Monitoring method of high voltage cable with split structure

Abstract

This invention discloses a high-voltage cable monitoring method with a split structure, belonging to the field of cable monitoring technology. The method includes: acquiring the original monitoring signal of the high-voltage cable through sensors in a primary enclosure; transmitting the signal to a secondary enclosure and recording the communication distance; restoring the damaged signal using a signal restorer in the secondary enclosure; analyzing the cable's operational stability based on the restored signal sequence to obtain an initial stability level; compensating for the initial stability level using electromagnetic interference parameters in the primary enclosure to form a stability level range, which serves as the monitoring result for the high-voltage cable. This invention solves the technical problem of low accuracy, safety, and efficiency in traditional high-voltage cable monitoring methods that typically employ a centralized structure. It achieves remote and reliable monitoring and analysis of the high-voltage cable's operating status through a split structure design, thereby improving the accuracy, safety, and efficiency of high-voltage cable monitoring and maintenance.

Description

Technical Field

[0001] The invention relates to the technical field of cable monitoring, and in particular to a method for monitoring a high-voltage cable with a split structure. Background Art

[0002] In the operation and maintenance of high-voltage power cables, cable operation status monitoring is crucial. Traditional high-voltage cable monitoring methods usually adopt a centralized structure, that is, the high-voltage cable and monitoring equipment (such as sensors, signal processing units, etc.) are installed in the same box, and the sensors and monitoring equipment are directly connected to the high-voltage cable, resulting in high safety risks in maintenance and operation. In addition, power outages are required during the installation and maintenance process, which affects maintenance efficiency and power supply reliability, and increases maintenance costs. Summary of the invention

[0003] The present application provides a split-structure high-voltage cable monitoring method, which is used to solve the technical problem that the traditional high-voltage cable monitoring method in the prior art usually adopts a centralized structure and has low accuracy, safety and efficiency in monitoring and maintenance.

[0004] The first aspect of the present application provides a split-structure high-voltage cable monitoring method, the method comprising: monitoring and collecting an original cable monitoring signal sequence of the high-voltage cable in the primary box by means of a sensor disposed in the primary box; communicating the original cable monitoring signal sequence to the secondary box to obtain a transmission cable monitoring signal sequence, collecting the communication distance between the primary box and the secondary box, and restoring and generating the transmission cable monitoring signal sequence by means of a transmission signal restorer in the secondary box to obtain a restored cable monitoring signal sequence; performing a high-voltage cable operation stability analysis based on the restored cable monitoring signal sequence to obtain an initial stability level; collecting electromagnetic interference parameters in the primary box, compensating for the initial stability level, and obtaining a stability level interval as a high-voltage cable monitoring result.

[0005] According to a second aspect of the present application, an electronic device is provided, comprising: a processor, the processor being coupled to a memory, the memory being used to store a program, and when the program is executed by the processor, the system is enabled to execute the method described in the first aspect.

[0006] According to a third aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method of the first aspect is implemented.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The split-structure high-voltage cable monitoring method provided in the present application relates to the field of cable monitoring technology. The high-voltage cable signal is collected by a primary box sensor, and after being transmitted to a secondary box, the transmission loss is restored by a signal restorer. The cable operation stability is analyzed based on the restored signal to obtain the initial stability level, and the electromagnetic interference parameters are used to compensate to form a stability level interval, providing accurate high-voltage cable monitoring results. It solves the technical problems in the prior art that the traditional high-voltage cable monitoring method usually adopts a centralized structure, and the accuracy, safety and efficiency of monitoring and maintenance are low. The risk of direct contact between personnel and the high-voltage environment is avoided through the split structure design, and the transmission signal restorer and electromagnetic interference compensation effectively overcome the attenuation and interference of the signal during the transmission process, realizing more accurate cable status monitoring, and achieving the technical effect of improving the accuracy, safety and efficiency of high-voltage cable monitoring and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of a split-structure high-voltage cable monitoring method provided in an embodiment of the present application;

[0011] Figure 2 A schematic diagram of a process for compensating the initial stability level in a split-structure high-voltage cable monitoring method provided in an embodiment of the present application;

[0012] Figure 3 A structural schematic diagram of an electronic device is provided for the present application.

