Wire aeolian vibration monitoring method and system
By dividing the conductor into multiple monitoring zones and using the Kriging function for energy density assessment and threshold setting, the limitations of traditional conductor aerodynamic vibration monitoring methods are overcome, achieving full-line coverage monitoring of the conductor and improving safety.
Patent Information
- Application Number
- CN202511825888.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-05
- Publication Date
- 2026-01-13
AI Technical Summary
Traditional methods for monitoring conductor vibration in light winds alter the aerodynamic characteristics of the conductor by installing vibration sensors on it, affecting the accurate reflection of the vibration state. Furthermore, these methods are difficult to implement for full-line monitoring of long-span conductors, thus reducing the safety of conductor operation.
The conductor is divided into multiple monitoring areas. By acquiring the vibration velocity at each monitoring point, energy density is assessed. The Kriging function is used to assess the energy density over the entire area. An energy density threshold is set, and a risk assessment is conducted to achieve full-line coverage monitoring of the conductor.
It achieves full-line coverage monitoring of long-span conductors, improves the safety of conductor operation, avoids the limitations of traditional methods, and ensures the accuracy and comprehensiveness of monitoring.
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Figure CN121323780A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of conductor monitoring, in particular to a conductor aeolian vibration monitoring method and system. BACKGROUND
[0002] In a power transmission system, the safe and stable operation of long-span conductors is directly related to the reliability of power supply. As a common problem that conductors face for a long time, aeolian vibration has a low vibration frequency, but long-term continuous action can easily lead to conductor fatigue damage, especially at key parts such as line clamps, and in severe cases, may cause conductor breakage and other safety accidents, threatening the normal operation of the power system. Therefore, how to accurately monitor the aeolian vibration of the conductor is crucial.
[0003] Currently, the traditional conductor aeolian vibration monitoring method mainly monitors the aeolian vibration of the conductor by installing vibration sensors on the guide, but the installation of vibration sensors will change the original aerodynamic characteristics of the conductor, affect the true reflection of the vibration state, and it is difficult to achieve full-line coverage monitoring of long-span conductors, reducing the safety of conductor operation. SUMMARY
[0004] The present application provides a conductor aeolian vibration monitoring method and system, which solves the technical problem that the traditional conductor aeolian vibration monitoring method mainly monitors the aeolian vibration of the conductor by installing vibration sensors on the guide, but the installation of vibration sensors will change the original aerodynamic characteristics of the conductor, affect the true reflection of the vibration state, and it is difficult to achieve full-line coverage monitoring of long-span conductors, reducing the safety of conductor operation.
[0005] The present application provides a conductor aeolian vibration monitoring method and system, which solves the technical problem that the traditional conductor aeolian vibration monitoring method mainly monitors the aeolian vibration of the conductor by installing vibration sensors on the guide, but the installation of vibration sensors will change the original aerodynamic characteristics of the conductor, affect the true reflection of the vibration state, and it is difficult to achieve full-line coverage monitoring of long-span conductors, reducing the safety of conductor operation.
[0006] Obtain the vibration speed corresponding to each monitoring point in each monitoring area, respectively evaluate the energy density of the vibration speed corresponding to each monitoring point to obtain a plurality of energy density values;
[0007] Based on the preset Kriging function, respectively evaluate the full-energy density of the energy density values corresponding to each monitoring area to obtain a plurality of full-energy density values;
[0008] Respectively set thresholds for the energy density values corresponding to each monitoring area to obtain a plurality of energy density thresholds;
[0009] According to the full-energy density values and energy density thresholds corresponding to each monitoring area, perform risk assessment to obtain the corresponding monitoring results.
[0010] Optionally, the step of respectively evaluating the energy density of the vibration speed corresponding to each monitoring point to obtain a plurality of energy density values comprises:
[0011] respectively, to obtain a plurality of root mean square vibration speeds;
[0012] respectively, to obtain a plurality of energy density values.
