A method and related apparatus for determining the power of a signal source in a power distribution cable based on power distribution imbalance.

Abstract

This invention provides a method and related apparatus for determining the signal source power of power distribution cables based on power distribution imbalance, belonging to the field of power cable detection and signal processing. This method breaks away from the traditional fixed power mode without feedback by acquiring cable reflection signals and obtaining frequency domain reflection data. Then, the frequency domain reflection data is divided into sub-frequency bands and converted into time domain data, avoiding the limitations of single-band analysis. By extracting the power reflection characteristics of the sub-frequency bands and fusing them, a comprehensive feature across the entire frequency band is obtained, which can comprehensively reflect the signal energy distribution state. The power distribution imbalance is determined based on this comprehensive feature. The power is then dynamically adjusted based on this imbalance, forming a closed-loop control that ensures the power setting always adapts to the real-time characteristics of the cable. This achieves detection reliability and automation without manual intervention, adapts to complex high-frequency attenuation, avoids signal distortion and low signal-to-noise ratio, and improves the level of automation.

Description

Technical Field

[0001] This invention belongs to the field of power cable detection and signal processing technology, specifically relating to a method and related apparatus for determining the power of a power distribution cable signal source based on power distribution imbalance. Background Technology

[0002] In power systems, the health of distribution cables plays a crucial role in the reliability of power supply. With the continuous development of power grid technology, various testing technologies have emerged, among which non-destructive testing technology for cables based on the microwave reflection principle has been widely used due to its unique advantages. This technology injects microwave signals of a specific frequency into the cable, then receives and analyzes the reflected signals to locate cable faults or assess their degree of aging.

[0003] In the practical operation of non-destructive testing of cables based on the microwave reflection principle, the selection of signal source power is a crucial factor affecting the testing results. If the transmission power is set too low, the reflected signal will be extremely weak and easily drowned out by environmental noise and the system's own noise floor. Conversely, if the transmission power is set too high, it may cause saturation at the signal receiving front end, resulting in nonlinear distortion and even unnecessary electromagnetic interference to the device under test.

[0004] Currently available power selection methods mostly rely on manual experience or fixed settings, lacking an effective mechanism to dynamically adjust the power based on real-time feedback from the cable under test. Especially in the high-frequency band, the signal attenuation characteristics of cables are more complex, and using a single fixed power setting makes it difficult to simultaneously ensure detection sensitivity and signal quality, ultimately leading to problems such as distorted detection signals or excessively low signal-to-noise ratios. Summary of the Invention

[0005] Therefore, it is necessary to provide a method and related device for determining the signal source power of power distribution cables based on the power distribution imbalance degree to address the above-mentioned technical problems, so as to solve the problem that the selection of signal source power in existing cable detection relies on experience and is difficult to adaptively adjust, resulting in low signal-to-noise ratio or distortion of the detection signal.

[0006] In a first aspect, the present invention provides a method for determining the power of a signal source in a power distribution cable based on power distribution imbalance, comprising the following steps: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0007] Furthermore, a detection signal is transmitted to the power distribution cable under test through a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: The microwave signal emitted by the signal source is used as the detection signal, and the frequency range, number of sampling points and initial transmission power of the microwave signal are set. Microwave signals are directionally transmitted to the power cable under test using a waveguide probe. The microwave reflection signal reflected by the power distribution cable under test is collected, and the microwave frequency domain reflection coefficient of the microwave reflection signal is used as the frequency domain reflection data.

[0008] Furthermore, the frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: Windowing is applied to the frequency domain reflection data to obtain the first frequency domain reflection data; The frequency domain bandwidth of the first frequency domain reflection data is evenly divided into several sub-bands of equal width; The frequency domain reflection data of each sub-band is converted into time domain reflection data by using the fast inverse Fourier transform.

[0009] Furthermore, based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined, including: Obtain the discrete time-domain reflection coefficients corresponding to all sub-bands; Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection characteristic.

[0010] Furthermore, the power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: Extract the power reflection coefficients corresponding to each sub-band from the power reflection characteristics; The power reflection coefficients of each sub-band at the same time point are summed to obtain the full-band power reflection coefficient at the corresponding time point, which is used as the comprehensive power reflection characteristic of the entire frequency band.

[0011] Furthermore, based on the comprehensive power reflection characteristics, the degree of power distribution imbalance is determined, including: Traverse the comprehensive power reflection characteristics across the entire frequency band to determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics; Obtain the power reflection features of each sub-band corresponding to the feature node; Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node; The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the characteristic node and the total power.

[0012] Secondly, the present invention provides a device for determining the power of a power distribution cable signal source based on power distribution imbalance, comprising: The data acquisition module is used to transmit a detection signal to the power distribution cable under test through a signal source, and to acquire the reflected signal reflected by the power distribution cable under test, thereby obtaining the frequency domain reflection data corresponding to the reflected signal. The data conversion module is used to divide the frequency domain range corresponding to the frequency domain reflection data into several sub-frequency bands, and convert the frequency domain reflection data of each sub-frequency band into time domain reflection data; The power reflection characteristic determination module is used to determine the power reflection characteristics of each sub-band based on the time-domain reflection data of each sub-band. The power feature fusion module is used to fuse the power reflection characteristics of all sub-bands to obtain the comprehensive power reflection characteristics of the entire frequency band. The power distribution imbalance calculation module is used to determine the power distribution imbalance based on comprehensive power reflection characteristics. The transmit power determination module is used to adjust the transmit power of the signal source based on the power distribution imbalance, and repeat the above steps until the power distribution imbalance meets the preset conditions, and then determine the corresponding transmit power as the final signal source power.

[0013] Thirdly, the present invention provides a computer device, the device including a processor and a memory: The memory is used to store computer programs and send the instructions of the computer programs to the processor; The processor executes the following steps according to the instructions of the computer program: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0014] Fourthly, the present invention provides a computer-readable storage medium on which a computer program is stored, and when executed by a processor, the computer program performs the following steps: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0015] Fifthly, the present invention provides a computer program product, including a computer program that, when executed by a processor, performs the following steps: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0016] In summary, this invention provides a method and related apparatus for determining the signal source power of a power distribution cable based on power distribution imbalance. This method breaks away from the traditional fixed power mode without feedback by acquiring cable reflection signals and obtaining frequency domain reflection data. Then, it divides the frequency domain reflection data into sub-bands and converts it into time domain data, capturing signal differences in each band under complex attenuation at high frequencies, avoiding the limitations of single-band analysis. By extracting and fusing the power reflection characteristics of the sub-bands, it obtains comprehensive features across the entire frequency band, fully reflecting the signal energy distribution. Based on the power distribution imbalance determined by these comprehensive features, it quantifies signal quality and power adaptability, replacing subjective human experience judgment. The power is dynamically adjusted based on this imbalance, forming a closed-loop control that ensures the power setting always adapts to the real-time characteristics of the cable. This solves the problem that a single fixed power cannot simultaneously address detection sensitivity and signal quality, achieving detection without manual intervention, adapting to complex high-frequency attenuation, avoiding signal distortion and low signal-to-noise ratio, and improving detection reliability and automation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a method for determining the power of a power distribution cable signal source based on power distribution imbalance in one embodiment of the present invention. Figure 2 This is a flowchart illustrating the implementation of a method for determining the power of a power distribution cable signal source based on power distribution imbalance in one embodiment of the present invention. Figure 3 This is a block diagram of a power distribution cable signal source power determination device based on power distribution imbalance in one embodiment of the present invention; Figure 4 This is a block diagram of a computer device according to one embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0020] The background technology of this invention will be further introduced below.