[0013] Explanation of the reference numerals: electronic device 300 , memory 301 , processor 302 , communication interface 303 , bus architecture 304 . DETAILED DESCRIPTION

[0014] The present application provides a split-structure high-voltage cable monitoring method, which is used to solve the technical problem that the traditional high-voltage cable monitoring method in the prior art usually adopts a centralized structure and has low accuracy, safety and efficiency in monitoring and maintenance.

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0016] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0017] Embodiment 1, as Figure 1 As shown, the present application provides a split-structure high-voltage cable monitoring method, the method is applied to a split-structure high-voltage cable monitoring device, the device includes a primary box and a secondary box that are separately arranged and communicatively connected, the method includes:

[0018] P10: The original cable monitoring signal sequence of the high-voltage cable in the primary box is monitored and collected by the sensor arranged in the primary box.

[0019] Furthermore, step P10 of the embodiment of the present application further includes:

[0020] P11: By means of sensors installed in the primary box, the metal sheath grounding current, metal sheath induced voltage and cable joint temperature of the high-voltage cable in the primary box are monitored and collected at multiple signal moments to obtain a metal sheath grounding current sequence, a metal sheath induced voltage sequence and a cable joint temperature sequence; P12: The metal sheath grounding current sequence, the metal sheath induced voltage sequence and the cable joint temperature sequence are integrated to obtain the original cable monitoring signal sequence.

[0021] It should be understood that the original monitoring signal sequence of the high-voltage cable is collected by the sensor arranged in the primary box, thereby obtaining a plurality of key data of the cable operation.

[0022] Specifically, the sensor set in the primary box not only monitors the basic electrical signals of the high-voltage cable, but also includes a variety of operating environment parameters at multiple signal moments, including: metal sheath grounding current, that is, the current flowing through the cable sheath in the grounded state, reflecting the grounding state of the cable and the current carrying capacity of the metal sheath. By measuring this current, it can be determined whether the sheath is in a normal grounding state and whether there is leakage or abnormal current flow in the cable. Metal sheath induced voltage, that is, the voltage induced on the metal sheath due to the magnetic field generated by the current carrier inside the cable. The magnitude of the induced voltage is closely related to the fluctuation of the current in the cable and the change of the environmental magnetic field. Therefore, monitoring the induced voltage can help analyze the electromagnetic interference and cable load during cable operation. Cable joint temperature, this temperature directly reflects the heat load of the cable at the connection, which is usually the place where the cable heat loss is large. High temperature often means that there may be risks such as poor contact and aging at the connection, so temperature monitoring helps to timely detect and prevent faults caused by overheating.

[0023] These monitoring parameters are collected at multiple signal moments to form multiple sets of data sequences reflecting different time points, namely, metal sheath grounding current sequence, metal sheath induced voltage sequence and cable joint temperature sequence. By establishing these sequences, the changing trends and characteristics of various parameters on the time axis can be further analyzed.

[0024] Furthermore, the metal sheath grounding current sequence, the metal sheath induced voltage sequence, and the cable joint temperature sequence are integrated to generate a complete original cable monitoring signal sequence. Exemplarily, data time alignment is first performed to ensure that the values ​​of each sequence at the same time point can be analyzed together, thereby accurately reflecting the various operating parameters of the cable at the same time. Then, data correlation is constructed to combine multiple monitoring data together to form a more comprehensive original cable monitoring signal sequence, which is convenient for subsequent transmission, restoration and analysis. This sequence includes the operating status of the high-voltage cable, the grounding condition of the cable, the thermal condition of the cable, and the temperature condition of the cable joint. The fused data is more comprehensive and can reflect the overall working environment and health status of the cable, thereby improving the comprehensiveness of the monitoring. During the integration process, in order to ensure the accuracy of the data, it may be necessary to perform pre-processing steps such as denoising, standardization, or de-biasing on the collected original signal.

[0025] Finally, the original cable monitoring signal sequence obtained will provide the basis for subsequent signal transmission, restoration and analysis. This signal sequence integrates various operating parameters of the cable and is an important basis for subsequent stability analysis, fault detection and predictive maintenance.

