Wire vibration reduction method and device

Abstract

The invention discloses a wire vibration reduction method and device which are used for solving the technical problem that the aeolian vibration amplitude of a wire is still too large due to an existing wire vibration reduction method. The method comprises the following steps: acquiring wind speed and wind direction ultrasonic signals, and constructing a co-prime arc array steering vector of wind speed and wind direction according to the wind speed and wind direction ultrasonic signals by adopting a vector decomposition principle and a speed and distance formula; constructing a mathematical model of a co-prime arc array receiving signal based on the co-prime arc array steering vector of the wind speed and the wind direction; establishing an estimation variance of wind speed and wind direction according to a mathematical model of a co-prime arc array receiving signal; predicting the wind speed and wind direction of the conductor based on the wind speed and wind direction estimation variance, and outputting a wind speed and wind direction prediction value of the conductor; calculating a vertical conductor wind speed component by adopting the wind speed and direction predicted value of the conductor; the wind speed component perpendicular to the wire is used for adjusting the size of an opening of a passive blowing and sucking type lantern ring sleeving the wire, so that the flow direction of airflow around the wire is controlled, and vibration reduction of the wire is achieved.

Description

Technical Field

[0001] This invention relates to the field of overhead power transmission line technology, and in particular to a method and apparatus for conductor vibration reduction. Background Technology

[0002] Overhead transmission lines are an important component of the power system for transmitting electrical energy. Therefore, it is crucial to improve operation and maintenance efficiency, reduce energy loss, and ensure the safe operation of ultra-high voltage transmission lines.

[0003] During the operation of power transmission lines, the most common cause of conductor breakage is conductor fatigue due to aerodynamic vibration. In severe cases, this can lead to open circuits, short circuits, fires, and even casualties. To reduce open circuits caused by broken strands, power companies regularly maintain the conductors, but this is inefficient and time-consuming. In fact, reducing aerodynamic vibration is the most effective measure to prevent broken strands from developing into open circuits.

[0004] Most existing conductor vibration reduction methods utilize traditional damping devices, but these devices are mostly passive and have a limited frequency response range, making it difficult to cover the full-frequency range of 0.1~3Hz for aerodynamic vibrations. Furthermore, they are not efficient at dissipating energy for low-frequency vibrations (<1Hz). In addition, the device has poor coupling with the conductor and is prone to slippage failure at low wind speeds (0.5~8m / s), resulting in excessive amplitude of aerodynamic vibrations in the conductor. Summary of the Invention

[0005] This invention provides a method and apparatus for reducing conductor vibration, which solves the technical problem that existing conductor vibration reduction methods still result in excessive amplitude of conductor vibration in the light wind.

[0006] The first aspect of this invention provides a method for reducing conductor vibration, comprising:

[0007] Acquire ultrasonic signals of wind speed and direction, and construct a coprime arc array of wind speed and direction guide vectors based on the vector decomposition principle and velocity-distance formula.

[0008] Based on the coprime arc array guide vector of the wind speed and direction, a mathematical model for the coprime arc array to receive signals is constructed.

[0009] Based on the mathematical model of the received signal from the coprime arc array, the estimated variance of wind speed and direction is established.

[0010] Based on the estimated variance of the wind speed and direction, the wind speed and direction of the conductor are predicted, and the predicted values ​​of the wind speed and direction of the conductor are output.

[0011] The wind speed and direction prediction values ​​of the conductor are used to calculate the vertical conductor wind speed component; the vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar sleeved on the conductor, thereby controlling the airflow direction around the conductor and reducing the vibration of the conductor.

[0012] Optionally, the step of constructing a coprime arc-shaped array of wind speed and direction guide vectors based on the wind speed and direction ultrasonic signals using the vector decomposition principle and velocity-distance formula includes:

[0013] Using the vector decomposition theorem, multiple array element position wind speed components are output based on the wind speed and direction ultrasonic signals;

[0014] The speed-distance formula is used to determine the signal reception time at multiple array element positions based on the wind speed components at each array element position;

[0015] Calculate the time delay of multiple array element positions based on the signal reception time of each array element position;

[0016] Based on the position delays of multiple array elements, a coprime arc-shaped array guide vector for wind speed and direction is constructed.

[0017] Optionally, the step of predicting the wind speed and direction of the conductor based on the estimated variance of the wind speed and direction, and outputting the predicted wind speed and direction values ​​of the conductor, includes:

[0018] Based on the estimated variance of wind speed and direction, a Cramer-Rao bound formula for wind speed and direction is constructed.

[0019] The wind speed and direction of the conductor are predicted using the Cramer-Rao boundary formula, and the predicted wind speed and direction values ​​of the conductor are output.

