Soot blowing control method and device of boiler, electronic equipment and storage medium

Abstract

The invention relates to a soot blowing control method and device for a boiler, electronic equipment and a storage medium, and the method comprises the steps that current state data of at least one heating surface of a target boiler are obtained; calculating a heat transfer coefficient of each heating surface based on the current state data, and matching a corresponding contamination level for each heating surface based on the heat transfer coefficient; and an overall soot blowing strategy, meeting the preset operation efficiency requirement, of the target boiler is determined based on the contamination level of each heated surface, and the target boiler is controlled to execute corresponding soot blowing actions through the overall soot blowing strategy. Therefore, the technical problems that in the related technology, the manual soot blowing control workload is large, the soot cleaning effect is difficult to guarantee, under the condition that the boiler operation state cannot be accurately judged, the soot cleaning effect is difficult to guarantee through automatic soot cleaning, and the boiler operation efficiency is likely to be affected are solved.

Description

Technical Field

[0001] The present application relates to the technical field of boilers, and particularly relates to a soot blowing control method, device, electronic device and storage medium for a boiler. Background Art

[0002] During the operation of a boiler, ash generated by fuel combustion will deposit on the heating surface of the boiler, forming ash deposits, which affect the heat transfer efficiency of the boiler and may even cause the boiler to shut down in severe cases. Therefore, how to effectively prevent and remove boiler ash deposits and improve the operation efficiency of the boiler has been a problem studied in the technical field of boilers.

[0003] In related technologies, the soot blower can be manually controlled to clean the ash of the boiler regularly or irregularly to maintain the normal operation of the boiler, or by changing the design or operation parameters of the boiler, such as adding a soot blowing device, adjusting the combustion mode, etc., to reduce the ash deposits of the boiler.

[0004] However, in related technologies, manual control of ash cleaning not only has a large workload, but also the ash cleaning effect is difficult to guarantee, and sometimes it may even damage the boiler. Since it is difficult to accurately determine the operation state of the boiler, the automatic ash cleaning device often cannot accurately control the position and time of ash cleaning, resulting in poor ash cleaning effect and wasting a large amount of energy, which needs to be improved. Summary of the Invention

[0005] The present application provides a soot blowing control method, device, electronic device and storage medium for a boiler to solve the technical problems in related technologies that manual control of soot blowing has a large workload and it is difficult to guarantee the ash cleaning effect, and in the case of unable to accurately determine the operation state of the boiler, automatic ash cleaning is also difficult to guarantee the ash cleaning effect, which is likely to affect the operation efficiency of the boiler.

[0006] The first aspect embodiment of the present application provides a soot blowing control method for a boiler, including the following steps: obtaining the current state data of at least one heating surface of a target boiler; calculating the heat transfer coefficient of each heating surface based on the current state data to match a corresponding fouling level for each heating surface based on the heat transfer coefficient; determining an overall soot blowing strategy for the target boiler that meets the preset operation efficiency requirement based on the fouling level of each heating surface, and controlling the target boiler to perform corresponding soot blowing actions using the overall soot blowing strategy.

[0007] Optionally, in an embodiment of the present application, the calculating the heat transfer coefficient of each heating surface based on the current state data includes: obtaining the flue gas side inlet and outlet temperatures and the working medium side inlet and outlet temperatures in the current state data of any heating surface; calculating the flue gas heat release using the flue gas side inlet and outlet temperatures; calculating the working medium side heat absorption using the working medium side inlet and outlet temperatures; calculating the heat transfer coefficient of the any heating surface using the flue gas heat release and the working medium side heat absorption.

[0008] Optionally, in an embodiment of the present application, after using the overall soot blowing strategy to control the target boiler to perform corresponding soot blowing actions, it further includes: updating the current state data of the at least one heating surface to obtain the corresponding actual flue gas temperature; calculating the operating efficiency using the actual flue gas temperature.

[0009] Optionally, in an embodiment of the present application, the determining the overall soot blowing strategy of the target boiler to meet the preset operating efficiency requirement based on the fouling level of each heating surface includes: determining the soot blowing area of the target boiler based on the fouling level, and dividing the soot blowing area into different soot blowing intensity areas using the fouling level; matching a corresponding soot blowing device and soot blowing intensity for each soot blowing intensity area, so as to generate the overall soot blowing strategy based on the soot blowing device and the soot blowing intensity.

[0010] Optionally, in an embodiment of the present application, the determining the overall soot blowing strategy of the target boiler to meet the preset operating efficiency requirement based on the fouling level of each heating surface includes: inputting the fouling level into the soot blowing model to output the overall soot blowing strategy, where the soot blowing model is constructed from the historical operating efficiency of the target boiler, the historical fouling level of each heating surface, and the corresponding historical soot blowing strategy.

[0011] Optionally, in an embodiment of the present application, after using the overall soot blowing strategy to control the target boiler to perform corresponding soot blowing actions, it further includes: calculating the actual operating efficiency of the target boiler within a preset time period; determining whether the actual operating efficiency meets the preset efficiency requirement; if the actual operating efficiency does not meet the preset efficiency requirement, then updating the fouling level of each heating surface, optimizing the overall soot blowing strategy using the updated fouling level until the actual operating efficiency meets the preset efficiency requirement; optimizing the soot blowing model using the overall soot blowing strategy, the optimized overall soot blowing strategy, the current state data, the soot blowing level, and the updated soot blowing level.

[0012] An embodiment of the second aspect of the present application provides a soot blowing control device for a boiler, including: an acquisition module, configured to acquire the current state data of at least one heating surface of a target boiler; a matching module, configured to calculate the heat transfer coefficient of each heating surface based on the current state data, so as to match a corresponding fouling level for each heating surface based on the heat transfer coefficient; a control module, configured to determine the overall soot blowing strategy of the target boiler to meet the preset operating efficiency requirement based on the fouling level of each heating surface, and use the overall soot blowing strategy to control the target boiler to perform corresponding soot blowing actions.