[0026] P20: Communicate and transmit the original cable monitoring signal sequence to the secondary box to obtain a transmission cable monitoring signal sequence, collect the communication distance between the primary box and the secondary box, and restore and generate the transmission cable monitoring signal sequence through the transmission signal restorer in the secondary box to obtain a restored cable monitoring signal sequence.

[0027] Furthermore, step P20 of the embodiment of the present application further includes:

[0028] P21: Obtain a transmission signal restorer; P22: Communicate and transmit the original cable monitoring signal sequence to the secondary box to obtain a transmission cable monitoring signal sequence; P23: Collect the communication distance between the primary box and the secondary box; P24: Input the transmission cable monitoring signal sequence and the communication distance into the transmission signal restorer to restore and generate a restored cable monitoring signal sequence.

[0029] Optionally, in long-distance transmission, the signal will inevitably attenuate, and the electromagnetic interference generated during the operation of the high-voltage cable will cause noise interference to the monitoring signal, affecting the accuracy of the data. Therefore, after the original cable monitoring signal sequence collected in the primary box is transmitted to the secondary box through communication, the signal quality needs to be restored through signal restoration technology.

[0030] Specifically, before starting signal transmission and restoration, a transmission signal restorer needs to be deployed in the secondary box. The transmission signal restorer is an intelligent device used to restore damaged signals. It can compensate and restore damaged signals during transmission through algorithms (such as generative adversarial networks, GANs). The restorer plays a key role in the transmission process, reducing signal loss and attenuation effects, and providing higher quality signal data for subsequent monitoring and analysis.

[0031] The original cable monitoring signal sequence collected by the sensor in the primary box is transmitted to the secondary box through the communication system. This original signal sequence contains multiple key parameters of the high-voltage cable, but due to the inevitable attenuation, loss or interference of the signal during long-distance transmission, the data integrity during the transmission process is put to the test. The goal of this step is to maintain the characteristics of the original signal as much as possible to ensure that the transmitted data can still accurately reflect the operating status of the cable.

[0032] In order to improve the accuracy of signal restoration, the system needs to record the communication distance between the primary box and the secondary box. The communication distance refers to the physical distance or path length of the signal transmission from the primary box to the secondary box, which directly affects the degree of signal attenuation. Longer communication distances often lead to a significant decrease in signal strength, thereby introducing more errors and losses. Therefore, collecting communication distance information can provide a key distance compensation basis for subsequent restoration processing.

[0033] The transmission cable monitoring signal sequence and the collected communication distance information after transmission are input into the transmission signal restorer. The transmission signal restorer calculates the attenuation degree of the signal during transmission based on the input signal sequence and distance parameters, and uses the restoration algorithm to compensate and restore the signal to generate a restored cable monitoring signal sequence. This restoration process is achieved through an intelligent restoration algorithm, which uses the communication distance to model the attenuation factors in the transmission signal sequence to restore a restored signal sequence that is as close to the original signal as possible. Through this step, the restored cable monitoring signal sequence can more realistically reflect the operating status of the high-voltage cable, providing accurate data support for subsequent stability analysis and fault prediction.

[0034] Furthermore, step P21 of the embodiment of the present application further includes:

[0035] P21-1: According to the cable monitoring signal transmission data in the historical time, collect the sample original cable monitoring signal sequence set, the sample communication distance set, and collect the sample transmission cable monitoring signal sequence set after transmission; P21-2: Based on the generative adversarial network, construct the generation path and the discrimination path in the transmission signal restorer; P21-3: Using the sample original cable monitoring signal sequence set, the sample communication distance set and the sample transmission cable monitoring signal sequence set, perform alternating supervised training on the generation path and the discrimination path until the training is completed to obtain the transmission signal restorer.

[0036] In a possible embodiment of the present application, in order to obtain an efficient and accurate transmission signal restorer, historical data and a generative adversarial network (GAN) are further used for training, so that the restorer can effectively compensate for the attenuation and loss of the signal during the transmission process, thereby ensuring the integrity of the data.

