynamic characteristics of the boiler are not considered, and the control precision is low can be solved. The method solves the technical problems of non-linear interval control mismatch, steady-state deviation, dynamic overshoot / undershoot and large steam temperature fluctuation of the desuperheating water adjusting mechanism due to the fact that the temperature of the circulating fluidized bed boiler is low, and the technical effects of improving the steam temperature control precision and stability of the circulating fluidized bed boiler, eliminating the steam temperature fluctuation and guaranteeing the operation economy and safety of a unit are achieved.

Description

Technical Field

[0001] This disclosure relates to the field of industrial process control technology, and in particular to a method and apparatus for controlling boiler steam temperature, electronic equipment, and storage medium. Background Technology

[0002] As an important unit in the field of thermal power generation, the high-precision control of the main steam and reheat steam temperatures of circulating fluidized bed boilers is a core technology to ensure the economy and safety of the unit. With the development of automation technology, related technologies typically adopt a control strategy based on the classic proportional-integral-derivative (PID) algorithm, which maintains stable steam temperature through the coordinated action of multiple links such as combustion regulation and desuperheating water control.

[0003] Existing PID control methods directly employ linear feedback models without fully considering the dynamic characteristics of multiple highly nonlinear processes such as boiler combustion, heat transfer, and fluid dynamics. This can lead to a mismatch between control commands and actual effects in the nonlinear operating range (such as dead zone and saturation zone) of actuators like desuperheating dampers, resulting in steady-state deviations or dynamic overshoot / undershoot, and large steam temperature fluctuations. Summary of the Invention

[0004] This disclosure provides a method, apparatus, electronic device, and storage medium for controlling boiler steam temperature.

[0005] According to a first aspect of this disclosure, a method for controlling boiler steam temperature is provided, comprising:

[0006] Obtain the real-time operating parameters of the boiler, and construct a dynamic response model of combustion conditions and steam temperature based on the real-time operating parameters; The combustion parameters are determined based on the load command change trend and historical operating data. Based on the dynamic response model, the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism are identified, and corresponding compensation control commands for the nonlinear range are generated. Steam temperature regulation is completed based on the combustion operating parameters and the compensation control command.

[0007] Optionally, the real-time operating parameters include at least one of load command, fuel quantity, air volume, water supply, and bed temperature.

[0008] Optionally, determining the combustion condition parameters based on the load command change trend and historical operating data includes: Analyze the load command change trend to determine the load demand within the set time period; The load demand is matched with historical operating data to determine the target combustion operating parameters.

[0009] Optionally, the step of identifying the nonlinear operating range characteristics of the desuperheating water flow rate regulating mechanism based on the dynamic response model and generating corresponding compensation control commands for the nonlinear range includes: The dynamic response model is used to determine the relationship between the opening degree of the regulating mechanism and the flow rate, and to divide the linear and nonlinear operating ranges. When the regulating mechanism is in the nonlinear operating range, a nonlinear characteristic compensation control command is generated.

[0010] Optionally, the step of adjusting the steam temperature based on the combustion operating parameters and the compensation control command includes: Adjust the fuel quantity and air volume ratio according to the combustion operating parameters described above; Based on the steam temperature control requirements, at least one level of desuperheating water flow rate is adjusted in a coordinated manner.

[0011] Optionally, the method further includes: When regulating the reheat steam temperature, the amount of heat transfer medium in the external heat exchanger is adjusted according to the load change prediction results; the emergency water spray device is used as a backup device for regulating the reheat steam temperature.

[0012] According to a second aspect of this disclosure, a boiler steam temperature control device is provided, comprising: The acquisition unit is used to acquire the real-time operating parameters of the boiler and construct a dynamic response model of combustion conditions and steam temperature based on the real-time operating parameters. The determination unit is used to determine combustion operating parameters based on load command change trends and historical operating data. The generation unit is used to identify the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism based on the dynamic response model, and generate compensation control commands for the corresponding nonlinear range. The control unit is used to control the steam temperature based on the combustion operating parameters and the compensation control command.

