Method and system for predicting vortex-induced vibration fatigue life of stay cable of guyed tower

Abstract

The invention provides a stay wire tower stay cable vortex-induced vibration fatigue life prediction method and system, and relates to the technical field of power transmission line towers, and the method comprises the steps: obtaining sensing detection parameters corresponding to a to-be-detected stay wire tower; the sensing detection parameters comprise sag, sag maximum position stress, specific load, span, altitude difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters; fusing tension data obtained through sensing detection parameters with tension data estimated through a structural mechanical model by adopting a Kalman filtering algorithm, and determining a tension time history of the stay wire structure within a preset time range, determining natural vibration frequencies of the stay wire structure at different moments within the preset time range by combining the wire length and the quality of the stay wire structure; and determining a target oscillation-starting wind speed range by using a first mapping relation between the natural vibration frequency and the oscillation-starting wind speed of the stay wire structure, and determining a life prediction result of the stay wire structure in combination with wind speed distribution and the number of fatigue cycles in the preset time range.

Description

Technical Field

[0001] This invention relates to the field of power transmission line tower technology, and in particular to a method and system for predicting the fatigue life of vortex-induced vibration of guyed tower cables. Background Technology

[0002] With the vigorous development of ultra-high voltage (UHV) power transmission, steel pipe towers are widely used. Compared with angle steel towers, steel pipe towers have lower wind pressure, higher stiffness, simpler structure, and clearer force transmission, fully utilizing the load-bearing capacity of materials. The application of steel pipe towers reduces the weight of the tower and the foundation force, while also enhancing the structure's ability to resist natural disasters under extreme conditions, offering technical and economic advantages. Therefore, steel pipe towers are more suitable for the development trend of high-load and large-scale transmission towers and are widely used in the construction of UHV transmission lines. Steel pipe cross-sections have a small wind load shape coefficient and good torsional resistance. However, the main problem currently restricting the application of steel pipe towers is the vortex-induced vibration (VEM) of the tower components. Because the guy wires have a near-circular cross-section, they are prone to VEM under stable incoming wind conditions. Long-term VEM can lead to fatigue breakage of strands and wires near the guy wire clamps, causing safety accidents. Therefore, conducting fatigue life prediction of vortex-induced vibration of guy wire cables is of great significance for ensuring the structural safety of guy wire towers. Summary of the Invention

[0003] In view of this, the present invention proposes a method and system for predicting the fatigue life of vortex-induced vibration of guyed tower cables.

[0004] The technical solution of this invention is implemented as follows: The first aspect of this invention provides a method for predicting the fatigue life of vortex-induced vibration of guy wire tower cables, comprising:

[0005] Obtain the sensing and detection parameters corresponding to the guyed tower under test; the sensing and detection parameters include sag, maximum sag stress, specific load, span, elevation difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters obtained by multiple sensors;

[0006] The tension data obtained through the sensor detection parameters is fused with the tension data estimated by the structural mechanics model using the Kalman filter algorithm to determine the tension time history of the guy wire structure within a preset time range. The natural frequency of the guy wire structure at different times within the preset time range is determined by combining the length and mass of the guy wire structure.

[0007] The target starting wind speed range is determined by using the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure. The life prediction result of the guyed structure is determined by combining the wind speed distribution and the number of fatigue cycles within the preset time range.

[0008] Based on the above technical solutions, preferably, the acquisition of the sensing parameters corresponding to the guyed tower under test includes:

[0009] The guy wire structure parameters and corresponding meteorological parameters of the guy wire tower under test are periodically acquired, and the average guy wire structure parameters and average meteorological parameters in each period are used as the sensing and detection parameters for the corresponding period.

[0010] Based on the above technical solutions, preferably, the step of using a Kalman filter algorithm to fuse the tension data obtained through the sensing detection parameters with the tension data estimated through the structural mechanics model to determine the tension time history of the guy wire structure within a preset time range, and combining the length and mass of the guy wire structure to determine the natural frequency of the guy wire structure at different times within the preset time range, includes:

[0011] The first tension data is obtained through the sensor detection parameters, and the second tension data is estimated through the structural mechanics model.

