1603 results about "Lightning arrester" patented technology

The invention discloses a lightning arrester operation state online monitoring and evaluation method and system, and relates to the technical field of lightning arrester operation state monitoring, and the method comprises three steps of cooperative correction, health degree evaluation and local defect discrimination. According to the cooperative correction, data is acquired through a multi-sensor network, an environment compensation model is established to optimize the leakage current measurement precision, and a filter is dynamically adjusted to suppress interference signals. Health degree evaluation is fused with multi-dimensional features, a dynamic entropy weight method and a self-adaptive membership function are adopted to realize accurate state grading, and the parameter coupling analysis capability is improved through covariance correction. Local defect identification utilizes a distributed optical fiber sensing network and a digital twinning technology to realize real-time positioning and growth prediction of microdefects. The monitoring precision and reliability of the operation state of the lightning arrester can be effectively improved, potential faults can be found in time, the maintenance cost is reduced, and safe and stable operation of a power system is guaranteed.

The invention relates to the field of power system monitoring and fault prediction, in particular to a lightning arrester fault type prediction method and system based on an extremely cold environment working condition. Probabilistic prediction of future key indexes of the lightning arrester is realized, and physical state data is generated through real-time simulation of a digital twin platform; through weighted least square method fusion correction and fuzzy logic, an integrated decision model constructed by a dynamic Bayesian network, system output fault mode classification and early warning decision, the effects of early warning of fault risks in advance in an extremely cold environment and improvement of the safety of a power system are achieved.

The invention discloses a power supply method and a power supply system for on-line monitoring equipment of a lightning arrester, and the method specifically comprises the steps: activating a multi-source energy module according to a preset priority order based on the operation state and environment parameters of the lightning arrester, and supplying power to the on-line monitoring equipment; based on the output characteristics of the multi-source energy module and the residual electric quantity of the on-line monitoring equipment, a constant voltage-constant current hybrid power supply strategy in a conventional mode or an anti-interference power supply strategy in an abnormal mode is executed on the on-line monitoring equipment; and processing the historical leakage current, environmental temperature and humidity and vibration spectrum characteristics of the lightning arrester acquired by the online monitoring equipment through the LSTM prediction model, predicting the energy supply trend of the online monitoring equipment in the preset future time, and dynamically adjusting the working parameters of the online monitoring equipment according to the energy supply trend. According to the invention, stable power supply of the lightning arrester on-line monitoring equipment in a complex environment is realized, and the power supply reliability and the equipment availability are improved.

The invention provides a line arrester operation monitoring method and device based on bimodal synchronous analysis, and the method is applied to an operation monitoring device comprising a lightning stroke recognition module, a signal collection module and an operation diagnosis module, and specifically comprises the steps: recognizing a lightning stroke event; bimodal current waveform signal acquisition for synchronously triggering an impact current signal and a power frequency follow current signal; dynamically associating the bimodal current waveform signal based on the time dimension and the amplitude dimension; and establishing a correlation diagnosis model, and outputting an abnormality diagnosis result according to the correlated bimodal current waveform signal. According to the method, the dual-mode current waveform is synchronously collected and the dual-mode current waveform signal is dynamically associated, so that the recovery state of the line arrester after action is comprehensively and accurately mastered, the abnormal state of the line arrester is more accurately identified, the identification accuracy of potential fault hidden dangers is improved, the occurrence probability of misjudgment and missed judgment is reduced, and the reliability of the line arrester is improved. And the effectiveness and reliability of line lightning arrester monitoring are ensured.

The invention relates to the technical field of image recognition, in particular to a lightning arrester fault thermal imaging picture recognition method and system combined with gaze prediction, and the method comprises the steps: carrying out the down-sampling of an original thermal imaging image to a fixed size, sequentially passing through a multi-layer convolution and a Spatial Softmax layer, and outputting a predicted gaze point track sequence, extracting a key area and a non-key area according to the intensity of the fixation point track sequence; reconstructing the key area to obtain a compressed and recombined target area; inputting the non-key region into a variational auto-encoder to obtain a low-dimensional potential feature vector; and inputting the image-structure joint feature representation into an EffiCroprViT model, and finally obtaining a lightning arrester fault classification result. Local and global features are efficiently fused, the calculation complexity is reduced, background noise interference is effectively suppressed, real-time and accurate identification and early warning of the fault state of power equipment are realized, and the fault classification method has the advantages of high efficiency, high reliability and high reliability. Therefore, the safety and stability of power grid operation are ensured.