[0013] Optionally, the real-time operating parameters include at least one of load command, fuel quantity, air volume, water supply, and bed temperature.

[0014] Optionally, the determining unit is further configured to: Analyze the load command change trend to determine the load demand within the set time period; The load demand is matched with historical operating data to determine the target combustion operating parameters.

[0015] Optionally, the generation unit is further configured to: The dynamic response model is used to determine the relationship between the opening degree of the regulating mechanism and the flow rate, and to divide the linear and nonlinear operating ranges. When the regulating mechanism is in the nonlinear operating range, a nonlinear characteristic compensation control command is generated.

[0016] Optionally, the control unit is further configured to: Adjust the fuel quantity and air volume ratio according to the combustion operating parameters described above; Based on the steam temperature control requirements, at least one level of desuperheating water flow rate is adjusted in a coordinated manner.

[0017] Optionally, the device further includes: The regulating unit is used to adjust the amount of heat transfer medium in the external heat exchanger based on the load change prediction results when regulating the reheat steam temperature; the emergency water spray device is used as a backup regulating device for the reheat steam temperature.

[0018] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0019] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0020] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0021] The boiler steam temperature control method, device, electronic equipment, and storage medium disclosed herein, through this application, construct a dynamic response model of combustion conditions and steam temperature based on real-time boiler operating parameters, determine adaptive parameters by combining load command trends and historical operating conditions, accurately identify the nonlinear characteristics of the desuperheating water regulating mechanism, and generate compensation control commands, fully adapting to the multiple strong nonlinear dynamic characteristics of the boiler. Therefore, it can solve the technical problems of existing PID control using a linear feedback model that does not consider the strong nonlinear dynamic characteristics of the boiler, resulting in nonlinear range control mismatch of the desuperheating water regulating mechanism, steady-state deviation and dynamic overshoot / undershoot, and large steam temperature fluctuations. It achieves the technical effect of improving the steam temperature control accuracy and stability of circulating fluidized bed boilers, eliminating steam temperature fluctuations, and ensuring the economic efficiency and safety of unit operation.

[0022] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0023] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 A schematic flowchart illustrating a boiler steam temperature control method provided in an embodiment of this disclosure; Figure 2 This is a schematic diagram of the structure of a boiler steam temperature control device provided in an embodiment of the present disclosure; Figure 3 This is a schematic diagram of the structure of a boiler steam temperature control device provided in an embodiment of the present disclosure; Figure 4 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0024] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0025] The following description, with reference to the accompanying drawings, outlines a method, apparatus, electronic device, and storage medium for controlling boiler steam temperature according to embodiments of the present disclosure.

[0026] Figure 1 This is a schematic flowchart illustrating a boiler steam temperature control method provided in an embodiment of this disclosure.

[0027] like Figure 1 As shown, the method includes the following steps: Step 101: Obtain the real-time operating parameters of the boiler, and construct a dynamic response model of combustion conditions and steam temperature based on the real-time operating parameters; To address the boiler operation and control requirements of circulating fluidized bed units with external beds, the first step in optimizing and controlling the main and reheat steam temperatures is to comprehensively acquire real-time boiler operating parameters. The acquisition process ensures the real-time nature and accuracy of these parameters, guaranteeing that all data corresponds synchronously with the actual boiler operating status. The acquired real-time operating parameters include core data such as load commands, coal quantity, air volume, feedwater flow rate, and bed temperature during boiler operation. These parameters directly reflect the boiler's current fuel supply and air distribution status, water system operation, and basic combustion temperature, providing crucial data support for subsequent analysis of the relationship between combustion conditions and steam temperature. The acquisition dimensions and frequency of each parameter are matched to the actual operating rhythm of the boiler, enabling a complete capture of dynamic parameter changes during boiler operation.