[0012] The first tension data and the second tension data are fused using a Kalman filter algorithm to determine the stress time history of the tension wire structure within a preset time range, and to obtain the cross-sectional area of ​​the tension wire structure at different times within the preset time range.

[0013] Based on the stress time history and the cross-sectional area at the corresponding moment, the tension time history of the drawwire structure within a preset time range is determined.

[0014] Based on the above technical solutions, preferably, a Kalman filter algorithm is used to fuse the tension data obtained through the sensing detection parameters with the tension data estimated through the structural mechanics model to determine the tension time history of the guy wire structure within a preset time range. Combined with the length and mass of the guy wire structure, the natural frequencies of the guy wire structure at different times within the preset time range are determined, including:

[0015] Acquire multiple sets of historical sample data; the historical sample data includes the sample wire length, sample mass, sample tension parameters, and sample natural frequency of the wire structure;

[0016] Based on the historical sample data, a tension frequency initiation model is constructed to determine the second mapping relationship between tension parameters and natural frequency.

[0017] The natural frequencies of the drawwire structure at different times within the preset time range are determined based on the tension time history and the second mapping relationship.

[0018] Based on the above technical solutions, preferably, the step of determining the target starting wind speed range by utilizing the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and determining the life prediction result of the guyed structure by combining the wind speed distribution and the number of fatigue cycles within the preset time range, includes:

[0019] The first mapping relationship between the natural frequency and the starting wind speed of the guy wire structure is determined based on the principle of vortex-induced resonance; the first mapping relationship is positively correlated.

[0020] Based on the above technical solutions, preferably, the step of determining the target starting wind speed range by utilizing the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and determining the life prediction result of the guyed structure by combining the wind speed distribution and the number of fatigue cycles within the preset time range, further includes:

[0021] The preset time range is divided into multiple sub-intervals according to a preset step size, and the total number of vibrations and the number of valid sub-intervals corresponding to each sub-interval are obtained; the valid sub-intervals are the sub-intervals in which vibration occurs; the duration of the sub-intervals is the same as the parameter acquisition period.

[0022] The cumulative damage to the wire structure per unit time is determined based on the total number of vibrations and the number of effective sub-intervals.

[0023] The lifetime prediction result is determined based on the cumulative damage of the wire structure per unit time.

[0024] Based on the above technical solutions, preferably, the step of determining the cumulative damage of the guy wire structure per unit time based on the total number of vibrations and the number of effective sub-intervals includes:

[0025] The natural frequencies of the effective sub-intervals are averaged and equivalently processed to obtain the equivalent frequencies;

[0026] The equivalent stress amplitude is determined based on the equivalent frequency, and the cumulative damage of the wire structure per unit time is determined by combining the Miner's rule.

[0027] More preferably, a second aspect of the present invention provides a fatigue life prediction system for vortex-induced vibration of guyed tower cables, comprising: a parameter acquisition module, a frequency determination module, and a life prediction module; wherein,

[0028] The parameter acquisition module is configured to acquire the sensing and detection parameters corresponding to the guyed tower under test; the sensing and detection parameters include sag, maximum sag stress, specific load, span, elevation difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters obtained by multiple sensors;

[0029] The frequency determination module is configured to use a Kalman filter algorithm to fuse the tension data obtained through the sensing detection parameters with the tension data estimated through the structural mechanics model, determine the tension time history of the guy wire structure within a preset time range, and determine the natural frequency of the guy wire structure at different times within the preset time range by combining the length and mass of the guy wire structure.

[0030] The life prediction module is configured to determine the target starting wind speed range by using the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and to determine the life prediction result of the guyed structure by combining the wind speed distribution and the number of fatigue cycles within the preset time range.

[0031] More preferably, a third aspect of the present invention provides an electronic device, including a processor and a memory; the memory has a stored computer program, wherein the computer program, when executed by the processor, implements the method for predicting the fatigue life of vortex-induced vibration of guy wire tower cables as described in the first aspect.

[0032] More preferably, a fourth aspect of the present invention provides a computer storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the method for predicting the fatigue life of vortex-induced vibration of guy wire tower cables as described in the first aspect.

