250 results about "Lightning" patented technology

The invention provides a lightning activity prediction method based on Doppler radar data and lightning activity correlation analysis, and relates to the field of lightning early warning. The method comprises the steps of performing normalization processing on Doppler radar data, and calculating radar centroid trajectory data based on the clustered Doppler radar data; synchronously extracting the ground-to-ground lightning data according to the radar timestamp, and generating a ground-to-ground lightning centroid track based on the clustered ground-to-ground lightning data; calculating a trajectory position similarity value and a trajectory direction similarity value under different combined reflectivity; and carrying out correlation comparison analysis on the trajectory position similarity value and the trajectory direction similarity value corresponding to each combined reflectivity, and selecting a target combined reflectivity meeting a preset comparison condition in the combined reflectivity to carry out lightning activity trajectory prediction. According to the invention, the problem that the lightning activity prediction accuracy is low due to the fact that the traditional lightning early warning technology often has false alarm and missing alarm under the condition of complex topographic relief or multi-series convection superposition is solved.

The invention discloses a lightning fire occurrence risk grade forecasting method and device and a storage medium. Belongs to the technical field of forest fire prediction. The method comprises the following steps: acquiring hour-scale real-time data of a target area; extracting a real-time numerical value corresponding to each key factor in a predefined key factor set from the real-time data; inputting the real-time numerical values corresponding to all the key factors into a pre-trained risk level prediction model to obtain a lightning fire occurrence probability corresponding to each lightning in the target area; and according to the occurrence probability of the lightning fire, determining the risk level of the lightning fire caused by each lightning in the target area. Therefore, scientific screening of key factors of lightning fire forecasting is realized, hour-scale real-time data acquisition is adopted, and data processing and model forecasting logic adapted to hour-scale dynamic change are adopted, so that forecasting accuracy and real-time performance are effectively improved.

The invention relates to the technical field of live detection, in particular to a power distribution gap lightning arrester live detection result compensation algorithm, which comprises the following steps: acquiring a voltage signal and dividing a period section, extracting waveform characteristics to generate a mark set, identifying trend reversal to construct a sudden change section list, analyzing intersection point spacing to form an abnormal set, and calculating a power distribution gap lightning arrester live detection result. And tracking trend deviation to determine correction data, mapping a reference path to reconstruct a reference baseline, and completing conduction state correction recording. According to the method, the detection data of the operation state of the power distribution gap lightning arrester is processed, waveform segmentation marks of a continuous period are constructed, a reversal trend path and slope abrupt change characteristics are combined, potential interference is identified, an abnormal fluctuation area is formed, and a voltage recovery deviation trend is constructed and analyzed through a front window and a trend line segment; and the offset starting and ending points are positioned and the reference path is corrected, so that the reliability of detection data, the accuracy of state judgment and the adaptability of operation conditions are effectively improved.

The utility model provides a lightning impulse protection device for a transformer, and relates to the technical field of lightning arresters, the lightning impulse protection device for the transformer comprises a mounting plate, two ends of the mounting plate are respectively provided with a protection mechanism, the protection mechanism comprises two rectangular blocks, the inner walls of the two rectangular blocks are rotatably connected with a rotating shaft, and the rotating shaft is connected with the mounting plate. A rotating shaft is arranged on the outer side of the screw rod, a coil spring is arranged on one side of the rotating shaft, an L-shaped rod is fixedly connected to the outer surface of the rotating shaft, and a piston block is rotationally connected to one end of the screw rod. The piston block slides on the inner wall of the rectangular groove by rotating the screw rod, so that the airbag sheet deforms and expands outwards, the outer side of the joint of the lightning arrester body and the high-voltage line is wrapped and protected, the influence of rain and sun on the outer side of the joint of the high-voltage line and the lightning arrester body is reduced as much as possible, the service life of the lightning arrester body is prolonged, and the use effect of the lightning arrester body is improved.

The invention relates to the technical field of atmospheric science detection, in particular to a lightning radiation source positioning method based on multi-station synchronous observation. Comprising the following steps: synchronously acquiring lightning broadband electromagnetic signals by multiple stations and performing time-frequency analysis; by calculating indexes such as cross-station coherence and interference level, high-quality frequency points are intelligently screened out to suppress noise and interference; reconstructing a narrow-band signal for each high-quality frequency point and performing high-precision time difference (TDOA) estimation by adopting an improved generalized cross-correlation method; and carrying out weighted fusion on TDOA measurement values of a plurality of high-quality frequency points, carrying out optimization solution by adopting a Grid Search algorithm, and finally obtaining a three-dimensional coordinate of lightning. Through intelligent screening of high-quality frequency points, accurate time difference estimation, optimization of a positioning algorithm, multi-band information fusion and intelligent processing, the defects that a traditional single-band positioning method is prone to interference and limited in precision are effectively overcome, the lightning positioning precision, the anti-interference capability and the reliability are remarkably improved, and the method is suitable for popularization and application. And the lightning positioning requirements in various environments are met.