[0021] As the core transmission carrier of the power system, the operating status of distribution cables directly determines the reliability and power quality of the power supply network. With the continuous growth of power load and the increasing service life of cables, faults such as insulation aging, partial discharge, and mechanical damage occur frequently. Accurate detection and assessment of cable health status has become a crucial aspect of power grid operation and maintenance. Currently, non-destructive testing technology based on the microwave reflection principle has been widely promoted and applied in the field of distribution cable testing due to its advantages such as not damaging the cable structure and enabling non-contact online monitoring. The core principle of this technology lies in injecting a microwave frequency detection signal into the cable. When the signal encounters a location with impedance discontinuity (such as a fault point or an area of ​​insulation aging) during transmission, it will be reflected. By collecting and analyzing the frequency response characteristics of the reflected signal, core detection objectives such as cable fault location and aging assessment can be achieved.

[0022] In practical applications of microwave reflection testing of power distribution cables, the selection of the signal source's transmission power is a core parameter directly affecting the accuracy of the test results and the stability of the system; its importance is self-evident. If the signal source's transmission power is set too low, the microwave energy injected into the cable will be weak, and the intensity of the reflected signal will be significantly weakened. Ultimately, the reflected signal will be completely submerged by environmental background noise and the system's inherent noise floor, making it impossible to effectively extract effective characteristic information reflecting the cable's condition. This severely reduces the sensitivity and reliability of the test, and may even lead to missed detections or misjudgments. If the transmission power is set too high, on the one hand, the intensity of the reflected signal will exceed the linear operating range of the receiving module, causing a saturation effect at the receiving front end, resulting in severe nonlinear distortion, destroying the original characteristics of the reflected signal, and interfering with subsequent feature analysis and condition judgment. On the other hand, it may also radiate unnecessary electromagnetic energy into the surrounding area of ​​the cable, causing unexpected electromagnetic interference to surrounding power equipment, communication systems, etc., violating the basic requirements of electromagnetic compatibility of power systems.

[0023] Currently, the signal source power setting of microwave reflection detection systems for power distribution cables mainly relies on manual experience or fixed power values, lacking a standardized and automated dynamic power adjustment mechanism. Manual experience-based setting is highly subjective; differences in experience among testing personnel and varying understandings of different cable conditions can easily lead to a mismatch between the power setting and the actual attenuation characteristics of the cable. Fixed power settings, on the other hand, cannot adapt to different types of power distribution cables, service environments, and aging levels. Especially in the millimeter-wave band (e.g., 22GHz-30GHz), the dielectric loss and impedance characteristics of cables change complexly with frequency, making it difficult to simultaneously meet the testing needs of both high and low frequency bands. For cables with severe high-frequency attenuation, a fixed high power can easily lead to receiver saturation, while a fixed low power will result in insufficient signal-to-noise ratio for low-frequency reflected signals. This passive power setting method cannot dynamically adjust power parameters based on the actual reflection feedback of the cable under test, severely limiting the accuracy and versatility of microwave reflection detection technology in the field of power distribution cables, and failing to meet the core requirements of power systems for high accuracy and stability in cable testing.

[0024] To address the shortcomings of existing technologies where signal source power settings rely on experience and fixed values, lacking dynamic adjustment mechanisms, resulting in insufficient signal-to-noise ratio, signal distortion, and low detection accuracy in microwave reflection detection of power distribution cables, this invention provides a method and related apparatus for determining the signal source power of power distribution cables based on power distribution imbalance. By segmenting and analyzing the frequency domain characteristics of the reflected signal, performing time-domain transformation, and extracting power features, a quantified power distribution imbalance index is constructed, enabling adaptive closed-loop adjustment of the signal source's transmission power. This aims to solve the problem of mismatch between existing power setting methods and actual cable operating conditions, improve the signal-to-noise ratio of the detected signal, avoid signal reception front-end distortion, and ensure the accuracy, stability, and versatility of microwave reflection detection of power distribution cables. The various embodiments of this invention are described in detail below.

[0025] In one embodiment, such as Figure 1 As shown, a method for determining the signal source power of a power distribution cable based on power distribution imbalance is provided, including the following steps: S101: Transmit a detection signal to the power distribution cable under test through a signal source, collect the reflected signal reflected by the power distribution cable under test, and obtain the frequency domain reflection data corresponding to the reflected signal.

[0026] Among them, the detection signal is a microwave signal used to excite the power distribution cable under test and obtain its internal transmission and reflection characteristics; the frequency domain reflection data is the amplitude and phase information of the reflection of the cable to the incident signal within a set frequency range, characterized in the form of microwave reflection coefficient, reflecting the impedance matching characteristics of the cable at different frequencies.

[0027] Optionally, microwave nondestructive testing is typically achieved by transmitting an excitation signal to the object under test and acquiring the reflected signal to obtain frequency domain characteristics. In practice, the operating parameters of the signal source are first configured, then the signal is injected into the cable under test through a directional coupling structure. The reflected signal is then acquired using a receiving unit, and after frequency domain analysis, a discretized frequency domain reflection coefficient sequence is obtained, which serves as the raw data for subsequent processing.

[0028] For example, a microwave signal source with an operating frequency band covering 22GHz to 30GHz can be used as the excitation source, and the total number of sampling points can be set according to the system's distance resolution and calculation accuracy requirements. N The initial transmit power of the signal source is set to -20dBm. The microwave signal is directionally coupled into the undamaged power distribution cable under test through a waveguide probe. The signal is transmitted inside the cable and is reflected due to the structural interface or medium characteristics. The acquisition unit receives the reflected signal and analyzes it point by point in the entire working frequency band to obtain the corresponding microwave reflection coefficient, which is used as the frequency domain reflection data.

