Method and device for detecting defects of grounding body of transmission tower

Abstract

The embodiment of the invention provides a method and device for detecting defects of a grounding body of a power transmission tower, and the method comprises the steps: obtaining a physical loss parameter of the grounding body of the power transmission tower, and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body; preprocessing the target reflected wave to obtain a to-be-measured signal; according to the method, the signal to be detected is subjected to feature extraction, various feature information including time domain feature information, frequency domain feature information and time-frequency domain feature information is obtained, comprehensive defect information of the power transmission tower grounding body is determined according to each physical loss parameter and the feature information, and related information of defects of the power transmission tower grounding body can be accurately determined.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of signal processing technology, and in particular to a method and device for detecting defects in grounding bodies of transmission towers. Background Art

[0002] Transmission tower grounding electrodes are critical components for ensuring the safe operation of power systems. They are primarily used to discharge lightning and fault currents and reduce the potential of the tower. However, defects in these electrodes can lead to excessive grounding resistance, increased lightning trip rates, and other issues, threatening grid stability.

[0003] In the existing technology, the defects of the transmission tower grounding body are usually roughly judged by transmitting ultrasonic waves to the grounding end of the transmission tower and receiving the target reflected waves, based on the amplitude and reflection duration of the target reflected waves. However, the existing technology usually only analyzes the amplitude and frequency of the target reflected waves, resulting in low analysis accuracy and great safety hazards. Summary of the Invention

[0004] In light of this, embodiments of this specification provide a method for detecting transmission tower grounding defects. One or more embodiments of this specification also include an apparatus for detecting transmission tower grounding defects, a computing device, a computer-readable storage medium, and a computer program to address technical deficiencies in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a method for detecting a defect in a grounding body of a transmission tower is provided, comprising: Obtaining physical loss parameters of the grounding body of the transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body, wherein the physical loss parameters include a cross-sectional loss rate and an equivalent impedance change rate; Preprocessing the target reflected wave to obtain the signal to be measured; Extracting features of the signal to be measured to obtain a variety of feature information, wherein the feature information includes time domain feature information, frequency domain feature information, and time-frequency domain feature information; According to the physical loss parameters and characteristic information, the comprehensive defect information of the transmission tower grounding body is determined.

[0006] In some embodiments, the pre-processing step includes: Perform wavelet threshold denoising on the target reflected wave to obtain the denoised signal; The denoised signal is subjected to interference removal processing based on the blind source separation algorithm to obtain the signal to be measured.

[0007] In some embodiments, feature extraction is performed on the signal to be measured to obtain various feature information, including: Extract time domain features of the signal to be tested to obtain peak factor and waveform kurtosis; Extract the frequency domain features of the signal to be measured to obtain the power spectrum center of gravity and harmonic distortion rate; Extract the time-frequency domain features of the signal to be tested and obtain the wavelet packet energy entropy and Cohen distribution cross-term energy; The peak factor, waveform kurtosis, power spectrum center of gravity, harmonic distortion rate, wavelet packet energy entropy and Cohen distribution cross-term energy are identified as multiple characteristic information.

[0008] In some embodiments, determining comprehensive defect information of the transmission tower grounding body based on the physical loss parameters and characteristic information includes: Obtain the number of feature types of feature information, preset first weights and feature initial values for each type of feature information, test calibration values for each type of feature information determined through experiments, historical standard deviations for each type of feature information determined based on historical data, preset material attenuation coefficients, maximum allowable interface loss rates, and equivalent impedance reference values for the grounding body, and preset second weights for each physical loss parameter; Calculate the defect score based on the number of feature types, the first weight, the initial value of the feature, the test calibration value, the historical standard deviation, each physical loss parameter and the corresponding second weight and feature information, and the preset first calculation formula; Determine the level of the transmission tower grounding defect based on the defect grading index corresponding to the material of the grounding body and the defect score; Generate comprehensive defect information based on defect score and defect level.