[0033] The method and system for predicting the fatigue life of vortex-induced vibration of guy wire tower cables of the present invention have the following advantages over the prior art:

[0034] 1. By integrating guyed structure parameters, meteorological parameters, and dynamic characteristics, a refined fatigue analysis of guyed structures under complex environments is achieved. Based on meteorological parameters within a preset time range, a tension time history curve is generated instead of a static average value. This captures transient tension changes caused by temperature fluctuations and wind speed variations, providing more accurate input for fatigue damage calculation. Furthermore, based on wind speed distribution and the range of initiation wind speeds, the number of fatigue cycles of the guyed structure within a preset time period is statistically analyzed, rather than simply assuming a constant number of cycles. This better reflects the characteristics of actual random wind fields and greatly improves the accuracy of life prediction for guyed structures.

[0035] 2. Tension data is obtained based on sensor detection parameters and structural mechanics models, respectively, while the structural mechanics model is not directly affected by sensor measurement errors. The Kalman filter algorithm can comprehensively consider sensor measurement data and model estimation data, and fuse them through a weighted average, making the fused tension data closer to the true value, effectively reducing the impact of sensor errors on data accuracy.

[0036] 3. By dividing the preset time range into multiple sub-intervals with preset step sizes, the duration of each sub-interval is consistent with the parameter acquisition cycle, ensuring uniform time resolution. Combined with vibration monitoring to identify effective sub-intervals and count the total number of vibrations, the contribution of different vibration types in different sub-intervals to the total damage is distinguished. Through time series analysis of cumulative damage, the time when damage reaches a critical value is predicted, thereby outputting dynamic life prediction results. This avoids over-maintenance or under-maintenance and optimizes the total life cycle cost. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present 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 only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 A flowchart illustrating a method for predicting the fatigue life of a guyed tower cable vortex-induced vibration, provided in an embodiment of the present invention.

[0039] Figure 2 This is a schematic diagram illustrating an application scenario of a method for predicting the fatigue life of vortex-induced vibration of guyed tower cables provided in an embodiment of the present invention.

[0040] Figure 3 This is a schematic diagram of the structure of a fatigue life prediction system for vortex-induced vibration of a guyed tower cable provided in an embodiment of the present invention;

[0041] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0042] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0043] In some embodiments, such as Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for predicting the fatigue life of a guyed tower cable due to vortex-induced vibration, provided by an embodiment of the present invention. The method for predicting the fatigue life of a guyed tower cable due to vortex-induced vibration, provided by the present invention, includes:

[0044] S110, acquire the sensor detection parameters corresponding to the guyed tower under test; the sensor detection parameters include sag, maximum sag stress, specific load, span, elevation difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters.

[0045] Sag is the vertical deflection of a guy wire under its own weight and tension, reflecting the degree of structural relaxation. It can be calculated by measuring the coordinates of the two ends of the guy wire with a total station and combining this with geometric relationships, or it can be inferred from the sag using tension sensors. The maximum sag stress is the axial stress at the lowest point of the guy wire sag, usually the point of maximum stress in the structure. It can be directly measured using strain gauges or fiber optic sensors, or it can be calculated by measuring the tension of the entire tower using a tension meter and combining this with the sag geometry.

[0046] For example, please refer to Figure 2 , Figure 2 This is a schematic diagram illustrating an application scenario of a method for predicting the fatigue life of vortex-induced vibration of guyed tower cables, as provided in an embodiment of the present invention. In addition to anemometers and thermometers, other detection devices or apparatuses can be installed on the guyed tower to measure relevant parameters, such as strain sensors and displacement sensors.

[0047] In some embodiments, S110, obtaining the sensing parameters corresponding to the guyed tower under test includes:

[0048] The guy wire structure parameters and corresponding meteorological parameters of the guy wire tower under test are periodically acquired, and the average guy wire structure parameters and average meteorological parameters in each period are used as the sensing detection parameters for the corresponding period.

[0049] Sensor measurements are subject to random fluctuations due to electromagnetic interference, mechanical vibration, and other factors. Averaging these values ​​can reduce the impact of noise and improve the signal-to-noise ratio. Periodic averaging clearly shows the trend of parameter changes over time. Here, the period length can be ten minutes, twenty minutes, or any other timeframe; there is no specific limitation.

