System and method for regulating and controlling temperature between boiler water wall tubes

Abstract

The invention discloses a system and method for regulating and controlling the temperature between boiler water wall tubes, and belongs to the technical field of boiler thermal control. The system adopts a modular framework and is composed of an operation and combustion adjustment control system, a unit coordination optimization control system, a water-cooled wall throttling hole adjustment system and a central control and data processing center. The wall temperature monitoring subsystem collects data in real time, and the combustion parameter regulation and control subsystem regulates fuel and air volume. The unit coordinated optimization system predicts the wall temperature trend and pre-adjusts the power and the combustion rate of a steam turbine; the water cooling wall throttling hole adjusting system optimizes flow distribution through modeling analysis. And the central control and data processing center integrates data and generates an instruction through an intelligent decision engine to realize cooperative control of each system. Through multi-system linkage, the system effectively solves the problems of large temperature deviation between water cooling wall tubes, high wall temperature change rate and the like, improves the operation safety and stability of a boiler, and guarantees long-term efficient operation of equipment.

Description

Technical Field

[0001] The present invention belongs to the technical field of boiler thermal control, and in particular relates to a system and method for controlling the temperature between water-cooled wall tubes of a boiler. Background Art

[0002] Harbin Boiler's 1000MW ultra-supercritical boilers use vertical water-cooled walls. Due to the uneven heat load across the furnace width and depth, and the fact that the vertical water-cooled walls do not surround the furnace, there is a large deviation in heat absorption between tubes. Unlike subcritical boilers, the water-cooled walls of ultra-supercritical boilers lack self-compensation capabilities. The greater the heat absorption, the smaller the flow rate within the water-cooled wall tubes, leading to a common phenomenon of overheating.

[0003] Harbin Boiler's 600MW ultra-supercritical boilers all utilize wall-type tangential-circle firing. Wall-type tangential-circle firing is a novel combustion technology designed by Harbin Boiler. The imaginary tangential diameter of a wall-type tangential-circle fired boiler of the same capacity is much larger than that of an angle-type tangential-circle fired boiler. For example, the imaginary tangential diameter of a 660MW angle-type tangential-circle fired boiler is 873mm, while that of a wall-type tangential-circle fired boiler of the same capacity is 9523mm. This larger imaginary tangential diameter makes the boiler wall susceptible to flame erosion during hot operation, leading to waterwall overheating. Combined with deviations in vertical waterwall flow distribution, this can significantly overheat the waterwall.

[0004] To balance flow distribution within the water-wall, the boiler plant designed the system with throttle holes of varying diameters at the water-wall inlet. However, in actual boiler operation, this irrational distribution of throttle holes exacerbated overheating problems caused by flow distribution deviations. Consequently, when operating conditions changed (especially at low loads), the water-wall temperature in the high-heat-load area (from the upper burner elevation to the middle mixing header elevation) fluctuated significantly, generating significant alternating stresses that led to transverse cracks. Furthermore, the water-wall tubes near the sootblower experienced increased localized heat absorption during sootblowing, or because of water scouring from the sootblowing steam, temperature fluctuations exacerbated transverse cracks and high-temperature corrosion. Summary of the Invention

