A method and system for real-time monitoring of slagging and contamination of boiler heating surface and soot blowing
By constructing a smoke temperature model and calculating the pollution coefficient of the heated surface, real-time monitoring of the slag contamination in the furnace of coal-fired boilers, the problem of lack of real-time and accuracy in the existing technology is solved, and the safety and economicality of boiler operation is improved.
Patent Information
- Application Number
- CN202210490390.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-05-07
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2042-05-07
AI Technical Summary
The existing technology lacks real-time and accuracy, and cannot effectively monitor and early warning of slag contamination in the furnace of coal-fired boilers, resulting in the safety of boiler operation.
By collecting real-time operating load value and furnace outlet smoke temperature data, a smoke temperature model is constructed, the pollution coefficient of the heated surface is calculated, the degree of pollution of the heated surface is judged, and the soot blowing strategy is determined based on the pollution level.
Real-time monitoring of slag contamination on the heated surface of the boiler is achieved, which improves the safety and economicality of boiler operation, simplifies the workload and improves the accuracy of monitoring.
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Figure CN114754370B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of boiler combustion, and in particular to a method and system for real-time monitoring of slagging and contamination of a boiler heating surface and soot blowing. Background Art
[0002] At present, in order to reduce the cost of coal burning, some coal-fired power plants have begun to burn low ash melting point coal. Since the physical properties of low ash melting point coal, especially the ash melting point, deviate greatly from the designed coal type, when the boiler design parameters are not changed, the adaptability to the combustion equipment is weakened, and slagging and contamination are prone to occur. Generally speaking, when burning low ash melting point coal, the slagging and contamination locations of the furnace include water-cooled walls, superheaters, reheaters and economizers in the tail flue.
[0003] The effects of slagging and contamination from coal combustion on boilers are diverse: deposits will affect the heat transfer process in the furnace, leading to increased flue gas temperature and NOx; ash accumulation on the heating surface will lead to corrosion of the heating surface tube wall; large slag blocks or coke formed in the furnace due to slagging will pose a greater threat to the water-cooled wall heat exchange tubes and ash hopper if they fall; partial slagging in the furnace will cause uneven heating in the furnace, causing deviations in the heating of the water-cooled wall, which can easily lead to thermal stress in the water-cooled wall tubes of the furnace, threatening the safe and stable operation of the boiler.
[0004] If the slagging and contamination of the furnace can be monitored in real time, the blending ratio of low-ash melting point coal or the operating parameters can be adjusted in time, or timely soot blowing can be carried out to ensure the normal operation of the boiler. In recent years, there have been many studies on the early warning of slagging and contamination in the furnace of coal-fired boilers in my country's coal-fired units. For example, the existing slagging detection method is: first detect the temperature of the furnace outlet; then calculate the temperature change before and after soot blowing at the furnace outlet and the temperature rise rate after soot blowing based on the detection results; finally, judge the slagging condition of the boiler based on the temperature change and the temperature rise rate; however, these methods basically lack real-time performance, and can only issue an early warning when the slagging and contamination reaches a certain level or even threatens the safe operation of the boiler, and cannot accurately guide soot blowing. Due to the lack of accurate real-time monitoring methods, the operating safety of my country's coal-fired unit boilers is seriously affected. Therefore, it is urgent to find a simple and accurate basis for judgment to provide timely early warning of furnace slagging. Summary of the invention
[0005] The invention provides a boiler heating surface slagging and contamination real-time monitoring and soot blowing method and system, which solves the technical problem that the existing research on coal-fired boiler furnace slagging and contamination early warning lacks real-time performance and cannot accurately guide soot blowing.
[0006] In order to solve the above technical problems, the present invention provides a method and system for real-time monitoring of slagging and contamination of boiler heating surfaces and soot blowing.