[0013] Optionally, in an embodiment of the present application, the matching module includes: an acquisition unit configured to acquire the flue gas side inlet and outlet temperatures and the working medium side inlet and outlet temperatures in the current state data of any heating surface; a first calculation unit configured to calculate the heat release of the flue gas by using the flue gas side inlet and outlet temperatures; a second calculation unit configured to calculate the heat absorption on the working medium side by using the working medium side inlet and outlet temperatures; and a third calculation unit configured to calculate the heat transfer coefficient of any heating surface by using the heat release of the flue gas and the heat absorption on the working medium side.

[0014] Optionally, in an embodiment of the present application, it further includes: an update module configured to update the current state data of at least one heating surface to obtain the corresponding actual flue gas discharge temperature; and a first calculation module configured to calculate the operating efficiency by using the actual flue gas discharge temperature.

[0015] Optionally, in an embodiment of the present application, the control module includes: a division unit configured to determine the soot blowing area of the target boiler based on the fouling level, and divide the soot blowing area into different soot blowing intensity areas by using the fouling level; and a generation unit configured to match a corresponding soot blowing device and soot blowing intensity for each soot blowing intensity area, so as to generate the overall soot blowing strategy based on the soot blowing device and the soot blowing intensity.

[0016] Optionally, in an embodiment of the present application, the control module includes: a fourth calculation unit configured to input the fouling level into the soot blowing model to output the overall soot blowing strategy, where the soot blowing model is constructed from the historical operating efficiency of the target boiler, the historical fouling levels of each heating surface, and the corresponding historical soot blowing strategies.

[0017] Optionally, in an embodiment of the present application, it further includes: a second calculation module configured to calculate the actual operating efficiency of the target boiler within a preset time period; a judgment module configured to judge whether the actual operating efficiency meets the preset efficiency requirement; a first optimization module configured to update the fouling level of each heating surface when the actual operating efficiency does not meet the preset efficiency requirement, and optimize the overall soot blowing strategy by using the updated fouling level until the actual operating efficiency meets the preset efficiency requirement; and a second optimization module configured to optimize the soot blowing model by using the overall soot blowing strategy, the optimized overall soot blowing strategy, the current state data, the soot blowing level, and the updated soot blowing level.

[0018] An embodiment of the third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the soot blowing control method of the boiler as described in the above embodiment.

[0019] The fourth aspect of the present application provides a computer-readable storage medium storing computer instructions for causing a computer to execute the soot blowing control method of a boiler as described in the above embodiments.

[0020] The fifth aspect of the present application provides a computer program product including a computer program which, when executed, is used to implement the soot blowing control method of a boiler as above.

[0021] The embodiments of the present application can calculate the heat transfer coefficient of each heating surface according to the current state data of the heating surface of the target boiler to accurately obtain the operating state of the target boiler and the corresponding fouling level, and then determine the overall soot blowing strategy of the target boiler to meet the preset operating efficiency requirements according to the fouling level of each heating surface, so as to control the target boiler to perform corresponding soot blowing actions, dynamically adjust the position and intensity of the soot blower, ensure the accuracy of the soot blowing operation, avoid waste and over-soot blowing, and intelligently control the soot blowing area. Thus, the technical problems in the related art are solved, where the manual control of soot blowing has a large workload and it is difficult to ensure the soot cleaning effect, and in the case where the operating state of the boiler cannot be accurately determined, the automatic soot cleaning is also difficult to ensure the soot cleaning effect, which easily affects the operating efficiency of the boiler.

[0022] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0024] Figure 1 is a flowchart of a soot blowing control method of a boiler according to an embodiment of the present application;

[0025] Figure 2a is a schematic diagram of the layout of data acquisition measuring points according to an embodiment of the present application;

[0026] Figure 2b is a partial schematic diagram of the layout of data acquisition measuring points according to an embodiment of the present application;

[0027] Figure 2c is a partial schematic diagram of the layout of data acquisition measuring points according to another embodiment of the present application;

[0028] Figure 3 is a flowchart of a soot blowing control method of a boiler according to an embodiment of the present application;

[0029] Figure 4The top view of the modeling of the target boiler provided according to an embodiment of the present application;

[0030] Figure 5 The longitudinal sectional view of the modeling of the target boiler provided according to an embodiment of the present application;

[0031] Figure 6 The schematic diagram of the fouling level - soot blowing strategy matching provided according to an embodiment of the present application;

[0032] Figure 7 The schematic structural diagram of a soot blowing control device for a boiler provided according to an embodiment of the present application;

[0033] Figure 8 The schematic structural diagram of an electronic device provided according to an embodiment of the present application. Detailed implementation manners

[0034] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present application, but should not be construed as limiting the present application.

[0035] The soot blowing control method, device, electronic device and storage medium of the boiler according to the embodiments of the present application will be described below with reference to the drawings. In view of the technical problems in the related art mentioned in the above background art that the manual control of soot blowing has a large workload and it is difficult to ensure the soot cleaning effect, and in the case where the operating state of the boiler cannot be accurately determined, the automatic soot cleaning is also difficult to ensure the soot cleaning effect and easily affects the operating efficiency of the boiler, the present application provides a soot blowing control method for a boiler. In this method, the heat transfer coefficient of each heating surface can be calculated according to the current state data of the heating surface of the target boiler to accurately obtain the operating state of the target boiler and the corresponding fouling level, and then the overall soot blowing strategy that meets the preset operating efficiency requirements of the target boiler can be determined according to the fouling level of each heating surface, so as to control the target boiler to perform the corresponding soot blowing action, dynamically adjust the position and intensity of the soot blower, ensure the accuracy of the soot blowing operation, avoid waste and over - soot blowing, and intelligently control the soot blowing area. Thus, the technical problems in the related art that the manual control of soot blowing has a large workload and it is difficult to ensure the soot cleaning effect, and in the case where the operating state of the boiler cannot be accurately determined, the automatic soot cleaning is also difficult to ensure the soot cleaning effect and easily affects the operating efficiency of the boiler are solved.

