2262 results about "High-voltage cable" patented technology

The invention provides a high-voltage cable partial discharge identification and positioning method, and relates to the technical field of high-voltage cable diagnosis, and the method comprises the steps: collecting partial discharge pulse signals through high-frequency current transformers disposed at two ends of a high-voltage cable; carrying out noise reduction processing on the acquired partial discharge pulse signal by using an adaptive multi-scale wavelet decomposition and reconstruction method to obtain a partial discharge characteristic signal after noise reduction; inputting the partial discharge characteristic signal into a pre-trained lightweight residual attention network for identification and classification, and outputting a discharge type discrimination result, discharge intensity and characteristic parameters; and based on the discharge type discrimination result, the discharge intensity and the characteristic parameters, a self-correction double-end positioning algorithm is adopted to position the discharge source, and the position of the discharge source is calculated. According to the invention, the technical problems of unsatisfactory signal noise reduction effect, low discharge type identification accuracy, unstable positioning precision and the like in the prior art can be solved, so that high-precision identification and positioning of partial discharge of the high-voltage cable are realized.

An apparatus for facilitating the landing and takeoff of electric vertical takeoff and landing aircraft (EVTOL) can comprise a moveable landing platform, a moveable charging assembly comprising a high voltage cable adapted for electrical, magnetic induction positioned within a vertically moveable column having a magnetic plate and multiple access connections, and weight sensors positioned on the landing platform. The weight sensors are operatively connected to the charging assembly such that when the sensors detect the landing of an EVTOL on the platform, the sensors trigger the charging assembly to rise up to contact the EVTOL and begin charging the EVTOL.

The invention relates to the technical field of cable partial discharge detection and diagnosis, provides a high-voltage cable multi-parameter intelligent diagnosis method, system and equipment and a storage medium, and aims to solve the problems of low accuracy and poor reliability of high-voltage cable multi-parameter diagnosis caused by multiple factors. The method comprises the following steps: decomposing a partial discharge signal after interference filtering, extracting a time domain amplitude change rate and an energy distribution parameter, and generating a multi-dimensional time-frequency domain feature vector; calibrating a multi-dimensional time-frequency domain feature vector, carrying out nonlinear manifold mapping, generating a low-dimensional feature vector matched with dielectric spectrum characteristics, matching a partial discharge type with the highest similarity with an identification result, judging an insulation degradation level in combination with a final loss threshold interval, and generating a comprehensive diagnosis report. According to the invention, the ultrahigh-frequency sensor array captures the partial discharge signal matched with the dielectric spectrum, precise identification of the discharge type and dynamic evaluation of the insulation degradation level are realized through multi-scale analysis and deep learning fusion, and the reliability of high-voltage cable diagnosis is improved.

The invention relates to the field of cable fault identification, in particular to a high-voltage cable fault identification method for on-line monitoring of sheath current, which comprises the following steps of: firstly, monitoring in real time through a sheath current sensor, a fault traveling wave collector and a cable temperature sensor at key positions along a line, collecting cable line parameters, analyzing normal operation data, and determining the fault of a high-voltage cable according to the normal operation data; establishing a sheath current and temperature characteristic model, calculating the sheath current in real time and comparing the model, if the sheath current exceeds a threshold value, preliminarily judging a fault, and then calculating a fault area through traveling waves; temperature change data are obtained in a fault area, and an average temperature highest point area is found through calculation to accurately calibrate a fault position. According to the method, cable operation conditions are comprehensively mastered by multiple means, faults can be found in time, fault areas and positions can be accurately determined, fault types can be accurately judged according to multi-aspect information, the accuracy and timeliness of high-voltage cable fault recognition are effectively improved, safe and stable operation of a power system is powerfully guaranteed, and the working efficiency is improved. The operation and maintenance cost is reduced; and the cable management level is improved.