[0037] First, a set of sample original cable monitoring signal sequences, a set of sample communication distances, and a set of sample transmission cable monitoring signal sequences are collected in historical time. These sample data provide the necessary basis for the training of the transmission signal restorer. Among them, the set of sample original cable monitoring signal sequences represents the original signal sequence of the high-voltage cable before transmission, and contains complete and undamaged cable operation status information. The set of sample communication distances records the physical distance of the signal from the primary box to the secondary box. This parameter determines the degree of attenuation of the signal during transmission. The set of sample transmission cable monitoring signal sequences is the signal sequence actually received after transmission, and there is often a certain degree of distortion or loss. These sample sets are obtained through the accumulation of historical operation data, and can reflect the signal change characteristics under different communication distances and cable operation conditions.

[0038] Next, based on the architecture of the generative adversarial network (GAN), a generation path and a discriminant path are constructed in the transmission signal restorer. GAN is a machine learning model. Through the adversarial training of the generator and the discriminator, the generator continuously improves the quality of the generated data, while the discriminator is used to discriminate the difference between the generated data and the real data. In the present application, the generation path is responsible for generating a restored signal sequence close to the original signal. The goal of the generator is to generate a restored signal close to the original signal of the sample based on the input of the transmission signal sequence and the communication distance, thereby recovering the loss caused by the distance attenuation. The discriminant path is used to judge the difference between the generated signal and the real signal. The role of the discriminator is to compare the generated signal with the original signal sequence, thereby guiding the generator to generate data closer to the real signal. Through the collaboration of the generation path and the discriminant path, GAN can learn the attenuation pattern of the signal at different distances and improve the accuracy of the restored signal.

[0039] Furthermore, the generation path and the discrimination path are alternately supervised and trained using a set of sample original cable monitoring signal sequences, a set of sample communication distances, and a set of sample transmission cable monitoring signal sequences. The specific training process may be: the generator receives a sample transmission signal sequence and a sample communication distance as input, and generates a restored signal sequence. The discriminator compares the generated restored signal with the sample original signal sequence, determines its authenticity, and feeds it back to the generator. Through repeated adversarial training, the generator continuously improves the accuracy of the generated signal, making the generated signal closer to the original signal sequence. When the error between the generation path and the discrimination path reaches the set threshold, the training process stops, indicating that the transmission signal restorer has completed the training and can reliably restore the damaged transmission signal to its original state. Finally, after the GAN training process, the transmission signal restorer has the ability to handle different communication distances and signal losses. In this way, the restorer can generate a restored signal close to the real signal based on the transmission signal sequence and communication distance in actual operation, providing accurate data support for subsequent stability analysis and monitoring of high-voltage cables.

[0040] P30: According to the recovery cable monitoring signal sequence, the high-voltage cable operation stability analysis is performed to obtain an initial stability level.

[0041] Furthermore, step P30 of the embodiment of the present application further includes:

[0042] P31: Obtain a high-voltage cable stability analyzer; P32: Input the restored cable monitoring signal sequence into the high-voltage cable stability analyzer, and output an initial stability level.

[0043] Optionally, the stability analysis of the high-voltage cable operation is performed based on the restored cable monitoring signal sequence to obtain the initial stability level of the cable. That is, the operation status of the cable is comprehensively evaluated through the restored signal, providing an important basis for subsequent fault diagnosis and risk management.

[0044] Specifically, first, deploy a high-voltage cable stability analyzer. This is a specially designed analysis module responsible for comprehensive stability analysis of the cable's recovery monitoring signal. High-voltage cable stability analyzers are usually based on intelligent algorithms, such as machine learning models or signal processing algorithms, which can comprehensively evaluate the multi-dimensional signal characteristics of high-voltage cables and identify abnormal characteristics or potential fault risks during cable operation.

[0045] Further, the restored cable monitoring signal sequence is input into the high-voltage cable stability analyzer. The restored signal sequence has been restored to data as close to the real state as possible in step P20, so the cable operation information it reflects is more accurate and reliable. Based on this signal sequence, the high-voltage cable stability analyzer performs stability analysis from the following aspects: for example, analyzing the stability of current and voltage, and analyzing the fluctuation of sheath grounding current and induced voltage. Stable current and voltage signals indicate that the cable is in good operating condition, while significant fluctuations may mean that the cable load fluctuates greatly or there is a potential fault. Analyze temperature stability and evaluate the trend of cable joint temperature. If the joint temperature is too high or fluctuates greatly, it may indicate that there are problems such as poor heat dissipation or poor contact at the connection. Comprehensive analysis of multiple indicators, through comprehensive evaluation of multiple indicators of grounding current, induced voltage and joint temperature, the overall stability of cable operation is obtained. The result output by the analyzer is the initial stability level, which is a preliminary assessment of the current operating status of the high-voltage cable. This level is usually divided into multiple levels, such as "stable", "fluctuating" or "high risk", so that corresponding maintenance or monitoring adjustments can be made according to the actual status of the cable.

