Speed-regulating purging control method and system for steam soot blower

Abstract

The invention provides a speed regulation purging control method and system for a steam soot blower, and relates to the technical field of steam soot blower control. Stroke position data of a soot blowing gun barrel and a current signal of a driving motor are obtained and synchronously associated, and the speed regulation purging control method and system for the steam soot blower can be realized on the basis of data collected in a plurality of purging cycles. And identifying current anomalies which appear for multiple times at the same stroke position and have consistent current amplitudes and change forms, and identifying the stroke position as a fixed mechanical resistance position. For each fixed mechanical resistance position, a dynamically adjustable mechanical resistance reference value is determined. In the real-time purging process, according to the mechanical resistance reference value, the actual coking resistance signal value is obtained through separation from the total current value of the driving motor, and therefore the purging parameters of the soot blower are adjusted, the service life of the soot blower nozzle and the boiler heating surface can be remarkably prolonged, the operation cost is reduced, and the energy consumption is reduced. And intelligence and refinement of soot blower control are realized.

Description

Technical Field

[0001] This invention relates to the field of steam sootblower control technology, and more specifically, to a steam sootblower speed regulation purging control method and system. Background Technology

[0002] In large thermal power plants, steam boilers are core equipment, and their stable operation is crucial for power generation. Steam sootblowers play a key role in removing ash and coke buildup from the boiler's heated surfaces. Sootblowers typically use a variable frequency motor to drive the sootblowing nozzle to extend, retract, and rotate, injecting high-pressure steam for purging. However, the sootblowing nozzle, operating repeatedly in a harsh environment of alternating high and low temperatures, is prone to slight but permanent bending deformation. This deformation causes additional mechanical frictional resistance between the nozzle and the traveling mechanism at specific points in its travel path.

[0003] Existing sootblowing control methods often determine the total resistance experienced by the sootblowing gun barrel by monitoring changes in the drive motor current, attributing it primarily to increased coking within the furnace. This method fails to effectively distinguish between the fixed-position mechanical resistance caused by barrel deformation and the actual coking resistance, leading the control system to misjudge "false coking" and thus triggering unnecessary accelerated or repeated purging. For example, if the motor current suddenly increases when the gun barrel extends to a certain position in the middle of the furnace, the system may incorrectly interpret this as "localized coking aggravation" in that area, instructing the frequency converter to increase the motor's output frequency, increase the purging speed, or even perform unnecessary repeated purging.

[0004] Unnecessary accelerated or repeated purging of sootblower nozzles targeting "false coking" can lead to a series of negative consequences. First, excessively high speeds and force in certain areas can accelerate nozzle wear and shorten service life. More seriously, in areas with thin or no actual coking, excessively strong steam jets can cause unnecessary scouring damage to the boiler's water-cooled wall tubes, leading to thinning of the tube walls and potentially leaks or tube ruptures. Furthermore, to overcome the increased mechanical resistance from nozzle deformation and the erroneous response to "false coking," the variable frequency motor needs to operate at high frequency and high power for extended periods, significantly increasing energy consumption. Simultaneously, unnecessary repeated purging also increases sootblowing steam consumption, raising boiler operating fuel costs.

[0005] Ultimately, the increased mechanical resistance at a fixed position caused by the long-term thermal deformation of the sootblower nozzle leads to a fundamental misjudgment in the existing variable frequency speed control method for sootblower purging based on coking characteristics. This misjudgment, in turn, causes accelerated wear of the sootblower nozzle and boiler water-cooled wall tubes, as well as continuous waste of electrical energy and steam. Existing control methods cannot effectively separate this fixed mechanical resistance, unrelated to coking within the furnace, from the impact of the actual resistance caused by coking on the motor current signal. This prevents the system from achieving true on-demand purging and optimized operation. Summary of the Invention

[0006] This invention provides a steam sootblower speed regulation purging control method and system, aiming to solve the problem that existing steam sootblower control methods fail to effectively distinguish between fixed mechanical resistance and actual coking resistance, leading to misjudgment of "false coking", which in turn causes unnecessary accelerated purging and repeated purging, accelerates the wear of nozzles and boiler water-cooled wall tubes, and increases power and steam consumption.

[0007] On the one hand, this application provides a steam soot blower speed regulation purging control method, including: Acquire the stroke position data of the sootblowing gun barrel and the current signal of the drive motor, and synchronously associate the stroke position data with the current signal; Based on the synchronously associated stroke position data and current signal collected in multiple purging cycles, if a current anomaly with consistent current amplitude and change pattern occurs multiple times at the same stroke position, the stroke position is identified as a fixed mechanical resistance position. For each of the fixed mechanical resistance locations, a dynamically adjustable mechanical resistance reference value is determined; During real-time purging, the actual coking resistance signal value is obtained from the total current value of the drive motor based on the mechanical resistance reference value. Adjust the blowing parameters of the soot blower based on the actual coking resistance signal value.

[0008] Optionally, the step of separating the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging includes: During real-time purging, the local ambient temperature is obtained when the soot blowing gun passes the fixed mechanical resistance position; Based on the local ambient temperature, the corresponding normal current range is found in the temperature-related current normal range table. The temperature-related current normal range table includes temperature ranges and corresponding upper and lower current limits. The temperature-related current normal range is established for each fixed mechanical resistance position based on the drive motor current data under different local ambient temperatures during the initial operation of the sootblower or during system calibration. Determine whether the total current value of the drive motor falls within the normal current range; If the total current value of the drive motor falls within the normal current range, it is determined that the total current value is entirely caused by mechanical resistance. If the total current value of the drive motor exceeds the upper limit of the normal current range, the excess portion will be determined as the actual coking resistance signal value.

[0009] Optionally, the step of determining a dynamically adjustable mechanical resistance reference value for each of the fixed mechanical resistance locations includes: In the initial N purging cycles, when the soot blowing gun tube passes the fixed mechanical resistance position, the current signal of the drive motor is collected in real time, and the current peak value, current peak duration and current rise slope are extracted from the current signal as feature parameters. The mean and standard deviation of the feature parameters are calculated to determine the typical fluctuation range of the current peak value, the current peak duration and the current rise slope. Based on the typical fluctuation range, a three-dimensional mechanical resistance feature space is constructed with the current peak value, current peak value duration, and current rise edge slope as three orthogonal dimensions. The set of average values ​​of the current peak value, current peak value duration, and current rise edge slope collected in the initial N purging cycles is used as the initial mechanical resistance reference set. During real-time purging, when the soot blowing gun barrel passes the fixed mechanical resistance position, the characteristic parameters of the current signal of the drive motor are extracted in real time. The real-time extracted feature parameters are compared with the initial mechanical resistance reference set, and the Euclidean distance between them and the initial mechanical resistance reference set is calculated as the deviation. The initial mechanical resistance reference set is adjusted based on the deviation. Based on the initial set of mechanical resistance references, the mechanical resistance reference values ​​are obtained through weighted fusion calculation.

[0010] Optionally, the step of separating the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging includes: Real-time acquisition of the total current value of the drive motor; Real-time analysis of the rate of change and duration of the total current value is used to determine the type of resistance anomaly. When the type of resistance anomaly is a brief mechanical obstruction, the actual coking resistance signal value is determined to be zero. When the resistance anomaly type is actual coking resistance, the actual coking resistance signal value is determined to be the difference between the total current value and the mechanical resistance reference value.

[0011] Optionally, the step of adjusting the blowing parameters of the sootblower based on the actual coking resistance signal value includes: Determine the type of boiler heating surface in the purging area; The parameter adjustment priority is determined based on the boiler heating surface type and the actual coking resistance signal value. Adjust the priority based on the parameters, and adjust the nozzle movement speed, steam pressure, or purging duration of the soot blower; The actual coking resistance signal value after purging is continuously monitored, and the nozzle moving speed, steam pressure, or purging duration is iteratively adjusted.

[0012] Optionally, the step of determining the parameter adjustment priority based on the boiler heating surface type and the actual coking resistance signal value includes: Obtain the current status information of the boiler heating surface materials in the purging area; The current status information is associated with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library; Based on the boiler heating surface type in the purging area, the corresponding heating surface sensitivity feature is queried from the heating surface sensitivity feature database; Based on the sensitivity characteristics of the heated surface and the actual coking resistance signal value, the priority of parameter adjustment is determined.

[0013] Optionally, the step of obtaining the current state information of the boiler heating surface material in the purging area includes: During the purging process, when the ultrasonic sensor integrated on the soot blowing gun tube passes the boiler heating surface in the purging area, it emits ultrasonic pulses. The reflected echo is received by the ultrasonic sensor, and the thickness of the heated surface tube wall is calculated based on the time difference between transmission and reception. The thickness is used as information about the current state of material wear or corrosion.

[0014] Optionally, the step of querying the corresponding heat-receiving surface sensitivity feature from the heat-receiving surface sensitivity feature database based on the boiler heat-receiving surface type of the purging area includes: Multiple ultrasonic sensors are integrated along the axial and / or radial distribution on the soot blowing gun barrel; During the purging process, when multiple ultrasonic sensors pass through the boiler heating surface in the purging area, they respectively emit ultrasonic pulses and receive reflected echoes. Based on the time difference between the transmission and reception of each ultrasonic sensor, the wall thickness of the heated surface at multiple local locations within the purging area is calculated. The wall thickness of the heated surface at multiple local locations is used as information on the current state of material wear or corrosion. The current status information of multiple local locations is associated with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library, which contains sensitivity assessments of different local locations in the purging area.