[0009] In some embodiments, the first calculation formula includes:

[0010] in, S represents the defect score, n Indicates the number of feature types, w i Indicates the i The first weight of the feature information, F i Indicates the i The initial value of the characteristic information, μ i Indicates the i The experimental calibration value of the characteristic information, σ i Indicates the i The historical standard deviation of the characteristic, λ represents the material attenuation coefficient, L represents the cross-sectional loss rate, L max represents the maximum allowable section loss rate, Z cur represents the rate of change of equivalent impedance, ZIndicates the equivalent impedance reference value.

[0011] In some embodiments, the above method further comprises: When it is determined that there is a defect in the grounding body of the transmission tower, a transmission timestamp and a first frequency label corresponding to the target ultrasonic wave, and a reception timestamp and a second frequency label corresponding to the target reflected wave are obtained; Calculate the transmission and reception delay of the target ultrasonic wave and the target reflected wave according to the transmission timestamp, the reception timestamp, the first frequency tag and the second frequency tag; Perform time domain analysis on the transmission and reception delays to calculate the location information of defects.

[0012] According to a second aspect of the embodiments of this specification, a device for detecting defects in a grounding body of a transmission tower is provided, comprising: an acquisition module configured to acquire physical loss parameters of a grounding body of a transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body, wherein the physical loss parameters include a cross-sectional loss rate and an equivalent impedance change rate; A preprocessing module is configured to preprocess the target reflected wave to obtain a signal to be measured; A feature extraction module is configured to extract features from the signal to be measured to obtain a variety of feature information, wherein the feature information includes time domain feature information, frequency domain feature information and time-frequency domain feature information; The defect determination module is configured to determine comprehensive defect information of the transmission tower grounding body based on various physical loss parameters and characteristic information.

[0013] In some embodiments, the pre-processing step includes: Perform wavelet threshold denoising on the target reflected wave to obtain the denoised signal; The denoised signal is subjected to interference removal processing based on the blind source separation algorithm to obtain the signal to be measured.

[0014] In some embodiments, feature extraction is performed on the signal to be measured to obtain various feature information, including: Extract time domain features of the signal to be tested to obtain peak factor and waveform kurtosis; Extract the frequency domain features of the signal to be measured to obtain the power spectrum center of gravity and harmonic distortion rate; Extract the time-frequency domain features of the signal to be tested and obtain the wavelet packet energy entropy and Cohen distribution cross-term energy; The peak factor, waveform kurtosis, power spectrum center of gravity, harmonic distortion rate, wavelet packet energy entropy and Cohen distribution cross-term energy are identified as multiple characteristic information.

[0015] In some embodiments, determining comprehensive defect information of the transmission tower grounding body based on the physical loss parameters and characteristic information includes: Obtain the number of feature types of feature information, preset first weights and feature initial values for each type of feature information, test calibration values for each type of feature information determined through experiments, historical standard deviations for each type of feature information determined based on historical data, preset material attenuation coefficients, maximum allowable interface loss rates, and equivalent impedance reference values for the grounding body, and preset second weights for each physical loss parameter; Calculate the defect score based on the number of feature types, the first weight, the initial value of the feature, the test calibration value, the historical standard deviation, each physical loss parameter and the corresponding second weight and feature information, and the preset first calculation formula; Determine the level of the transmission tower grounding defect based on the defect grading index corresponding to the material of the grounding body and the defect score; Generate comprehensive defect information based on defect score and defect level.

[0016] In some embodiments, the first calculation formula includes:

[0017] in, S represents the defect score, n Indicates the number of feature types, w i Indicates the i The first weight of the feature information, F i Indicates the i The initial value of the characteristic information, μ i Indicates the i The experimental calibration value of the characteristic information, σ i Indicates the i The historical standard deviation of the characteristic, λ represents the material attenuation coefficient, L represents the cross-sectional loss rate, L max represents the maximum allowable section loss rate, Z cur represents the rate of change of equivalent impedance, Z Indicates the equivalent impedance reference value.

[0018] In some embodiments, the apparatus further includes a defect location determination module configured to: When it is determined that there is a defect in the grounding body of the transmission tower, a transmission timestamp and a first frequency label corresponding to the target ultrasonic wave, and a reception timestamp and a second frequency label corresponding to the target reflected wave are obtained; Calculate the transmission and reception delay of the target ultrasonic wave and the target reflected wave according to the transmission timestamp, the reception timestamp, the first frequency tag and the second frequency tag; Perform time domain analysis on the transmission and reception delays to calculate the location information of defects.

