A vibration suppression strategy optimization management method and system

Abstract

The application provides a vibration suppression strategy optimization management method and system, and belongs to the technical field of optimization management, and specifically comprises the following steps: determining a matching operation flow velocity interval of a vibration suppression control target based on historical operation data of the vibration suppression control target; determining an operation management strategy of a boiler except the vibration suppression control target by using the correlation degree of different matching operation flow velocity intervals and flow velocity fluctuation data; performing operation management of different boilers by using the operation management strategy; determining an update result of a potential update target based on observation data of the boiler and in combination with limit data of the vibration suppression control target; and determining an operation update processing strategy of the potential update target in a group when the update result of the potential update target meets a requirement, by using stable time period data of the potential update target in different flow velocity intervals and in combination with boiler data belonging to the matching operation flow velocity interval in the different flow velocity intervals, so that the reliability of vibration suppression control processing is improved.

Description

Technical Field

[0001] This invention belongs to the field of optimization management technology, and in particular relates to a vibration suppression strategy optimization management method and system. Background Technology

[0002] Power plant boiler superheaters are constantly exposed to high-temperature, high-velocity flue gas. When the flue gas laterally washes over the tube bundles, it can trigger two types of vibrations: forced vibration caused by periodic eddy shedding; and the more dangerous self-excited vibration, including fluid elastic instability and acoustic standing wave resonance. Once self-excited vibration occurs, its amplitude increases rapidly, and it can lead to tube fatigue fracture, leakage, or even tube rupture in a short period of time, seriously threatening the safety of the unit.

[0003] To address the aforementioned technical issues, vibration suppression measures are mainly divided into structural design optimization (such as changing the pitch ratio and adding vibration damping plates) and operating parameter adjustment (avoiding dangerous flow velocity ranges). However, the following shortcomings still exist: When using models to retrofit boilers for self-excited vibration, there may be defects in parameter settings, which may cause self-excited vibration to occur in the boiler's superheated pipes even if the flow velocity range where self-excited vibration does not exist. Therefore, how to control the flow velocity of the superheated pipes of different boilers and only implement contact restriction treatment when it is sufficiently reliable, so as to minimize the risk of self-excited vibration and ensure operational safety and reliability, has become an urgent technical problem to be solved.

[0004] To address the aforementioned technical problems, this application provides a vibration suppression strategy optimization management method and system. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a vibration suppression strategy optimization management method, which includes: S1 uses the monitoring data of the self-excited vibration of the superheated pipes of the boiler to determine the vibration suppression strategy of the superheated pipes of the boiler. According to the correlation of the vibration suppression strategy, the superheated pipes of the boiler are divided into different groups. Based on the boiler data in the group and combined with the stable time period data of the boiler in different flow rate ranges, the vibration suppression control target of the boiler is determined. S2 determines the matching operating flow rate range of the vibration suppression and control target based on the historical operating data of the vibration suppression and control target. By utilizing the correlation degree with different matching operating flow rate ranges and the flow rate fluctuation data, the operation management strategy of the boiler excluding the vibration suppression and control target is determined. The operation management strategy is used to manage the operation of different boilers. Based on the observation data of the boiler and combined with the restriction data of the vibration suppression and control target, when the update result of the potential updated target meets the requirements, the process proceeds to the next step. S3 uses the stable time period data of the potential update targets in different flow rate ranges, and combines it with the boiler data belonging to the matching operating flow rate range in different flow rate ranges, to determine the operation update processing strategy for the potential update targets in the group.

[0006] The beneficial effects of this invention are as follows: Based on boiler data in the group and stable time data of boilers in different flow velocity ranges, the vibration suppression and control targets of boilers are determined. Boilers with a large number of flow velocity ranges have the potential to verify the effect of the modification in multiple flow velocity ranges, so the verification reliability is high and they can be used as reference objects for subsequent verification. Boilers with a small number of available flow velocity ranges have lower verification reliability. A portion of boilers with fewer available ranges are identified as vibration suppression and control targets, and they are forced to operate in the matching operating flow velocity range that has been most stable in history. Any stable time period that deviates from this range is actively intervened to control its duration within the target duration. In this way, the risk of self-excited vibration is minimized even if the model recommendation strategy may be biased.

[0007] By utilizing the correlation with different matching operating flow velocity ranges and flow velocity fluctuation data, the operation management strategy for boilers without vibration suppression control targets is determined. Boilers without vibration suppression control targets have a large number of available flow velocity ranges, providing a sufficient number of verification samples, thus ensuring high verification reliability. Furthermore, if many control targets are operating within a certain available flow velocity range of the observed boiler, the probability of risk exposure and observation is higher once self-excited vibration risk exists in that range due to the large number of boilers operating simultaneously, thus enabling timely detection. By using high-risk boilers that have already been controlled as distributed observation samples, the risk visibility of each flow velocity range is assessed based on sample abundance, thereby determining the operation management strategy and maximizing verification reliability while ensuring safety.

[0008] Furthermore, the monitoring data of the self-excited vibration is determined based on the monitoring data of the vibration sensor of the superheated pipe of the boiler.

[0009] Furthermore, the vibration suppression strategy for the superheated pipes of the boiler is determined based on the simulation results of the operating parameters of the superheated pipes in the simulation model.

[0010] Furthermore, the superheated pipes of the boiler are divided into different groups, specifically including: Boilers employing the same vibration suppression strategy are grouped into the same group for their superheated pipes.

[0011] Furthermore, the method for determining the vibration suppression and control target of the boiler is as follows: S11 uses the boiler data in the group to determine the number of boilers in the group; S12 Based on the stable time period data of the boiler in different flow rate ranges, determine the duration proportion of the stable time period of the boiler in different flow rate ranges, and use the duration proportion to determine the available flow rate range of the boiler. S13 uses the number of boilers in the group and the available flow rate range of the boilers to determine the vibration suppression control target of the boilers.

[0012] Furthermore, determining whether the update results of potential update targets meet the requirements specifically includes: S31 determines the number of potential update targets based on the observation data of the boiler; S32 determines the number of restrictions on the available flow velocity ranges for the vibration suppression and control target based on the restriction data of the vibration suppression and control target; S33 uses the number of updates to the potential update targets and the number of restrictions on the available flow velocity range of the vibration suppression and control targets to determine whether the update results of the potential update targets meet the requirements.

[0013] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described vibration suppression strategy optimization management method when running the computer program.

[0014] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0015] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0016] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0017] Figure 1This is a flowchart of a vibration suppression strategy optimization management method; Figure 2 This is a flowchart illustrating the method for determining the vibration suppression and control targets for boilers; Figure 3 This is a flowchart of a method for determining the operation and management strategy of a boiler that excludes vibration suppression and control objectives. Detailed Implementation

[0018] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0019] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0020] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a vibration suppression strategy optimization management method is provided, specifically including: S1 uses the monitoring data of the self-excited vibration of the superheated pipes of the boiler to determine the vibration suppression strategy of the superheated pipes of the boiler. According to the correlation of the vibration suppression strategy, the superheated pipes of the boiler are divided into different groups. Based on the boiler data in the group and combined with the stable time period data of the boiler in different flow rate ranges, the vibration suppression control target of the boiler is determined. S2 determines the matching operating flow rate range of the vibration suppression and control target based on the historical operating data of the vibration suppression and control target. By utilizing the correlation degree with different matching operating flow rate ranges and the flow rate fluctuation data, the operation management strategy of the boiler excluding the vibration suppression and control target is determined. The operation management strategy is used to manage the operation of different boilers. Based on the observation data of the boiler and combined with the restriction data of the vibration suppression and control target, when the update result of the potential updated target meets the requirements, the process proceeds to the next step. S3 uses the stable time period data of the potential update targets in different flow rate ranges, and combines it with the boiler data belonging to the matching operating flow rate range in different flow rate ranges, to determine the operation update processing strategy for the potential update targets in the group.