[0029] S102: Divide the frequency domain range corresponding to the frequency domain reflection data into several sub-bands, and convert the frequency domain reflection data of each sub-band into time domain reflection data.

[0030] Among them, the sub-band is a number of narrow frequency ranges formed by uniformly dividing the overall detection bandwidth, which is used to finely analyze the attenuation and reflection differences of different frequency bands; the time domain reflection data is a sequence of reflection signals that varies with discrete time points after the frequency domain reflection data is inversely transformed, which can reflect the time delay and position information of the reflection signal on the transmission path.

[0031] Optionally, in broadband digital signal processing, windowing is applied to the frequency domain data to suppress spectral leakage, the broadband is divided into multiple equal-width sub-bands, and frequency-time domain conversion is achieved through fast inverse Fourier transform. In implementation, a window function is first applied to the original frequency domain reflection data to reduce spectral interference caused by boundary truncation. Then, the total frequency band is divided into several equal-width intervals according to a set number. Fast inverse Fourier transform is then performed on the frequency domain data within each sub-band to obtain the discrete time-domain reflection signal corresponding to each sub-band.

[0032] For example, a Hanning window is applied to smooth the collected 22GHz to 30GHz frequency domain reflection coefficients, uniformly dividing the total bandwidth into several (e.g., 10) sub-bands of equal width. Each sub-band can have a bandwidth of 0.8GHz. (The last part, "for the first...", seems unrelated and likely refers to a different topic.) k Performing a fast inverse Fourier transform on the frequency domain reflection coefficients within each sub-band yields the corresponding discrete-time reflection signal for that sub-band. n These are discrete-time sampling points, with values ​​ranging from 1, 2, 3, up to... N Each sampling point corresponds to a fixed transmission delay and physical detection location.

[0033] S103: Based on the time-domain reflection data of each sub-band, determine the power reflection characteristics corresponding to each sub-band.

[0034] Among them, the power reflection characteristic is a parameter that characterizes the intensity of the reflected signal in the form of energy. It is mainly obtained by energy conversion of the time-domain reflection coefficient, which can directly reflect the magnitude of the reflection power of each sub-band at different times and eliminate the influence of phase information on energy comparison.

[0035] Optionally, calculating the power reflection coefficient from the complex reflection coefficient is an application of fundamental electromagnetic theory and a common energy characterization method. In practice, the complex reflection coefficients at the corresponding discrete time points can be extracted from the time-domain reflection data of each sub-frequency band. After taking the modulus of these coefficients, they can be squared to obtain the power reflection coefficient at that point, which can then be used as the power reflection characteristic of that sub-frequency band at the current moment.

[0036] For example, from the first k Extract the first sub-frequency band from the time-domain discrete reflection signal corresponding to the first sub-frequency band. n The time-domain reflection coefficient at the nth discrete time point is calculated by taking the modulus of the coefficient and squaring it to obtain the nth time-domain reflection coefficient. n The sampling point, the first k The power reflection coefficient corresponding to each sub-band directly represents the reflection energy intensity of the current sub-band at this moment, and is used as the power reflection characteristic of the sub-band in subsequent calculations.

[0037] S104: The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band.

[0038] Among them, the full-band comprehensive power reflection characteristic is the total power value obtained by superimposing the power reflection coefficients of all sub-bands at the same discrete time point, which is used to characterize the overall reflection energy level of the cable in the entire detection frequency band at that time.

[0039] Optionally, linearly superimposing multi-channel data at the same location or time is a common processing method to improve the feature signal-to-noise ratio and obtain the global response. In practice, the power reflection coefficients of each sub-band can be aligned according to discrete time points, and the power reflection coefficients of all sub-bands at the same time point can be arithmetically summed to obtain the comprehensive power reflection characteristics of the entire frequency band at that time.

[0040] For example, regarding the first n At each discrete time point, the power reflection coefficients of each sub-band are sequentially traversed. The power reflection coefficients of all sub-bands at that time are accumulated, and the sum is used as the comprehensive power reflection feature of the entire frequency band at that time point. This feature comprehensively reflects the total reflection energy of all detection frequency bands at the same detection position.

[0041] S105: Determine the power distribution imbalance based on comprehensive power reflection characteristics.

[0042] Among them, the power distribution imbalance is an indicator used to quantify the uniformity of the distribution of reflected energy across the entire frequency band between high and low sub-bands. The larger the value, the more significant the difference in energy between high and low frequencies, and the higher the degree of signal attenuation or noise interference.

[0043] Optionally, distribution balance can be determined by peak location, segmented summation, and relative ratio calculation. In practice, the comprehensive power reflection characteristics of the entire frequency band can be traversed first to determine the maximum value and its corresponding discrete time point. Then, the power reflection coefficients of all sub-bands at that time are extracted, the total power and the power difference between high and low frequency bands are calculated, and finally the power distribution imbalance is obtained in the form of a relative ratio.

[0044] For example, iterate through the full-band integrated power reflection characteristics corresponding to all discrete time points, determine the maximum value, and record the discrete time point corresponding to the maximum value. α ,extract α At time 1, calculate the power reflection coefficient of each sub-band. First, calculate the sum of the power reflection coefficients of all sub-bands at that time. Then, calculate the total power of the first few low-frequency sub-bands and the last few high-frequency sub-bands respectively. Divide the absolute value of the difference between the two by the total power to obtain the power distribution imbalance corresponding to the maximum power point.

[0045] S106: Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions, and then determine the corresponding transmission power as the final signal source power.

[0046] Among them, the power adaptive adjustment is a control process that corrects the incident power in a closed loop according to the signal quality index. Through iterative optimization, the energy distribution of the reflected signal tends to be balanced, ensuring that the detection signal has sufficient signal-to-noise ratio and reliability.

[0047] Optionally, the excitation intensity can be iteratively adjusted at fixed step sizes based on feedback indicators. During implementation, the calculated imbalance can be compared with a preset threshold. If the threshold requirement is met, the current power is deemed appropriate; otherwise, the transmission power is increased at fixed gain steps, and the entire process of signal transmission, acquisition, transformation, and calculation is re-executed until the indicators meet the conditions.

[0048] For example, it is determined whether the current power distribution imbalance meets the preset requirements. If it does, it means that the current signal source power is adapted to the characteristics of the cable under test, the energy distribution across the entire frequency band is balanced, and the signal quality meets the requirements for subsequent defect location. If it does not meet the requirements, the current transmission power is increased by 3dBm, and all steps from signal transmission to imbalance calculation are re-executed until the imbalance meets the preset conditions. At this time, the corresponding signal source power is the finally determined optimal power.