[0020] Optionally, the coprime arc-shaped array guide vectors of wind speed and direction are specifically:

[0021] ;

[0022] in, The guide vector for the coprime arc array; This is an ultrasonic signal indicating wind direction; is the ultrasonic signal for wind speed, representing the wind speed amplitude; f is the frequency of the ultrasonic signal. The position delay of the first array element represents the signal propagation delay of the first array element relative to the position of the reference array element. The position delay of the second array element represents the signal propagation delay of the second array element relative to the position of the reference array element. The position delay of the seventh array element represents the signal propagation delay of the seventh array element relative to the position of the reference array element. This is a transpose.

[0023] Optionally, the mathematical model for the received signal by the coprime arc array is as follows:

[0024] ;

[0025] in, The received signal of the coprime arc array at time t; The guide vector for the coprime arc array; The transmitted signal of the coprime arc array at time t; The noise signal of the coprime arc array at time t.

[0026] Optionally, the Cramer-Rao boundary formulas for wind speed and wind direction include the Cramer-Rao boundary formula for wind speed and the Cramer-Rao boundary formula for wind direction; the Cramer-Rao boundary formula for wind speed is specifically as follows:

[0027] ;

[0028] in, Cramer-Rao bound for wind speed estimation, and denot represents the lower bound of the variance of wind speed estimation; This is an ultrasonic signal indicating wind direction; This is an ultrasonic signal for wind speed, representing the wind speed amplitude. Noise power; L is the number of snapshots; This is the wind speed estimation matrix; H represents the signal source for the i-th snapshot; H is the conjugate. To perform the real part operation;

[0029] The formula for wind direction Cramérod boundary is as follows:

[0030] ;

[0031] in, Cramer-Rao bound for wind direction estimation, and denot lower bound for the variance of wind direction estimation; This is the wind direction estimation matrix.

[0032] A second aspect of the present invention provides a conductor vibration damping device, comprising:

[0033] The acquisition module is used to acquire ultrasonic signals of wind speed and direction. Based on the ultrasonic signals of wind speed and direction, it constructs a coprime arc array guide vector of wind speed and direction using the principle of vector decomposition and the velocity-distance formula.

[0034] A construction module is used to construct a mathematical model for the received signal of the coprime arc array based on the coprime arc array guide vector of the wind speed and direction.

[0035] A module is established to establish the estimated variance of wind speed and direction based on the mathematical model of the signals received by the coprime arc array.

[0036] The output module is used to predict the wind speed and direction of the conductor based on the estimated variance of the wind speed and direction, and output the predicted wind speed and direction values ​​of the conductor.

[0037] The calculation module is used to calculate the vertical conductor wind speed component using the predicted wind speed and direction values ​​of the conductor; the vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar sleeved on the conductor, thereby controlling the airflow direction around the conductor and reducing vibration of the conductor.

[0038] A computer device provided in a third aspect of the present invention 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 performs the steps of the wire vibration reduction method as described in any of the preceding claims.

[0039] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the steps of the conductor vibration reduction method as described in any of the preceding claims.

[0040] The fifth aspect of the present invention provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein, when the program instructions are executed by a computer, the computer performs the steps of the conductor vibration reduction method as described in any of the preceding claims.

[0041] As can be seen from the above technical solutions, the present invention has the following advantages:

[0042] The present invention provides a conductor vibration reduction method, which acquires ultrasonic signals of wind speed and direction, and constructs a coprime arc array guiding vector of wind speed and direction based on the ultrasonic signals using the principle of vector decomposition and the velocity-distance formula; based on the coprime arc array guiding vector of wind speed and direction, a mathematical model of the coprime arc array receiving signal is constructed; based on the mathematical model of the coprime arc array receiving signal, an estimation variance of wind speed and direction is established; based on the estimation variance of wind speed and direction, the wind speed and direction of the conductor are predicted, and the predicted wind speed and direction values ​​of the conductor are output; the wind speed and direction prediction of the conductor is then used. The vertical conductor wind speed component is calculated; the vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar fitted on the conductor, thereby controlling the airflow direction around the conductor and reducing conductor vibration; based on the above scheme, the present invention uses the established guide vector of the coprime arc array to obtain a mathematical model of the signal received by the coprime arc array, establishes the estimated variance of wind speed and direction based on the model, and completes the prediction of wind speed and direction at the next moment based on the variance, thereby realizing the adjustment of the opening size of the passive blowing and suction collar, and reducing the vibration amplitude of the conductor by changing the airflow direction around the conductor. Attached Figure Description

[0043] 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.