[0021] Furthermore, the monitoring data of the self-excited vibration is determined based on the monitoring data of the vibration sensor of the superheated pipe of the boiler.

[0022] Furthermore, the vibration suppression strategy for the superheated pipes of the boiler is determined based on the simulation results of the operating parameters of the superheated pipes in the simulation model.

[0023] Furthermore, the superheated pipes of the boiler are divided into different groups, specifically including: Boilers employing the same vibration suppression strategy are grouped into the same group for their superheated pipes.

[0024] Specifically, such as Figure 2 As shown, the method for determining the vibration suppression and control target of the boiler is as follows: The core decision-making objective of this invention is to overcome the deviation between the theoretical strategy and the actual optimal operating point caused by the simplification of boundary conditions, equipment aging, or operating condition deviations in the simulation model. All boilers have undergone vibration suppression retrofitting based on simulation models, but the actual verification of the retrofitting effect requires stable operating data of the boilers in different flow velocity ranges. This invention analyzes the historical operating data of the boilers to identify the number of available flow velocity ranges for each boiler, thereby assessing its verification reliability: boilers with a large number of available flow velocity ranges have the potential to verify the retrofitting effect in multiple flow velocity ranges, thus having higher verification reliability and serving as reference objects for subsequent verification; while boilers with a small number of available flow velocity ranges have lower verification reliability. Therefore, a subset of boilers with fewer available flow velocity ranges are identified as vibration suppression control targets, forcing them to prioritize operation within the matching operating flow velocity range that has historically been most stable. Active intervention is implemented for any stable periods deviating from this range, controlling their duration to within the target duration, thereby minimizing the risk of self-excited vibration even when the model's recommended strategy may be biased. Its core logic is: based on historical operating habits, the risk level of boilers is distinguished by quantitatively verifying reliability. Boilers with low verified reliability are subject to flow rate constraints, and the control scope is strictly controlled within a small proportion in order to minimize the impact on overall operation and achieve precise risk avoidance.

[0025] S11 uses the boiler data in the group to determine the number of boilers in the group; Group: Refers to a collection of boiler superheated pipes that employ the same vibration suppression strategy. The vibration suppression strategy is determined based on simulation results of the boiler's superheated pipe operating parameters in a simulation model. The same strategy implies that these pipes have similar structures or operating characteristics, facilitating horizontal comparison and unified analysis.

[0026] Number of boilers: refers to the total number of boilers in the current analysis group. Determining the group size is the basis for subsequent sorting and determining the number of observations, and provides the denominator and cardinality for statistical analysis.

[0027] Define the scope of analysis to ensure that comparisons are made within a homogeneous group, so that subsequent ranking results based on the number of available intervals can truly reflect the differences in the operational flexibility of boilers under similar conditions.

[0028] Specific example: A power plant has 15 boilers. Ten of these boilers use a "low-frequency pulsation suppression strategy" for their superheated pipes, derived from CFD simulation, while the other five use other strategies. These 10 boilers are grouped together, and the number of boilers for subsequent analysis of this group is 10.

[0029] S12 Based on the stable time period data of the boiler in different flow rate ranges, determine the duration proportion of the stable time period of the boiler in different flow rate ranges, and use the duration proportion to determine the available flow rate range of the boiler. Flow velocity range: The continuous flow velocity values ​​are artificially divided into several discrete, continuous numerical ranges.

[0030] Stable period: This refers to a continuous time interval in which the flow velocity values ​​at all monitoring times fall within the same flow velocity range. This period is called a stable period for that flow velocity range. The start and end of a stable period are determined by the flow velocity entering or leaving this range.

[0031] Duration percentage: For a specific flow velocity range in the superheated pipes of a particular boiler, the ratio of the total duration of all stable periods within that range to the boiler's total historical operating time. Duration percentage reflects the boiler's habitual tendency to operate stably within that flow velocity range.

[0032] Available flow rate range: refers to the flow rate range whose duration exceeds the preset threshold. This indicates that the boiler has a long history of stable operation within this range, which is the operating habit range that the boiler has shown in the past. Therefore, it can reliably verify the self-excited vibration situation.

[0033] Simulation models cannot fully reproduce the complex, time-varying operating conditions of a real-world environment. By mining historical big data, we can identify the flow rate ranges that each boiler has operated for the longest and most habitual time. These ranges reflect the boiler's inherent operating characteristics and form the basis for subsequent reliability assessments.

[0034] The available flow rate ranges provide "personalized operating benchmarks" extracted from historical data. Their quantity reflects the breadth of the boiler's operating habits: a larger number indicates that the boiler has historically operated stably at various flow rates, thus possessing the potential to verify the effectiveness of vibration suppression modifications across multiple ranges, resulting in higher verification reliability; a smaller number indicates a stronger selectivity of the boiler to flow rates, lower verification reliability, and a higher risk of entering an unknown state after deviating from these habitual ranges. This provides an objective indicator for subsequent screening of risk targets.

[0035] Specific example: Taking a boiler as an example, its total historical operating time is 8000 hours. The flow velocity range of 0-30 m / s is divided into 30 intervals of 1 m / s. Statistical analysis shows that in the 10-11 m / s interval, the total stable period duration is 3200 hours, accounting for 40%; in the 11-12 m / s interval, the total stable period duration is 3600 hours, accounting for 45%; in the 12-13 m / s interval, the total stable period duration is 400 hours, accounting for 5%; and the remaining intervals are all less than 5%. If the preset duration percentage threshold is 10%, then the 10-11 m / s and 11-12 m / s intervals are both usable flow velocity ranges for this boiler.

[0036] S13 uses the number of boilers in the group and the available flow rate range of the boilers to determine the vibration suppression control target of the boilers.

[0037] It should be noted that the available flow rate range is the flow rate range whose duration percentage is greater than the preset duration percentage threshold.

[0038] It should be noted that the stable period is the time during which the flow velocity at different monitoring times is within the specified flow velocity range.

[0039] It is understood that, by utilizing the number of boilers in the group and the available flow rate range of the boilers, the vibration suppression and control targets for the boilers are determined, specifically including: Based on the number of available flow rate ranges of the boilers, the boilers are sorted from high to low to determine the ranking results. Based on the number of boilers, the number of observations of boilers in the group is determined, and the vibration suppression control target of the boilers is determined based on the number of observations and the ranking of the boilers.

[0040] It is understandable that boilers ranked after the number of observations are all considered as targets for vibration suppression and control.

