Intelligent adjusting system for soot blowing of boiler

Abstract

The invention relates to the technical field of boiler soot blowing, and particularly discloses a boiler soot blowing intelligent adjusting system which comprises a data acquisition module, a coking analysis module, a soot blowing control module and an execution module. The data acquisition module is used for acquiring unit load, flue gas temperature of each area of the boiler, wall temperature of a hearth heat exchanger and steam temperature data of a heating surface in the operation process of the boiler; the coking analysis module is in communication connection with the data acquisition module, and is used for comprehensively judging the coking area and the coking degree of the boiler heating surface according to the acquired multi-dimensional data, accurately capturing the multi-dimensional operation data such as the temperature of each heating surface of the boiler and the unit load through the data acquisition module, and combining with an intelligent judgment model of the coking analysis module; according to the method, accurate positioning of the coking area and the coking degree is achieved, soot blowing blindness caused by traditional artificial experience judgment is avoided, only targeted soot blowing is conducted on the area with coking, invalid soot blowing operation is greatly reduced, steam consumption is reduced, and boiler operation economical efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of boiler soot blowing technology, and in particular to an intelligent adjustment system for boiler soot blowing. Background Technology

[0002] From the perspective of unit operation requirements, this type of unit needs to meet the requirements of base load and peak-shaving operation, and faces multiple technical challenges during long-term operation. Firstly, as the core of energy conversion, the boiler system has a complex structure, including multiple sets of heating surfaces such as high-temperature superheaters, high-temperature reheaters, and screen-type reheaters. It also employs technologies such as four-corner tangential combustion and swing burner temperature control. During operation, coking and ash accumulation will occur on each heating surface. If not addressed promptly, this will reduce boiler thermal efficiency and increase coal consumption in the short term, and threaten the safe operation of the boiler in the long term. Currently, the most common method for coking and ash accumulation on boiler heating surfaces is online steam soot blowing. This method involves operators manually analyzing the temperature at various measuring points in the boiler furnace and the heating conditions of each wall area, combining this with operational experience to adjust the soot blowing steam pressure, and then cleaning the entire heating surface area online. This method involves a large soot blowing area and relies heavily on manual experience. The soot blowing process is highly unpredictable and results in a large waste of steam. Furthermore, prolonged exposure to high-pressure steam purging for cleaning heating surfaces may cause tube rupture. Summary of the Invention

[0003] Therefore, the technical problem to be solved by the present invention is that the soot blowing area is large and relies too much on manual experience. The soot blowing process is highly blind and will cause a lot of steam waste. At the same time, for cleaning the heating surface, long-term exposure to high-pressure steam purging may cause the heating surface tube to burst.

[0004] The above-mentioned technical problems are solved by the following technical solution: The present invention proposes an intelligent adjustment system for boiler soot blowing, which includes a data acquisition module, a coking analysis module, a soot blowing control module and an execution module; The data acquisition module is used to collect data on unit load, flue gas temperature in various areas of the boiler, furnace heat exchanger wall temperature, and steam temperature of the heating surface during boiler operation. The coking analysis module is communicatively connected to the data acquisition module and is used to comprehensively determine the coking area and degree of coking on the boiler heating surface based on the acquired multi-dimensional data. The soot blowing control module is communicatively connected to the coking analysis module and is used to generate the soot blowing gun input sequence and corresponding steam pressure parameters based on the coking area and coking degree. The execution module is communicatively connected to the soot blowing control module and is used to control the soot blower's operation according to the soot blowing gun input sequence and steam pressure parameters.

[0005] In a preferred embodiment of the intelligent boiler soot blowing adjustment system of the present invention: the data acquisition module includes a temperature sensor group, a load sensor and a pressure sensor; The temperature sensor groups are respectively arranged at the furnace outlet, the inlet and outlet of the roof superheater, the inlet and outlet of the partition screen superheater, the inlet and outlet of the rear screen superheater, the inlet and outlet of the high temperature superheater, the inlet and outlet of the high temperature reheater, and the inlet and outlet of the economizer. At the same time, the temperature sensor groups are evenly distributed on the outer walls of the partition screen superheater, the rear screen superheater, and the high temperature superheater to collect the flue gas temperature and the wall temperature of the heated surface in the corresponding area. The load sensor is used to collect real-time load data of the unit. The pressure sensor is used to collect steam pressure data of the heated surface.