[0044] Figure 1 This is a flowchart illustrating the steps of a conductor vibration reduction method provided in Embodiment 1 of the present invention;

[0045] Figure 2 This is a schematic flowchart of a conductor vibration reduction method provided in Embodiment 1 of the present invention;

[0046] Figure 3 This is a structural block diagram of a conductor vibration damping device provided in Embodiment 2 of the present invention. Detailed Implementation

[0047] This invention provides a method and apparatus for reducing conductor vibration, which solves the technical problem that existing conductor vibration reduction methods still result in excessive amplitude of conductor vibration in the light wind.

[0048] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0049] Please see Figure 1 , Figure 1 This is a flowchart illustrating the steps of a conductor vibration reduction method provided in Embodiment 1 of the present invention.

[0050] The present invention provides a method for reducing conductor vibration, comprising:

[0051] Step 101: Obtain the ultrasonic signals of wind speed and direction. Based on the ultrasonic signals of wind speed and direction, construct a coprime arc array of wind speed and direction guide vectors using the principle of vector decomposition and the velocity-distance formula.

[0052] The wind speed and direction ultrasonic signal includes the wind speed ultrasonic signal and the wind direction ultrasonic signal.

[0053] It should be noted that in this invention, a passive blowing and suction collar is installed on the conductor to wrap the conductor, and ultrasonic wind speed and direction sensors are installed on both sides of the passive blowing and suction collar in unobstructed positions to collect real-time ultrasonic signals of wind speed and direction around the conductor.

[0054] Specifically, step 101 may include the following sub-steps S11-S14:

[0055] Step S11: Using the vector decomposition theorem, output the wind speed components at the positions of multiple array elements based on the wind speed and direction ultrasonic signals.

[0056] Step S12: Using the velocity-distance formula, determine the signal reception time for multiple array element positions based on the wind speed components at each array element position;

[0057] Step S13: Calculate the position delay of multiple array elements based on the signal reception time of each array element position;

[0058] Step S14: Based on the position delay of multiple array elements, construct the coprime arc array guide vector of wind speed and wind direction.

[0059] It should be noted that when there is no wind, the ultrasonic signal arrives at all receiving elements of the ultrasonic anemometer simultaneously, and there is no time delay between the elements. When there is wind, the presence of the wind signal will affect the time it takes for the transmitted signal to reach the receiving elements. Each element receives the wind speed and direction ultrasonic signal at different times, and a time delay occurs between different elements. This time delay is used to construct the array manifold matrix (i.e., the mathematical model of the coprime arc array receiving the signal) and to measure the wind parameters through an estimation algorithm.

[0060] Specifically, based on the vector decomposition theorem, the wind speed components of the two subarrays are obtained, that is, the wind speed component corresponding to the position of each array element (array element position wind speed component); the two subarrays are merged, and the time of signal reception for each array element is expressed according to the velocity-distance formula; the time delay of each receiving array element is obtained by referring to the common array element of the two subarrays; wherein, when merging the two subarrays, the wind speed components in the first subarray (subarray 1) include , , The wind speed components in the second subarray (subarray 2) include , , , , Where V is the initial wind speed. The angle between the lines connecting adjacent elements in the first subarray and the transmitting source. The angle between the lines connecting adjacent elements in the second subarray to the source is given. , , These represent the wind speed components at different locations within the first subarray. , , , , These represent the wind speed components at different locations within the second subarray. This is an ultrasonic signal indicating wind direction.

[0061] For example, This component is a vector, but because ultrasonic wind speed and direction sensors have an emission angle, the emission angle needs to be subtracted for correction to find the true wind direction component.

[0062] Based on the above, the wind speed component corresponding to the position of the array element is defined as follows: Where M is the number of elements in subarray 1, N is the number of elements in subarray 2, and V i Let be the wind speed component at the position of the i-th array element.

[0063] Furthermore, according to the velocity-distance formula, the time it takes for each array element to receive the signal is: Where c is the speed of sound; when the reference element is the common element of two subarrays, the time delay of each receiving element is obtained. , can be represented as:

[0064] (1)

[0065] (2)

[0066] (3)

[0067] (4)

[0068] (5)

[0069] (6)

[0070] Where R is the covariance matrix of the signals received by the coprime arc array; The position delay of the i-th array element represents the signal propagation delay of the i-th array element relative to the position of the reference array element. The signal reception time at the position of the i-th array element represents the time when the i-th array element receives the signal. The position delay of the first array element indicates the signal propagation delay of the first array element relative to the position of the reference array element. The position delay of the second array element indicates the signal propagation delay of the second array element relative to the position of the reference array element. The position delay of the third array element indicates the signal propagation delay of the third array element relative to the position of the reference array element. The position delay of the fourth array element represents the signal propagation delay of the fourth array element relative to the position of the reference array element. The position delay of the fifth array element represents the signal propagation delay of the fifth array element relative to the position of the reference array element. The position delay of the sixth array element represents the signal propagation delay of the sixth array element relative to the position of the reference array element.