[0005] The present invention provides a system and method for controlling the temperature between water-cooled wall tubes of a boiler, so as to solve the technical problems existing in the prior art of Harbin Boiler ultra-supercritical boilers, such as large deviations in heat absorption and flow distribution between vertical water-cooled wall tubes, lack of self-compensation capability and easy overheating, wall-type tangential combustion causing flame scouring of the furnace wall and aggravating overheating, unreasonable throttle hole diameter distribution, large fluctuations in water-cooled wall temperature, generation of transverse cracks and high-temperature corrosion due to factors such as changes in operating conditions and soot blowing.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A boiler water-wall tube temperature control system, comprising an operation and combustion adjustment control system, a unit coordination optimization control system, a water-wall throttle adjustment system, and a central control and data processing center; The operation and combustion adjustment control system includes a wall temperature monitoring subsystem and a combustion parameter control subsystem; the wall temperature monitoring subsystem is a temperature sensor array and a data transmission unit on the water-cooled wall tube; the combustion parameter control subsystem includes a fuel distribution control module, a secondary air regulation module and a furnace negative pressure regulation module; the fuel distribution control module uses an electric regulating valve group to adjust the burner fuel valve opening; The unit coordinated optimization control system includes a data acquisition and analysis subsystem and a coordinated control execution subsystem; the data acquisition and analysis subsystem includes a multi-parameter sensor group and an intelligent analysis module; the coordinated control execution subsystem includes a turbine power regulation module and a boiler combustion rate optimization module; The water wall throttle adjustment system includes a hydrodynamic calculation subsystem and a throttle adjustment execution subsystem; the hydrodynamic calculation subsystem includes a modeling module and a flow analysis module; the throttle adjustment execution subsystem includes an aperture adjustment mechanism and a test verification module; The central control and data processing center includes a data integration platform, an intelligent decision-making engine and a human-computer interaction interface, which are used to realize data interaction and collaborative control of various systems.

[0007] The sampling frequency of the temperature sensor array is not less than 10 times / second.

[0008] The adjustment accuracy of the electric regulating valve group reaches ±0.5% opening.

[0009] The construction of the hydrodynamic calculation model is based on the finite element analysis method.

[0010] The human-computer interaction interface adopts a touch screen display device.

[0011] A method for controlling the temperature between water-cooled wall tubes of a boiler comprises the following steps: The wall temperature monitoring subsystem of the operation and combustion adjustment control system collects wall temperature data and transmits it to the central control and data processing center. The combustion parameter control subsystem adjusts fuel distribution, secondary air ratio and furnace negative pressure to control the temperature deviation between water-cooled wall tubes. The data acquisition and analysis subsystem of the unit coordinated optimization control system collects operating parameters and predicts temperature change trends. The coordinated control execution subsystem adjusts the turbine power and boiler combustion rate to control the wall temperature change rate. The flow distribution is analyzed using the hydrodynamic calculation subsystem of the water-cooled wall throttle hole adjustment system, and the throttle hole diameter is adjusted and the effect is verified through the throttle hole adjustment execution subsystem. The central control and data processing center integrates data from various systems, generates control instructions, and realizes data interaction and collaborative control of various systems.

[0012] The operation and combustion adjustment control system transmits the monitoring data of the wall temperature between the water-cooled wall tubes to the central control and data processing center in real time, and the intelligent decision-making engine generates combustion parameter control instructions.

[0013] When load fluctuation is predicted, the unit coordinated optimization control system starts the turbine power regulation module and the boiler combustion rate optimization module 5-10 seconds in advance for pre-adjustment.

[0014] When the water-cooled wall throttle hole adjustment system performs hydrodynamic calculations, each time the throttle hole diameter is adjusted, the hydrodynamic calculation simulation is re-performed at least three times.

[0015] The central control and data processing center displays the operating status data of each system in real time through a human-computer interaction interface, and supports operators to manually intervene and adjust control parameters.

[0016] Compared with the prior art, the present invention has the following beneficial effects: In a boiler water-wall tube temperature control system provided by this invention, the operation and combustion adjustment control system collects real-time water-wall tube temperature data via a wall temperature monitoring subsystem. An array of high-precision temperature sensors is deployed along key locations of the water-wall, collecting data at high frequency to ensure timely detection of temperature changes. After the collected data is transmitted to a central control and data processing center, an intelligent decision-making engine determines temperature deviations based on preset rules. When temperature deviations occur, the combustion parameter control subsystem responds rapidly. The fuel distribution control module utilizes a high-precision electric regulating valve assembly to precisely adjust the opening of each burner's fuel supply valve for uniform fuel distribution. The secondary air adjustment module controls the secondary fan speed via a frequency converter, optimizing the secondary air speed and ratio and improving airflow distribution within the furnace. The furnace negative pressure adjustment module utilizes a PLC control system to link the induced draft fan and the forced draft fan to maintain a stable furnace negative pressure environment. These measures effectively control water-wall tube temperature deviations, addressing the problem of excessive tube temperature deviations caused by uneven heat loads and flow distribution deviations, and reducing the risk of equipment damage due to overheating.