[0049] The method provided in this embodiment can adaptively match the optimal incident power according to the dielectric loss and high-frequency attenuation characteristics of different power distribution cables by calculating the power distribution imbalance. This effectively improves the signal-to-noise ratio of the detection signal and avoids problems such as poor adaptability, signal distortion or noise submersion caused by fixed power, thus ensuring the accuracy and reliability of the detection results.

[0050] In an exemplary embodiment, a detection signal is emitted to the power distribution cable under test through a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: S201: Use the microwave signal emitted by the signal source as the detection signal, and set the frequency range, number of sampling points and initial transmission power of the microwave signal.

[0051] Among them, microwave signals are electromagnetic waves that operate in the millimeter-wave frequency band. They have the characteristics of strong directionality and sensitivity to dielectric loss. The frequency domain range, the number of sampling points, and the initial power together determine the coverage, resolution, and initial excitation intensity of the detection signal.

[0052] Optionally, operating parameters are typically set based on the frequency response of the object under test and the linear range of the system hardware. During implementation, the operating frequency band can be selected according to the high-frequency testing requirements of the cable, the number of sampling points can be set according to the detection distance and calculation accuracy, and the initial transmit power can be set according to the linear range of the acquisition module to ensure that the signal is neither saturated and distorted nor overwhelmed by noise.

[0053] For example, a millimeter-wave microwave signal source is selected as the detection signal generating device, and its operating frequency range is set to 22 GHz to 30 GHz. The number of sampling points is set according to the detection distance and resolution accuracy requirements of the system design. N To ensure stable initial operating conditions and that the signal source remains within the linear range of the acquisition device, the initial transmit power of the signal source is set to -20dBm, thus completing the configuration of the core parameters for the detection signal.

[0054] S202: The microwave signal is directionally transmitted to the power distribution cable under test through the waveguide probe.

[0055] Among them, the waveguide probe is a special device used for millimeter-wave signal transmission and coupling. It can constrain the propagation path of electromagnetic waves, realize directional transmission with low loss and low scattering, and improve signal coupling efficiency.

[0056] Optionally, a waveguide structure is typically used to achieve close-range directional signal injection, which can effectively reduce spatial radiation loss and improve incident energy utilization. During implementation, the waveguide probe is impedance-matched to the signal source output, and the contact posture between the probe and the cable surface is adjusted to couple microwave energy into the cable along a specified direction.

[0057] For example, a standard rectangular waveguide probe with a working bandwidth covering 22GHz to 30GHz is used. The probe is reliably connected to the output end of the microwave signal source. The output end of the probe is placed in close contact with the outer sheath of the undamaged power distribution cable under test, so that the microwave signal is directionally coupled into the cable interior in a direction perpendicular to the cable axis, avoiding signal divergence that could cause insufficient incident power and external interference.

[0058] S203: Collect the microwave reflection signal reflected by the power distribution cable under test, and use the microwave frequency domain reflection coefficient of the microwave reflection signal as the frequency domain reflection data.

[0059] Among them, the frequency domain reflection coefficient is the ratio of the complex amplitude of the reflected wave to the complex amplitude of the incident wave. It is a standard parameter in microwave measurement that characterizes impedance mismatch and reflection intensity, and serves as the raw frequency domain data for subsequent processing.

[0060] Optionally, a directional coupler can be used to separate the incident and reflected signals, and the reflection coefficient can be calculated after conditioning via the receiving link. In practice, the reflected signal is received through a directional coupling structure, and after low-noise amplification, filtering, and digital demodulation, the reflection coefficient is calculated at each frequency point, forming a discrete frequency domain data sequence.

[0061] For example, a directional coupling module integrated with the waveguide probe receives the microwave signal reflected from the cable under test. The signal is processed by a low-noise amplifier and an anti-aliasing filter, then converted from analog to digital. The reflection coefficient is calculated point-by-point within the 22GHz to 30GHz frequency band, and the resulting series of frequency-domain reflection coefficients are... This serves as frequency domain reflection data for subsequent signal processing.

[0062] In this embodiment, by collecting and standardizing the reflected signal, the physical reflection behavior of the cable can be transformed into a calculable and processable digital frequency domain signal, so as to realize frequency band division and time domain transformation in the future.

[0063] In an exemplary embodiment, the frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: S301: Window the frequency domain reflection data to obtain the first frequency domain reflection data.

[0064] Among them, windowing is an operation that applies a window function to the discrete sequence in the frequency domain to suppress spectral leakage and boundary interference caused by the limited data length, thereby improving the accuracy of subsequent transformations.

[0065] Optionally, to improve the accuracy of frequency domain analysis for finite-length sequences, weighted processing can be performed using window functions such as the Hanning window and the Hamming window, which can effectively reduce spectral tailing and sidelobe interference. In implementation, a window function suitable for millimeter-wave frequency domain signals is selected, and the window function is multiplied point-by-point with the original frequency domain reflection coefficients to obtain the smoothed first frequency domain reflection data.

[0066] For example, the original frequency domain reflection coefficient sequence collected in the range of 22 GHz to 30 GHz is weighted using the Hanning window. The window function is used to smooth the transition at both ends of the sequence, suppressing the spectral leakage problem that may occur during the fast inverse Fourier transform, and obtaining the first frequency domain reflection data with lower noise and less distortion.

[0067] S302: Divide the frequency domain bandwidth of the first frequency domain reflection data into several equally wide sub-bands.

[0068] Among them, the equal-width sub-band is a narrow band interval obtained by dividing the total detection frequency band equally according to a fixed number. Each sub-band has the same bandwidth, which facilitates the subsequent comparison of high and low frequency energy balance.

[0069] Optionally, uniformly dividing the frequency band is a conventional method to ensure the comparability of statistical characteristics and fairness of energy analysis across frequency bands, and is widely used in the fields of communications, radar, and signal detection. In implementation, the total bandwidth is first calculated, and the bandwidth of each sub-band is obtained based on the set number of sub-bands. Then, continuous frequency intervals of equal width are sequentially divided from low frequency to high frequency.

[0070] For example, the total bandwidth from 22GHz to 30GHz is 8GHz, which is evenly divided into 10 sub-bands. Each sub-band has a bandwidth of 0.8GHz, forming 10 equal-width frequency ranges continuously distributed from low frequency to high frequency, thus completing the sub-band segmentation of the first frequency domain reflection data.

[0071] S303: The fast inverse Fourier transform is used to convert the frequency domain reflection data of each sub-band into time domain reflection data.

[0072] Among them, the fast inverse Fourier transform is an efficient algorithm for converting frequency domain signals to time domain signals. It can complete the transformation with low computational complexity and obtain the corresponding discrete time series.

[0073] Optionally, a fast inverse Fourier transform can be used to convert the frequency domain response into a time domain waveform, thereby mapping the frequency characteristics to time delay and position information. In implementation, a fast inverse Fourier transform is performed on the frequency domain reflection data within each sub-band, outputting the time domain reflection signal at the corresponding discrete time point.