[0028] Based on the acquired real-time operating parameters of the entire boiler, a dynamic response model for combustion conditions and steam temperature was constructed. The modeling process was guided by combustion regulation, using various real-time operating parameters as input variables. The intrinsic relationship between changes in different real-time operating parameters and changes in boiler combustion conditions was deeply explored. At the same time, a corresponding mapping relationship was established between dynamic changes in combustion conditions and fluctuations in boiler main steam temperature and reheat steam temperature. This allows the constructed dynamic response model to accurately reflect the dynamic adjustment of combustion conditions caused by changes in real-time operating parameters during boiler operation, as well as the dynamic impact of this adjustment on main reheat steam temperature. The dynamic response model can realistically map the dynamic correlation between combustion conditions and steam temperature in actual boiler operation, providing a reliable model foundation for subsequent precise control of boiler steam temperature.

[0029] Step 102: Determine the combustion parameters based on the load command change trend and historical operating data; After constructing the dynamic response model of combustion conditions and steam temperature, the determination of combustion condition parameters is carried out. First, the trend of boiler load command changes is accurately analyzed, and the dynamic changes in load commands are captured in real time to clarify the trends and specific magnitudes of load command increases and decreases. This provides crucial trend-based evidence for subsequent adjustments to combustion conditions, allowing adjustments to combustion conditions to proactively meet load changes. Simultaneously, historical operating data accumulated during the boiler's long-term operation is retrieved. This historical data covers various combustion-related data corresponding to different load stages and operating states. It represents empirical data accumulated from actual boiler operation and clearly reflects the adaptation patterns of combustion conditions under different load demands, providing effective data references for determining combustion condition parameters.

[0030] By conducting in-depth comparative analysis of the load command change trend obtained from real-time assessment with massive historical operating condition data, and combining the inherent correlation logic between combustion conditions and load demand in the dynamic response model, the system accurately matches operating condition samples that are consistent with the current and future load command change trends in historical operating condition data. Through systematic analysis and extraction of core indicators from the matched sample data, and by comprehensively considering the actual operating status of the boiler at present, the system selects combustion-related parameter indicators that are highly adapted to the current load change demand.

[0031] Based on the comprehensive analysis of load command change trends, in-depth comparison of historical operating data, and actual boiler operating status, combustion operating parameters that precisely match the current load command change trend are determined. These parameters enable dynamic adaptation between combustion conditions and boiler load demand, providing key parameter support for subsequent adjustments to combustion conditions and precise control of steam temperature.

[0032] Step 103: Based on the dynamic response model, identify the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism and generate compensation control commands for the corresponding nonlinear range. Based on the established dynamic response model of combustion conditions and steam temperature, the working range characteristics of the desuperheating water flow regulation mechanism are identified. The desuperheating water flow regulation mechanism is the core actuator for regulating the supply of desuperheating water during the main steam temperature control of the boiler. During its operation, there are two types of working ranges: linear and nonlinear. The nonlinear working range will exhibit operating characteristics such as non-proportional regulation response and easy deviation in control accuracy due to the dynamic changes in the actual operating conditions of the boiler. These characteristics will directly affect the accuracy and response speed of steam temperature control, and are a key link that needs to be controlled in the steam temperature control process.

[0033] By leveraging the dynamic correlation between real-time operating parameter changes and steam temperature fluctuations in the dynamic response model, and combining real-time dynamic feedback data of various parameters during boiler operation, continuous characteristic identification and status monitoring are conducted across the entire operating range of the desuperheating water flow regulation mechanism. This accurately captures the changes in the mechanism's regulation behavior under different combustion conditions and load states, clearly distinguishing between the linear and nonlinear operating ranges of the mechanism. Simultaneously, core characteristic indicators such as the degree of regulation deviation, response hysteresis characteristics, and correlation between flow regulation amplitude and steam temperature changes within the nonlinear operating range are quantitatively analyzed, providing a complete and accurate understanding of the specific operating characteristics of the nonlinear operating range. Based on the identified nonlinear operating range characteristics of the desuperheating water flow regulating mechanism, and combined with the prediction results of the boiler steam temperature change trend from the dynamic response model, a compensation control command adapted to this nonlinear range is generated. The parameters of this compensation control command are set to match the actual regulation characteristics of the nonlinear operating range, enabling precise correction of the regulation deviation generated by the mechanism within this range and advance compensation for response lag during the regulation process. This ensures that even when the desuperheating water flow regulating mechanism is in the nonlinear operating range, it can still achieve precise regulation of the desuperheating water flow according to the compensation control command, providing a stable and reliable execution basis for the fine-grained control of the boiler main steam temperature and guaranteeing the response speed and regulation accuracy of the steam temperature control process.