[0071] Furthermore, a mathematical model for the signal reception of a coprime arc array is obtained based on the steering vector. The steering vector of the coprime arc array is:

[0072] (7)

[0073] in, The guide vector for the coprime arc array; This is an ultrasonic signal indicating wind direction; is the ultrasonic signal for wind speed, representing the wind speed amplitude; f is the frequency of the ultrasonic signal. The position delay of the first array element represents the signal propagation delay of the first array element relative to the position of the reference array element. The position delay of the second array element represents the signal propagation delay of the second array element relative to the position of the reference array element. The position delay of the seventh array element represents the signal propagation delay of the seventh array element relative to the position of the reference array element. This is a transpose.

[0074] In this embodiment, the invention selects a location with open sides and no obstructions on all sides for installation, and chooses a high-capacity battery or solar panel as the functional unit. The signals collected by the wind speed and direction sensors are transmitted to the computer signal processing module via a wired connection. The wind speed is decomposed into different components to reflect the wind speed and its rate of change at a given moment in real time; the two subarrays are merged to calculate the time difference between them when the wind speed changes; the time delay of each receiving element is calculated using the speed-distance formula, and the change in time delay reflects the change in wind speed and direction; the time delay is stored as a coprime arc-shaped array guide vector to guide the wind speed and direction at the next moment.

[0075] Step 102: Based on the coprime arc array guide vector of wind speed and direction, construct a mathematical model for the coprime arc array to receive signals.

[0076] It should be noted that, since there is only one transmitted signal, the array manifold matrix... With array manifold vector Equal, that is Therefore, the mathematical model for receiving signals using a coprime arc array can be obtained as follows:

[0077] (8)

[0078] in, The received signal of the coprime arc array at time t; The guide vector for the coprime arc array; The transmitted signal of the coprime arc array at time t; The noise signal of the coprime arc array at time t.

[0079] In this embodiment, the mathematical model of the coprime arc array, under the influence of the guide vector, shows that the wind speed and direction around the conductor change in a linear relationship at the next moment, which can be used to predict the wind speed and direction at the next moment.

[0080] Step 103: Based on the mathematical model of the signal received by the coprime arc array, establish the estimated variance of wind speed and wind direction.

[0081] The variance of wind speed and wind direction estimates includes the variance of wind speed estimates and the variance of wind direction estimates.

[0082] It should be noted that the estimated variance of wind speed and direction is established based on the mathematical model of the coprime arc array receiving signals.

[0083] When the wind direction is constant, the variance of the wind speed estimate is:

[0084] (9)

[0085] When the wind speed is constant, the variance of the wind direction estimate is:

[0086] (10)

[0087] in, and These represent the conjugate transpose and transpose operations of a matrix, respectively. Indicates taking the real part; For Hadamard product; Noise power; Estimate the variance for wind speed; To construct the core parameters for wind speed estimation variance; To construct the core parameters for wind direction estimation variance; Here are the key matrix operation expressions built based on the array model; L is the number of snapshots; Estimate the variance for wind direction;

[0088] Furthermore, , and The calculation formulas are as follows:

[0089] (11)

[0090] (12)

[0091] (13)

[0092] Where 'a' represents ; This represents the inverse operation of a matrix; It is the identity matrix; This is the derivative of the array manifold with respect to wind speed; This is the derivative of the array flow pattern with respect to the wind direction; Let be the covariance matrix of the signal; Let be the noise subspace matrix.

[0093] It is worth mentioning the mathematical model for receiving signals by a coprime arc array. This is the starting point of the entire analysis. In this model, It is the received signal, which contains useful signals from the target as well as noise. It is a guide vector, which is related to the wind direction. and wind speed Closely related, it reflects the array's response characteristics to signals under different wind directions and speeds. It is a signal that has been transmitted. This is noise signal. To establish the estimated variance of wind speed and direction based on this model, we must first start with the steering vector. Steering vector Will follow the wind direction and wind speed The wind speed varies with the array manifold, so it is necessary to calculate the derivative of the array manifold with respect to the wind speed. and the derivative of the array flow pattern with respect to wind direction These derivatives reflect the rate of change of the steering vector with wind speed and wind direction, respectively. These derivatives help to understand how small changes in wind direction and wind speed affect the steering vector.

[0094] Next, consider the impact of noise. Noise power. This is a key parameter that measures the intensity of noise. It is constructed by calculating the noise-related matrix and the signal-related matrix, and using them to build... The expression takes into account the influence of the statistical characteristics of noise and signal on the steering vector.