The invention discloses a high-voltage cable distributed continuous monitoring big data analysis processing method, and relates to the technical field of high-voltage cable operation monitoring and fault early warning. Calculating a partial discharge pulse average value, a current harmonic component and a voltage fluctuation amplitude in sequence by combining a temperature change rate and the like; calculating a predicted temperature influence index according to the temperature change rate, the temperature data and the operation state data, sequentially calculating a predicted partial discharge influence index, a predicted current influence index and a predicted voltage influence index in combination with the predicted temperature influence index, and calculating an operation basic index according to the basic parameter data; and finally, calculating a cable operation risk index according to the operation basic index and the predicted voltage influence index, setting a risk index threshold set, judging whether to trigger early warning or not according to a comparison result, and generating an adjustment instruction and a risk assessment report so as to guarantee safe operation of the high-voltage cable.

Disclosed in the present invention are a dual-end monitoring-based partial discharge source localization method and system for high-frequency partial discharge of a high-voltage cable. The method comprises: acquiring operation data and phase velocity test data of a high-voltage cable; when a partial discharge fault occurs in the high-voltage cable, collecting partial discharge signals on two sides of the high-voltage cable by means of sensors on the two sides of the high-voltage cable; performing Fourier transform respectively on the basis of the partial discharge signals on the two sides to obtain amplitude-frequency characteristics of the partial discharge signals, and preprocessing the collected partial discharge signals on the basis of the amplitude-frequency characteristics to optimize and improve a phase difference algorithm; and by incorporating the phase velocity test data of the high-voltage cable, using the improved phase difference algorithm to perform partial discharge source localization on the faulty cable. In the present invention, dual-end monitoring is used to reduce the attenuation of signals caused by long-distance transmission, and synchronization of two sensors is performed using a PTP protocol, effectively reducing errors; and in addition, during monitoring, partial discharge source localization is performed using the improved phase difference algorithm, which is conducive to resisting external interference, and there is no need to determine the time of arrival, greatly improving the positioning accuracy.

The invention relates to a shielding material for a high-voltage cable, in particular to a semiconductor shielding material, a semiconductor shielding layer and a preparation method of the semiconductor shielding layer. According to the invention, a certain amount of modified carbon nanotubes are added on the basis of the raw materials of the existing polymer semiconductor shielding layer added with carbon black, and the modified carbon nanotubes are used for replacing part of carbon black, so that the polymer semiconductor shielding layer with good conductivity and high interface smoothness is prepared. The surface of the modified carbon nanotube is grafted with organic silicon and a polar ethylene polymer, so that the dispersity of the modified carbon nanotube in a polymer semiconductor shielding material system and the compatibility of the modified carbon nanotube with the resin surface are improved; the viscosity of a polymer semiconductor shielding material system under high shear strength is greatly reduced, so that the flowability of the system is greatly improved; the semi-conductive shielding material which is suitable for HV and EHV cables and has super smoothness and strong conductivity is obtained.

The invention discloses a high-voltage cable test detection device, and belongs to the technical field of cable detection, the high-voltage cable test detection device comprises a test board, a clamping guide assembly is arranged in the center of the top of the test board, fixing rings capable of freely moving are arranged on the two sides of the clamping guide assembly, and a feed assembly is arranged on one side of each fixing ring. According to the device, by arranging a conversion cutter collecting assembly, a trigger ball can move under the pressure of an insulating layer, the trigger ball drives a clamping groove to move through a moving rod, a laminating wheel and a sliding block, so that the clamping groove is separated from a sliding disc, then the sliding disc is driven by a third spring to move upwards, and the sliding disc drives a mounting frame to move; the mounting frame drives the connecting rod to move, the connecting rod drives the cutter to retract, and the cutter is prevented from cutting an internal metal piece, so that the safety and accuracy of insulating layer stripping are improved, damage to a high-voltage cable is avoided, and the accuracy of a test result is improved.