[0041] Number of observations: refers to a critical number set according to the group size, used to screen out boilers that need to be focused on, and this number does not exceed 20% of the total number of boilers in the group.

[0042] Vibration suppression control target: refers to boilers with the fewest available flow velocity ranges, the lowest verification reliability, and the most stringent selection of operating flow velocity, which need to be forced to operate preferentially within the matching operating flow velocity range based on uncertain reliability.

[0043] Matching operating flow rate range: For each boiler under control, a specific flow rate range is designated and recommended for priority maintenance. This range represents the boiler's historically most stable operating range. It is selected to minimize the impact of control measures on normal boiler operation, as the boiler operates within this range for the longest period and is most adapted to it.

[0044] Boilers with a limited number of available flow ranges lack operational flexibility. When actual operating conditions cause the flow velocity to deviate from these few available ranges, they are highly susceptible to entering unknown or high-risk areas, triggering self-excited vibrations. Furthermore, designating the most commonly used range as the target ensures that the adjusted operating state aligns with the boiler's historical habits, minimizing the additional impact of management and control. Boilers with a large number of available flow ranges, on the other hand, have higher verification reliability and can serve as verification boilers, undertaking the task of validating the effects of modifications across different flow velocity ranges in subsequent strategy optimizations. Therefore, they are not subject to mandatory flow velocity constraints.

[0045] Specific example: Continuing from example S12, suppose this group has 10 boilers, with the following numbers of available flow velocity ranges: Boiler 1: 6, Boiler 2: 5, Boiler 3: 5, Boiler 4: 4, Boiler 5: 4, Boiler 6: 3, Boiler 7: 3, Boiler 8: 2, Boiler 9: 2, Boiler 10: 3. After sorting by number from highest to lowest, and setting the observation target to 3 boilers (i.e., the top 30%), the remaining 70% of boilers become the vibration suppression control targets.

[0046] Furthermore, the matching operating velocity range of the vibration suppression and control target is determined based on the velocity range with the highest duration of the vibration suppression and control target.

[0047] It should be noted that when the flow rate is not within the matched flow rate range, if the flow rate is in a stable period and is not within the matched flow rate range, the flow rate is adjusted by adjusting the flue gas damper to control the duration of all individual stable periods that are not within the matched flow rate range to within the target duration as soon as possible, thereby minimizing the risk of self-excited vibration.

[0048] Mechanism Description: For boilers identified as vibration suppression and control targets, the flow velocity in their superheated pipes is monitored in real time. The monitoring data for self-excited vibration is determined based on the monitoring data from vibration sensors in the boiler's superheated pipes. Intervention is initiated when both of the following conditions are simultaneously met: The current flow rate is within a stable period.

[0049] The velocity range during this stable period is not the matching operating velocity range for this boiler.

[0050] At this point, the control system fine-tunes the flue gas flow rate by adjusting the opening of the flue gas damper, thereby changing the steam velocity in the superheated pipe and causing the stable period to end as quickly as possible, i.e., allowing the flow velocity to leave the current mismatched range. The goal of the adjustment is to ensure that the duration of each stable period outside the mismatched range is controlled within a preset target duration, thereby minimizing the continuous operating time of the boiler in the mismatched range. It should be noted that during fluctuating periods (i.e., unstable periods), the flow velocity continuously changes, and the risk of self-excited vibration is low, so no intervention is required. Furthermore, the purpose of intervention is not to force the flow velocity back to the matching range, but rather to disrupt the stable period, causing it to enter a fluctuating state or return to the matching range, as long as the non-mismatched stable period does not exceed the target duration.

[0051] Reason for this setting: Due to potential biases in the simulation model, boiler operation in the mismatch zone is equivalent to operating in a region not fully validated by its own historical data, resulting in high uncertainty in self-excited vibration. Active intervention, forcing high-risk boilers to shorten their residence time in the mismatch zone, is the most direct means of mitigating uncertainty risks. The goal of intervention is not necessarily to return to the matching zone, but rather to control the duration of the stable mismatch period, thus reducing risk even if the flow rate temporarily fluctuates.

[0052] This mechanism forms a closed-loop feedback control that does not rely on the absolute accuracy of the model, but rather provides adaptive safety protection based on the equipment's own operating habits. It compensates for potential shortcomings of simulation models, provides an extra layer of safety for the boiler, and intervenes gently, only in cases of prolonged deviation.

[0053] Specifically, such as Figure 3 As shown, the method for determining the operation and management strategy of the boiler that excludes the vibration suppression and control target is as follows: This invention, based on the established vibration suppression control targets, implements differentiated management for remaining boilers (i.e., observation boilers). Observation boilers have numerous available flow velocity ranges, resulting in high verification reliability. However, the risks associated with their operation within different flow velocity ranges still need to be assessed in conjunction with the distribution of control targets and their own fluctuation characteristics. Since all boilers operate simultaneously, control targets, as high-risk objects, are restricted to their respective matched operating flow velocity ranges, essentially forming an "observation sample group" within their respective flow velocity ranges. If many control targets operate within a certain available flow velocity range of an observation boiler, then if a self-excited vibration risk exists in that range, the probability of risk exposure and observation is higher due to the large number of boilers operating simultaneously, thus enabling timely detection. Conversely, if the number of control targets is sparse within a certain range, even if self-excited vibration occurs during the operation of the observation boiler in that range, the probability of observation is low, the risk is more concealed, and additional control measures are required. By analyzing the number of associated management targets within each available flow velocity range of the observation boiler, combined with its own flow velocity fluctuation characteristics, a comprehensive control reliability coefficient is calculated to determine whether operational restrictions on the observation boiler are necessary. Its core logic is to use high-risk boilers that have been controlled as distributed observation samples, assess the risk visibility of each flow velocity range by the abundance of samples, and actively intervene in the operation of weak observation ranges, thereby maximizing operational flexibility while ensuring safety.

[0054] S21 takes the boilers that have been removed from the vibration suppression control targets as observation boilers, and determines the vibration suppression control targets that belong to the matching flow rate range in the available flow rate range based on the degree of correlation between the available flow rate range of the observation boilers and different matching operating flow rate ranges. The vibration suppression control targets that belong to the matching flow rate range in the available flow rate range are taken as the associated management targets. Observation boilers: These refer to boilers in the group other than those subject to vibration suppression control. They have a wider range of available flow rates, making the verification more reliable.

[0055] Associated management targets: These refer to vibration suppression control targets whose operating flow rate range falls within a specific available flow rate range of the observed boiler. These control targets operate within this range, providing real-time samples for risk monitoring and increasing the probability of risk detection.

[0056] While there are many available flow velocity ranges for boiler monitoring, not every range has a monitored target in operation. As high-risk objects, the operating status of monitored targets can reflect the potential risk of self-excited vibration within that flow velocity range. If multiple monitored targets operate for a long period without vibration within a certain range, the safety of that range is relatively reliable, and if an anomaly occurs, the probability of it being observed is higher due to the large sample size.

[0057] By associating the distribution of management objectives, the "risk visibility" of each available flow velocity range of the observed boiler was quantified, providing a basis for whether subsequent operation restrictions are necessary.