[0015] Optionally, the step of determining the parameter adjustment priority based on the sensitivity characteristics of the heated surface and the actual coking resistance signal value includes: Based on the sensitivity characteristics of the heated surface, an initial protection tendency is set; Based on the actual coking resistance signal value, the initial cleaning tendency is set; When the initial protection tendency conflicts with the initial cleaning tendency, the boiler operating load, fuel type, and wear degree of the sootblower nozzle are obtained; Based on the boiler operating load, the fuel type, and the wear degree of the sootblower nozzle, the initial protection tendency and the initial cleaning tendency are dynamically weighted to obtain the target protection tendency and the target cleaning tendency. Adjust the parameters and priority based on the target's protection tendency and cleanliness tendency.

[0016] On the other hand, this application provides a steam soot blower speed regulation purging control system, the system comprising: The data acquisition module is used to acquire the stroke position data of the soot blowing gun barrel and the current signal of the drive motor, and to synchronously associate the stroke position data with the current signal. The resistance feature identification module uses the stroke position data and the current signal collected synchronously in multiple purging cycles to identify the stroke position as a fixed mechanical resistance position if the current amplitude and change pattern are consistent multiple times at the same stroke position. The resistance reference value management module is used to determine a dynamically adjustable mechanical resistance reference value for each of the fixed mechanical resistance positions. The coking resistance separation module is used to separate the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging. The purging parameter adjustment module is used to adjust the purging parameters of the sootblower according to the actual coking resistance signal value.

[0017] The steam sootblower speed-regulating purging control method and system disclosed in this application acquires and synchronously correlates the stroke position data of the sootblower nozzle and the current signal of the drive motor. Based on data collected in multiple purging cycles, it can identify current anomalies that occur multiple times at the same stroke position and have consistent current amplitude and variation patterns, thereby identifying the stroke position as a fixed mechanical resistance position. For each fixed mechanical resistance position, this application can determine a dynamically adjustable mechanical resistance reference value. During real-time purging, based on this mechanical resistance reference value, the actual coking resistance signal value is separated from the total current value of the drive motor, and finally, the purging parameters of the sootblower are adjusted according to this actual coking resistance signal value.

[0018] Through the above technical solution, this application effectively solves the problem in the prior art of failing to distinguish between fixed mechanical resistance and actual coking resistance. Existing methods primarily attribute total resistance to coking, leading to misjudgments of "false coking" and consequently causing unnecessary accelerated or repeated purging. This application, by accurately identifying and dynamically adjusting the mechanical resistance reference value, can accurately separate the actual coking resistance signal value from the total current value, thereby avoiding misjudgments of "false coking." Accordingly, the sootblower can achieve true on-demand purging, avoiding accelerated nozzle wear, scouring damage to the boiler water-cooled wall tubes, and waste of electricity and steam caused by misjudgments. Therefore, the technical solution of this application can significantly extend the service life of the sootblower nozzle and boiler heating surfaces, reduce operating costs, improve the economy and safety of boiler operation, and achieve intelligent and precise sootblower control. Attached Figure Description

[0019] To illustrate this application more clearly, the accompanying drawings used in the embodiments will be briefly described below. Obviously, those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0020] Figure 1 The diagram above illustrates a flow chart of a steam soot blower speed regulation purging control method in an embodiment. Figure 2 The diagram above exemplifies the structure of a steam soot blower speed regulation purging control system according to an embodiment.

[0021] Figure reference numerals: 100, Steam soot blower speed regulation and purging control system; 10, Data acquisition module; 20, Resistance characteristic identification module; 30, Resistance reference value management module; 40, Coking resistance separation module; 50, Purging parameter adjustment module. Detailed Implementation

[0022] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0023] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0024] In large thermal power plants, the stable operation of steam boilers is crucial for power generation. Steam sootblowers play a key role in removing ash and coking from the boiler's heated surfaces. Sootblowers typically use variable frequency motors to drive the sootblowing nozzle to extend, retract, and rotate, injecting high-pressure steam for purging. However, the sootblowing nozzle, operating repeatedly in a harsh environment of alternating high and low temperatures, is prone to slight but permanent bending deformation. This deformation causes additional mechanical frictional resistance between the nozzle and the traveling mechanism at specific stroke positions. Existing sootblowing control methods often determine the total resistance experienced by the sootblowing nozzle by monitoring changes in the drive motor current, attributing it primarily to increased coking within the furnace. This method fails to effectively distinguish between the fixed-position mechanical resistance caused by nozzle deformation and the actual coking resistance, leading to misjudgments of "false coking." This results in unnecessary accelerated or repeated purging, ultimately causing accelerated wear of the sootblower nozzle and boiler water-cooled wall tubes, as well as continuous waste of electrical energy and steam.

[0025] like Figure 1 The diagram illustrates a flow chart of a steam sootblower speed-regulating purging control method in an embodiment. This application proposes a steam sootblower speed-regulating purging control method, comprising: S10, acquire the stroke position data of the soot blowing gun barrel and the current signal of the drive motor, and synchronize and associate the stroke position data with the current signal; Among them, the sootblowing gun tube refers to the tubular component in the steam sootblower used to spray high-pressure steam, which extends into the boiler furnace and rotates during the purging process.

[0026] Stroke position data refers to the real-time position information of the sootblowing gun barrel during the extension and retraction process, which is usually obtained through displacement sensors or encoders.

[0027] The drive motor is the motor that drives the sootblowing gun tube to extend, retract, and rotate. Changes in its current signal can reflect the magnitude of the resistance experienced by the sootblowing gun tube.

[0028] S20, based on the synchronously associated stroke position data and current signal collected in multiple purging cycles, if a current anomaly with consistent current amplitude and change pattern occurs multiple times at the same stroke position, the stroke position is identified as a fixed mechanical resistance position. An abnormal current refers to the amplitude or change pattern of the current signal of the drive motor at a specific stroke position that is inconsistent with the normal operating state.

[0029] Fixed mechanical resistance position refers to the relatively stable additional resistance caused by mechanical structure (such as barrel deformation, friction of the travel mechanism, etc.) at a specific stroke position of the soot blowing gun barrel.

[0030] S30, for each of the fixed mechanical resistance positions, determine a dynamically adjustable mechanical resistance reference value; The mechanical resistance reference value refers to the benchmark value determined by historical data and algorithms for each fixed mechanical resistance location, used to characterize the magnitude of the mechanical resistance at that location.

[0031] S40, during the real-time purging process, the actual coking resistance signal value is obtained from the total current value of the drive motor based on the mechanical resistance reference value; The actual coking resistance signal value refers to the real resistance signal caused by ash accumulation and coking on the boiler heating surface, separated from the total current value of the drive motor.

[0032] S50, adjust the blowing parameters of the soot blower according to the actual coking resistance signal value.

[0033] Purging parameters refer to various parameters that affect the soot blowing effect and efficiency, such as nozzle movement speed, steam pressure, and purging duration.

[0034] This application avoids misjudging "false coking" by accurately identifying and separating fixed mechanical resistance from actual coking resistance, thereby realizing on-demand blowing and optimized operation of the sootblower. It effectively solves the problems of accelerated wear of sootblower nozzles and boiler water-cooled wall tubes, as well as the waste of electricity and steam in the prior art. The core of the steam sootblower speed regulation blowing control method proposed in this application lies in accurately distinguishing and processing fixed mechanical resistance and actual coking resistance.

[0035] First, in the data acquisition phase, it is necessary to acquire the stroke position data of the sootblowing nozzle and the current signal of the drive motor. Stroke position data can be acquired using a linear displacement sensor or rotary encoder installed on the sootblower; these sensors can monitor the extension and retraction position of the sootblowing nozzle in real time. The current signal of the drive motor can be acquired using a current transformer or a Hall effect sensor. To ensure data accuracy and synchronization, the stroke position data and current signal can be synchronously acquired using a high-speed data acquisition card and timestamped to achieve synchronous correlation between the two. For example, the stroke position and current data can be acquired every 10 milliseconds and stored as a pair of correlated data.

[0036] Secondly, based on the synchronously correlated stroke position data and current signals collected during multiple purging cycles, it is necessary to identify the fixed mechanical resistance location. During the initial operation of the sootblower or after a major overhaul, multiple purging cycles can be performed, and the stroke position data and current signals for each cycle can be recorded. By analyzing this historical data, if a consistent current anomaly in amplitude and variation occurs multiple times at the same stroke position, that stroke position can be identified as a fixed mechanical resistance location. For example, if, when the sootblower nozzle extends 10 meters into the middle of the furnace, and for ten consecutive purging cycles the drive motor current suddenly increases by 2 amperes from its normal value, and this increase lasts for approximately 0.5 seconds, then the 10-meter position can be identified as a fixed mechanical resistance location. This identification can be achieved by setting current and duration thresholds; when the current exceeds the threshold and persists for a certain period, it is considered an abnormal current.