[0095] Then, using the calculations obtained above... , After obtaining the intermediate results, construct matrices related to wind speed estimation. And the matrix related to wind direction estimation . and It further integrates the variation characteristics of the steering vector as well as statistical information on noise and signal.

[0096] Finally, the noise power , Quick shot count L, or Substituting these parameters into the expressions for the wind speed and wind direction estimation variances, and through specific operations (such as the Hadamard product and taking the real part), the estimated variances of wind speed and wind direction are finally obtained. The entire process starts from the received signal model, gradually explores the relationship between each parameter in the model and wind speed and wind direction, and comprehensively considers noise and signal characteristics to establish the estimated variances of wind speed and wind direction.

[0097] In this embodiment, the wind direction estimation variance is obtained based on the coprime arc array structure. This variance can evaluate the difference between the predicted wind direction value and the actual value at the previous moment. If it is not within the range, the predicted wind direction value at the next moment can be corrected.

[0098] Step 104: Based on the estimated variance of wind speed and direction, predict the wind speed and direction of the conductor and output the predicted values ​​of wind speed and direction of the conductor.

[0099] Specifically, step 104 may include the following sub-steps S41-S42:

[0100] Step S41: Based on the estimated variance of wind speed and direction, construct the Cramer-Rao bound formula for wind speed and direction;

[0101] Step S42: Use the Cramer-Rao boundary formula to predict the wind speed and direction of the conductor, and output the predicted wind speed and direction values ​​of the conductor.

[0102] The Cramer-Rao boundary formulas for wind speed and wind direction include the Cramer-Rao boundary formulas for wind speed and wind direction.

[0103] It should be noted that Cramer-Rao boundary formulas for wind speed and direction are established based on the estimated variance, and wind speed and direction are predicted using these formulas. Specifically, based on the definition of the Cramer-Rao boundary, the calculation formula for the wind parameter estimation using the Cramer-Rao boundary is as follows:

[0104] The formula for estimating wind speed using the Craméro boundary is as follows:

[0105] (14)

[0106] Formula for estimating wind direction using the Craméro boundary:

[0107] (15)

[0108] in, Cramer-Rao bound for wind speed estimation, and denot represents the lower bound of the variance of wind speed estimation; This is an ultrasonic signal indicating wind direction; This is an ultrasonic signal for wind speed, representing the wind speed amplitude. Noise power; L is the number of snapshots; This is the wind speed estimation matrix; H represents the signal source for the i-th snapshot; H is the conjugate. To perform the real part operation; Cramer-Rao bound for wind direction estimation, and denot lower bound for the variance of wind direction estimation; This is the wind direction estimation matrix.

[0109] Furthermore, the variance of wind parameter estimation and the Cramer-Rao bound are both related to the array manifold, the number of snapshots, and the noise power. Based on the above formulas, wind direction prediction can be achieved by fixing the wind speed within a certain range, and wind speed prediction can be achieved by fixing the wind direction within a certain range. This method allows for real-time prediction of wind speed and direction.

[0110] It is worth mentioning that in actual forecasting, when predicting wind direction, the wind speed can be fixed within a certain range. This is because there may be some correlation between wind speed and wind direction. By fixing the wind speed, we can focus more on analyzing the relationship between wind direction and other factors (such as array manifold, snapshot number, noise power, etc.), and use the Cramer-Rao bound formula to determine the lower limit of accuracy of wind direction estimation under this condition, thereby predicting the wind direction.

[0111] Similarly, when making wind speed predictions, the wind direction is fixed within a certain range. This eliminates the interference of wind direction changes, allowing for a focused study of the relationship between wind speed and factors such as array flow pattern, snapshot number, and noise power. The lower limit of wind speed estimation accuracy is determined based on the Cramer-Rao bound formula, thereby enabling wind speed prediction.

[0112] By fixing wind speed and direction within a certain range and using the Cramer-Rao boundary formula for analysis and estimation, real-time prediction of wind speed and direction can be achieved to a certain extent, providing important decision-making basis for related applications (such as meteorological monitoring, wind power generation control, etc.).

[0113] In this embodiment, the Cramer-Rao bound formula for wind speed estimation can predict wind speed by fixing the wind direction within a certain range. This invention optimizes the Cramer-Rao bound formula by employing variance evaluation to make it more closely integrated with the coprime arc array mathematical model of wind speed and direction.

[0114] Step 105: Calculate the vertical conductor wind speed component using the predicted wind speed and direction values ​​of the conductor; the vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar fitted on the conductor, thereby controlling the airflow direction around the conductor and reducing conductor vibration.