[0058] It should be noted that the above steps include the following: S211 If the number of associated management targets in all available flow rate intervals is greater than the preset management target number threshold, then there is no need to perform the operation management of the observed boiler. It has enough samples in any available flow rate interval, and once a risk exists, it can be identified quickly. The observation reliability is high, so there is no need to perform operation control processing.

[0059] Preset threshold for the number of management targets: A preset value used to determine whether there are enough associated management targets as risk observation samples within a certain flow rate range, so as to ensure that the probability of risk detection is high enough.

[0060] Reason for setting this up: When multiple control targets are running in each zone, these zones are essentially under continuous observation. The observed boilers can operate freely without additional restrictions, avoiding unnecessary intervention and maintaining the operational flexibility of the observed boilers.

[0061] Specific example: Suppose the preset threshold for the number of management targets is 2. If boiler #02 has 5 available flow rate intervals, and each interval has at least 2 associated management targets, then the probability of risk detection is high when #02 is running in each interval. Therefore, there is no need for management restrictions, and it can operate normally.

[0062] S212 If the number of associated management targets in all available flow rate intervals is not greater than the preset threshold for the number of management targets, obtain the number of available flow rate intervals with operation control targets, and determine whether the number of available flow rate intervals with operation control targets is less than the preset threshold for the number of available intervals. If so, then only operate in the available flow rate intervals with operation control targets, and when there is no self-excited vibration boiler in the most recent first time period, no further restriction processing will be performed. If not, then proceed to step S22. Available flow rate range with operational control objectives: This refers to the range of available flow rates of the observed boiler that contains at least one associated management objective.

[0063] Preset threshold for the number of available intervals: A preset value used to determine whether the number of intervals supported by samples is small enough, thereby deciding whether to directly restrict the operation.

[0064] First duration: A relatively long period of time used to observe whether self-excited vibration occurs, serving as a condition for lifting the restrictions.

[0065] When the number of intervals with available samples is small, it indicates that most of the usable flow velocity range of the observed boiler lacks observational samples. These intervals have high operational risks and are not easily detected. Therefore, the operating range should first be restricted to the intervals with available samples, and observation should be conducted for a period of time. If no vibration occurs, the restriction can be lifted. If the number of intervals with available samples is large, but some intervals have insufficient samples, further analysis of the fluctuation situation is required. This implements a tiered approach, with conservative restrictions initially applied to situations with low risk visibility, while an observation period is set for dynamic adjustment.

[0066] Specific example: Continuing from the previous example, among the six available flow rate ranges of boiler #01, only range C has one associated management target, while the other ranges have zero. The preset threshold for the number of available ranges is set to 2 (e.g., 20% of the number of boilers in the group or a fixed value). The number of available flow rate ranges with operational control targets is 1, which is less than 2, thus satisfying the "yes" condition. Therefore, #05 is restricted to operating only within range C ([12,13) ​​m / s), with a first duration set to 30 days. If no boiler experiences self-excited vibration within 30 days, the restriction is lifted, allowing it to resume operation in all available ranges.

[0067] S22 determines the period of flow velocity fluctuation of the observed boiler based on the flow velocity fluctuation data of the observed boiler; It should be noted that the flow velocity fluctuation period refers to the percentage of monitoring times in which the deviation rate of the flue gas flow velocity from the adjacent monitoring time is greater than a preset deviation rate threshold, and the period in which the deviation rate is greater than the preset percentage of the number of monitoring times.

[0068] In the above steps, if the observed boiler does not have a period of flow rate fluctuation, it will only operate within the available flow rate range where there is an operation control target. If there is no boiler with self-excited vibration in the most recent first time period, no further restriction processing will be performed. Otherwise, proceed to step S23. Periods of fluctuating flow velocity: These are periods of drastic and continuous fluctuations in flow velocity, characterized by the rate of change of flow velocity exceeding a threshold for most of the time.

[0069] Preset deviation rate threshold: The boundary used to determine whether the change in flow rate is significant at a single monitoring moment.

[0070] Preset percentage of time points: This is used to determine whether the proportion of significantly changing times within a certain period is high enough to identify a period of fluctuation. When the flow velocity fluctuates, self-excited vibration is unlikely to form, and the risk is low. Therefore, if the boiler being monitored is frequently in a fluctuating state, there is no need for excessive restrictions.

[0071] Specific example: Suppose that boiler #01 is monitored within three intervals, with a preset deviation rate threshold of 5% and a preset time interval percentage of 80%. A sliding window analysis is performed on the flow velocity data of monitored boiler #01. It is found that within a 10-minute period, sampled every minute, there are 9 times where the flow velocity deviates by more than 5% compared to the previous minute. This 10-minute period is then identified as a flow velocity fluctuation period. If no such period exists in the entire boiler's historical operation, it is determined that there is no flow velocity fluctuation period.

[0072] If there are no periods of flow rate fluctuation in #01, then it is restricted to operating within the sampled area for 30 days. If there are periods of fluctuation, then proceed to S23.

[0073] S23 uses the associated management objectives of the observed boiler in different available flow rate ranges and the flow rate fluctuation period to determine the operation management strategy of the observed boiler.

[0074] Furthermore, the above steps include the following: S231 Based on the duration of the flow velocity fluctuation period of the observed boiler, determine whether the duration of the flow velocity fluctuation period of the observed boiler is greater than the preset fluctuation period percentage threshold. If so, then since there are a large number of flow velocity fluctuation periods, even if there is self-excited vibration, it will be alleviated during the flow velocity fluctuation period. Therefore, determine that the operation and management strategy of the observed boiler is that no operation and management of the observed boiler is required. If not, proceed to step S232. Percentage of flow velocity fluctuation period: refers to the proportion of the total duration of the flow velocity fluctuation period within the total operating time.

[0075] Preset fluctuation period percentage threshold: A preset percentage value. If the value is exceeded, the boiler is considered to be in a fluctuating state most of the time, and the risk is extremely low.

[0076] A high proportion of fluctuating periods means that the boiler rarely remains stable in a certain flow velocity range for extended periods, making it difficult to establish self-excited vibrations, thus requiring no intervention.

[0077] Specific example: The preset threshold for the percentage of fluctuation periods is 30%. The total operating time of boiler #01 is 1000 hours. If the total duration of the flow rate fluctuation period is 400 hours, accounting for 40%, which is greater than 30%, then #01 does not require operation management.

[0078] S232 uses the proportion of time in the available flow rate range without associated management targets and the proportion of time in the flow rate fluctuation period of the observed boiler to determine the control reliability coefficient of the observed boiler. It then determines whether the control reliability coefficient of the observed boiler is greater than a preset reliability coefficient threshold. If so, the operation management strategy of the observed boiler is determined to be that no operation management of the observed boiler is required. If not, it only operates within the available flow rate range with operation control targets. When there is no boiler with self-excited vibration in the most recent second time period, no further restriction is applied. Instead, the flow rate is adjusted by adjusting the flue gas damper to control the duration of all stable periods in the available flow rate range without operation control targets to within the target duration as soon as possible, thereby minimizing the risk of self-excited vibration.

[0079] Available flow rate range with no associated management objectives: refers to the range of available flow rates of the observed boiler that has no associated management objectives.