[0007] In a first aspect, the present invention provides a method for real-time monitoring of slagging and contamination of a boiler heating surface and soot blowing, the method comprising the following steps:
[0008] Collect real-time operating load values and real-time furnace outlet smoke temperature data at different measuring points;
[0009] According to the real-time operating load value of each measuring point and the pre-built smoke temperature model, the smoke temperature value of each measuring point when the heating surface is clean under the corresponding real-time operating load value is obtained;
[0010] According to the real-time furnace outlet smoke temperature data of each measuring point and the smoke temperature value of the measuring point, the pollution coefficient of the heating surface of the corresponding measuring point is obtained;
[0011] Determining the degree of contamination of the heating surface of the boiler according to the heating surface contamination coefficient;
[0012] The sootblowing strategy is determined according to the degree of contamination of the boiler heating surface.
[0013] In a further embodiment, the step of determining the degree of contamination of the heating surface of the boiler according to the heating surface contamination coefficient comprises:
[0014] Averaging the pollution coefficients of the heating surface at different measuring points to obtain an average pollution coefficient of the heating surface;
[0015] The degree of contamination of the boiler heating surface is determined based on the average heating surface contamination coefficient and a preset contamination coefficient threshold range.
[0016] In a further embodiment, the degree of contamination of the boiler heating surface includes normal boiler heating surface, slightly contaminated boiler heating surface, moderately contaminated boiler heating surface and severely contaminated boiler heating surface.
[0017] In a further embodiment, the method further includes: judging the heat exchange condition of the heating surface according to the average heating surface pollution coefficient, and generating a sootblowing strategy according to the heat exchange condition of the heating surface.
[0018] In a further embodiment, the heat exchange condition of the heating surface includes a heat exchange change trend of the heating surface.
[0019] In a further embodiment, the smoke temperature model construction process includes:
[0020] Collect the historical load value and historical furnace outlet smoke temperature data of each measuring point within a preset time after the major or minor repair of the boiler, and use the historical furnace outlet smoke temperature data of each measuring point as the historical measuring point smoke temperature value when the furnace heating surface is clean;
[0021] A fitting algorithm is used to fit the historical load value of each measuring point and the historical smoke temperature value of the measuring point to obtain a corresponding smoke temperature model.
[0022] In further embodiments, the fitting algorithm comprises a least squares method.
[0023] In a second aspect, the present invention provides a boiler heating surface slagging contamination real-time monitoring and soot blowing system, the system comprising:
[0024] Data acquisition module, used to collect real-time operating load values and real-time furnace outlet smoke temperature data at different measuring points;
[0025] A data processing module is used to obtain the flue gas temperature value of each measuring point when the heating surface is clean under the corresponding real-time operating load value according to the real-time operating load value of each measuring point and the pre-built flue gas temperature model; and is also used to obtain the pollution coefficient of the heating surface of the corresponding measuring point according to the real-time furnace outlet flue gas temperature data of each measuring point and the flue gas temperature value of the measuring point;
[0026] A pollution judgment module, used for judging the pollution degree of the heating surface of the boiler according to the pollution coefficient of the heating surface;
[0027] The strategy generation module is used to determine the soot blowing strategy according to the degree of contamination of the heating surface of the boiler.
[0028] At the same time, the present invention also provides a computer device, including a processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the computer device performs the steps of implementing the above method.
[0029] The present invention also provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.
[0030] The present invention provides a method and system for real-time monitoring and soot blowing of slagging contamination on the heating surface of a boiler. The method constructs a flue gas temperature-load function relationship through the flue gas temperature and load at the furnace outlet when the furnace heating surface is clean obtained from the operation data, and obtains the heating surface pollution coefficient according to the flue gas temperature-load function relationship, so as to realize real-time and effective monitoring of the boiler through the heating surface pollution coefficient, thereby improving the safety and economy of boiler operation. Compared with the prior art, the method has a smaller workload and time consumption, can save manpower and material resources, and has the advantages of accurate and reliable monitoring structure, and has good adaptability to different types of units and different flue gas temperature measurement points. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 It is a schematic flow chart of a method for real-time monitoring of slagging and contamination on a heating surface of a boiler and soot blowing provided by an embodiment of the present invention;
[0032] Figure 2 This is a block diagram of a boiler heating surface slagging and contamination real-time monitoring and soot blowing system provided by an embodiment of the present invention;
[0033] Figure 3 It is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0034] The following specifically illustrates the implementation mode of the present invention in conjunction with the accompanying drawings. The embodiments are provided for illustrative purposes only and are not to be construed as limitations of the present invention. The accompanying drawings are provided for reference and illustration only and do not constitute limitations on the scope of patent protection of the present invention, because many changes may be made to the present invention without departing from the spirit and scope of the present invention.