[0017] Furthermore, the unit coordinated optimization control system plays a key role in this solution. The multi-parameter sensor group of the data acquisition and analysis subsystem collects operating parameters in real time, and the intelligent analysis module, based on advanced machine learning models, can predict the trend of wall temperature changes in advance. When load fluctuations are predicted, the intelligent decision-making engine generates a pre-adjustment instruction and sends it to the collaborative control execution subsystem. The electro-hydraulic servo valve of the turbine power regulation module quickly adjusts the opening of the turbine control valve, and the boiler combustion rate optimization module smoothly adjusts the boiler fuel supply and combustion equipment operating curve based on the control algorithm, so that the turbine power and boiler combustion rate change in a coordinated manner, effectively controlling the wall temperature change rate. This technical means effectively avoids the large alternating stress caused by the rapid change of wall temperature during the unit load change process, which leads to problems such as transverse cracks in the water-cooled wall, thereby improving the safety and stability of boiler operation.

[0018] Furthermore, in cases where combustion adjustment cannot solve the overheating problem, the water-cooled wall throttle hole adjustment system comes into play. The hydrodynamic calculation subsystem constructs a three-dimensional hydrodynamic calculation model based on professional finite element analysis software, and simulates and analyzes the flow distribution in each water-cooled wall tube through computational fluid dynamics methods, which can accurately locate the flow deviation area and key influencing factors. The throttle hole adjustment execution subsystem adopts an aperture adjustment mechanism driven by an electric drive device, which can accurately adjust the throttle hole diameter. After each adjustment, multiple hydrodynamic calculation simulations will be performed again to ensure the optimization effect of the flow distribution. By scientifically and rationally adjusting the throttle hole diameter, the flow distribution in each water-cooled wall tube is optimized, and the overheating problem caused by the flow deviation aggravated by the unreasonable throttle hole diameter distribution is solved, the water-cooled wall overheating amplitude is reduced, and the thermal efficiency of the boiler is improved.

[0019] Furthermore, the central control and data processing center, serving as the core hub of the system, integrates data transmitted by various systems through a data integration platform to form a comprehensive database of boiler operating status. The intelligent decision-making engine quickly generates control instructions for each system based on preset control rules and algorithms, combined with data analysis results. The human-machine interaction interface uses a touch screen display device to support operators in manual intervention, parameter setting, and real-time monitoring of operating status. Each subsystem achieves two-way data exchange and collaborative control with the central control and data processing center via industrial Ethernet, forming a complete closed-loop control system. This architecture enables the system to respond quickly and accurately based on the real-time operating status of the boiler, achieving coordinated operation of each subsystem, improving the automation level and control efficiency of the entire temperature control system, ensuring the long-term stable and efficient operation of the boiler, and also reducing manual operation costs and maintenance difficulties.

[0020] The present invention provides a method for controlling the temperature between water-cooled wall tubes of a boiler. In the temperature deviation control step, the wall temperature data between water-cooled wall tubes is collected in real time by the operation and combustion adjustment control system, and transmitted to the central control and data processing center for analysis. When it is determined that the temperature deviation exceeds the set standard, the fuel distribution, secondary air ratio and furnace negative pressure are immediately adjusted synchronously by the combustion parameter control subsystem. This method breaks the limitations of traditional single parameter adjustment and responds quickly to changes in heat load through coordinated adjustment of multiple parameters. For example, when uneven heat load leads to local overheating, precise adjustment of fuel distribution can reduce the fuel supply in the high-temperature area, optimizing the secondary air ratio can improve the airflow distribution, and stabilizing the furnace negative pressure can maintain a stable combustion environment. The three work together to effectively control the wall temperature deviation between water-cooled wall tubes, avoid the risk of equipment damage such as degradation of tube wall material performance and tube burst caused by overheating, and extend the service life of the boiler.