[0019] According to a third aspect of an embodiment of this specification, a computing device is provided, including: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned method for detecting defects in the grounding body of the transmission tower are realized.

[0020] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions. When the instructions are executed by a processor, the steps of the above-mentioned method for detecting defects in the grounding body of a transmission tower are implemented.

[0021] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned method for detecting defects in the grounding body of a transmission tower.

[0022] At least one embodiment of the embodiments of this specification obtains the physical loss parameters of the grounding body of the transmission tower and the target reflected wave corresponding to the target ultrasonic wave passing through the grounding body, and pre-processes the target reflected wave to obtain a signal to be measured; performs feature extraction on the signal to be measured to obtain a variety of feature information including time domain feature information, frequency domain feature information and time-frequency domain feature information, and determines the comprehensive defect information of the grounding body of the transmission tower based on the various physical loss parameters and feature information, so as to accurately determine the relevant information of the defects of the grounding body of the transmission tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flowchart of some embodiments of a method for detecting a grounding defect of a transmission tower provided by some embodiments of this specification; Figure 2 is a flow chart of other embodiments of a method for detecting a transmission tower grounding defect provided by some embodiments of this specification; Figure 3 This is a simplified structural diagram of a device for detecting defects in a grounding body of a transmission tower provided in some embodiments of this specification; Figure 4 This is a structural block diagram of a computing device provided in some embodiments of this specification. DETAILED DESCRIPTION

[0024] The following description sets forth many specific details to facilitate a thorough understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0025] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items. The modifications of "one" and "a plurality" mentioned in this disclosure are illustrative and not restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, it should be understood as "one or more".

[0026] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0027] See also Figure 1 , Figure 1 A flow chart of a method for detecting a transmission tower grounding defect according to some embodiments of this specification is shown, which specifically includes the following steps.

[0028] Step 101: obtaining physical loss parameters of the grounding body of the transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body; In some embodiments, the execution entity (e.g., a pre-defined computing device) of the method for detecting defects in the grounding body of a transmission tower (e.g., a pre-defined computing device) can connect to a target device via a wired or wireless connection. The method then obtains physical loss parameters of the grounding body of the transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body. The physical loss parameters include cross-sectional loss rate and equivalent impedance change rate. Physical loss parameters may refer to various parameters measured as changes in the physical properties of the grounding body of the transmission tower due to physical wear or natural corrosion, for example. For example, the physical loss parameters may include cross-sectional loss rate and equivalent impedance change rate. The cross-sectional loss rate may refer to the ratio of the current loss of cross-sectional area of the grounding body to the intact cross-sectional area. The equivalent impedance change rate may refer to the ratio of the change in equivalent resistance due to cross-sectional area loss to time. When measuring the grounding body of a transmission tower, a common ultrasonic device such as a piezoelectric transducer can be used to excite an ultrasonic guided wave signal, which is then propagated along the grounding body. When the ultrasonic wave encounters a defect, it is reflected. The reflected ultrasonic wave signal is collected and processed based on the reflected signal and the target ultrasonic wave to determine the grounding body defect.

[0029] It should be noted that the above-mentioned wireless connection methods may include but are not limited to 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0030] Step 102: Preprocess the target reflected wave to obtain a signal to be measured.

[0031] In some embodiments, the target reflected wave may be pre-processed by the following steps: Step 1: Perform wavelet threshold denoising on the target reflection wave to obtain the denoised signal.

[0032] Part 2: Based on the blind source separation algorithm, the denoised signal is subjected to interference removal processing to obtain the signal to be measured.

[0033] Wavelet threshold denoising is a signal processing technique based on the wavelet transform. Its core concept is to decompose the signal into subbands of different frequencies and exploit the differences in the characteristics of noise and valid signals in the wavelet domain (such as different amplitude distributions) to suppress noise. Furthermore, wavelet threshold denoising not only achieves multi-resolution representation of the signal through wavelet decomposition, improving noise suppression capabilities, but also captures local features in the time and frequency domains, preventing them from affecting subsequently acquired time, frequency, and time-frequency domain features. Blind source separation is a signal processing technique that does not require prior knowledge of signal mixing or source signal characteristics. It can isolate the original independent source signals from multiple mixed observation signals and remove multipath reflection interference. Using wavelet threshold denoising and blind source separation algorithms, it is possible to remove noise and reduce interference while preserving as many local features in the time and frequency domains as possible, making subsequent signal processing in the time and frequency domains more accurate.