The invention provides a lightning fall area identification method based on a wind cloud satellite temperature profile and an atmospheric instability index, and relates to the technical field of weather forecast, and the method comprises the steps: obtaining vertical layering temperature profile data, atmospheric instability index data and satellite lightning positioning data of a wind cloud satellite; the vertical stratification temperature profile data, the atmospheric instability index data and the satellite lightning positioning data are preprocessed, and the preprocessed vertical stratification temperature profile data, the preprocessed atmospheric instability index data and the preprocessed satellite lightning positioning data are obtained; and on the basis of the preprocessed vertical stratification temperature profile data, atmospheric vertical temperature gradient derivative elements are obtained by calculating atmospheric vertical temperature gradients between different air pressure layers. According to the method, intelligent identification and auxiliary decision-making of the lightning falling area can be realized, and meanwhile, technical support is provided for satellite-to-ground lightning observation data quality evaluation and control.

The invention provides a lightning fire occurrence probability prediction method fusing extreme climate factors, and relates to the technical field of forest fire prediction and risk assessment. The method comprises the following steps: collecting multi-source data such as thunder and lightning, extreme climate, weather, vegetation, soil and terrain, and constructing a balanced sample set; training an ignition probability model by adopting a random forest, XGBoost, a convolutional neural network and other models, and evaluating the performance difference before and after the extreme climate index is included; explaining variable contribution by using an SHAP method, and identifying a key driving factor; a risk grading grid map is generated according to the prediction probability, and the fire danger grade is automatically improved under the composite condition of heat waves and drought. The method has high precision and strong interpretability, and is suitable for fine prediction and prevention and control decision support of the occurrence probability of the lightning fire under the extreme climate background.

The invention provides a deep and far sea wind power plant area lightning dynamic parameter inversion method and device, and relates to the technical field of lightning protection, and the method comprises the steps: building a fan return stroke model based on current reflection caused by the wave impedance discontinuity of a fan top, a return stroke channel and a fan bottom grounding position, obtaining an initial propagation model of the electromagnetic field along the sea-land mixed path by combining the surface equivalent impedance of the sea surface and the land of the observation point zone; correcting the initial propagation model through electromagnetic field influence parameters to obtain a target propagation model; inputting a radiation source signal received by an array into the target propagation model for waveform time sequence inversion processing to obtain a corresponding time reversal signal; the time reversal signals in different directions are superposed and focused to obtain the peak azimuth, and the three-dimensional positioning of the lightning radiation source is carried out in combination with the positioning result of the double stations, so that the lightning development spatial-temporal distribution law is determined, and the measurement precision of the lightning leader development speed is remarkably improved.

The invention discloses a method and system for carrying out real-time lightning classification by utilizing dynamic vision data, and relates to the field of lightning monitoring, and the method comprises the steps: constructing a data collection system based on dynamic vision, and carrying out the collection of event data and dynamic vision data through an event camera; carrying out the reconstruction of the lightning image through event flow information and a writing algorithm; classifying the reconstructed lightning image through an optical flow algorithm, and carrying out the denoising and enhancement technology to restore the lightning image; dynamic visual data are directly processed, waveform differences among different types of lightning are analyzed through an event number time domain change curve, and lightning events are further classified; and the lightning type and the development stage are judged through frequency domain characteristics of the frequency spectrum analysis event number. According to the method, a high-resolution image is reconstructed, the lightning form and evolution process are accurately observed and analyzed, real-time performance can be realized in lightning monitoring, efficient processing and lightweight transmission are realized, and rapid lightning classification is realized by directly utilizing an event number change curve.