[0034] Step 104: Complete steam temperature regulation based on the combustion operating parameters and the compensation control command.

[0035] After determining the combustion parameters that match the load demand and generating compensation control commands for the nonlinear range of the desuperheating water flow regulation mechanism, the boiler steam temperature regulation work is officially carried out. The combustion parameters serve as the core basis for steam temperature regulation, and the compensation control commands serve as the key execution guide for the desuperheating water regulation link. The two work together to achieve precise regulation of the boiler main reheat steam temperature from the two core dimensions of combustion regulation and desuperheating regulation.

[0036] During the control process, the boiler combustion system is first dynamically adjusted based on combustion parameters. The ratio of coal to primary and secondary air is optimized according to parameter requirements. Combustion conditions within the furnace are adjusted through a coal-air coordinated approach, ensuring the combustion state precisely matches the current load demand. This controls the overall steam temperature trend from the combustion source, preventing significant temperature fluctuations caused by mismatches between combustion conditions and load demand, thus laying a solid foundation for stable steam temperature control. Simultaneously, compensation control commands are sent to the desuperheating water flow regulation mechanism. These commands guide the mechanism's desuperheating water flow regulation operations throughout the process. When the mechanism is in the linear operating range, desuperheating water flow regulation is performed according to conventional adjustment logic in conjunction with combustion condition adjustments. When the mechanism enters the nonlinear operating range, the compensation control commands directly and precisely correct adjustment deviations and compensate for response lags in advance, ensuring the accuracy and response speed of desuperheating water flow regulation.

[0037] Simultaneously, the graded desuperheating control system is linked, taking into account the dynamic changes in combustion conditions. The first and second stages of desuperheating water are used for coarse adjustment to control the overall trend of steam temperature changes, while the third stage of desuperheating water is used for fine adjustment to calibrate minor deviations in steam temperature. This allows desuperheating regulation and combustion regulation to form a close linkage. The core combustion process is controlled based on combustion condition parameters, and the accuracy of desuperheating water regulation is ensured by compensation control commands. The two are mutually adapted and dynamically adjusted to achieve precise control of boiler steam temperature throughout the entire process. This allows the steam temperature to adjust smoothly with load changes, effectively avoiding overshoot and lag problems in the steam temperature control process, and ensuring the stability and accuracy of steam temperature control.

[0038] In some embodiments, the real-time operating parameters include at least one of load command, fuel quantity, air volume, water supply, and bed temperature.

[0039] In some embodiments, determining the combustion condition parameters based on the load command change trend and historical operating condition data includes: Analyze the load command change trend to determine the load demand within the set time period; The load demand is matched with historical operating data to determine the target combustion operating parameters.

[0040] In determining combustion operating parameters, it is necessary to analyze the changing trends of load commands in depth to clarify the specific load demand required by the unit over a set period in the future. Load demand is not simply the current load value, but rather the load trend and target value for a future period predicted based on the command change curve.

[0041] The predicted load demand is precisely matched with a large amount of historical data in the historical operating condition database. This database stores various operating condition data and their corresponding optimal combustion parameters for the unit under different load stages and operating conditions. Through this matching, the historical operating condition closest to the future load demand can be quickly identified, and the successful combustion adjustment experience used under that historical condition can be extracted to determine the target combustion operating condition parameters applicable to the current situation and the foreseeable future.