[0036] Specifically, Figure 1 The flowchart of a soot blowing control method for a boiler provided by an embodiment of the present application.

[0037] As Figure 1 shown, the soot blowing control method for the boiler includes the following steps:

[0038] In step S101, obtain the current state data of at least one heating surface of the target boiler.

[0039] In the actual implementation process, embodiments of the present application can set sensors on each heating surface of the target boiler to obtain the current state data. Among them, the installation points of the sensors can be as Figures 2a to 2c shown, where Figure 2a is a complete view of the installation points of the sensors, Figure 2b and Figure 2c is a partial enlarged schematic diagram. The layout names of the installation points can be as shown in Table 1, where Table 1 is a comparison table of installation points - names.

[0040] Table 1

[0041] Number Name Number Name 1 Inlet of platen superheater (working medium side) 2 Outlet of platen superheater (working medium side) 3 Inlet of high-temperature superheater (working medium side) 4 Outlet of high-temperature superheater (working medium side) 5 Outlet of high-temperature reheater (working medium side) 6 Inlet of high-temperature reheater (working medium side) 7 Outlet of low-temperature superheater (working medium side) 8 Inlet of low-temperature superheater (working medium side) 9 Inlet of low-temperature reheater (working medium side) 10 Outlet of economizer on the side of low-temperature reheater (working medium side) 11 Inlet of economizer on the side of low-temperature reheater (working medium side) 12 Outlet of economizer on the side of low-temperature superheater (working medium side) 13 Inlet of economizer on the side of low-temperature superheater (working medium side) Y1 Inlet of platen superheater (flue gas side) Y2 Outlet of platen superheater (flue gas side) Y3 Outlet of high-temperature superheater (flue gas side) Y4 Outlet of high-temperature reheater (flue gas side) Y5 Inlet of low-temperature superheater (flue gas side) Y6 Outlet of low-temperature superheater (flue gas side) Y7 Outlet of economizer on the side of low-temperature superheater (flue gas side) Y8 Outlet of low-temperature reheater (flue gas side) Y9 Outlet of economizer on the side of low-temperature reheater (flue gas side) <![CDATA[M Y > Mass flow rate on the flue gas side <![CDATA[M g > Mass flow rate on the working medium side

[0042] Based on the above structure, embodiments of the present application can use high-precision temperature and pressure sensors to measure the temperature and pressure on the working medium side and flue gas side of the target boiler in real time, so as to obtain the actual working state of each heating surface of the boiler, and provide accurate data support for subsequent fouling and slagging judgment and the control of steam soot blowers.

[0043] In step S102, calculate the heat transfer coefficient of each heating surface based on the current state data, so as to match the corresponding fouling level for each heating surface based on the heat transfer coefficient.

[0044] Further, embodiments of the present application can calculate the heat transfer coefficient of each heating surface through the current state data. For example, based on the temperature data and pressure data in the current state data of each heating surface, calculate the total heat transfer coefficient of each heating surface of the target boiler. Among them, before performing data calculation, embodiments of the present application can also preprocess the obtained current state data, such as filtering abnormal data using a low-pass filtering method to ensure the accuracy of the calculation results.

[0045] According to the heat transfer coefficient, embodiments of the present application can dynamically determine the fouling degree of each heating surface of the target boiler, that is, the fouling level.

[0046] It should be noted that for different fuel varieties, the corresponding fouling degree matching is different. For fuels with strong fouling properties, the threshold of the heat transfer coefficient corresponding to each fouling level can be reduced to avoid difficult-to-clean deposits caused by failure to soot blow in time, thereby affecting the operation efficiency of the boiler.

[0047] Optionally, in an embodiment of the present application, calculating the heat transfer coefficient of each heating surface based on the current state data includes: obtaining the flue gas side inlet and outlet temperatures and the working medium side inlet and outlet temperatures in the current state data of any heating surface; calculating the heat release of the flue gas using the flue gas side inlet and outlet temperatures; calculating the heat absorption of the working medium side using the working medium side inlet and outlet temperatures; and calculating the heat transfer coefficient of any heating surface using the heat release of the flue gas and the heat absorption of the working medium side.

[0048] In some embodiments, the heat transfer coefficient can be calculated using the following formula:

[0049] K = Q y / Q g (1)

[0050] Wherein, Q y is the heat transfer amount of the flue gas, and Q g is the heat transfer amount of the working medium.

[0051] Determine the heat transfer amount of the flue gas based on the flue gas side inlet and outlet temperatures of each heating surface:

[0052] Q y = M y *(H y,in - H y,out )(2)

[0053] Wherein, M y is the flue gas flow rate, in kg / h; H y,in is the enthalpy value at the flue gas side inlet of the heating surface, in kJ / kg; H y,out is the enthalpy value at the flue gas side outlet of the heating surface, in kJ / kg.

[0054] Determine the heat transfer amount of the working medium based on the working medium side inlet and outlet temperatures of each heating surface:

[0055] Q g = M g *(H g,in - H g,out )(3)

[0056] Wherein, M g is the mass flow rate of the working medium, in kg / h; H g,in is the enthalpy value at the working medium side inlet of the heating surface, in kJ / kg; H g,out is the enthalpy value at the working medium side outlet of the heating surface, in kJ / kg.

[0057] In step S103, determine the overall soot blowing strategy of the target boiler that meets the preset operating efficiency requirement based on the fouling level of each heating surface, and use the overall soot blowing strategy to control the target boiler to perform corresponding soot blowing actions.

[0058] It can be understood that during the operation of the boiler, the ash generated by fuel combustion will deposit on the boiler heating surface, forming fouling, which affects the heat transfer efficiency of the boiler. In severe cases, it may even cause the boiler to shut down. To ensure the operation efficiency of the target boiler and avoid waste of resources, the embodiments of the present application can determine the corresponding overall soot blowing strategy based on the dynamically determined fouling level, so as to make dynamic adjustments according to the actual situation of the target boiler, enabling the target boiler to complete the soot blowing operation in a timely manner to ensure the operation efficiency of the target boiler.