[0035] refer to Figure 1 The embodiment of the present invention provides a real-time monitoring method for slagging and contamination of boiler heating surface and a soot blowing method, which can be applied to all coal-fired power generation units that burn low-ash melting point coal, such as Figure 1 As shown, the method comprises the following steps:
[0036] S1. Collect real-time operating load values and real-time furnace outlet smoke temperature data at different measuring points.
[0037] In the present embodiment, since the slagging condition of the furnace directly affects the heat transfer of the furnace, and the flue gas temperature at the furnace outlet reflects the heat transfer condition of the furnace, the change in the flue gas temperature data at the furnace outlet reflects the overall condition of the slagging. Therefore, the present embodiment determines the degree of slagging contamination of the boiler heating surface based on the flue gas temperature at the furnace outlet. In the present embodiment, the slagging contamination refers to a fault phenomenon that seriously affects the normal and stable operation of the boiler on the heating surface on the flue gas side of the boiler, which is usually caused by the minerals and inorganic components in the coal being converted into ash after combustion in the furnace, and the ash is deposited on the heating surface. It should be noted that the boiler includes small and medium-sized boilers and large-capacity boilers with rear screens, wherein the flue gas temperature at the furnace outlet of small and medium-sized boilers refers to the flue gas temperature before the slag coagulation pipe, and the flue gas temperature at the furnace outlet of large-capacity boilers with rear screens refers to the flue gas temperature at the inlet of the rear screen.
[0038] In this embodiment, different measuring points are pre-set on the boiler, and then during the operation of the boiler, real-time operating load values of different measuring points and real-time furnace outlet smoke temperature data corresponding to the real-time operating load values are collected from the DCS (distributed control system) or SIS (safety instrument system) system data to obtain.
[0039] S2. According to the real-time operating load value of each measuring point and the pre-constructed flue gas temperature model, the flue gas temperature value of each measuring point when the heating surface is clean under the corresponding real-time operating load value is obtained.
[0040] In this embodiment, the real-time operating load values of different measuring points are substituted into the corresponding smoke temperature model to obtain the smoke temperature value of the measuring point when the heating surface is clean under the corresponding load, thereby obtaining the pollution coefficient of the heating surface according to the smoke temperature value of the measuring point when the heating surface is clean. In this embodiment, the construction process of the smoke temperature model includes:
[0041] Based on the DCS or SIS system data, the historical load values and corresponding historical furnace outlet flue gas temperature data of each measuring point within a preset time after the boiler is started after major or minor repairs are collected, and the historical furnace outlet flue gas temperature data of each measuring point are stored in the database as the historical measuring point flue gas temperature value when the furnace heating surface is clean. Since the furnace outlet flue gas temperatures of multiple measuring points are obtained in this embodiment, multiple databases can be obtained;
[0042] A fitting algorithm is used to fit the historical load value and the historical flue gas temperature value of each measuring point to obtain a corresponding flue gas temperature model; in this embodiment, the fitting algorithm includes the least squares method. This embodiment uses the least squares method to fit the load value and the furnace outlet flue gas temperature, and preferably fits to a linear function, so that it can not only better characterize the correspondence between the flue gas temperature and the load, but also avoid overfitting caused by high-order fitting; it should be noted that technical personnel in this field can select other fitting algorithms to construct a flue gas temperature model according to the specific implementation situation, which is not limited to the present invention.
[0043] In this embodiment, the time for database acquisition and update is preferably selected as 5 to 10 days. If the time is too short, sufficient data cannot be obtained, and if the time is too long, there may be a risk of furnace slag contamination affecting the judgment result.
[0044] This embodiment uses the furnace outlet flue gas temperature when the furnace heating surface is clean and the operating load value obtained from the unit operation data to construct a flue gas temperature-load function relationship. Data acquisition is simple and convenient, and the obtained flue gas temperature model is more consistent with the actual operation of the unit and has good reproducibility in practice.