[0006] In a preferred embodiment of the intelligent adjustment system for boiler soot blowing described in this invention: the coking analysis module has a built-in coking judgment model, and the coking judgment model is pre-loaded with the normal flue gas temperature range, normal wall temperature range and normal steam temperature range of the boiler under different loads. The coking analysis module calculates the temperature deviation value by comparing the collected real-time data with the normal range. When the temperature deviation value exceeds the preset threshold, it determines that coking exists in the corresponding area and classifies the degree of coking according to the magnitude of the deviation value.

[0007] In a preferred embodiment of the intelligent boiler soot blowing adjustment system of the present invention: the coking degree level includes light coking, moderate coking and heavy coking; When the temperature deviation is 5-15℃, it is judged as mild coking; When the temperature deviation is 16-30℃, it is judged as moderate coking; When the temperature deviation is greater than 30℃, it is judged as severe coking.

[0008] In a preferred embodiment of the intelligent adjustment system for boiler soot blowing described in this invention: the soot blowing control module has a built-in soot blowing strategy database, which stores the optimal input sequence and corresponding steam pressure parameters of the boiler’s 64 wall-mounted soot blowers, 48 ​​telescopic long soot blowers and 2 air preheater-specific soot blowers under different coking areas and different coking degrees. The soot blowing control module matches the corresponding soot blowing parameters from the soot blowing strategy database based on the coking area and coking degree output by the coking analysis module.

[0009] In a preferred embodiment of the intelligent adjustment system for boiler soot blowing described in this invention, the steam pressure parameters generated by the soot blowing control module meet the following requirements: the soot blowing steam pressure for the air preheater is 1.7 MPa, the soot blowing steam pressure for the water-cooled wall is 1.3 MPa, and the soot blowing steam pressure for the superheater, reheater, and economizer is 1.5 MPa.

[0010] In a preferred embodiment of the intelligent boiler soot blowing adjustment system of the present invention: the execution module includes a soot blower drive unit and a steam pressure regulating unit; The soot blower drive unit is used to control the forward, backward and rotation movements of the soot blower to achieve soot blowing operations on the target coking area; The steam pressure regulating unit is connected to the boiler soot blowing steam source pressure reducing station and is used to adjust the outlet pressure of the pressure reducing station according to the steam pressure parameters output by the soot blowing control module to ensure stable soot blowing steam pressure.

[0011] In a preferred embodiment of the intelligent adjustment system for boiler soot blowing described in this invention: the coking analysis module is communicatively connected to an alarm module; when the coking analysis module determines that the coking degree in a certain area has reached severe coking, and the temperature deviation value has not decreased below the moderate coking threshold after three consecutive soot blowing cycles, the alarm module issues an audible and visual alarm signal to remind the staff to intervene manually.

[0012] In a preferred embodiment of the intelligent adjustment system for boiler soot blowing described in this invention: the data storage module is communicatively connected to the data acquisition module, the coking analysis module, and the soot blowing control module, respectively, and is used to store the acquired raw data, coking analysis results, and soot blowing control parameters to form a historical database, providing data support for subsequent soot blowing strategy optimization.

[0013] In a preferred embodiment of the intelligent adjustment system for boiler soot blowing described in this invention: the system communicates and interacts with the boiler DCS system, and is able to receive unit operation mode instructions issued by the DCS system, and adjust the parameter thresholds of the coking judgment model and the soot blowing strategy according to the operation mode, so as to ensure that accurate soot blowing can be achieved in different operation modes.

[0014] The beneficial effects of this invention are as follows: by accurately capturing multi-dimensional operating data such as the temperature of each heating surface of the boiler and the unit load through the data acquisition module, and combining the intelligent judgment model of the coking analysis module, the coking area and coking degree can be accurately located, avoiding the blind soot blowing caused by traditional manual experience judgment, and soot blowing is only targeted at the areas where coking exists, greatly reducing ineffective soot blowing operations, reducing steam consumption, and improving the economic efficiency of boiler operation.

[0015] Different soot blowing parameters are matched to different coking degrees, and the design pressure of the boiler heating surface is strictly followed to avoid long-term high-pressure steam purging of clean heating surfaces, reduce wear and fatigue damage to heating surfaces, reduce the risk of tube rupture, and extend the service life of heating surfaces.

