A kind of anti-interference data transmission method of 10kV fault high voltage line

Abstract

This invention relates to an anti-interference data transmission method for a 10kV faulted high-voltage line, belonging to the field of signal transmission technology. The method includes: acquiring fault data and subcarriers; inputting the fault data into a fault-channel cooperative sensing model, outputting fault type and channel state information; performing hierarchical coding based on the fault type and channel state information to obtain hierarchical error correction coding; generating an anti-phase interference cancellation signal using a phase conjugate cooperative arc interference cancellation unit, and aggregating subcarriers to obtain aggregated subcarriers; mapping the hierarchical error correction coding to the aggregated subcarriers to obtain a modulated signal; superimposing the anti-phase interference cancellation signal and the modulated signal to achieve initial interference cancellation, obtaining a mixed signal; performing signal compensation using a multi-source power supply relay unit; performing secondary interference cancellation on the compensated mixed signal; and demodulating and decoding the signal after secondary interference cancellation to restore the fault data, thus completing the fault data transmission.

Description

Technical Field

[0001] This invention relates to the field of signal transmission technology, and mainly to an anti-interference data transmission method for a 10kV faulty high-voltage line. Background Technology

[0002] The 10kV distribution network is the core link of the power system to supply power to end users. Its operating status is directly related to the reliability of power supply. Faults such as line breakage, single-phase grounding, phase-to-phase short circuit precursors, and insulator breakdown occur frequently in the operation of the distribution network. When a fault occurs, the line will generate strong broadband interference of 300-800kHz, with an intensity of 50-70dBμV. This interference directly covers the core frequency band of carrier communication and will completely drown out the fault data signal. Moreover, the interference is dynamic broadband interference generated by the fault arc, which is unconventional pulse / Gaussian noise and requires active targeted cancellation rather than general noise reduction. In addition, the impedance of the 10kV line changes abruptly from the normal 50Ω to 150-250Ω and fluctuates continuously. At the same time, the power supply is often interrupted around the fault point, and the lines are mostly deployed in mountainous / uninhabited areas without external mains power backup. The communication relays are required to be independent of external power supply and be able to support dynamic signal compensation for long-distance (≤30km) transmission. Traditional relay nodes lose power support. The signal attenuation is significantly increased compared to the non-fault state, making long-distance transmission extremely difficult and placing extremely high demands on the real-time and reliable transmission of fault data.

[0003] Chinese invention patent application CN 116743211A discloses a method for anti-interference in power line carrier communication. This technical solution includes acquiring and preprocessing the communication signal, then detecting and predicting interference, accurately identifying the interference source, optimizing the anti-interference control strategy, enhancing the sensitivity of the communication signal reception, monitoring the anti-interference process, detecting vulnerabilities in the power line carrier communication process, and regularly conducting safety hazard investigations and risk point re-inspections. However, the above technical solution only uses frequency-selective filters for general noise reduction, combined with conventional methods such as wide-amplitude modulation and code division multiplexing to improve anti-interference performance. It does not design a dedicated cancellation mechanism for the 300-800kHz wideband arc interference unique to 10kV fault lines, thus failing to achieve precise targeted suppression of arc interference. Under strong arc interference, the noise suppression effect is extremely poor, easily leading to signal submersion. Furthermore, the encoding is a generic, indiscriminate encoding. The modulation mapping simply converts the bitstream into subcarrier signals in a fixed format, lacking hierarchical protection, topology switching, and frequency band avoidance logic, which cannot meet the differentiated transmission requirements of 10kV fault data. Furthermore, the above technical solutions do not consider power outages around the 10kV fault point, lack self-powered relay design, and lack dynamic compensation strategies for long-distance signal attenuation on faulty lines. Relays rely on external power supplies and immediately fail after a power outage, making it impossible to cover long-distance faulty lines in rural / mountainous areas. In addition, the above technical solutions only use general error correction coding to improve anti-interference capabilities, without designing hierarchical protection strategies for core fault data such as emergency power-off commands and fault location data on the faulty line. Under strong interference, the bit error rate of high-priority data cannot be effectively controlled, and the reliable execution of fault handling commands cannot be guaranteed.

[0004] Therefore, there is an urgent need for an efficient anti-interference communication method that can be adapted to 10kV faulty high-voltage lines. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention proposes an anti-interference data transmission method for 10kV faulted high-voltage lines.

[0006] The technical solution of the present invention is as follows: On one hand, this invention proposes an anti-interference data transmission method for a 10kV faulted high-voltage line, the method comprising: The transmitting end acquires fault data of a 10kV high-voltage line with superimposed high-frequency arc interference; inputs the fault data into a pre-trained fault-channel cooperative sensing model, and outputs fault type and channel state information; The fault data is hierarchically encoded based on the fault type and channel state information to obtain hierarchical error correction coding; the fault type and channel state information are input into the phase conjugate cooperative arc interference cancellation unit to generate an anti-phase interference cancellation signal. All subcarriers in the candidate subcarrier resource pool of the transmitter are aggregated to obtain aggregated subcarriers; based on the preset modulation method, hierarchical error correction coding is mapped to aggregated subcarriers to obtain modulated signals; the anti-phase interference cancellation signal and the modulated signal are linearly superimposed using a combiner to achieve initial interference cancellation, resulting in a mixed signal; the mixed signal is injected into the 10kV fault high-voltage line. The mixed signal is compensated by a multi-source power relay unit to obtain a compensated mixed signal; the compensated mixed signal is then input into a phase conjugate enhancement receiving unit for secondary interference cancellation, and the signal after secondary interference cancellation is sent to the receiving end. The receiving end receives and demodulates and decodes the signal after secondary interference cancellation to restore the fault data and complete the fault data transmission.