[0045] It should be noted that, during the subsequent operation, this embodiment can timely update and adjust the database when the furnace heating surface is clean according to the operating conditions of the unit, thereby timely updating the fitted flue gas temperature model, which not only ensures the accuracy of monitoring, but also the update process does not involve the hardware end, and the implementation is more convenient.
[0046] S3. According to the real-time furnace outlet smoke temperature data of each measuring point and the smoke temperature value of the measuring point, the pollution coefficient of the heating surface of the corresponding measuring point is obtained.
[0047] In this embodiment, the ratio of the real-time furnace outlet flue gas temperature data at different measuring points to the flue gas temperature value at the measuring point when the heating surface is clean under the corresponding real-time operating load value is preferentially defined as the heating surface pollution coefficient K at the corresponding measuring point. In this embodiment, the heating surface pollution coefficient K is used to characterize the change in the heat exchange capacity of the heating surface, thereby reflecting the slagging and contamination of the heating surface of the boiler.
[0048] S4. Determine the degree of contamination of the heating surface of the boiler according to the heating surface contamination coefficient.
[0049] In one embodiment, the step of determining the degree of contamination of the heating surface of the boiler according to the heating surface contamination coefficient comprises:
[0050] Averaging the pollution coefficients of the heating surface at different measuring points to obtain an average pollution coefficient of the heating surface;
[0051] The average heating surface pollution coefficient is compared with a preset pollution coefficient threshold range to determine the degree of pollution of the boiler heating surface.
[0052] In this embodiment, the pollution degree of the boiler heating surface includes normal boiler heating surface, slightly polluted boiler heating surface, moderately polluted boiler heating surface and severely polluted boiler heating surface.
[0053] S5. Determine a sootblowing strategy according to the degree of contamination of the boiler heating surface.
[0054] In order to better characterize the slagging condition of the furnace, this embodiment averages the relative heating surface pollution coefficients at different measuring points, so as to judge the degree of pollution of the boiler heating surface according to the size of the heating surface pollution coefficient after the average processing, thereby guiding the soot blowing strategy. The specific guidance method is as follows:
[0055] When the pollution coefficient of the boiler heating surface is within the first pollution coefficient threshold range, it is judged that the pollution degree of the heating surface is normal, and at this time, soot blowing is not required;
[0056] When the pollution coefficient of the boiler heating surface is within the second pollution coefficient threshold range, it is judged that the heating surface is slightly polluted, and soot blowing can be started at this time;
[0057] When the pollution coefficient of the boiler heating surface is within the third pollution coefficient threshold range, the heating surface is judged to be moderately polluted, and soot blowing is recommended at this time;
[0058] When the pollution coefficient of the boiler heating surface is within the fourth pollution coefficient threshold range, it is determined that the heating surface is severely polluted, and soot blowing is necessary at this time.
[0059] In this embodiment, the first pollution coefficient threshold range is preferentially set to 0.95-1.05, the second pollution coefficient threshold range is set to 1.05-1.1, the third pollution coefficient threshold range is set to 1.1-1.15, and the fourth pollution coefficient threshold range is set to not less than 1.15; it should be noted that those skilled in the art may set corresponding soot blowing strategies according to specific implementation circumstances, and are not limited to the soot blowing strategies provided in the embodiments of the present invention.
[0060] In one embodiment, a real-time monitoring and sootblowing method for slagging and contamination of boiler heating surfaces provided by an embodiment of the present invention further includes: judging the heat exchange condition of the heating surface according to the average heating surface contamination coefficient, and generating a sootblowing strategy according to the heat exchange condition of the heating surface.
[0061] In one embodiment, the heat exchange condition of the heating surface includes the heat exchange change trend of the heating surface. In this embodiment, the heat exchange condition refers to the amount of heat absorbed by the steam-water side from the flue gas. If the flue gas temperature at the furnace outlet becomes higher, that is, the pollution coefficient of the heating surface increases, it means that the heat released by the flue gas becomes less, and the heat absorbed by the steam-water side from the flue gas also becomes less, and the heat exchange condition will become worse.