[0080] Percentage of available flow rate intervals without associated management objectives: This refers to the proportion of the total duration of all stable periods within these intervals to the total operating time of the boiler.

[0081] Control Reliability Coefficient: A comprehensive indicator used to assess the reliability of a monitored boiler under current conditions without requiring control. It can be calculated as follows: Control Reliability Coefficient = (Percentage of Fluctuating Periods + Percentage of Stable Periods in Available Flow Rate Ranges with Associated Management Objectives) / (Percentage of Fluctuating Periods + Total Percentage of Stable Periods in All Available Flow Rate Ranges). The closer this ratio is to 1, the higher the proportion of the boiler operating in a range with high risk visibility or during fluctuating periods, and the higher the reliability without requiring control. The weighting method can be set according to actual needs.

[0082] Second duration: A shorter time period used to quickly verify the conditions for lifting the restrictions.

[0083] When the proportion of fluctuating periods is small, and the proportion of intervals without samples is high, the risk of the observed boiler operating stably for extended periods within these intervals is high and difficult to detect in a timely manner, requiring proactive intervention. By calculating the reliability coefficient, the degree of this lack of risk visibility can be quantified, and restrictive measures can be taken. Simultaneously, a shorter observation period (second duration) should be set to facilitate rapid feedback.

[0084] Specific example: Assume the preset reliability coefficient threshold is 0.7. Assume another monitored boiler #3 has 5 available flow rate intervals, of which intervals 1, 2, and 3 have associated management targets (1 each), while intervals 4 and 5 have no associated management targets. The number of available flow rate intervals with operational control targets is 3, and the preset threshold for the number of available intervals is 2. Therefore, 3 is greater than 2, which does not satisfy the "yes" condition of S212, and proceeds to S22. Assume that #3 has fluctuating periods, and the proportion of fluctuating periods is 20% (less than the threshold of 30%), and proceeds to S232. Calculate the duration of available flow rate intervals without associated management targets: Assume that the total duration of stable periods in intervals 4 and 5 accounts for 40% of the total operating time of #3, and the proportion of fluctuating periods is 20%. Then, the proportion of stable periods in intervals with associated management targets is 40% (total duration 100% - 20% fluctuation - 40% no sample stability = 30%). The control reliability coefficient can be defined as: Reliability coefficient = (Percentage of fluctuating periods + Percentage of stable periods within the sample interval) / (Percentage of fluctuating periods + Percentage of all stable periods) = (20% + 40%) / (20% + 80%) = 60% / 100% = 0.6, which is less than 0.7, therefore operation needs to be restricted. Restriction strategy: Operation is only allowed within the available flow rate intervals (intervals 1, 2, and 3) where the operation control target exists, and intervention is carried out on any stable periods outside these intervals to control their duration within the target duration. A second duration is set to 7 days; if no boiler experiences self-excited vibration within 7 days, the restriction is lifted.

[0085] It should be noted that the first duration is longer than the second duration.

[0086] This invention assesses whether restrictions can be lifted on some vibration suppression targets after they have been operating under flow rate limitations for a period of time, allowing them to resume operation in more flow rate ranges. By analyzing whether all boilers within all available flow rate ranges of the controlled targets have not experienced self-excited vibration, and whether the matching intervals within these intervals that belong to the available ranges of the observed boilers have sufficient cumulative observation time, potentially safe targets for replacement are screened. Furthermore, by statistically analyzing the number of potential replacement targets, the number of controlled targets with a large number of available intervals, and the coverage area of ​​the restricted intervals after deduplication, a comprehensive judgment is made on whether sufficient verification reliability is currently available, thus deciding whether to allow the restrictions to be lifted on these potential replacement targets. The core logic is that when a sufficient number of controlled targets have operated for a long time without vibration in a sufficient number of intervals, and these intervals have sufficient observation samples, it indicates that the safety of these intervals has been verified, and restrictions can be gradually lifted. At the same time, controlled targets with a larger number of restrictions have a higher need for lifting restrictions; they require more reference data. Lifting restrictions on potential replacement targets can provide a rich variety of available flow rate ranges, accumulating data for the verification of other controlled targets. Through multi-level judgment, restrictions are only allowed to be lifted when the verification reliability is strong enough, thus achieving a dynamic transition from high-risk control to normal operation.

[0087] Specifically, the method for determining the potential update target is as follows: The available flow velocity range of the vibration suppression and control target that belongs to the available flow velocity range of the observed boiler is used as the matching range; If there is no self-excited vibration data in any of the available flow velocity ranges of the vibration suppression and control target, and there exists any matching range where the observation duration in all boilers is greater than a preset observation duration threshold, then the vibration suppression and control target is determined to be a potential update target.

[0088] Matching interval: refers to a velocity interval that belongs to both the available velocity interval of a vibration suppression control target and the available velocity interval of at least one monitored boiler. These intervals are areas where both the control target and the monitored boilers may operate. The operation of the monitored boilers within these intervals provides additional observation samples, increasing the duration and reliability of the validation of these intervals.

[0089] Self-excited vibration data: Records of self-excited vibrations monitored by vibration sensors on superheated pipes.

[0090] Observation duration: refers to the total cumulative duration of stable periods for all boilers (both controlled and monitored boilers) within a specific flow velocity range. This duration reflects the adequacy of the actual operational verification of this range.

[0091] Preset observation duration threshold: A preset time length is used to determine whether a certain flow velocity range has undergone sufficient operational testing over a long period of time, thereby considering its safety to have a high degree of reliability.

[0092] If no self-excited vibrations have occurred in any of the available flow velocity ranges of the controlled target (verified by all boilers), it indicates that these ranges themselves do not pose any known risks. Simultaneously, the matched ranges, due to the participation of all observed boilers, accumulate a longer observation period; if this period is sufficiently long, it further enhances the credibility of the range's safety. When both conditions are met, the controlled target is highly likely to operate safely within all its available ranges, and lifting the restrictions can be considered. By combining the vibration history of all boilers and the cumulative observation data from multiple boilers, controlled targets with lower risks that can be considered for lifting restrictions can be scientifically screened, providing candidate targets for subsequent gradual opening.

[0093] Specific example: A group has 10 boilers, of which 3 are observation boilers and 7 are vibration suppression control targets. There are three available flow velocity intervals for control target #05: [11,12), [12,13), and [13,14). [11,12) and [12,13) ​​belong to the available intervals of observation boiler #01, and [13,14) belongs to the available intervals of observation boilers #02 and #03. Therefore, these three intervals are all matching intervals for #05. After a period of operation, no self-excited vibration data was detected in any of these three intervals during all operating periods of all boilers. Meanwhile, the cumulative observation durations for all boilers in these three intervals were 100 hours, 130 hours, and 150 hours, respectively. If the preset observation duration threshold is 100 hours, then the intervals [11,12) and [13,14) meet the conditions. Therefore, control target #05 is identified as a potential update target.

[0094] It should be noted that the limiting data for the vibration suppression and control target are determined based on the number of available flow velocity ranges that are restricted from operation.

[0095] The number of available flow rate ranges reflects the original operational flexibility of the controlled target. A larger number indicates that the controlled target has historical operating habits across more flow rate ranges. Once restrictions are lifted, its potential operational range is wider, meaning that the controlled target can provide more available flow rate range reference data for the verification of other controlled targets, thus helping more controlled targets to lift restrictions more quickly. At the same time, controlled targets with a large number of restrictions have a higher need for lifting restrictions because they are more severely restricted.