[0037] Secondly, for each fixed mechanical resistance location, a dynamically adjustable mechanical resistance reference value needs to be determined. After identifying the fixed mechanical resistance locations, historical current data for these locations can be statistically analyzed. For example, the average and standard deviation of the drive motor current at these fixed mechanical resistance locations can be calculated, and the average value can be used as the initial mechanical resistance reference value. To make the reference value more dynamic, methods such as moving averages or exponential smoothing can be used to update the reference value based on data from the most recent few purging cycles. For example, at the end of each purging cycle, the mechanical resistance reference value for that fixed mechanical resistance location can be updated to adapt to the slow wear of the sootblower's mechanical components or environmental changes.

[0038] Next, during real-time purging, the actual coking resistance signal is extracted from the total current value of the drive motor based on the mechanical resistance reference value. When the sootblower passes an identified fixed mechanical resistance position during real-time purging, the current total current value of the drive motor is acquired. This total current value is then compared with the mechanical resistance reference value corresponding to that fixed mechanical resistance position. For example, the mechanical resistance reference value can be directly subtracted from the total current value, and the difference is considered the actual coking resistance signal value. If the difference is negative or close to zero, it indicates that there is no coking or very little coking resistance at that position. If the difference is positive and large, it indicates that actual coking exists at that position.

[0039] Finally, the sootblower's purging parameters are adjusted based on the actual coking resistance signal value. Once the actual coking resistance signal value is obtained, the sootblower's purging parameters can be dynamically adjusted according to its magnitude. For example, if the actual coking resistance signal value is small, indicating that coking is not severe, the current nozzle movement speed and steam pressure can be maintained, or even appropriately reduced to save energy. If the actual coking resistance signal value is large, indicating severe coking, the nozzle movement speed can be appropriately increased, the steam pressure increased, or the purging duration extended to enhance the purging effect. This adjustment can be linear or segmented, depending on the magnitude of the coking resistance signal value and the actual operating requirements of the boiler.

[0040] The steam sootblower speed-regulating purging control method proposed in this application forms a complete control closed loop through the coordinated operation of the above steps. First, by synchronously linking stroke position data and current signals, a foundation is provided for subsequent resistance analysis. Second, by analyzing data from multiple purging cycles, the location of fixed mechanical resistance is accurately identified, avoiding misjudgment as coking. Third, by dynamically adjusting the mechanical resistance reference value, accurate estimation of mechanical resistance is ensured, adapting even to slow changes in mechanical components. Next, by separating the actual coking resistance signal value from the total current, an accurate judgment of the actual coking situation is achieved. Finally, by dynamically adjusting the purging parameters based on the actual coking resistance signal value, the sootblower can perform on-demand purging, avoiding unnecessary over-purging or under-purging.

[0041] Compared with existing technologies, the innovation of this application lies in its ability to effectively distinguish between fixed mechanical resistance and actual coking resistance. Traditional methods often simply attribute the increase in drive motor current to increased coking, leading to misjudgments of "false coking." For example, when the sootblower nozzle generates additional frictional resistance due to deformation at a specific location, it is traditionally mistakenly assumed that the area is severely coked, thus instructing the sootblower to accelerate or repeatedly blow. This misjudgment not only wastes electrical energy and steam but also accelerates the wear of the sootblower nozzle and the boiler water-cooled wall tubes. This application, by introducing the identification of "fixed mechanical resistance location" and the dynamic adjustment of "mechanical resistance reference value," can separate the resistance caused by mechanical factors such as nozzle deformation from the total resistance, thereby obtaining a more accurate signal value of the actual coking resistance. This precise separation allows the sootblower to adjust parameters according to the actual coking situation, avoiding erroneous responses to "false coking." Therefore, this application can significantly reduce electrical energy and steam consumption, extend the service life of the sootblower and boiler heating surfaces, and improve economy and safety.

[0042] In some embodiments, the step of separating the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging includes: During real-time purging, the local ambient temperature is obtained when the soot blowing gun passes the fixed mechanical resistance position; Based on the local ambient temperature, the corresponding normal current range is found in the temperature-related current normal range table. The temperature-related current normal range table includes temperature ranges and corresponding upper and lower current limits. The temperature-related current normal range is established for each fixed mechanical resistance position based on the drive motor current data under different local ambient temperatures during the initial operation of the sootblower or during system calibration. Determine whether the total current value of the drive motor falls within the normal current range; If the total current value of the drive motor falls within the normal current range, it is determined that the total current value is entirely caused by mechanical resistance. If the total current value of the drive motor exceeds the upper limit of the normal current range, the excess portion will be determined as the actual coking resistance signal value.

[0043] Specifically, during real-time blowing operations of the sootblower, the local ambient temperature at the pre-identified fixed mechanical resistance position is simultaneously acquired when the sootblower nozzle passes that position. This local ambient temperature can be measured in real-time using a temperature sensor integrated on the sootblower nozzle or a temperature sensor positioned near the fixed mechanical resistance position. The temperature-related current normal range table is a pre-established database designed to store the normal fluctuation range of the drive motor current corresponding to each fixed mechanical resistance position under different temperature ranges. This table is established during the initial operation of the sootblower or during system calibration. By collecting and analyzing the drive motor current data under different local ambient temperature conditions without coking resistance, the upper and lower limits of the current corresponding to each temperature range are determined. For example, at a certain fixed mechanical resistance position, when the local ambient temperature is 200℃-250℃, the normal range of the drive motor current may be 10A-12A; while when the local ambient temperature is 300℃-350℃, the normal range may become 11A-13A. After acquiring the local ambient temperature, the system searches the temperature-related current normal range table to find the normal current range corresponding to the current temperature range. Then, it compares the real-time acquired total drive motor current value with the found normal current range. If the total drive motor current value falls within this normal range, the current is considered to be entirely caused by mechanical resistance, and the actual coking resistance signal value is determined to be zero. Conversely, if the total drive motor current value exceeds the upper limit of the normal current range, the portion exceeding the upper limit is precisely determined as the actual coking resistance signal value.

[0044] The technical solution of this application introduces local ambient temperature as a key factor affecting mechanical resistance and establishes a temperature-related current normal range table. This allows for more accurate elimination of mechanical resistance fluctuations caused by temperature changes when separating actual coking resistance signal values. Because mechanical resistance may exhibit different current characteristics at different temperatures, traditional methods using a single fixed mechanical resistance reference value may misinterpret temperature-induced mechanical resistance changes as coking resistance, or vice versa. By dynamically adjusting the normal current range based on local ambient temperature, when the total current value of the drive motor exceeds the upper limit of the normal range at a specific temperature, the excess portion is reliably identified as actual coking resistance. This avoids misinterpreting temperature-induced mechanical resistance changes as coking resistance and improves the accuracy of purging control.

[0045] The above technical solution effectively solves the problem of inaccurate coking resistance separation caused by the failure to consider the influence of ambient temperature on mechanical resistance in traditional methods. By establishing a normal range table of temperature-related currents and dynamically searching and judging based on real-time local ambient temperature, it ensures that mechanical resistance can be more accurately identified and eliminated under different operating environments, thus making the acquisition of actual coking resistance signal values ​​more precise. This helps avoid over-purging or under-purging, improves soot blowing efficiency, extends equipment life, and reduces energy consumption.

[0046] In some optional embodiments, it is assumed that the local ambient temperature is 300°C in real time when the sootblowing gun passes through a fixed mechanical resistance position. According to a pre-established normal range table of temperature-related current, the normal range of the drive motor current is found to be 10A to 12A when the local ambient temperature is 300°C. During real-time purging, if the total current of the drive motor is 13A at this time, since 13A exceeds the upper limit of 12A, the excess 1A (i.e., 13A minus 12A) will be accurately determined as the actual coking resistance signal value. If the technical solution of this application is not adopted, and only a fixed upper limit of mechanical resistance current is set (for example, it may be set to 11A when temperature is not considered), then at 300°C, the total current of 13A may be incorrectly interpreted as having 2A of coking resistance, resulting in over-adjustment of purging parameters, causing energy waste or equipment wear. Conversely, if the local ambient temperature is low, such as 200°C, the normal current range might be 9A to 11A. If the total current is 10A, it would be considered as having no coking resistance. If the normal range at 300°C is used without considering temperature, it might be incorrectly assumed that there is coking resistance, leading to unnecessary purging. Therefore, the technical solution of this application significantly improves the accuracy of coking resistance identification by dynamically adapting to ambient temperature.

[0047] In some embodiments, the step of determining a dynamically adjustable mechanical resistance reference value for each of the fixed mechanical resistance locations includes: In the initial N purging cycles, when the soot blowing gun tube passes the fixed mechanical resistance position, the current signal of the drive motor is collected in real time, and the current peak value, current peak duration and current rise slope are extracted from the current signal as feature parameters. The mean and standard deviation of the feature parameters are calculated to determine the typical fluctuation range of the current peak value, the current peak duration and the current rise slope. Based on the typical fluctuation range, a three-dimensional mechanical resistance feature space is constructed with the current peak value, current peak value duration, and current rise edge slope as three orthogonal dimensions. The set of average values ​​of the current peak value, current peak value duration, and current rise edge slope collected in the initial N purging cycles is used as the initial mechanical resistance reference set. During real-time purging, when the soot blowing gun barrel passes the fixed mechanical resistance position, the characteristic parameters of the current signal of the drive motor are extracted in real time. The real-time extracted feature parameters are compared with the initial mechanical resistance reference set, and the Euclidean distance between them and the initial mechanical resistance reference set is calculated as the deviation. The initial mechanical resistance reference set is adjusted based on the deviation. Based on the initial set of mechanical resistance references, the mechanical resistance reference values ​​are obtained through weighted fusion calculation.