[0059] Among them, under different fouling levels, according to the overall soot blowing strategy, the embodiments of the present application can confirm different soot blowing areas, soot blowing intensities, soot blowing methods, etc., to avoid waste and excessive soot blowing.

[0060] Optionally, in an embodiment of the present application, after using the overall soot blowing strategy to control the target boiler to perform the corresponding soot blowing action, it further includes: updating the current state data of at least one heating surface to obtain the corresponding actual flue gas temperature; calculating the operation efficiency using the actual flue gas temperature.

[0061] After considering the impact of the flue gas temperature on the boiler efficiency, in the calculation process of the boiler efficiency, the impact of the flue gas temperature on the heat carried away by the dry flue gas can be as follows:

[0062] Q 2.fg.d =V fg.d.AH.lv c p.fg.d (t fg.d.AH.lv -t re )(4)

[0063] Among them, V fg.d.AH.lv is the volume of dry flue gas at the outlet of the air preheater generated by the combustion of each kilogram (standard cubic meter) of fuel, with the unit of m 3 / kg; c p.fg.d is the specific heat capacity at constant pressure of the dry flue gas from t re to t fg.d.AH.lv , with the unit of kJ / (m 3 ·K) or m 3 / m 3 ; t fg.d.AH.lv is the flue gas temperature at the outlet of the air preheater, with the unit of °C; t re is the reference temperature, with the unit of °C.

[0064] Since the oxygen content in the flue gas does not change, V fg.d.AH.lv , c p.fg.d and t re are all fixed values. For this reason, the change in the flue gas temperature can directly affect the boiler efficiency through formula (4).

[0065] When the number of heating surfaces is one, the embodiments of the present application can measure the actual flue gas temperature corresponding to the heating surface. When the number of heating surfaces is not one, the current state data of each heating surface can be updated respectively to obtain the actual flue gas temperature corresponding to each heating surface.

[0066] Optionally, in an embodiment of the present application, an overall soot blowing strategy for a target boiler to meet the preset operation efficiency requirement is determined based on the fouling level of each heating surface, including: determining the soot blowing area of the target boiler based on the fouling level, and dividing the soot blowing area into different soot blowing intensity areas by using the fouling level; matching a corresponding soot blowing device and soot blowing intensity for each soot blowing intensity area, so as to generate an overall soot blowing strategy based on the soot blowing device and the soot blowing intensity.

[0067] In the actual execution process, the embodiments of the present application can determine the corresponding soot blowing area according to the fouling level of each heating surface, and then dynamically adjust the position and soot blowing intensity of the soot blowing device. For example, in the soot blowing intensity area with a light fouling level, single-point soot blowing can be performed. In the soot blowing intensity area with a moderate fouling level, partial soot blowing can be performed. In the soot blowing intensity area with a heavy fouling level, overall soot blowing can be performed, etc.

[0068] Similarly, according to different fuels, the embodiments of the present application can adjust the soot blowing intensity of different soot blowing intensity areas according to different fuel varieties. For fuels with strong fouling properties, the soot blowing intensity is appropriately increased. Among them, the corresponding relationship between the soot blowing intensity and the fuel variety can be obtained by using big data analysis or historical data analysis of the target boiler.

[0069] Optionally, in an embodiment of the present application, an overall soot blowing strategy for a target boiler to meet the preset operation efficiency requirement is determined based on the fouling level of each heating surface, including: inputting the fouling level into a soot blowing model to output an overall soot blowing strategy, where the soot blowing model is constructed from the historical operation efficiency of the target boiler, the historical fouling level of each heating surface, and the corresponding historical soot blowing strategy.

[0070] As a possible implementation manner, the embodiments of the present application can construct a soot blowing model, such as using a set of historical data of each heating surface of the target boiler. Among them, the historical heat transfer coefficient and historical operation efficiency are calculated from the historical state data in the historical data, and the corresponding fouling level is determined through the judgment of technicians. Then, the corresponding historical soot blowing strategy is combined to perform soot blowing on the target boiler. After soot blowing, the fouling level is judged again to re-evaluate the coefficient of the historical soot blowing strategy according to the fouling level after soot blowing and the historical operation efficiency before and after soot blowing, so as to complete the training of the soot blowing model by using this set of historical data. Through the training of multiple sets of historical data, the accuracy of the soot blowing model of the embodiments of the present application can be higher and more in line with the actual working conditions of the target boiler.

[0071] Among them, when the model is trained, the operating efficiency of the boiler can be used to verify the fouling degree of the boiler heating surface. For example, when the fouling is mild, the boiler efficiency is relatively high; when the fouling is severe, the boiler efficiency decreases. Based on the degree of change in the boiler efficiency, it is possible to dialectically determine which soot blowing strategy to execute under which fouling level. The soot blowing strategy may include soot blowing frequency, soot blowing degree, soot blowing position, etc.

[0072] That is to say, the embodiments of the present application can perform model training and optimization according to the changes in the historical operating efficiency under the influence of the historical soot blowing strategy in each group of historical data, so that the trained model can be used to output an overall soot blowing strategy that better meets the actual soot blowing requirements of the target boiler.

[0073] After the model training is completed, the embodiments of the present application can input the current fouling level into the soot blowing model to output the corresponding overall soot blowing strategy.

[0074] Optionally, in an embodiment of the present application, after using the overall soot blowing strategy to control the target boiler to perform the corresponding soot blowing action, it further includes: within a preset time period, calculating the actual operating efficiency of the target boiler; determining whether the actual operating efficiency meets the preset efficiency requirement; if the actual operating efficiency does not meet the preset efficiency requirement, updating the fouling level of each heating surface, and optimizing the overall soot blowing strategy using the updated fouling level until the actual operating efficiency meets the preset efficiency requirement; optimizing the soot blowing model using the overall soot blowing strategy, the optimized overall soot blowing strategy, the current state data, the soot blowing level, and the updated soot blowing level.

