Method and system for selecting elastic compensation element of steam pipeline system

Abstract

The application provides a kind of steam pipeline system elastic compensation piece selection method and system, the method comprises: according to the target steam flow rate in target steam pipeline section of steam pipeline system, select multiple target selection reference data in selection database;According to the acceleration vibration level total drop and average jitter amplitude in each target selection reference data, obtain the performance evaluation value of the candidate elastic compensation piece corresponding to each target selection reference data;According to the performance evaluation value, select the elastic compensation piece of optimal stiffness corresponding to the target steam pipeline section in multiple candidate elastic compensation pieces.The application realizes the adaptive selection of optimal stiffness elastic compensation piece for steam pipeline section under different working conditions to optimize the design of target steam pipeline section, so that the steam pipeline section can obtain better vibration reduction and relief effect under different working conditions, improve the design efficiency and rationality of steam pipeline system, and reduce the operation risk of steam pipeline system.

Description

Technical Field

[0001] This invention relates to the field of pipeline rigidity design technology, and in particular to a method and system for selecting elastic compensation components for steam pipelines. Background Technology

[0002] Steam piping systems are widely used in power plants, large ships, and other propulsion systems. Due to the rapid flow of high-temperature, high-pressure steam, the steam pipelines experience severe vibrations, which can lead to serious leaks or loosening and rupture of pipeline components, especially at connections, potentially causing serious accidents. Therefore, it is necessary to select multiple elastic compensators in the steam piping system to mitigate vibration problems.

[0003] Currently, in the design of steam pipeline systems, the selection of elastic compensators is usually based on manual experience. However, due to the different steam flow velocities in different sections of the steam pipeline, the requirements for vibration mitigation and the stiffness of the elastic compensators also vary greatly. If the selected elastic compensator structure is too rigid, the vibration reduction, impact resistance, and displacement compensation effects will be poor; if the selected elastic compensator structure is too rigid, the pressure-bearing capacity will be limited and steam tremors will occur. Therefore, selecting elastic compensators based on manual experience suffers from poor design efficiency and rationality in steam pipeline systems.

[0004] Therefore, how to design a selection method and system for elastic compensation components in steam pipeline systems, improve the design efficiency and rationality of steam pipeline systems, and reduce the operational risks of steam pipeline systems is an important issue that the industry urgently needs to address. Summary of the Invention

[0005] This invention provides a method and system for selecting elastic compensators for steam pipeline systems, which addresses the shortcomings of existing technologies that rely on manual experience to select elastic compensators, resulting in poor design efficiency and rationality of steam pipeline systems. This invention aims to improve the design efficiency and rationality of steam pipeline systems and reduce their operational risks.

[0006] This invention provides a method for selecting elastic compensating components for a steam pipeline system, comprising:

[0007] Based on the target steam flow velocity of the target steam pipeline section in the steam pipeline system, select multiple target selection reference data from the selection database;

[0008] Based on the total drop in acceleration level and the average jitter amplitude in the target selection reference data, obtain the performance evaluation value of the candidate elastic compensation component corresponding to each target selection reference data;

[0009] Based on the performance evaluation value, the elastic compensator with the optimal stiffness corresponding to the target steam pipeline section is selected from among the multiple candidate elastic compensators.

[0010] According to the present invention, a method for selecting elastic compensation components for a steam pipeline system is provided, wherein the selection database is constructed based on the following steps:

[0011] Simulation experiments were conducted on the optional elastic compensation components with different stiffnesses configured in the test steam pipeline section of the simulated steam pipeline system under different test steam flow rates.

[0012] Acceleration sensors are configured at both ends of each of the selected elastic compensation components to be matched, and the first acceleration amplitude and the second acceleration amplitude of each of the selected elastic compensation components to be matched at different vibration frequencies are collected during the simulation experiment.

[0013] Based on the first acceleration amplitude and the second acceleration amplitude, the total drop in acceleration level of each of the selected elastic compensation components is obtained;

[0014] The camera at the front end of each of the optional elastic compensation components is used to collect the shaking amplitude of each of the optional elastic compensation components at different vibration frequencies during the simulation experiment.

[0015] Based on the vibration amplitude, the average vibration amplitude of each of the selected elastic compensation components is obtained;

[0016] The selection database is constructed based on the test steam flow rate, the total drop in acceleration vibration level of each of the selected elastic compensation components, and the average vibration amplitude of each of the selected elastic compensation components.