[0013] Optionally, the step of performing full-field energy density evaluation on the energy density values corresponding to each of the monitoring regions based on the preset Kriging function to obtain a plurality of full-field energy density values comprises:
[0014] respectively, to obtain a plurality of target Kriging functions;
[0015] solving each of the target Kriging functions based on a preset unbiased estimation condition to obtain an interpolation weight corresponding to each of the monitoring regions;
[0016] respectively, to obtain a plurality of full-field energy density values.
[0017] Optionally, the step of setting a threshold value for the energy density values corresponding to each of the monitoring regions to obtain a plurality of energy density threshold values comprises:
[0018] respectively, to obtain a plurality of average energy densities;
[0019] respectively, to obtain a plurality of energy density threshold values.
[0020] Optionally, the step of performing risk evaluation according to the full-field energy density values corresponding to each of the monitoring regions and the energy density threshold values to obtain a corresponding monitoring result comprises:
[0021] determining whether the full-field energy density value corresponding to each of the monitoring regions is greater than or equal to the corresponding energy density threshold value;
[0022] when the full-field energy density value corresponding to the monitoring region is greater than or equal to the corresponding energy density threshold value, the monitoring region is determined as a target monitoring region;
[0023] determining whether each of the target monitoring regions satisfies a preset warning condition;
[0024] when each of the target monitoring regions satisfies the warning condition, the monitoring result is determined as an operation anomaly;
[0025] When the monitoring areas of each target do not meet the warning conditions, the monitoring results will be determined as normal operation.
[0026] When all the global energy density values are less than the corresponding energy density threshold, the monitoring results are determined to be in normal operation.
[0027] Optionally, the kriging function is specifically:
[0028] ;
[0029] ;
[0030] in, For the variance of the gold nugget, For sill values, for and The semivariogram value of the distance between them, where 'a' is the range, 'i' is the first index of the monitoring point, and 'j' is the second index of the monitoring point. The interpolation weight for the j-th monitoring point is... It is a Lagrange multiplier. The point to be interpolated. For the i-th monitoring point, Let j be the j-th monitoring point.
[0031] A second aspect of the present invention provides a conductor wind vibration monitoring system, comprising:
[0032] The acquisition module is used to acquire the vibration velocity corresponding to each monitoring point in each monitoring area, and to evaluate the energy density of the vibration velocity corresponding to each monitoring point to obtain multiple energy density values.
[0033] The energy density assessment module is used to perform global energy density assessment on the energy density values corresponding to each monitoring area based on a preset kriging function, and obtain multiple global energy density values.
[0034] The tuning module is used to tune the energy density values corresponding to each monitoring area to obtain multiple energy density thresholds.
[0035] The risk assessment module is used to conduct risk assessments based on the global energy density value and energy density threshold corresponding to each monitoring area, and obtain the corresponding monitoring results.
[0036] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the wire wind vibration monitoring method described above.
[0037] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed to implement the conductor aeolian vibration monitoring method.
[0038] The fifth aspect of the present application provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the conductor aeolian vibration monitoring method.
[0039] From the above technical solutions, the present application has the following advantages:
[0040] The present application obtains the vibration speed corresponding to each monitoring point in each monitoring area, respectively evaluates the energy density of the vibration speed corresponding to each monitoring point to obtain a plurality of energy density values, respectively evaluates the full-area energy density of the energy density value corresponding to each monitoring area based on the preset Kriging function to obtain a plurality of full-area energy density values, respectively sets the threshold value of the energy density value corresponding to each monitoring area to obtain a plurality of energy density threshold values, and respectively evaluates the risk according to the full-area energy density value and the energy density threshold value corresponding to each monitoring area to obtain the corresponding monitoring result. The technical problem that the traditional conductor aeolian vibration monitoring method is difficult to realize long-span conductor full-line coverage monitoring and reduces the safety of conductor operation is overcome. Compared with the traditional conductor aeolian vibration monitoring method, the present application divides the conductor into a plurality of monitoring areas, respectively evaluates the full-area energy density of the energy density value corresponding to each monitoring area based on the preset Kriging function to obtain a plurality of full-area energy density values, avoids the limitation of discrete monitoring, respectively evaluates the risk according to the full-area energy density value and the energy density threshold value corresponding to each monitoring area to obtain the corresponding monitoring result, realizes the full-line coverage monitoring of the conductor, and improves the safety of conductor operation. BRIEF DESCRIPTION OF DRAWINGS
[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0042] Figure 1 A step flow chart of a conductor aeolian vibration monitoring method provided for the first embodiment of the present application is shown in the figure.