[0042] The target combustion condition parameters specifically include core control objectives such as the coal supply value, primary and secondary air ratio, and air volume supply value required to meet load demands. This process fully utilizes the value of historical experience data, ensuring that combustion condition adjustments are no longer passively adjusted based solely on current deviations, but rather based on predictions of future load changes, setting a baseline for combustion control in advance. By comparing and matching the predicted load demand with historical optimal conditions, the determined combustion condition parameters are highly targeted and accurate, laying a solid foundation for subsequent fine-tuning of main and reheat steam temperatures. This reduces potential steam temperature fluctuations caused by load changes at the source and effectively avoids overshoot due to response lag in traditional control methods.

[0043] In some embodiments, the step of identifying the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism based on the dynamic response model and generating corresponding compensation control commands for the nonlinear range includes: The dynamic response model is used to determine the relationship between the opening degree of the regulating mechanism and the flow rate, and to divide the linear and nonlinear operating ranges. When the regulating mechanism is in the nonlinear operating range, a nonlinear characteristic compensation control command is generated.

[0044] After obtaining the precise correspondence between the opening degree of the regulating mechanism and the desuperheating water flow rate determined by the dynamic response model, the entire working stroke of the regulating mechanism is divided into intervals based on this correspondence to clearly distinguish between the linear and nonlinear working intervals. The linear working interval refers to the region where the change in the opening degree of the regulating mechanism and the resulting change in the desuperheating water flow rate exhibit a stable proportional relationship. Within this region, effective regulation can be achieved by using conventional control strategies.

[0045] The nonlinear operating range refers to the region where the change in the opening degree of the regulating mechanism and the change in the cooling water flow rate no longer maintain a fixed proportion, exhibiting nonlinear characteristics such as sluggish response or oversensitivity. This region often appears in the initial stage of the regulating mechanism or the final stage near full opening, representing a significant challenge for precise control using traditional methods. When the regulating mechanism is determined to be in the nonlinear operating range, a compensation control command specifically targeting this nonlinear characteristic is generated. This compensation control command does not simply adjust proportionally based on the opening degree deviation, but rather, based on specific nonlinear characteristics identified by the dynamic response model, such as the nonlinear relationship between the rate of change in flow rate and the rate of change in opening degree, it corrects the control output by introducing a corresponding compensation algorithm.

[0046] This compensation control command drives the regulating mechanism to make rapid and precise movements within the nonlinear range, ensuring that the actual cooling water flow rate closely follows the control requirements, thereby compensating for control defects caused by the physical characteristics of the regulating mechanism itself. By accurately identifying the specific operating range of the regulating mechanism and generating corresponding compensation commands, it ensures precise and stable control of the cooling water flow rate in both linear and nonlinear ranges. This completely solves the problem of large temperature control deviations in the nonlinear region under traditional automatic control methods, providing reliable execution guarantees for subsequent fine-tuning of cooling water at various levels.

[0047] In some embodiments, the step of adjusting the steam temperature based on the combustion operating parameters and the compensation control command includes: Adjust the fuel quantity and air volume ratio according to the combustion operating parameters described above; Based on the steam temperature control requirements, at least one level of desuperheating water flow rate is adjusted in a coordinated manner.

[0048] After determining the target combustion parameters and generating compensation control commands for the nonlinear regulating mechanism, the system completes the final regulation of the main and reheat steam temperatures based on these core inputs. The regulation process first adjusts the boiler's combustion side according to the determined target combustion parameters, specifically including precisely adjusting the amount of fuel entering the furnace and the matching primary and secondary air volume ratio. This adjustment aims to establish combustion conditions adapted to current load demands and future load trends, changing the heat load distribution and flue gas generation within the furnace by optimizing the coal-air coordination relationship, thereby proactively shaping the steam temperature trend. Once the combustion conditions are dynamically optimized and stabilized, the system monitors the temperatures of the main steam and reheat steam in real time, and generates precise desuperheating control requirements based on the deviation and rate of change between the current steam temperature and the target value.