[0050] S120 uses a Kalman filter algorithm to fuse the tension data obtained by sensing parameters with the tension data estimated by the structural mechanics model to determine the tension time history of the guy wire structure within a preset time range. Combined with the length and mass of the guy wire structure, the natural frequency of the guy wire structure at different times within the preset time range is determined.

[0051] The Kalman filter algorithm integrates tension data obtained from sensor detection parameters and tension data estimated by a structural mechanics model by establishing a system state-space model. The state equation describes the change of tension over time, while the observation equation links the sensor measurements to the system state. Through prediction and update steps, the state estimation is continuously optimized to obtain a more accurate tension time history.

[0052] In some embodiments, S120, a Kalman filter algorithm is used to fuse the tension data obtained through sensor detection parameters with the tension data estimated through a structural mechanics model to determine the tension time history of the guy wire structure within a preset time range. The natural frequencies of the guy wire structure at different times within the preset time range are determined by combining the wire length and mass of the guy wire structure.

[0053] The first tension data is obtained by sensing and detecting parameters, and the second tension data is estimated by a structural mechanics model.

[0054] The Kalman filter algorithm is used to fuse the first tension data and the second tension data to determine the stress time history of the tension wire structure within a preset time range, and to obtain the cross-sectional area of ​​the tension wire structure at different times within the preset time range.

[0055] Based on the stress time history and the cross-sectional area at the corresponding moment, the tension time history of the guy wire structure within a preset time range is determined.

[0056] In this embodiment, various sensors can be strategically arranged on the guyed tower under test to detect relevant parameters. For example, tension sensors can be used to directly measure the tension of the guyed structure, strain sensors can be used to calculate the stress at the maximum sag position based on mechanical relationships, and meteorological sensors can be used to obtain meteorological parameters such as temperature and wind speed. For the structural mechanics model, it is assumed that the guyed structure is a flexible cable, bearing only tension and not bending moment or shear force, and the slight variation of the guyed structure's self-weight along the arc length is ignored, with its self-weight uniformly distributed along the span direction. If the guyed structure is a small-sag guyed structure, a parabolic model is used for the structural mechanics model. If the guyed structure is a large-sag guyed structure, a catenary model is used for the structural mechanics model. By combining the corresponding sensor detection parameters, the second tension data can be obtained.

[0057] In one example, the stress equation for a guyed structure can be expressed as:

[0058]

[0059] Where: σ 01 and σ 02 These represent the stresses at the locations of maximum sag of the wire at temperatures t1 and t2, respectively, σ 01 It can be done through formula Calculations are performed; γ1 and γ2 are the specific loads of the guy wires at temperatures t1 and t2, calculated based on the combined specific load under wind conditions and no ice; l and β are the span and elevation difference angle; α and E are the coefficient of thermal expansion and modulus of elasticity of the overhead line, f m The sag of the string at temperature t1 can be observed using a theodolite.

[0060] The tension T of the wire at temperature t2 02 for:

[0061] T 02 =σ 02 A n ;

[0062] A n Let t be the cross-sectional area of ​​the wire at temperature t2.

[0063] That is, the tension at any moment within the preset time range is the product of the cross-sectional area and the stress at that moment.

[0064] In some embodiments, S120, a Kalman filter algorithm is used to fuse the tension data obtained through the sensing detection parameters with the tension data estimated by the structural mechanics model to determine the tension time history of the guy wire structure within a preset time range. The natural frequencies of the guy wire structure at different times within the preset time range are determined by combining the wire length and mass of the guy wire structure.

[0065] Acquire multiple sets of historical sample data; the historical sample data includes the sample wire length, sample mass, sample tension parameters, and sample natural frequency of the wire structure;

[0066] A tension frequency initiation model is constructed based on historical sample data to determine the second mapping relationship between tension parameters and natural frequency.

[0067] The natural frequencies of the wire structure at different times within a preset time range are determined based on the tension time history and the second mapping relationship.