The invention discloses a fault detection method and system based on lightning protection device performance data, and relates to the technical field of fault detection, and the method comprises the steps: capturing the airflow velocity and airflow pressure deviation of a multi-crack outlet of a lightning protection device under the impact of a high lightning current in real time, and collecting the arc length data of an outlet point of the lightning protection device, and the temperature and instantaneous arc resistance of the thermocouple induction arc column are calculated. According to the method, the normalized airflow energy density and arc energy density features are combined into the joint feature sequence, so that the coupling relationship between the airflow performance and the arc discharge behavior of the lightning protection device can be captured, and the global detection state of slow evolution and instantaneous mutation of the equipment fault is realized; the lightning stroke threat intensity can be independently reflected by defining the dynamic risk index, lightning stroke threat propagation and topological network characteristics are combined in combination with lightning protection device performance detection data, and therefore transmission effect modeling of the lightning stroke dynamic risk is achieved.

This invention discloses an intelligent circuit breaker, comprising a circuit breaker control module and a tripping mechanism. The circuit breaker control module includes: a sampling isolation circuit for acquiring voltage signals between the live wire (L) and the neutral wire (N), the live wire (L) and the ground wire (PE), and the neutral wire (N) and the ground wire (PE), and also for isolating the line input terminal and acquiring the current signal of the ground wire (PE); an MCU controller, connected to the sampling isolation circuit and the tripping mechanism respectively, for determining whether the voltage signal and / or current signal reaches the protection threshold, and controlling the tripping mechanism to operate when the voltage signal and / or current signal reaches the protection threshold, thereby tripping the circuit breaker; and a back-end isolation circuit, disposed between the MCU controller and the tripping mechanism. This invention can acquire and monitor over / under voltage signals and current signals, and through isolation, ensures that the MCU controller is not affected by electromagnetic radiation from lightning strikes, keeping the intelligent circuit breaker always under control.

According to the helicopter thunder and lightning indirect effect simulation evaluation method provided by the invention, a simplified method of a complex aircraft model is provided, early prediction and protection design optimization of the thunder and lightning indirect effect of the aircraft are realized, the test cost is reduced, and the digital design and verification capability is improved.

The application discloses a lightning radiation waveform classification system and method, obtains lightning radiation waveform segment samples through a waveform segmentation method, and takes corresponding relationship samples of the lightning radiation waveform segment samples and a discharge event as training data sets; a convolutional neural network model is established, parameter optimization and training of the convolutional neural network model are carried out based on the training data sets, a completed classification model is acquired, the lightning energy spectrum of the lightning radiation waveform segment is calculated in a window, a waveform set to be classified is acquired, the data set to be classified is input into the completed classification model for classification, and a classification result is acquired. The application solves the problems of weak universality and low efficiency in lightning waveform classification, realizes accurate and efficient classification of lightning radiation waveforms, and has the advantages of strong model robustness and transparent and reliable classification process.

A lightning arresting device comprises a lightning arresting piece capable of leading lightning and a laser generator, the laser generator can generate laser for ionizing air to form a plasma channel, an opening is formed in the lightning arresting piece, and the laser penetrates through the opening in the induction direction and is emitted out of the lightning arresting piece, so that the lightning is led to the lightning arresting piece in the induction direction.

The invention relates to the technical field of electric signal processing, in particular to an intelligent thunder and lightning interceptor suitable for a railway overhead line system architecture area and a lightning protection method, and the method comprises the steps: collecting the lightning stroke current of each discharge rod of the intelligent thunder and lightning interceptor at each moment; determining a discharge rod corresponding to the lightning main channel based on the change rate of the lightning current on each discharge rod; determining the linear deviation of the main path at the current moment; obtaining an electromagnetic interference coefficient of each bypass path at the current moment, and screening a real lightning stroke bypass path in all the bypass paths; determining the bypass interference degree of the real lightning stroke bypass path at the current moment; and correcting the lightning stroke current of the lightning main channel at the current moment based on the main channel linear deviation, obtaining the total lightning stroke current at the current moment by combining the lightning stroke current of the real lightning stroke bypass channel at the current moment and the bypass interference degree thereof, and distributing and dredging the total lightning stroke current. Therefore, the effectiveness and the precision of the lightning interceptor are improved.

A lightning protection structure of an outdoor tower type meteorological monitoring station relates to the field of meteorological monitoring equipment and is used for improving the safety and stability of a down lead and prolonging the service life of the down lead. The outdoor tower type meteorological monitoring station lightning protection structure comprises a tower type support, a meteorological monitoring element, a lightning arrester, a downlead, a grounding device, a quartz sleeve and a shielding net. A vertical cavity is formed in the middle of the tower-shaped support and penetrates through the tower-shaped support. A plurality of meteorological monitoring elements are arranged, and the meteorological monitoring elements are distributed on the tower-shaped support. The lightning arrester is fixedly arranged on the top of the tower-shaped support and located on the upper side of the vertical cavity. The down lead is electrically connected with the lightning arrester, the down lead is vertically arranged on the tower-shaped support, and the two ends of the down lead penetrate through the vertical cavity; the grounding device is fixedly arranged underground, and the lightning arrester is electrically connected with the grounding device; the quartz sleeve is arranged in the vertical cavity and sleeves the outer side of the down lead; and the shielding net is made of a high-permeability material and is arranged outside the quartz sleeve.