[0046] Through the analysis of the high-voltage cable stability analyzer, the initial stability level provides data support for subsequent compensation calculations and overall evaluation, which helps to improve monitoring accuracy and the safety of cable operation.

[0047] Furthermore, step P31 of the embodiment of the present application further includes:

[0048] P31-1: Based on the operation monitoring data of the high-voltage cable, a set of sample cable monitoring signal sequences is collected, and the operation stability levels of the high-voltage cables under different sample cable monitoring signal sequences are assigned values ​​to obtain a set of sample stability levels; P31-2: Using the sample cable monitoring signal sequence set and the sample stability level set, a high-voltage cable stability analyzer is trained through supervised training.

[0049] Specifically, in order to construct an accurate high-voltage cable stability analyzer, this embodiment collects a large amount of sample data and performs supervised training on it, thereby forming an analysis model that can effectively analyze the cable operation stability.

[0050] First, based on the historical operation monitoring data of high-voltage cables, a set of sample cable monitoring signal sequences are collected. These sample signal sequences cover the monitoring data of cables under various operating conditions, including key parameters such as metal sheath grounding current, induced voltage, and joint temperature. These data sequences not only reflect the operating status of the cable under different conditions, but also capture the characteristic signals of the cable in abnormal state or before potential failure.

[0051] Subsequently, different sample cable monitoring signal sequences are assigned values ​​according to their actual operating conditions to form a set of sample stability levels. For example, the stability levels can be divided into "stable", "fluctuating" or "high risk" levels. By marking these levels, clear classification targets can be provided for training. These level labels indicate the cable operating status of each sample data sequence, providing a reference for the analyzer to learn the relationship between different signal patterns and stability levels.

[0052] Next, the set of sample cable monitoring signal sequences and the set of sample stability levels are input into the supervised learning model to train the high-voltage cable stability analyzer. The supervised training process is as follows: First, the input feature extraction is performed. The model extracts and processes the multidimensional features (such as current, induced voltage, and temperature) in the sample cable monitoring signal sequence to identify the characteristic pattern of each signal sequence. Then, the model continuously learns and adjusts internal parameters through multiple iterative training so that it can accurately map the characteristic signal sequence to the corresponding stability level. During the training process, the understanding of the relationship between the signal pattern and the stability level is gradually improved, and the operating status of the new data can be predicted more accurately. After the training is completed, the model is tested and optimized to ensure that the high-voltage cable stability analyzer can accurately evaluate the operating stability of the cable.

[0053] Finally, the high-voltage cable stability analyzer obtained through supervised training has the ability to analyze and predict cable stability. In practical applications, the analyzer can input the real-time restored monitoring signal sequence into it to quickly obtain the initial stability level of the cable, providing reliable data support for real-time monitoring of the operating status and risk warning. This training process enables the analyzer to adapt to the cable signal mode under various actual operating conditions, further improving the accuracy of monitoring and the reliability of analysis.

[0054] P40: Collect the electromagnetic interference parameters in the primary box, compensate the initial stability level, and obtain the stability level range as the high-voltage cable monitoring result.

[0055] Further, such as Figure 2 As shown, step P40 of the embodiment of the present application also includes:

[0056] P41: Collect the operating parameters of the high-voltage cable in the primary box, perform electromagnetic interference analysis, and obtain electromagnetic interference parameters, wherein the electromagnetic interference parameters include the signal-noise influence ratio; P42: Perform compensation calculation on the initial stability level according to the signal-noise influence ratio within the electromagnetic interference parameters, and obtain the stability level interval as the high-voltage cable monitoring result.