The invention discloses a lightning arrester leakage current monitoring system based on multi-modal data fusion and a method thereof. The system comprises a multi-modal sensing unit, an edge calculation unit and a cloud analysis platform. The multi-mode sensing unit realizes data interaction with the edge computing unit through Lora and 5G dual-mode communication; and the edge computing unit realizes data interaction with the cloud analysis platform through HTTP and MQTT communication. The method has the following beneficial effects: 1, a deep coupling model of multi-dimensional environmental parameters and electrical characteristics is constructed, and the current powerful reinforcement learning algorithm with a memory enhancement mechanism is combined, so that the monitoring reliability under a complex working condition is remarkably improved; 2, the system has the functions of dynamic threshold adjustment, environmental interference compensation and equipment degradation prediction, the false alarm rate can be effectively reduced, the service life of equipment can be prolonged, and a new solution thought is provided for anti-interference of an online monitoring system;

The invention belongs to the technical field of lightning arrester disassembly and assembly, and particularly relates to an energy data trusted sharing method based on multi-block chain cooperation and improved consensus. Comprising the following steps: S1, finishing on-chain and off-chain distributed storage of data in combination with an interstellar file system and a block Hash; s2, generating publishable data fingerprints by combining the smart contract and row data; s3, performing data flow sharing based on the publishable energy data of the block chain; s4, performing a consensus based on POBT +; s5, finishing the uplink evidence storage of the data circulation process by combining the smart contract; s6, carrying out abnormal behavior identification; s7, data circulation tracing is carried out; through the steps, access control and abuse responsibility investigation are realized in combination with attribute encryption and digital fingerprint technologies, construction of a security environment in the data sharing process is greatly improved, flexible and revocable fine-grained access control is realized, accurate responsibility investigation of unauthorized use of data is completed, and high efficiency and security in the energy data sharing process are ensured.

The invention discloses a self-sensing monitoring method, system and equipment based on a lightning arrester, and relates to the technical field of power equipment monitoring. The self-sensing monitoring method, system and equipment based on the lightning arrester comprises the following steps: S1, collecting lightning stroke data in real time through multi-sensing fusion, and performing data cleaning and standardization processing on the lightning stroke data; s2, adopting a three-mode sensing and three-source power supply cooperation mechanism to realize state-driven adaptive sensing and energy path switching; s3, automatically scheduling a communication path according to a communication type and link quality, dynamically analyzing and compensating transmitting power, and completing authentication encryption and multi-hop secure transmission; s4, lightning stroke characteristics are extracted, an equipment life prediction model is constructed, residual life prediction is realized, and equipment health grade division and operation strategy adjustment are carried out according to the residual life prediction model; and S5, calculating an electric leakage deviation value by reconstructing a current waveform, triggering graded early warning and linking a communication power and energy supply strategy. The problem that the operation of a power system is affected due to large leakage current monitoring errors is solved.

The invention provides a distribution network lightning arrester transient temperature distribution improvement method based on insertion of an aluminum gasket, and belongs to the technical field of electrical equipment, and the method comprises the steps: constructing a lightning arrester three-dimensional model in simulation software; constructing the lightning arrester conductivity of the coupling temperature; constructing a lightning stroke simulation model of the lightning arrester; lightning stroke transient temperature distribution of the lightning arrester is obtained, and a lightning stroke comparison result before and after addition of the aluminum gasket is obtained; constructing an aluminum gasket thickness-position set; and obtaining the position-thickness optimization relation of the aluminum gasket, constructing a genetic algorithm model according to the aluminum gasket thickness-position set, and obtaining the optimal aluminum gasket thickness based on the position. The method has the advantages that the temperature change of the ZnO valve plate of the lightning arrester under the lightning impulse is obtained, and the transient temperature distribution of the lightning arrester during the lightning impulse is obtained by using the temperature distribution coefficient; comparing the transient temperature distribution of the lightning arrester before and after adding the aluminum gasket to confirm that the temperature distribution of the lightning arrester can be optimized by adding the aluminum gasket; therefore, the method for introducing the aluminum gasket between the lightning arrester valve plates is provided.