[0021] Furthermore, the unit's coordinated optimization control system employs a "prediction-pre-adjustment" mechanism. The data acquisition and analysis subsystem collects multi-dimensional operating parameters such as load instructions, main steam pressure, and temperature in real time. The intelligent analysis module uses advanced algorithms to predict wall temperature trends. Once a load fluctuation is predicted, a pre-adjustment instruction is immediately sent to the coordinated control execution subsystem to pre-adjust the turbine power and boiler combustion rate. Compared to traditional control strategies with delayed responses, this forward-looking control method can effectively prevent rapid increases or decreases in wall temperature during load fluctuations. For example, during the unit's load increase, the combustion rate is gradually increased and the turbine power is adjusted simultaneously, keeping the wall temperature change rate within a safe range. This reduces the alternating stress caused by sudden temperature changes, lowers the probability of transverse cracks in the water-cooled wall, and significantly improves the boiler's operational safety and stability under variable load conditions.

[0022] Furthermore, to address overheating issues that combustion adjustments cannot resolve, the water-wall throttle orifice adjustment system adopts a closed-loop "calculation-adjustment-verification" process. The hydrodynamic calculation subsystem constructs a high-precision three-dimensional hydrodynamic calculation model based on professional software. Combined with computational fluid dynamics methods, it deeply analyzes the flow distribution within each water-wall tube and accurately locates the source of flow deviation caused by improper throttle orifice diameter. The throttle orifice adjustment execution subsystem precisely adjusts the orifice diameter based on the calculation results and ensures the optimization effect through multiple simulation verifications. This method changes the previous method of blindly adjusting the throttle orifice. Through scientific calculation and precise adjustment, it effectively solves the flow distribution deviation problem exacerbated by improper throttle orifice diameter distribution, reduces the extent of water-wall overheating, improves the overall thermal efficiency of the boiler, and avoids water circulation failures caused by local flow anomalies.

[0023] Furthermore, the central control and data processing center serves as the core control center of the method. It integrates the data of each system through the data integration platform. The intelligent decision-making engine generates global control instructions based on preset rules and algorithms to achieve the coordinated operation of each subsystem. This full-system collaborative control mode eliminates the need for frequent manual intervention in the temperature control process, and realizes automated closed-loop control from data collection, analysis and judgment to instruction execution. For example, when complex operating conditions change, the system can quickly integrate multi-source data such as wall temperature monitoring and load parameters. The intelligent decision-making engine quickly generates multi-dimensional instructions including combustion adjustment, power regulation, and throttle optimization. Each subsystem responds and executes synchronously, greatly improving the control efficiency, reducing the risk of manual operation errors, and ensuring the long-term stable and efficient operation of the boiler, while reducing operation and maintenance costs and manpower investment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 : Module diagram of boiler water-wall tube temperature control system. DETAILED DESCRIPTION

[0025] In order to further understand the content of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.

[0026] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0027] The boiler water-wall tube temperature control system of the present invention adopts a modular architecture, as shown in Figure 1. It consists of four core components: an operation and combustion adjustment control system, a unit coordination and optimization control system, a water-wall throttle adjustment system, and a central control and data processing center. These four systems enable data exchange and coordinated control via Industrial Ethernet, forming a complete closed-loop control system.

[0028] The operation and combustion adjustment control system includes a wall temperature monitoring subsystem and a combustion parameter control subsystem. In the wall temperature monitoring subsystem, high-precision PT100 temperature sensors are evenly distributed along the water-cooled wall tubes in areas with high heat loads (such as the area from the upper burner level to the intermediate mixing header level) and at adjacent tube connections, forming a temperature sensor array. Each temperature sensor samples 10 times per second, ensuring real-time capture of wall temperature changes. Data collected by the temperature sensors is transmitted via Industrial Ethernet to a data transmission unit, which then transmits data to the central control and data processing center using the Modbus TCP protocol. In the combustion parameter control subsystem, the fuel distribution control module utilizes a Siemens electric regulating valve block with an adjustment accuracy of ±0.5% of the opening. This module precisely controls fuel distribution by adjusting the opening of each burner's fuel supply valve. The secondary air control module controls the secondary air speed using an ABB frequency converter, adjusting the secondary air speed and ratio in real time based on boiler operating conditions to optimize airflow distribution within the furnace. The furnace negative pressure regulation module adopts Schneider PLC control system, which links the induced draft fan and the supply draft fan to accurately control the furnace negative pressure within the range of -50Pa to -100Pa, maintaining a stable combustion environment.