[0043] Figure 2A step flow chart of a conductor wind vibration monitoring method provided for the second embodiment of the present application is provided.
[0044] Figure 3 A structural block diagram of a conductor wind vibration monitoring system provided for the third embodiment of the present application is provided.
[0045] Figure 4 A structural block diagram of an electronic device provided for the fourth embodiment of the present application is provided. DETAILED DESCRIPTION
[0046] The embodiments of the present application provide a conductor wind vibration monitoring method and system, which are used to solve the technical problem that the traditional conductor wind vibration monitoring method mainly monitors the conductor wind vibration by installing a vibration sensor on the guide, but the installation of the vibration sensor changes the original aerodynamic characteristics of the conductor, affects the real reflection of the vibration state, and is difficult to realize the full-line coverage monitoring of the long-span conductor, thereby reducing the safety of the conductor operation.
[0047] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application. It should be noted that in optional embodiments of the present application, the object information and other related data involved need to be authorized or agreed by the object when the embodiments of the present application are applied to specific products or technologies, and the collection, use and processing of the related data need to comply with the relevant laws, regulations and standards of the country and region. That is to say, the data related to the object in the embodiments of the present application need to be obtained under the condition of authorization and agreement of the object, authorization and agreement of the relevant department, and compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the consent of the individual needs to be obtained for the acquisition of all personal information, and the separate consent of the information subject needs to be obtained for the sensitive information, and the embodiments also need to be implemented under the condition of authorization and agreement of the object.
[0048] Please refer to Figure 1 , Figure 1 A step flow chart of a conductor wind vibration monitoring method provided for the first embodiment of the present application is provided.
[0049] The conductor wind vibration monitoring method provided by the present application comprises:
[0050] In step 101, the vibration speeds corresponding to each monitoring point in each monitoring area are obtained, and the energy density of the vibration speed corresponding to each monitoring point is evaluated to obtain a plurality of energy density values.
[0051] The energy density value refers to a vibration energy reserve in a unit length of the conductor.
[0052] In the embodiment of the present application, based on the preset acquisition time, the scanning laser probe deployed on the conductor obtains the vibration speed of each monitoring point in each monitoring area of the conductor, respectively inputs the vibration speed of each monitoring point into the preset energy density function, and obtains a plurality of energy density values. The acquisition time is greater than or equal to 60s.
[0053] It should be noted that the energy density function is specifically:
[0054]
[0055]
[0056] Wherein, is the time point of the kth sampling, is the vibration speed of the ith monitoring point at the time point, m is the total number of time points, k is the index of the sampling time point, is the root mean square vibration speed, is the energy density of the ith monitoring point, is the density of the conductor material, is the cross-sectional area of the conductor.
[0057] It should be noted that the scanning laser probe is a non-contact measurement device, which can scan the target object along the set path, obtain the vibration speed and other parameters of the target surface by emitting laser (laser emission frequency is greater than or equal to 100Hz) and receiving reflected signal, and is suitable for global coverage monitoring of long-span conductors. The scanning laser probe is deployed at a suitable position (such as the top of the tower, the observation point on both sides of the span) of the conductor monitoring area, wherein the scanning step length of the scanning laser probe in the conductor axial direction is 0.5-2m.
[0058] Step 102, based on the preset Kriging function, respectively evaluate the energy density values corresponding to each monitoring area to obtain a plurality of full-energy density values.