[0034] Step 103: Extract features from the signal to be measured to obtain a variety of feature information.

[0035] In some embodiments, feature extraction from the signal under test can yield various types of feature information, including time-domain feature information, frequency-domain feature information, and time-frequency domain feature information. Feature information can refer to data extracted from the signal for different directions, fields, spatial domains, and so on. Different feature information can represent information in different dimensions of the signal, thereby enabling data analysis of the signal in different aspects.

[0036] In some optional implementations, feature extraction is performed on the signal to be measured to obtain a variety of feature information, including: time domain feature extraction is performed on the signal to be measured to obtain a peak factor and waveform kurtosis; frequency domain feature extraction is performed on the signal to be measured to obtain a power spectrum centroid and harmonic distortion rate; time-frequency domain feature extraction is performed on the signal to be measured to obtain wavelet packet energy entropy and Cohen distribution cross-term energy; the peak factor, waveform kurtosis, power spectrum centroid, harmonic distortion rate, wavelet packet energy entropy and Cohen distribution cross-term energy are determined as a variety of feature information.

[0037] The combined parameters of peak factor, waveform kurtosis and wavelet packet energy entropy can better explain the abnormal discharge pulse and energy distribution at the corrosion point, that is, the analysis of local corrosion.

[0038] The combined parameters of harmonic distortion rate and power spectrum center of gravity can better explain the harmonics and resonant frequency shift caused by the increase in contact resistance, that is, to analyze whether the connection is loose.

[0039] The cross-term energy parameter of Cohen distribution can better explain the transient impact of fracture and the sudden increase of cross-interference energy, that is, the analysis of fracture or crack.

[0040] While the above parameters are commonly used in this field and their meanings are not explained in detail, their combination has been determined through extensive experimentation. Selecting this combination of parameters allows for a detailed analysis of grounding defects from multiple perspectives, thereby increasing the accuracy of the calculations in the embodiments of the present invention.

[0041] Step 104: Determine comprehensive defect information of the transmission tower grounding body based on the physical loss parameters and characteristic information.

[0042] In some embodiments, comprehensive defect information of the transmission tower grounding body may be determined based on the physical loss parameters and characteristic information through the following steps: The first step is to obtain the number of feature types of feature information, the preset first weights and feature initial values of each type of feature information, the test calibration values of each type of feature information determined through experiments, the historical standard deviations of each type of feature information determined based on historical data, the preset material attenuation coefficient, maximum allowable interface loss rate and equivalent impedance reference value corresponding to the grounding body, and the preset second weights for each physical loss parameter.

[0043] The first weight may refer to the preset weight of various types of characteristic information during calculation. The test calibration value may refer to the corresponding parameter value of various types of characteristic information under normal circumstances determined by the test. The historical standard deviation may refer to the standard deviation of the parameter value obtained in each previous calculation and the test calibration value. The material attenuation coefficient may refer to the physical quantity of the degree of signal loss after the signal passes through the grounding body. The material attenuation coefficient can be measured. The maximum allowable interface loss rate may refer to a preset threshold value of the interface loss rate. Once the threshold is exceeded, the grounding body cannot continue to work normally and a scrapping plan needs to be implemented. The equivalent impedance reference value may refer to a preset impedance value under normal circumstances. The second weight may refer to the respective weights of each physical loss parameter in the final calculation score, and this data is set based on experience.

[0044] The second step is to calculate a defect score based on the number of feature types, the first weight, the initial value of the feature, the test calibration value, the historical standard deviation, each physical loss parameter, the corresponding second weight, the feature information, and the preset first calculation formula. The defect score can refer to the score calculated for the defect according to the above method. This score can be used to analyze the response based on preset simple indicators. For example, the defect score can range from 0 to 100, and different response measures can be taken for different defect score scores.