The invention relates to the field of lightning arresters, and particularly discloses a lightning arrester with an automatic cleaning function, which comprises a base, a lightning arrester body is mounted on the base, a rotating assembly surrounding the outer ring of the lightning arrester body is arranged on the base, and a driving assembly for driving the rotating assembly to rotate is arranged on the base. The lightning arrester has the advantages that the overall cleaning effect can be achieved, the cleaning efficiency is improved, the cleaning assembly can be far away from the lightning arrester body when cleaning is not carried out, normal work of the lightning arrester body is guaranteed, the performance of the lightning arrester body is improved, the cleaning assembly and the lightning arrester body form a sealed environment, dust is effectively prevented from entering gaps of the lightning arrester body, and the service life of the lightning arrester body is prolonged. The problem of dust accumulation is solved from the source, during targeted cleaning, the effect of targeted cleaning of gaps of the lightning arrester body is achieved, meanwhile, it is guaranteed that gaps of other lightning arrester bodies are not affected, crossed accumulation of dust is avoided, the cleaning effect is improved, and the service life of the lightning arrester is prolonged.

The invention discloses a lightning arrester external defect detection method and device based on improved YOLOv8, and the method comprises the following steps: carrying out the improvement of a YOLOv8 network, and carrying out the network training through a training data set, and obtaining a trained improved YOLOv8 network; using the trained improved YOLOv8 network to detect the external defect of the lightning arrester, and obtaining a detection result; wherein a method for improving the YOLOv8 network and performing network training by using a training data set to obtain the trained improved YOLOv8 network comprises the following steps of: obtaining a lightning arrester image sample data set, preprocessing the lightning arrester image sample data set, and finally performing convolution operation to obtain an input feature graph Iorm; extracting backbone network features; feature pyramid fusion; prediction of a detection head: respectively predicting the fusion features; decoding the prediction frame; soft-NMS post optimization processing is carried out; according to the invention, the detection precision of the external defect of the lightning arrester is obviously improved.

The invention discloses a lightning arrester on-line monitoring method and device, and relates to the field of intelligent monitoring, and the method comprises the steps: firstly collecting original current and voltage waveform data, carrying out the frequency domain decomposition operation, then introducing an intelligent prediction mechanism, carrying out the intelligent prediction of a phase error based on the fundamental voltage phase, temperature change and harmonic characteristics, and finally, carrying out the calculation of the phase error. And performing phase angle correction operation and preliminary calculation of resistive current on the fundamental current and voltage by using the corrected phase information, and introducing a historical data smoothing algorithm to perform noise reduction optimization on a result. And finally, comparing the analyzed and processed resistive current with a preset threshold value, and judging whether an alarm prompt is generated or not. Therefore, real-time evaluation and abnormal alarm of the operation state of the lightning arrester are realized, so that a powerful guarantee is provided for safe operation of a power system.

The invention provides a distribution network type lightning arrester leakage current optimization measurement method. The method comprises the steps of signal acquisition, preliminary signal denoising and preprocessing, wavelet transform signal decomposition, high-frequency noise component elimination and processing, input convolutional neural network CNN descrambling, integrated learning model optimization, output of descrambled leakage current signals, performance evaluation and result feedback. Through a multi-level processing method combining wavelet transform and a convolutional neural network, high-frequency noise in a weak leakage current signal is effectively removed, effective characteristics of the signal are reserved in the denoising process, and compared with a traditional method depending on a single signal processing technology, signal descrambling can be more accurate and effective, and the signal descrambling efficiency is improved. According to the wavelet transform signal decomposition method, the signal can be decomposed into components with different frequencies, high-frequency noise components are effectively eliminated, low-frequency and intermediate-frequency effective signals are reserved, then the convolutional neural network further improves the definition and reliability of the signal through depth feature extraction, and accurate detection of the leakage current signal is ensured.