[0016] The system interacts with the boiler DCS system in real time and can dynamically adjust the coking judgment threshold and soot blowing strategy according to the constant pressure / sliding pressure operation mode. It adapts to the operating requirements of the unit under different load conditions, ensuring that the soot blowing operation is accurately matched with the boiler operating status, which not only ensures the coking removal effect, but also avoids the interference of soot blowing operation on the boiler combustion stability and steam parameter stability.

[0017] With the help of alarm and data storage modules, timely early warning of severe coking and historical operation data can be achieved. On the one hand, this facilitates the rapid intervention of staff to deal with stubborn coking, and on the other hand, it provides data support for the optimization of soot blowing strategies, continuously improving the accuracy and effectiveness of soot blowing operations, and further ensuring the long-term safe and efficient operation of the boiler.

[0018] By implementing the automated drive and pressure regulation functions of the module, the soot blowing operation is automated and standardized, avoiding parameter fluctuations and operational deviations caused by manual operation. This ensures that the soot blowing steam pressure remains stable within the set range, guaranteeing both coking removal efficiency and preventing impact damage to the heated surface caused by pressure fluctuations. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Obviously, the drawings described below only relate to some embodiments of the present invention and are not intended to limit the present invention. Wherein: Figure 1 A schematic diagram of the framework structure of the intelligent adjustment system for boiler soot blowing is shown. Figure 2 A cross-sectional view of the boiler body is shown, illustrating the intelligent adjustment system for boiler soot blowing. Figure 3 A schematic diagram of the reheater structure of the intelligent adjustment system for boiler soot blowing is shown. Detailed Implementation

[0020] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0021] The terminology used in this invention is that which is currently widely used in the art in consideration of the function of the invention; however, these terms may vary according to the intent of those skilled in the art, precedent, or new technology in the art. Furthermore, specific terms may be chosen by the applicant, and in such cases, their detailed meanings will be described in the detailed description of the invention. Therefore, the terms used in this specification should not be construed as simple names, but rather based on their meanings and the overall description of the invention.

[0022] Reference Figures 1-3This embodiment provides an intelligent adjustment system for boiler soot blowing, including a data acquisition module 1 and a coking analysis module 2. The coking analysis module 2 uses an industrial-grade PLC controller, specifically a Siemens S7-400, and is connected to the data acquisition module 1 via Ethernet communication at a rate of 100Mbps to ensure real-time data transmission. Its built-in coking judgment model is pre-loaded with the normal parameter ranges of the WGZ1130 / 17.5-1 boiler under different loads, specifically including: Within the B-MCR range of 30%~100% unit load, the normal flue gas temperature at the furnace outlet is 950~1050℃, and 1021.8℃ under B-MCR conditions. The normal wall temperature at the outlet of the roof superheater is 360~365℃, the normal wall temperature at the outlet of the partition screen superheater is 445~455℃, the normal wall temperature at the outlet of the rear screen superheater is 500~510℃, the normal wall temperature at the outlet of the high-temperature superheater is 535~545℃, the normal wall temperature at the outlet of the high-temperature reheater is 535~545℃, and the normal wall temperature at the outlet of the economizer is 300~310℃. The coking analysis module 2 receives parameters transmitted from the data acquisition module 1 in real time and calculates the deviation between the real-time temperature of each area and the normal temperature under the corresponding load using a built-in algorithm. When the deviation exceeds a preset threshold, coking is determined to exist, and the degree of coking is classified according to the deviation: a temperature deviation of 5~15℃ indicates mild coking, 16~30℃ indicates moderate coking, and greater than 30℃ indicates severe coking. For example, when the unit load is 80% B-MCR, if the real-time wall temperature monitoring value of a certain area of ​​the high-temperature reheater is 570℃, and the corresponding normal wall temperature range is 535~545℃, the temperature deviation is 30℃, then the area is determined to be severely coking.

[0023] Soot blowing control module 3 uses an embedded controller, model Advantech UNO-2484G, and communicates with coking analysis module 2 via RS485 bus. It has a built-in soot blowing strategy database, constructed based on the boiler soot blower placement and historical operating data. The database stores optimal soot blowing parameters corresponding to different coking areas and degrees of coking. Wall-mounted soot blowers are distributed around the furnace perimeter, telescopic long soot blowers are distributed in the upper part of the furnace and the horizontal flue, and dedicated soot blowers for the air preheater are arranged on the bodies of the two three-compartment rotary air preheaters. For mild coking on the furnace water-cooled walls, prioritize the use of wall-mounted sootblowers in the corresponding areas. For example, if coking occurs on the left side wall of the furnace, use wall-mounted sootblowers No. 1 to 16 on the left side wall, with an interval of 30 seconds per unit. For moderate coking on the partition screen superheater, use telescopic long sootblowers in the order of "from bottom to top and from inside to outside". For example, if coking occurs on partition screens 1 to 6, use telescopic sootblowers No. IK1 to IK6, with an interval of 60 seconds per unit. For mild coking on the air preheater, simultaneously use two dedicated air preheater sootblowers and continue blowing soot for 10 minutes.