The present application relates to the technical field of grounding resistance monitoring, in particular to a lightning protection grounding resistance real-time monitoring system based on the Internet of Things, which comprises a variable-frequency excitation collection module for generating a variable-frequency excitation signal superimposed with a low-frequency sinusoidal disturbance component according to a signal generator, loading the variable-frequency excitation signal to a lightning protection downlead input end, and generating a discrete voltage and current sequence. In the present application, the collected current response sequence is decomposed into multiple independent frequency band subspaces and the high-frequency node energy entropy is calculated, the information entropy theory is used to quantify the confusion degree of signal frequency energy distribution, the micro-arc discharge and high-frequency singular signals caused by mechanical connection loosening or contact surface oxidation can be captured, the static resonance resistance characteristics and dynamic contact entropy characteristics are combined, the health state discrimination of the grounding net from physical corrosion to contact stability is realized, and the situation that the lightning fire hazard caused by poor contact is covered due to the false qualified resistance value is avoided.

The invention provides an unmanned aerial vehicle obstacle avoidance method and system based on airborne sensor and lightning early warning fusion, and the method comprises the steps: obtaining airborne atmospheric electric field data and multi-source heterogeneous data, and carrying out the time-space alignment and multi-stage data fusion, and obtaining calculation parameters; based on the calculation parameters, combining a pre-constructed unmanned aerial vehicle lightning risk assessment model to obtain a lightning risk assessment value; constructing a three-dimensional risk field based on the thunder and lightning risk assessment value in combination with multi-source heterogeneous data; and obtaining an unmanned aerial vehicle route planning path based on the three-dimensional risk field in combination with a path planning algorithm, and completing obstacle avoidance. According to the constructed three-dimensional risk field, invisible thundercloud electric field intensity is quantified and mapped into a'dynamic obstacle 'in a three-dimensional space, so that the unmanned aerial vehicle has the capabilities of detecting and avoiding the thunder and lightning high-risk area, and the limitation that a traditional obstacle avoidance technology (such as a millimeter wave radar, a visual sensor and the like) only can identify an entity obstacle is broken through.

The present application relates to the technical field of resistance measurement, in particular to an intelligent lightning interceptor for a petrochemical plant area and an online grounding resistance measurement method. Based on the environmental complexity in the lightning process and the drainage capacity value of the intelligent lightning interceptor, the injection frequency is corrected to obtain the effective injection frequency value of the number of days with lightning; the current fluctuation in the number of days without lightning is analyzed to correct the injection frequency to obtain the effective injection frequency value of the number of days without lightning; the effective injection frequency values corresponding to the number of days with lightning and the number of days without lightning are combined to obtain the corrected injection frequency; and the online grounding resistance is measured according to the corrected injection frequency. The present application realizes adaptive adjustment of the injection frequency through historical monitoring data, avoids the problem of errors in the measurement of the online grounding resistance using a fixed low-frequency signal, and improves the ability to effectively discharge lightning in the lightning impact moment.

This invention discloses a clamping method for lightning overvoltage on overhead lines and a combined lightning protection and vibration prevention device. The method includes the following steps: based on the propagation characteristics of lightning waves in a medium, a local impedance abrupt change point is set on the overhead line to alter the propagation process of the lightning wave; wherein, the local lightning wave impedance at the local impedance abrupt change point is less than the overhead line impedance; when the lightning wave reaches the impedance abrupt change point, the voltage wave undergoes negative reflection while the current wave undergoes positive reflection, and the electric field energy of the lightning wave is converted into magnetic field energy, thereby achieving the clamping of the lightning overvoltage. This invention actively clamps lightning overvoltage through impedance transformation and achieves integrated lightning protection and vibration prevention, completely eliminating the dependence of traditional protection on low grounding resistance, effectively reducing the lightning tripping rate while eliminating spatial conflicts and mutual interference between devices.