[0048] Specifically, during the initial N purging cycles, the current signal of the drive motor is collected in real time as the sootblowing gun passes through a pre-identified fixed mechanical resistance position. From these current signals, the peak current, peak current duration, and current rise slope are extracted as characteristic parameters characterizing the mechanical resistance. The peak current reflects the magnitude of the resistance, the peak current duration reflects the range or duration of the resistance effect, and the current rise slope reflects the drastic change in resistance. The mean and standard deviation of these characteristic parameters are calculated to quantify their central tendency and dispersion under normal operating conditions, thereby determining a typical fluctuation range that represents the normal mechanical resistance performance under coking-free conditions.

[0049] Furthermore, based on the determined typical fluctuation range, a three-dimensional mechanical resistance feature space is constructed using three orthogonal dimensions: current peak value, current peak duration, and current rise slope. This feature space can comprehensively and multidimensionally describe the characteristics of mechanical resistance. The set of average values ​​of current peak value, current peak duration, and current rise slope collected in the initial N purging cycles is used as the initial mechanical resistance reference set. This set serves as a benchmark, representing the mechanical resistance characteristics under the initial stable operating state.

[0050] During real-time purging, characteristic parameters of the drive motor's current signal are extracted in real time as the sootblowing nozzle passes through the same fixed mechanical resistance position. These extracted characteristic parameters are then compared with an initial mechanical resistance reference set. By calculating the Euclidean distance between the real-time characteristic parameters and the initial mechanical resistance reference set, a deviation can be obtained. The Euclidean distance is used here to quantify the degree of difference between the real-time mechanical resistance characteristics and the reference mechanical resistance characteristics.

[0051] The initial mechanical resistance reference set is dynamically adjusted based on the calculated deviation. This adjustment mechanism allows for adaptation to subtle changes in mechanical resistance caused by factors such as long-term wear of mechanical components, changes in lubrication conditions, or fluctuations in ambient temperature. Finally, based on the adjusted initial mechanical resistance reference set, a weighted fusion calculation is performed to obtain the final mechanical resistance reference value. Weighted fusion can assign different weights to different characteristic parameters based on their importance or reliability, thereby improving the accuracy and robustness of the reference value.

[0052] The technical solution of this application characterizes mechanical resistance by introducing multi-dimensional feature parameters (peak current, peak current duration, and current rise slope) and constructing a three-dimensional mechanical resistance feature space, making the description of mechanical resistance more comprehensive and refined. Traditional single current values ​​or simple average values ​​are insufficient to capture the complex dynamic changes in mechanical resistance. By establishing a typical fluctuation range including the mean and standard deviation, and an initial mechanical resistance reference set in the initial N purging cycles, a reliable benchmark is provided for subsequent real-time monitoring. During real-time purging, the feature parameters extracted in real time are compared with this benchmark using Euclidean distance, which can accurately quantify the deviation between the current mechanical resistance and the historical normal state. More importantly, the initial mechanical resistance reference set is dynamically adjusted based on this deviation, allowing the mechanical resistance reference value to adaptively reflect long-term changes in equipment operating conditions, such as component wear, changes in lubrication conditions, or fluctuations in ambient temperature. Therefore, this method can continuously update and optimize the mechanical resistance reference value, ensuring that it always maintains a high degree of consistency with the actual mechanical resistance, thus laying a solid foundation for accurately separating the actual coking resistance signal value from the total current value.

[0053] Through the above technical solution, this application can dynamically and accurately determine the mechanical resistance reference value at the fixed mechanical resistance position of the steam sootblower. Compared with using static or simple average values ​​as a reference, this technical solution significantly improves the accuracy and adaptability of the mechanical resistance reference value through the extraction of multi-dimensional feature parameters, the construction of a three-dimensional feature space, and a dynamic adjustment mechanism based on Euclidean distance. This allows for a more effective separation of the mechanical resistance component in the total current value of the drive motor from the actual coking resistance component during real-time purging, avoiding misjudgments of coking caused by changes in mechanical resistance. Consequently, the adjustment of purging parameters will be more precisely targeted at the actual coking situation, thereby improving sootblowing efficiency, reducing unnecessary energy consumption, and extending the service life of the sootblower and boiler heating surfaces.

[0054] In some alternative embodiments, it is assumed that initial data acquisition was performed for N=50 purging cycles during the initial operation of a steam sootblower. The current signal of the drive motor was acquired in real time as the sootblower tube passed a fixed mechanical resistance position (e.g., at a stroke position of 150 mm). By analyzing the data from these 50 cycles, the peak current, peak current duration, and current rise slope at that position were extracted, and their mean and standard deviation were calculated to construct an initial mechanical resistance reference set for that position. For example, the initial reference set might indicate that at that position, the average peak current is 10 A, the average duration is 0.5 s, and the average rise slope is 20 A / s.

[0055] During subsequent real-time purging, when the sootblower nozzle passes the 150mm travel position again, the current characteristic parameters are extracted in real time. For example, a real-time current peak value of 10.2A, a duration of 0.52s, and a rise rate of 21A / s are acquired. These real-time characteristic parameters are input into the three-dimensional mechanical resistance characteristic space, and their Euclidean distance from the initial mechanical resistance reference set is calculated. If the calculated deviation is small, indicating that the mechanical resistance is within the normal fluctuation range, the initial mechanical resistance reference set may only be fine-tuned or not adjusted. However, after thousands of purging cycles, due to slight wear of mechanical components or aging of lubricating oil, the real-time acquired characteristic parameters begin to deviate continuously from the initial reference set (e.g., the average current peak value becomes 10.5A, the average duration becomes 0.55s, and the average rise rate becomes 22A / s). At this time, the calculated Euclidean distance will show a significant deviation. Based on this deviation, the initial mechanical resistance reference set will be dynamically adjusted to gradually approach the new actual mechanical resistance state. For example, through weighted fusion, the new mechanical resistance reference value may be updated to a combination closer to 10.5A, 0.55s, and 22A / s. This dynamic adjustment ensures that the mechanical resistance reference value accurately reflects the long-term evolution of the equipment's operating status, thereby enabling more precise identification of the true coking resistance in subsequent coking resistance separation steps and avoiding misjudging normal mechanical wear or environmental changes as coking.

[0056] In some embodiments, the step of separating the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging includes: Real-time acquisition of the total current value of the drive motor; Real-time analysis of the rate of change and duration of the total current value is used to determine the type of resistance anomaly. When the type of resistance anomaly is a brief mechanical obstruction, the actual coking resistance signal value is determined to be zero. When the resistance anomaly type is actual coking resistance, the actual coking resistance signal value is determined to be the difference between the total current value and the mechanical resistance reference value.

[0057] Specifically, during the blowing operation of the sootblowing gun, the current data of the drive motor at various stroke positions is continuously collected to obtain the total current value of the drive motor in real time. This total current value reflects the energy input required by the drive motor to overcome all resistances (including mechanical resistance, coking resistance, and other instantaneous resistances).

[0058] Furthermore, the rate of change and duration of the total current value are analyzed in real time to determine the type of resistance anomaly, and the real-time acquired total current value is dynamically monitored and analyzed. The rate of change can be understood as the increment or decrement of the current value per unit time, reflecting the drastic degree of resistance change; the duration refers to the length of time from the start to the end of the abnormal current fluctuation, reflecting the persistence of the resistance effect. By comprehensively analyzing these two parameters, a preliminary judgment can be made on the nature of the resistance anomaly. For example, a rapidly rising current peak with a short duration may indicate temporary mechanical resistance, while a relatively gradual rise in current with a longer duration may indicate actual coking resistance.

[0059] Specifically, when the abnormal resistance type is determined to be a transient mechanical obstruction, the actual coking resistance signal value is set to zero. A transient mechanical obstruction refers to a non-continuous, non-coking resistance caused by slight jamming, momentary contact with foreign objects, or other reasons during the movement of the sootblowing nozzle. This type of obstruction typically manifests as a rapid, transient fluctuation in the current signal, with an extremely short duration. Setting it to zero aims to avoid misclassifying non-coking factors as coking resistance.

[0060] In practical applications, when the abnormal resistance type is determined to be actual coking resistance, the actual coking resistance signal value is determined to be the difference between the total current value and the mechanical resistance reference value. Actual coking resistance refers to the obstruction of soot blowing gun movement caused by ash or coke buildup on the boiler heating surface. This type of resistance typically manifests as a continuous increase in the current signal, and its rate of change and duration characteristics differ significantly from those of transient mechanical obstruction. By subtracting the known mechanical resistance reference value, the resistance component caused by coking can be separated more accurately.

[0061] The technical solution of this application effectively distinguishes between different types of resistance anomalies by introducing real-time analysis of the rate of change and duration of the total current value of the drive motor. When the sootblowing nozzle encounters resistance during the purging process, the current of the drive motor will increase accordingly. If this current increase is caused by a brief mechanical jam or instantaneous friction, its rate of change is usually rapid and its duration is extremely short. By setting appropriate thresholds and judgment logic, the characteristics of this "brief mechanical obstruction" can be identified and distinguished from the actual coking resistance. This avoids misjudging non-coking factors as coking resistance and ensures the accuracy of subsequent purging parameter adjustments. Conversely, if the current increase exhibits a relatively slow rate of change and a longer duration, it is more likely to indicate actual coking resistance. In this case, by subtracting a predetermined mechanical resistance reference value from the total current value, the resistance component caused by coking can be accurately extracted, providing a reliable basis for subsequent purging parameter adjustments.