[0059] The full-energy density value refers to that the energy density values of the discrete monitoring points are extended to the entire monitoring area by an interpolation algorithm to obtain a continuous full-energy density distribution.
[0060] In the embodiment of the present application, distances between each monitoring point in each monitoring area are respectively input into the preset Kriging function to obtain a plurality of target Kriging functions. Each target Kriging function is respectively solved based on a preset unbiased estimation condition to obtain an interpolation weight corresponding to each monitoring area. The interpolation weight corresponding to each monitoring area and the energy density value are respectively input into a preset full-field energy density function to obtain a plurality of full-field energy density values.
[0061] In step 103, the energy density value corresponding to each monitoring area is respectively thresholded to obtain a plurality of energy density thresholds.
[0062] The energy density threshold refers to an energy density critical value set for each monitoring area. When the energy density at a position in the monitoring area is greater than the value, it indicates that the conductor vibration risk at the position exceeds the safe range.
[0063] In the embodiment of the present application, the energy density value corresponding to each monitoring area is input into a preset energy density threshold function to obtain a plurality of energy density thresholds.
[0064] It should be noted that the energy density threshold function is specifically:
[0065]
[0066] wherein, is the energy density threshold, is the total number of monitoring points in the monitoring area, is the energy density of the i th monitoring point, and i is the index of the monitoring point.
[0067] In step 104, risk assessment is performed according to the full-field energy density value and the energy density threshold corresponding to each monitoring area to obtain a corresponding monitoring result.
[0068] In the embodiment of the present application, when the full-field energy density value corresponding to the monitoring area is greater than or equal to the corresponding energy density threshold, the monitoring area is determined as a target monitoring area. When there is a continuous target monitoring area on the conductor, the monitoring result is determined as an abnormal operation, and the continuous target monitoring area is determined as a high-risk vibration area. When there is no continuous target monitoring area on the conductor, the monitoring result is determined as a normal operation.
[0069] In the embodiment of the present application, the vibration speeds corresponding to the monitoring points in each monitoring area are obtained, the vibration speeds corresponding to the monitoring points are respectively evaluated in energy density to obtain a plurality of energy density values, the energy density values corresponding to each monitoring area are respectively evaluated in full energy density based on a preset Kriging function to obtain a plurality of full energy density values, the energy density values corresponding to each monitoring area are respectively set with a threshold to obtain a plurality of energy density thresholds, and the risk is evaluated according to the full energy density values and the energy density thresholds corresponding to each monitoring area to obtain a corresponding monitoring result. The technical problem that the traditional conductor wind vibration monitoring method is difficult to realize long-span conductor full-line coverage monitoring and reduces the safety of conductor operation is overcome. Compared with the traditional conductor wind vibration monitoring method, the conductor is divided into a plurality of monitoring areas in the present application, the energy density values corresponding to each monitoring area are respectively evaluated in full energy density based on a preset Kriging function to obtain a plurality of full energy density values, the limitation of discrete monitoring is avoided, the risk is evaluated according to the full energy density values and the energy density thresholds corresponding to each monitoring area to obtain a corresponding monitoring result, the conductor full-line coverage monitoring is realized, and the safety of conductor operation is improved.
[0070] Please refer to Figure 2 , Figure 2 The step flow chart of a conductor wind vibration monitoring method provided in the second embodiment of the present application is shown in the figure.
[0071] The conductor wind vibration monitoring method provided in the present application comprises the following steps.
[0072] Step 201: Obtain the vibration speeds corresponding to the monitoring points in each monitoring area, and evaluate the vibration speeds corresponding to the monitoring points in energy density respectively to obtain a plurality of energy density values.
[0073] Further, step 201 comprises the following sub-steps.
[0074] S11: Respectively perform root mean square processing on the vibration speeds corresponding to the monitoring points to obtain a plurality of root mean square vibration speeds.
[0075] In the embodiment of the present application, the root mean square between the vibration speeds corresponding to each monitoring point is calculated respectively to obtain a plurality of root mean square vibration speeds.