[0024] The boiler soot blowing steam source parameters are strictly matched. The superheated steam is taken from the secondary water spray desuperheater at the rear screen outlet. The design pressure is 18MPa and the temperature is 505℃. After adjustment by the pressure reducing station, the soot blowing steam pressure of the air preheater is stabilized at 1.7MPa, the soot blowing steam pressure of the water-cooled wall is stabilized at 1.3MPa, and the soot blowing steam pressure of the superheater, reheater and economizer is stabilized at 1.5MPa. The pressure control accuracy is ±0.05MPa.

[0025] Module 4 includes a soot blower drive unit and a steam pressure regulating unit: The sootblower drive unit consists of a 24V DC motor and a reduction mechanism. It is connected to the sootblower control module 3 via a relay. After receiving the action command issued by the sootblower control module 3, it controls the sootblower to move forward and backward. The telescopic long sootblower has a telescopic stroke of 3 to 5 meters, a forward and backward speed of 0.1 m / s, and rotation. The wall-mounted sootblower has a rotation angle of 360° and a rotation speed of 10° / second, so as to achieve precise blowing of the target coking area. The steam pressure regulating unit uses an electric regulating valve, model Siemens MVF461, installed on the outlet pipe of the boiler soot blowing steam source pressure reducing station. It is connected to the soot blowing control module 3 via an analog signal. Based on the pressure setpoint output by the soot blowing control module 3, it adjusts the valve opening in real time with an adjustment accuracy of ±1%, ensuring that the soot blowing steam pressure remains stable within the setpoint range. For example, when the soot blowing steam pressure of the air preheater needs to be controlled at 1.7MPa, if the real-time pressure is 1.6MPa, the regulating unit will automatically increase the valve opening by 5% until the pressure rises back to the setpoint. Data acquisition module 1 is used to collect data on unit load, flue gas temperature in various areas of the boiler, furnace heat exchanger wall temperature and steam temperature of the heating surface during boiler operation. The coking analysis module 2 is connected to the data acquisition module 1 and is used to comprehensively determine the coking area and degree of coking on the boiler heating surface based on the acquired multi-dimensional data. The soot blowing control module 3 is connected to the coking analysis module 2 and is used to generate the soot blowing gun input sequence and corresponding steam pressure parameters based on the coking area and coking degree. The execution module 4 is connected to the soot blowing control module 3 and is used to control the soot blower's operation according to the soot blowing gun input sequence and steam pressure parameters.

[0026] As an optional embodiment, the data acquisition module 1 includes a temperature sensor group, which is precisely arranged according to the distribution of the boiler heating surface. Among them, one set of temperature sensors is arranged at the furnace outlet, corresponding to the flue gas temperature monitoring point at the furnace outlet; the inlet and outlet of the roof superheater, corresponding to the inlet and outlet positions of the roof superheater tube group; the inlet and outlet of the partition screen superheater; near the steam inlet and outlet headers of the 6 partition screens; the inlet and outlet of the rear screen superheater; the inlet and outlet of the high-temperature superheater; near the steam inlet and outlet headers of the 82 rows of high-temperature superheaters at the rear of the horizontal flue; the inlet and outlet of the high-temperature reheater; near the steam inlet and outlet headers of the 60 high-temperature reheaters; and near the inlet and outlet water headers of the two sets of economizers in the tail flue. These sensors are used to collect the flue gas temperature in the corresponding area. At the same time, temperature sensors are evenly arranged on the outer walls of the partition screen superheater, the rear screen superheater, and the high-temperature superheater at a spacing of 2 meters. The number of sensors on a single heating surface is not less than 10, which are used to collect the wall temperature of the heating surface in real time, ensuring coverage of all high-risk coking areas.