[0062] Through the above technical solution, this application can significantly improve the accuracy of identifying abnormal resistance types during the steam sootblower purging process. By analyzing the rate of change and duration of the total current value of the drive motor in real time, it is possible to effectively distinguish between transient mechanical resistance and actual coking resistance. This avoids misjudging instantaneous, non-coking resistance as coking, thereby preventing unnecessary or excessive adjustments to purging parameters due to misjudgment. Thus, it ensures the accuracy and relevance of purging parameter adjustments, improves sootblowing efficiency, reduces unnecessary wear and energy consumption on the equipment, and extends the service life of the sootblower.

[0063] In some optional embodiments, it is assumed that during the purging operation of the sootblowing gun, the total current value of the drive motor suddenly increases rapidly from a normal value (e.g., 10A) to 15A at a certain stroke position, and then quickly returns to the normal value within 0.5 seconds. At this time, the rate of change of this current signal (e.g., a current increase of 5A in a very short time) and the duration (0.5 seconds) are analyzed in real time. According to a preset judgment logic, if the current increase rate exceeds a certain threshold and the duration is less than another threshold (e.g., the duration is less than 1 second), the anomaly is identified as a "transient mechanical obstruction." In this case, the actual coking resistance signal value is determined to be zero, and even if there is a brief increase in current, it will not trigger the calculation of coking resistance or the adjustment of purging parameters, thereby avoiding misjudgment.

[0064] For example, in another scenario, the total current of the drive motor at a certain stroke position gradually increases from a normal value (e.g., 10A) to 13A and remains there for 5 seconds before slowly decreasing. The rate of change of this current signal (e.g., a relatively gradual increase of 3A within 5 seconds) and the duration (5 seconds) are analyzed in real time. According to a preset judgment logic, if the current increase rate is below a certain threshold and the duration exceeds another threshold (e.g., the duration is greater than 2 seconds), this anomaly is identified as "actual coking resistance." At this point, based on a pre-determined mechanical resistance reference value for that stroke position (e.g., a mechanical resistance reference value of 11A), the actual coking resistance signal value is calculated as the difference between the total current value of 13A and the mechanical resistance reference value of 11A, i.e., 2A. This 2A actual coking resistance signal value will be used for subsequent purging parameter adjustments, such as increasing steam pressure or decreasing nozzle movement speed, to effectively remove coking.

[0065] In some embodiments, the step of adjusting the blowing parameters of the sootblower based on the actual coking resistance signal value includes: Determine the type of boiler heating surface in the purging area; The parameter adjustment priority is determined based on the boiler heating surface type and the actual coking resistance signal value. Adjust the priority based on the parameters, and adjust the nozzle movement speed, steam pressure, or purging duration of the soot blower; The actual coking resistance signal value after purging is continuously monitored, and the nozzle moving speed, steam pressure, or purging duration is iteratively adjusted.

[0066] Specifically, the boiler heating surface type in the purging area refers to the type of internal boiler component corresponding to the current purging position of the sootblower, such as superheater, reheater, economizer, or water wall. Different types of heating surfaces have different structures, materials, and tolerances to purging intensity, thus requiring differentiated purging strategies. This step aims to provide important contextual information for subsequent parameter adjustments.

[0067] When adjusting purging parameters, not all parameters (nozzle movement speed, steam pressure, and purging duration) have the same adjustment order or weight. The parameter adjustment priority is determined based on the boiler heating surface type and the actual coking resistance signal value. For example, for some heating surfaces sensitive to steam pressure, nozzle movement speed may be adjusted first to avoid excessive impact; while for areas with severe coking and good heating surface tolerance, steam pressure may be adjusted first to enhance the cleaning effect. Determining the parameter adjustment priority aims to ensure that boiler heating surfaces are protected to the greatest extent possible while effectively removing coking.

[0068] In practical applications, the specific operating parameters of the sootblower are modified according to preset priority rules. The priority of these parameters is adjusted, thereby regulating the nozzle movement speed, steam pressure, or purging duration. Adjusting the nozzle movement speed changes the duration of steam contact in the coking area, adjusting the steam pressure alters the purging intensity, and adjusting the purging duration controls the overall cleaning time. These parameter adjustments are crucial for achieving precise purging control.

[0069] Furthermore, after completing one parameter adjustment and purging cycle, the process does not stop immediately. Instead, it continues to acquire and monitor the actual coking resistance signal after purging, iteratively adjusting the nozzle movement speed, steam pressure, or purging duration. By comparing the changes in coking resistance before and after purging, the effectiveness of the current parameter adjustment is evaluated. If the coking resistance is still higher than expected, the purging parameters will be adjusted again according to a preset iterative strategy until the ideal cleaning effect or safe operation requirements are met. This iterative adjustment mechanism ensures the adaptability and optimization of the purging process.

[0070] The technical solution of this application solves the problem of the lack of specificity in parameter adjustment in traditional methods by introducing the identification of the boiler heating surface type in the purging area and combining it with the actual coking resistance signal value to determine the priority of parameter adjustment. Specifically, when the boiler heating surface type in the purging area is identified, the inherent characteristics of that type of heating surface can be obtained, such as its material strength and sensitivity to thermal shock and mechanical wear. Subsequently, these heating surface characteristics are comprehensively considered with the real-time detected actual coking resistance signal value to intelligently determine the most suitable purging parameters and their adjustment range. For example, for heating surfaces with fragile structures or those susceptible to corrosion, even if the coking resistance is high, it may be preferable to adjust the nozzle movement speed or purging duration to avoid damage to the heating surface caused by excessive steam pressure. Conversely, for heating surfaces with strong tolerance, when facing severe coking, it may be preferable to moderately increase the steam pressure to quickly remove the coking. Furthermore, by continuously monitoring the actual coking resistance signal value after purging and making iterative adjustments, the technical solution of this application can ensure the real-time optimization and adaptability of the purging effect, avoiding the under-purging or over-purging problems that may be caused by adjusting fixed parameters.

[0071] Through the above technical solution, this application enables refined and intelligent adjustment of the steam sootblower purging parameters. Compared with methods that only make coarse adjustments based on coking resistance, this application, by fully considering the specific type and sensitivity of the boiler's heating surfaces, makes the adjustment of purging parameters more targeted, thereby significantly improving sootblowing efficiency and ensuring effective removal of coke. Simultaneously, because the parameter adjustment strategy can be optimized according to the characteristics of the heating surfaces, it effectively avoids wear, corrosion, or fatigue damage to the heating surfaces caused by improper purging, extending the service life of boiler components and reducing maintenance costs. Furthermore, the iterative adjustment mechanism ensures the adaptability and optimization of the purging process, enabling dynamic adjustment of the strategy based on the actual cleaning effect, further improving the economy and safety of purging, and providing a strong guarantee for the stable and efficient operation of the boiler.

[0072] In some alternative embodiments, it is assumed that during a real-time purging process, a sootblowing nozzle is detected purging the superheater area of ​​the boiler, and the actual coking resistance signal indicates moderate coking in that area. First, the boiler heating surface type in the purging area is identified as a superheater. Superheaters are typically made of alloy steel and are highly sensitive to the impact and corrosion of high-temperature steam. Next, based on the sensitivity characteristics of the superheater and the actual coking resistance signal indicating moderate coking, parameter adjustment priorities are determined. In this example, to avoid damage to the superheater, the adjustment priority of "nozzle movement speed" might be set to the highest, followed by "purging duration," and finally "steam pressure." Specifically, the nozzle movement speed might first be reduced by 10% to increase the time the steam interacts with the coking area. After this adjustment and purging, the actual coking resistance signal is continuously monitored. If the coking resistance decreases but still does not reach the target value, iterative adjustments are made; for example, the purging duration is increased by 5 seconds while keeping the nozzle movement speed constant. In this way, the technical solution of this application can intelligently select and adjust the most suitable purging parameters according to the specific boiler heating surface type and coking situation, thereby efficiently removing coking while protecting the boiler equipment to the greatest extent.

[0073] In some embodiments, the step of determining the parameter adjustment priority based on the boiler heating surface type and the actual coking resistance signal value includes: Obtain the current status information of the boiler heating surface materials in the purging area; The current status information is associated with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library; Based on the boiler heating surface type in the purging area, the corresponding heating surface sensitivity feature is queried from the heating surface sensitivity feature database; Based on the sensitivity characteristics of the heated surface and the actual coking resistance signal value, the priority of parameter adjustment is determined.

[0074] Specifically, various sensors or detection methods are used to acquire physical or chemical state data of the boiler heating surface materials in real time or periodically, enabling the acquisition of current state information of the boiler heating surface materials in the purging area. For example, the thickness of the heating surface tube wall, surface roughness, crack condition, and degree of corrosion can be obtained. The purpose is to provide more detailed data on the condition of the heating surface to compensate for the inadequacy of relying solely on type judgment.