[0076] It should be noted that the vibration speed corresponding to each monitoring point refers to the vibration speed time sequence of the monitoring point within the collection time length, wherein the vibration speed time sequence comprises the vibration speeds at a plurality of sampling time points.
[0077] S12: Respectively perform multiplication processing on the square values of each root mean square vibration speed, the preset conductor material density and the preset conductor cross-sectional area to obtain a plurality of energy density values.
[0078] In the embodiment of the present application, the square values of the root mean square vibration velocities of the respective monitoring areas, the preset conductor material density and the preset conductor cross-sectional area are multiplied to obtain a plurality of energy density values.
[0079] In step 202, the distances between the monitoring points in the respective monitoring areas are input into the preset Kriging function to obtain a plurality of target Kriging functions.
[0080] In the embodiment of the present application, the distances between the monitoring points in the respective monitoring areas are input into the preset Kriging function to obtain a plurality of target Kriging functions.
[0081] It should be noted that the Kriging function is specifically as follows:
[0082] ;
[0083] ;
[0084] wherein, is the Kriging variance, is the base value, is the distance between the monitoring points, is the semi-variogram value, a is the range, i is the first index of the monitoring point, j is the second index of the monitoring point, is the interpolation weight of the jth monitoring point, is the Lagrange multiplier, is the point to be interpolated, is the ith monitoring point, is the jth monitoring point.
[0085] In step 203, the respective target Kriging functions are solved based on the preset unbiased estimation condition to obtain the interpolation weights corresponding to the respective monitoring areas.
[0086] In the embodiment of the present application, the respective target Kriging functions are solved based on the preset unbiased estimation condition to obtain the interpolation weights corresponding to the respective monitoring areas.
[0087] It should be noted that the unbiased estimation condition is specifically as follows:
[0088]
[0089] In step 204, the interpolation weights and the energy density values corresponding to the respective monitoring areas are input into the preset full-field energy density function to obtain a plurality of full-field energy density values.
[0090] In the embodiment of the present application,
[0091] Step 205, respectively, the energy density value corresponding to each monitoring area threshold setting, get multiple energy density threshold.
[0092] Further, step 205 includes the following sub-steps:
[0093] S21, respectively, the energy density value corresponding to each monitoring area mean processing, get multiple average energy density.
[0094] In the embodiment of the application, the mean value between the energy density value corresponding to each monitoring area is calculated, and multiple average energy densities are obtained.
[0095] S22, respectively, each average energy density and the preset safety factor multiplication processing, multiple energy density threshold.
[0096] Safety factor, refers to the conductor safety operation standard, conductor fatigue life experimental data and engineering practice experience pre-set coefficient, used in the average energy density on the basis of expanding the safety threshold range, avoid false judgment (value is 1.2) caused by accidental vibration fluctuation.
[0097] In the embodiment of the application, the multiplication between each average energy density and the preset safety factor is calculated, and multiple energy density thresholds are obtained.
[0098] Step 206, according to the full energy density value corresponding to each monitoring area and energy density threshold risk assessment, get the corresponding monitoring result.
[0099] Further, step 206 includes the following sub-steps:
[0100] S31, judge whether the full energy density value corresponding to each monitoring area is greater than or equal to the corresponding energy density threshold.
[0101] S32, when the full energy density value corresponding to the monitoring area is greater than or equal to the corresponding energy density threshold, the monitoring area is determined as the target monitoring area.
[0102] In the embodiment of the application, it is judged whether the full energy density value corresponding to each monitoring area is greater than or equal to the corresponding energy density threshold. When the full energy density value corresponding to the monitoring area is greater than or equal to the corresponding energy density threshold, it is indicated that the vibration energy in the monitoring area is too high, and the monitoring area is determined as the target monitoring area.
[0103] S33, judge whether each target monitoring area meets the preset warning condition.
[0104] Warning condition, refers to whether there is a continuous target monitoring area.
