Transmission line propagation characteristic processing method and device, computer equipment and medium

Abstract

The invention relates to a transmission line propagation characteristic processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring line operation data of a target power transmission line; the line operation data comprises operation sequence data and time sequence data corresponding to the operation sequence data; according to the time sequence data, performing differencing, denoising and interference removal processing on the operation sequence data to separate operation sequences of the target power transmission line in different working states, and obtaining target sequence data in a target working state; performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data in a target working state; and calculating propagation characteristic data of the target power transmission line in the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data. By adopting the method, the data processing accuracy of transmission line propagation characteristics can be improved.

Description

Technical Field

[0001] The present application relates to the technical field, and in particular to a method, apparatus, computer equipment, storage medium and computer program product for processing transmission line propagation characteristics. Background Art

[0002] Transmission line propagation parameters are one of the important parameters for power grid fault location. In order to obtain accurate values, analyze the characteristics of transmission lines at power frequency and improve the accuracy of fault location, related technologies use transmission line fault recording devices to record basic line operation data. These data often include measurement errors, noise and interference, which affect the accuracy of fault location on the line and the accuracy of analyzing the characteristics of transmission lines at power frequency.

[0003] However, since the characteristics of the line will cause deviations as the working time and environment change, the relevant technology directly uses the three-phase voltage and current of the transmission line to calculate the parameters of the transmission line. The results will have certain errors due to the non-ideality of the three-phase voltage and current, and the accuracy of data processing cannot be guaranteed. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for processing transmission line propagation characteristics that can improve the data processing accuracy of transmission line propagation characteristics in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for processing transmission line propagation characteristics, comprising:

[0006] Acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data;

[0007] Performing differential, denoising and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition;

[0008] Performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state;

[0009] The propagation characteristic data of the target power transmission line in the target working state is calculated according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0010] In one embodiment, the step of performing differentiation, denoising, and interference removal on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition includes:

[0011] Performing differential denoising processing on the operation sequence data according to the time series data to determine the sampling points corresponding to the target working state;

[0012] Selecting a first waveform sequence according to the sampling points;

[0013] The first waveform sequence is filtered and data fused to obtain target sequence data.

[0014] In one embodiment, performing differential denoising on the operation sequence data according to the time series data to determine the sampling point corresponding to the target working state includes:

[0015] Performing differential processing on the time series data to obtain a sampling time interval between each sampling point;

[0016] Inputting the sampling time interval into a state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points;

[0017] According to the working state and the waveform sequence information, a sampling point corresponding to the target working state is determined.

[0018] In one embodiment, filtering the first waveform sequence and performing data fusion to obtain target sequence data includes:

[0019] Determining initialization parameters according to historical line operation data under the target working state;

[0020] According to the state recognition model of the target transmission line and the initialization parameters, performing Kalman filtering on the first waveform sequence to obtain a second waveform sequence;

[0021] According to the state recognition model of the target power transmission line, least squares data fusion is performed on the second waveform sequence to remove noise and interference contained in the second waveform sequence to obtain target sequence data.

[0022] In one embodiment, the operation sequence data includes three-phase voltage data; the Fourier transform of the target sequence data to obtain the amplitude-frequency characteristic data and the phase-frequency characteristic data under the target working state includes:

[0023] Increasing the sequence length of the three-phase voltage data in the target sequence data to a preset value to obtain modified sequence data;

[0024] The correction sequence data is subjected to Fourier transformation to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state.

[0025] In one embodiment, the calculating the propagation characteristic data of the target transmission line in the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data includes:

[0026] Selecting the amplitude-frequency characteristic data and the phase-frequency characteristic data at a preset frequency;

[0027] Calculating the attenuation constant and phase constant of the target power transmission line according to the amplitude-frequency characteristic data and the phase-frequency characteristic data;

[0028] Propagation characteristic data is calculated based on the attenuation constant and the phase constant.