[0007] Preferably, the fault-channel cooperative sensing model includes an input layer, a feature extraction layer, a task branching layer, and an output layer connected in sequence, wherein: The input layer is used to receive the fault data; The feature extraction layer is composed of at least two one-dimensional convolutional layers and gated recurrent units stacked together, and is used to extract deep temporal features reflecting the dynamic evolution characteristics of electric arcs from fault data; The task branching layer includes a parallel fault classification branch and a channel estimation branch; The fault classification branch includes a fully connected layer and a Softmax activation function, which is used to output the probability distribution of fault types based on deep temporal features; The channel estimation branch includes a fully connected layer and a linear activation function, which is used to output channel state information based on deep temporal features.

[0008] Preferably, fault data is hierarchically encoded based on fault type and channel state information. The specific steps are as follows: Fault data is prioritized based on preset priority rules; The current coding topology is switched based on the impedance value in the channel state information; The fault data is differentiated by using an encoding chip based on priority and encoding topology. The highest priority performs three-level encoding, which includes phase check precoding, polar code error correction encoding, and LDPC channel encoding. The medium priority performs two-level encoding, which includes polar code and LDPC encoding. The low priority performs one-level encoding, which includes LDPC encoding.

[0009] Preferably, the fault type and channel state information are input into the phase conjugate cooperative arc interference cancellation unit to generate an anti-phase interference cancellation signal. The specific steps are as follows: The fault type is mapped to the arc interference conjugate coding reference library to obtain the coding compensation coefficient; The interference signal features of the channel state information are extracted, and the interference signal features are subjected to hierarchical coding processing to obtain an inverse phase conjugate baseband coded stream. The coding processing specifically includes: performing a 180° phase reversal on the interference signal and superimposing coding compensation coefficients; performing 16-bit PCM coding on the amplitude of the interference signal; and performing 32-bit frequency band mask coding on the frequency band of the interference signal. Obtain the interfered frequency band on the subcarrier; Generate the canceled waveform of the interfered frequency band based on the anti-phase conjugate baseband coded stream; The cancellation waveform is converted into an analog domain signal by a digital-to-analog converter, and then subjected to LC pre-filter and frequency band gating filter to obtain the anti-phase interference cancellation signal.

[0010] Preferably, all subcarriers are aggregated, and the specific steps are as follows: Perform FFT analysis on the acquired subcarriers to obtain the signal-to-noise ratio of each subcarrier; Based on the preset signal-to-noise ratio rules, subcarriers are divided into disabled subcarriers, available subcarriers, and high-quality, interference-free subcarriers; disabled subcarriers are removed to form a candidate subcarrier set. Based on the channel level in the channel state information, the candidate subcarrier set is aggregated with different numbers of paths to obtain aggregated subcarriers.

[0011] Preferably, signal compensation for the mixed signal is performed using a multi-source power relay unit, and the specific steps are as follows: Real-time measurement of the attenuation of mixed signals transmitted on the line; Calculate the signal compensation amount based on the attenuation amount, the impedance value in the channel state information, and the fault type. Compensation is applied to the mixed signal based on the signal compensation amount.

[0012] Preferably, the compensated mixed signal is input into the phase conjugate enhancement receiving unit for secondary interference cancellation. The specific steps are as follows: The anti-phase interference cancellation signal and the modulated signal including the residual arc interference signal are separated from the compensated mixed signal; The separated modulation signal is amplified with low noise using a noise amplifier; The amplified modulation signal and the separated anti-phase interference cancellation signal are input into a time-domain coherent superposition unit. The residual arc interference signal is canceled out by taking advantage of the fact that the amplitude of the anti-phase interference cancellation signal and the residual arc interference signal in the amplified modulation signal are equal but the phase is opposite. Calculate the noise suppression rate of the signal after the current secondary interference cancellation; When the noise suppression rate is detected to be lower than the preset threshold, an adjustment command is fed back to the transmitter. The transmitter adjusts the parameters of the anti-phase interference cancellation signal based on the feedback command until the noise suppression rate of the signal after secondary interference cancellation reaches the preset threshold.

[0013] Preferably, the receiving end receives and demodulates / decodes the signal after secondary interference cancellation. The specific steps are as follows: The decoding chip at the receiving end performs differential demodulation based on the frequency band of the signal after secondary interference cancellation; The decoding chip at the receiving end performs the corresponding reverse decoding based on the encoding method selected during the encoding process.

[0014] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described in the present invention.

[0015] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in the present invention.

[0016] The present invention has the following beneficial effects: 1. This invention generates a cancellation signal that is in the opposite phase conjugate state to the fault arc interference through a phase conjugate cooperative arc interference cancellation unit. The cancellation signal is then linearly superimposed with the modulation signal by a combiner and canceled twice at the receiving end. This achieves precise targeted suppression of the 300-800kHz wideband arc interference unique to 10kV fault lines, reduces the risk of communication interruption under strong interference, enhances the stability of signal transmission in fault scenarios, and avoids the decrease in transmission rate caused by discarding subcarriers, thereby improving the subcarrier utilization rate. 2. This invention performs hierarchical coding of fault data based on fault type and channel state, designs different levels of error correction coding strategies, and adopts the highest level of three-level coding protection for core high-priority data, which improves the transmission reliability of core fault handling instructions, ensures zero-error execution of key operations such as emergency power outages and fault location, and improves the efficiency and safety of fault handling. 3. This invention adopts a multi-source redundant power supply mode through a multi-source power supply relay unit, which eliminates dependence on external power sources and solves the problem of relay failure caused by power outage at fault points. At the same time, the unit dynamically adjusts the compensation strategy according to the channel status to accurately compensate for long-distance attenuated signals, improves the coverage capability of long-distance power-free fault lines, and enhances the stability and scenario adaptability of relay transmission. Attached Figure Description