[0075] This involves associating the current state information with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library. This can be understood as constructing a database containing different boiler heating surface types and their sensitivity characteristics under different current states. This sensitivity feature library can be pre-built or dynamically updated during operation through learning and data accumulation. For example, for a specific type of heating surface, when its wall thickness is below a certain threshold, its sensitivity to purging parameters (such as steam pressure and nozzle movement speed) will significantly increase, requiring a more conservative purging strategy. The purpose is to provide a refined basis for determining the priority of subsequent parameter adjustments.

[0076] In practical applications, based on the boiler heating surface type corresponding to the current purging area, sensitivity feature data related to that type is retrieved and extracted from the established heating surface sensitivity feature database. This feature data can include indicators such as the tolerance and vulnerability of that type of heating surface under different degrees of wear and corrosion. The aim is to obtain customized sensitivity information specific to the current heating surface type and its specific condition.

[0077] Furthermore, by comprehensively considering the actual sensitivity of the heated surface material (reflected by sensitivity characteristics) and the current degree of coking (reflected by the actual coking resistance signal value), the priority of purging parameters is dynamically adjusted. This allows for determining parameter adjustment priorities based on the heated surface sensitivity characteristics and the actual coking resistance signal value. For example, when the heated surface sensitivity is high (e.g., thin pipe wall, severe corrosion), even if the coking resistance signal value is high, it may be preferable to prioritize adjusting a milder parameter among nozzle movement speed, steam pressure, or purging duration, rather than directly and significantly increasing the steam pressure to avoid damaging the heated surface. Conversely, when the heated surface sensitivity is low, the steam pressure can be adjusted more aggressively to improve cleaning efficiency. The aim is to achieve the optimal balance between purging effectiveness and heated surface protection.

[0078] The technical solution of this application introduces the acquisition of current state information of boiler heating surface materials in the purging area and establishes a heating surface sensitivity feature library by associating it with the heating surface type. This allows for a more comprehensive and precise consideration of the actual condition of the heating surface when determining parameter adjustment priorities. Because it can acquire and utilize the current state information of the heating surface materials, it no longer relies solely on a preset heating surface type, but can dynamically assess the sensitivity of the heating surface to purging parameters based on actual wear, corrosion, and other conditions. Based on this, and combined with actual coking resistance signal values, it can more intelligently balance the relationship between cleaning effect and heating surface protection, avoiding over-purging or under-purging problems caused by insufficient consideration of the heating surface condition.

[0079] Through the above technical solution, this application can significantly improve the intelligence and precision of the speed-regulating purging control of steam soot blowers. Compared with the basic technical solution that determines the parameter adjustment priority solely based on the boiler heating surface type and the actual coking resistance signal value, this application, by introducing consideration of the current state information of the heating surface material, enables the parameter adjustment priority to more accurately reflect the actual tolerance capacity of the heating surface. This not only helps to maximize the protection of the boiler heating surface and extend its service life while ensuring effective removal of coking, but also avoids equipment damage or energy waste caused by improper purging parameters, thereby improving the safety, economy, and efficiency of soot blowing operations.

[0080] In some optional embodiments, it is assumed that in a certain purging area, the boiler heating surface type is water-cooled wall tubes. During real-time purging, the wall thickness of the water-cooled wall tubes in that area is first obtained using an ultrasonic sensor integrated on the sootblowing gun tube, for example, if the wall thickness is detected to have worn down to 80% of the design thickness. This wall thickness represents the current state information of the boiler heating surface material. Subsequently, this current state information (the degree of wall thickness wear) is correlated with the water-cooled wall tube type and queried in a pre-established heating surface sensitivity feature library. This feature library may indicate that when the water-cooled wall tube is worn down to 80%, its tolerance to high steam pressure is significantly reduced, and the sensitivity feature is "high sensitivity". At the same time, a high actual coking resistance signal value is detected in this area, indicating severe coking. At this point, based on the "high sensitivity" of the heated surface and the "high" actual coking resistance signal value, the nozzle movement speed in the purging parameters will be preferentially reduced to increase the purging time. The steam pressure will also be moderately adjusted, rather than directly and significantly increased, thus effectively removing coking while avoiding further damage to the already worn water-cooled wall tubes. The actual coking resistance signal value after purging will be continuously monitored, and the purging parameters will be iteratively adjusted based on feedback to achieve the best cleaning and protection effect.

[0081] In some embodiments, the step of obtaining the current state information of the boiler heating surface material in the purging area includes: During the purging process, when the ultrasonic sensor integrated on the soot blowing gun tube passes the boiler heating surface in the purging area, it emits ultrasonic pulses. The reflected echo is received by the ultrasonic sensor, and the thickness of the heated surface tube wall is calculated based on the time difference between transmission and reception. The thickness is used as information about the current state of material wear or corrosion.

[0082] An ultrasonic sensor, a device capable of emitting and receiving ultrasonic waves, is integrated into the sootblowing gun tube to scan the boiler's heating surface as the tube moves during purging operations. When the ultrasonic sensor passes the boiler's heating surface in the purging area, it is configured to emit ultrasonic pulses. These pulses are reflected upon encountering the heating surface tube wall. The ultrasonic sensor then receives the reflected echo. By precisely measuring the time difference between the emission of the ultrasonic pulse and the reception of the reflected echo, the thickness of the heating surface tube wall can be calculated based on the propagation speed of ultrasound in the material. This calculated thickness value directly reflects the actual condition of the heating surface material, such as whether there is wear or corrosion due to long-term operation, thus serving as information on the current state of material wear or corrosion.

[0083] The technical solution of this application achieves real-time or near-real-time measurement of the wall thickness of boiler heating surfaces by integrating an ultrasonic sensor onto the sootblowing gun tube. When the sootblowing gun tube performs purging operations inside the boiler, the ultrasonic sensor simultaneously emits ultrasonic pulses to the traversed heating surface area and receives the reflected echoes. By analyzing the propagation time of the ultrasonic waves, the actual thickness of the heating surface tube wall can be accurately calculated. This thickness data directly reflects the degree of wear or corrosion of the heating surface material, providing a quantitative basis for assessing the health status of the heating surface. Thus, the current state information of the boiler heating surface material in the purging area can be obtained, providing key input for subsequent establishment of a heating surface sensitivity feature library and determination of parameter adjustment priorities.

[0084] The above technical solution enables non-contact, real-time, or near-real-time monitoring of wear and corrosion on boiler heating surface materials. Compared to traditional periodic shutdown inspections or indirect assessments, this solution provides more accurate and timely data on the wall thickness of the heating surface tubes, thus accurately obtaining information on the current condition of the materials. This allows for careful consideration of the actual health condition of the heating surface when prioritizing parameter adjustments, preventing accelerated wear due to over-purging or exacerbated coking due to insufficient purging. Consequently, adjustments to purging parameters become more targeted and protective, effectively extending the service life of the boiler heating surface while ensuring purging efficiency.

[0085] In some embodiments, the step of querying the corresponding heating surface sensitivity feature from the heating surface sensitivity feature database according to the boiler heating surface type of the purging area includes: Multiple ultrasonic sensors are integrated along the axial and / or radial distribution on the soot blowing gun barrel; During the purging process, when multiple ultrasonic sensors pass through the boiler heating surface in the purging area, they respectively emit ultrasonic pulses and receive reflected echoes. Based on the time difference between the transmission and reception of each ultrasonic sensor, the wall thickness of the heated surface at multiple local locations within the purging area is calculated. The wall thickness of the heated surface at multiple local locations is used as information on the current state of material wear or corrosion. The current status information of multiple local locations is associated with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library, which contains sensitivity assessments of different local locations in the purging area.

[0086] Specifically, multiple ultrasonic sensors are integrated along the axial and / or radial distribution on the sootblowing gun tube to achieve more comprehensive coverage and finer detection of the boiler's heated surfaces within the purging area. The sensors are arranged axially along the extension and retraction direction of the sootblowing gun tube, enabling continuous scanning of different cross-sections of the heated surfaces as the tube moves forward or backward. The sensors are also arranged radially around the circumference of the sootblowing gun tube, allowing detection of different angles or sides of the heated surfaces as the tube rotates. These ultrasonic sensors are configured to emit ultrasonic pulses and receive reflected echoes, with the aim of obtaining distance information by measuring the propagation time of the ultrasonic waves in the medium.

[0087] Furthermore, based on the time difference between the transmission and reception of each ultrasonic sensor, the wall thickness of the heated surface at multiple local locations within the purging area can be accurately calculated. Wall thickness is a key indicator for assessing the degree of material wear or corrosion; a decrease in thickness generally indicates reduced material strength and increased sensitivity. Therefore, using the wall thickness of the heated surface at these multiple local locations as current information on material wear or corrosion provides richer and more spatially resolved data on the health status of the heated surface than a single measurement point.

[0088] Based on this, the current state information of these multiple local locations is correlated with the boiler heating surface type of the purging area to establish a heating surface sensitivity feature library. The unique feature library is that it includes sensitivity assessments for different local locations within the purging area. This means that the feature library is no longer a general sensitivity description, but rather provides a unique sensitivity assessment for each or each group of local areas on the heating surface. For example, one area may be more sensitive to steam pressure changes due to thinner pipe walls, while another area may be relatively tolerant.