[0074] For example, regarding the first k The frequency domain reflection coefficients within each equal-width sub-band are calculated using the Fast Inverse Fourier Transform algorithm, and the corresponding time-domain discrete reflection coefficients for that sub-band are output. Sampling points n Take from 1 to 1 in sequence N Each discrete point corresponds to a fixed transmission delay, reflecting the reflection characteristics of the cable at different locations.

[0075] In this embodiment, by mapping the frequency domain signal to the time domain signal, a corresponding relationship is formed between the reflected energy and the detection position, providing the necessary data format for subsequent calculation of power at time points and location of the maximum reflection point.

[0076] In an exemplary embodiment, based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined, including: S401: Extract the discrete time-domain reflection coefficients corresponding to each sub-band from the time-domain reflection data.

[0077] Among them, the time-domain discrete reflection coefficient is a complex numerical sequence output by the fast inverse Fourier transform, representing the amplitude and phase of the reflected signal at different discrete time points in each sub-band.

[0078] Optionally, the complex reflection coefficients can be extracted point-by-point according to the sampling index. During implementation, the time-domain data of each sub-frequency band is traversed in discrete time point order, and the corresponding reflection coefficient values ​​are read point by point for subsequent power calculation.

[0079] For example, regarding the first k The time-domain discrete reflection signal generated by each sub-frequency band, according to n =1, 2, 3 until N The time-domain reflection coefficients corresponding to each discrete time point are extracted sequentially in order, resulting in a set of complex numerical sequences arranged by time, which serve as the direct input for calculating the power reflection coefficient.

[0080] S402: Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection characteristic.

[0081] Among them, the power reflection coefficient is the square of the time-domain reflection coefficient modulus, which characterizes the ratio of reflected power to incident power and is a real-valued parameter reflecting energy intensity.

[0082] Optionally, the power reflection coefficient can be obtained from the complex reflection coefficient based on electromagnetic wave transmission theory. In practice, the magnitude of the extracted time-domain reflection coefficient is calculated, and then the magnitude is squared to obtain the power reflection coefficient at the corresponding point, which is directly used as the power reflection characteristic of that sub-frequency band.

[0083] For example, for the first k Sub-band n The modulus of the time-domain reflection coefficient at each time point is calculated, and the modulus is squared to obtain the power reflection coefficient corresponding to that point. This coefficient directly reflects the magnitude of the reflected energy of the current sub-band at that moment, and serves as the power reflection characteristic of that sub-band.

[0084] Specifically, calculating the first k Power reflection coefficient corresponding to each frequency band as follows: (1) In the formula, For the first n Point, number k Power reflection coefficient for each frequency band.

[0085] In this embodiment, the complex reflection signal is converted into real power characteristics to eliminate phase influence, so that the energy of different frequency bands and different times can be directly quantified and compared.

[0086] In one exemplary embodiment, the power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: S501: Obtain the power reflection coefficients for all sub-bands.

[0087] Optionally, data can be aligned according to time intervals. During implementation, the current discrete time point is fixed, all sub-band numbers are traversed, and the corresponding power reflection coefficients are read sequentially to complete the data alignment.

[0088] For example, in the first n At each discrete time point, the power reflection coefficients of the first to last sub-bands at that time are read sequentially. These coefficients are then organized according to the sub-band number to form a set of power data that can be directly summed.

[0089] S502: Summing the power reflection coefficients of each sub-band at the same time point yields the full-band power reflection coefficient at the corresponding time point, which serves as the comprehensive power reflection characteristic of the entire frequency band.

[0090] Among them, the overall power reflection characteristic of the whole frequency band is the sum of the power reflection coefficients of all sub-frequency bands at the same time, which reflects the total reflection energy of the entire frequency band.

[0091] Optionally, linearly summing the energy across multiple frequency bands is a common method to improve the overall characteristic signal-to-noise ratio and obtain the global response. It is computationally simple and does not introduce nonlinear distortion, making it a general signal fusion technique. In practice, the power reflection coefficients of all sub-bands at the same time are directly arithmetically added, and the result is the comprehensive power reflection characteristic at that time.

[0092] For example, the first n The sum of the power reflection coefficients of each sub-band at each time point is used as the comprehensive power reflection characteristic of the entire frequency band at that time point. This characteristic integrates the reflection energy of all detected frequency bands and can represent the overall reflection intensity of the cable at that location.

[0093] Specifically, the formula for calculating the overall power reflection coefficient across the entire frequency band for the 10 sub-bands is as follows: (2) In the formula, For the full frequency band in the first n Power reflection coefficient at each time point.

[0094] In this embodiment, a globally unified power timing feature is obtained through linear fusion, which facilitates the subsequent location of the maximum power point and the calculation of power balance.

[0095] In one exemplary embodiment, determining the power distribution imbalance based on comprehensive power reflection characteristics includes: S601: Traverse the comprehensive power reflection characteristics of the entire frequency band and determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics.

[0096] Among them, the characteristic node is the discrete time point corresponding to the maximum value of the comprehensive power reflection characteristic of the whole frequency band. It usually corresponds to the most significant impedance discontinuity inside the cable and has strong representativeness.

[0097] Optionally, in signal peak detection and feature point localization, traversing the time series to find extreme points is a fundamental and mature signal processing method, widely used for target localization and key point extraction. During implementation, the comprehensive power values ​​at all discrete time points are traversed, and the maximum value and its corresponding time index are recorded to complete the feature node localization.

[0098] For example, traverse sequentially n =1 to N The comprehensive power reflection characteristics of the entire frequency band corresponding to all discrete time points are compared, the maximum value is determined, and the discrete time point corresponding to the maximum value is marked as the feature node. α .

[0099] S602: Obtain the power reflection characteristics of each sub-band corresponding to the feature node.

[0100] This step involves extracting feature nodes. α The power reflection coefficients of all sub-bands at a given time are used to obtain the complete frequency band energy distribution at the strong reflection point.

[0101] Optionally, reading multi-channel data by a specified index is a common post-processing operation, simple to implement and highly reliable. Implementation is based on feature nodes. α Using time index, traverse all sub-bands, read the corresponding power reflection coefficient, and form the frequency domain energy distribution vector for that point.

[0102] For example, using discrete time points α Using the index, the power reflection coefficients of the first to last sub-bands at that moment are extracted respectively, resulting in a set of power data that fully reflects the energy distribution of the high and low frequency bands at the strong reflection location.

[0103] S603: Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node.

[0104] The total power is the sum of the power reflection coefficients of all sub-bands at the characteristic node, which is used to normalize the imbalance and make it a relative value.