[0029] In a second aspect, the present application also provides a transmission line propagation characteristic processing device, comprising:

[0030] A data acquisition module, used to acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data;

[0031] A sequence analysis module, used for performing differential, denoising and interference removal processing on the operation sequence data according to the time series data, so as to separate the operation sequence of the target transmission line under different working conditions and obtain the target sequence data under the target working condition;

[0032] A data conversion module, used for performing Fourier transformation on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state;

[0033] A data processing module is used to calculate the propagation characteristic data of the target transmission line under the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0034] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0035] Acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data;

[0036] Performing differential, denoising and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition;

[0037] Performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state;

[0038] The propagation characteristic data of the target power transmission line in the target working state is calculated according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0039] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0040] Acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data;

[0041] Performing differential, denoising and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition;

[0042] Performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state;

[0043] The propagation characteristic data of the target power transmission line in the target working state is calculated according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0044] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0045] Acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data;

[0046] Performing differential, denoising and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition;

[0047] Performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state;

[0048] The propagation characteristic data of the target power transmission line in the target working state is calculated according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0049] The above-mentioned transmission line propagation characteristic processing method, device, computer equipment, storage medium and computer program product obtain the line operation data of the target transmission line to obtain the operation sequence data of the target transmission line and the time series data corresponding to the operation sequence data, and then perform differential, denoising and interference removal on the operation sequence data according to the time series data, process the operation sequence data according to the time series data, denoise, filter and remove interference on the operation sequence data according to the time series, so as to separate the operation sequence of the target transmission line under different working conditions, and then obtain the target sequence data under the target working state, perform Fourier transform on the obtained target sequence data, and obtain the amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state, and finally calculate the propagation characteristic data of the target transmission line under the target working state, so that the propagation characteristic data finally obtained can adapt to synchronous and asynchronous situations, and is suitable for transmission lines with double circuits or multiple circuits on the same tower, thereby improving the data processing accuracy of the transmission line propagation characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A diagram of an application environment of a method for processing transmission line propagation characteristics in one embodiment;

[0052] Figure 2 A schematic flow chart of a method for processing transmission line propagation characteristics in one embodiment;

[0053] Figure 3 It is a flowchart diagram of step S204 of a method for processing propagation characteristics of a power transmission line in one embodiment;

[0054] Figure 4 is a structural block diagram of a transmission line propagation characteristic processing device in one embodiment;

[0055] Figure 5 is an internal structure diagram of a computer device in one embodiment;

[0056] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in another embodiment. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0058] The method for processing transmission line propagation characteristics provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The data storage system can be used to store information such as line operation data of the target transmission line. Among them, the terminal 102 may include a data receiving device and a data display device, wherein the data receiving device may be various power system measurement devices, such as voltage detectors, current detectors, etc., and the data display device may be but is not limited to various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0059] In an exemplary embodiment, Figure 2 As shown in FIG. 1 , a method for processing transmission line propagation characteristics is provided, and the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S202 to S208. Among them:

[0060] Step S202, obtaining line operation data of the target transmission line.

[0061] The line operation data may include operation sequence data and time series data corresponding to the operation sequence data.

[0062] Exemplarily, the terminal 102 responsible for data collection can collect and record the operation data of the target transmission line in real time. These data mainly include operation sequence data and time series data, where the operation sequence data refers to continuous data reflecting the state of the transmission line, such as parameters such as current, voltage, temperature and power. The terminal 102 obtains these data from the transmission line through sensors or other measuring devices, and records them according to the preset sampling frequency. At the same time, the time series data corresponds to the operation sequence data, and the timestamp of each operation data is recorded. The existence of the timestamp ensures the time accuracy of each data, providing a basis for subsequent analysis and traceability.

[0063] Furthermore, the terminal 102 is used to collect operating data such as current and voltage, sample them at a set frequency, mark them with corresponding timestamps, and upload the real-time collected data to the server 104 through the communication module. After receiving the operating data and time series data from the terminal 102, the server 104 stores them in the database. In order to ensure the accuracy and security of the data, the synchronization of the operating data and the timestamp needs to be ensured during the data collection and transmission process to prevent data misalignment or loss.

[0064] Step S204, performing differential, denoising and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain the target sequence data under the target working condition.

[0065] The target working state may be a normal working state or any fault state of the target transmission line.

[0066] Exemplarily, the operation sequence data collected by the terminal 102 often contains noise and mixed signals under other non-target conditions. In order to extract effective data of the target transmission line under a specific working state, the server 104 can perform differential, denoising, and interference removal processing on these data. This process relies on the assistance of time series data to ensure the accuracy of the denoising process. Among them, the operation sequence data may include the operating parameters of the transmission line under various working conditions, and the time series data provides accurate time tags for these parameters. After the data is transmitted to the server 104, the server 104 will perform differential analysis on the operation sequence data based on the time series data. The purpose of differential processing is to reduce or eliminate fluctuations caused by random noise or non-related working conditions by calculating the difference between adjacent time points, thereby highlighting the characteristic signals under the target state.