[0068] The vortex-induced vibration of a guyed structure is closely related to wind speed. Vortex-induced resonance occurs only when the frequency of vortex shedding at both sides of the guyed structure is the same as the natural frequency of the guyed structure. The frequency of vortex shedding can be calculated by the following formula:

[0069]

[0070] In the formula, St is the Stroha number of the circular cross-section, which can be taken as 0.2, v is the wind speed, and D is the outer diameter of the guy wire structure.

[0071] The wind speed at which a guyed structure experiences vortex-induced resonance is called the initiation wind speed. The initiation wind speed v of the guyed structure can be obtained from the above formula. cr It can be calculated using the following formula:

[0072] v cr =f i D / St;

[0073] f i Let be the i-th natural frequency of the wire structure.

[0074] As can be seen from the above formula, the starting wind speed of a guyed structure is related to its natural frequency. The lower the natural frequency of the guyed structure, the lower the starting wind speed, and vice versa. The natural frequency of the guyed structure is determined by its geometry and tension.

[0075]

[0076] In the formula, n is the order, which is usually taken as 1; l is the length of the wire; T0 is the tension of the wire; and m is the mass of the wire.

[0077] The vortex-induced vibration of the tension wire exhibits a locking phenomenon, that is, at v cr ~1.3v cr Within the wind speed range, the frequency of vortex shedding remains consistent with the natural frequency of the guy wire; however, when the wind speed exceeds 1.3V... cr When the vortex-induced vibration phenomenon of the tension wire gradually disappears.

[0078] S130: The target starting wind speed range is determined by using the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure. Combined with the wind speed distribution and the number of fatigue cycles within the preset time range, the life prediction result of the guyed structure is determined.

[0079] In some embodiments, S130, the target starting wind speed range is determined using a first mapping relationship between the natural frequency and the starting wind speed of the guyed structure. Combining the wind speed distribution and the number of fatigue cycles within a preset time range, the life prediction result of the guyed structure is determined, including:

[0080] The first mapping relationship between the natural frequency and the starting wind speed of the guy wire structure is determined based on the principle of vortex-induced resonance; the first mapping relationship is positively correlated.

[0081] Based on the aforementioned formula for calculating the starting wind speed of the wire structure, v cr =f i From D / St, we can know the starting wind speed v. cr It is positively correlated with the natural frequency, and D and St are approximately constant.

[0082] In another example, a nonlinear St model can also be used, taking into account the influence of the Reynolds number on the Stroha number St of the circular cross section, to correct the first mapping relationship between the starting wind speed and the natural frequency, thereby improving the final prediction accuracy.

[0083] In some embodiments, S130, the target starting wind speed range is determined using a first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and the life prediction result of the guyed structure is determined by combining the wind speed distribution and the number of fatigue cycles within a preset time range, further including:

[0084] The preset time range is divided into multiple sub-intervals according to a preset step size. The total number of vibrations and the number of valid sub-intervals are obtained for each sub-interval. The valid sub-intervals are the sub-intervals in which vibrations occur. The duration of the sub-intervals is the same as the parameter acquisition period.

[0085] The cumulative damage to the wire structure per unit time is determined based on the total number of vibrations and the number of effective sub-intervals.

[0086] Lifetime prediction results are determined based on cumulative damage to the wire structure per unit time.

[0087] Here, a preset time range is divided into multiple sub-intervals with preset step sizes, and the duration of each sub-interval is consistent with the parameter acquisition cycle to ensure uniform time resolution. Effective sub-intervals are identified by combining vibration monitoring, and the total number of vibrations is counted to distinguish the contribution of different vibration types in different sub-intervals to the total damage.

[0088] In some embodiments, the cumulative damage of the guyed structure per unit time is determined based on the total number of vibrations and the number of effective sub-intervals, including:

[0089] The natural frequencies of the effective sub-intervals are averaged and equivalently processed to obtain the equivalent frequencies;

[0090] The equivalent stress amplitude is determined based on the equivalent frequency, and the cumulative damage of the wire structure per unit time is determined by combining the Miner's rule.