[0075] Furthermore, the embodiments of the present application can calculate the actual operating efficiency of the target boiler within a period of time after the soot blowing action is performed to determine the effect of the overall soot blowing strategy on the target boiler. The method for determining the effect may include various types. For example, it can be determined by the difference in the state data before and after soot blowing, by comparing the actual operating efficiency with the expected efficiency, or by comparing the state data after soot blowing with the expected state data, etc.

[0076] Taking the determination of the actual operating efficiency as an example, the embodiments of the present application can calculate the actual operating efficiency using the state data after soot blowing and determine whether the actual operating efficiency is greater than or equal to a certain efficiency requirement, so as to reflect the fouling state of the target boiler after the overall soot blowing strategy is executed through the actual operating efficiency. The efficiency requirement can be set accordingly by those skilled in the art according to the actual situation of the target boiler, etc.

[0077] When the actual operating efficiency fails to meet the efficiency requirement, the embodiments of the present application can adjust the overall soot blowing strategy. For example, the heat transfer coefficient can be recalculated based on the new state parameters of each heated surface after soot blowing, and the new fouling level can be matched. Then, the soot blowing intensity in different regions can be adjusted according to the new fouling level until the actual operating efficiency meets the efficiency requirement.

[0078] At this time, the embodiments of the present application can update the soot blowing model by combining the overall soot blowing strategy that fails to meet the efficiency requirement, the adjusted new soot blowing strategy, and the corresponding state data, etc., so as to optimize and adjust the soot blowing frequency, position, etc., confirm the optimal soot blowing method and operating state, realize data feedback and model optimization, and improve the accuracy of the soot blowing model during the continuous operation of the target boiler.

[0079] Combined with FIG. 2 to Figure 5 As shown, the working principle of the soot blowing control method for the boiler in the embodiments of the present application will be elaborated in detail with an example.

[0080] As Figure 3 shown, the embodiments of the present application may include the following steps:

[0081] Step S301: Data measurement. As Figures 2a to 2c shown, the embodiments of the present application can set temperature and pressure measurement points at the punctuation positions of the target boiler, and use high-precision temperature and pressure sensors. Specifically, the corresponding relationship between the position names and numbers can be shown in Table 1.

[0082] The embodiments of the present application can use high-precision temperature and pressure sensors to measure the temperature and pressure on the working medium side and the flue gas side of the boiler in real time, obtain the current state parameters, so as to obtain the actual working state of each heated surface of the boiler, and provide accurate data support for subsequent ash fouling judgment and control of the steam soot blower.

[0083] Among them, the embodiments of the present application can determine the heat release of the flue gas based on the inlet and outlet temperatures of the flue gas side of each heated surface; and can determine the heat of the working medium system based on the inlet and outlet temperatures of the working medium side of each heated surface.

[0084] Step S302: Data storage and processing. It is measured and stored in real time through high-precision temperature sensors and pressure sensors, processed once every 30 minutes, data analysis is carried out, and the temperature and pressure data on the working medium side of the target boiler are preprocessed by the low-pass filtering method. Through regular collection and preprocessing methods, the stability and reliability of the data are ensured, thereby reducing the influence of noise on the subsequent analysis results.

[0085] Step S303: Data analysis. Data analysis and calculation are carried out on the effective data after data processing. According to the collected temperature and pressure data, the total heat transfer coefficient of each heated surface of the boiler is calculated.

[0086] In some embodiments, the heat transfer coefficient can be calculated using the following formula:

[0087] K = Q y / Q g (1)

[0088] where Q y is the flue gas heat transfer amount, and Q g is the working medium heat transfer amount.

[0089] Based on the inlet and outlet temperatures of the flue gas side of each heating surface, the flue gas heat transfer amount is determined:

[0090] Q y = M y *(H y,in - H y,out )(2)

[0091] where M y is the flue gas flow rate, in kg / h; H y,in is the enthalpy value at the inlet of the flue gas side of the heating surface, in kJ / kg; H y,out is the enthalpy value at the outlet of the flue gas side of the heating surface, in kJ / kg.

[0092] Based on the inlet and outlet temperatures of the working medium side of each heating surface, the working medium heat transfer amount is determined:

[0093] Q g = M g *(H g,in - H g,out )(3)

[0094] where M g is the mass flow rate of the working medium, in kg / h; H g,in is the enthalpy value at the inlet of the working medium side of the heating surface, in kJ / kg; H g,out is the enthalpy value at the outlet of the working medium side of the heating surface, in kJ / kg.

[0095] Based on the change of the heat transfer coefficient, the fouling and slagging conditions of each heating surface of the boiler are dynamically judged, providing a scientific basis for accurately controlling the soot blower.

[0096] According to the heat transfer coefficient, the fouling level matching can be performed in the embodiments of the present application.

[0097] In the actual implementation process, taking actual data as an example, the embodiments of the present application can match the heat transfer coefficient and the fouling level. Among them, the actual data can be as shown in Table 2, and Table 2 is the data summary table of the final superheater in the embodiment.

[0098] Table 2

[0099]

[0100] Among them, the measured values in the embodiments are the parameters measured during the operation of the boiler, that is, the state data. The fouling level can be obtained according to the boiler efficiency and the fouling degree of the boiler heating surface changing with time during the operation of the boiler determined by observing the heating surface situation on site manually.

[0101] Among them, the flue gas heat transfer amount, that is, the heat transfer coefficient on the flue gas side: after the real-time measurement data of the boiler is processed, the enthalpy values of the flue gas at the inlet and outlet on the flue gas side are found using the enthalpy-entropy diagram, and the flue gas heat transfer amount is calculated using formula (2); similarly, the working medium heat transfer amount, that is, the heat transfer coefficient on the working medium side can be calculated through formula (3).