[0017] Figure 1 This is a detailed flowchart of an embodiment of the present invention; Figure 2 These are normal signal waveforms and fault signal waveforms from embodiments of the present invention. Figure 3 This is a waveform diagram of the anti-phase interference cancellation signal according to an embodiment of the present invention; Figure 4 This is a waveform diagram after the initial cancellation according to an embodiment of the present invention; Figure 5 This is a waveform diagram of the signal after secondary cancellation according to an embodiment of the present invention; Figure 6 This is a waveform diagram of the signal received by the receiver in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0020] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0021] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0022] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0023] Example 1: See Figure 1 This invention provides an anti-interference data transmission method for a 10kV faulted high-voltage line, the method comprising: When a fault occurs in a 10kV high-voltage line, it will generate a wideband strong arc interference of 300-800kHz, with an interference intensity of 50-70dBμV. After the fault occurs, the impedance of the 10kV high-voltage line will suddenly change from the normal 50Ω to 150-250Ω and continue to fluctuate. There is no stable channel window period. The channel adaptation delay is required to be ≤5ms, and the coding topology needs to be dynamically reconstructed with the impedance. The 10kV fault point is accompanied by power outages, and the lines are mostly deployed in mountainous / uninhabited areas with no external mains power backup. The communication relays are required to be independent of external power supply and to support dynamic signal compensation for long-distance transmission. S1. The transmitting end acquires fault data of a 10kV high-voltage line with superimposed 300-800kHz wideband strong arc interference; the fault data includes: Fault arc parameters include peak arc current, arc duration, arc spectrum characteristics (e.g., characteristic peak amplitude and center frequency in the 300-800kHz frequency band), and number of arc extinctions, which are used to accurately determine the severity and type of the fault. The fault location data includes the distance from the fault point to the sensing terminal along the line, the fault line segment identifier, the line phase identifier, the location error correction coefficient, etc., which supports rapid fault location and maintenance repair. Emergency control commands include emergency tripping commands (such as circuit breaker tripping commands and fault isolation commands), fault handling priority commands, and operation and maintenance scheduling commands, which must meet the requirements of millisecond-level response and ultra-low bit error rate transmission. Equipment damage status data includes insulator flashover counts, line joint temperatures, line insulation layer damage levels, and abnormal operating parameters of equipment around the fault point (such as instrument transformers and surge arresters), which are used to assess equipment damage and formulate subsequent maintenance strategies. Routine monitoring data includes basic data such as real-time voltage, load current, and ambient temperature and humidity of the faulty line, providing auxiliary support for fault analysis and subsequent line restoration; S2. Input the fault data into the pre-trained fault-channel cooperative sensing model and output the fault type and channel state information; S21. The fault types include open circuit faults, single-phase grounding, phase-to-phase short circuit precursors, insulator breakdown, etc. The channel status information includes channel level (excellent / medium / poor), interference center frequency band / width, impedance value, interference strength, channel level, interference center frequency band and width, real-time impedance value, interference strength, etc. S22. The fault-channel cooperative sensing model comprises an input layer, a feature extraction layer, a task branching layer, and an output layer connected in sequence, wherein: S221. The fault-channel cooperative sensing model is pre-trained by 100 TOPS high-performance heterogeneous computing nodes in the cloud. After 100 rounds of iterative training, the trained fault-channel cooperative sensing model is generated. S222, The input layer is used to receive the fault data; The feature extraction layer is composed of at least two one-dimensional convolutional layers and gated recurrent units stacked together, and is used to extract deep temporal features reflecting the dynamic evolution characteristics of electric arcs from fault data; The task branching layer includes a parallel fault classification branch and a channel estimation branch; The fault classification branch includes a fully connected layer and a Softmax activation function, which is used to output the probability distribution of fault types based on deep temporal features; The channel estimation branch includes a fully connected layer and a linear activation function, which is used to output channel state information based on deep time-series characteristics. The channel state information is used to reflect the overall quality of the current faulty line, such as interference intensity and impedance fluctuation. S3. Based on the fault type and channel state information, the fault data is hierarchically encoded to obtain hierarchical error correction coding; Because 10kV fault lines are subject to strong arc interference and drastic fluctuations in channel impedance, traditional single coding methods cannot simultaneously ensure high-reliability transmission and spectral efficiency. Therefore, the hierarchical coding is used to dynamically select error correction coding schemes of different strengths based on the importance of the fault data and the channel state, ensuring that critical fault data (such as emergency power-off commands) receive the highest level of protection in a strong interference environment. S31. Based on a preset priority classification rule, the fault data is classified into three priority levels: highest priority, medium priority, and low priority. The highest priority refers to core control data for fault handling, including emergency power-off commands, fault section isolation commands, and core fault location data. The medium priority refers to fault analysis support data, including fault arc parameters, equipment damage status data, protection action recording data, etc. The low priority refers to routine monitoring data, including routine line voltage and current data, ambient temperature and humidity data, historical operating data, etc. S32. Switch the current coding topology based on the impedance value in the channel state information. The coding topology is the logical organization structure of the coding chip for processing multiple fault data streams, including star, chain, and mesh topologies, wherein: When the impedance value is ≤100Ω, a star topology is adopted. Specifically, the encoding chip gathers multiple fault data streams from different sensors (such as current, voltage, and positioning modules) into a central encoding core for unified processing. The encoding chip uses a unified set of encoding parameters (such as unified code rate, code length, and modulation order) for all data streams. During execution, only one set of parameter configuration needs to be loaded, and the switching speed is fast. When the impedance value is 100-200Ω, a chain topology is adopted. Specifically, the data stream is no longer centralized, but is serially cascaded according to priority; a parameter pipeline is formed inside the encoding chip; the highest priority uses high redundancy parameters with a code rate of 1 / 2; the medium priority uses balanced parameters with a code rate of 2 / 3; and the low priority uses efficient parameters with a code rate of 3 / 4. During execution, the encoding chip must dynamically switch the register configuration according to the priority of the data stream. When the impedance value is ≥200Ω, a mesh topology is adopted. Specifically, after multiple data streams enter the encoding chip, full interconnection cross-coding is performed. The encoding chip needs to maintain multiple sets of parameters at the same time and perform cross-operation between parameters. S33. The fault data is differentially encoded using an encoding chip based on priority