[0067] Furthermore, in the process of differentiation, denoising, and interference removal, the server 104 can first arrange the operation sequence data according to the time series data to ensure the order and time consistency of the data, and then use the differential algorithm to process the operation data of adjacent time points, and remove those unstable or irrelevant signals by calculating the change between adjacent points, thereby reducing the impact of noise and interference. Next, the server 104 can further analyze the processed differential data, and the server can separate the operation sequence data of the target transmission line under different working conditions. Finally, the server 104 can extract the target sequence data under the target working condition by comparing and screening the data under different working conditions.

[0068] Step S206, performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state.

[0069] The operation sequence data may include three-phase voltage data.

[0070] Exemplarily, after extracting the target sequence data under the target working condition, the server 104 can further perform Fourier transform on these data to obtain the amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state to reveal the amplitude and phase characteristics of different frequency components. After receiving the target sequence data, the server 104 can use the Fourier transform algorithm to convert it from the time domain to the frequency domain. The basic principle of Fourier transform is to decompose a complex time signal into a combination of a series of sine waves and cosine waves of different frequencies. The server 104 applies a discrete Fourier transform or a fast Fourier transform algorithm to the target sequence data. Through these algorithms, the server 104 can calculate the amplitude and phase of each frequency component in the signal. The amplitude-frequency characteristic data shows the amplitude of the target sequence data at different frequencies, which can reflect the amplitude change characteristics of the transmission line under a specific working state; the phase-frequency characteristic data provides the phase information of each frequency component, revealing the phase difference and relative delay of the signal. After Fourier transform processing, the amplitude-frequency characteristic data and phase-frequency characteristic data generated by the server can be further used in advanced analysis processes such as spectrum analysis, pattern recognition or fault detection, converting complex time domain signals into easy-to-analyze frequency domain characteristics, so that the operating status of the transmission line can be understood and monitored more comprehensively and deeply.

[0071] Furthermore, the server 104 may increase the sequence length of the three-phase voltage data in the target sequence data to a preset value to obtain the modified sequence data, and then perform Fourier transform on the modified sequence data to obtain the amplitude-frequency characteristic data and the phase-frequency characteristic data under the target working state.

[0072] Step S208, calculating the propagation characteristic data of the target transmission line under the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0073] Among them, the amplitude-frequency characteristic refers to the change in the amplitude of the signal at different frequencies, which is used to reflect the amplitude of each frequency component of the signal after Fourier transform. The phase-frequency characteristic refers to the change in the phase of the signal at different frequencies, which is used to show the phase difference of each frequency component and reflect the relative delay or phase offset between different frequency components in the signal.

[0074] Exemplarily, server 104 can select amplitude-frequency characteristic data and phase-frequency characteristic data at a preset frequency, calculate the attenuation constant and phase constant of the target transmission line based on the amplitude-frequency characteristic data and the phase-frequency characteristic data, and finally calculate the propagation characteristic data based on the attenuation constant and the phase constant.

[0075] In the above-mentioned transmission line propagation characteristic processing method, by acquiring the line operation data of the target transmission line, the operation sequence data of the target transmission line and the time series data corresponding to the operation sequence data are obtained, and then the operation sequence data are differentiated, denoised, and interference removed according to the time series data, and the operation sequence data are processed according to the time series data, and the operation sequence data are denoised and filtered according to the time series, so that the operation sequence of the target transmission line under different working conditions can be separated, and then the target sequence data under the target working state can be obtained, and the obtained target sequence data is Fourier transformed to obtain the amplitude-frequency characteristic data and the phase-frequency characteristic data under the target working state, and finally the propagation characteristic data of the target transmission line under the target working state is calculated, so that the propagation characteristic data finally obtained can adapt to the synchronous and asynchronous conditions, and is suitable for transmission lines with double circuits or multiple circuits on the same tower, thereby improving the data processing accuracy of the transmission line propagation characteristics.

[0076] In an exemplary embodiment, Figure 3 As shown, step S204 includes steps S302 to S306. Among them:

[0077] Step S302: performing differential denoising processing on the operation sequence data according to the time series data to determine the sampling points corresponding to the target working state.