The invention discloses a comprehensive online monitoring system for a high-voltage cable of an electrified railway, and particularly relates to the technical field of cable monitoring. The clustering analysis module divides similar groups based on factory and use environment data; the prediction mode selection module evaluates the stability and nonlinearity degree of the environmental data, and selects an optimal prediction method to predict the environmental data; the threshold value judgment module selects a fixed or dynamic threshold value to judge a fault through comparison with similar group data; the dynamic adjustment module optimizes a fault threshold based on historical data and improves the detection precision; the alarm module triggers early warning when the monitoring data exceed a threshold value; according to the method, the operation mode of the cable is accurately matched, the monitoring precision is improved, misjudgment caused by a single data source is avoided, it is ensured that the optimal prediction method is always used under different environmental conditions, the prediction precision of future environmental data is improved, and reliable support is provided for fault judgment.

The invention relates to the field of high-voltage cable fault diagnosis, and discloses a high-voltage cable insulation fault intelligent diagnosis method and system based on multi-information fusion, and the method comprises the following steps: S1, obtaining the operation multi-source data of a high-voltage cable, and constructing a multi-source original data matrix; s2, preprocessing to obtain a time-space aligned standardized data matrix; s3, performing feature extraction to obtain a multi-dimensional feature vector, and learning internal association between features by using a multi-modal deep network to obtain a joint multi-modal feature; s4, constructing a fault type identification model based on Bayesian reasoning and Monte Carlo sampling, and obtaining a fault type classification result; s5, in combination with deep learning and a physical model, obtaining a fault occurrence interval, positioning information and a fault level; and S6, based on a fault type classification result, a fault occurrence interval and positioning information, obtaining a fault level, and carrying out early warning pushing on a generated diagnosis report. According to the invention, high-precision identification, positioning and risk assessment of high-voltage cable insulation faults are realized.

The invention relates to the field of cable monitoring, in particular to a high-voltage cable running state comprehensive monitoring method based on a TMR magnetic sensor. According to the method, firstly, a TMR magnetic sensor is adopted to collect sheath current and partial discharge pulse signals of a cable joint grounding wire, then amplification, filtering and AD change are carried out, Fourier transform is carried out, and low-frequency signals and high-frequency signals are separated out; carrying out frequency spectrum analysis on the high-frequency signal, preliminarily judging whether a discharge defect exists or not, carrying out Fourier inversion on the low-frequency signal, evaluating a grounding state and an insulation health state of a cable sheath, carrying out Fourier inversion on the high-frequency signal, and carrying out partial discharge fault type analysis in combination with a time domain partial discharge pulse signal and a power frequency current phase; and finally, comprehensively evaluating the operation state of the high-voltage cable by analyzing the grounding current of the sheath and the related parameters of partial discharge. According to the invention, the hardware cost is reduced, the system design and installation complexity is simplified, and the accuracy of partial discharge fault type identification is improved.

The invention relates to a high-voltage cable intelligent inspection method and system based on multimode identification, and the method comprises the steps: deploying an intelligent identifier and cable monitoring equipment according to the equipment characteristics and environmental conditions in a high-voltage cable line; reading identification data of the intelligent identification through a double-frequency reading device, and collecting cable state monitoring data through a cable monitoring device; the information is uploaded to the Internet of Things cloud platform; carrying out fusion analysis on the received data in the cloud platform, evaluating the health condition of the cable in combination with a historical record and a fault recognition model, and generating an inspection result; and displaying the inspection result through the intelligent monitoring center, calculating the risk score of each device according to the identification data, the cable state monitoring data and the fault risk prediction result, and dynamically adjusting the optimal inspection route and the inspection frequency. Compared with the prior art, unique identification and multi-dimensional information storage of the cable and accessory equipment of the cable are achieved, and the fineness and comprehensiveness of cable operation state monitoring are improved.