[0029] The coordinated optimization control system for the unit includes a data acquisition and analysis subsystem and a coordinated control execution subsystem. The data acquisition and analysis subsystem includes a multi-parameter sensor group and an intelligent analysis module. The multi-parameter sensor group includes pressure sensors (such as the Rosemount 3051 series) and temperature sensors (such as PT100 RTDs), which collect key operating parameters such as load commands, main steam pressure, temperature, and water-wall temperature in real time. The intelligent analysis module builds a machine learning model based on the Python TensorFlow framework and uses historical operating data for training. This model can predict the changing trend of water-wall temperature during load fluctuations / variations. In the coordinated control execution subsystem, the turbine power regulation module uses a Woodward electro-hydraulic servo valve to precisely control turbine power by adjusting the turbine control valve opening. The boiler combustion rate optimization module uses a PID control algorithm to control the operating curves of the boiler fuel supply system and combustion equipment, ensuring smooth combustion rate changes.

[0030] The water-wall throttle orifice adjustment system includes a hydrodynamic calculation subsystem and a throttle orifice adjustment execution subsystem. The modeling module in the hydrodynamic calculation subsystem uses ANSYS finite element analysis software to construct a three-dimensional hydrodynamic calculation model of the boiler water wall, achieving millimeter-level accuracy. The flow analysis module uses computational fluid dynamics (CFD) to simulate and analyze the flow distribution within each water wall tube, achieving an error of less than 3%. In the throttle orifice adjustment execution subsystem, the aperture adjustment mechanism utilizes a Swiss ABB electric drive, enabling precise adjustment of the orifice diameter with an accuracy of ±0.1mm. The test verification module uses temperature and pressure sensors deployed at key locations on the water wall to monitor water wall operating parameters in real time and verify the effectiveness of throttle orifice adjustments.

[0031] In the central data control and data processing center, an integrated platform based on Huawei's FusionInsight big data platform integrates data transmitted from various systems to form a comprehensive database of boiler operating status, with a data processing capacity of 10,000 records per second. The intelligent decision-making engine, using the Drools rules engine, generates control instructions for each system based on preset control rules and algorithms, combined with data analysis results. The human-machine interface uses a 19-inch Siemens touchscreen display, supporting manual operator intervention, parameter setting, and real-time monitoring of operating status, with an interface refresh rate of 1 second.

[0032] Based on the above system settings, this embodiment proposes a method for controlling the temperature between boiler water-wall tubes, the specific implementation of which is as follows: The wall temperature monitoring subsystem collects real-time water-wall tube temperature data and transmits it to the central control and data processing center. The intelligent decision-making engine generates control instructions based on preset rules, controlling the combustion parameter control subsystem to adjust fuel distribution, secondary air ratio, and furnace negative pressure. Under stable load conditions, the maximum deviation in water-wall tube temperature between tubes is controlled within 40°C, and the temperature deviation between adjacent tubes is controlled within 10°C. During load fluctuations, the maximum deviation is controlled within 60°C, and the temperature deviation between adjacent tubes is controlled within 15°C.

[0033] The data acquisition and analysis subsystem collects unit operating parameters, and the intelligent analysis module predicts temperature trends. When load fluctuations are predicted, the coordinated control execution subsystem is activated 5-10 seconds in advance. Pre-adjustments are made through the turbine power regulation module and the boiler combustion rate optimization module to control the wall temperature change rate to no more than 5°C / minute.