[0017] According to the method for selecting elastic compensators for a steam pipeline system provided by the present invention, the calculation formula for the total drop in acceleration vibration level of the elastic compensator to be selected is as follows:

[0018]

[0019] Wherein, ΔB′ is the total drop in acceleration level of the selected elastic compensation component, and f′ max and f′ min These are the maximum and minimum vibration frequencies, respectively, a A′ (f) is the first acceleration amplitude of the elastic compensation component to be selected, a B′ (f) is the second acceleration amplitude of the elastic compensation component to be selected.

[0020] According to the present invention, a method for selecting elastic compensation components for a steam pipeline system includes selecting multiple target selection reference data from a selection database based on the target steam flow rate of a target steam pipeline section in the steam pipeline system, which includes matching the target steam flow rate with the test steam flow rate under each operating condition in the selection database.

[0021] Based on the matching results, the target operating condition with the highest degree of matching between the test steam flow rate and the target steam flow rate is selected from the selection database.

[0022] Based on all the selection reference data under the target operating conditions, obtain multiple target selection reference data.

[0023] According to the present invention, a method for selecting elastic compensators for a steam pipeline system includes obtaining performance evaluation values ​​of candidate elastic compensators corresponding to each of the target selection reference data based on the total drop in acceleration vibration level and the average jitter amplitude in each of the target selection reference data.

[0024] The total drop in acceleration level and the average jitter amplitude in the reference data for each target selection are normalized.

[0025] Based on the performance configuration parameters of the elastic compensator, obtain the weighting coefficients corresponding to the total drop in acceleration level and the average jitter amplitude in the target selection reference data;

[0026] Based on the weighting coefficients, the total drop in acceleration level after normalization and the average jitter amplitude after normalization are weighted and summed to obtain the performance evaluation value of each candidate elastic compensation component.

[0027] According to the present invention, a method for selecting elastic compensators for a steam pipeline system, wherein selecting the elastic compensator with the optimal stiffness corresponding to the target steam pipeline segment from a plurality of candidate elastic compensators based on the performance evaluation value includes:

[0028] Among the multiple candidate elastic compensation components, the candidate elastic compensation component with the largest performance evaluation value is selected;

[0029] The candidate elastic compensator with the highest performance evaluation value is selected as the elastic compensator with the optimal stiffness.

[0030] This invention also provides a selection system for elastic compensators in a steam pipeline system, comprising:

[0031] The first selection unit is used to select multiple target selection reference data from the selection database based on the target steam flow rate of the target steam pipeline section in the steam pipeline system.

[0032] The evaluation unit is used to obtain the performance evaluation value of the candidate elastic compensation component corresponding to each of the target selection reference data based on the total drop in acceleration level and the average jitter amplitude in each of the target selection reference data.

[0033] The second selection unit is used to select the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline section from among the multiple candidate elastic compensation components based on the performance evaluation value.

[0034] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the selection method for elastic compensation components of any of the above-described steam pipeline systems.

[0035] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for selecting elastic compensation components for a steam pipeline system as described above.

[0036] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the selection method for elastic compensation components of any of the steam pipeline systems described above.

[0037] The present invention provides a method and system for selecting elastic compensators for steam pipeline systems. By acquiring the target steam flow velocity of a target steam pipeline section under different operating conditions, multiple target selection reference data are adaptively selected based on the target steam flow velocity. Based on the total drop in acceleration level and average jitter amplitude in each target selection reference data, a performance evaluation value reflecting the comprehensive performance of the candidate elastic compensators corresponding to each target selection reference data in terms of vibration reduction effect and jitter amplitude is calculated. Based on the performance evaluation value, the elastic compensator with the optimal stiffness for the target steam pipeline section under the target steam flow velocity is adaptively selected from among the multiple candidate elastic compensators. This achieves adaptive selection of the optimal stiffness elastic compensator for the target steam pipeline section under different operating conditions, optimizing the design of the target steam pipeline section. This ensures that the steam pipeline section achieves good vibration reduction and mitigation effects under different operating conditions, improving the design efficiency and rationality of the steam pipeline system and reducing the operational risks of the steam pipeline system. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0039] Figure 1 This is a flowchart illustrating the selection method for elastic compensation components in a steam pipeline system provided by the present invention.

[0040] Figure 2 This is a schematic diagram of the structure of the simulated steam pipeline system under the simulated experimental environment provided by the present invention.