[0105] Optionally, summing the energy data from multiple sources to obtain the total energy is a common statistical calculation method that can eliminate the influence of the absolute value of the incident power on the equalization judgment. In practice, the power reflection coefficients of all sub-bands at the characteristic node are directly summed to obtain the total reflected power at that point.

[0106] For example, the power reflection coefficients of each sub-band at time α are summed to obtain the total reflection power at that time, which is used as the normalized denominator for subsequent imbalance calculations.

[0107] S604: The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the characteristic node and the total power.

[0108] Among them, the power distribution imbalance is the ratio of the absolute value of the power difference between high and low frequency bands to the total power, which is used to quantify the degree to which the energy distribution deviates from a uniform state.

[0109] Optionally, the relative difference ratio can be used to assess distribution balance. This is a commonly used existing technique in statistics and signal quality assessment, with strong anti-interference capabilities and stable decision thresholds. In implementation, the 10 sub-bands are divided into high and low groups, the sums of the differences are calculated, and then the absolute value of the difference is divided by the total power to obtain the final imbalance.

[0110] For example, the 10 sub-bands are divided into several low-frequency bands and several high-frequency bands. The total power of the two groups is calculated, the absolute value of the difference between the two groups is obtained, and then the absolute value is divided by the total reflection power at the feature node to obtain the final power distribution imbalance.

[0111] Specifically, regarding the power distribution imbalance across the 10 sub-bands The calculation formula is as follows: (3) in, for The total power of the power reflection coefficient at time t is: (4) In this embodiment, by calculating the power distribution imbalance and using it as a signal quality index for threshold decision, it can serve as a basis for power adaptive adjustment, enabling the entire closed-loop control process to be executed automatically.

[0112] Please see Figure 2 , Figure 2 The implementation flow of a method for determining the signal source power of a power distribution cable based on power distribution imbalance is shown, including the following steps: 1. Initialization: Set the microwave source power P =-20dBm.

[0113] The initial transmit power of the microwave signal source is set to -20dBm. This power is within the linear operating range of a conventional microwave acquisition module. This avoids both excessively high initial power causing saturation of the receiving front end and excessively low initial power causing the reflected signal to be overwhelmed by noise.

[0114] 2. Transmit 22-30GHz signals and collect reflection coefficients. S ( f ).

[0115] With the currently set power P The radio frequency range of the undamaged power distribution cable under test is 22GHz-30GHz, and the number of sampling points is [number missing]. N The microwave detection signal is directionally coupled into the cable through a waveguide probe, and the microwave signal reflected back from the cable is collected to extract its frequency domain reflection coefficient. S ( f ).

[0116] 3. Windowing, dividing into 10 frequency bands, and performing IFFT transform. r ( n , k ).

[0117] First, the collected frequency domain reflection coefficients... S ( f Windowing was applied to suppress spectral leakage and improve data quality; then the total frequency band of 22GHz-30GHz was evenly divided into 10 equal-width sub-bands (each with a bandwidth of 0.8GHz); for the... k Frequency domain reflection coefficient of each sub-band S ( f , kPerforming an inverse fast Fourier transform (IFFT) converts the frequency domain signal into discrete time-domain reflection coefficients. r ( n , k ),in n For discrete time sampling points ( n =1,2,…, N ), k This is the sub-band number.

[0118] 4. Calculate the sub-band power reflection coefficient .

[0119] Based on time-domain discrete reflection coefficient r ( n , k According to formula (1), calculate the first... k Sub-band, first n The power reflection coefficient at each time point transforms the complex domain reflection signal into real-valued power characteristics, quantifying the magnitude of reflection energy in each sub-band.

[0120] 5. Calculate the power reflection coefficient across the entire frequency band. .

[0121] For the same point in time n Below, the power reflection coefficients of the 10 sub-bands are linearly summed, and according to formula (2), the full frequency band is obtained in the 1st... n The comprehensive power reflection coefficient at each time point forms a global temporal characteristic that reflects the overall reflection intensity of the cable.

[0122] 6. Calculate the degree of distribution imbalance RCDU .

[0123] First, iterate through the overall power reflection coefficient across the entire frequency band. Find the discrete time point α (the location of the strongest cable reflection) corresponding to the maximum value; extract the power reflection coefficient of each sub-band at time α. The total power at that moment is calculated according to formula (4); then the 10 sub-bands are divided into the first 5 low-frequency bands and the last 5 high-frequency bands, and the power distribution imbalance is calculated according to formula (3). RCDU Quantify the differences in energy distribution between high and low frequency bands.

[0124] 7. Judgment: RCDU ≤10%?

[0125] The calculated RCDU Compare with the preset threshold of 10%: If so, it means that the reflected energy distribution across the entire frequency band is balanced, the difference in attenuation between high and low frequencies is small, the signal-to-noise ratio meets the detection requirements, the current power is compatible with the cable characteristics, and the process enters the final stage. If not, it indicates a severe imbalance between high and low frequency energy, signal attenuation / noise interference, and the current power is unsuitable. The power needs to be adjusted and the process restarted.

[0126] 8. Power Adjustment: P = P +3dBm.

[0127] when RCDU When >10%, at the current signal source power P Based on this, increase the power by 3dBm to enhance the incident signal strength, thereby improving high-frequency attenuation and increasing the signal-to-noise ratio. After adjustment, the process jumps back to step 2 and repeats the entire process until... RCDU The threshold requirement is met.

[0128] 9. Conclusion: Power is appropriate.

[0129] Indicates the current signal source power P Satisfied RCDU The requirement of ≤10% is met. Once this power is determined as the optimal transmission power for the cable under test, the process ends.

[0130] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0131] Based on the same inventive concept, this application also provides a device for determining the power source of a power distribution cable signal source based on power distribution imbalance, used to implement the aforementioned method for determining the power source of a power distribution cable signal source based on power distribution imbalance. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations in the embodiments of the device for determining the power source of a power distribution cable signal source based on power distribution imbalance provided below can be found in the limitations of the method for determining the power source of a power distribution cable signal source based on power distribution imbalance described above, and will not be repeated here.

[0132] Please see Figure 3 This invention also provides a device for determining the power of a power distribution cable signal source based on power distribution imbalance, comprising: The data acquisition module is used to transmit a detection signal to the power distribution cable under test through a signal source, and to acquire the reflected signal reflected by the power distribution cable under test, thereby obtaining the frequency domain reflection data corresponding to the reflected signal. The data conversion module is used to divide the frequency domain range corresponding to the frequency domain reflection data into several sub-frequency bands, and convert the frequency domain reflection data of each sub-frequency band into time domain reflection data; The power reflection characteristic determination module is used to determine the power reflection characteristics of each sub-band based on the time-domain reflection data of each sub-band. The power feature fusion module is used to fuse the power reflection characteristics of all sub-bands to obtain the comprehensive power reflection characteristics of the entire frequency band. The power distribution imbalance calculation module is used to determine the power distribution imbalance based on comprehensive power reflection characteristics. The transmit power determination module is used to adjust the transmit power of the signal source based on the power distribution imbalance, and repeat the above steps until the power distribution imbalance meets the preset conditions, and then determine the corresponding transmit power as the final signal source power.