[0049] Based on this control requirement, the system does not operate a single desuperheater in isolation, but rather adjusts the flow rate of at least one stage of desuperheating water according to a preset coordinated strategy. During execution, the coarse-tuning level desuperheating water regulating mechanism receives instructions and makes large-scale flow adjustments to quickly eliminate major deviations, while the fine-tuning level desuperheating water regulating mechanism, based on compensation control instructions, operates precisely within the nonlinear range to fine-tune the steam temperature, ensuring that the final steam temperature is accurately controlled within the set range. By closely integrating the coal-air ratio adjustment on the combustion side with the coordinated regulation of the desuperheating water on the steam-water side, a closed-loop control chain is formed from heat source generation to the heat exchange terminal. This leverages the advantages of rapid response and effective control of combustion regulation, while utilizing the precise and fine-tuning characteristics of desuperheating water regulation, jointly achieving rapid response and stable control of the main reheat steam temperature.

[0050] In some embodiments, the method further includes: When regulating the reheat steam temperature, the amount of heat transfer medium in the external heat exchanger is adjusted according to the load change prediction results; the emergency water spray device is used as a backup device for regulating the reheat steam temperature.

[0051] When regulating reheat steam temperature, the system proactively adjusts the amount of heat transfer medium inside the external heat exchanger based on predictions of load changes. As a unique heat exchange device in circulating fluidized bed boilers, the external heat exchanger typically uses high-temperature circulating ash as its internal heat transfer medium. By controlling the amount of ash entering or leaving the exchanger, the system can effectively alter the heat exchange capacity for reheat steam. Based on predictions of load change trends, the system analyzes in advance the impact of load variations on the flue gas temperature and fly ash temperature at the furnace outlet, and then dynamically optimizes the ash inlet and outlet rates of the external heat exchanger. By precisely adjusting the flow rate of the heat transfer medium, the system not only balances the residence time of fly ash in the heat exchange zone but also optimizes the fluidization quality of the bed material, maximizing the heat exchange efficiency of the heat exchange surface.

[0052] This control method, centered on adjusting the heat transfer medium, directly influences the heat absorption process of reheat steam at its source, achieving stable and efficient control of reheat steam temperature. Within the entire control system, the emergency water spray system is explicitly designated as a backup control device for reheat steam temperature. Under normal operating conditions, reheat steam temperature regulation primarily relies on the heat transfer medium regulation of the external heat exchanger, with the emergency water spray system remaining in standby mode. Only in extreme conditions or when the heat transfer medium's regulation capacity reaches its limit and still cannot meet the steam temperature control requirements will the system automatically and precisely intervene, activating the emergency water spray system for rapid supplementary adjustment. This strategy of using emergency water spray as a backup minimizes additional heat loss introduced by water spray cooling, ensuring the unit's thermodynamic cycle efficiency, and also ensuring that the reheat steam temperature can be effectively controlled within a safe range under any circumstances.

[0053] Corresponding to the above-described method for controlling boiler steam temperature, this invention also proposes a device for controlling boiler steam temperature. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments, and will not be repeated here.

[0054] Figure 2 This is a schematic diagram of the structure of a boiler steam temperature control device provided in an embodiment of this disclosure, as shown below. Figure 2 As shown, it includes: The acquisition unit 21 is used to acquire the real-time operating parameters of the boiler and construct a dynamic response model of combustion conditions and steam temperature based on the real-time operating parameters. The determining unit 22 is used to determine the combustion condition parameters based on the load command change trend and historical operating condition data; The generation unit 23 is used to identify the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism based on the dynamic response model, and generate compensation control commands for the corresponding nonlinear range. The control unit 24 is used to control the steam temperature based on the combustion operating parameters and the compensation control command.

[0055] Furthermore, in one possible implementation of this disclosure, the real-time operating parameters include at least one of load command, fuel quantity, air volume, water supply, and bed temperature.