[0115] It should be noted that this invention utilizes an installed passive blowing / suction collar combined with predicted wind speed and direction values ​​for the conductor to reduce the influence of airflow on both sides of the conductor, thereby reducing the conductor's accident rate and increasing its service life. Specifically, the diameter of the passive blowing / suction collar is 1.2 times the conductor's diameter; the purpose of the opening is to alter the cylindrical turbulence effect, thereby reducing the Karman vortex effect and thus damping the conductor's vibration.

[0116] Specifically, the motor receives the predicted wind speed and direction values ​​from the conductor and uses a simple trigonometric function to obtain the wind speed component perpendicular to the conductor, thereby controlling the size of the openings in the passive blowing / suction collar. The collar has four openings on each side, and the opening size is determined by the wind speed value at the position directly opposite the opening. :

[0117] (16)

[0118] Where D is the diameter of the blow-suction collar. The value is determined based on the wind speed (the wind speed component perpendicular to the duct), and is calculated using the following formula:

[0119] (17)

[0120] Where V is the wind speed component perpendicular to the guide wire. This refers to the maximum wind speed that causes a light breeze to vibrate the conductor. The speed is determined based on the conductor type; generally, for round conductors... The rest are linear. .

[0121] Furthermore, the passive blow-suction collar controls the airflow in and out according to the different sizes of holes, reducing the vibration of the conductor in a light breeze and reducing the probability of conductor strand breakage.

[0122] For comparison of technical effects, existing technologies can be used as a reference. Overhead transmission lines are an important component of the power system for transmitting electrical energy. With the increasing demand for electricity from industrial and residential users, the length of transmission lines in my country has continued to grow. In recent years, my country has seen a continuous expansion of ultra-high voltage (UHV) projects. Therefore, improving operation and maintenance efficiency, reducing energy loss, and ensuring the safe operation of UHV transmission lines are extremely important. During transmission line operation, the most common phenomenon is conductor fatigue caused by aerial vibration, leading to conductor strand breakage. In severe cases, this can result in line breakage, causing short circuits, fires, and casualties. To reduce line breakage caused by conductor strand breakage, power companies regularly maintain the conductors, but this is inefficient and time-consuming. In fact, reducing aerial vibration of the conductors is the most effective measure to prevent strand breakage from developing into line breakage.

[0123] For the above issues, please refer to Figure 2 This invention proposes a method for reducing conductor vibration by real-time acquisition of wind speed and direction information (ultrasonic signals) around the conductor; processing the acquired wind speed and direction information to predict the wind speed and direction at the next moment and control the operation of the motor; receiving signals transmitted by the computer module to control the opening size of the passive blowing and suction collar; and controlling the airflow around the conductor by rapidly adjusting the opening size, thereby greatly reducing the influence of airflow on the conductor and reducing the vibration amplitude of the conductor.

[0124] In summary, this invention measures wind speed and direction in real time using sensors, establishes wind speed components based on a coprime arc array, merges two subarrays and calculates the time delay of each receiving element, establishes the steering vector of the coprime arc array based on the time delay, and obtains a mathematical model of the received signal of the coprime arc array. Based on this model, an estimated variance of wind speed and direction is established, the prediction effect at the previous moment is evaluated through the variance, and the prediction for the next moment is corrected based on the variance. Wind speed and direction are predicted according to the Cramer-Rao bound formula, with wind speed predicted within a certain range and wind direction predicted within a certain range. Finally, the predicted wind speed and direction values ​​are transmitted to the motor module. After receiving the wind speed and direction information, the motor module controls the opening size of the ferrule through the motor control, thereby reducing the vibration amplitude of the conductor by changing the airflow direction. This improves the stability and reliability of the transmission line operation, significantly reduces fatigue damage, strand breakage, and wire breakage caused by micro-wind vibration, increases the service life of the conductor, reduces the operation and maintenance costs of the power company, and reduces national economic losses caused by conductor failures.

[0125] In this embodiment of the invention, a method for conductor vibration reduction is provided. The method involves acquiring ultrasonic signals of wind speed and direction, constructing a coprime arc-shaped array guide vector for wind speed and direction based on the vector decomposition principle and velocity-distance formula, building a mathematical model for the coprime arc-shaped array receiving signals based on the guide vector, establishing an estimated variance of wind speed and direction based on the mathematical model, predicting the wind speed and direction of the conductor based on the estimated variance, and outputting the predicted wind speed and direction values ​​for the conductor. The vertical conductor wind speed component is calculated based on the predicted value. This component is used to adjust the opening size of the passive blow-suction collar fitted on the conductor, thereby controlling the airflow direction around the conductor and reducing conductor vibration. Based on the above scheme, this invention utilizes the established guide vector of the coprime arc array to obtain a mathematical model of the signal received by the coprime arc array. Based on this model, the estimated variance of wind speed and direction is established. The wind speed and direction at the next moment are predicted based on the variance, thereby adjusting the opening size of the passive blow-suction collar and reducing the vibration amplitude of the conductor by changing the airflow direction around the conductor.