[0091] In this embodiment, considering that each cycle of cyclic loading causes damage to the structure or material, and that this damage can accumulate linearly, fatigue failure will occur when the accumulated damage reaches a critical value. The number of fatigue cycles within a statistical time range is calculated using a linear cumulative fatigue damage calculation method, and the fatigue life is calculated by combining the vibration frequency and wind speed distribution.

[0092]

[0093] Where, n i n represents the number of fatigue cycles within the i-th statistical interval. i-1 N is the number of fatigue cycles in the previous statistical interval (i-1). i-1 N is the number of cycles required for fatigue failure of the material at the stress level corresponding to the previous statistical interval. i It is the number of cycles required for the material to undergo fatigue failure under the stress level corresponding to the current statistical interval i.

[0094] Within the current statistical interval, considering the cumulative damage already incurred in previous intervals, the relationship between the remaining tolerable number of fatigue cycles and the failure cycle count at the current stress level is analyzed. In other words, based on the extent of previous damage, the remaining fatigue cycles that the current interval can withstand are calculated, thereby determining the fatigue life of the wire-stayed structure.

[0095] In some embodiments, please refer to Figure 3 , Figure 3 This is a schematic diagram of a fatigue life prediction system for vortex-induced vibration of a guyed tower cable according to an embodiment of the present invention. The present invention provides a guyed tower cable vortex-induced vibration fatigue life prediction system 300, comprising: a parameter acquisition module 310, a frequency determination module 320, and a life prediction module 330; wherein,

[0096] The parameter acquisition module 310 is configured to acquire the sensing and detection parameters corresponding to the guyed tower under test; the sensing and detection parameters include sag, maximum sag stress, specific load, span, elevation difference angle, coefficient of thermal expansion, elastic modulus and meteorological parameters;

[0097] The frequency determination module 320 is configured to use a Kalman filter algorithm to fuse the tension data obtained by the sensor detection parameters with the tension data estimated by the structural mechanics model, determine the tension time history of the guy wire structure within a preset time range, and determine the natural frequency of the guy wire structure at different times within the preset time range by combining the length and mass of the guy wire structure.

[0098] The life prediction module 330 is configured to determine the target starting wind speed range by using the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and to determine the life prediction result of the guyed structure by combining the wind speed distribution and the number of fatigue cycles within a preset time range.

[0099] In some embodiments, the parameter acquisition module 310 is specifically configured as follows:

[0100] The guy wire structure parameters and corresponding meteorological parameters of the guy wire tower under test are periodically acquired, and the average guy wire structure parameters and average meteorological parameters in each period are used as the sensing detection parameters for the corresponding period.

[0101] In some embodiments, the frequency determination module 320 is specifically configured as follows:

[0102] The first tension data is obtained by sensing and detecting parameters, and the second tension data is estimated by a structural mechanics model.

[0103] The Kalman filter algorithm is used to fuse the first tension data and the second tension data to determine the stress time history of the tension wire structure within a preset time range, and to obtain the cross-sectional area of ​​the tension wire structure at different times within the preset time range.

[0104] Based on the stress time history and the cross-sectional area at the corresponding moment, the tension time history of the guy wire structure within a preset time range is determined.

[0105] In some embodiments, the frequency determination module 320 is specifically configured as follows:

[0106] Acquire multiple sets of historical sample data; the historical sample data includes the sample wire length, sample mass, sample tension parameters, and sample natural frequency of the wire structure;

[0107] A tension frequency initiation model is constructed based on historical sample data to determine the second mapping relationship between tension parameters and natural frequency.

[0108] The natural frequencies of the wire structure at different times within a preset time range are determined based on the tension time history and the second mapping relationship.

[0109] In some embodiments, the lifetime prediction module 330 is specifically configured as follows:

[0110] The first mapping relationship between the natural frequency and the starting wind speed of the guy wire structure is determined based on the principle of vortex-induced resonance; the first mapping relationship is positively correlated.

[0111] In some embodiments, the lifetime prediction module 330 is specifically configured as follows:

[0112] The preset time range is divided into multiple sub-intervals according to a preset step size. The total number of vibrations and the number of valid sub-intervals are obtained for each sub-interval. The valid sub-intervals are the sub-intervals in which vibrations occur. The duration of the sub-intervals is the same as the parameter acquisition period.