[0041] Figure 3This is a schematic diagram of the structure of the elastic compensation component selection system for the steam pipeline system provided by the present invention.

[0042] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0044] It should be noted that the terms "first," "second," etc., used in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps, units, or modules is not necessarily limited to those explicitly listed, but may include other steps, units, or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0045] Currently, in the design of steam pipeline systems, the selection of elastic compensators is usually based on manual experience. However, due to the different steam flow velocities in different sections of the steam pipeline, the requirements for vibration mitigation and the stiffness of the elastic compensators also vary greatly. If the selected elastic compensator structure is too rigid, the vibration reduction, impact resistance, and displacement compensation effects will be poor; if the selected elastic compensator structure is too rigid, the pressure-bearing capacity will be limited and steam tremors will occur. Therefore, selecting elastic compensators based on manual experience suffers from poor design efficiency and rationality in steam pipeline systems.

[0046] To address the aforementioned issues, this embodiment provides a method and system for selecting elastic compensators for steam pipeline systems. The method adaptively determines target selection reference data based on the target steam flow velocity of the target steam pipeline section requiring selection. Then, based on the total acceleration level difference ΔB' and average jitter amplitude D in the target selection reference data, a performance evaluation value μ is constructed reflecting the comprehensive performance of the candidate elastic compensators corresponding to the target selection reference data, considering both vibration reduction effect and jitter amplitude. Based on this value, the method adaptively selects and determines the elastic compensator with the optimal stiffness corresponding to the target steam pipeline section, thereby improving the design efficiency and rationality of the steam pipeline system and reducing its operational risks.

[0047] Figure 1 This is a flowchart illustrating the method for selecting elastic compensation components in a steam pipeline system provided by the present invention; as shown. Figure 1 As shown, the method can be implemented based on a built-in or external controller of the steam pipeline system, and the method includes steps 110, 120 and 130.

[0048] In step 110, multiple target selection reference data are selected from the selection database based on the target steam flow rate of the target steam pipeline section in the steam pipeline system.

[0049] The selection database here is constructed based on the test steam flow rate under different working conditions, and the simulation test of the elastic compensation components to be selected under different working conditions and test steam flow rates. The total drop of acceleration vibration level and the average vibration amplitude of the elastic compensation components to be selected with different stiffness are obtained. The selection database supports real-time configuration updates.

[0050] The target steam pipeline section here refers to the steam pipeline section in the steam pipeline system that requires the selection and configuration of elastic compensation components.

[0051] Optionally, when selecting and configuring elastic compensation components for the target steam pipeline section, the target steam velocity v under the operating conditions of the target steam pipeline section can be obtained. x Subsequently, based on the target steam flow rate v x Multiple target selection reference data are selected by associating them among multiple selection reference data stored in the selection database. The selection method may be to select by comparing the target steam flow rate with the test steam flow rate under each operating condition in the selection database, or by calculating the similarity between the target steam flow rate and the test steam flow rate under each operating condition in the selection database, etc. This embodiment does not specifically limit the method.

[0052] Step 120: Based on the total drop in acceleration level and the average jitter amplitude in each of the target selection reference data, obtain the performance evaluation value of the candidate elastic compensation component corresponding to each of the target selection reference data.

[0053] Optionally, after obtaining multiple target selection reference data corresponding to the target steam flow rate, a performance evaluation value μ can be jointly constructed based on the total drop in acceleration level ΔB′ and the average vibration amplitude D in each target selection reference data, reflecting the comprehensive performance of the vibration reduction effect and vibration amplitude of the candidate elastic compensation component corresponding to each target selection reference data.

[0054] The performance evaluation value μ of each candidate elastic compensator can be obtained by fusing the total acceleration level drop ΔB′ and the average jitter amplitude D through fusion logic, such as weighted addition or direct addition; or it can be obtained by fusing through a pre-trained fusion model, such as inputting the total acceleration level drop ΔB′ and the average jitter amplitude D from each target selection reference data into the fusion model, so that the fusion model outputs the performance evaluation value of each candidate elastic compensator; the fusion model here can be trained by using the total acceleration level drop ΔB′ and the average jitter amplitude D from a large number of sample selection reference data as samples, and using the performance evaluation labels of the elastic compensators corresponding to the sample selection reference data.

[0055] Step 130: Based on the performance evaluation value, select the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline section from among the multiple candidate elastic compensation components.