The invention discloses an online monitoring alarm network system based on a lightning protection environment, and relates to the technical field of lightning protection monitoring, and the system comprises a data collection module which is disposed at an offshore wind power plant and is used for collecting multi-dimensional data including salt mist concentration, wind speed, lightning parameters and lightning protection equipment state parameters; the data processing module is in communication connection with the data acquisition module and is used for receiving, fusing and analyzing the multi-dimensional data, performing scoring calculation by constructing a quantitative scoring model and endowing each dimensional parameter with a weight, and outputting a quantitative risk level according to a total score interval judgment mode; the early warning and linkage module is in communication connection with the data processing module and is used for executing graded early warning and linkage control based on the risk grades; the data processing module is further used for calculating the health state index of the SPD and dynamically predicting the remaining effective life of the SPD based on the health state index and the real-time environment parameters. The system has the functions of self-adaption to environment change and lightning protection monitoring and early warning.

The application discloses a power distribution network communication fault type identification method and device, electronic equipment and storage medium, the method comprises the following steps: obtaining the voltage mode time-frequency matrix before and after the occurrence of the power distribution network communication fault, extracting the voltage fundamental wave amplitude, the voltage main harmonic amplitude and the voltage main harmonic amplitude frequency before and after the occurrence of the communication fault; obtaining the current mode time-frequency matrix before and after the occurrence of the power distribution network communication fault, extracting the current direct current amplitude, the current main harmonic amplitude, the current main harmonic amplitude frequency and the current total frequency band amplitude before and after the occurrence of the communication fault; based on the above parameters, a criterion is constructed to determine whether the power distribution network communication fault type is a lightning flashover communication fault or an insulator pollution flashover communication fault. Through the implementation of the application, the lightning flashover communication fault and the insulator pollution flashover communication fault in the power distribution network can be effectively identified, thereby significantly improving the operation reliability of the power distribution network and ensuring the safe and stable operation of the power system.

The invention discloses a convective bumping identification and prediction method and system based on multi-source data fusion, and the method comprises the steps: obtaining the QAR data of a target air route, calculating the vortex dissipation rate according to the inverted vertical wind frequency, and determining the time, position and intensity of the bumping of an airplane; the method comprises the following steps: acquiring multi-source observation data covering a target air route, performing quality control processing, identifying atmosphere convective cloud and lightning activities by integrating multiple thresholds, and constructing an air route convective bumping event set by combining the time, position and intensity of bumping of an aircraft in the target air route; obtaining reanalysis data covering the time-space range of the QAR data of the target air route, calculating a plurality of jolting indexes, and constructing an air route convective jolting integrated forecasting index in combination with the air route convective jolting event set; and calculating and outputting the time, the position and the probability forecast of the air route convective bumping in real time based on the air route convective bumping integrated forecast index.

The invention relates to the technical field of power system transmission line grounding engineering. A lightning current impact resistant conductive concrete pole tower foundation is characterized in that 1) a multi-component synergistic modified conductive concrete layered gradient formula system is adopted, and a'conductivity-enhancement-anti-aging 'synergistic optimized layered formula is designed; 2) a lightning current multipath directional current diffusion and gradient buffer integrated structure: (1) a three-stage current diffusion guide system; (2) a gradient buffer anti-crack structure; and 3) a damage full life cycle intelligent management and control system: (1) a multi-dimensional sensing network; (2) an active intervention and self-repairing mechanism; and 4) an extreme environment adaptive strengthening structure: (1) anti-frost heaving strengthening in a high and cold frozen soil region; (2) anticorrosion strengthening of the coastal high-salt-mist area; and (3) strengthening shear resistance and seismic resistance in a strong earthquake area. Directional shunting of lightning current, accurate buffering of thermal stress, real-time management and control of damage and adaptation to an extreme environment are achieved, and the impact resistance and service reliability of the foundation are greatly improved.

The invention discloses an ion enthalpy flux testing device and an ion enthalpy flux testing method for lightning return stroke damage analysis. The testing device comprises a metal net and a low-melting-point metal layer; the metal net is grounded and is used for leading out heat and electrons generated in the lightning return stroke process; the low-melting-point metal layer is not grounded, and an air gap is formed between the low-melting-point metal layer and the metal net; during application, ions generated in the return stroke of thunder and lightning pass through the metal net and then reach the low-melting-point metal layer through air gaps, and bombard the low-melting-point metal layer to generate hot melting damage; the ablation volume on the low-melting-point metal layer is used for representing the ion enthalpy flux. Separation of Joule heat, electron enthalpy flux and ion enthalpy flux is achieved, quantitative measurement of the ion enthalpy flux is achieved, and the accuracy of accumulative damage evaluation can be improved when the device is applied to lightning return stroke damage analysis.