[0034] If combustion adjustments fail to resolve overtemperature issues, the hydrodynamic calculation subsystem constructs a three-dimensional hydrodynamic calculation model to analyze flow distribution. The orifice adjustment execution subsystem adjusts the orifice diameter based on the analysis results. After each diameter adjustment, the hydrodynamic calculation simulation is repeated three times to ensure optimal flow distribution. After adjustments are completed, the test verification module monitors water wall operating parameters to verify the effectiveness of the adjustments.

[0035] The central control and data processing center displays the operating status data of each system in real time through the human-computer interaction interface. Operators can input manual intervention instructions through the touch screen, and the intelligent decision-making engine controls the operation of each subsystem after processing.

[0036] The temperature control system and method of the present invention were applied to a 660MW ultra-supercritical boiler. The system and method of the present invention demonstrated significant control effects. The specific application process is as follows: During stable boiler operation, the wall temperature monitoring subsystem collects real-time wall temperature data at a sampling rate of 10 times per second using an array of PT100 temperature sensors deployed along the water-wall tubes in areas with high heat loads. This data is then uploaded to the central control and data processing center via an industrial Ethernet data transmission unit. After the data integration platform integrates the data, the intelligent decision-making engine, based on pre-set rules, determines that the maximum deviation in wall temperature between water-wall tubes has reached 55°C, exceeding the control standard of 40°C under stable load conditions. The intelligent decision-making engine then generates control instructions and sends them to the combustion parameter control subsystem. The electric control valve group in the fuel distribution control module immediately operates, precisely adjusting the opening of the fuel supply valves to each burner for more uniform fuel distribution. The secondary air control module uses a frequency converter to control the secondary fan speed, adjusting the secondary air speed and ratio to optimize airflow distribution within the furnace. The furnace negative pressure control module utilizes a Schneider PLC control system to coordinate the induced draft fan and the forced draft fan to stabilize the furnace negative pressure at -80 Pa. After three minutes of real-time control, the maximum deviation in wall temperature between water-wall tubes has dropped to 38°C, effectively within the standard range.

[0037] The coordinated optimization control system plays a key role in the process of increasing unit load from 50% to 100%. The multi-parameter sensor array in the data acquisition and analysis subsystem continuously collects operating parameters such as load commands, main steam pressure and temperature, and water-wall temperature, and transmits them to the intelligent analysis module. A machine learning model trained using the TensorFlow framework predicts the rapid change in wall temperature due to the load increase eight seconds in advance. The intelligent analysis module feeds the prediction results into the intelligent decision-making engine, which then generates pre-adjustment instructions and sends them to the coordinated control execution subsystem. The electro-hydraulic servo valve in the turbine power regulation module activates in advance, slowly adjusting the turbine control valve opening to steadily increase turbine power. The boiler firing rate optimization module, using a PID control algorithm, gradually adjusts the operating curves of the boiler fuel supply system and combustion equipment to ensure a steady increase in firing rate. Ultimately, throughout the entire load increase, the wall temperature change rate is controlled at 4°C / minute, preventing damage to the water-wall caused by rapid temperature fluctuations and ensuring safe and stable operation of the boiler under load fluctuations. In the actual application of this 660MW ultra-supercritical boiler, the temperature control system and method of the present invention effectively solved the problems of excessive wall temperature deviation and rapid wall temperature change rate between water-cooled wall tubes through the coordinated operation of various modules. This fully verified the reliability and effectiveness of the system and provided a strong guarantee for the safe and efficient operation of the ultra-supercritical boiler.

[0038] In addition, it should be understood that although this specification describes the embodiments, not every embodiment contains only one independent technical solution. This description is for clarity only. Those skilled in the art should consider the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for the purpose of illustrating the technical concept of the present invention and cannot be used to limit the scope of protection of the present invention. Any changes made based on the technical solution in accordance with the technical concept proposed by the present invention fall within the scope of protection of the claims of the present invention.