[0126] Please see Figure 3 , Figure 3 This is a structural block diagram of a conductor vibration damping device provided in Embodiment 2 of the present invention.

[0127] The present invention provides a conductor vibration damping device, comprising:

[0128] The acquisition module 301 is used to acquire wind speed and direction ultrasonic signals. It uses the vector decomposition principle and velocity-distance formula to construct a coprime arc array guide vector of wind speed and direction based on the wind speed and direction ultrasonic signals.

[0129] Module 302 is used to construct a mathematical model for receiving signals by a coprime arc array based on the coprime arc array guide vector of wind speed and direction.

[0130] Module 303 is established to establish the estimated variance of wind speed and direction based on the mathematical model of the signal received by the coprime arc array.

[0131] Output module 304 is used to predict the wind speed and direction of the conductor based on the estimated variance of wind speed and direction, and output the predicted wind speed and direction values ​​of the conductor.

[0132] The calculation module 305 is used to calculate the vertical conductor wind speed component using the predicted wind speed and direction values ​​of the conductor; the vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar fitted on the conductor, thereby controlling the airflow direction around the conductor and reducing the vibration of the conductor.

[0133] Furthermore, module 301 is specifically used for:

[0134] The vector decomposition theorem is used to output wind speed components at multiple array element positions based on the wind speed and direction ultrasonic signals.

[0135] The speed-distance formula is used to determine the signal reception time at multiple array element positions based on the wind speed components at each array element position;

[0136] Calculate the time delay of multiple array element positions based on the signal reception time of each array element position;

[0137] Based on the position delay of multiple array elements, a coprime arc array guide vector for wind speed and direction is constructed.

[0138] Furthermore, the output module 304 is specifically used for:

[0139] Based on the estimated variance of wind speed and direction, a Cramer-Rao bound formula for wind speed and direction is constructed.

[0140] The wind speed and direction of the conductor are predicted using the Cramer-Rao boundary formula, and the predicted wind speed and direction values ​​of the conductor are output.

[0141] Furthermore, the coprime arc-shaped array steering vectors of wind speed and direction are specifically as follows:

[0142] ;

[0143] in, The guide vector for the coprime arc array; This is an ultrasonic signal indicating wind direction; is the ultrasonic signal for wind speed, representing the wind speed amplitude; f is the frequency of the ultrasonic signal. The position delay of the first array element represents the signal propagation delay of the first array element relative to the position of the reference array element. The position delay of the second array element represents the signal propagation delay of the second array element relative to the position of the reference array element. The position delay of the seventh array element represents the signal propagation delay of the seventh array element relative to the position of the reference array element. This is a transpose.

[0144] Furthermore, the mathematical model for the signal reception of a coprime arc array is as follows:

[0145] ;

[0146] in, The received signal of the coprime arc array at time t; The guide vector for the coprime arc array; The transmitted signal of the coprime arc array at time t; The noise signal of the coprime arc array at time t.

[0147] Furthermore, the Cramer-Rao boundary formulas for wind speed and wind direction include the Cramer-Rao boundary formula for wind speed and the Cramer-Rao boundary formula for wind direction; the Cramer-Rao boundary formula for wind speed is as follows:

[0148] ;

[0149] in, Cramer-Rao bound for wind speed estimation, and denot represents the lower bound of the variance of wind speed estimation; This is an ultrasonic signal indicating wind direction; This is an ultrasonic signal for wind speed, representing the wind speed amplitude. Noise power; L is the number of snapshots; This is the wind speed estimation matrix; H represents the signal source for the i-th snapshot; H is the conjugate. To perform the real part operation;

[0150] The formula for wind direction and Cramérod boundary is as follows:

[0151] ;

[0152] in, Cramer-Rao bound for wind direction estimation, and denot lower bound for the variance of wind direction estimation; This is the wind direction estimation matrix.

[0153] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0154] This invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program; when the computer program is executed by the processor, the processor performs the steps of the wire vibration reduction method as described in any of the above embodiments.

[0155] This invention also provides a computer-readable storage medium storing a computer program / instructions thereon, which, when executed by a processor, implement the steps of the wire vibration reduction method as described in any of the above embodiments.

[0156] This invention also provides a computer program product, including a computer program / instructions, which, when executed by a processor, implement the steps of the wire vibration reduction method as described in any of the above embodiments.