and encoding topology. Specifically: the highest priority data undergoes a three-level encoding process including phase-check precoding, polar code error correction encoding, and LDPC channel coding; the medium priority data undergoes a two-level encoding process including polar code and LDPC; and the lowest priority data undergoes a single-level LDPC encoding process. S331, Phase verification precoding is a dedicated pre-protection step for the highest priority data. Its function is to proactively counteract signal phase shifts caused by arc interference from 10kV fault lines. Phase pre-compensation is performed before error correction coding to reduce the bit error rate. The specific steps are as follows: Extract the average phase offset of subcarriers caused by arc interference in the current transmission frequency band from the channel state information; The highest priority fault data is generated into a bit stream, grouped into 4-bit groups, and constellation mapping is completed using QPSK modulation to obtain a complex value symbol input sequence. Perform phase rotation precoding on each complex numerical symbol, calculated as follows: ; In the formula, Indicates the first Each complex number symbol is pre-coded with phase check, and all complex number symbols pre-coded with phase check are combined into a complex number symbol output sequence; Represents the first complex numerical symbol input sequence. A complex number symbol; This represents the average phase offset of the subcarrier; The phase compensation rotation factor is used to cancel the phase offset introduced by electric field interference during channel transmission through pre-rotation. The phase check code is appended to the end of the pre-coded symbol sequence. The check code is the quantized value of the phase average of all symbols in the current sequence, which is used to verify the accuracy of phase compensation when the receiver decodes. Represents the imaginary unit; The bit stream that has completed phase check precoding, i.e., the complex numerical symbol output sequence, is output to the polar code error correction code. S332, polar code error correction coding is the second level of error correction protection for the highest priority data and the first level of error correction protection for the medium priority data. Its function is to utilize the strong error correction capability of polar codes to combat burst errors in faulty channels. The specific steps are as follows: The core parameters for configuring polar codes include code length. Fixed at 1024; information bit length The highest priority data is configured with 512 bits, and the medium priority data is configured with 768 bits; the frozen bits are fixed at all zeros, and the length is [length missing]. ; Based on the subcarrier signal-to-noise ratio in the channel state information, a Gaussian approximation algorithm is used to calculate the Barton parameters for each subchannel; all Barton parameters are then sorted in descending order, and the top-ranked parameters are selected. The subchannel position with the highest Parity parameter is used as the information bit, and the remaining positions are frozen bits; Fill the information bits with the bit stream of the phase-check pre-encoded bit stream or the bit stream of medium-priority fault data, and fill the freeze bits with all 0s to obtain the polarization input sequence. Encoding operations are performed based on the polarization kernel matrix, and the calculation formula is as follows: ; In the formula, This represents the polarization input sequence after polarization error correction coding, i.e., the polarization output sequence. Represents the polarization input sequence; Representing the kernel matrix Second Kronecker product; Represented as a polarization kernel matrix, This represents element-wise multiplication; A randomly generated 24-bit CRC cyclic redundancy check code is appended to the beginning of the information bit sequence to improve decoding accuracy when the receiver decodes the SCL serial cancellation list. The bit stream that has completed polar code error correction coding, i.e., the polar output sequence, is output to LDPC channel coding; S333 and LDPC channel coding serve as the final error correction protection barrier. Their function is to utilize the long-code parallel decoding advantage of LDPC codes to correct residual errors not repaired in previous stages, adapting to random and sudden error scenarios on 10kV fault lines. The specific steps are as follows: Configure differentiated LDPC code parameters, including the code length corresponding to the highest priority data. It has a 1944-bit code length, a half-rate, high redundancy, and strong error correction capability; the code length corresponding to medium priority data is... It is 1944 bits long, with a code rate of 2 / 3, balancing error correction capability and transmission efficiency; the code length corresponding to low-priority data is... It has a 648-bit bit rate, a 3 / 4 bit rate, low redundancy, and high transmission efficiency. Based on the configured code length and code rate, a sparse parity check matrix is ​​generated for each priority level. The generator matrix is ​​obtained by Gaussian elimination based on the parity-check matrix, where the two satisfy the following condition: , Represents the parity check matrix. Represents the generating matrix. Indicates transpose; The bitstream of complex numerical symbol output sequence, polarized output sequence, or low-priority fault data is used as the LDPC input sequence, and the encoding operation is performed based on the generator matrix. The calculation formula is as follows: ; In the formula, This represents the LDPC input sequence after LDPC channel coding, i.e., hierarchical error correction coding; Represents the LDPC input sequence; S34. Encapsulate the hierarchical error correction coding sequence into a standard data frame. The frame structure includes: synchronization header, priority identifier, phase check code, topology identifier bit, information bit, and CRC check code. S4. Input the fault type and channel status information into the phase conjugate cooperative arc interference cancellation unit to generate an anti-phase interference cancellation signal. S41. The phase conjugate cooperative arc interference cancellation unit is composed of a dedicated phase conjugate generator (PC-G100) with a phase conjugate degree ≥99.5%. This unit integrates a high-speed DSP, a 300-800kHz full-band D / A digital-to-analog converter module, a high-precision phase-locked loop and an amplitude calibrator. S42. Map the fault type to the built-in arc interference conjugate coding reference library to obtain the coding compensation coefficients corresponding to arc interference of different 10kV fault types, and adapt to the arc interference characteristics of different 10kV faults. Interference signal features are extracted from channel state information, and hierarchical coding processing is performed on the interference signal features to obtain an inverse phase conjugate baseband coded stream. The coding processing specifically includes: performing a 180° phase reversal on the phase of the interference signal features and superimposing coding compensation coefficients to ensure that the phase is precisely opposite to that of the 10kV arc interference; performing 16-bit PCM coding on the amplitude of the interference signal features to match the strong amplitude characteristics of the 10kV arc interference (50-70dBμV); and performing 32-bit frequency band mask coding on the frequency band of the interference signal features to precisely match the wideband characteristics of the 10kV arc interference (300-800kHz). Detect the frequency bands covered by arc interference on 512 subcarriers of a 10kV faulty line; Generate cancellation waveforms for frequency bands covered by electric arc interference based on anti-phase conjugate baseband coded streams; The cancellation waveform is converted into an analog domain signal by a 10MSps, 16-bit digital-to-analog converter, and then subjected to LC pre-filter and frequency band gating filter to obtain an anti-phase interference cancellation signal. This signal is then injected into the line after linearly combining with the modulation signal to achieve full-link coordinated anti-interference, including interference pre-cancellation at the transmitting end, coherent cancellation during line transmission, and secondary cancellation at the receiving