[0062] This embodiment can judge the heat exchange condition of the heating surface according to the average heating surface pollution coefficient, thereby providing a basis for soot blowing for power plant operators and ensuring safe and stable operation of the boiler.
[0063] The embodiment of the present invention provides a real-time monitoring and sootblowing method for slagging and contamination of the heating surface of a boiler. The method can acquire and fit the data set only by obtaining the operating data of the unit, thereby using the fitted flue gas temperature model and the real-time operating load value to monitor the slagging and contamination degree of the heating surface of the coal-fired boiler in real time and guide the sootblowing strategy. Compared with the existing furnace slagging and contamination early warning method, the method provided by this embodiment is not only simple and convenient, highly accurate, and saves unnecessary manpower and material resources, but also more in line with the actual operating conditions of the unit, and has good adaptability to different types of units and different flue gas temperature measuring points.
[0064] It should be noted that the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0065] In one embodiment, Figure 2 As shown, an embodiment of the present invention provides a boiler heating surface slagging contamination real-time monitoring and soot blowing system, the system comprising:
[0066] The data acquisition module 101 is used to collect real-time operating load values and real-time furnace outlet smoke temperature data at different measuring points;
[0067] The data processing module 102 is used to obtain the flue gas temperature value of each measuring point when the heating surface is clean under the corresponding real-time operating load value according to the real-time operating load value of each measuring point and the pre-built flue gas temperature model; and is also used to obtain the heating surface pollution coefficient of the corresponding measuring point according to the real-time furnace outlet flue gas temperature data of each measuring point and the flue gas temperature value of the measuring point;
[0068] A pollution judgment module 103 is used to judge the pollution degree of the heating surface of the boiler according to the pollution coefficient of the heating surface;
[0069] The strategy generation module 104 is used to determine the soot blowing strategy according to the degree of contamination of the heating surface of the boiler.
[0070] For the specific definition of a real-time monitoring and soot blowing system for slagging and fouling of the heating surface of a boiler, please refer to the above-mentioned definition of a real-time monitoring and soot blowing method for slagging and fouling of the heating surface of a boiler, which will not be repeated here. A person of ordinary skill in the art will appreciate that the various modules and steps described in conjunction with the embodiments disclosed in this application can be implemented in hardware, software, or a combination of both. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.
[0071] The embodiment of the present invention provides a real-time monitoring and sootblowing system for slagging and contamination of boiler heating surfaces. The system obtains the pollution coefficients of the heating surfaces at different measuring points through a data processing module, monitors the degree of pollution of the boiler heating surfaces through a pollution judgment module, and guides the sootblowing strategy through a strategy generation module. Compared with the prior art, the system provided by the present application is not only simple and convenient to use, without the need to purchase hardware facilities separately, but also can more accurately monitor the slagging situation in the furnace in real time, thereby timely adjusting the database and fitting results when the furnace heating surface is clean, which has important guiding significance for the safe and efficient operation of the boiler.
[0072] Figure 3 A computer device provided by an embodiment of the present invention includes a memory, a processor and a transceiver, which are connected via a bus; the memory is used to store a set of computer program instructions and data, and can transmit the stored data to the processor, and the processor can execute the program instructions stored in the memory to perform the steps of the above method.
[0073] The memory may include a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories; the processor may be a central processing unit, a microprocessor, an application-specific integrated circuit, a programmable logic device, or a combination thereof. By way of example but not limitation, the programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.
[0074] Additionally, the memory may be a physically separate unit or may be integrated with the processor.
[0075] It can be understood by those skilled in the art that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have the same component arrangement.
[0076] In one embodiment, the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.
[0077] An embodiment of the present invention provides a method and system for real-time monitoring of slagging and contamination on the heating surface of a boiler and soot blowing. The method measures the flue gas temperature at the furnace outlet through a pre-constructed flue gas temperature model, thereby realizing real-time and accurate monitoring of the slagging and contamination of the furnace according to the pollution coefficient of the heating surface at different measuring points, and adjusting corresponding measures in real time according to the monitoring results to ensure the safety and reliability of the normal operation of the boiler.