[0057] It should be understood that by collecting the electromagnetic interference parameters in the primary box, the initial stability level is compensated for electromagnetic interference to obtain a more accurate stability level range as the monitoring result of the high-voltage cable.

[0058] First, the key operating parameters of the high-voltage cable are collected from the primary box. These parameters can reflect the electromagnetic environment in which the cable is actually operating. By analyzing the operating parameters, the electromagnetic interference level of the cable under different conditions can be identified, thereby obtaining the corresponding electromagnetic interference parameters. Among them, the core of the electromagnetic interference parameter lies in the signal-to-noise influence ratio, that is, the degree of influence of the noise introduced by electromagnetic interference on the monitoring signal during operation. The noise ratio can quantify the interference intensity of electromagnetic interference on the signal, providing a key basis for subsequent compensation calculations.

[0059] Next, the initial stability level is compensated according to the signal-to-noise impact ratio in the electromagnetic interference parameters. The core of the compensation calculation is to adjust the initial level value within a certain range according to the noise impact ratio to form a stability level interval, which more truly reflects the actual state of the cable. The exemplary specific compensation process is as follows:

[0060] Assume that the initial stability level is L and the noise impact ratio is 30%. Use the formula L×(1±30%) to calculate, that is, multiply the initial level by 1 and add or subtract the noise impact ratio to obtain the stability level range that fluctuates up and down. For example, if the initial stability level is 70 and the noise impact ratio is 30%, the stability level range is 49 to 91, that is, 70×(1±0.3).

[0061] Through such compensation calculation, the interference that the cable may be subjected to in the electromagnetic environment can be effectively taken into account, so that the obtained stability level range is closer to the actual operation situation. In this way, the stability level range as the monitoring result of the high-voltage cable will provide maintenance personnel with a more comprehensive cable status assessment, facilitate effective safety monitoring and timely fault warning, and significantly improve the accuracy and practicality of the monitoring results.

[0062] Furthermore, step P41 of the embodiment of the present application further includes:

[0063] P41-1: Collect the current and voltage of the high-voltage cable in the primary box as operating parameters; P41-2: According to the electromagnetic interference test data of the high-voltage cable, collect a set of sample operating parameters, and collect the amplitude of the signal-to-noise ratio change affected by the cable monitoring signal under different sample operating parameters as a set of sample noise impact ratios; P41-3: Use the sample operating parameter set and the sample noise impact ratio set to construct an electromagnetic interference classifier; P41-4: Input the operating parameters into the electromagnetic interference classifier, classify and obtain the noise impact ratio as the electromagnetic interference parameter.

[0064] Optionally, in order to obtain electromagnetic interference parameters more accurately, this embodiment collects operating parameters of the high-voltage cable and uses an electromagnetic interference classifier to analyze the noise impact ratio of the signal, thereby providing a basis for compensating the stability level.

[0065] First, collect the current and voltage of the high-voltage cable in the box as operating parameters. Current and voltage are key operating parameters of the cable. They not only directly affect the electromagnetic environment of the cable, but also fluctuate with changes in load and operating status. Different current and voltage combinations will cause changes in the electromagnetic field around the cable, thereby introducing different degrees of noise interference.

[0066] Next, based on the electromagnetic interference test data of the high-voltage cable, a series of sample operating parameter sets are collected. These sample parameters cover the key parameters of the cable under different operating conditions, such as current and voltage, and record the corresponding signal-to-noise ratio change amplitude of the cable monitoring signal affected by electromagnetic interference. Signal-to-noise ratio (SNR) is an important indicator for measuring signal quality, which represents the ratio of signal power to noise power. In this case, the focus is on the signal-to-noise ratio decrease caused by electromagnetic interference, that is, the noise impact ratio. This ratio quantifies the degree of interference of the signal under different current and voltage conditions, and provides data support for the electromagnetic interference characteristics of the cable. These signal-to-noise ratio change amplitudes are used as sample noise impact ratio sets for subsequent electromagnetic interference classifier training.