[0096] This data will be used in subsequent assessments to identify those control targets that were originally more flexible and had a greater need for lifting restrictions.

[0097] Specifically, determining whether the update results of potential update targets meet the requirements includes: S31 determines the number of potential update targets based on the observation data of the boiler; Update Quantity: Refers to the total number of control targets that meet the conditions for potential update targets.

[0098] The number of updates directly reflects how many control targets have met the initial conditions for lifting restrictions at the current stage. It is a basic indicator for judging whether batch updates can be carried out. The more updates there are, the more potential update targets have been verified, and the lower the overall risk.

[0099] S32 determines the number of restrictions on the available flow velocity ranges for the vibration suppression and control target based on the restriction data of the vibration suppression and control target; Limit quantity: refers to the number of available flow rate ranges that each control target originally had.

[0100] This data is used to subsequently screen control targets with a high demand for lifting restrictions, i.e., targets with a large number of restrictions. These targets can provide more interval samples for subsequent verification. Once a control target with a large number of restrictions is identified as a potential update target and its restrictions are lifted, the available flow rate intervals it contributes can enrich the overall verification data and help other control targets meet the conditions for lifting restrictions more quickly.

[0101] S33 uses the number of updates to the potential update targets and the number of restrictions on the available flow velocity range of the vibration suppression and control targets to determine whether the update results of the potential update targets meet the requirements.

[0102] Specifically, if the number of updates for the potential update target is greater than a preset update number threshold, then the update result of the potential update target is determined to meet the requirements.

[0103] Additionally, it can be understood that if the number of updates of the potential update targets is not greater than the preset update number threshold, the number of vibration suppression and control targets with a limit of more than the preset limit is determined by the number of restrictions in the available flow velocity range of different vibration suppression and control targets. It is then determined whether the number of vibration suppression and control targets with a limit of more than the preset limit is greater than the preset control target number threshold. If yes, proceed to the next step; otherwise, it is determined that the update result of the potential update targets does not meet the requirements. Based on the restriction data of the available flow rate range of the potential update target, the restricted available flow rate range is deduplicated to obtain the deduplicated flow rate range. When the number of deduplicated flow rate ranges is greater than the preset deduplicated flow rate range number threshold, it is determined that the update result of the potential update target meets the requirements.

[0104] If the number of updates exceeds the preset update threshold, the update result is directly determined to meet the requirements, meaning that restrictions can be lifted on all potential update targets.

[0105] If the number of updates is not greater than the preset update number threshold, further analysis is performed: from all vibration suppression control targets, those control targets with a restriction number greater than the preset restriction number threshold are selected, and their number is counted. If this number is greater than the preset control target number threshold, proceed to the next step; otherwise, the update result is determined not to meet the requirements, that is, no restrictions are lifted on any potential update targets.

[0106] For the control targets with a large number of restrictions selected in the previous step (i.e., the current batch of potential update targets), based on the restriction data of their available flow rate ranges, all available flow rate ranges of these potential update targets are deduplicated and merged to obtain deduplicated flow rate ranges. When the number of deduplicated flow rate ranges is greater than the preset deduplicated flow rate range number threshold, it is determined that the update result of the potential update target meets the requirements, and the restrictions on these potential update targets can be lifted; otherwise, the requirements are not met.

[0107] When the number of potential update targets is small, it is necessary to examine the number of highly flexible targets within the overall control objectives. These highly flexible targets (with a large number of restrictions) have a greater need for lifting restrictions. If their number is sufficient, it indicates a need for more reference data. In this case, the breadth of intervals (number of deduplicated intervals) provided after the restrictions of potential update targets are lifted becomes crucial. If the number of deduplicated intervals is sufficient, it means that these potential update targets can provide rich reference data for other subsequent control objectives, thus allowing their restrictions to be lifted first. Through multi-level judgment, it is ensured that restrictions are only allowed to be lifted when the validation sample is sufficiently rich and the coverage interval is sufficiently broad. This prevents hasty release due to insufficient local data while also taking into account the need to accumulate data for subsequent validation.

[0108] In one possible specific embodiment, the following is included: Assuming all 7 controlled targets become potential update targets, and the update quantity is 7, the update result is directly determined to meet the requirements.

[0109] In another embodiment, if only 2 are potential update targets, then the number is not greater than 3, so proceed to the next step; The number of restrictions for each control target (available range minus 1, i.e., matching operating range): Boiler #04: 3, Boiler #05: 3, Boiler #06: 2, Boiler #07: 2, Boiler #08: 1, Boiler #09: 1, Boiler #10: 2. There are boilers with a limit greater than 2, namely boiler #04 and boiler #05, and the number is greater than the threshold 1. Proceed to the next step. After deduplication of the available intervals for potential update targets boilers #05 and #06, it was found that there are 4 intervals greater than the interval threshold of 3, so it was determined that the requirements were met.

[0110] Furthermore, the method for determining the execution update processing strategy for potential update targets in the group is as follows: After identifying potential update targets and removing their initial restrictions, this invention further evaluates whether these targets can fully return to normal operation, i.e., no longer subject to any flow rate limitations. Although potential update targets have met the initial screening criteria, differences remain in the number of available flow rate ranges, the verification status of other boilers (including observed boilers and those with removed restrictions) within each range, and their own operating habits within the range. These differences determine the urgency of their need for restriction removal and the reference value they can provide for other subsequent targets. Through a hierarchical and progressive judgment logic, the number of available ranges for each potential update target, the coverage of verified matching boilers within each range, the existence of completely unverified ranges, and the percentage of operating time in weakly verified ranges are examined sequentially to ultimately determine different priority restriction removal strategies. The core logic is: for targets that can provide more reference value for other targets or urgently need to fill verification gaps, lenient restriction removal conditions are prioritized; for targets that have been sufficiently verified and have lower restriction removal needs, strict conditions are applied, and evaluation is conducted after other more needed targets are removed first. This maximizes the contribution of limited targets to overall verification while ensuring safety.

[0111] S41 uses the stable time period data of the potential update target in different flow rate intervals to determine the available flow rate interval of the potential update target and the duration ratio of the stable time period in the available flow rate interval. Potential upgrade targets: Boilers that have met the initial screening criteria and are allowed to operate in all of their available flow rate ranges.

[0112] Available flow rate range: refers to the flow rate range whose duration is greater than the preset duration threshold, reflecting the boiler's historical operating habits.

[0113] Stable period: refers to the period during which the flow velocity falls within the same velocity range for multiple consecutive monitoring times.

[0114] Duration percentage: The ratio of the total duration of all stable periods within a certain interval to the total operating time of the boiler. Before deciding whether to completely lift the restrictions, it is necessary to reconfirm the operating habits of potential update targets, especially the number of available intervals and the distribution of each interval, as the basis for subsequent judgment.

[0115] The number of available intervals reflects the boiler's operational flexibility. The more intervals available, the more reference flow rate intervals can be provided for other targets after the restrictions are lifted, and the greater the potential contribution to the overall verification. The duration percentage reflects the boiler's dependence on different intervals, which helps to identify its key operating areas.