[0089] The technical solution of this application integrates multiple ultrasonic sensors on the sootblowing gun tube and distributes them axially and / or radially, thereby enabling multi-point and multi-angle scanning of the boiler heating surface within the purging area. This allows for the acquisition of wall thickness data for the heating surface at multiple local locations within the purging area, which is used as current status information reflecting the degree of material wear or corrosion. By associating this spatially resolved local status information with the boiler heating surface type, this application can establish a heating surface sensitivity feature library containing sensitivity assessments for different local locations within the purging area. The establishment of this feature library allows for querying heating surface sensitivity features not based on an overall or average sensitivity, but rather on a refined sensitivity assessment for a specific local location on the heating surface. This refined sensitivity assessment provides a more accurate and comprehensive basis for subsequent adjustments to purging parameters, effectively solving the problem of inaccurate sensitivity assessments caused by the lack of local status information in traditional technical solutions.

[0090] Through the above technical solution, this application enables refined and localized monitoring of the material condition of boiler heating surfaces, significantly improving the accuracy and spatial resolution of the heating surface sensitivity feature library. Because it can acquire tube wall thickness information at multiple local locations within the purging area and establish a feature library containing sensitivity assessments for different local locations, it can more accurately identify weak or highly worn areas on the heating surface when determining parameter adjustment priorities. This allows the adjustment of purging parameters to better adapt to the localized differences in the heating surface, avoiding damage caused by over-purging of sensitive areas while ensuring effective cleaning of severely coking areas. Therefore, it not only improves soot blowing efficiency and extends the service life of boiler heating surfaces but also reduces the risk of equipment failure caused by improper purging, achieving intelligent and refined control of the purging process.

[0091] In some alternative embodiments, it is assumed that the superheater region of a boiler is the target area for purging, where the heated surface tube bundles may experience uneven wear in certain areas during long-term operation. To accurately assess its sensitivity, multiple ultrasonic sensors are integrated along both the axial and radial directions on the sootblowing gun tube. These sensors operate synchronously as the sootblowing gun tube purges the superheater region, scanning each tube bundle it passes through. For example, when the sensor array passes through tube bundle A, it detects that the upper tube wall thickness is 3.5 mm, the middle is 3.2 mm, and the lower is 3.0 mm; while when passing through the adjacent tube bundle B, it detects that the tube wall thickness is greater than 3.8 mm in all areas. This localized tube wall thickness data is collected in real time and used as current status information for material wear or corrosion.

[0092] Subsequently, this local state information is correlated with the superheater, a boiler heating surface type, and the heating surface sensitivity feature library is updated or queried. In this feature library, the lower region of tube bundle A is assessed as a high-sensitivity region due to its thinnest tube wall, while tube bundle B is assessed as a medium-sensitivity region. When adjusting purging parameters based on actual coking resistance signal values ​​during real-time purging, this refined sensitivity feature library is preferentially referenced. For example, when the sootblowing nozzle passes through the lower high-sensitivity region of tube bundle A, even if the actual coking resistance signal value is high, the nozzle movement speed may be reduced or the steam pressure slightly decreased to avoid damaging the thin tube wall; while when passing through tube bundle B, the steam pressure or purging duration can be more aggressively adjusted based on the actual coking resistance signal value to ensure efficient coking removal. This parameter adjustment strategy based on local sensitivity assessment significantly improves the accuracy and safety of purging.

[0093] In some embodiments, the step of determining the parameter adjustment priority based on the sensitivity characteristics of the heated surface and the actual coking resistance signal value includes: Based on the sensitivity characteristics of the heated surface, an initial protection tendency is set; Based on the actual coking resistance signal value, the initial cleaning tendency is set; When the initial protection tendency conflicts with the initial cleaning tendency, the boiler operating load, fuel type, and wear degree of the sootblower nozzle are obtained; Based on the boiler operating load, the fuel type, and the wear degree of the sootblower nozzle, the initial protection tendency and the initial cleaning tendency are dynamically weighted to obtain the target protection tendency and the target cleaning tendency. Adjust the parameters and priority based on the target's protection tendency and cleanliness tendency.

[0094] Specifically, based on the sensitivity characteristics of the boiler heating surfaces in the purging area, a weight or priority is preset to favor protecting the heating surfaces, thus setting an initial protection tendency. For example, when the sensitivity characteristics of the heating surfaces indicate thin tube walls or signs of corrosion, the initial protection tendency will be set to a higher value to avoid damage caused by excessive purging. Based on the actual coking resistance signal value, a weight or priority is preset to favor removing coking, thus setting an initial cleaning tendency. For example, when the actual coking resistance signal value is high, indicating severe coking, the initial cleaning tendency will be set to a higher value to ensure effective cleaning.

[0095] When the initial protection tendency conflicts with the initial cleaning tendency—for example, when the heated surface is highly sensitive (requiring protection) but has severe coking (requiring strong cleaning)—additional operating parameters need to be introduced to balance the situation. Obtaining boiler operating load, fuel type, and sootblower nozzle wear provides crucial information about the current boiler operating status and the condition of the sootblower itself. Boiler operating load reflects the boiler's heat demand and the temperature distribution of the heated surfaces; fuel type affects the nature and intensity of coking; and sootblower nozzle wear directly affects purging efficiency and the impact force on the heated surfaces.

[0096] In practical applications, the initial protection tendency and the initial cleaning tendency are dynamically weighted based on the boiler operating load, the fuel type, and the wear degree of the sootblower nozzles to obtain the target protection tendency and the target cleaning tendency. This means that these operating parameters are used as factors to adjust the initial tendency to generate a final tendency that better reflects the current situation. For example, under high load operation, there may be a greater tendency towards cleaning to maintain efficiency; while under low load or when using easily worn fuels, there may be a greater tendency towards protection. Dynamic weighting can be implemented through a preset weighting function, fuzzy logic, or machine learning model. Finally, based on the target protection tendency and the target cleaning tendency, the priority of purging parameters such as the nozzle movement speed, steam pressure, or purging duration of the sootblower is comprehensively judged and adjusted.

[0097] The technical solution of this application introduces an initial protection tendency and an initial cleaning tendency. Based on this, when a conflict arises between the two, real-time operating parameters such as boiler operating load, fuel type, and sootblower nozzle wear are obtained to dynamically weight the initial tendency, thereby obtaining the target protection tendency and target cleaning tendency. It is precisely because of this dynamic weighting mechanism that the adjustment of purging parameters is no longer a simple linear judgment, but rather a comprehensive consideration of the health condition of the heating surface, the severity of coking, and the actual operating conditions of the boiler, achieving an intelligent balance between protection and cleaning. For example, when the boiler is operating at high load and the fuel is prone to coking, even if the heating surface sensitivity is slightly high, the priority of the cleaning tendency may be increased through dynamic weighting to ensure boiler efficiency; conversely, when the heating surface wear is severe or nozzle wear leads to a decrease in purging efficiency, the priority of the protection tendency may be increased to avoid secondary damage to the heating surface.

[0098] Through the above technical solution, this application effectively solves the problems of potential conflicts between protection and cleaning, and insufficient adaptability to complex operating conditions, that may exist in traditional methods when determining the priority of purging parameter adjustment. This technical solution dynamically balances the needs of heat-receiving surface protection and coking cleaning, making the adjustment of purging parameters more precise and intelligent. This ensures purging efficiency while minimizing potential damage to the boiler's heat-receiving surfaces and extending the equipment's service life. Furthermore, by dynamically weighting the parameters based on real-time information such as boiler operating load, fuel type, and nozzle wear, the adaptability and robustness to different operating conditions are significantly improved, ensuring that the sootblower achieves optimal purging performance in various complex environments.

[0099] In some optional embodiments, assuming that in a certain purging area, a query of the heating surface sensitivity feature database reveals that the boiler heating surface tube wall in this area is relatively thin and has high sensitivity, the initial protection tendency is set to high. Simultaneously, the real-time monitored actual coking resistance signal value is also high, indicating severe coking in this area, so the initial cleaning tendency is set to high. At this point, the initial protection tendency and the initial cleaning tendency conflict. To resolve this conflict, further data is obtained showing that the current boiler operating load is 80% (high load), the fuel type is low-quality coal prone to coking, and the wear level of the sootblower nozzles is moderate. Based on these real-time operating parameters, the initial protection tendency and the initial cleaning tendency are dynamically weighted. For example, under high load and easily coking fuel conditions, the weight of the protection tendency is appropriately reduced, while the weight of the cleaning tendency is increased to ensure that boiler efficiency is not affected by severe coking. After dynamic weighting, the target protection tendency is set to moderate, and the target cleaning tendency is set to high. Based on this, the parameters will be adjusted with priority, prioritizing increased steam pressure and / or extended purging duration to effectively remove coking. Simultaneously, the nozzle movement speed will be precisely controlled to minimize impact on the heated surfaces. After purging, the actual coking resistance signal will be continuously monitored, and the purging parameters will be iteratively adjusted based on feedback to achieve the optimal balance between cleaning and protection.

[0100] This application also proposes a steam soot blower speed regulation and purging control system, such as... Figure 2 As shown, a steam soot blower speed regulation and purging control system 100 is provided, the system comprising: The data acquisition module 10 is used to acquire the stroke position data of the soot blowing gun barrel and the current signal of the drive motor, and to synchronously associate the stroke position data with the current signal. The resistance feature identification module 20 uses the stroke position data and the current signal collected synchronously in multiple purging cycles to identify the stroke position as a fixed mechanical resistance position if the current amplitude and change pattern are consistent multiple times at the same stroke position. The resistance reference value management module 30 is used to determine a dynamically adjustable mechanical resistance reference value for each of the fixed mechanical resistance positions. The coking resistance separation module 40 is used to separate the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging. The purging parameter adjustment module 50 is used to adjust the purging parameters of the sootblower according to the actual coking resistance signal value.