[0113] The cumulative damage to the wire structure per unit time is determined based on the total number of vibrations and the number of effective sub-intervals.

[0114] Lifetime prediction results are determined based on cumulative damage to the wire structure per unit time.

[0115] In some embodiments, the lifetime prediction module 330 is specifically configured as follows:

[0116] The natural frequencies of the effective sub-intervals are averaged and equivalently processed to obtain the equivalent frequencies;

[0117] The equivalent stress amplitude is determined based on the equivalent frequency, and the cumulative damage of the wire structure per unit time is determined by combining the Miner's rule.

[0118] It should be noted that the fatigue life prediction system for vortex-induced vibration of guy tower cables provided in this application embodiment and the fatigue life prediction method for vortex-induced vibration of guy tower cables provided in this application embodiment are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned fatigue life prediction method for vortex-induced vibration of guy tower cables, and the repeated parts will not be described again.

[0119] In some embodiments, please refer to Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device 400 provided in this embodiment includes a processor 410 and a memory 420; the memory 420 stores a computer program, wherein the computer program, when executed by the processor, implements the aforementioned method for predicting the fatigue life of vortex-induced vibration of guy wire tower cables.

[0120] Specifically, processor 410 may include, for example, a general-purpose microprocessor, an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. Processor 410 may also include onboard memory for caching purposes. Processor 410 may be a single processing unit or multiple processing units for performing different actions of the method flow according to embodiments of this application.

[0121] Memory 420 may be any medium capable of containing, storing, transmitting, propagating, or transmitting instructions. For example, memory 420 may include, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, instruments, or propagation media. Specific examples of memory 420 include: magnetic storage devices such as magnetic tape or hard disk drives (HDDs); optical storage devices such as optical discs (CD-ROMs); and may also be random access memory (RAM) or flash memory; and / or wired / wireless communication links.

[0122] This application also provides a computer-readable medium storing a computer program that, when executed by a processor, implements the aforementioned method for predicting the fatigue life of guy wire tower cables due to vortex-induced vibration. This computer-readable medium may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into that device / apparatus / system. The aforementioned computer-readable medium carries one or more programs, which, when executed, implement the method according to the embodiments of this application.

[0123] According to embodiments of this application, a computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wired, optical fiber, radio frequency signals, etc., or any suitable combination thereof.

[0124] Those skilled in the art will understand that the features described in the various embodiments and / or claims of this application can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in this application. In particular, the features described in the various embodiments and / or claims of this application can be combined and / or combined in various ways without departing from the spirit and teachings of this application. All such combinations and / or combinations fall within the scope of this application. Therefore, the scope of this application should not be limited to the above embodiments, but should be defined not only by the appended claims, but also by their equivalents. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the protection scope of this invention.

Claims

1. A method for predicting the fatigue life of vortex-induced vibration of guyed tower cables, characterized in that, include: Obtain the sensing and detection parameters corresponding to the guyed tower under test; the sensing and detection parameters include sag, maximum sag stress, specific load, span, elevation difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters obtained by multiple sensors; The tension data obtained through the sensor detection parameters is fused with the tension data estimated by the structural mechanics model using the Kalman filter algorithm to determine the tension time history of the guy wire structure within a preset time range. The natural frequency of the guy wire structure at different times within the preset time range is determined by combining the length and mass of the guy wire structure. The target starting wind speed range is determined by using the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure. The life prediction result of the guyed structure is determined by combining the wind speed distribution and the number of fatigue cycles within the preset time range.

2. The method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in claim 1, characterized in that, The acquisition of the sensor detection parameters corresponding to the guyed tower under test includes: The guy wire structure parameters and corresponding meteorological parameters of the guy wire tower under test are periodically acquired, and the average guy wire structure parameters and average meteorological parameters in each period are used as the sensing and detection parameters for the corresponding period.