[0027] Load and pressure sensors are connected to the load monitoring loop of the unit's DCS system to collect real-time load data of the unit. The data sampling frequency is 1 time / second to ensure that the impact of load fluctuations on the temperature of the boiler heating surface is captured. Temperature sensor groups are respectively arranged at the furnace outlet, roof superheater inlet and outlet, partition screen superheater inlet and outlet, rear screen superheater inlet and outlet, high temperature superheater inlet and outlet, high temperature reheater inlet and outlet, and economizer inlet and outlet. At the same time, temperature sensor groups are evenly distributed on the outer walls of partition screen superheater, rear screen superheater, and high temperature superheater to collect the flue gas temperature and heated surface wall temperature of the corresponding area. Load sensors are used to collect real-time load data of the generating unit; Pressure sensors are installed before the first-stage desuperheater, the second-stage desuperheater, and the reheater inlet pipe to collect steam pressure data of the heating surface. The pressure measurement accuracy is ±0.01MPa, providing pressure correlation parameters for coking analysis and used to collect steam pressure data of the heating surface.

[0028] The coking analysis module 2 has a built-in coking judgment model, which is pre-imported with the normal flue gas temperature range, normal wall temperature range and normal steam temperature range of the boiler under different loads. The coking analysis module 2 calculates the temperature deviation value by comparing the collected real-time data with the normal range. When the temperature deviation value exceeds the preset threshold, it determines that coking exists in the corresponding area and classifies the degree of coking according to the magnitude of the deviation value.

[0029] The degree of coking is classified into light coking, moderate coking, and heavy coking. When the temperature deviation is 5-15℃, it is judged as mild coking; When the temperature deviation is 16-30℃, it is judged as moderate coking; When the temperature deviation is greater than 30℃, it is judged as severe coking.

[0030] In one embodiment provided in this application, the soot blowing control module 3 has a built-in soot blowing strategy database. The soot blowing strategy database stores the optimal commissioning sequence and corresponding steam pressure parameters of the boiler’s 64 wall-mounted soot blowers, 48 ​​telescopic long soot blowers and 2 air preheater-specific soot blowers under different coking areas and different coking degrees. Based on the coking area and coking degree output by the coking analysis module 2, the soot blowing control module 3 matches the corresponding soot blowing parameters from the soot blowing strategy database.

[0031] The steam pressure parameters generated by the soot blowing control module 3 meet the following requirements: the soot blowing steam pressure for the air preheater is 1.7 MPa, the soot blowing steam pressure for the water-cooled wall is 1.3 MPa, and the soot blowing steam pressure for the superheater, reheater, and economizer is 1.5 MPa.

[0032] Module 4 includes a soot blower drive unit and a steam pressure regulating unit; The soot blower drive unit is used to control the forward, backward, and rotational movements of the soot blower to achieve soot blowing operations on the target coking area; The steam pressure regulating unit is connected to the boiler soot blowing steam source pressure reducing station. It is used to adjust the outlet pressure of the pressure reducing station according to the steam pressure parameters output by the soot blowing control module to ensure stable soot blowing steam pressure.

[0033] The coking analysis module 2 is connected to an alarm module via communication. The alarm module uses an audible and visual alarm (model Tianyi TG100) and communicates with the coking analysis module 2. When the coking analysis module 2 determines that the coking degree in a certain area, such as the superheater area of ​​the rear screen, is severe coking, and after three consecutive soot blowing cycles with a 15-minute interval between each cycle, the temperature deviation value in that area still has not dropped below 30℃, which is the moderate coking threshold, the alarm will issue a red light alarm and an 80dB audible and visual alarm signal. At the same time, it will send a pop-up prompt to the operator's terminal to remind manual intervention, such as checking whether the soot blower is blocked or adjusting the burner angle to reduce the local heat load. When the coking analysis module 2 determines that the coking degree in a certain area has reached severe coking, and after three consecutive soot blowing cycles, the temperature deviation value still has not dropped below the moderate coking threshold, the alarm module will issue an audible and visual alarm signal to remind the staff to intervene manually.