The invention discloses an intelligent diagnosis system and method for defects of a metal oxide arrester. The intelligent diagnosis system comprises a data acquisition and preprocessing module, a feature extraction and model training module, a real-time diagnosis module, an anomaly detection and health assessment module and an adaptive learning module. The data acquisition and preprocessing module acquires lightning arrester test point data, is connected with the measurement equipment through an interface, and stores the data in the MySQL database. The feature extraction and model training module extracts key features from the preprocessed data, performs dimensionality reduction by using PCA and LDA, constructs a feature matrix, and performs model training and verification by using a machine learning algorithm; the real-time diagnosis module collects the operation data of the lightning arrester in real time, monitors the operation state, and carries out intelligent diagnosis through a training model. The anomaly detection and health assessment module monitors an operation data anomaly mode, assesses the overall health state and provides a health report; and the adaptive learning module optimizes a retraining model according to the new data, and updates parameter intelligent diagnosis. The accuracy and comprehensiveness of diagnosis are improved, and the judgment is more scientific and accurate.

The invention discloses a power transmission line lightning arrester fault defect analysis method and system, and relates to the technical field of intelligent operation and maintenance of power equipment, and the method comprises the following steps: obtaining a lightning arrester simulation model; simulating a preset defect working condition by adjusting parameters of the lightning arrester simulation model, executing simulation for a plurality of times, and constructing a defect state feature set; acquiring multi-dimensional time sequence monitoring data during a single discharge action period of the lightning arrester, acquiring equivalent strength data based on the deep learning model, and accumulating the equivalent strength data to obtain accumulated equivalent action strength; performing feature similarity matching on the defect state feature set and the action feature vector of the multi-dimensional time sequence monitoring data, and identifying the defect type of the lightning arrester; and carrying out proportion calculation on the accumulated equivalent action intensity and preset tolerable action intensity, and if a preset alarm condition is met, outputting alarm information. The method is used for solving the problems that a traditional lightning arrester monitoring pair lacks structural modeling, and accurate defect evaluation and dynamic early warning are difficult to achieve.

The invention discloses a wide temperature range compensation method for resistive current of a lightning arrester, which belongs to the technical field of online monitoring of power equipment, and comprises the following steps: acquiring waveform data under a reference low-temperature working condition, and establishing an initial capacitive harmonic base; acquiring working condition data at any temperature in real time, performing harmonic decomposition, and analyzing to generate a nonlinear distortion feature vector; dynamically correcting the initial base by using the feature vector, and carrying out subtraction operation on the total current harmonic wave to obtain a final resistive current harmonic wave vector; and reconstructing an instantaneous resistive current waveform through inverse transformation and calculating a characteristic value. According to the technical scheme, the initial capacitive harmonic wave base is established, the nonlinear distortion feature vector is generated based on the harmonic distortion of the real-time working condition quantification temperature and valve plate nonlinear coupling, and dynamic feedback correction is conducted on the base, so that the real resistive current waveform in the wide temperature range can be accurately separated and reconstructed, and the accuracy of the real resistive current waveform in the wide temperature range is improved. And the accuracy and reliability of lightning arrester state evaluation are improved.

The invention provides a capacitive equipment resistive current taking-free PT signal measurement method suitable for a lightning arrester, and relates to the technical field of capacitive equipment resistive current measurement. The method comprises the following steps: deploying a non-contact electric field coupling sensing array; acquiring a multi-channel main induction signal and an equipment high-voltage side induction electric field signal; performing cascade filtering processing to obtain a filtering reference signal; dynamically correcting the phase deviation of the filtered reference signal to obtain a calibration reference signal; collecting a leakage current signal, and separating to obtain a resistive current component; and constructing a dielectric loss factor multivariable dynamic compensation model based on the deep belief network, embedding a capacitive equipment operation duration cumulative effect factor, and updating parameters in real time through an online learning algorithm to obtain a resistive current measurement result. High-precision measurement of resistive current is realized through an advanced technology, a model is established in combination with multiple environment parameters and equipment operation duration, adaptability is improved, and long-term accurate monitoring is guaranteed through online parameter updating.