[0056] Optionally, the requirements for vibration mitigation and the stiffness selection of elastic compensation components vary significantly under different steam flow rates. Therefore, in order to select an elastic compensation component with appropriate stiffness for the target steam pipeline section at the target steam flow rate, and to maximize the design efficiency and rationality of the steam pipeline system, after obtaining the performance evaluation values ​​of multiple candidate elastic compensation components, these values ​​can be compared to select the elastic compensation component with the optimal stiffness suitable for the target steam flow rate. Based on this elastic compensation component, the target steam pipeline section can be optimized for design. This avoids the problem of poor vibration reduction, impact resistance, and displacement compensation due to excessively stiff elastic compensation structure, and also avoids the problem of insufficiently stiff elastic compensation structure, which limits pressure bearing capacity and causes steam oscillation, thereby improving the design efficiency and rationality of the steam pipeline system.

[0057] The method for selecting elastic compensators for steam pipeline systems provided in this embodiment obtains the target steam flow velocity of the target steam pipeline section under different operating conditions. Based on the target steam flow velocity, multiple target selection reference data are adaptively selected. According to the total drop in acceleration level and average vibration amplitude in each target selection reference data, a performance evaluation value reflecting the comprehensive performance of the candidate elastic compensators corresponding to each target selection reference data in terms of vibration reduction effect and vibration amplitude is calculated. Based on the performance evaluation value, among multiple candidate elastic compensators, the elastic compensator with the optimal stiffness adapted to the target steam pipeline section under the target steam flow velocity is adaptively selected. This achieves the adaptive selection of the elastic compensator with the optimal stiffness for the target steam pipeline section under different operating conditions for optimized design, so that the steam pipeline section can achieve a better vibration reduction effect under different operating conditions, improving the design efficiency and rationality of the steam pipeline system and reducing the operational risk of the steam pipeline system.

[0058] In some embodiments, the selection database is constructed based on the following steps: conducting simulation experiments on candidate elastic compensation components with different stiffnesses configured within the test steam pipeline section of the simulated steam pipeline system under operating conditions of different test steam flow rates; acquiring the first acceleration amplitude and the second acceleration amplitude of each candidate elastic compensation component at different vibration frequencies during the simulation experiment using acceleration sensors configured at both ends of each candidate elastic compensation component; obtaining the total drop in acceleration level of each candidate elastic compensation component based on the first acceleration amplitude and the second acceleration amplitude; acquiring the jitter amplitude of each candidate elastic compensation component at different vibration frequencies during the simulation experiment using a camera configured at the front end of each candidate elastic compensation component; obtaining the average jitter amplitude of each candidate elastic compensation component based on the jitter amplitude; and constructing the selection database based on each test steam flow rate, the total drop in acceleration level of each candidate elastic compensation component, and the average jitter amplitude of each candidate elastic compensation component.

[0059] Figure 2 This is a schematic diagram of the structure of a simulated steam pipeline system under a simulated experimental environment provided by the present invention; for example... Figure 2 As shown, the simulated steam pipeline system includes a steam boiler installed on the test steam pipeline section, a test steam pipeline, a steam flow rate regulating valve and an optional elastic compensation component configured on the test steam pipeline section, as well as acceleration sensors configured at both ends of the optional elastic compensation component, a camera configured at the front end of the optional elastic compensation component, and a data acquisition device; the camera may be a high-speed camera used to sense the amplitude of vibration.

[0060] Table 1 Data Distribution Table for Database Selection

[0061]

[0062] For the construction of the selection database, it is necessary to deploy an operating environment with adjustable steam flow rate for the simulated steam pipeline system under a simulation experimental environment, at different steam flow rates (v1, v2, v3, ..., v...). m Under operating conditions, for different stiffnesses (G1, G2, G3, ..., G...), n Iterative simulation experiments were conducted on the optional elastic compensation components.

[0063] For each optional elastic compensator, acceleration sensors and data acquisition devices are configured at both ends of the optional elastic compensator to collect the first acceleration amplitude and the second acceleration amplitude of the optional elastic compensator at different vibration frequencies during the simulation experiment. Based on the first acceleration amplitude and the second acceleration amplitude, the total drop in acceleration level ΔB′, which characterizes the vibration reduction effect of the optional elastic compensator, is obtained. Furthermore, a high-speed camera configured at the front end of the optional elastic compensator is used to test its jitter amplitude at different vibration frequencies. The jitter amplitudes at different vibration frequencies are averaged to obtain the average jitter amplitude D of the optional elastic compensator.