[0102] Furthermore, the embodiments of the present application consider the influence of the flue gas temperature on the boiler efficiency. During the calculation of the boiler efficiency, the influence of the flue gas temperature on the heat carried away by the dry flue gas is shown in detail in formula (4):

[0103] Q 2.fg.d =V fg.d.AH.lv c p.fg.d (t fg.d.AH.lv -t re )(4)

[0104] Among them, V fg.d.AH.lv is the volume of dry flue gas at the outlet of the air preheater generated by the combustion of each kilogram (standard cubic meter) of fuel, with the unit of m 3 / kg; c p.fg.d is the specific heat capacity at constant pressure of the dry flue gas from t re to t fg.d.AH.lv , with the unit of kJ / (m 3 ·K) or m 3 / m 3 ; t fg.d.AH.lv is the flue gas temperature at the outlet of the air preheater, with the unit of °C; t re is the reference temperature, with the unit of °C.

[0105] Since the oxygen content in the flue gas discharged does not change, V fg.d.AH.lv , c p.fg.d and t re among them are all fixed values. Because of this, the change in the flue gas temperature can directly act on the boiler efficiency through formula (4).

[0106] Step S304: Data modeling. The embodiments of the present application can accurately measure and calculate the heat transfer coefficients of each part of the heating surface of the target boiler, and perform digital modeling based on the obtained data, reflecting the fouling situation of each heating surface of the boiler in Figure 2a , and intelligently control the soot blowing area to obtain the modeling diagrams as shown in Figure 4 and Figure 5 , among which, Figure 4is a top view, Figure 5 is a longitudinal sectional view. Among them, Figure 4 and Figure 5 the correspondence between the numbers and names in can be as shown in Table 3, and Table 3 is a number-name correspondence table.

[0107] Table 3

[0108]

[0109] Combining sensor data and the heat transfer coefficient model, the embodiments of the present application can dynamically adjust the position and blowing intensity of the soot blower, ensure the accuracy of the soot blowing operation, avoid waste and over-soot blowing, and intelligently control the soot blowing area. The technology of intelligently controlling the soot blower through digital modeling and real-time monitoring of the heat transfer coefficient can accurately locate the soot blowing area and avoid the problems of waste and over-soot blowing in the traditional method.

[0110] Step S305: Determine the overall soot blowing strategy.

[0111] The embodiments of the present application can determine the overall soot blowing strategy through the constructed soot blowing model, or can determine the states of each area during the operation of the boiler through the digital modeling of the target boiler.

[0112] For example, as Figure 6 shown, the embodiments of the present application can determine the corresponding soot blowing strategy according to the fouling situation.

[0113] Taking the data in Table 2 as an example: The embodiments of the present application can calculate the data in Table 2 through data analysis, and the values obtained based on the heat transfer coefficient are displayed at 3L and 3R in Figure 4 . Among the three measurement data, when the heat transfer coefficient is 0.18, it can be judged as a mild fouling level, and at this time, only the soot blower for the final superheater part needs to be started; when the heat transfer coefficient is 0.29, it is judged as a moderate fouling level. Under the moderate fouling level, the boiler efficiency has been greatly affected, and all the soot blowers for the final superheater part need to be operated; when the heat transfer coefficient is 0.46, it is also judged as a severe fouling level, and at this time, the overall soot blowing of the boiler should be carried out.

[0114] In Figure 4 3L and 3R of, if only the heat transfer coefficient of 3L reaches the value of 0.18, and the heat transfer coefficient of 3R does not reach the value of 0.18, then only the soot blower at the 3L part needs to be started at this time.

[0115] Step S306: Execute the soot blowing action.

[0116] Step S307: Feedback and Optimization. Based on digital modeling, a closed-loop control system is formed to collect the variation laws of the target boiler operation and the boiler heat transfer after soot blowing, conduct big data analysis, and provide a more optimized soot blowing method for subsequent boiler soot blowing. Meanwhile, the operation status of the boiler is monitored in real time to promptly detect and handle the problems of ash accumulation and coking. If there are enough measurement points, a three-dimensional visual model can be established, and a heat flux density map can be formed through numerical values and colors (heat flux density, also known as heat flux density, is the amount of heat passing through per unit area, expressed as W / m 2 . This parameter can be used to describe the amount of heat transferred per unit area per unit time during the heat transfer process.) to more intuitively reflect the health status of the boiler.

[0117] The embodiment of the present application can automatically adjust the operation status of the soot blower according to the real-time heat transfer coefficient data.

[0118] During the actual execution process, the embodiment of the present application can include an adaptive algorithm: adaptively adjust the soot blowing timing and intensity according to the real-time load, flue gas temperature, pressure and other operating conditions of the boiler; regional priority control: for the areas with lower heat transfer coefficients, start the soot blower preferentially to ensure the restoration of the heat exchange capacity in this area; data feedback and optimization: according to the effect after soot blowing, feedback data in real time and further optimize the soot blowing strategy to achieve precision and efficiency. A boiler health detection system with real-time monitoring and feedback is formed to automatically detect and handle the problems of ash accumulation and coking, intelligently optimize the soot blowing strategy, avoid manual intervention, ensure the efficiency and pertinence of the soot blowing process, dynamically adjust the frequency and intensity of soot blowing in combination with the change of the heat transfer coefficient, intelligently control the soot blowing area, reduce energy waste and equipment loss, and significantly improve the operation efficiency and service life of the boiler.

[0119] In summary, the embodiment of the present application can include the following beneficial effects:

[0120] Intelligent control: The embodiment of the present application can calculate the heat transfer coefficients of each part of the boiler heating surface by measuring relevant data such as the temperature and pressure on the working medium side of the boiler, judge the ash accumulation and coking situation of the boiler, and intelligently control the functions of the steam soot blowers at the corresponding parts according to the ash accumulation and coking situation of the boiler, which can meet the positioning soot blowing and no longer use the traditional manual soot blowing method. This method can not only effectively prevent and remove the ash accumulation in the boiler, improve the operation efficiency of the boiler, but also avoid the problems of large workload and difficult-to-guarantee ash cleaning effect caused by manual ash cleaning. Moreover, through accurate real-time data acquisition, it can provide accurate data support for subsequent ash accumulation and coking judgment and the control of soot blowers, improving the monitoring ability of the boiler operation status.