[0034] In some implementations, the data storage module is communicatively connected to the data acquisition module 1, the coking analysis module 2, and the soot blowing control module 3, respectively. It stores the acquired raw data, coking analysis results, and soot blowing control parameters, forming a historical database to provide data support for subsequent soot blowing strategy optimization. An industrial-grade 1TB Seagate ST1000VX005 hard drive is used, connected to the data acquisition module 1, coking analysis module 2, and soot blowing control module 3 via Ethernet. It stores raw acquired data at a frequency of once per minute, including temperature, load, pressure, coking analysis results, coking area, coking degree, soot blowing control parameters, soot blower number, steam pressure, and soot blowing duration. The data storage period is one year, supporting historical data query and trend analysis, providing data support for subsequent soot blowing strategy optimization, such as adjusting the coking judgment threshold under different loads. The system communicates and interacts with the boiler DCS system, and can receive unit operation mode instructions issued by the DCS system. It can also adjust the parameter thresholds of the coking judgment model and the soot blowing strategy according to the operation mode to ensure accurate soot blowing in different operation modes.

[0035] Taking a unit load of 60% B-MCR and moderate coking on the water-cooled wall of the right side of the furnace as an example, the system operation process is as follows: The temperature sensor group of data acquisition module 1 monitors the real-time temperature of the water-cooled wall on the right side of the furnace at 480℃, which corresponds to the normal wall temperature range of 450~465℃ under 60% B-MCR of the unit load, with a temperature deviation of 15~30℃; the load sensor collects the real-time unit load of 198MW at 60% B-MCR; and the pressure sensor collects the superheater steam pressure of 12MPa. The coking analysis module 2 receives the above data, calculates the temperature deviation value of 20℃, determines that the water-cooled wall on the right side of the furnace is moderately coked, and transmits the information on the coking area, the right side wall, and the degree of coking to the soot blowing control module 3. The soot blowing control module 3 matches the parameters corresponding to moderate coking from the soot blowing strategy database and determines the soot blowers No. 17 to No. 32 on the right side wall of the furnace to be put into operation. The order of operation is No. 17 → No. 18 → … → No. 32, with an interval of 30 seconds per unit. The soot blowing steam pressure is set to 1.3MPa. The soot blower drive unit of the execution module 4 receives the instruction and controls the wall-mounted soot blowers 17 to 32 to advance, retreat and rotate in sequence. The steam pressure regulating unit stabilizes the outlet pressure of the pressure reducing station at 1.3MPa and continues soot blowing for 5 minutes per unit. After soot blowing is completed, data acquisition module 1 collects the wall temperature of the water-cooled wall on the right side of the furnace again. If the monitored value drops to 460℃ with a temperature deviation of 5℃, indicating slight coking, then coking analysis module 2 determines that soot blowing is effective. If the monitored value is still 475℃ with a temperature deviation of 10℃, indicating slight coking, then soot blowing control module 3 does not need to trigger soot blowing again. If the monitored value is still 485℃ with a temperature deviation of 20℃, indicating moderate coking, then soot blowing is repeated once according to the above procedure.

[0036] This system communicates and interacts with the boiler's existing DCS system, receiving unit operation mode commands (constant pressure operation or sliding pressure operation) issued by the DCS system via the OPC protocol. When the unit is operating at constant pressure (60~100%B-MCR), the coking judgment model automatically adjusts the deviation threshold of the normal temperature range (such as the deviation threshold of the normal wall temperature range of the high-temperature superheater ±5℃). When the unit is in sliding pressure operation (50~100%B-MCR), the threshold is adjusted to ±8℃. At the same time, the soot blowing control module 3 adjusts the soot blowing steam pressure fluctuation range (such as allowing ±0.1MPa fluctuation) to ensure that coking can be accurately identified and soot blowing can be performed efficiently under different operating modes, avoiding steam waste and damage to the heated surface.

[0037] The following is a table of boiler steam temperatures (sorted by flue gas flow direction, unit: °C).

[0038] The following is a table of alarm temperatures for the heated surface.

[0039] Finally, it should be noted that the methods and devices described in detail above are merely embodiments, and those skilled in the art can modify these embodiments in different ways as long as they do not depart from the scope of the present invention.

Claims

1. A boiler soot blowing intelligent adjustment system, characterized in that: include, Data acquisition module (1), coking analysis module (2), soot blowing control module (3) and execution module (4); The data acquisition module (1) is used to collect data on unit load, flue gas temperature in each area of ​​the boiler, furnace heat exchanger wall temperature and steam temperature of the heating surface during boiler operation. The coking analysis module (2) is connected to the data acquisition module (1) and is used to comprehensively judge the coking area and degree of coking on the boiler heating surface based on the acquired multi-dimensional data. The soot blowing control module (3) is communicatively connected to the coking analysis module (2) and is used to generate the soot blowing gun input sequence and corresponding steam pressure parameters based on the coking area and coking degree. The execution module (4) is connected in communication with the soot blowing control module (3) and is used to control the action of the soot blower according to the soot blowing gun input sequence and steam pressure parameters.