[0078] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., an SSD), etc.
[0079] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods.
[0080] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.
Claims
1. A real-time monitoring and soot blowing method for slagging and contamination of boiler heating surfaces, characterized in that: The following steps are involved: Collect real-time operating load values and real-time furnace outlet smoke temperature data at different measuring points; According to the real-time operating load value of each measuring point and the pre-built smoke temperature model, the smoke temperature value of each measuring point when the heating surface is clean under the corresponding real-time operating load value is obtained; According to the real-time furnace outlet smoke temperature data of each measuring point and the smoke temperature value of the measuring point, the pollution coefficient of the heating surface of the corresponding measuring point is obtained; Determining the degree of contamination of the heating surface of the boiler according to the heating surface contamination coefficient; Determining a sootblowing strategy according to the degree of contamination of the boiler heating surface; The step of judging the degree of pollution of the heating surface of the boiler according to the pollution coefficient of the heating surface comprises: averaging the pollution coefficients of the heating surface at different measuring points to obtain an average pollution coefficient of the heating surface; judging the degree of pollution of the heating surface of the boiler according to the average pollution coefficient of the heating surface and a preset pollution coefficient threshold range; The method further includes: judging the heat exchange condition of the heating surface according to the average heating surface pollution coefficient, and generating a sootblowing strategy according to the heat exchange condition of the heating surface; the heat exchange condition of the heating surface includes a heat exchange change trend of the heating surface.
2. A method for real-time monitoring and sootblowing of slagging contamination on heating surfaces of a boiler as claimed in claim 1, characterized in that: The degree of contamination of the boiler heating surface includes normal boiler heating surface, slightly contaminated boiler heating surface, moderately contaminated boiler heating surface and severely contaminated boiler heating surface.
3. A method for real-time monitoring and sootblowing of slagging contamination on heating surfaces of a boiler as claimed in claim 1, characterized in that: The construction process of the smoke temperature model includes: Collect the historical load value and historical furnace outlet smoke temperature data of each measuring point within a preset time after the major or minor repair of the boiler, and use the historical furnace outlet smoke temperature data of each measuring point as the historical measuring point smoke temperature value when the furnace heating surface is clean; A fitting algorithm is used to fit the historical load value of each measuring point and the historical smoke temperature value of the measuring point to obtain a corresponding smoke temperature model.
4. A method for real-time monitoring and sootblowing of slagging contamination on a boiler heating surface as claimed in claim 3, characterized in that: The fitting algorithm includes the method of least squares.
5. A boiler heating surface slagging contamination real-time monitoring and soot blowing system, characterized in that: The system comprises: Data acquisition module, used to collect real-time operating load values and real-time furnace outlet smoke temperature data at different measuring points; A data processing module is used to obtain the flue gas temperature value of each measuring point when the heating surface is clean under the corresponding real-time operating load value according to the real-time operating load value of each measuring point and the pre-built flue gas temperature model; and is also used to obtain the pollution coefficient of the heating surface of the corresponding measuring point according to the real-time furnace outlet flue gas temperature data of each measuring point and the flue gas temperature value of the measuring point; A pollution judgment module, used for judging the pollution degree of the heating surface of the boiler according to the pollution coefficient of the heating surface; A strategy generation module, used to determine the soot blowing strategy according to the degree of contamination of the heating surface of the boiler; The pollution judgment module is specifically used to: average the pollution coefficients of the heating surface at different measuring points to obtain an average pollution coefficient of the heating surface; and judge the degree of pollution of the heating surface of the boiler according to the average pollution coefficient of the heating surface and a preset pollution coefficient threshold range; The system further comprises: judging the heat exchange condition of the heating surface according to the average heating surface pollution coefficient, and generating a sootblowing strategy according to the heat exchange condition of the heating surface; the heat exchange condition of the heating surface comprises a heat exchange change trend of the heating surface.
6. A computer device, characterized in that: The computer device comprises a processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the computer device executes the method according to any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the method according to any one of claims 1 to 4 is implemented.
Citation Information
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