[0121] Precise control: The embodiments of the present application can precisely control the position and time of soot blowing, avoiding the problem that the existing automatic soot blowing devices cannot precisely control the position and time of soot blowing, resulting in poor soot blowing effect, and also avoiding wasting a large amount of energy.

[0122] Accurate measurement: The embodiments of the present application can effectively evaluate the operating state of the boiler and provide a basis for the optimized operation of the boiler by accurately measuring the heat transfer coefficients of each part of the heating surface of the boiler and performing digital modeling based on the obtained heat transfer coefficients of the heating surface. And by using big data analysis technology, the whole process data tracking and analysis is carried out from the boiler operation data, ash accumulation situation to soot blowing effect, realizing the continuous optimization of the soot blowing strategy, improving the intelligent level of the system, and reducing manual intervention.

[0123] According to the soot blowing control method of the boiler proposed by the embodiments of the present application, the heat transfer coefficient of each heating surface can be calculated according to the current state data of the heating surface of the target boiler, so as to accurately obtain the operating state of the target boiler and the corresponding fouling level. Furthermore, according to the fouling level of each heating surface, the overall soot blowing strategy that meets the preset operating efficiency requirements of the target boiler can be determined, so as to control the target boiler to perform the corresponding soot blowing action, dynamically adjust the position and intensity of the soot blower, ensure the accuracy of the soot blowing operation, avoid waste and over soot blowing, and intelligently control the soot blowing area. Thus, the technical problems in the related art are solved, that is, the manual control of soot blowing has a large workload and it is difficult to ensure the soot blowing effect. In the case where the operating state of the boiler cannot be accurately determined, the automatic soot blowing is also difficult to ensure the soot blowing effect, which easily affects the operating efficiency of the boiler.

[0124] Next, the soot blowing control device of the boiler proposed by the embodiments of the present application will be described with reference to the accompanying drawings.

[0125] Figure 7 is a block diagram of the soot blowing control device of the boiler according to the embodiments of the present application.

[0126] As Figure 7 shown, the soot blowing control device 10 of the boiler includes: an acquisition module 100, a matching module 200, and a control module 300.

[0127] Specifically, the acquisition module 100 is configured to acquire the current state data of at least one heating surface of the target boiler.

[0128] The matching module 200 is configured to calculate the heat transfer coefficient of each heating surface based on the current state data, so as to match the corresponding fouling level for each heating surface based on the heat transfer coefficient.

[0129] The control module 300 is configured to determine the overall soot blowing strategy that meets the preset operating efficiency requirements of the target boiler based on the fouling level of each heating surface, and use the overall soot blowing strategy to control the target boiler to perform the corresponding soot blowing action.

[0130] Optionally, in an embodiment of the present application, the matching module 200 includes: an acquisition unit, a first calculation unit, a second calculation unit, and a third calculation unit.

[0131] Among them, the acquisition unit is used to acquire the flue gas side inlet and outlet temperatures and the working medium side inlet and outlet temperatures in the current state data of any heating surface.

[0132] The first calculation unit is used to calculate the flue gas heat release using the flue gas side inlet and outlet temperatures.

[0133] The second calculation unit is used to calculate the heat absorption on the working medium side using the working medium side inlet and outlet temperatures.

[0134] The third calculation unit is used to calculate the heat transfer coefficient of any heating surface using the flue gas heat release and the heat absorption on the working medium side.

[0135] Optionally, in an embodiment of the present application, the soot blowing control device 10 of the boiler further includes: an update module and a first calculation module.

[0136] Among them, the update module is used to update the current state data of at least one heating surface to obtain the corresponding actual flue gas discharge temperature.

[0137] The first calculation module is used to calculate the operating efficiency using the actual flue gas discharge temperature.

[0138] Optionally, in an embodiment of the present application, the control module 300 includes: a division unit and a generation unit.

[0139] Among them, the division unit is used to determine the soot blowing area of the target boiler based on the fouling level, and divide the soot blowing area into different soot blowing intensity areas using the fouling level.

[0140] The generation unit is used to match the corresponding soot blowing equipment and soot blowing intensity for each soot blowing intensity area, and generate an overall soot blowing strategy based on the soot blowing equipment and soot blowing intensity.

[0141] Optionally, in an embodiment of the present application, the control module 300 includes: a fourth calculation unit.

[0142] Among them, the fourth calculation unit is used to input the fouling level into the soot blowing model to output the overall soot blowing strategy, where the soot blowing model is constructed from the historical operating efficiency of the target boiler, the historical fouling levels of each heating surface, and the corresponding historical soot blowing strategies.

[0143] Optionally, in an embodiment of the present application, the soot blowing control device 10 of the boiler further includes: a second calculation module, a judgment module, a first optimization module, and a second optimization module.

[0144] Among them, the second calculation module is used to calculate the actual operation efficiency of the target boiler within a preset time period.

[0145] The judgment module is used to judge whether the actual operation efficiency meets the preset efficiency requirement.

[0146] The first optimization module is used to update the fouling level of each heating surface in the case that the actual operation efficiency does not meet the preset efficiency requirement, and optimize the overall soot blowing strategy by using the updated fouling level until the actual operation efficiency meets the preset efficiency requirement.

[0147] The second optimization module is used to optimize the soot blowing model by using the overall soot blowing strategy, the optimized overall soot blowing strategy, the current state data, the soot blowing level and the updated soot blowing level.

[0148] It should be noted that the foregoing explanation of the embodiment of the soot blowing control method for the boiler also applies to the soot blowing control device for the boiler in this embodiment, and will not be elaborated here.