The invention discloses a high-voltage cable operation state on-line monitoring, intelligent early warning and fault positioning system, particularly relates to the technical field of power equipment insulation monitoring, and is used for solving the problems that transient discharge signals generated in the cable insulation degradation process are difficult to effectively capture and accurate fault positioning cannot be realized in the prior art. The method comprises the following steps: collecting transient leakage current signals and traveling wave propagation characteristic parameters, performing phase correlation analysis on leakage current pulses and power frequency voltage to identify discharge types, and performing variational mode decomposition and Hilbert-Huang transform on the signals to respectively extract complexity characteristics and energy distribution characteristics; signal logic conflicts are judged by analyzing similarity and statistical distance among characteristics of a plurality of monitoring points, and collaborative diagnosis is started or traveling wave distance measurement is directly utilized to carry out insulation state evaluation and fault location. And finally, differential early warning levels are generated according to the diagnosis result, and fault line selection and positioning information is output to realize real-time monitoring, intelligent early warning and accurate positioning of the operation state of the high-voltage cable.

The invention discloses a high-voltage cable on-line safety monitoring and fault positioning system, and relates to the technical field of high-voltage cable monitoring, and the system comprises a data processing module which is responsible for the centralized processing and analysis of original data; the data acquisition module is responsible for acquiring cable operation data and surrounding environment data; the safety monitoring module is responsible for monitoring the operation state of the cable in real time and evaluating the safety risk of cable operation; the fault early warning module is responsible for receiving data generated by the safety monitoring module; the fault positioning module is used for positioning the occurrence position of a cable operation fault; the operation and maintenance management module is responsible for coordinating maintenance resources and plans; and the client provides a visual interface. According to the invention, the cable operation fault can be predicted in advance, and the accuracy of fault positioning can be improved by generating multi-stage early warning information and optimizing the original signal through wavelet change.

The electrified vehicle includes a vehicle body, a plurality of wheels configured to support the vehicle body, a power unit attached to the vehicle body and configured to drive at least one of the plurality of wheels, and a high-voltage cable arranged in a vertical direction behind the power unit. The vehicle body is configured to support a lower portion of the power unit, and the upper portion of the power unit is configured to be connected to or engaged with the vehicle body via a bracket at least in a vehicle front-rear direction.

A method for testing sheath impedance in a high-voltage cable cross-bonding system. Three-phase current data and three-phase grounding circulating current data from a first cable body segment and a last cable body segment in cross-bonding units, and three-phase current data, three-phase grounding circulating current data, and three-phase induced voltage data from a cable body at a cross-bonding box are detected and collected, thereby directly calculating three-phase sheath impedance of the three cable segments and determining whether the three-phase sheath impedance is abnormal (step 5), thus determining whether the tested cross-bonding units have a defect. The present invention involves a simple operation, achieves an accurate testing result, and can achieve energized testing without an external excitation source. By performing real-time testing on the cross-bonding units and calculating the sheath impedance of the three cable segments in the cross-bonding units in real time, the states of the cross-bonding units can be determined in real time, which makes it possible to detect a cable fault immediately, thereby preventing a loss caused due to the cable fault.

The invention relates to a high-voltage cable accessory and cable corrugated aluminum sheath automatic lead coating machine, which comprises a fixing unit, a rotary positioning unit, an operation system and a control module, and is characterized in that the operation system is mounted on the rotary positioning unit, the rotary positioning unit is mounted on the fixing unit, and the fixing unit fixes and clamps a cable; the control module controls the fixing unit, the rotary positioning unit and the operation system to conduct lead coating on the high-voltage cable accessory and the cable corrugated aluminum sheath, the lead coating quality and efficiency can be improved, and automatic operation of the lead coating process is achieved. The invention further provides a lead enameling process using the automatic lead enameling machine for the high-voltage cable accessory and the cable corrugated aluminum sheath, the operation is simple and convenient, and the defect that the manual lead enameling efficiency of the high-voltage cable accessory and the cable corrugated aluminum sheath is low is overcome; and the defects of poor lead coating and safety accidents caused by uneven levels of cable accessory installation personnel and the influence of the field operation environment on the technology are overcome.