[0133] In an exemplary embodiment, a detection signal is emitted to the power distribution cable under test through a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: The microwave signal emitted by the signal source is used as the detection signal, and the frequency range, number of sampling points and initial transmission power of the microwave signal are set. Microwave signals are directionally transmitted to the power cable under test using a waveguide probe. The microwave reflection signal reflected by the power distribution cable under test is collected, and the microwave frequency domain reflection coefficient of the microwave reflection signal is used as the frequency domain reflection data.

[0134] In an exemplary embodiment, the frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: Windowing is applied to the frequency domain reflection data to obtain the first frequency domain reflection data; The frequency domain bandwidth of the first frequency domain reflection data is evenly divided into several sub-bands of equal width; The frequency domain reflection data of each sub-band is converted into time domain reflection data by using the fast inverse Fourier transform.

[0135] In an exemplary embodiment, based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined, including: Extract the discrete time-domain reflection coefficients corresponding to each sub-band from the time-domain reflection data; Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection characteristic.

[0136] In one exemplary embodiment, the power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: Obtain the power reflection coefficients for all sub-bands; The power reflection coefficients of each sub-band at the same time point are summed to obtain the full-band power reflection coefficient at the corresponding time point, which is used as the comprehensive power reflection characteristic of the entire frequency band.

[0137] In one exemplary embodiment, determining the power distribution imbalance based on comprehensive power reflection characteristics includes: Traverse the comprehensive power reflection characteristics across the entire frequency band to determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics; Obtain the power reflection features of each sub-band corresponding to the feature node; Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node; The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the characteristic node and the total power.

[0138] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0139] Reference Figure 4 This invention also provides a computer device, including: a memory and a processor, and a computer program stored in the memory. When the computer program is executed on the processor, it performs the following steps: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0140] In one embodiment, the processor, when executing a computer program, also performs the following steps: A detection signal is emitted to the power distribution cable under test by a signal source, and the reflected signal from the cable is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: The microwave signal emitted by the signal source is used as the detection signal, and the frequency range, number of sampling points and initial transmission power of the microwave signal are set. Microwave signals are directionally transmitted to the power cable under test using a waveguide probe. The microwave reflection signal reflected by the power distribution cable under test is collected, and the microwave frequency domain reflection coefficient of the microwave reflection signal is used as the frequency domain reflection data.

[0141] Furthermore, the frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: Windowing is applied to the frequency domain reflection data to obtain the first frequency domain reflection data; The frequency domain bandwidth of the first frequency domain reflection data is evenly divided into several sub-bands of equal width; The frequency domain reflection data of each sub-band is converted into time domain reflection data by using the fast inverse Fourier transform.

[0142] Furthermore, based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined, including: Obtain the discrete time-domain reflection coefficients corresponding to all sub-bands; Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection characteristic.

[0143] Furthermore, the power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: Extract the power reflection coefficients corresponding to each sub-band from the power reflection characteristics; The power reflection coefficients of each sub-band at the same time point are summed to obtain the full-band power reflection coefficient at the corresponding time point, which is used as the comprehensive power reflection characteristic of the entire frequency band.

[0144] Furthermore, based on the comprehensive power reflection characteristics, the degree of power distribution imbalance is determined, including: Traverse the comprehensive power reflection characteristics across the entire frequency band to determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics; Obtain the power reflection features of each sub-band corresponding to the feature node; Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node; The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the characteristic node and the total power.

[0145] The computer device may be a desktop computer, laptop, handheld computer, or cloud server, etc. This computer device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that... Figure 4 The examples of computer devices are merely examples and do not constitute a limitation on computer devices. They may include more or fewer components than shown in the illustration, or combinations of certain components, or different components. For example, they may also include input / output devices, network access devices, etc.

[0146] The processor referred to can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0147] In some embodiments, the memory may be an internal storage unit of the computer device, such as a hard drive or RAM. In other embodiments, the memory may be an external storage device of the computer device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory may include both internal and external storage units of the computer device. The memory is used to store the operating system, applications, boot loader, data, and other programs, such as the program code of the computer program. The memory can also be used to temporarily store data that has been output or will be output.

[0148] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, performs the following steps: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0149] In one embodiment, the processor, when executing a computer program, also performs the following steps: A detection signal is emitted to the power distribution cable under test by a signal source, and the reflected signal from the cable is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: The microwave signal emitted by the signal source is used as the detection signal, and the frequency range, number of sampling points and initial transmission power of the microwave signal are set. Microwave signals are directionally transmitted to the power cable under test using a waveguide probe. The microwave reflection signal reflected by the power distribution cable under test is collected, and the microwave frequency domain reflection coefficient of the microwave reflection signal is used as the frequency domain reflection data.

[0150] Furthermore, the frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: Windowing is applied to the frequency domain reflection data to obtain the first frequency domain reflection data; The frequency domain bandwidth of the first frequency domain reflection data is evenly divided into several sub-bands of equal width; The frequency domain reflection data of each sub-band is converted into time domain reflection data by using the fast inverse Fourier transform.

[0151] Furthermore, based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined, including: Obtain the discrete time-domain reflection coefficients corresponding to all sub-bands; Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection characteristic.

[0152] Furthermore, the power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: Extract the power reflection coefficients corresponding to each sub-band from the power reflection characteristics; The power reflection coefficients of each sub-band at the same time point are summed to obtain the full-band power reflection coefficient at the corresponding time point, which is used as the comprehensive power reflection characteristic of the entire frequency band.

[0153] Furthermore, based on the comprehensive power reflection characteristics, the degree of power distribution imbalance is determined, including: Traverse the comprehensive power reflection characteristics across the entire frequency band to determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics; Obtain the power reflection features of each sub-band corresponding to the feature node; Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node; The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the characteristic node and the total power.

[0154] In this embodiment, if the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0155] This invention provides a computer program product, including a computer program that, when executed by a processor, performs the following steps: The test signal is transmitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. The degree of power distribution imbalance is determined based on the comprehensive power reflection characteristics; Based on the power distribution imbalance, adjust the transmission power of the signal source and repeat the above steps until the power distribution imbalance meets the preset conditions. Then, determine the corresponding transmission power as the final signal source power.