[0064] After obtaining the total acceleration level drop ΔB' and average vibration amplitude D for the optional elastic compensation components with m steam flow rates and n stiffnesses based on the above method, a selection database (ΔB', D) with m rows and n columns can be constructed. m×n The selection database structure is shown in Table 1, which is an m×n matrix, where m represents m steam flow rate conditions and n represents n stiffness options for elastic compensation components.

[0065] In some embodiments, the formula for calculating the total drop in acceleration vibration level of the optional elastic compensation component is as follows:

[0066]

[0067] Wherein, ΔB′ is the total drop in acceleration level of the selected elastic compensation component, and f′ max and f′ min These are the maximum and minimum vibration frequencies, α. A′ (f) represents the first acceleration amplitude of the elastic compensation component to be selected, α B′ (f) is the second acceleration amplitude of the elastic compensation component to be selected.

[0068] Optionally, the total drop in acceleration level ΔB′ is used to characterize the vibration reduction effect of the selected elastic compensation component, and its specific calculation process is described below.

[0069] Because the total difference in acceleration vibration levels between points A and B on the tested steam pipeline section is:

[0070]

[0071] Where, α A (f), α B (f) represents the acceleration amplitude measured by the accelerometers at points A and B at a certain frequency f, respectively. min f max These are the minimum and maximum values ​​for the calculated frequency range.

[0072] Therefore, when calculating the total drop in acceleration level of the elastic compensator, the calculation formula for the total drop in acceleration level of the steam pipeline section mentioned above can be used; specifically, by analyzing the equipment characteristics of the steam pipeline, its vibration frequency range is determined to be [f′]. min f′ max The front end (the end closer to the steam flow rate regulating valve) of the elastic compensator to be selected is defined as A′, and the rear end (the end farther from the steam flow rate regulating valve) is defined as B′. Based on the obtained parameters, the total drop in acceleration level ΔB′, which characterizes the vibration reduction effect of the elastic compensator to be selected, is calculated as follows:

[0073]

[0074] Where, α A′ (f) is the acceleration amplitude measured at a certain frequency f at the front end point A′ of the elastic compensation component to be selected, which is also the first acceleration amplitude; α B′ (f) is the acceleration amplitude measured at a certain frequency f at the front end B′ of the elastic compensation component to be selected, which is also the second acceleration amplitude; f′ min f′ max These are the minimum and maximum values ​​of the vibration frequency range of the steam pipeline connected to the optional elastic compensation component, respectively.

[0075] The method provided in this embodiment conducts simulation experiments on elastic compensators of various stiffnesses under different steam flow rates. During the simulation experiments, the total drop in acceleration level and the average vibration amplitude of the elastic compensator are accurately calculated using data collected by an accelerometer and a camera. This allows for the construction of a selection database containing rich selection reference data, so as to accurately match the most suitable elastic compensator to the steam pipeline section under different operating conditions, improve the stability and operating efficiency of the pipeline system, and extend the service life of the equipment.

[0076] In some embodiments, step 110, which involves selecting multiple target selection reference data from a selection database based on the target steam flow rate of a target steam pipeline segment in the steam pipeline system, further includes: matching the target steam flow rate with the test steam flow rate under each operating condition in the selection database; selecting, based on the matching result, the target operating condition in the selection database with the highest degree of matching between the test steam flow rate and the target steam flow rate; and obtaining multiple target selection reference data based on all selection reference data under the target operating condition.

[0077] Table 2 Distribution of Target Selection Reference Data

[0078]

[0079] Optionally, for the target steam pipeline section, the target steam velocity v under its operating conditions is considered. x The target steam flow rate v x Match the test steam flow rate with the selected steam flow rate under various operating conditions in the selection database to select the target steam flow rate v from the database. x The steam flow rate v with the highest matching degree i That is, the steam velocity v away from the target x closest steam velocity v i The working condition to which (1≤i≤m) belongs is taken as the target working condition. All selection reference data in the row under the target working condition are selected to form multiple target selection reference data, as shown in Table 2.

[0080] The method provided in this embodiment matches the target steam flow rate with the test steam flow rate under various operating conditions in the selection database, and then filters out multiple target selection reference data before making the final selection of the elastic compensation component of the steam pipeline system. This not only ensures the similarity between the selected operating conditions and the actual operating conditions, thereby ensuring that the performance of the selected elastic compensation component matches the actual needs and improving the accuracy of the selection, but also significantly improves the selection efficiency by avoiding the tedious process of comparing all operating condition data one by one.