The invention belongs to the technical field of image processing, and particularly relates to an image processing method for high-voltage cable defects. The method comprises the following steps: firstly, performing multi-scale Gaussian smoothing and other processing on an acquired cable surface real-time image to solve the problem of uneven illumination, and enhancing a brightness dynamic range and local details; afterwards, the image resolution and details are improved through residual learning and frequency domain high-frequency enhancement; performing multi-scale edge detection on the to-be-detected image to obtain edge features; and finally, optimizing edge details through adaptive edge enhancement and noise suppression. The method effectively improves the accuracy and reliability of high-voltage cable defect detection, has remarkable advantages in image processing efficiency, precision and stability, and meets the requirements of high-voltage cable production on surface defect image processing.

The invention relates to the technical field of cable fault diagnosis and positioning, in particular to a cable fault positioning method and system based on multi-source data space-time correlation, and the method comprises the steps: obtaining partial discharge, traveling wave and temperature multi-source monitoring data from a high-voltage cable-overhead line hybrid power transmission network; on the basis of space-time correlation analysis of partial discharge and temperature data, heat-electricity associated defect points are calibrated; comparing traveling waves of the cable and the overhead line, and identifying and inhibiting cross-domain propagation interference; positioning the traveling wave data which are not identified to obtain temporary coordinates, judging fault characteristics by fusing information such as sheath ring current and the like, and comparing the temporary coordinates with defect points to generate matching identification; and inputting multi-dimensional information such as fault features, defect matching identification and temperature into the fusion model, calculating the confidence coefficient of a fault mode, and outputting a cross validation positioning result. According to the invention, high-reliability positioning of mixed line faults and active early warning of insulation defects are realized by carrying out space-time correlation and fusion decision on multi-source monitoring quantities such as traveling waves, partial discharge, circulation, temperature and the like.

The invention discloses a high-voltage cable joint temperature online monitoring method based on sensor data fusion. The method comprises the following steps: data acquisition: acquiring a first temperature data sequence T1i, a second temperature data sequence T2i and an environment temperature data sequence Ei of a plurality of temperature sensors at the position of a high-voltage cable joint; data fusion: fusing the data to generate a fused temperature data sequence Fi; abnormal detection: calculating a temperature change coefficient, a temperature difference coefficient and a temperature change rate of each temperature sensor according to the fused temperature data sequence Fi, and generating an abnormal quantized value Qi of each temperature sensor; and judging result generation: comparing the abnormal quantized value Qi with a preset threshold value Qth, and judging whether each temperature sensor has a temperature abnormal condition or not. According to the invention, by fusing the data from the plurality of temperature sensors and the environment temperature information, the accuracy and reliability of temperature monitoring are improved, and the anti-interference capability and the intelligent level of the system are enhanced.

The invention relates to the field of cable trend analysis, in particular to a temperature and humidity trend analysis early warning method and system for a high-voltage cable, and the method comprises the following steps: S1, monitoring and obtaining the temperature and humidity data of the high-voltage cable in real time through a distributed optical fiber, and carrying out the preprocessing and storage of the obtained data; s2, according to a modeling rule of COMSOL, carrying out modeling processing on the line distribution condition of the high-voltage cable in combination with temperature and humidity data acquired in real time; s3, jointly analyzing and judging the abnormal condition of the high-voltage cable through a distributed framework in combination with a Gaussian mixture model and a robust mahalanobis distance; and S4, performing classification according to the emergency degree of the abnormal condition, and providing different types of early warning modes. The system can improve the monitoring reliability and accuracy, achieves early warning and fault prevention, is suitable for complex environments and large-scale data processing, improves the working efficiency, and reduces the cost.