The invention relates to a lightning arrester leakage ammeter self-calibration method and system, and the method comprises the following steps: disconnecting a main leakage ammeter from an external main measurement loop, and closing a calibration loop of a redundancy calibration sensor and a reference current source after a preset time is delayed; controlling a reference current source to output standard signals with different current magnitudes, collecting the standard signals by using a redundancy calibration sensor, extracting effective signal components, and performing environment compensation; iteratively calculating a relative error between the effective signal component and the standard signal, if the relative error is less than or equal to a second threshold value, updating a calibration coefficient according to a ratio of the standard signal to the effective signal component, and correcting a measurement result of the main leakage ammeter based on the calibration coefficient; if the relative error is greater than a third threshold value, locking output and uploading fault information; otherwise, recording as one exception, and carrying out maintenance early warning according to the number of exceptions. Compared with the prior art, the self-checking and real-time calibration of the leakage ammeter of the lightning arrester can be completed on the premise of not influencing the operation of power equipment.

The utility model discloses a lightning arrester electrical performance test tool, which relates to the field of lightning arresters and comprises a device body, a transmission plate is slidably connected in the device body, a cover plate is connected to the outer surface of the transmission plate, a power connection port is installed in the cover plate, a lightning arrester body is slidably connected in the cover plate, and the lightning arrester body is connected with the power connection port. A limiting hole is formed in the device body, a supporting base is installed in the device body, a water outlet pipe is communicated with the interior of the device body, a water tank is connected to the outer surface of the device body, a water pumping pipe is communicated with the interior of the water tank, and a water spraying plate is installed in the device body. Through cooperation of the cover plate, the water spraying plate and other parts, the cover plate can move, so that the power connection port is in contact with the upper ends of the lightning arrester bodies at different heights, the water spraying plate can spray water, spraying simulation is performed on the lightning arrester bodies, and the problem that deviation exists between a rainy day and a real detection result is solved.

The invention discloses a lightning arrester fault positioning method, which comprises the following steps of S1, installing an intelligent monitoring terminal externally connected with multiple sensors near a lightning arrester, monitoring the lightning arrester by adopting the multiple sensors, and preprocessing monitored data; s2, transmitting the monitoring data to a power operation and maintenance center by using the Internet of Things (IoT) to realize remote real-time monitoring; and S3, comparing long-term monitoring data with a normal lightning arrester database, and analyzing whether an abnormal trend exists or not. According to the invention, the fault condition of the lightning arrester is analyzed by combining the data monitored by multi-sensor fusion and adopting an intelligent analysis method, the problem that a slight fault and aging are difficult to distinguish is effectively solved, the fault position is corrected through the AI model, the fault positioning precision is improved, and the fault positioning accuracy is improved. In addition, the service life of the lightning arrester can be effectively prolonged in cooperation with the mode of intelligently adjusting the maintenance period through the AI prediction model, and the use requirement is met.

A testing device for the insulation performance of a lightning arrester resistance disk, comprising a housing (1), a module placement cover (2), and an insulation testing device, characterized in that the insulation testing device comprises a high-voltage electrode common end tool plate (4), a channel signal switching plate (5), and a low-voltage electrode end tool plate (6), the high-voltage electrode common end tool plate (4), the channel signal switching plate (5), and the low-voltage electrode end tool plate (6) being sequentially distributed from top to bottom inside the housing (1);and wherein the front of the housing (1) is provided with an insertion slot (8), and wherein a resistor disk mounting bracket (9) comprising a pull-out frame (12) is movably inserted into the inner wall of the insertion slot (8), and wherein a resistor disk receiving plate (11) is movably inserted into the inner wall of the pull-out frame (12), and wherein a resistor disk placing groove (17) is provided on the upper surface of the resistor disk receiving plate (11), and wherein the resistor disk mounting bracket (9) is located between the tool plate of the common end of the high-voltage electrode (4) and the channel signal circuit board (5);

The invention relates to the technical field of lightning protection devices, and discloses a remote monitoring method, system and terminal for the running state of a lightning protection device, and the method comprises the steps: a first processor obtains the electrical data of a first lightning protection device through a preset first mutual inductance sensor, calculates the surge component data, calculates the change trend data according to a first period, and transmits the change trend data to a second processor; and matching with the trend template to generate a first state identifier, if matching, identifying to be good, otherwise, identifying to be abnormal. And the first processor establishes local wireless temporary connection with a second processor connected with a second mutual inductance sensor within a set distance according to a second period and sends a first state identifier, and the second processor stores the identifier and a communication address of the first processor. And the second processor generates a second state identifier corresponding to the second lightning protection device, inserts the two state identifiers into own equipment information, and wirelessly sends the two state identifiers to a remote background. According to the method, remote monitoring of the operation state of the lightning protection device is achieved, abnormal conditions can be found in time, and the operation and maintenance efficiency is effectively improved.