[0045] As an example, the first calculation formula includes:

[0046] in, S represents the defect score, n Indicates the number of feature types, wi Indicates the i The first weight of the feature information, F i Indicates the i The initial value of the characteristic information, μ i Indicates the i The experimental calibration value of the characteristic information, σ i Indicates the i The historical standard deviation of the characteristic, λ represents the material attenuation coefficient, L represents the cross-sectional loss rate, L max represents the maximum allowable section loss rate, Z cur It represents the rate of change of equivalent impedance, and Z represents the reference value of equivalent impedance.

[0047] in, Calculating the Euclidean distance of multiple feature information deviations from the normal state can reflect the abnormality of the defect, thereby performing a first-level judgment analysis of the grounding body.

[0048] The sensitivity of high impedance changes is magnified, and the combined effects of cross-sectional loss and impedance changes are combined to conduct a second-angle judgment and analysis of grounding defects.

[0049] The first calculation formula obtained by combining the two methods can, on the one hand, reflect the abnormality of the defect by calculating the Euclidean distance of multiple characteristic information deviations from the normal state; on the other hand, it amplifies the sensitivity of high impedance changes and combines the combined effects of cross-sectional loss and impedance changes to conduct a second-angle judgment and analysis of the defects of the grounding body. This can perform a multi-level analysis of the defects of the grounding body and obtain more accurate analysis results.

[0050] The third step is to determine the defect level of the transmission tower grounding body based on the defect grading index corresponding to the material of the grounding body and the defect score.

[0051] Defect grading indicators can be preset to judge the severity of defects based on different materials and determine their defect levels. This allows for a simple and clear display of defects, making it easier for users to perform actions corresponding to the defect level, such as replacement or targeted maintenance.

[0052] For example, when the material is copper, defects can be classified into the following four levels:

[0053] When the material is galvanized steel, the determination of its defects is similar to that of copper, but the specific data are different.

[0054] The fourth step is to generate comprehensive defect information based on the defect score and defect level.

[0055] Comprehensive defect information may refer to comprehensive information generated based on the defect score and defect level. The comprehensive information may include, but is not limited to, any one or a combination of the following: numbers, graphics, tables, symbols, strings, videos, audio, or other content that can represent the defect score and defect level.

[0056] The beneficial effects of one of the embodiments of the present specification include at least: obtaining the physical loss parameters of the grounding body of the transmission tower and the target reflected wave corresponding to the target ultrasonic wave passing through the grounding body, pre-processing the target reflected wave to obtain a signal to be measured; performing feature extraction on the signal to be measured to obtain a variety of feature information including time domain feature information, frequency domain feature information and time-frequency domain feature information, and determining the comprehensive defect information of the grounding body of the transmission tower based on the various physical loss parameters and feature information, so as to accurately determine the relevant information of the defects of the grounding body of the transmission tower.

[0057] In some embodiments, the above method also includes: when it is determined that there is a defect in the grounding body of the transmission tower, obtaining the transmission timestamp and first frequency tag corresponding to the target ultrasonic wave, and the reception timestamp and second frequency tag corresponding to the target reflected wave; calculating the transmission and reception delay of the target ultrasonic wave and the target reflected wave based on the transmission timestamp, reception timestamp, first frequency tag and second frequency tag; performing time domain analysis on the transmission and reception delay to calculate the location information of the defect.

[0058] The transmit / receive timestamp can refer to the time of transmitting the target ultrasonic signal / receiving the target reflected wave signal. The timestamp can be recorded based on a preset frequency and set as needed. The first / second frequency tag can refer to the frequency tag corresponding to multiple frequency bands of the target ultrasonic signal / target reflected wave signal. Through the corresponding first / second frequency tag, the corresponding band of the target ultrasonic signal / target reflected wave signal can be screened out, and then the time from transmitting the target ultrasonic wave to receiving the target reflected wave, that is, the transmit / receive delay, can be calculated based on the corresponding band. Based on the transmit / receive delay, the location information of the defect can be calculated, increasing the analysis angle of the grounding defect.