[0067] Next, an electromagnetic interference classifier is constructed based on the sample operating parameter set and the sample noise impact ratio set. The electromagnetic interference classifier is a model based on machine learning, which can learn the relationship between different operating parameters and noise impact ratios through training. Exemplarily, the training process can be: first, the sample operating parameter set is used as the input feature, and the corresponding sample noise impact ratio is used as the output label. Through supervised training, the classifier learns how to predict the noise impact ratio caused by electromagnetic interference from the operating parameters. Through multiple iterative training, the classifier gradually learns the nonlinear relationship between the operating parameters and the noise impact, and can accurately predict the interference of the signal under the new operating parameters, ensuring that the electromagnetic interference level of the cable can be quickly identified during the actual monitoring process.

[0068] Finally, the currently collected operating parameters (current and voltage) are input into the electromagnetic interference classifier, which analyzes the current electromagnetic environment of the cable according to the learned pattern and outputs the noise impact ratio. This ratio is used as the electromagnetic interference parameter for subsequent compensation calculation of the initial stability level, making the final monitoring result more accurate.

[0069] Through this method, accurate electromagnetic interference parameters can be obtained dynamically according to the actual operating status of the cable, providing reliable support for the monitoring of high-voltage cables. The application of the classifier enables the system to quickly and accurately predict the noise impact under different operating conditions, improving the accuracy and practicality of cable stability analysis.

[0070] In summary, the embodiments of the present application have at least the following technical effects:

[0071] The present application collects the original monitoring signal of the high-voltage cable through the sensor in the primary box, transmits the signal to the secondary box and records the communication distance. The transmission signal restorer in the secondary box restores the damaged signal, and analyzes the cable operation stability based on the restored signal sequence to obtain the initial stability level. The initial stability level is compensated by the electromagnetic interference parameters in the primary box to form a stability level range as the monitoring result of the high-voltage cable.

[0072] The technical effect of achieving remote and reliable monitoring and analysis of the operating status of high-voltage cables through split structure design and improving the accuracy, safety and efficiency of high-voltage cable monitoring and maintenance has been achieved.

[0073] Embodiment 2, based on the same inventive concept as the split-structure high-voltage cable monitoring method in the aforementioned embodiment, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method in embodiment 1 is implemented.

[0074] Through the detailed description of the split-structure high-voltage cable monitoring method in the above specification, those skilled in the art can clearly understand the split-structure high-voltage cable monitoring method and system in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0075] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0076] Exemplary electronic devices, referenced below Figure 3 To describe the electronic device of the embodiment of the present application.

[0077] Based on the same inventive concept as the split-structure high-voltage cable monitoring method in the aforementioned embodiment, the present application also provides a split-structure high-voltage cable monitoring system, including: a processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system executes the steps of the method described in Example 1.

[0078] The electronic device 300 includes: a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. The communication interface 303, the processor 302, and the memory 301 may be interconnected via the bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0079] The processor 302 may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the present application.

[0080] The communication interface 303 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), wired access networks, etc.

[0081] The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may exist independently and be connected to the processor via the bus architecture 304. The memory may also be integrated with the processor.

[0082] The memory 301 is used to store computer execution instructions for executing the solution of the present application, and the execution is controlled by the processor 302. The processor 302 is used to execute the computer execution instructions stored in the memory 301, thereby realizing the split-structure high-voltage cable monitoring method provided in the above embodiment of the present application.

[0083] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0084] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0085] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A split-structure high-voltage cable monitoring method, characterized in that: The method is applied to a split-structure high-voltage cable monitoring device, the device comprising a primary box and a secondary box which are separately arranged and communicatively connected, and the method comprises: Monitoring and collecting the original cable monitoring signal sequence of the high-voltage cable in the primary box through the sensor arranged in the primary box; The original cable monitoring signal sequence is transmitted to the secondary box to obtain a transmission cable monitoring signal sequence, the communication distance between the primary box and the secondary box is collected, and the transmission cable monitoring signal sequence is restored and generated by a transmission signal restorer in the secondary box to obtain a restored cable monitoring signal sequence; According to the recovery cable monitoring signal sequence, a high-voltage cable operation stability analysis is performed to obtain an initial stability level; The electromagnetic interference parameters in the primary box are collected, the initial stability level is compensated, and the stability level interval is obtained as the high-voltage cable monitoring result.