[0078] The operation sequence data may include three-phase voltage data.

[0079] Exemplarily, time series data is differentially processed to obtain the sampling time interval between each sampling point; the sampling time interval is input into a state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points; based on the working state and waveform sequence information, the sampling point corresponding to the target working state is determined.

[0080] Exemplarily, the server 104 may select three-phase voltage data and time series data, which are expressed as: Ua_0(i), Ub_0(i), Uc_0(i), t(i), i=1, 2, 3, ... n_0. Where n_0 represents the length of the three-phase voltage sequence, and then the time series is differentially processed, tout(i)=t(i)-t(i-1), i=2, 3, 4, ... n_0, and the sampling time of the normal waveform is calculated as tsample=min(tout(i)), and the subscript value (i0, i1) of the sampling time interval of the waveform of the target state (for example, the normal working state) is obtained, so as to determine the sampling point corresponding to the target working state.

[0081] Step S304: selecting a first waveform sequence according to the sampling points.

[0082] Exemplarily, the server 104 can intercept the time series t(i) and the three-phase voltage sequence data Ua_0(i), Ub_0(i), and Uc_0(i) according to the subscript interval (i0, i1) to obtain a waveform sequence when the line is working normally: the first waveform sequence, i.e., Ua_1(i), Ub_1(i), Uc_1(i), t_1(i), i=1,2,3,...n.

[0083] Step S306, filtering the first waveform sequence to obtain target sequence data.

[0084] Exemplarily, the initialization parameters are determined according to the state recognition model under the target working state and the historical line operation data; according to the state recognition model and the initialization parameters under the target working state, the first waveform sequence is subjected to Kalman filtering to obtain the second waveform sequence, i.e., Ua_2(i), Ub_2(i), Uc_2(i), t_2(i), i=1,2,3,...n. Next, the reference sequence data is obtained, and the second waveform sequence is subjected to denoising according to the reference sequence data to obtain the target sequence data.

[0085] For example, the server 104 may perform denoising and interference removal processing on the second waveform sequence, and first determine that the ideal three-phase voltage is expressed as: Where l = a, b, c. It represents a phase of the three-phase voltage. Solve the expression That is, the three-phase voltage after removing noise and interference is obtained. Assume l = a, and calculate the voltage of phase A (phase B and phase C are the same as phase A).

[0086] U A (t) = U am ·Sin(2π(50+Δf c )t i +φ a0 )

[0087] Written in general form, we get:

[0088] f(x)=U A (x 1,k ,x 2,k ,x 3,k ,t i )

[0089] =x1·Sin(2π(50+x2)t i +x3)

[0090] Wherein, x=(x1, x2, x3), 50 represents the power grid power frequency data. Next, the server 104 can use the unconstrained nonlinear least squares method to solve the three-phase voltage after denoising and interference removal:

[0091]

[0092] Where k = 0, initial value xk = (510, 0.1, 0.1), function tolerance ε = 1e-4, λk = = 0.1. Calculation: To determine whether f(x1,x2,x3)<ε is true. If not, solve the equation to get dk: (J(x k ) T J(x k )+λ k I)d k =-J(x k ) T F(x k )

[0093] Wherein, J(x) is the m×n Jacobian matrix of f(x), m=3, and n is the sequence length of the three-phase voltage measurement model; j=1,2,3.i=k. Then, according to the iteration amount Δxk=dk, calculate: f(x 1,k +Δx 1,k ,x 2,k +Δx 2,k ,x 3,k +Δx 2,k ),f(x 1,k ,x 2,k ,x 3,k )

[0094] If f(x 1,k +Δx 1,k ,x 2,k +Δx 2,k ,x 3,k +Δx 2,k ) <f(x 1,k ,x 2,k ,x 3,k ), then xk+1=xk+Δx=xk+dk. λk+1=λkλk / 10; otherwise, the iteration amount Δx=0, λk+1=λk·10. Let k=k+1, xk=xk+1, and we get the result: Get the ideal model: U A (t i )=U am ·Sin(2π(f c +Δf)t i +φ a0 ),i=1,2,3,...,n. Then according to the time series data t_2(i),i=1,2,3,...n, we get the target sequence data, namely Ua_3(i), Ub_3(i), Uc_3(i),i=1,2,3,...n.