[0059] The following combined Figure 2 , shows a processing flow chart of a method for detecting defects in a grounding body of a transmission tower provided in some other embodiments of this specification, which specifically includes the following steps.

[0060] Step 201: obtaining physical loss parameters of the grounding body of the transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body, wherein the physical loss parameters include a cross-sectional loss rate and an equivalent impedance change rate.

[0061] Step 202: Perform wavelet threshold denoising on the target reflected wave to obtain a denoised signal.

[0062] Step 203: performing interference removal processing on the denoised signal based on a blind source separation algorithm to obtain a signal to be measured.

[0063] Step 204: extracting features from the signal to be measured to obtain a variety of feature information, wherein the feature information includes time domain feature information, frequency domain feature information, and time-frequency domain feature information.

[0064] Step 205: Obtain the number of feature types of feature information, the preset first weights and feature initial values of each type of feature information, the test calibration values of each type of feature information determined through experiments, the historical standard deviations of each type of feature information determined based on historical data, the preset material attenuation coefficient, maximum allowable interface loss rate and equivalent impedance reference value corresponding to the grounding body, and the preset second weights for each physical loss parameter.

[0065] Step 206: Calculate the defect score based on the number of feature types, the first weight, the feature initial value, the test calibration value, the historical standard deviation, each physical loss parameter and the corresponding second weight and feature information, and the preset first calculation formula.

[0066] Step 207: Determine the defect level of the transmission tower grounding body according to the defect grading index corresponding to the material of the grounding body and the defect score.

[0067] Step 208: Generate comprehensive defect information based on the defect score and defect level.

[0068] In some embodiments, steps 201-208 are Figure 1 The specific implementation of the corresponding steps in the corresponding embodiments and the technical effects brought about can be referred to Figure 1 The steps in will not be repeated here.

[0069] Corresponding to the above method embodiment, this specification also provides an embodiment of a device for detecting defects in a grounding body of a transmission tower. Figure 3 The figure shows a schematic diagram of a structure of a detection device for a transmission tower grounding defect provided by some embodiments of this specification. Figure 3 As shown, the device includes: An acquisition module 301 is configured to acquire physical loss parameters of a grounding body of a transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body, wherein the physical loss parameters include a cross-sectional loss rate and an equivalent impedance change rate; The preprocessing module 3012 is configured to preprocess the target reflected wave to obtain a signal to be measured; The feature extraction module 303 is configured to extract features from the signal to be measured to obtain a variety of feature information, wherein the feature information includes time domain feature information, frequency domain feature information and time-frequency domain feature information; The defect determination module 304 is configured to determine comprehensive defect information of the transmission tower grounding body according to the physical loss parameters and characteristic information.

[0070] In some embodiments, the pre-processing step includes: Perform wavelet threshold denoising on the target reflected wave to obtain the denoised signal; The denoised signal is subjected to interference removal processing based on the blind source separation algorithm to obtain the signal to be measured.

[0071] In some embodiments, feature extraction is performed on the signal to be measured to obtain various feature information, including: Extract time domain features of the signal to be tested to obtain peak factor and waveform kurtosis; Extract the frequency domain features of the signal to be measured to obtain the power spectrum center of gravity and harmonic distortion rate; Extract the time-frequency domain features of the signal to be tested and obtain the wavelet packet energy entropy and Cohen distribution cross-term energy; The peak factor, waveform kurtosis, power spectrum center of gravity, harmonic distortion rate, wavelet packet energy entropy and Cohen distribution cross-term energy are identified as multiple characteristic information.

[0072] In some embodiments, determining comprehensive defect information of the transmission tower grounding body based on the physical loss parameters and characteristic information includes: Obtain the number of feature types of feature information, preset first weights and feature initial values for each type of feature information, test calibration values for each type of feature information determined through experiments, historical standard deviations for each type of feature information determined based on historical data, preset material attenuation coefficients, maximum allowable interface loss rates, and equivalent impedance reference values for the grounding body, and preset second weights for each physical loss parameter; Calculate the defect score based on the number of feature types, the first weight, the initial value of the feature, the test calibration value, the historical standard deviation, each physical loss parameter and the corresponding second weight and feature information, and the preset first calculation formula; Determine the level of the transmission tower grounding defect based on the defect grading index corresponding to the material of the grounding body and the defect score; Generate comprehensive defect information based on defect score and defect level.