[0116] For example, there are four available flow rate intervals for the potential target boiler #05: [11,12), [12,13), [13,14), and [14,15), with each interval accounting for 20% of the total time.

[0117] The above steps specifically include: S411 Obtain the available flow rate range of the potential update target, and determine whether the number of available flow rate ranges of the potential update target is greater than the preset flow rate range number threshold. If yes, then determine that the operation update processing strategy of the potential update target is that when the running time of the observed boilers is greater than the preset time threshold and the number of boilers with self-excited vibration is within the preset number, then determine that the potential update target will no longer be restricted. If no, then proceed to step S42. Preset flow rate interval number threshold: A preset value used to determine whether the number of available intervals for a potential update target is sufficient. A large number means that the target can provide rich reference intervals for other subsequent targets and has high verification value.

[0118] Observation boilers: These refer to the boilers initially selected in the group that have a relatively large number of available intervals, and they undertake the basic verification tasks.

[0119] Preset duration threshold: A preset time length used to determine whether the observed boiler has run for a sufficient amount of time.

[0120] Number of boilers with self-excited vibration: refers to the number of boilers that have experienced self-excited vibration in the recent period.

[0121] Potential update targets with a large number of available intervals, once their restrictions are lifted, will cover multiple flow velocity ranges, providing a wealth of reference data for subsequent control targets that have not yet had their restrictions lifted, thus accelerating the overall verification process. Therefore, relatively lenient lifting conditions should be given; as long as the overall boiler operation is observed to be stable, restrictions can be lifted first. This allows for priority release of targets with high contribution potential, fully utilizing their flexibility to accumulate data for the group.

[0122] Specific example: Suppose the preset threshold for the number of flow velocity intervals is 5. The number of available intervals for boiler #05 is 4, which is no greater than 5, therefore proceed to S42.

[0123] S42 determines, based on the degree of verification matching of different boilers within the available flow rate range of the potential update target, the boilers that belong to the matching operating flow rate range or the available flow rate range of boilers that are not subject to restriction treatment within the available flow rate range, and uses them as verification matching boilers. Verification-matched boilers refer to other boilers operating within a specific flow rate range. Specifically, they include two categories: First, if the available flow rate range of the observed boilers covers the entire range, these observed boilers become verification-matched boilers. Second, if the available flow rate range of boilers that have been de-restricted (i.e., previous potential update targets) covers the entire range, these boilers also become verification-matched boilers. The existence of verification-matched boilers provides additional verification samples for the safety of this range; a larger number of verification-matched boilers indicates more samples being jointly verified within this range, thus reducing the need for de-restriction within this range.

[0124] The safety of a flow rate range depends not only on the target's own operating history, but also on how many other boilers are operating in that range without vibration. The more verification matching boilers there are, the more operating samples there are in that range, thus reducing the need to lift restrictions on the current target. By verifying the number of matching boilers, the sufficiency of each range being jointly verified is quantified, providing a basis for subsequently judging the urgency of lifting restrictions.

[0125] For example: For the interval [11,12) of boiler #05, the available intervals of boilers #01 and #02 are included in this interval, and the available interval of boiler #04, which has been unrestricted, is also included in this interval. Therefore, it is verified that there are a total of 3 matching boilers: #01, #02, and #04.

[0126] The above steps specifically include: S421 will take potential update targets whose number of verified matching boilers in different available flow rate ranges is greater than the preset threshold for the number of verified boilers as verification matching targets. It will determine whether the potential update targets belong to the verification matching targets. If so, it will determine that the operation update processing strategy of the potential update targets is that only when the runtime of all potential update targets that do not belong to the verification matching targets is greater than the preset time threshold and the number of boilers with self-excited vibration is within the preset number, it will determine that the potential update targets will no longer be restricted. If not, it will proceed to step S422. Verification matching targets: These are potential updated targets for boilers that have a sufficient number of verification matching boilers in each available flow rate range, meaning that all of their operating ranges have been fully verified by a large number of other boilers.

[0127] Preset verification boiler quantity threshold: A preset value used to determine whether the number of verification matching boilers within a certain range is sufficient.

[0128] If each available range of a potential update target has sufficient verified matching boilers, it means that all its potentially operational ranges have been verified by a large number of other boilers. The target itself has a lower need for delimitation because other boilers have provided enough data even if it is not operational. Therefore, the strictest delimitation conditions should be applied, prioritizing targets that urgently need delimitation (such as those with verification gaps). These targets should be considered only after they have been fully verified. This achieves delayed release of low-demand targets and prioritizes resource allocation to targets that require it more.

[0129] Specific example: Suppose the preset threshold for the number of boilers to be verified is 4. In the 4 intervals of boiler #05, assuming there are 3 boilers in [11,12), 3 boilers in [12,13), 1 boiler in [13,14), and 2 boilers in [14,15), then not all intervals are greater than 4 (for example, there are only 3 boilers in [11,12). Therefore, boiler #05 is not a verification matching target, and proceed to S422.

[0130] S422 Determine whether there is an available flow rate range for the potential update target that does not have a matching boiler for verification. If so, determine that the operation update processing strategy for the potential update target is that when the running time of the observed boilers is greater than the preset time threshold and the number of boilers with self-excited vibration is within the preset number, then determine that the potential update target will no longer be restricted. If not, proceed to step S43. Available flow rate ranges without verified matching boilers: These are available flow rate ranges where no other boilers (monitored boilers or de-restricted boilers) are operating. These ranges are areas operated entirely independently by the target and represent verification gaps that urgently need to be filled by the target's own operation.

[0131] If there are completely unverified intervals for potential update targets, these intervals represent weak points in the current verification system, requiring the target to be operational as soon as possible to accumulate data. Therefore, the most lenient release conditions should be applied; as long as the overall boiler operation is observed to be stable, priority should be given to release the target to fill the gaps. Targets with verification gaps should be released with the highest priority to fill the verification gaps as quickly as possible.

[0132] Specific example: There is 1 verified matching boiler in the interval [13,14) of boiler #05, which is not 0; all other intervals have at least 1 boiler, so there is no interval with no verified matching boiler. Proceed to S43.

[0133] S43 uses the available flow rate range of the potential update target and the duration of the stable period within the available flow rate range, and combines it with the verification matching boilers within different available flow rate ranges to determine the operation update processing strategy for the potential update target.

[0134] Furthermore, the available flow rate interval where the number of matched boilers is less than a preset threshold for the number of matched boilers is used as the filtering interval. It is determined whether the sum of the duration proportions of the stable periods of the potential update targets within the filtering interval is greater than a preset value for duration proportion. If so, the operation update processing strategy for the potential update targets is determined as follows: when the running time of all observed boilers is greater than the preset duration threshold and the number of boilers with self-excited vibration is within a preset number, the potential update targets are no longer subject to restriction processing. If not, the operation update processing strategy for the potential update targets is determined as follows: when, excluding the observed boilers, there are a number of targets, the running time of boilers not subject to restriction processing is greater than the preset duration threshold and the number of boilers with self-excited vibration is within a preset number, the potential update targets are no longer subject to restriction processing.