end. S5. Aggregate all subcarriers in the candidate subcarrier resource pool at the transmitting end to obtain aggregated subcarriers, which are used to carry the modulation signal; Aggregation aims to maximize the use of available spectrum resources in interference environments, avoid disabling subcarriers, ensure communication link stability and transmission efficiency, and ultimately achieve a subcarrier utilization rate of ≥90% and an aggregation delay of ≤2ms. The candidate subcarrier resource pool is generated locally at the transmitting end and is used to carry faulty data on faulty lines; Perform a Fourier transform on the acquired subcarriers to obtain the signal-to-noise ratio (SNR) of each subcarrier, specifically: The entire frequency band from 300 to 800 kHz was continuously sampled at a sampling rate of 1 MSps. A 1024-point FFT frequency domain analysis was performed every 1 ms to obtain the interference intensity, signal-to-noise ratio, frequency offset and other characteristics of 512 effective subcarriers in batches. Based on the preset signal-to-noise ratio rules, subcarriers are divided into disabled subcarriers, available subcarriers, and high-quality, non-interference subcarriers; Among them, subcarriers with a signal-to-noise ratio (SNR) < 10dB are disabled, falling into the core coverage band of arc interference and are completely unusable; subcarriers with an SNR between 10-20dB are usable, with weak interference, and can be used in a downgraded manner; subcarriers with an SNR > 20dB are non-interference subcarriers, with no obvious arc interference, and should be used preferentially. Eliminate disabled subcarriers to form a candidate subcarrier set; Based on the channel level in the channel state information, the candidate subcarrier set is aggregated with different numbers of paths, specifically as follows: When the channel level is excellent, 256 candidate subcarriers are aggregated and modulated using 256QAM with a high coding rate of 4 / 5; when the channel level is medium, 128 candidate subcarriers are aggregated and modulated using 16QAM with a coding rate of 2 / 3; when the channel level is poor, 64 candidate subcarriers are aggregated and modulated using QPSK with a coding rate of 1 / 2. S6. Based on the preset modulation method, the hierarchical error correction code is mapped to the aggregated subcarrier to obtain the modulated signal; In this embodiment, the 10kV fault line channel is classified as excellent (impedance ≤100Ω, arc interference intensity ≤55dBμV). 128 high-quality, interference-free subcarriers (numbered 100-227, corresponding to the 300-800kHz to 320-456kHz sub-bands) are aggregated. After encoding the highest priority emergency power-off command, a hierarchical error correction code of 10240 bits is obtained. The specific mapping process is as follows: Step 1: Divide the 10240-bit serial bit stream into 1280 parallel bit groups of 8 bits each. Each group corresponds to one 256QAM modulation symbol. For example: Group 1: 01101010 (binary), Group 2: 10010111 (binary), ..., Group 1280: 00111100 (binary) Step 2: Using the 256QAM constellation diagram after calibrating with 10kV arc interference (constellation point offset ≤ ±0.05), map the 8-bit parallel bit group into complex values ​​(I / Q components). The specific mapping rule is: the first 4 bits represent the I path (in-phase component) and the last 4 bits represent the Q path (quadrature component). The value range of the I / Q components is [-15, 15]. For example: Group 1 01101010 → I=6, Q=10 → Complex value: 6+j10; Group 2 10010111→I=-7, Q=7→complex value:-7+j7; Step 3: Cyclicly distribute the 1280 groups of complex values ​​to 128 aggregated subcarriers. Each subcarrier carries 10 modulation symbols. For example: Subcarrier 100 (320kHz): carries the 1st to 10th groups of complex values, ..., Subcarrier 227 (456kHz): carries the 1271st to 1280th groups of complex values, while avoiding the use of disabled subcarriers. Step 4: Fill the complex values ​​of the 128 aggregated subcarriers into the corresponding positions of the 512-point inverse fast Fourier transform (fill the remaining 384 disabled subcarriers with 0), and obtain a time-domain sampling point with a length of 512. Step 5: Extract the last 64 sampling points of the inverse fast Fourier transform output and add them to the beginning of the time domain signal as a cyclic prefix. The final time domain signal with a length of 576 is obtained, which is the modulation signal, with a guard interval of 6.4μs. S7. The initial interference cancellation is achieved by linearly superimposing the anti-phase interference cancellation signal and the modulation signal using a combiner, resulting in a mixed signal. In the combiner, the anti-phase interference cancellation signal and the modulation signal are linearly superimposed. The anti-phase interference cancellation signal is superimposed on the subcarrier position corresponding to the interfered frequency band, and the modulation signal is carried on the aggregated non-interference subcarrier. The two are complementary and coexist in the frequency domain. The linearly combined signal is input into a power amplifier and amplified to a rated transmission power of 20dBm; The LC bandpass filter removes out-of-band harmonics and spurious components, achieving out-of-band suppression ≥50dB and harmonic distortion ≤1.2%. Output a mixed signal for injection into a 10kV faulty high-voltage line via a line coupling capacitor; S8. Inject the mixed signal into the 10kV fault high-voltage line, wherein the multi-source power supply relay unit is located on the fault high-voltage line; S9. Use the multi-source power relay unit to perform signal compensation on the mixed signal to obtain the compensated mixed signal; S91, the multi-source power supply relay unit includes a high-efficiency monocrystalline silicon solar main power supply module, a line induction power extraction backup module, a lithium iron phosphate battery energy storage backup module, and a dynamic signal compensation circuit. The high-efficiency monocrystalline silicon solar main power supply module, as the core main power supply module of the multi-source power supply relay unit, is responsible for providing a normalized and sustainable power supply to the relay node. When paired with a maximum power point tracking controller, it can maximize the capture of solar energy and convert it into electrical energy. It still has good power generation performance in low light environments and is suitable for common deployment scenarios of 10kV lines such as mountainous areas and outdoors. It is the primary energy source for the relay node when there is no external power supply, ensuring the basic operation of the equipment. The line inductive power backup module serves as a backup power supply module for the multi-source power supply relay unit. Its function is to provide continuous power to the equipment when the solar module cannot work normally (such as on cloudy or rainy days, at night, or in underground / enclosed deployment scenarios without sunlight). By coupling the 5-100A power frequency current of the 10kV line through the Rogowski coil, electromagnetic energy is converted into electrical energy, with an output power of ≥50mW, which can meet the basic power consumption of the relay node and form a power supply redundancy with the solar module, avoiding relay shutdown caused by the failure of a single power supply method. The lithium iron phosphate battery energy storage backup module serves as the ultimate energy storage backup module for the multi-source energy relay unit. Its function is to provide emergency continuous power to the equipment when both solar energy and line induction power modules are unable to provide power (such as line power outages or long-term lack of sunlight), thus providing the final guarantee for energy supply. The dynamic signal compensation circuit, as the core signal processing module of the multi-source power relay unit, is not a power supply module. Its function is to solve the signal attenuation problem in the long-distance transmission of 10kV fault lines and to achieve accurate signal amplification and compensation. S92. Obtain the real-time impedance of the line and the signal transmission distance, and calculate the phase compensation angle. The calculation method is as follows: ; ; This indicates the phase compensation angle, used to correct phase shifts that occur during 10kV line transmission. Indicates the angle value; Indicates the real-time