[0101] The system accurately collects and synchronously correlates the stroke position data of the sootblowing nozzle and the current signal of the drive motor through the data acquisition module, laying the foundation for subsequent resistance analysis. The resistance feature identification module intelligently identifies fixed mechanical resistance locations caused by the mechanical structure from historical data, avoiding misjudgment as coking. The resistance reference value management module dynamically maintains reference values ​​for these fixed mechanical resistance locations, ensuring accurate quantification of mechanical resistance. The coking resistance separation module uses these reference values ​​to accurately separate the actual coking resistance signal value from the total current of the drive motor, thus truly reflecting the coking status inside the boiler. Finally, the purging parameter adjustment module intelligently adjusts the sootblower's purging parameters based on the separated actual coking resistance signal value, achieving on-demand purging and effectively solving the problems of over-purging, energy waste, and equipment wear caused by misjudging "false coking" in traditional methods.

[0102] This system, through the coordinated operation of a data acquisition module, a resistance feature identification module, a resistance reference value management module, a coking resistance separation module, and a purging parameter adjustment module, can separate the fixed resistance caused by mechanical factors such as barrel deformation from the total resistance, thereby obtaining a more accurate value of the actual coking resistance signal. For example, when the sootblowing barrel generates additional frictional resistance at a specific location due to deformation, this system can identify it as a fixed mechanical resistance location through the resistance feature identification module and maintain its reference value through the resistance reference value management module. During real-time purging, the coking resistance separation module subtracts this mechanical resistance from the total current, thus avoiding the misjudgment of mechanical resistance as coking by traditional systems. Consequently, the purging parameter adjustment module can adjust parameters according to the actual coking situation, avoiding erroneous responses to "false coking."

[0103] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for controlling the speed of steam soot blowing, characterized in that, include: Acquire the stroke position data of the sootblowing gun barrel and the current signal of the drive motor, and synchronously associate the stroke position data with the current signal; Based on the synchronously associated stroke position data and current signal collected in multiple purging cycles, if a current anomaly with consistent current amplitude and change pattern occurs multiple times at the same stroke position, the stroke position is identified as a fixed mechanical resistance position. For each of the fixed mechanical resistance locations, a dynamically adjustable mechanical resistance reference value is determined; During real-time purging, the actual coking resistance signal value is obtained from the total current value of the drive motor based on the mechanical resistance reference value. Adjust the blowing parameters of the soot blower based on the actual coking resistance signal value.

2. The steam soot blower speed regulation and purging control method according to claim 1, characterized in that, The step of separating the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging includes: During real-time purging, the local ambient temperature is obtained when the soot blowing gun passes the fixed mechanical resistance position; Based on the local ambient temperature, the corresponding normal current range is found in the temperature-related current normal range table. The temperature-related current normal range table includes temperature ranges and corresponding upper and lower current limits. The temperature-related current normal range is established for each fixed mechanical resistance position based on the drive motor current data under different local ambient temperatures during the initial operation of the sootblower or during system calibration. Determine whether the total current value of the drive motor falls within the normal current range; If the total current value of the drive motor falls within the normal current range, it is determined that the total current value is entirely caused by mechanical resistance. If the total current value of the drive motor exceeds the upper limit of the normal current range, the excess portion will be determined as the actual coking resistance signal value.

3. The steam soot blower speed regulation and purging control method according to claim 1, characterized in that, The step of determining a dynamically adjustable mechanical resistance reference value for each of the fixed mechanical resistance locations includes: In the initial N purging cycles, when the soot blowing gun tube passes the fixed mechanical resistance position, the current signal of the drive motor is collected in real time, and the current peak value, current peak duration and current rise slope are extracted from the current signal as feature parameters. The mean and standard deviation of the feature parameters are calculated to determine the typical fluctuation range of the current peak value, the current peak duration and the current rise slope. Based on the typical fluctuation range, a three-dimensional mechanical resistance feature space is constructed with the current peak value, current peak value duration, and current rise edge slope as three orthogonal dimensions. The set of average values ​​of the current peak value, current peak value duration, and current rise edge slope collected in the initial N purging cycles is used as the initial mechanical resistance reference set. During real-time purging, when the soot blowing gun passes the fixed mechanical resistance position, the characteristic parameters of the current signal of the drive motor are extracted in real time. The real-time extracted feature parameters are compared with the initial mechanical resistance reference set, and the Euclidean distance between them and the initial mechanical resistance reference set is calculated as the deviation. The initial mechanical resistance reference set is adjusted based on the deviation. Based on the initial set of mechanical resistance references, the mechanical resistance reference values ​​are obtained through weighted fusion calculation.

4. The steam soot blower speed regulation and purging control method according to claim 1, characterized in that, The step of separating the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging includes: Real-time acquisition of the total current value of the drive motor; Real-time analysis of the rate of change and duration of the total current value is used to determine the type of resistance anomaly. When the type of resistance anomaly is a brief mechanical obstruction, the actual coking resistance signal value is determined to be zero. When the resistance anomaly type is actual coking resistance, the actual coking resistance signal value is determined to be the difference between the total current value and the mechanical resistance reference value.

5. The steam soot blower speed regulation and purging control method according to claim 1, characterized in that, The step of adjusting the blowing parameters of the sootblower based on the actual coking resistance signal value includes: Determine the type of boiler heating surface in the purging area; The parameter adjustment priority is determined based on the boiler heating surface type and the actual coking resistance signal value. Adjust the priority based on the parameters, and adjust the nozzle movement speed, steam pressure, or purging duration of the soot blower; The actual coking resistance signal value after purging is continuously monitored, and the nozzle moving speed, steam pressure, or purging duration is iteratively adjusted.

6. The steam soot blower speed regulation and purging control method according to claim 5, characterized in that, The step of determining the parameter adjustment priority based on the boiler heating surface type and the actual coking resistance signal value includes: Obtain the current status information of the boiler heating surface materials in the purging area; The current status information is associated with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library; Based on the boiler heating surface type in the purging area, the corresponding heating surface sensitivity feature is queried from the heating surface sensitivity feature database; Based on the sensitivity characteristics of the heated surface and the actual coking resistance signal value, the priority of parameter adjustment is determined.

7. The steam soot blower speed regulation and purging control method according to claim 6, characterized in that, The step of obtaining the current state information of the boiler heating surface material in the purging area includes: During the purging process, when the ultrasonic sensor integrated on the soot blowing gun tube passes the boiler heating surface in the purging area, it emits ultrasonic pulses. The reflected echo is received by the ultrasonic sensor, and the thickness of the heated surface tube wall is calculated based on the time difference between transmission and reception. The thickness is used as information about the current state of material wear or corrosion.

8. The steam soot blower speed regulation purging control method according to claim 6, characterized in that, The step of querying the corresponding heating surface sensitivity feature from the heating surface sensitivity feature database based on the boiler heating surface type of the purging area includes: Multiple ultrasonic sensors are integrated along the axial and / or radial distribution on the soot blowing gun barrel; During the purging process, when multiple ultrasonic sensors pass through the boiler heating surface in the purging area, they respectively emit ultrasonic pulses and receive reflected echoes. Based on the time difference between the transmission and reception of each ultrasonic sensor, the wall thickness of the heated surface at multiple local locations within the purging area is calculated. The wall thickness of the heated surface at multiple local locations is used as information on the current state of material wear or corrosion. The current status information of multiple local locations is associated with the boiler heating surface type in the purging area to establish a heating surface sensitivity feature library, which contains sensitivity assessments of different local locations in the purging area.

9. The steam soot blower speed regulation purging control method according to claim 5, characterized in that, The step of determining the parameter adjustment priority based on the sensitivity characteristics of the heated surface and the actual coking resistance signal value includes: Based on the sensitivity characteristics of the heated surface, an initial protection tendency is set; Based on the actual coking resistance signal value, the initial cleaning tendency is set; When the initial protection tendency conflicts with the initial cleaning tendency, the boiler operating load, fuel type, and wear degree of the sootblower nozzle are obtained; Based on the boiler operating load, the fuel type, and the wear degree of the sootblower nozzle, the initial protection tendency and the initial cleaning tendency are dynamically weighted to obtain the target protection tendency and the target cleaning tendency. Adjust the parameters and priority based on the target's protection tendency and cleanliness tendency.

10. A steam soot blower speed regulation purging control system, characterized in that, The system includes: The data acquisition module is used to acquire the stroke position data of the soot blowing gun barrel and the current signal of the drive motor, and to synchronously associate the stroke position data with the current signal. The resistance feature identification module uses the stroke position data and the current signal collected synchronously in multiple purging cycles to identify the stroke position as a fixed mechanical resistance position if the current amplitude and change pattern are consistent multiple times at the same stroke position. The resistance reference value management module is used to determine a dynamically adjustable mechanical resistance reference value for each of the fixed mechanical resistance positions. The coking resistance separation module is used to separate the actual coking resistance signal value from the total current value of the drive motor based on the mechanical resistance reference value during real-time purging. The purging parameter adjustment module is used to adjust the purging parameters of the sootblower according to the actual coking resistance signal value.

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