[0081] In some embodiments, step 120, which involves obtaining the performance evaluation value of the candidate elastic compensator corresponding to each of the target selection reference data based on the total acceleration level drop and average jitter amplitude in each of the target selection reference data, further includes: normalizing the total acceleration level drop and average jitter amplitude in each of the target selection reference data; obtaining weighting coefficients corresponding to the total acceleration level drop and average jitter amplitude in each of the target selection reference data based on the elastic compensator operating performance configuration parameters; and weighting and summing the normalized total acceleration level drop and normalized average jitter amplitude based on the weighting coefficients to obtain the performance evaluation value of each of the candidate elastic compensators.

[0082] Optionally, for the calculation of the performance evaluation value, the total drop in acceleration level ΔB′ and the average jitter amplitude D in the target selection reference data can be normalized to construct a comprehensive performance evaluation value μ that reflects the vibration reduction effect and jitter amplitude of the elastic compensation structure. The following describes the calculation process of the performance evaluation value in detail.

[0083] First, the total drop in acceleration level ΔB and the average jitter amplitude D in the n target selection reference data are normalized so that the total drop in acceleration level and the average jitter amplitude data with different units and dimensions can be compared on the same scale, thereby eliminating the difference in dimensions between the data and improving the comparability and accuracy of the data.

[0084] Normalization can be achieved through methods such as minimization or other normalization techniques; the specific calculation formula for minimization normalization is as follows:

[0085]

[0086] Wherein, min(ΔB′) and max(ΔB′) are the minimum and maximum values ​​of the total drop ΔB′ of the n acceleration vibration levels, respectively, and min(D) and max(D) are the minimum and maximum values ​​of the n average jitter amplitudes D, respectively; The total drop in acceleration level after normalization; This represents the normalized average jitter amplitude.

[0087] Secondly, for elastic compensators, a larger total acceleration level drop ΔB′ and a smaller average jitter amplitude D are better. Therefore, weighting coefficients corresponding to the total acceleration level drop and average jitter amplitude can be obtained based on the performance configuration parameters of the elastic compensator. This ensures that the weights of different performance parameters are reasonably allocated in the evaluation process, thus more accurately reflecting the performance of the elastic compensator in actual operation. Subsequently, based on the weighting coefficients, the normalized total acceleration level drop and the normalized average jitter amplitude are weighted and summed to obtain the comprehensive performance evaluation value μ of vibration reduction effect and jitter amplitude. The specific calculation formula is as follows:

[0088]

[0089] Where α + β = 1, and α, β ≥ 0. α, β can be adaptively determined based on the specific operational configuration requirements for vibration reduction effect and vibration amplitude in the performance configuration parameters of the elastic compensator.

[0090] The method provided in this embodiment, by normalizing the total drop in acceleration level and the average jitter amplitude in the target selection reference data, obtaining weighting coefficients, and weighted summing to obtain performance evaluation values, can significantly improve the accuracy, comprehensiveness, and efficiency of selecting elastic compensation components for steam pipeline systems, providing strong support for optimizing pipeline system performance.

[0091] In some embodiments, step 130, which involves selecting the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline segment from among the plurality of candidate elastic compensation components based on the performance evaluation value, further includes: selecting the candidate elastic compensation component with the largest performance evaluation value from among the plurality of candidate elastic compensation components; and using the candidate elastic compensation component with the largest performance evaluation value as the elastic compensation component with the optimal stiffness.

[0092] Optionally, for the selection of the elastic compensator with optimal stiffness, the performance evaluation values ​​of n candidate elastic compensators can be compared and sorted, and the candidate elastic compensator with the largest performance evaluation value can be selected. This is determined as the selection result of the elastic compensator with optimal stiffness for this target steam pipeline section. Based on this, the elastic compensator with optimal stiffness can be selected, thereby improving the design efficiency and rationality of the steam pipeline system and reducing the operational risks of the steam pipeline system.

[0093] The method provided in this embodiment ensures that the selection result is the optimal choice based on comprehensive performance evaluation by selecting the candidate elastic compensation component with the largest performance evaluation value. This allows the system to better adapt to the operating conditions of the steam pipeline system, reduce vibration and impact, lower equipment failure rate, and thus optimize the performance of the entire pipeline system.