[0056] Furthermore, in one possible implementation of this disclosure, the determining unit 22 is further configured to: Analyze the load command change trend to determine the load demand within the set time period; The load demand is matched with historical operating data to determine the target combustion operating parameters.

[0057] Furthermore, in one possible implementation of this disclosure embodiment, the generation unit 23 is further configured to: The dynamic response model is used to determine the relationship between the opening degree of the regulating mechanism and the flow rate, and to divide the linear and nonlinear operating ranges. When the regulating mechanism is in the nonlinear operating range, a nonlinear characteristic compensation control command is generated.

[0058] Furthermore, in one possible implementation of this disclosure, the control unit 24 is further configured to: Adjust the fuel quantity and air volume ratio according to the combustion operating parameters described above; Based on the steam temperature control requirements, at least one level of desuperheating water flow rate is adjusted in a coordinated manner.

[0059] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, the device further includes: The regulating unit 25 is used to adjust the amount of heat transfer medium in the external heat exchanger based on the load change prediction results when regulating the reheat steam temperature; wherein, the emergency water spray device is used as a backup regulating device for the reheat steam temperature.

[0060] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0061] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0062] Figure 4A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0063] like Figure 4 As shown, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 may also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0064] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0065] The computing unit 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as the boiler steam temperature control method. For example, in some embodiments, the boiler steam temperature control method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned boiler steam temperature control method by any other suitable means (e.g., by means of firmware).

[0066] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0067] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0068] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0069] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0070] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0071] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0072] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0073] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0074] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for controlling boiler steam temperature, characterized in that, include: Obtain the real-time operating parameters of the boiler, and construct a dynamic response model of combustion conditions and steam temperature based on the real-time operating parameters; The combustion parameters are determined based on the load command change trend and historical operating data. Based on the dynamic response model, the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism are identified, and corresponding compensation control commands for the nonlinear range are generated. Steam temperature regulation is completed based on the combustion operating parameters and the compensation control command.

2. The method according to claim 1, characterized in that, The real-time operating parameters include at least one of the following: load command, fuel quantity, air volume, water supply, and bed temperature.

3. The method according to claim 1, characterized in that, The determination of combustion parameters based on load command change trends and historical operating data includes: Analyze the load command change trend to determine the load demand within the set time period; The load demand is matched with historical operating data to determine the target combustion operating parameters.

4. The method according to claim 1, characterized in that, The step of identifying the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism based on the dynamic response model and generating corresponding compensation control commands for the nonlinear range includes: The dynamic response model is used to determine the relationship between the opening degree of the regulating mechanism and the flow rate, and to divide the linear and nonlinear operating ranges. When the regulating mechanism is in the nonlinear operating range, a nonlinear characteristic compensation control command is generated.

5. The method according to claim 1, characterized in that, The process of adjusting steam temperature based on the combustion operating parameters and the compensation control command includes: Adjust the fuel quantity and air volume ratio according to the combustion operating parameters described above; Based on the steam temperature control requirements, at least one level of desuperheating water flow rate is adjusted in a coordinated manner.

6. The method according to claim 1, characterized in that, The method further includes: When regulating the reheat steam temperature, the amount of heat transfer medium in the external heat exchanger is adjusted according to the load change prediction results; the emergency water spray device is used as a backup device for regulating the reheat steam temperature.

7. A boiler steam temperature control device, characterized in that, include: The acquisition unit is used to acquire the real-time operating parameters of the boiler and construct a dynamic response model of combustion conditions and steam temperature based on the real-time operating parameters. The determination unit is used to determine combustion operating parameters based on load command change trends and historical operating data. The generation unit is used to identify the nonlinear operating range characteristics of the desuperheating water flow regulation mechanism based on the dynamic response model, and generate compensation control commands for the corresponding nonlinear range. The control unit is used to control the steam temperature based on the combustion operating parameters and the compensation control command.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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