A high-voltage cable (1) comprising a hollow conductor (2), characterized in that an inner tube (3) is arranged inside the hollow conductor (2), and a first electrically insulating layer (4) is arranged between the innertube (3) and the hollow conductor (2), wherein said first electrically insulating layer (4) is in direct contact with the entire outer surface of the inner tube (3) and the entire inner surface of the hollow conductor tube (2), and a method (100) of manufacture of the cable.

The invention discloses a bridge laying high-voltage cable mechanical fatigue evaluation method and system, and relates to the field of cable fatigue evaluation. Existing methods for evaluating cable fatigue caused by factors such as bridge expansion and vibration are lacked. The method comprises the following steps: arranging a test cable on a mobile test platform, and collecting sensor data to obtain bending, stretching and compression stress of the cable; data are repeatedly acquired by moving the movable box body, and the stress condition of the cable is simulated; carrying out a slice test on the cable, and measuring the elongation at break of a cable sheath and insulation; in combination with sensor data and cable material fatigue characteristics, shape parameters and scale parameters of Weibull joint distribution are fitted, and the fatigue life, the fault probability and the mechanical failure risk of the cable are predicted based on a fitting result, so that whether the fatigue failure of the cable occurs or not is judged. According to the technical scheme, through combination of the test platform and the Weibull distribution model, the mechanical fatigue of the bridge laying high-voltage cable is accurately evaluated, and the accuracy of cable life prediction is improved.

The invention discloses an overhead line-high voltage cable sheath lightning stroke induced voltage calculation method. At present, the voltage of a lightning stroke point, a connection point of an overhead line and a cable and a point in a well of each joint along a cable sheath cannot be obtained at the instantaneous moment of lightning stroke of the overhead line on site. According to the method, electromagnetic transient simulation modeling is carried out on actual spatial positions, structural parameters and material parameters of field overhead lines and high-voltage cables, electromagnetic transient simulation modeling is carried out on lightning currents, electromagnetic transient modeling is carried out on normal operation conditions and actual lightning stroke fault conditions of an electric power system, and after the randomness of the fault occurrence moment is considered, the electromagnetic transient simulation modeling is carried out on the actual lightning stroke fault conditions of the electric power system. And the maximum lightning stroke induced voltage value of each point along the cable sheath after lightning stroke is calculated through electromagnetic transient simulation software, so that a reference basis is provided for insulation matching design of the cable sheath of the overhead line-cable mixed line invaded by lightning current, and a foundation is laid for design evaluation of various subsequent voltage limiters and protectors.

The invention discloses a high-voltage cable state live detection method, which relates to the technical field of power detection, and is characterized in that a mathematical model of an electric field around a cable is established by using an electrostatic field equation in a Maxwell equation set, and electric field distribution between a cable insulation layer and a conductor is solved; high-frequency electromagnetic pulse signals are measured, and partial discharge detection in the insulating layer of the high-voltage cable is carried out according to a Paschen curve model; the temperature distribution change in the cable is simulated through a heat transfer equation, and the temperature distribution of the cable is monitored in real time by using a fiber bragg grating sensor; and correcting the electric field distribution and the partial discharge detection result based on the obtained temperature distribution of the cable. The partial discharge phenomenon in the cable insulation layer can be accurately identified and positioned, the insulation state of the cable can be monitored in real time, whether the discharge phenomenon exists or not can be rapidly judged, and therefore cable faults can be effectively prevented.

The invention discloses a long-distance subarea step-by-step fracturing coal seam permeability increasing method and system, and the method comprises the steps: dividing a target coal seam into different subareas, setting a plurality of perforation point locations according to fracturing requirements, and obtaining fracturing construction parameters of the subareas of the target coal seam; according to the fracturing construction parameters, directional perforation fracturing is conducted on the target coal seam through a kilometer directional drilling machine provided with a laser device; the deepest perforation of the target coal seam is sealed through a hole packer, a conductive ion solution is injected into the hole, and secondary single-hole local fracturing is conducted through the liquid-electric effect; and respectively connecting the positive electrode and the negative electrode to the walls of two adjacent perforation holes, and performing three-stage two-hole block fracturing by utilizing an electric crushing effect until the coal seam in the partition is completely fractured. According to the method, three-stage step-by-step fracturing permeability increasing of the target coal seam can be achieved, consumption of water resources and energy loss of high-voltage cables are reduced to a great extent, and the energy utilization rate is increased.