impedance of the line; Indicates the signal transmission distance; This represents the impedance phase offset coefficient, which is taken as 0.5° / Ω in this embodiment; This represents the distance phase offset coefficient, which is taken as 0.5° / km in this embodiment; The compensation for the mixed signal is based on the phase compensation angle, and the calculation method is as follows: ; In the formula, Indicates the first The complex value of the mixed signal after compensation at each sampling point; This represents the dynamic gain coefficient, used to achieve a continuously adjustable compensation gain of 10-30dB. , This represents the target compensation gain, with a value range of 10 ≤ ≤30 directly determines the magnitude of the signal amplitude increase after compensation; Represents the amplitude compensation coefficient, where , This represents the impedance attenuation coefficient, suitable for 10kV line impedance ranges of 50-250 Ω. In this embodiment, it is taken as 0.002. This represents the distance attenuation coefficient, suitable for transmission distances of 0-30km for 10kV fault lines; in this embodiment, it is set to 0.008. Indicates the first The in-phase component of the mixed signal after compensation at each sampling point; S10. Input the compensated mixed signal into the phase conjugate enhancement receiving unit for secondary interference cancellation, and send the signal after secondary interference cancellation to the receiving end. The anti-phase interference cancellation signal and the modulated signal including the residual arc interference signal are separated from the compensated mixed signal; The separated modulation signal is amplified with low noise using a noise amplifier; The amplified modulation signal and the separated anti-phase interference cancellation signal are input into a time-domain coherent superposition unit. The residual arc interference signal is canceled out by taking advantage of the fact that the amplitude of the anti-phase interference cancellation signal and the residual arc interference signal in the amplified modulation signal are equal but the phase is opposite. Calculate the noise suppression rate of the signal after the current secondary interference cancellation; When the noise suppression rate is detected to be lower than the preset threshold, an adjustment command is fed back to the transmitter. The transmitter adjusts the parameters of the anti-phase interference cancellation signal based on the feedback command until the noise suppression rate of the signal after secondary interference cancellation reaches the preset threshold. S11. The receiving end receives and demodulates and decodes the signal after secondary interference cancellation to restore the fault data and complete the fault data transmission. The decoding chip at the receiving end performs differential demodulation based on the frequency band of the signal after secondary interference cancellation. Specifically, for high-priority data in the 300-500kHz band, phase-coordinated OFDM demodulation is used, which improves the demodulation signal-to-noise ratio by 8dB compared with the conventional method. For ordinary-priority data in the 500-800kHz band, conventional OFDM demodulation is used to complete subcarrier demapping, frequency domain equalization and cyclic prefix removal, and restore the encoded binary bit stream. The decoding chip at the receiving end performs the corresponding reverse decoding based on the encoding method selected during the encoding process. Specifically, for the highest priority, a complete three-level reverse decoding is performed in sequence: LDPC decoding, polar code decoding, and phase check decoding. For the medium priority, a two-level reverse decoding of LDPC decoding and polar code decoding is performed. For the normal priority, a one-level reverse decoding of LDPC decoding is performed. Perform full-frame integrity verification on the decoded faulty data and discard data frames that fail the verification. Based on the frame header identifier of the data frame, the fault data that has passed the verification is classified into emergency power-off / isolation control commands, fault location data, arc parameters, equipment damage status data and line routine monitoring data. In one specific embodiment, tower No. 87 in a certain area experienced a wire breakage fault due to a lightning strike, causing the conductor to fall to the ground. The fault point generated strong broadband arc interference (center frequency 550kHz, bandwidth 400kHz, intensity up to 65dBμV); the line impedance fluctuated drastically from the normal 50Ω to 180-220Ω, resulting in a power outage in the vicinity of the fault point. Please refer to [link / reference needed]. Figure 2 The waveform before the red line is the normal waveform, and the waveform after the red line is the fault waveform. The collected fault data includes emergency control commands (highest priority): disconnect the circuit breaker of tower No. 87 on the Xiafei line; fault arc parameters (medium priority): peak arc current 1.2kA, center frequency 550kHz; fault location data: fault point 3.2 km from the terminal; and routine monitoring data (low priority): line voltage and current drop curves. Input a pre-trained fault-channel cooperative sensing model and output the fault type as disconnection fault and channel status information including channel level as poor, impedance 198Ω, interference strength 65dBμV, and the interfered frequency band 350-750kHz. Based on the impedance value of 198Ω in the channel state information, the coding topology is switched from star to chain; differential coding is performed to obtain hierarchical error correction coding; The fault type of wire breakage is mapped to the built-in arc interference conjugate coding reference library to obtain the coding compensation coefficient (+0.2) for lightning-induced wire breakage arc. Interference features (phase +35°, amplitude 65dBμV, frequency band 350-750kHz) are extracted from the channel state information; the phase is reversed by 180° (-180°) and a compensation coefficient is superimposed to obtain -179.8°; the amplitude is encoded using 16-bit PCM, and the frequency band is encoded using 32-bit frequency band masking, locking the 350-750kHz range; based on the above processing, a cancellation waveform completely opposite to the fault arc is generated. After digital-to-analog conversion and filtering, an anti-phase interference cancellation signal is obtained. The waveform of the anti-phase interference cancellation signal can be found in [reference needed]. Figure 3 ; Based on the differential channel level, 64 high-quality subcarriers are aggregated; the hierarchical error correction coding is mapped onto the aggregated 64 subcarriers using QPSK modulation to generate a modulated signal; In the combiner, the modulated signal (carried in the frequency band around 800kHz) and the anti-phase interference cancellation signal (carried in the frequency band of 350-750kHz) are linearly superimposed; the anti-phase signal directly cancels out the strong arc interference in the line initially. The waveform after the initial cancellation can be found in [reference needed]. Figure 4 ; The arc interference intensity was reduced from 65 dBμV to 20 dBμV, and the two signals were mixed and injected into a 10kV line. The mixed signal was transmitted along a 25km line, with a multi-source power supply repeater unit at both the 10km and 20km marks. At the 20km mark, the multi-source power supply repeater unit detected a 28dB signal attenuation. Based on the current line impedance (210Ω) and transmission distance (20km), the phase compensation angle and dynamic gain coefficient were calculated to precisely amplify and compensate the mixed signal's phase. The compensated mixed signal was then input into a phase conjugate enhancement receiver unit for secondary interference cancellation. The waveform of the signal after secondary interference cancellation is shown in [reference needed]. Figure 5 ; The receiving end used phase-coordinated assisted OFDM demodulation to successfully demodulate the coded bit stream, reconstructing the emergency command "Disconnect the circuit breaker at tower 87 of the Xiafei Line" and precise fault location data. Please refer to the signal waveform diagram after interference elimination. Figure 6 The pink waveform represents the fault signal waveform, and the yellow waveform represents the signal waveform after interference is eliminated.