[0105] In the embodiment of the present application, it is judged whether there is a continuous target monitoring area on the conductor.
[0106] In S34, when each target monitoring area meets the early warning condition, the monitoring result is determined as abnormal operation.
[0107] In the embodiment of the present application, when there is a continuous target monitoring area (i.e. there are two adjacent target monitoring areas) on the conductor, the monitoring result is determined as abnormal operation, and the continuous target monitoring area is determined as a high-risk vibration area.
[0108] In S35, when each target monitoring area does not meet the early warning condition, the monitoring result is determined as normal operation.
[0109] In the embodiment of the present application, when there are no two adjacent target monitoring areas, the monitoring result is determined as normal operation.
[0110] In S36, when each total field energy density value is less than the corresponding energy density threshold value, the monitoring result is determined as normal operation.
[0111] In the embodiment of the present application, when each total field energy density value is less than the corresponding energy density threshold value, it indicates that the vibration energy in each monitoring area does not exceed the safety range, and the monitoring result is determined as normal operation.
[0112] In the embodiment of the present application, the vibration speed corresponding to each monitoring point in each monitoring area is obtained, the vibration speed corresponding to each monitoring point is respectively subjected to energy density evaluation to obtain a plurality of energy density values, the energy density values corresponding to each monitoring area are respectively subjected to total field energy density evaluation based on a preset Kriging function to obtain a plurality of total field energy density values, the energy density values corresponding to each monitoring area are respectively subjected to threshold setting to obtain a plurality of energy density threshold values, and the total field energy density values corresponding to each monitoring area and the energy density threshold values are subjected to risk evaluation to obtain corresponding monitoring results. The technical problem that the traditional conductor aeolian vibration monitoring method is difficult to realize full-line coverage monitoring of long-span conductors and reduces the safety of conductor operation is overcome. Compared with the traditional conductor aeolian vibration monitoring method, the conductor is divided into a plurality of monitoring areas in the present application, the energy density values corresponding to each monitoring area are respectively subjected to total field energy density evaluation based on a preset Kriging function to obtain a plurality of total field energy density values, the limitation of discrete monitoring is avoided, the total field energy density values corresponding to each monitoring area and the energy density threshold values are subjected to risk evaluation to obtain corresponding monitoring results, full-line coverage monitoring of the conductor is realized, and the safety of conductor operation is improved.
[0113] Please refer to Figure 3 , Figure 3 Fig. 3 is a structural block diagram of a conductor aeolian vibration monitoring system provided in Embodiment Three of the present application.
[0114] The application provides a wire micro-wind vibration monitoring system, comprising:
[0115] The acquisition module 301 is configured to acquire vibration speeds corresponding to each monitoring point in each monitoring area, and perform energy density evaluation on the vibration speeds corresponding to each monitoring point respectively to obtain a plurality of energy density values.
[0116] The energy density evaluation module 302 is configured to perform full-field energy density evaluation on the energy density values corresponding to each monitoring area respectively based on a preset Kriging function to obtain a plurality of full-field energy density values.
[0117] The setting module 303 is configured to perform threshold setting on the energy density values corresponding to each monitoring area respectively to obtain a plurality of energy density thresholds.
[0118] The risk evaluation module 304 is configured to perform risk evaluation on the full-field energy density values and the energy density thresholds corresponding to each monitoring area to obtain corresponding monitoring results.
[0119] Further, the acquisition module 301 comprises:
[0120] The root mean square submodule is configured to perform root mean square processing on the vibration speeds corresponding to each monitoring point respectively to obtain a plurality of root mean square vibration speeds.
[0121] The energy density submodule is configured to perform multiplication processing on the square values of each root mean square vibration speed, a preset conductor material density and a preset conductor cross-sectional area to obtain a plurality of energy density values.
[0122] Further, the energy density evaluation module 302 comprises:
[0123] The input submodule is configured to input distances between each monitoring point in each monitoring area into a preset Kriging function respectively to obtain a plurality of target Kriging functions.