[0073] In some embodiments, the first calculation formula includes:

[0074] in, S represents the defect score, nIndicates the number of feature types, w i Indicates the i The first weight of the feature information, F i Indicates the i The initial value of the characteristic information, μ i Indicates the i The experimental calibration value of the characteristic information, σ i Indicates the i The historical standard deviation of the characteristic, λ represents the material attenuation coefficient, L represents the cross-sectional loss rate, L max represents the maximum allowable section loss rate, Z cur represents the rate of change of equivalent impedance, Z Indicates the equivalent impedance reference value.

[0075] In some embodiments, the apparatus further includes a defect location determination module configured to: When it is determined that there is a defect in the grounding body of the transmission tower, a transmission timestamp and a first frequency label corresponding to the target ultrasonic wave, and a reception timestamp and a second frequency label corresponding to the target reflected wave are obtained; Calculate the transmission and reception delay of the target ultrasonic wave and the target reflected wave according to the transmission timestamp, the reception timestamp, the first frequency tag and the second frequency tag; Perform time domain analysis on the transmission and reception delays to calculate the location information of defects.

[0076] The above is a schematic diagram of a transmission tower grounding defect detection device according to this embodiment. It should be noted that the technical solution of this transmission tower grounding defect detection device and the technical solution of the aforementioned transmission tower grounding defect detection method are based on the same concept. For details not described in detail in the technical solution of the transmission tower grounding defect detection device, please refer to the description of the technical solution of the aforementioned transmission tower grounding defect detection method.

[0077] Figure 4 4 shows a block diagram of a computing device 400 according to some embodiments of the present disclosure. Components of the computing device 400 include, but are not limited to, a memory 401 and a processor 402. The processor 402 is connected to the memory 401 via a bus 403, and a database 405 is used to store data.

[0078] Computing device 400 also includes an access device 404 that enables computing device 400 to communicate via one or more networks 406. Examples of such networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. Access device 404 may include one or more of any type of network interface (e.g., a network interface card (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0079] In one embodiment of the present specification, the above components of the computing device 400 and Figure 4 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 4 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art may add or replace other components as needed.

[0080] Computing device 400 can be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, personal digital assistant, laptop computer, notebook computer, netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or personal computer (PC). Computing device 400 can also be a mobile or stationary server.

[0081] Processor 402 is configured to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the aforementioned method for detecting grounding defects in transmission towers. The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the aforementioned method for detecting grounding defects in transmission towers are based on the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the aforementioned method for detecting grounding defects in transmission towers.

[0082] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the above-mentioned method for detecting defects in the grounding body of a transmission tower are implemented.

[0083] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the aforementioned method for detecting defects in the grounding element of a transmission tower. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the aforementioned method for detecting defects in the grounding element of a transmission tower.

[0084] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is instructed to execute the steps of the above-mentioned method for detecting defects in the grounding body of a transmission tower.

[0085] The above is an illustrative embodiment of a computer program. It should be noted that the technical solution of this computer program is based on the same concept as the technical solution of the aforementioned method for detecting defects in the grounding element of a transmission tower. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the aforementioned method for detecting defects in the grounding element of a transmission tower.

[0086] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0087] Computer instructions include computer program code, which may be in source code, object code, executable files, or some intermediate form. Computer-readable media may include any entity or device capable of carrying computer program code, recording media, USB flash drives, removable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunications signals, and software distribution media. It should be noted that the content of computer-readable media may be expanded or reduced based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals or telecommunications signals.

[0088] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0089] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0090] The preferred embodiments disclosed above are intended only to help illustrate this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to specific embodiments. Obviously, many modifications and variations are possible based on the content of the embodiments described herein. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the embodiments, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A method for detecting defects in grounding bodies of transmission towers, characterized in that: include: Obtaining physical loss parameters of a grounding body of a transmission tower and a target reflected wave corresponding to a target ultrasonic wave emitted through the grounding body, wherein the physical loss parameters include a cross-sectional loss rate and an equivalent impedance change rate; Preprocessing the target reflected wave to obtain a signal to be measured; Extracting features of the signal to be measured to obtain a variety of feature information, wherein the feature information includes time domain feature information, frequency domain feature information, and time-frequency domain feature information; Comprehensive defect information of the transmission tower grounding body is determined based on the physical loss parameters and characteristic information.