The invention discloses a lightning arrester installation tool, and belongs to the technical field of distribution network operation and maintenance. The tool comprises a connecting clamping jaw, a limiting plate, a distance adjusting module, a clamping clamping jaw, a drainage wire clamp module and a base hook, wherein the connecting clamping jaw can be used for pre-assembling the lightning arrester on the ground, and an impact wrench is used for automatically tightening the lightning arrester; the limiting plate is accurately positioned through the guide long plate; the distance adjusting module adjusts height through an electric push rod and a guide rail; the clamping jaw is driven by the steering engine to clamp the lightning arrester; the base hook hangs the wire by means of force, and the roller assists in stabilizing. The installation method comprises ground pre-assembly and high-altitude installation, the insulator does not need to be dismantled, the on-pole operation time is shortened by 50%, and the efficiency is doubled. Power failure can be avoided, operation and maintenance intensity is reduced, power supply reliability is improved, and the method is suitable for distribution network non-power-failure operation.

The invention provides a fault indication device of a lightning arrester and the lightning arrester. The fault indication device comprises a target resistor, a low-melting-point alloy, a counterweight and a shell, the target resistor, the low-melting-point alloy and the counter weight are all located in the shell; the first end of the target resistor is connected with a shell of the lightning arrester, the second end of the target resistor is grounded, the upper end of the low-melting-point alloy is in fixed contact with the target resistor, and the lower end of the low-melting-point alloy is connected with the balance weight; the shell comprises a visual subarea at the bottom; the target resistor generates different heat according to the magnitude of the leakage current of the lightning arrester, and when the temperature of the target resistor is higher than the melting point temperature of the low-melting-point alloy, the low-melting-point alloy is melted, and the counterweight falls into the visual partition. According to the device, by triggering melting of the low-melting-point alloy, advanced visual early warning can be provided before the lightning arrester breaks down, and the problem that fault indication of the lightning arrester is not timely is solved.

The utility model relates to the technical field of lightning arresters, and discloses a lightning arrester with an on-off function, which comprises a lightning arrester shell and a bottom plate, the lightning arrester shell is fixedly mounted on the outer wall of the top of the bottom plate, a lightning arrester conductive core is mounted on the inner side of the lightning arrester shell, an on-off guide rod is arranged on the inner side of the lightning arrester shell, and the bottom plate is fixedly mounted on the bottom plate. The top end of the on-off guide rod is electrically connected with the bottom end of the lightning arrester conductive core, an insulating sealing plate is fixedly arranged at the bottom end of the on-off guide rod, a limiting groove is formed in the outer wall of the middle of the bottom of the bottom plate, and the insulating sealing plate is arranged on the inner wall of the limiting groove in a sliding mode. According to the utility model, the insulating sealing plate is pulled down to drive the on-off guide rod to move downwards, and the on-off guide rod continuously moves downwards in the movable hole until the on-off guide rod completely moves to the outer side of the lightning arrester shell, so that the disconnection work of the conductive core of the lightning arrester and the on-off guide rod can be realized, the operation is convenient, the lightning arrester can be prevented from bearing overvoltage, and the service life of the lightning arrester is prolonged. The device is practical and suitable for being widely popularized and used.

The utility model relates to the lightning arrester test technical field, and discloses an electric power switch cabinet lightning arrester test support comprising a support assembly, the support assembly is connected with a fixing assembly, the support assembly comprises a support tube, the outer wall of the support tube is provided with support legs in a surrounding manner, the support tube is internally provided with an adjusting rod in a sliding plugging manner, and the adjusting rod is connected with the fixing assembly. A plurality of fixing grooves are formed in the adjusting rod, a threaded rod is inserted into the supporting pipe in a threaded mode, limiting blocks matched with the fixing grooves are arranged on the threaded rod, the fixing assembly comprises a fixing table fixedly arranged at the top of the adjusting rod, a plurality of first sliding grooves are formed in the upper surface of the fixing table in a surrounding mode, and fixing blocks are arranged in the first sliding grooves in a sliding mode. According to the utility model, the height of the device can be adjusted, so that tests can be carried out at different heights, test data are enriched, test results are improved, meanwhile, test cost is saved, lightning arresters with different sizes can be fixed by the fixed block which can be adjusted in a sliding manner, and the practicability is high.