3. The method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in claim 1, characterized in that, The Kalman filter algorithm is used to fuse the tension data obtained through the sensing parameters with the tension data estimated by the structural mechanics model to determine the tension time history of the guy wire structure within a preset time range. Combined with the length and mass of the guy wire structure, the natural frequencies of the guy wire structure at different times within the preset time range are determined, including: The first tension data is obtained through the sensor detection parameters, and the second tension data is estimated through the structural mechanics model. The first tension data and the second tension data are fused using a Kalman filter algorithm to determine the stress time history of the tension wire structure within a preset time range, and to obtain the cross-sectional area of ​​the tension wire structure at different times within the preset time range. Based on the stress time history and the cross-sectional area at the corresponding moment, the tension time history of the drawwire structure within a preset time range is determined.

4. The method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in claim 1, characterized in that, The Kalman filter algorithm is used to fuse the tension data obtained through the sensing parameters with the tension data estimated by the structural mechanics model to determine the tension time history of the guy wire structure within a preset time range. Combined with the length and mass of the guy wire structure, the natural frequencies of the guy wire structure at different times within the preset time range are determined, including: Acquire multiple sets of historical sample data; the historical sample data includes the sample wire length, sample mass, sample tension parameters, and sample natural frequency of the wire structure; Based on the historical sample data, a tension frequency initiation model is constructed to determine the second mapping relationship between tension parameters and natural frequency. The natural frequencies of the drawwire structure at different times within the preset time range are determined based on the tension time history and the second mapping relationship.

5. The method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in claim 1, characterized in that, The process of determining the target starting wind speed range by utilizing the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and combining the wind speed distribution and the number of fatigue cycles within the preset time range to determine the life prediction result of the guyed structure includes: The first mapping relationship between the natural frequency and the starting wind speed of the guy wire structure is determined based on the principle of vortex-induced resonance; the first mapping relationship is positively correlated.

6. The method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in claim 2, characterized in that, The method of determining the target starting wind speed range by utilizing the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and determining the life prediction result of the guyed structure by combining the wind speed distribution and the number of fatigue cycles within the preset time range, further includes: The preset time range is divided into multiple sub-intervals according to a preset step size, and the total number of vibrations and the number of valid sub-intervals corresponding to each sub-interval are obtained; the valid sub-intervals are the sub-intervals in which vibration occurs; the duration of the sub-intervals is the same as the parameter acquisition period. The cumulative damage to the wire structure per unit time is determined based on the total number of vibrations and the number of effective sub-intervals. The lifetime prediction result is determined based on the cumulative damage of the wire structure per unit time.

7. The method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in claim 6, characterized in that, The determination of the cumulative damage of the guy wire structure per unit time based on the total number of vibrations and the number of effective sub-intervals includes: The natural frequencies of the effective sub-intervals are averaged and equivalently processed to obtain the equivalent frequencies; The equivalent stress amplitude is determined based on the equivalent frequency, and the cumulative damage of the wire structure per unit time is determined by combining the Miner's rule.

8. A fatigue life prediction system for vortex-induced vibration of guyed tower cables, characterized in that, include: The module includes a parameter acquisition module, a frequency determination module, and a lifetime prediction module; among them, The parameter acquisition module is configured to acquire the sensing and detection parameters corresponding to the guyed tower under test; the sensing and detection parameters include sag, maximum sag stress, specific load, span, elevation difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters obtained by multiple sensors; The frequency determination module is configured to use a Kalman filter algorithm to fuse the tension data obtained through the sensing detection parameters with the tension data estimated through the structural mechanics model, determine the tension time history of the guy wire structure within a preset time range, and determine the natural frequency of the guy wire structure at different times within the preset time range by combining the length and mass of the guy wire structure. The life prediction module is configured to determine the target starting wind speed range by using the first mapping relationship between the natural frequency and the starting wind speed of the guyed structure, and to determine the life prediction result of the guyed structure by combining the wind speed distribution and the number of fatigue cycles within the preset time range.

9. An electronic device comprising a processor and a memory; said memory having a storage for a computer program, wherein, When the computer program is executed by the processor, it implements the method for predicting the fatigue life of vortex-induced vibration of guy wire tower cables as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, It stores a computer program, wherein when the computer program is executed by a processor, it implements the method for predicting the fatigue life of vortex-induced vibration of guyed tower cables as described in any one of claims 1 to 7.

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