[0124] The solving submodule is configured to solve each target Kriging function based on a preset unbiased estimation condition to obtain interpolation weights corresponding to each monitoring area.
[0125] The full-field energy density submodule is configured to input the interpolation weights and the energy density values corresponding to each monitoring area into a preset full-field energy density function respectively to obtain a plurality of full-field energy density values.
[0126] Further, the setting module 303 comprises:
[0127] The mean submodule is configured to perform mean processing on the energy density values corresponding to each monitoring area respectively to obtain a plurality of average energy densities.
[0128] a threshold sub-module, configured to multiply each average energy density by a preset safety factor respectively, and obtain a plurality of energy density thresholds.
[0129] Further, the risk assessment module 304 comprises:
[0130] a first analysis sub-module, configured to determine whether the full-field energy density value corresponding to each monitoring area is greater than or equal to the corresponding energy density threshold;
[0131] When the full-field energy density value corresponding to the monitoring area is greater than or equal to the corresponding energy density threshold, the monitoring area is determined as a target monitoring area;
[0132] a second analysis sub-module, configured to determine whether each target monitoring area satisfies a preset warning condition;
[0133] When each target monitoring area satisfies the warning condition, the monitoring result is determined as an abnormal operation;
[0134] When each target monitoring area does not satisfy the warning condition, the monitoring result is determined as a normal operation;
[0135] When each full-field energy density value is less than the corresponding energy density threshold, the monitoring result is determined as a normal operation.
[0136] Further, the Kriging function is specifically:
[0137] ;
[0138] ;
[0139] wherein, is a nugget value, is a sill value, is a distance between the first index i and the second index j, is a semi-variogram value of the distance between the first index i and the second index j, a is a range, i is a first index of a monitoring point, j is a second index of a monitoring point, is an interpolation weight of the jth monitoring point, is a Lagrange multiplier, is a point to be interpolated, is the ith monitoring point, is the jth monitoring point.
[0140] Please refer to Figure 4 , Figure 4 is a structural block diagram of an electronic device provided in Embodiment Four of the present application.
[0141] An electronic device according to an embodiment of the present application comprises a memory 401 and a processor 402, the memory 401 storing a computer program, and the computer program, when executed by the processor 402, causing the processor 402 to perform the wire wind vibration monitoring method according to any one of the above described embodiments.
[0142] The memory 401 can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk, or a ROM. The memory 401 has a storage space 403 for program codes 413 for performing any of the method steps described above. For example, the storage space 403 for program codes can include individual program codes 413 for implementing the various steps in the above described methods, respectively. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes can be compressed in a suitable manner, for example. These codes, when run by a computing processing device, cause the computing processing device to perform the various steps in the above described methods. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes can be compressed in a suitable manner, for example. These codes, when run by a computing processing device, cause the computing processing device to perform the various steps in the above described wire wind vibration monitoring method.
[0143] The fifth embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the wire wind vibration monitoring method according to any one of the above described embodiments.
[0144] The sixth embodiment of the present application also provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, wherein, when the program instructions are executed by a computer, the computer performs the wire wind vibration monitoring method according to any one of the above described embodiments.
[0145] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above described system, device and unit can refer to the corresponding processes in the above described method embodiments, which will not be described herein.
[0146] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the division of the units is only a logical function division, and there can be another division manner for the actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or in other forms.
[0147] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.
[0148] In addition, each functional unit in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware, or in the form of a software functional unit.
[0149] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such an understanding, the technical solutions of the present application essentially, or the part that contributes to the prior art, or all or a part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in the various embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and various media that can store program codes.
[0150] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for monitoring conductor vibration in a light breeze, characterized in that, The conductor is divided into multiple monitoring areas, including: The vibration velocity corresponding to each monitoring point in each monitoring area is obtained, and the energy density of the vibration velocity corresponding to each monitoring point is evaluated to obtain multiple energy density values. Based on a preset kriging function, the energy density values corresponding to each monitoring area are evaluated globally to obtain multiple global energy density values. Each energy density value corresponding to the monitoring area is thresholded to obtain multiple energy density thresholds. Risk assessment is conducted based on the global energy density value and energy density threshold corresponding to each monitoring area to obtain the corresponding monitoring results.