Claims

1. A boiler water wall tube temperature control system, characterized in that: It includes operation and combustion adjustment control system, unit coordination optimization control system, water-cooled wall throttle adjustment system and central control and data processing center; The operation and combustion adjustment control system includes a wall temperature monitoring subsystem and a combustion parameter control subsystem; the wall temperature monitoring subsystem is a temperature sensor array and a data transmission unit on the water-cooled wall tube; the combustion parameter control subsystem includes a fuel distribution control module, a secondary air regulation module and a furnace negative pressure regulation module; the fuel distribution control module uses an electric regulating valve group to adjust the burner fuel valve opening; The unit coordinated optimization control system includes a data acquisition and analysis subsystem and a coordinated control execution subsystem; the data acquisition and analysis subsystem includes a multi-parameter sensor group and an intelligent analysis module; the coordinated control execution subsystem includes a turbine power regulation module and a boiler combustion rate optimization module; The water wall throttle adjustment system includes a hydrodynamic calculation subsystem and a throttle adjustment execution subsystem; the hydrodynamic calculation subsystem includes a modeling module and a flow analysis module; the throttle adjustment execution subsystem includes an aperture adjustment mechanism and a test verification module; The central control and data processing center includes a data integration platform, an intelligent decision-making engine and a human-computer interaction interface, which are used to realize data interaction and collaborative control of various systems.

2. A boiler water wall tube temperature control system according to claim 1, characterized in that: The sampling frequency of the temperature sensor array is not less than 10 times / second.

3. A boiler water wall tube temperature control system according to claim 1, characterized in that: The adjustment accuracy of the electric regulating valve group reaches ±0.5% opening.

4. A boiler water wall tube temperature control system according to claim 1, characterized in that: The construction of the hydrodynamic calculation model is based on the finite element analysis method.

5. The boiler water wall tube temperature control system according to claim 1, characterized in that: The human-computer interaction interface adopts a touch screen display device.

6. A method for controlling the temperature between water-cooled wall tubes of a boiler, based on a temperature control system between water-cooled wall tubes of a boiler according to any one of claims 1 to 5, characterized in that: The following steps are involved: The wall temperature monitoring subsystem of the operation and combustion adjustment control system collects wall temperature data and transmits it to the central control and data processing center. The combustion parameter control subsystem adjusts fuel distribution, secondary air ratio and furnace negative pressure to control the temperature deviation between water-cooled wall tubes. The data acquisition and analysis subsystem of the unit coordinated optimization control system collects operating parameters and predicts temperature change trends. The coordinated control execution subsystem adjusts the turbine power and boiler combustion rate to control the wall temperature change rate. The flow distribution is analyzed using the hydrodynamic calculation subsystem of the water-cooled wall throttle hole adjustment system, and the throttle hole diameter is adjusted and the effect is verified through the throttle hole adjustment execution subsystem. The central control and data processing center integrates data from various systems, generates control instructions, and realizes data interaction and collaborative control of various systems.

7. A method for controlling the temperature between water-cooled wall tubes of a boiler according to claim 6, characterized in that: The operation and combustion adjustment control system transmits the monitoring data of the wall temperature between the water-cooled wall tubes to the central control and data processing center in real time, and the intelligent decision-making engine generates combustion parameter control instructions.

8. The method for controlling the temperature between water-cooled wall tubes of a boiler according to claim 6, characterized in that: When the unit coordinated optimization control system predicts load fluctuations, it starts the turbine power regulation module and the boiler combustion rate optimization module 5-10 seconds in advance for pre-adjustment.

9. The method for controlling the temperature between water-cooled wall tubes of a boiler according to claim 6, characterized in that: When the water-cooled wall throttle hole adjustment system performs hydrodynamic calculations, each time the throttle hole diameter is adjusted, the hydrodynamic calculation simulation is re-performed at least three times.

10. The method for controlling the temperature between boiler water wall tubes according to claim 6, characterized in that: The central control and data processing center displays the operating status data of each system in real time through a human-computer interaction interface, and supports operators to manually intervene and adjust control parameters.

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