[0095] In another exemplary embodiment, after determining the target sequence data, the server 104 may add zeros to the length of the target sequence data, so that the sequence length is increased to: N = 18^nextpow2(n), and then use the discrete Fourier formula to calculate the frequency domain characteristics of the three-phase voltage. Take the calculation of the frequency domain characteristics of the A phase voltage as an example (the calculation process of the B and C phases is the same):

[0096]

[0097] The server 104 can calculate the amplitude-frequency characteristic and the phase-frequency characteristic, where the amplitude-frequency characteristic is HA(f)=abs(Y); the phase-frequency characteristic is φA(f)=angle(Y). Find out the amplitude-frequency size of the 50Hz frequency and get U A (50), Φ A (50), so the output sequence is U A (50), Φ A (50).

[0098] After calculating the amplitude-frequency value, phase-frequency value, and initial phase φa0 of the three-phase voltage on both sides of the transmission line at a frequency of 50 Hz (bus side: UA_M(50), UB_M(50), UC_M(50), initial phase φA0_M, φB0_M, φC0_M. Load side: UA_L(50), UB_L(50), UC_L(50), initial phase φA0_L, φB0_L, φC0_L), the server 104 calculates the attenuation constant α of the transmission line. For example, if the transmission line length is L0, the calculation i=A,B,C, represents one phase of the three-phase voltage. Calculate the phase constant β of the transmission line, based on the transmission line length L0, the speed of light c, and the initial phase φl0, l=A, B, C, represents one phase of the three-phase voltage. Finally, the three-phase propagation constant γ=α+jβ of the transmission line is obtained.

[0099] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0100] Based on the same inventive concept, the embodiment of the present application also provides a transmission line propagation characteristic processing device for implementing the above-mentioned transmission line propagation characteristic processing method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more transmission line propagation characteristic processing device embodiments provided below can refer to the limitations of the transmission line propagation characteristic processing method above, and will not be repeated here.

[0101] In an exemplary embodiment, Figure 4 As shown, a transmission line propagation characteristic processing device is provided, comprising: a data acquisition module 402, a sequence analysis module 404, a data transformation module 406 and a data processing module 408, wherein:

[0102] The data acquisition module 402 is used to acquire the line operation data of the target transmission line; the line operation data includes the operation sequence data and the time series data corresponding to the operation sequence data;

[0103] The sequence analysis module 404 is used to perform differential, denoising and interference removal processing on the operation sequence data according to the time series data, so as to separate the operation sequence of the target transmission line under different working conditions and obtain the target sequence data under the target working condition;

[0104] The data transformation module 406 is used to perform Fourier transformation on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state;

[0105] The data processing module 408 is used to calculate the propagation characteristic data of the target transmission line under the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0106] In one embodiment, the sequence analysis module 404 includes:

[0107] The differential unit is used to perform differential denoising on the operation sequence data according to the time series data to determine the sampling points corresponding to the target working state;

[0108] A sequence construction unit, used for selecting a first waveform sequence according to sampling points;

[0109] The filtering unit is used to filter the first waveform sequence to obtain target sequence data.

[0110] In one of the embodiments, the differential unit is specifically used to: perform differential processing on time series data to obtain the sampling time interval between each sampling point; input the sampling time interval into a state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points; and determine the sampling point corresponding to the target working state based on the working state and waveform sequence information.

[0111] In one of the embodiments, the filtering unit is specifically used to: determine initialization parameters based on a state recognition model under a target working state and historical line operation data; perform Kalman filtering on a first waveform sequence to obtain a second waveform sequence based on the state recognition model and initialization parameters under the target working state; obtain reference sequence data, and perform denoising and interference removal on the second waveform sequence based on the reference sequence data to obtain target sequence data.

[0112] In one embodiment, the operating sequence data includes three-phase voltage data; the data conversion module 406 is specifically used to: increase the sequence length of the three-phase voltage data in the target sequence data to a preset value to obtain modified sequence data; perform Fourier transform on the modified sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state.

[0113] In one embodiment, the data processing module 408 is specifically used to: select amplitude-frequency characteristic data and phase-frequency characteristic data at a preset frequency; calculate the attenuation constant and phase constant of the target transmission line based on the amplitude-frequency characteristic data and the phase-frequency characteristic data; and calculate the propagation characteristic data based on the attenuation constant and the phase constant.