2. The method for monitoring a high-voltage cable with a split structure according to claim 1, characterized in that: The original cable monitoring signal sequence of the high-voltage cable in the primary box is monitored and collected by a sensor arranged in the primary box, including: By means of sensors arranged in the primary box, the metal sheath grounding current, metal sheath induced voltage and cable joint temperature of the high-voltage cable in the primary box are monitored and collected at multiple signal moments, so as to obtain a metal sheath grounding current sequence, a metal sheath induced voltage sequence and a cable joint temperature sequence; The metal sheath grounding current sequence, the metal sheath induced voltage sequence and the cable joint temperature sequence are integrated to obtain an original cable monitoring signal sequence.

3. The method for monitoring a high-voltage cable with a split structure according to claim 1, characterized in that: The original cable monitoring signal sequence is transmitted to the secondary box via communication to obtain a transmission cable monitoring signal sequence, and the transmission cable monitoring signal sequence is restored and generated by a signal restorer in the secondary box, including: Obtain a transmission signal restorer; Communicating the original cable monitoring signal sequence to the secondary box to obtain a transmission cable monitoring signal sequence; Collecting the communication distance between the primary box and the secondary box; The transmission cable monitoring signal sequence and the communication distance are input into the transmission signal restorer, and the restored cable monitoring signal sequence is generated and obtained.

4. The method for monitoring a high-voltage cable with a split structure according to claim 3, characterized in that: Get the transmission signal restorer, including: According to the cable monitoring signal transmission data in the historical time, a sample original cable monitoring signal sequence set and a sample communication distance set are collected, and a sample transmission cable monitoring signal sequence set after transmission is collected; Based on a generative adversarial network, construct a generation path and a discrimination path in the transmission signal restorer; The sample original cable monitoring signal sequence set, the sample communication distance set and the sample transmission cable monitoring signal sequence set are used to perform alternate supervised training on the generation path and the discrimination path until the training is completed to obtain a transmission signal restorer.

5. The method for monitoring a high-voltage cable with a split structure according to claim 1, characterized in that: According to the recovery cable monitoring signal sequence, the high voltage cable operation stability analysis is performed to obtain the initial stability level, including: Get a high voltage cable stability analyzer; The restored cable monitoring signal sequence is input into the high voltage cable stability analyzer, and the output obtains the initial stability level.

6. The method for monitoring a high-voltage cable with a split structure according to claim 5, characterized in that: Get the High Voltage Cable Stability Analyzer, including: According to the operation monitoring data of the high-voltage cable, a set of sample cable monitoring signal sequences is collected, and the operation stability levels of the high-voltage cable under different sample cable monitoring signal sequences are assigned values ​​to obtain a set of sample stability levels; The sample cable monitoring signal sequence set and the sample stability level set are used to train and obtain a high-voltage cable stability analyzer through supervised training.

7. The method for monitoring a high-voltage cable with a split structure according to claim 1, characterized in that: Collecting electromagnetic interference parameters in the primary box, compensating the initial stability level, and obtaining a stability level range, including: Collecting the operating parameters of the high-voltage cable in the primary box, performing electromagnetic interference analysis, and obtaining electromagnetic interference parameters, wherein the electromagnetic interference parameters include the signal-to-noise influence ratio; According to the signal-to-noise influence ratio within the electromagnetic interference parameter, a compensation calculation is performed on the initial stability level to obtain a stability level interval as a high-voltage cable monitoring result.

8. The method for monitoring a high-voltage cable with a split structure according to claim 7, characterized in that: Collect the operating parameters of the high-voltage cable in the primary box, perform electromagnetic interference analysis, and obtain electromagnetic interference parameters, including: Collecting the current and voltage of the high-voltage cable in the primary box as operating parameters; According to the electromagnetic interference test data of the high-voltage cable, a set of sample operation parameters is collected, and the amplitude of the signal-to-noise ratio change of the cable monitoring signal affected by different sample operation parameters is collected as a set of sample noise impact ratios; Using the sample operation parameter set and the sample noise impact ratio set, construct an electromagnetic interference classifier; The operating parameters are input into the electromagnetic interference classifier, and the noise impact ratio is obtained by classification as the electromagnetic interference parameter.

9. An electronic device, characterized in that: include: A processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system is enabled to perform the steps of the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method steps of any one of claims 1 to 8 are implemented.

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