The embodiment of the application discloses a detection method and device for a three-phase lightning arrester near a bus. The method comprises: obtaining detection data of the three-phase lightning arrester; determining a phase diagram between detection leakage current, target leakage current and interference current of the three-phase lightning arrester and an interference angle of the interference current leading the bus voltage according to the setting position of the three-phase lightning arrester; the phase diagram comprises an A-phase bus voltage interference phase diagram and a C-phase bus voltage interference phase diagram; thus, the leakage current characteristic parameters of the three-phase lightning arrester can be determined according to the A-phase bus voltage interference phase diagram, the leakage current characteristic of the three-phase lightning arrester, the detection data and the interference angle; or the leakage current characteristic parameters of the three-phase lightning arrester can be accurately determined according to the C-phase bus voltage interference phase diagram, the leakage current characteristic of the three-phase lightning arrester, the detection data and the interference angle; and the insulation state of the three-phase lightning arrester can be accurately determined according to the leakage current characteristic parameters.

The utility model discloses a multifunctional earth screen monitoring device which at least has the following beneficial effects: a power supply module; the control module is connected with the power supply module; the intelligent analysis module is connected with the control module, and the intelligent analysis module is used for obtaining the peak value, the wave head time, the wave tail time and the gradient of the lightning stroke current; and the lightning stroke current detection module is connected with the intelligent analysis module, and the lightning stroke current detection module is arranged on the earth screen main line and is used for obtaining the transient waveform of the lightning stroke current. According to the technical scheme of the embodiment, the lightning stroke type and the corrosion degradation trend of the ground screen can be effectively judged.

A lightning protection device of a tethered balloon communication system, comprising: a lightning protection net, a shielding layer, a protection circuit; the lightning protection net wraps the tethered balloon; the shielding layer is installed outside the communication module and the communication line of the tethered balloon and is connected with the lightning protection net; the protection circuit is connected inside the communication module and is used for protecting common mode and differential mode interference caused by lightning; the lightning protection net arranged outside the tethered balloon, the shielding layer and the protection circuit arranged inside the communication module are designed according to the characteristics of the communication system in the tethered balloon, the communication module and the communication line are treated in all directions, the damage caused by lightning to the communication module of the tethered balloon and the radiation and conduction interference in the lightning process are effectively reduced, the normal work of the communication module in the lightning process is ensured, and the accuracy and reliability of data transmission are ensured.

The utility model discloses a gravity self-balancing type cable lightning protection lightning receiving belt mounting structure, which is characterized in that a plurality of lightning receiving belt mounting pieces are provided with cable sleeve fixing parts and lightning receiving belt fixing parts, and are fixedly mounted on a cable sleeve through the cable sleeve fixing parts; and the lightning receiving belts are fixedly mounted on the lightning receiving belt fixing parts of the lightning receiving belt mounting pieces. Each lightning receiving belt mounting piece is also provided with a counterweight fixing part, and the counterweight fixing part and the lightning receiving belt fixing part are positioned in two opposite directions on the lightning receiving belt mounting piece; the counterweight belt is fixedly mounted on the counterweight fixing part of each lightning receiving belt mounting piece, so that the counterweight belt is suspended and mounted right below the cable through all the counterweight fixing parts and is arranged along the trend of the cable; and the counterweight belt is used for automatically applying a reset acting force to the lightning receiving belt by using the gravity of the counterweight belt when the lightning receiving belt deflects. According to the utility model, the mechanical balance and self-correction functions are realized through the counterweight belt, and the attitude stability and the lightning protection efficiency of the lightning receiving belt in a complex environment are ensured.

The invention provides a method and device for determining a lightning protection insulator in a power transmission line, and belongs to the technical field of power transmission. The method for determining the lightning protection insulator in the power transmission line comprises the following steps: acquiring a lightning protection level expected value of the power transmission line; obtaining a lightning current amplitude based on the lightning resistance level expected value of the power transmission line; utilizing an electromagnetic transient simulation model of the power transmission line to calculate energy absorbed by a lightning protection insulator when the power transmission line is struck by lightning under the lightning current amplitude, and obtaining an energy value of the lightning protection insulator; based on the energy value of the lightning protection insulator, determining and obtaining a resistor disc through-current capability index required by the lightning protection insulator; and determining and obtaining the model selection information of the lightning protection insulator based on the through-current capability index of the resistor disc required by the lightning protection insulator. And data support is provided for determination of the lightning protection insulator, so that the determined lightning protection insulator is more reliable.