[0114] Each module in the above-mentioned power transmission line propagation characteristic processing device can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0115] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store information such as line operation data of the target transmission line. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for processing the propagation characteristics of a transmission line is implemented.

[0116] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, it implements a method for processing the propagation characteristics of a transmission line. Those skilled in the art can understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0117] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the following steps when executing the computer program: obtaining line operation data of a target transmission line; the line operation data includes operation sequence data, and time series data corresponding to the operation sequence data; performing differential denoising on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions, and obtaining target sequence data under the target working condition; performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working condition; and calculating the propagation characteristic data of the target transmission line under the target working condition according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0118] In one embodiment, when the processor executes the computer program, the following steps are also implemented: differential denoising is performed on the operating sequence data according to the time series data to determine the sampling points corresponding to the target working state; a first waveform sequence is selected according to the sampling points; and the first waveform sequence is filtered to obtain the target sequence data.

[0119] In one embodiment, when the processor executes the computer program, the following steps are also implemented: differential processing is performed on the time series data to obtain the sampling time interval between each sampling point; the sampling time interval is input into the state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points; and based on the working state and waveform sequence information, the sampling point corresponding to the target working state is determined.

[0120] In one embodiment, when the processor executes the computer program, the following steps are also implemented: determining initialization parameters based on historical line operation data under the target working state; performing Kalman filtering on the first waveform sequence according to the initialization parameters to obtain a second waveform sequence; obtaining reference sequence data, and denoising and removing interference on the second waveform sequence according to the reference sequence data to obtain target sequence data.

[0121] In one embodiment, when the processor executes the computer program, the following steps are also implemented: the sequence length of the three-phase voltage data in the target sequence data is increased to a preset value to obtain the corrected sequence data; and the corrected sequence data is Fourier transformed to obtain the amplitude-frequency characteristic data and the phase-frequency characteristic data under the target working state.

[0122] In one embodiment, when the processor executes the computer program, the following steps are also implemented: selecting amplitude-frequency characteristic data and phase-frequency characteristic data at a preset frequency; calculating the attenuation constant and phase constant of the target transmission line based on the amplitude-frequency characteristic data and the phase-frequency characteristic data; and calculating the propagation characteristic data based on the attenuation constant and the phase constant.

[0123] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: obtaining line operation data of a target transmission line; the line operation data includes operation sequence data, and time series data corresponding to the operation sequence data; performing differential, denoising, and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions, and obtain target sequence data under the target working condition; performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working condition; and calculating the propagation characteristic data of the target transmission line under the target working condition according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0124] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: differential denoising is performed on the operating sequence data according to the time series data to determine the sampling points corresponding to the target working state; a first waveform sequence is selected according to the sampling points; and the first waveform sequence is filtered to obtain the target sequence data.

[0125] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: differential processing is performed on the time series data to obtain the sampling time interval between each sampling point; the sampling time interval is input into the state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points; and based on the working state and waveform sequence information, the sampling point corresponding to the target working state is determined.

[0126] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining initialization parameters based on historical line operation data under the target working state; performing Kalman filtering on the first waveform sequence according to the initialization parameters to obtain a second waveform sequence; obtaining reference sequence data, and denoising and removing interference on the second waveform sequence according to the reference sequence data to obtain target sequence data.

[0127] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the sequence length of the three-phase voltage data in the target sequence data is increased to a preset value to obtain the corrected sequence data; and the corrected sequence data is Fourier transformed to obtain the amplitude-frequency characteristic data and the phase-frequency characteristic data under the target working state.

[0128] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented: selecting amplitude-frequency characteristic data and phase-frequency characteristic data at a preset frequency; calculating the attenuation constant and phase constant of the target transmission line based on the amplitude-frequency characteristic data and the phase-frequency characteristic data; and calculating the propagation characteristic data based on the attenuation constant and the phase constant.

[0129] In one embodiment, a computer program product is provided, comprising a computer program, which implements the following steps when executed by a processor: acquiring line operation data of a target transmission line; the line operation data comprising operation sequence data and time series data corresponding to the operation sequence data; performing differential, denoising and interference removal processing on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions, and obtaining target sequence data under the target working condition; performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working condition; and calculating the propagation characteristic data of the target transmission line under the target working condition according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

[0130] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: differentiating, denoising, and removing interference on the operating sequence data according to the time series data to determine the sampling points corresponding to the target working state; selecting the first waveform sequence according to the sampling points; filtering the first waveform sequence to obtain the target sequence data.