[0149] According to the soot blowing control device for the boiler provided by the embodiment of the present application, the heat transfer coefficient of each heating surface can be calculated according to the current state data of the heating surface of the target boiler, so as to accurately obtain the operation state of the target boiler and the corresponding fouling level. Furthermore, the overall soot blowing strategy that meets the preset operation efficiency requirement of the target boiler can be determined according to the fouling level of each heating surface, so as to control the target boiler to perform corresponding soot blowing actions, dynamically adjust the position and intensity of the soot blower, ensure the accuracy of the soot blowing operation, avoid waste and excessive soot blowing, and intelligently control the soot blowing area. Thus, the technical problems in the related art are solved, where the manual control of soot blowing has a large workload and it is difficult to ensure the soot cleaning effect. In the case where the operation state of the boiler cannot be accurately determined, the automatic soot cleaning is also difficult to ensure the soot cleaning effect, which easily affects the operation efficiency of the boiler.

[0150] Figure 8 The following is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device may include:

[0151] A memory 801, a processor 802, and a computer program stored on the memory 801 and executable on the processor 802.

[0152] When the processor 802 executes the program, it implements the soot blowing control method for the boiler provided in the foregoing embodiment.

[0153] Furthermore, the electronic device further includes:

[0154] A communication interface 803 for communication between the memory 801 and the processor 802.

[0155] The memory 801 is used to store a computer program executable on the processor 802.

[0156] The memory 801 may include high-speed RAM memory and may also include non-volatile memory, such as at least one magnetic disk memory.

[0157] If the memory 801, the processor 802, and the communication interface 803 are implemented independently, the communication interface 803, the memory 801, and the processor 802 may be interconnected via a bus to complete communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 only a thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0158] Optionally, in a specific implementation, if the memory 801, the processor 802, and the communication interface 803 are integrated on a single chip, the memory 801, the processor 802, and the communication interface 803 may complete communication with each other through an internal interface.

[0159] The processor 802 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0160] This embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the soot blowing control method of the boiler as described above is implemented.

[0161] The embodiments of the present application also provide a computer program product, including a computer program, and when the computer program is executed by a processor, the soot blowing control method of the boiler provided by the embodiments of the present invention is implemented.

[0162] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0163] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0164] Any process or method description shown in the flowchart or described in other ways herein may be understood to represent a module, segment, or portion of code including one or N executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of this application includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in the reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of this application pertain.

[0165] The logic and / or steps represented in the flowchart or otherwise described herein can, for example, be considered as a definitional sequence list of executable instructions for implementing logical functions, which can be embodied specifically in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion (electronic device) having one or N wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then stored in a computer memory.

[0166] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0167] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0168] In addition, each functional unit in various embodiments of the present application may be integrated into a processing module, may exist separately as individual physical units, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0169] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A sootblowing control method for a boiler, characterized in that: The following steps are involved: Acquiring current state data of at least one heating surface of a target boiler; Calculating the heat transfer coefficient of each heating surface based on the current state data, so as to match a corresponding contamination level for each heating surface based on the heat transfer coefficient; An overall sootblowing strategy of the target boiler that meets a preset operating efficiency requirement is determined based on the contamination level of each heating surface, and the target boiler is controlled to perform a corresponding sootblowing action using the overall sootblowing strategy.

2. The method according to claim 1, characterized in that The calculating the heat transfer coefficient of each heating surface based on the current state data comprises: Obtain the inlet and outlet temperatures of the flue gas side and the inlet and outlet temperatures of the working fluid side from the current state data of any heating surface; Calculating the heat release of flue gas using the inlet and outlet temperatures of the flue gas side; Calculate the amount of heat absorbed by the working fluid side using the inlet and outlet temperatures of the working fluid side; The heat transfer coefficient of any heating surface is calculated using the flue gas heat release and the working medium side heat absorption.

3. The method according to claim 1, characterized in that After using the overall sootblowing strategy to control the target boiler to perform a corresponding sootblowing action, the method further includes: Updating the current state data of the at least one heating surface to obtain the corresponding actual exhaust temperature; The operating efficiency is calculated using the actual exhaust gas temperature.

4. The method according to claim 1, characterized in that: The determining of the overall sootblowing strategy of the target boiler that meets the preset operating efficiency requirement based on the contamination level of each heating surface includes: determining a sootblowing area of ​​the target boiler based on the contamination level, and dividing the sootblowing area into different sootblowing intensity areas using the contamination level; A corresponding sootblowing device and sootblowing intensity are matched for each sootblowing intensity zone, so as to generate the overall sootblowing strategy based on the sootblowing device and the sootblowing intensity.

5. The method according to claim 1, characterized in that: The determining of the overall sootblowing strategy of the target boiler that meets the preset operating efficiency requirement based on the contamination level of each heating surface includes: The contamination level is input into the sootblowing model to output the overall sootblowing strategy, wherein the sootblowing model is constructed by the historical operating efficiency of the target boiler, the historical contamination level of each heating surface and the corresponding historical sootblowing strategy.

6. The method according to claim 5, characterized in that After using the overall sootblowing strategy to control the target boiler to perform a corresponding sootblowing action, the method further includes: Calculating the actual operating efficiency of the target boiler within a preset time period; Determining whether the actual operating efficiency meets the preset efficiency requirement; If the actual operating efficiency does not meet the preset efficiency requirement, updating the contamination level of each heating surface, and optimizing the overall sootblowing strategy using the updated contamination level until the actual operating efficiency meets the preset efficiency requirement; The sootblowing model is optimized using the overall sootblowing strategy, the optimized overall sootblowing strategy, the current state data, the sootblowing level and the updated sootblowing level.

7. A sootblowing control device for a boiler, characterized in that: include: An acquisition module, used to acquire current state data of at least one heating surface of a target boiler; A matching module, used for calculating the heat transfer coefficient of each heating surface based on the current state data, so as to match a corresponding contamination level for each heating surface based on the heat transfer coefficient; A control module is used to determine an overall sootblowing strategy of the target boiler that meets a preset operating efficiency requirement based on the contamination level of each heating surface, and use the overall sootblowing strategy to control the target boiler to perform corresponding sootblowing actions.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the boiler sootblowing control method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the sootblowing control method for a boiler according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed, it is used to implement the sootblowing control method for a boiler according to any one of claims 1 to 6.

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