The invention discloses a state evaluation and life prediction method for multi-source data fusion of a high-voltage cable. According to the method, a full-process technical scheme of acquisition, preprocessing, fusion, evaluation and prediction is constructed. In a multi-source data acquisition stage, full-dimensional data support is formed. In the data preprocessing stage, abnormal value mixed detection, missing value supplementation of physical rule constraints, data desensitization and feature preliminary screening are integrated. In the multi-source data fusion stage, strategies of feature-level fusion, federal learning and decision-level fusion are adopted. In the state evaluation stage, fuzzy comprehensive evaluation of dynamic weight and Bayesian correction is adopted, the state is accurately judged, and weak links are positioned. And in the life prediction stage, an improved prediction model is constructed, and dynamic correction and digital twinborn verification are combined to realize accurate prediction of the residual life. Accurate judgment of the state of the high-voltage cable and dynamic prediction of the service life can be achieved, and the lean management level of a power system on the high-voltage cable is effectively improved.

The invention discloses a high-voltage cable laying construction process intelligent control method and device and a storage medium, and the method comprises the steps: arranging a tension sensor according to a node construction site environment and a construction plan; acquiring traction data at different positions of the cable to control the power output of the tractor; lateral pressure data of the cable is monitored in real time, power output of the traction machine is adjusted, and high-voltage cable laying construction of the node is achieved; visually and dynamically simulating a high-voltage cable laying construction process and recording a construction site environment, a planned traction force and side pressure data, wherein the high-voltage cable laying construction process comprises a plurality of construction nodes; and carrying out construction plan adjustment and resource configuration optimization in the current high-voltage cable laying construction node in combination with the current construction site environment and the construction plan. According to the method, the construction efficiency, the safety, the resource utilization rate and the management efficiency are improved, the construction risk is reduced, the service life of the cable is prolonged, and remarkable economic benefits and social benefits are achieved.

The invention discloses a high-voltage cable outer metal sheath grounding defect on-line monitoring method and monitoring system, which can work under the condition that a cable is not powered off, realizes on-line monitoring, and realizes on-line monitoring through the cooperation of a current sensor, a voltage sensor, a single-chip microcomputer and an upper computer. And the equipment can quickly detect when a fault occurs and is convenient for maintenance workers to timely eliminate obstacles, so that the risk of major electric power accidents is reduced. The algorithm is similar to an improved neural network algorithm and is used for diagnosing the defects of the outer metal sheath of the cable, the weight is obtained through training learning, and finally the defects of the outer metal sheath of the high-voltage cable are determined. The protection content covers each component of the technical scheme, and comprises a monitoring method, a device structure, a sensor technology, a data processing algorithm, a neural network learning algorithm and the like.

The invention belongs to the technical field of cables, and particularly relates to a high-voltage cable for a new energy vehicle, which comprises a conductor and an insulating layer, the insulating layer material is prepared from the following raw materials in parts by mass: 40 to 50 parts of polyethylene, 5 to 10 parts of beta-caryophyllene-maleic anhydride-polyethylene copolymer, 10 to 15 parts of ethylene-octene copolymer, 1 to 4 parts of composite cross-linking agent, 2 to 3 parts of cellulose nanofiber, 1 to 2 parts of kaurene, 5 to 10 parts of flame retardant, 0.5 to 1 part of flexibilizer and 0.5 to 1 part of lubricant. The prepared cable has excellent thermal stability, mechanical strength and insulating property, the service life of the cable is effectively prolonged, and the use stability of the cable is effectively improved.