[0157] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0158] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0159] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for reducing vibration in conductors, characterized in that, include: Acquire ultrasonic signals of wind speed and direction, and construct a coprime arc array of wind speed and direction guide vectors based on the vector decomposition principle and velocity-distance formula. Based on the coprime arc array guide vector of the wind speed and direction, a mathematical model for the coprime arc array to receive signals is constructed. Based on the mathematical model of the received signal from the coprime arc array, the estimated variance of wind speed and direction is established. Based on the estimated variance of the wind speed and direction, the wind speed and direction of the conductor are predicted, and the predicted values ​​of the wind speed and direction of the conductor are output. The wind speed and direction prediction values ​​of the conductor are used to calculate the vertical conductor wind speed component; the vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar sleeved on the conductor, thereby controlling the airflow direction around the conductor and reducing the vibration of the conductor.

2. The conductor vibration reduction method according to claim 1, characterized in that, The method employs vector decomposition principles and velocity-distance formulas to construct a coprime arc-shaped array of guiding vectors for wind speed and direction based on the ultrasonic signals of wind speed and direction, including: Using the vector decomposition theorem, multiple array element position wind speed components are output based on the wind speed and direction ultrasonic signals; The speed-distance formula is used to determine the signal reception time at multiple array element positions based on the wind speed components at each array element position; Calculate the time delay of multiple array element positions based on the signal reception time of each array element position; Based on the position delays of multiple array elements, a coprime arc-shaped array guide vector for wind speed and direction is constructed.

3. The conductor vibration reduction method according to claim 1, characterized in that, The method of predicting the wind speed and direction of the conductor based on the estimated variance of the wind speed and direction, and outputting the predicted wind speed and direction values ​​of the conductor, includes: Based on the estimated variance of wind speed and direction, a Cramer-Rao bound formula for wind speed and direction is constructed. The wind speed and direction of the conductor are predicted using the Cramer-Rao boundary formula, and the predicted wind speed and direction values ​​of the conductor are output.

4. The conductor vibration reduction method according to claim 1, characterized in that, The coprime arc-shaped array guide vectors for wind speed and direction are specifically as follows: ； in, The guide vector for the coprime arc array; This is an ultrasonic signal indicating wind direction; is the ultrasonic signal for wind speed, representing the wind speed amplitude; f is the frequency of the ultrasonic signal. The position delay of the first array element represents the signal propagation delay of the first array element relative to the position of the reference array element. The position delay of the second array element represents the signal propagation delay of the second array element relative to the position of the reference array element. The position delay of the seventh array element represents the signal propagation delay of the seventh array element relative to the position of the reference array element. This is a transpose.

5. The conductor vibration reduction method according to claim 1, characterized in that, The mathematical model for the received signal by the coprime arc array is as follows: ； in, The received signal of the coprime arc array at time t; The guide vector for the coprime arc array; The transmitted signal of the coprime arc array at time t; The noise signal of the coprime arc array at time t.

6. The conductor vibration reduction method according to claim 3, characterized in that, The Cramer-Rao boundary formulas for wind speed and wind direction include the Cramer-Rao boundary formula for wind speed and the Cramer-Rao boundary formula for wind direction; the Cramer-Rao boundary formula for wind speed is specifically as follows: ； in, Cramer-Rao bound for wind speed estimation, and denot represents the lower bound of the variance of wind speed estimation; This is an ultrasonic signal indicating wind direction; This is an ultrasonic signal for wind speed, representing the wind speed amplitude. Noise power; L is the number of snapshots; This is the wind speed estimation matrix; H represents the signal source for the i-th snapshot; H is the conjugate. To perform the real part operation; The formula for the wind direction Cramérod boundary is as follows: ； in, Cramer-Rao bound for wind direction estimation, and denot lower bound for the variance of wind direction estimation; This is the wind direction estimation matrix.

7. A conductor vibration damping device, characterized in that, include: The acquisition module is used to acquire ultrasonic signals of wind speed and direction. Based on the ultrasonic signals of wind speed and direction, it constructs a coprime arc-shaped array of wind speed and direction guide vectors using the principle of vector decomposition and the velocity-distance formula. A construction module is used to construct a mathematical model for the received signal of the coprime arc array based on the coprime arc array guide vector of the wind speed and direction. A module is established to establish the estimated variance of wind speed and direction based on the mathematical model of the signals received by the coprime arc array. The output module is used to predict the wind speed and direction of the conductor based on the estimated variance of the wind speed and direction, and output the predicted wind speed and direction values ​​of the conductor. The calculation module is used to calculate the wind speed component perpendicular to the conductor using the predicted wind speed and direction values ​​of the conductor. The vertical conductor wind speed component is used to adjust the opening size of the passive blowing and suction collar sleeved on the conductor, thereby controlling the airflow direction around the conductor and reducing vibration of the conductor.

8. A computer device, characterized in that, It 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 vibration reduction 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 vibration reduction 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 vibration reduction method as described in any one of claims 1-6.

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