[0024] Example 2: This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements an anti-interference data transmission method for a 10kV fault high-voltage line as described in any one of Embodiment 1.

[0025] Example 3: This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements an anti-interference data transmission method for a 10kV fault high-voltage line as described in any one of Embodiment 1.

[0026] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0027] Those skilled in the art will recognize that the units and algorithm steps described in the embodiments disclosed herein can be implemented using electronic hardware, computer software, or a combination of electronic hardware and software. 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.

[0028] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0029] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0030] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for interference-free data transmission in a 10 kV fault high-voltage line, characterized by The method includes: Acquire fault data of a 10kV high-voltage line with superimposed high-frequency arc interference; input the fault data into a pre-trained fault-channel cooperative sensing model, and output fault type and channel state information; The fault data is hierarchically encoded based on the fault type and channel state information to obtain hierarchical error correction coding; the fault type and channel state information are input into the phase conjugate cooperative arc interference cancellation unit to generate an anti-phase interference cancellation signal. Subcarriers in the candidate subcarrier resource pool are aggregated to obtain aggregated subcarriers; hierarchical error correction coding is mapped to aggregated subcarriers to obtain modulated signals; anti-phase interference cancellation signals and modulated signals are linearly superimposed to obtain mixed signals; The mixed signal is compensated by a multi-source power relay unit to obtain a compensated mixed signal; the compensated mixed signal is then input into a phase conjugate enhancement receiver unit for secondary interference cancellation. The signal after secondary interference cancellation is demodulated and decoded to restore the fault data and complete the fault data transmission.