2. The method for monitoring conductor vibration in a breeze according to claim 1, characterized in that, The step of evaluating the energy density of the vibration velocity corresponding to each of the monitoring points to obtain multiple energy density values includes: The vibration velocities corresponding to each monitoring point are processed by root mean square (RMS) to obtain multiple RMS vibration velocities. The square of each root mean square vibration velocity, the preset conductor material density, and the preset conductor cross-sectional area are multiplied to obtain multiple energy density values.
3. The method for monitoring conductor vibration by a breeze according to claim 1, characterized in that, The step of performing a global energy density assessment on the energy density values corresponding to each monitoring area based on a preset kriging function to obtain multiple global energy density values includes: The distances between each monitoring point in each of the monitoring areas are input into a preset kriging function to obtain multiple target kriging functions; Based on the preset unbiased estimation conditions, the kriging function of each target is solved to obtain the interpolation weights corresponding to each monitoring area. The interpolation weights and energy density values corresponding to each monitoring area are input into a preset global energy density function to obtain multiple global energy density values.
4. The method for monitoring conductor vibration by a breeze according to claim 1, characterized in that, The step of setting thresholds for the energy density values corresponding to each of the monitoring areas to obtain multiple energy density thresholds includes: The energy density values corresponding to each monitoring area are averaged to obtain multiple average energy densities. Each of the aforementioned average energy densities is multiplied by a preset safety factor to obtain multiple energy density thresholds.
5. The method for monitoring conductor vibration by a breeze according to claim 1, characterized in that, The step of conducting risk assessment based on the global energy density value and energy density threshold corresponding to each monitoring area to obtain the corresponding monitoring results includes: Determine whether the global energy density value corresponding to each monitoring area is greater than or equal to the corresponding energy density threshold. When the global energy density value corresponding to the monitoring area is greater than or equal to the corresponding energy density threshold, the monitoring area is determined as the target monitoring area. Determine whether each of the target monitoring areas meets the preset early warning conditions; When each of the target monitoring areas meets the early warning conditions, the monitoring result is determined to be an operational anomaly; When the monitoring areas of each target do not meet the warning conditions, the monitoring results will be determined as normal operation. When all the global energy density values are less than the corresponding energy density threshold, the monitoring results are determined to be in normal operation.
6. The method for monitoring conductor vibration in a breeze according to claim 1, characterized in that, The kriging function is specifically: ； ； in, For the variance of the gold nugget, For sill values, for and The semivariogram value of the distance between them, where 'a' is the range, 'i' is the first index of the monitoring point, and 'j' is the second index of the monitoring point. The interpolation weight for the j-th monitoring point is... It is a Lagrange multiplier. The point to be interpolated. For the i-th monitoring point, Let j be the j-th monitoring point.
7. A conductor vibration monitoring system, characterized in that, include: The acquisition module is used to acquire the vibration velocity corresponding to each monitoring point in each monitoring area, and to evaluate the energy density of the vibration velocity corresponding to each monitoring point to obtain multiple energy density values. The energy density assessment module is used to perform global energy density assessment on the energy density values corresponding to each monitoring area based on a preset kriging function, and obtain multiple global energy density values. The tuning module is used to tune the energy density values corresponding to each monitoring area to obtain multiple energy density thresholds. The risk assessment module is used to conduct risk assessments based on the global energy density value and energy density threshold corresponding to each monitoring area, and obtain the corresponding monitoring results.
8. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor causes the processor to perform the steps of the conductor aerobatic vibration monitoring method as described in any one of claims 1-6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the conductor aerodynamic vibration monitoring method as described in any one of claims 1-6.
10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the conductor aerobatic vibration monitoring method as described in any one of claims 1-6.