[0156] In one embodiment, the processor, when executing a computer program, also performs the following steps: A detection signal is emitted to the power distribution cable under test by a signal source, and the reflected signal from the cable is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: The microwave signal emitted by the signal source is used as the detection signal, and the frequency range, number of sampling points and initial transmission power of the microwave signal are set. Microwave signals are directionally transmitted to the power cable under test using a waveguide probe. The microwave reflection signal reflected by the power distribution cable under test is collected, and the microwave frequency domain reflection coefficient of the microwave reflection signal is used as the frequency domain reflection data.

[0157] Furthermore, the frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: Windowing is applied to the frequency domain reflection data to obtain the first frequency domain reflection data; The frequency domain bandwidth of the first frequency domain reflection data is evenly divided into several sub-bands of equal width; The frequency domain reflection data of each sub-band is converted into time domain reflection data by using the fast inverse Fourier transform.

[0158] Furthermore, based on the time-domain reflection data of each sub-band, the power reflection characteristics corresponding to each sub-band are determined, including: Obtain the discrete time-domain reflection coefficients corresponding to all sub-bands; Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection characteristic.

[0159] Furthermore, the power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: Extract the power reflection coefficients corresponding to each sub-band from the power reflection characteristics; The power reflection coefficients of each sub-band at the same time point are summed to obtain the full-band power reflection coefficient at the corresponding time point, which is used as the comprehensive power reflection characteristic of the entire frequency band.

[0160] Furthermore, based on the comprehensive power reflection characteristics, the degree of power distribution imbalance is determined, including: Traverse the comprehensive power reflection characteristics across the entire frequency band to determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics; Obtain the power reflection features of each sub-band corresponding to the feature node; Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node; The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the characteristic node and the total power.

[0161] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0162] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0163] In the embodiments disclosed in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0164] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining the signal source power of a power distribution cable based on power distribution imbalance, characterized in that, Includes the following steps: A detection signal is emitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal. The frequency domain range corresponding to the frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data; Based on the time-domain reflection data of each sub-frequency band, the power reflection characteristics corresponding to each sub-frequency band are determined; The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band. Based on the aforementioned comprehensive power reflection characteristics, the degree of power distribution imbalance is determined; Based on the power distribution imbalance, the transmission power of the signal source is adjusted, and the above steps are repeated until the power distribution imbalance meets the preset conditions. Then, the corresponding transmission power is determined as the final signal source power.

2. The method for determining the signal source power of a power distribution cable based on power distribution imbalance as described in claim 1, characterized in that, A detection signal is emitted to the power distribution cable under test by a signal source, and the reflected signal reflected by the power distribution cable under test is collected to obtain the frequency domain reflection data corresponding to the reflected signal, including: The microwave signal emitted by the signal source is used as the detection signal, and the frequency range, number of sampling points and initial transmission power of the microwave signal are set. The microwave signal is directionally transmitted to the power cable under test using a waveguide probe. The microwave reflection signal reflected by the power distribution cable under test is collected, and the microwave frequency domain reflection coefficient of the microwave reflection signal is used as the frequency domain reflection data.

3. The method for determining the signal source power of a power distribution cable based on power distribution imbalance as described in claim 1, characterized in that, The frequency domain reflection data is divided into several sub-frequency bands, and the frequency domain reflection data of each sub-frequency band is converted into time domain reflection data, including: The frequency domain reflection data is windowed to obtain the first frequency domain reflection data; The frequency domain bandwidth of the first frequency domain reflection data is uniformly divided into several sub-bands of equal width; The frequency domain reflection data of each sub-band is converted into the time domain reflection data by using the fast inverse Fourier transform.

4. The method for determining the signal source power of a power distribution cable based on power distribution imbalance as described in claim 3, characterized in that, Based on the time-domain reflection data of each sub-frequency band, the power reflection characteristics corresponding to each sub-frequency band are determined, including: Extract the discrete time-domain reflection coefficients corresponding to each sub-band from the time-domain reflection data; Based on the time-domain discrete reflection coefficient, the power reflection coefficient corresponding to each sub-band is calculated and used as the power reflection feature.

5. The method for determining the signal source power of a power distribution cable based on power distribution imbalance as described in claim 4, characterized in that, The power reflection characteristics of all sub-bands are fused to obtain the comprehensive power reflection characteristics of the entire frequency band, including: Obtain the power reflection coefficients for all sub-bands; The power reflection coefficients of each sub-band at the same time point are summed to obtain the full-band power reflection coefficient at the corresponding time point, which is used as the comprehensive power reflection characteristic of the full-band.

6. The method for determining the signal source power of a power distribution cable based on power distribution imbalance as described in claim 1, characterized in that, Based on the aforementioned comprehensive power reflection characteristics, the degree of power distribution imbalance is determined, including: Traverse the comprehensive power reflection characteristics of the entire frequency band and determine the feature node corresponding to the maximum value in the comprehensive power reflection characteristics; Obtain the power reflection characteristics of each sub-band corresponding to the feature node; Based on the power reflection characteristics of each sub-band at the feature node, calculate the total power of all sub-bands at the feature node; The power distribution imbalance is calculated based on the power reflection characteristics of each sub-band at the feature node and the total power.

7. A device for determining the power of a power distribution cable signal source based on power distribution imbalance, characterized in that, include: The data acquisition module is used to transmit a detection signal to the power distribution cable under test through a signal source, and to acquire the reflected signal reflected by the power distribution cable under test, and obtain the frequency domain reflection data corresponding to the reflected signal; The data conversion module is used to divide the frequency domain range corresponding to the frequency domain reflection data into several sub-frequency bands, and convert the frequency domain reflection data of each sub-frequency band into time domain reflection data; A power reflection feature determination module is used to determine the power reflection features corresponding to each sub-frequency band based on the time-domain reflection data of each sub-frequency band. The power feature fusion module is used to fuse the power reflection features of all sub-bands to obtain the comprehensive power reflection features of the entire frequency band. The power distribution imbalance calculation module is used to determine the power distribution imbalance based on the comprehensive power reflection characteristics. The transmit power determination module is used to adjust the transmit power of the signal source based on the power distribution imbalance, and repeat the above steps until the power distribution imbalance meets the preset conditions, and then determine the corresponding transmit power as the final signal source power.

8. A computer device, characterized in that, The device includes a processor and a memory: The memory is used to store computer programs and send the instructions of the computer programs to the processor; The processor executes, according to the instructions of the computer program, a method for determining the power of a power distribution cable signal source based on power distribution imbalance as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for determining the power of a power distribution cable signal source based on power distribution imbalance as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements a method for determining the power of a power distribution cable signal source based on the power distribution imbalance as described in any one of claims 1-6.

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