[0094] The following describes the selection system for elastic compensators in a steam pipeline system provided by the present invention. The selection system for elastic compensators in a steam pipeline system described below can be referred to in correspondence with the selection method for elastic compensators in a steam pipeline system described above.

[0095] Figure 3 This is a structural schematic diagram of the elastic compensation component selection system for the steam pipeline system provided by the present invention; as shown. Figure 3 As shown, the system includes a first selection unit 310, an evaluation unit 320, and a second selection unit 330.

[0096] The first selection unit 310 is used to select multiple target selection reference data from the selection database based on the target steam flow rate of the target steam pipeline section in the steam pipeline system.

[0097] The evaluation unit 320 is used to obtain the performance evaluation value of the candidate elastic compensation component corresponding to each of the target selection reference data based on the total drop in acceleration level and the average jitter amplitude in each of the target selection reference data.

[0098] The second selection unit 330 is used to select, from among the multiple candidate elastic compensation components, the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline section based on the performance evaluation value.

[0099] The elastic compensator selection system for steam pipeline systems provided in this embodiment obtains the target steam flow velocity of the target steam pipeline section under different operating conditions. Based on the target steam flow velocity, it adaptively selects multiple target selection reference data. According to the total drop in acceleration level and average vibration amplitude in each target selection reference data, it calculates a performance evaluation value reflecting the comprehensive performance of the candidate elastic compensators corresponding to each target selection reference data in terms of vibration reduction effect and vibration amplitude. Based on the performance evaluation value, it adaptively selects the elastic compensator with the optimal stiffness for the target steam pipeline section under the target steam flow velocity from among multiple candidate elastic compensators. This enables the adaptive selection of the elastic compensator with the optimal stiffness for the target steam pipeline section under different operating conditions for optimized design. This ensures that the steam pipeline section can achieve better vibration reduction and mitigation effects under different operating conditions, improves the design efficiency and rationality of the steam pipeline system, and reduces the operational risks of the steam pipeline system.

[0100] The system provided by this invention is used to execute the above-described method embodiments. For specific processes and details, please refer to the above embodiments, which will not be repeated here.

[0101] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4 As shown, the electronic device may include a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 can call logical instructions in the memory 430 to execute a method for selecting elastic compensators for a steam pipeline system. This method includes: selecting multiple target selection reference data from a selection database based on the target steam flow velocity of a target steam pipeline section in the steam pipeline system; obtaining performance evaluation values ​​of candidate elastic compensators corresponding to each target selection reference data based on the total drop in acceleration vibration level and the average jitter amplitude in each target selection reference data; and selecting the elastic compensator with the optimal stiffness corresponding to the target steam pipeline section from among the multiple candidate elastic compensators based on the performance evaluation values.

[0102] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0103] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the selection method for elastic compensators in a steam pipeline system provided by the above methods. The method includes: selecting multiple target selection reference data in a selection database based on the target steam flow velocity of a target steam pipeline section in the steam pipeline system; obtaining performance evaluation values ​​of candidate elastic compensators corresponding to each target selection reference data based on the total drop in acceleration vibration level and the average jitter amplitude in each target selection reference data; and selecting the elastic compensator with the optimal stiffness corresponding to the target steam pipeline section from among the multiple candidate elastic compensators based on the performance evaluation values.

[0104] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for selecting elastic compensators for a steam pipeline system provided by the methods described above. This method includes: selecting multiple target selection reference data from a selection database based on the target steam flow velocity of a target steam pipeline segment in the steam pipeline system; obtaining performance evaluation values ​​for candidate elastic compensators corresponding to each target selection reference data based on the total drop in acceleration level and the average jitter amplitude in each target selection reference data; and selecting, from the multiple candidate elastic compensators, an elastic compensator with the optimal stiffness corresponding to the target steam pipeline segment based on the performance evaluation values.