2. The anti-jamming data transmission method for 10 kV fault high-voltage line according to claim 1, characterized in that, The fault-channel cooperative sensing model comprises an input layer, a feature extraction layer, a task branching layer, and an output layer connected in sequence, wherein: The input layer is used to receive the fault data; The feature extraction layer is composed of at least two one-dimensional convolutional layers and gated recurrent units stacked together, and is used to extract deep temporal features reflecting the dynamic evolution characteristics of electric arcs from fault data; The task branching layer includes a parallel fault classification branch and a channel estimation branch; The fault classification branch includes a fully connected layer and a Softmax activation function, which is used to output the probability distribution of fault types based on deep temporal features; The channel estimation branch includes a fully connected layer and a linear activation function, which is used to output channel state information based on deep temporal features.

3. The anti-jamming data transmission method for 10 kV fault high voltage line according to claim 1, characterized in that, The fault data is hierarchically encoded based on fault type and channel state information. The specific steps are as follows: Fault data is prioritized based on preset priority rules; The current coding topology is switched based on the impedance value in the channel state information; The fault data is differentiated by the coding chip based on priority and coding topology. The highest priority fault data is encoded in three levels, including phase check precoding, polar code error correction coding and LDPC channel coding. The medium priority fault data is encoded in two levels, including polar code and LDPC coding. The low priority fault data is encoded in one level, including LDPC coding.

4. The anti-jamming data transmission method for 10 kV fault high voltage line according to claim 1, characterized in that, The fault type and channel state information are input into the phase conjugate coordinated arc interference cancellation unit to generate an anti-phase interference cancellation signal. The specific steps are as follows: The fault type is mapped to the arc interference conjugate coding reference library to obtain the coding compensation coefficient; The interference signal features of the channel state information are extracted, and the interference signal features are subjected to hierarchical coding processing to obtain an inverse phase conjugate baseband coded stream. The coding processing specifically includes: performing a 180° phase reversal on the interference signal and superimposing coding compensation coefficients; performing 16-bit PCM coding on the amplitude of the interference signal; and performing 32-bit frequency band mask coding on the frequency band of the interference signal. Obtain the interfered frequency band on the subcarrier; Generate the canceled waveform of the interfered frequency band based on the anti-phase conjugate baseband coded stream; The cancellation waveform is converted into an analog domain signal by a digital-to-analog converter, and then subjected to LC pre-filter and frequency band gating filter to obtain the anti-phase interference cancellation signal.

5. The anti-jamming data transmission method for 10 kV fault high voltage line according to claim 1, characterized in that, The specific steps for aggregating all subcarriers are as follows: Perform FFT analysis on the acquired subcarriers to obtain the signal-to-noise ratio of each subcarrier; Based on the preset signal-to-noise ratio rules, subcarriers are divided into disabled subcarriers, available subcarriers, and high-quality, interference-free subcarriers; disabled subcarriers are removed to form a candidate subcarrier set. Based on the channel level in the channel state information, the candidate subcarrier set is aggregated with different numbers of paths to obtain aggregated subcarriers.

6. The anti-interference data transmission method for a 10kV faulted high-voltage line according to claim 1, characterized in that, The specific steps for signal compensation of mixed signals using a multi-source power relay unit are as follows: Obtain the real-time impedance of the line and the signal transmission distance, and calculate the phase compensation angle; Compensation of mixed signals is performed based on phase compensation angle.

7. The anti-interference data transmission method for a 10kV faulted high-voltage line according to claim 1, characterized in that, The compensated mixed signal is input into the phase conjugate enhancement receiving unit for secondary interference cancellation. The specific steps are as follows: The anti-phase interference cancellation signal and the modulated signal including the residual arc interference signal are separated from the compensated mixed signal; The separated modulation signal is amplified with low noise using a noise amplifier; The amplified modulation signal and the separated anti-phase interference cancellation signal are input into a time-domain coherent superposition unit. The residual arc interference signal is canceled out by taking advantage of the fact that the amplitude of the anti-phase interference cancellation signal and the residual arc interference signal in the amplified modulation signal are equal but the phase is opposite. Calculate the noise suppression rate of the signal after the current secondary interference cancellation; When the noise suppression rate is detected to be lower than the preset threshold, an adjustment command is fed back to the transmitter. The transmitter adjusts the parameters of the anti-phase interference cancellation signal based on the feedback command until the noise suppression rate of the signal after secondary interference cancellation reaches the preset threshold.

8. The anti-interference data transmission method for a 10kV faulted high-voltage line according to claim 1, characterized in that, The receiving end receives and demodulates / decodes the signal after secondary interference cancellation. The specific steps are as follows: The decoding chip at the receiving end performs differential demodulation based on the frequency band of the signal after secondary interference cancellation; The decoding chip at the receiving end performs the corresponding reverse decoding based on the encoding method selected during the encoding process.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 8.

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