2. The intelligent boiler soot blowing adjustment system according to claim 1, characterized in that: The data acquisition module (1) includes a temperature sensor group, a load sensor and a pressure sensor; The temperature sensor groups are respectively arranged at the furnace outlet, the inlet and outlet of the roof superheater, the inlet and outlet of the partition screen superheater, the inlet and outlet of the rear screen superheater, the inlet and outlet of the high temperature superheater, the inlet and outlet of the high temperature reheater, and the inlet and outlet of the economizer. At the same time, the temperature sensor groups are evenly distributed on the outer walls of the partition screen superheater, the rear screen superheater, and the high temperature superheater to collect the flue gas temperature and the wall temperature of the heated surface in the corresponding area. The load sensor is used to collect real-time load data of the unit. The pressure sensor is used to collect steam pressure data of the heated surface.

3. The intelligent boiler soot blowing adjustment system according to claim 2, characterized in that: The coking analysis module (2) has a built-in coking judgment model, which is pre-imported with the normal flue gas temperature range, normal wall temperature range and normal steam temperature range of the boiler under different loads. The coking analysis module (2) calculates the temperature deviation value by comparing the collected real-time data with the normal range. When the temperature deviation value exceeds the preset threshold, it determines that coking exists in the corresponding area and classifies the coking degree level according to the size of the deviation value.

4. The intelligent boiler soot blowing adjustment system according to claim 3, characterized in that: The coking severity levels include mild coking, moderate coking, and severe coking. When the temperature deviation is 5-15℃, it is judged as mild coking; When the temperature deviation is 16-30℃, it is judged as moderate coking; When the temperature deviation is greater than 30℃, it is judged as severe coking.

5. The intelligent boiler soot blowing adjustment system according to claim 4, characterized in that: The soot blowing control module (3) has a built-in soot blowing strategy database, which stores the optimal input sequence and corresponding steam pressure parameters of the boiler’s 64 wall-mounted soot blowers, 48 ​​telescopic long soot blowers and 2 air preheater-specific soot blowers in different coking areas and different coking degrees. The soot blowing control module (3) matches the corresponding soot blowing parameters from the soot blowing strategy database based on the coking area and coking degree output by the coking analysis module (2).

6. The intelligent boiler soot blowing adjustment system according to claim 5, characterized in that: The steam pressure parameters generated by the soot blowing control module (3) meet the following requirements: the soot blowing steam pressure of the air preheater is 1.7 MPa, the soot blowing steam pressure of the water-cooled wall is 1.3 MPa, and the soot blowing steam pressure of the superheater, reheater and economizer is 1.5 MPa.

7. The intelligent boiler soot blowing adjustment system according to claim 6, characterized in that: The execution module (4) includes a soot blower drive unit and a steam pressure regulating unit; The soot blower drive unit is used to control the forward, backward and rotation movements of the soot blower to achieve soot blowing operations on the target coking area; The steam pressure regulating unit is connected to the boiler soot blowing steam source pressure reducing station and is used to adjust the outlet pressure of the pressure reducing station according to the steam pressure parameters output by the soot blowing control module to ensure stable soot blowing steam pressure.

8. The intelligent boiler soot blowing adjustment system according to claim 7, characterized in that: The coking analysis module (2) is connected to an alarm module. When the coking analysis module (2) determines that the coking degree in a certain area has reached severe coking and the temperature deviation value has not dropped below the moderate coking threshold after three consecutive blows, the alarm module issues an audible and visual alarm signal to remind the staff to intervene manually.

9. The intelligent boiler soot blowing adjustment system according to claim 8, characterized in that: The data storage module is communicatively connected to the data acquisition module (1), the coking analysis module (2), and the soot blowing control module (3), respectively, and is used to store the acquired raw data, coking analysis results, and soot blowing control parameters to form a historical database, providing data support for subsequent soot blowing strategy optimization.

10. The intelligent boiler soot blowing adjustment system according to claim 9, characterized in that: The system communicates and interacts with the boiler DCS system, and can receive unit operation mode instructions issued by the DCS system. It can also adjust the parameter thresholds of the coking judgment model and the soot blowing strategy according to the operation mode to ensure accurate soot blowing in different operation modes.

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