[0105] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0106] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting elastic compensation components for a steam pipeline system, characterized in that, include: Based on the target steam flow velocity of the target steam pipeline section in the steam pipeline system, select multiple target selection reference data from the selection database; Based on the total drop in acceleration level and the average jitter amplitude in the target selection reference data, obtain the performance evaluation value of the candidate elastic compensation component corresponding to each target selection reference data; Based on the performance evaluation value, among the multiple candidate elastic compensation components, select the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline section; The step of obtaining the performance evaluation value of the candidate elastic compensation component corresponding to each of the target selection reference data based on the total drop in acceleration level and the average jitter amplitude in each of the target selection reference data includes: The total drop in acceleration level and the average jitter amplitude in the reference data for each target selection are normalized. Based on the performance configuration parameters of the elastic compensator, obtain the weighting coefficients corresponding to the total drop in acceleration level and the average jitter amplitude in the target selection reference data; Based on the weighting coefficients, the total drop in acceleration level after normalization and the average jitter amplitude after normalization are weighted and summed to obtain the performance evaluation value of each candidate elastic compensation component. The step of selecting the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline segment from among the multiple candidate elastic compensation components based on the performance evaluation value includes: Among the multiple candidate elastic compensation components, the candidate elastic compensation component with the largest performance evaluation value is selected; The candidate elastic compensator with the highest performance evaluation value is selected as the elastic compensator with the optimal stiffness.

2. The method for selecting elastic compensation components for a steam pipeline system according to claim 1, characterized in that, The selection database was constructed based on the following steps: Simulation experiments were conducted on the optional elastic compensation components with different stiffnesses configured in the test steam pipeline section of the simulated steam pipeline system under different test steam flow rates. Acceleration sensors are configured at both ends of each of the selected elastic compensation components to collect the first acceleration amplitude and the second acceleration amplitude of each of the selected elastic compensation components at different vibration frequencies during the simulation experiment. Based on the first acceleration amplitude and the second acceleration amplitude, the total drop in acceleration level of each of the selected elastic compensation components is obtained; The camera at the front end of each of the optional elastic compensation components is used to collect the shaking amplitude of each of the optional elastic compensation components at different vibration frequencies during the simulation experiment. Based on the vibration amplitude, the average vibration amplitude of each of the selected elastic compensation components is obtained; The selection database is constructed based on the test steam flow rate, the total drop in acceleration vibration level of each of the selected elastic compensation components, and the average vibration amplitude of each of the selected elastic compensation components.

3. The method for selecting elastic compensation components for a steam pipeline system according to claim 2, characterized in that, The formula for calculating the total drop in acceleration level of the optional elastic compensation component is as follows: Wherein, ΔB′ is the total drop in acceleration level of the selected elastic compensation component, and f′ max and f′ min These are the maximum and minimum vibration frequencies, α. A′ (f) represents the first acceleration amplitude of the elastic compensation component to be selected, α B′ (f) is the second acceleration amplitude of the elastic compensation component to be selected.

4. The method for selecting elastic compensation components for a steam pipeline system according to claim 2, characterized in that, The step involves selecting multiple target selection reference data from the selection database based on the target steam flow rate of the target steam pipeline section in the steam pipeline system, including: The target steam flow rate is matched with the test steam flow rates under various operating conditions in the selection database; Based on the matching results, the target operating condition with the highest degree of matching between the test steam flow rate and the target steam flow rate is selected from the selection database. Based on all the selection reference data under the target operating conditions, obtain multiple target selection reference data.

5. A selection system for elastic compensating components in a steam pipeline system, characterized in that, include: The first selection unit is used to select multiple target selection reference data from the selection database based on the target steam flow rate of the target steam pipeline section in the steam pipeline system. The evaluation unit is used to obtain the performance evaluation value of the candidate elastic compensation component corresponding to each of the target selection reference data based on the total drop in acceleration level and the average jitter amplitude in each of the target selection reference data. The second selection unit is used to select the elastic compensation component with the optimal stiffness corresponding to the target steam pipeline section from among the multiple candidate elastic compensation components based on the performance evaluation value. The evaluation unit is specifically used for: The total drop in acceleration level and the average jitter amplitude in the reference data for each target selection are normalized. Based on the performance configuration parameters of the elastic compensator, obtain the weighting coefficients corresponding to the total drop in acceleration level and the average jitter amplitude in the target selection reference data; Based on the weighting coefficients, the total drop in acceleration level after normalization and the average jitter amplitude after normalization are weighted and summed to obtain the performance evaluation value of each candidate elastic compensation component. The second selection unit is specifically used for: Among the multiple candidate elastic compensation components, the candidate elastic compensation component with the largest performance evaluation value is selected; The candidate elastic compensator with the highest performance evaluation value is selected as the elastic compensator with the optimal stiffness.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method for selecting elastic compensation components for the steam pipeline system as described in any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for selecting elastic compensation components for the steam pipeline system as described in any one of claims 1 to 4.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for selecting elastic compensation components for the steam pipeline system as described in any one of claims 1 to 4.

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