[0131] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: differential processing is performed on the time series data to obtain the sampling time interval between each sampling point; the sampling time interval is input into the state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points; and based on the working state and waveform sequence information, the sampling point corresponding to the target working state is determined.

[0132] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining initialization parameters based on historical line operation data under the target working state; performing Kalman filtering on the first waveform sequence according to the initialization parameters to obtain a second waveform sequence; obtaining reference sequence data, and denoising and removing interference on the second waveform sequence according to the reference sequence data to obtain target sequence data.

[0133] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the sequence length of the three-phase voltage data in the target sequence data is increased to a preset value to obtain the corrected sequence data; and the corrected sequence data is Fourier transformed to obtain the amplitude-frequency characteristic data and the phase-frequency characteristic data under the target working state.

[0134] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented: selecting amplitude-frequency characteristic data and phase-frequency characteristic data at a preset frequency; calculating the attenuation constant and phase constant of the target transmission line based on the amplitude-frequency characteristic data and the phase-frequency characteristic data; and calculating the propagation characteristic data based on the attenuation constant and the phase constant.

[0135] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0136] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0137] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0138] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for processing transmission line propagation characteristics, characterized in that: The method comprises: Acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data; According to the time series data, the operation sequence data is subjected to differential, denoising, and interference-removing differential denoising processing to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition; Performing Fourier transform on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state; The propagation characteristic data of the target power transmission line in the target working state is calculated according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

2. The method according to claim 1, characterized in that The step of performing differential denoising on the operation sequence data according to the time series data to separate the operation sequence of the target transmission line under different working conditions to obtain target sequence data under the target working condition includes: Performing differential denoising processing on the operation sequence data according to the time series data to determine the sampling points corresponding to the target working state; Selecting a first waveform sequence according to the sampling points; The first waveform sequence is filtered and data fused to obtain target sequence data.

3. The method according to claim 2, characterized in that The performing differential denoising processing on the operation sequence data according to the time series data to determine the sampling point corresponding to the target working state includes: Performing differential processing on the time series data to obtain a sampling time interval between each sampling point; Inputting the sampling time interval into a state recognition model to obtain the working state and waveform sequence information of the target transmission line in the time period between different sampling points; According to the working state and the waveform sequence information, a sampling point corresponding to the target working state is determined.

4. The method according to claim 2, characterized in that: The filtering and data fusion of the first waveform sequence to obtain target sequence data includes: Determining initialization parameters according to historical line operation data under the target working state; According to the state recognition model of the target transmission line and the initialization parameters, performing Kalman filtering on the first waveform sequence to obtain a second waveform sequence; According to the state recognition model of the target power transmission line, least squares data fusion is performed on the second waveform sequence to remove noise and interference contained in the second waveform sequence to obtain target sequence data.

5. The method according to any one of claims 1 to 4, characterized in that: The operation sequence data includes three-phase voltage data; the target sequence data is subjected to Fourier transform to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state, including: Increasing the sequence length of the three-phase voltage data in the target sequence data to a preset value to obtain modified sequence data; The correction sequence data is subjected to Fourier transformation to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state.

6. The method according to any one of claim 5, characterized in that: The calculating the propagation characteristic data of the target power transmission line in the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data comprises: Selecting the amplitude-frequency characteristic data and the phase-frequency characteristic data at a preset frequency; Calculating the attenuation constant and phase constant of the target power transmission line according to the amplitude-frequency characteristic data and the phase-frequency characteristic data; Propagation characteristic data is calculated based on the attenuation constant and the phase constant.

7. A transmission line propagation characteristics processing device, characterized in that: The device comprises: A data acquisition module, used to acquire line operation data of a target transmission line; the line operation data includes operation sequence data and time series data corresponding to the operation sequence data; A sequence analysis module, used for performing differential, denoising and interference removal processing on the operation sequence data according to the time series data, so as to separate the operation sequence of the target transmission line under different working conditions and obtain target sequence data under the target working condition; A data conversion module, used for performing Fourier transformation on the target sequence data to obtain amplitude-frequency characteristic data and phase-frequency characteristic data under the target working state; A data processing module is used to calculate the propagation characteristic data of the target transmission line under the target working state according to the amplitude-frequency characteristic data and the phase-frequency characteristic data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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