[0135] Screening range: This refers to the available flow rate range where the number of matched boilers is insufficient (less than the preset threshold for the number of matched boilers). These ranges represent relatively weak points in the verification process, but they are not entirely blank.

[0136] Preset matching boiler quantity threshold: A preset value used to define which intervals belong to the screening intervals of insufficient verification.

[0137] Preset time percentage: A preset percentage value used to determine whether the runtime of a potential update target within the filtering interval is too high. If the percentage is high, it means that the target spends most of its time running in the weak validation area, and its operation can provide a large amount of data for these intervals, thus having high validation value.

[0138] Target quantity: A preset value that indicates how many derestricted boilers are needed as a reference sample.

[0139] When a potential update target has both insufficiently validated areas and no completely unvalidated areas, its operational habits need further examination. If most of its operating time is concentrated in insufficiently validated areas, its operation can effectively supplement the data in these weak areas and has high validation value, thus deserving the second most lenient removal conditions (depending on overall boiler data). If its operation is mainly concentrated in fully validated areas, its contribution to the weak areas is limited, the removal requirement is lower, and more stringent conditions are needed, i.e., waiting for other boilers that have already been removed to provide more reference before further evaluation.

[0140] Specific example: Suppose the preset threshold for the number of matching boilers is 3. Then, the screening interval for boiler #05 is [13,14) with 1 boiler and [14,15) with 2 boilers. Its time spent in the screening interval accounts for 40%, and the sum of the time spent in other intervals is 40%. Assuming the preset time percentage is 50%, 40% < 50%, therefore the "greater than" condition is not met, and the process proceeds to the "if not" branch. Thus, the update processing strategy is determined as follows: when, excluding the observed boilers, there are a target number of boilers without restrictions whose running time exceeds the preset time threshold and the number of boilers exhibiting self-excited vibration is within the preset number, then the potential update target is determined to no longer be subject to restrictions. Assuming the target number is 2, at least 2 boilers with unrestricted operation (such as #04 and #06) need to run for a sufficient time (e.g., 100 hours) without vibration before boiler #05 can be completely unrestricted.

[0141] The potential update target execution update processing strategy proposed in this embodiment of the invention uses a progressive judgment at four levels (S411, S421, S422, and S43) to conduct a personalized evaluation of each potential update target from multiple dimensions, such as its own contribution potential, the sufficiency of interval verification, the existence of verification blank areas, and the matching degree between its operating habits and weak areas. This scientifically determines the priority of its restriction removal and avoids a "one-size-fits-all" release strategy.

[0142] In addition to relying on data from observed boilers, boilers that have already had their restrictions lifted are also included in the scope of verification and matching boilers, forming a dynamically expanding verification network. This allows the evaluation results to be continuously optimized as the overall verification of the group progresses, ensuring that each lifting of restrictions is supported by sufficient data.

[0143] For targets that can fill validation gaps (S422) or provide substantial data for weak areas (S43 greater than branches), lenient conditions are applied for priority release to accumulate key data as quickly as possible. For targets that are already sufficiently validated and have low demand (S421), strict conditions are applied for delayed release to avoid uncertainty caused by premature release. For other targets with moderate demand (S43 less than branches), moderately strict conditions are applied to wait for more reference data. This tiered strategy maximizes release efficiency while ensuring safety.

[0144] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described vibration suppression strategy optimization management method when running the computer program.

[0145] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0146] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0147] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A vibration suppression strategy optimization management method, characterized in that, Specifically, it includes: Based on the monitoring data of the self-excited vibration of the superheated pipes of the boiler, the vibration suppression strategy of the superheated pipes of the boiler is determined. According to the correlation of the vibration suppression strategy, the superheated pipes of the boiler are divided into different groups. Based on the boiler data in the group and combined with the stable time period data of the boiler in different flow velocity ranges, the vibration suppression control target of the boiler is determined. Based on the historical operating data of the vibration suppression and control target, the matching operating flow rate range of the vibration suppression and control target is determined. By utilizing the correlation degree with different matching operating flow rate ranges and the flow rate fluctuation data, the operation management strategy of the boiler excluding the vibration suppression and control target is determined. The operation management strategy is used to manage the operation of different boilers. Based on the observation data of the boiler and combined with the restriction data of the vibration suppression and control target, when the update result of the potential updated target meets the requirements, the next step is initiated. Based on the stable time period data of the potential update targets in different flow rate ranges, and combined with the boiler data belonging to the matching operating flow rate range in different flow rate ranges, the operation update processing strategy of the potential update targets in the group is determined.

2. The vibration suppression strategy optimization management method as described in claim 1, characterized in that, The monitoring data of the self-excited vibration is determined based on the monitoring data of the vibration sensor of the superheated pipe of the boiler.

3. The vibration suppression strategy optimization management method as described in claim 1, characterized in that, The vibration suppression strategy for the superheated pipes of the boiler is determined based on the simulation results of the operating parameters of the superheated pipes in the simulation model.

4. The vibration suppression strategy optimization management method as described in claim 1, characterized in that, The superheated pipes of the boiler are divided into different groups, specifically including: Boilers employing the same vibration suppression strategy are grouped into the same group for their superheated pipes.

5. The vibration suppression strategy optimization management method as described in claim 1, characterized in that, The method for determining the vibration suppression and control target of the boiler is as follows: Determine the number of boilers in the group based on the boiler data in the group; Based on the stable time period data of the boiler in different flow rate ranges, the duration proportion of the stable time period of the boiler in different flow rate ranges is determined, and the available flow rate range of the boiler is determined by the duration proportion. By using the number of boilers in the group and the available flow rate range of the boilers, the vibration suppression control target of the boilers is determined.

6. The vibration suppression strategy optimization management method as described in claim 5, characterized in that, The stable period is the time during which the flow velocity at different monitoring times is within the specified flow velocity range.

7. The vibration suppression strategy optimization management method as described in claim 1, characterized in that, The matching operating velocity range for the vibration suppression and control target is determined based on the velocity range with the highest duration of the vibration suppression and control target.

8. The vibration suppression strategy optimization management method as described in claim 7, characterized in that, When the flow rate is not within the matched flow rate range, if the flow rate is in a stable period and is not within the matched flow rate range, the flow rate is adjusted by adjusting the flue gas damper so that the duration of all individual stable periods that are not within the matched flow rate range is controlled within the target duration as soon as possible.

9. The vibration suppression strategy optimization management method as described in claim 1, characterized in that, The method for determining the execution update processing strategy for potential update targets in the group is as follows: Based on the stable time period data of the potential update target in different flow rate ranges, determine the available flow rate range of the potential update target and the duration of the stable time period in the available flow rate range; Based on the degree of verification matching of different boilers within the available flow rate range of the potential update target, determine the boilers that belong to the matching operating flow rate range or the available flow rate range of boilers that are not subject to restriction treatment within the available flow rate range, and use them as verification matching boilers. By utilizing the available flow rate range of the potential update target and the duration of stable periods within the available flow rate range, and in conjunction with the verification matching boilers within different available flow rate ranges, the operation update processing strategy for the potential update target is determined.

10. A computer system, comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a vibration suppression strategy optimization management method according to any one of claims 1-9.

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