The invention provides an extra-high voltage hybrid DC power transmission control system and method, and the system comprises a controller which is used for transmitting fault control trigger pulse control information to a hybrid converter when a transmitting end AC fault occurs; the hybrid converter is used for reducing the injected active power and the output direct-current power when the extra-high voltage direct-current power transmission line is in a normal operation condition; based on the state of the ultra-high-voltage direct-current power transmission line in the normal operation working condition, the full-bridge sub-module in the ultra-high-voltage direct-current power transmission line is controlled to output negative voltage, and short-circuit fault current is suppressed. And the turn-off current source type current converter is used for triggering an internal lightning arrester to generate a commutation voltage when a receiving end AC fault occurs, and carrying out commutation by combining the power grid voltage with the commutation voltage. According to the system, a hybrid converter is adopted at a sending end, active power and reactive power of the sending end are flexibly regulated and controlled, and negative voltage is output to suppress short-circuit fault current when a direct-current short-circuit fault occurs; and when the receiving end has an alternating current fault, reliable commutation can still be ensured.

The invention relates to the field of lightning arrester parameter measurement, in particular to a lightning arrester parameter measurement system and method.The lightning arrester parameter measurement system comprises an induction unit, a detection unit, a data processing unit and a control and positioning unit and is used for generating and focusing laser on the surface of a lightning arrester, collecting an electrical signal and an optical signal of plasma and sending the electrical signal and the optical signal to a processor; the feature quantity is obtained through a feature extraction algorithm, and core parameters of the inversion lightning arrester are calculated through mechanical learning. Plasma is generated through laser focusing, reduction of errors caused by direct electrical connection and contact resistance with a lightning arrester is avoided, the problems of potential safety hazards and interference of traditional contact type measurement are solved, laser focus global scanning, real-time dynamic monitoring and efficient measurement are achieved through the three-dimensional electric translation platform, and the measurement precision is improved. All key areas on the surface of the lightning arrester are covered, compared with single parameter inversion in the prior art, multiple parameters and microscopic parameters are considered, and the prediction precision of key core parameters such as insulation resistance based on the random forest model is further improved.

The invention relates to an on-line monitoring device and system based on an alternating current arrester. The on-line monitoring device comprises a basic monitoring unit, an environment sensing unit, a relay unit, a control unit and a calibration unit. The basic monitoring unit comprises a Rogowski coil 1 for monitoring the leakage current of the lightning arrester and a Rogowski coil 2 for monitoring the impact current. And the relay unit is controlled by the control unit and controls the working states of the Rogowski coil I and the Rogowski coil II. The environment sensing unit is used for monitoring environment parameters around the lightning arrester, the control unit judges environment parameter error coefficients according to the environment parameters and then feeds back the environment parameter error coefficients to the calibration unit, and the calibration unit forcibly corrects monitoring results. The measuring range can be automatically switched, high-precision monitoring is achieved through the first Rogowski coil in the case of low current, the second Rogowski coil is automatically switched to conduct wide-range monitoring in the case of impact current, the two Rogowski coils do not affect each other, and the measuring device has the advantages of being low in energy consumption and high in precision. And the calibration unit forcibly corrects the monitoring result, so that the detection precision of the device at low temperature is improved.

The utility model belongs to the field of porcelain sleeves for electrical equipment, and specifically relates to a porcelain sleeve with shielding and voltage-equalizing functions and a lightning arrester porcelain sleeve. The porcelain sleeve includes a porcelain part and a shielding cover arranged inside the porcelain part; the shielding cover is arranged on the upper inner wall of the porcelain part; or, the shielding cover is arranged on the lower inner wall of the porcelain part; or, there are two shielding covers; the two shielding covers are respectively arranged on the upper inner wall and the lower inner wall of the porcelain part. The utility model arranges the shielding cover on the porcelain part, installs the shielding cover inside the porcelain part, reduces the installation space, and is simple to install and simple in layout.