2. The method according to claim 1, characterized in that The pre-processing steps include: Performing wavelet threshold denoising on the target reflected wave to obtain a denoised signal; The denoised signal is subjected to interference removal processing based on a blind source separation algorithm to obtain the signal to be measured.

3. The method according to claim 1, characterized in that Feature extraction is performed on the signal to be tested to obtain a variety of feature information, including: Extracting time domain features of the signal to be measured to obtain a peak factor and a waveform kurtosis; Perform frequency domain feature extraction on the signal to be measured to obtain the power spectrum centroid and harmonic distortion rate; Extracting time-frequency domain features of the signal to be measured to obtain wavelet packet energy entropy and Cohen distribution cross-term energy; The peak factor, waveform kurtosis, power spectrum center of gravity, harmonic distortion rate, wavelet packet energy entropy and Cohen distribution cross-term energy are determined as the multiple feature information.

4. The method according to claim 1, wherein Determining comprehensive defect information of the transmission tower grounding body according to the physical loss parameters and the characteristic information includes: Obtaining the number of feature types of the feature information, preset first weights and feature initial values for each type of feature information, experimental calibration values determined through experiments for each type of feature information, historical standard deviations of each type of feature information determined based on historical data, preset material attenuation coefficients, maximum allowable interface loss rates, and equivalent impedance reference values corresponding to the grounding body, and preset second weights for each of the physical loss parameters; Calculate a defect score based on the number of feature types, the first weight, the feature initial value, the test calibration value, the historical standard deviation, each physical loss parameter and the corresponding second weight and the feature information, and a preset first calculation formula; Determining the defect level of the transmission tower grounding body according to the defect grading index corresponding to the material of the grounding body and the defect score; The comprehensive defect information is generated according to the defect score and the defect level.

5. The method according to claim 4, characterized in that The first calculation formula includes: in, S represents the defect score, n Indicates the number of feature types, w i Indicates the i The first weight of the feature information, F i Indicates the i The initial value of the characteristic information, μ i Indicates the i The experimental calibration value of the characteristic information, σ i Indicates the i The historical standard deviation of the characteristic, λ represents the material attenuation coefficient, L represents the cross-sectional loss rate, L max represents the maximum allowable section loss rate, Z cur represents the equivalent impedance change rate, Z Indicates the equivalent impedance reference value.

6. The method according to claim 1, characterized in that Also includes: When it is determined that the grounding body of the transmission tower has a defect, obtaining a transmission timestamp and a first frequency tag corresponding to the target ultrasonic wave, and a reception timestamp and a second frequency tag corresponding to the target reflected wave; Calculating the transmission and reception time delays of the target ultrasonic wave and the target reflected wave according to the transmission timestamp, the reception timestamp, the first frequency tag and the second frequency tag; Perform time domain analysis on the transmission and reception delays to calculate the location information of the defect.

7. A device for detecting defects in grounding bodies of transmission towers, characterized in that: include: an acquisition module configured to acquire physical loss parameters of a grounding body of a transmission tower and a target reflected wave corresponding to a target ultrasonic wave passing through the grounding body, wherein the physical loss parameters include a cross-sectional loss rate and an equivalent impedance change rate; a preprocessing module, configured to preprocess the target reflected wave to obtain a signal to be measured; A feature extraction module is configured to extract features from the signal to be tested to obtain a variety of feature information, wherein the feature information includes time domain feature information, frequency domain feature information and time-frequency domain feature information; The defect determination module is configured to determine comprehensive defect information of the transmission tower grounding body according to each of the physical loss parameters and the characteristic information.

8. A computing device, characterized in that include: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for detecting defects in the grounding body of a transmission tower as described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing computer-executable instructions, characterized in that: When the computer executable instructions are executed by a processor, the steps of the method for detecting defects in the grounding body of a transmission tower as described in any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program or instructions, characterized in that: When the computer program or instruction 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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