529 results about "Lightning strokes" patented technology

The invention specifically relates to a power transmission line fault diagnosis and visual early warning system. The system comprises the following parts: line data acquisition; fault analysis; image information acquisition, image analysis, meteorological analysis, comprehensive processing, state monitoring and an early warning module. According to the invention, multi-dimensional data such as a current value of a power transmission line, a leakage current value of an insulator, a lightning stroke condition and image information acquired by an unmanned aerial vehicle are comprehensively and deeply analyzed and processed to obtain a line state value, an image state value and a meteorological influence value, and an early warning value is comprehensively obtained. According to the invention, the fault hidden danger of the power transmission line can be accurately diagnosed, the accuracy and timeliness of fault diagnosis are improved, and the risk and potential loss of fault occurrence are effectively reduced.

The invention discloses a + / -800kV converter station lightning arrester insulation cooperation checking method considering multiple lightning strokes, and the method comprises the steps: S1, building a high-frequency electromagnetic transient simulation model according to the engineering practice and the high-frequency demands of lightning overvoltage simulation calculation; s2, multiple lightning stroke lightning current waveform parameters and lightning stroke time intervals are selected, and parameters capable of representing different frequencies of ground-to-ground lightning in the region where the research object is located are obtained; s3, simulating and analyzing residual voltage, current and absorbed energy of the lightning arrester at different positions of multiple lightning / multiple lightning shielding failure; s4, comparing and analyzing amplitude values of residual voltage, current and absorbed energy of the lightning arrester under single lightning stroke / multiple lightning stroke, and selecting a maximum value; and S5, proposing a lightning arrester configuration scheme, adjusting the type of the lightning arrester in the simulation model, and repeating the steps S3 and S4 to carry out secondary checking and adjustment. According to the method, a lightning arrester type selection scheme capable of effectively inhibiting single lightning overvoltage and multiple lightning overvoltage is provided, and the lightning accident rate of the lightning arresters in the converter station is reduced.

The invention discloses a power grid lightning stroke fault risk assessment method and system, and relates to the technical field of risk assessment, and the method comprises the following steps: obtaining the operation parameters of a power grid region with dense lightning activities, and constructing a dynamic power grid electrical model considering the load level and reactive compensation influence; obtaining thunder and lightning data and power grid fault data of the current thunder and lightning activity dense power grid area; constructing a lightning stroke fault risk assessment model based on a bp neural network according to the lightning related data and the power grid fault related data; and combining output results of the lightning stroke fault risk assessment model and the dynamic power grid electrical model, simulating power grid operation states and fault risks under different lightning protection strategies, and obtaining a lightning stroke fault risk level. According to the invention, the dynamic power grid electrical model and the lightning stroke fault risk assessment model are constructed to predict and assess the future operation state and the lightning stroke fault risk of the power grid.

The invention discloses a tower footing side slope stability limit balance evaluation method under a lightning impulse condition, which comprises the following steps of: simulating a lightning stroke side slope tower test in a laboratory by inputting a potential sliding surface parameter and a rock-soil body material parameter of a certain side slope; calculating to obtain a conversion coefficient of the stress variation of the potential sliding surface of the side slope and heat generated by lightning impulse current, and further obtaining a calculation formula of the stress variation value of the potential sliding surface of the tower footing side slope of the tower under the lightning impulse condition, and taking the stress variation value of the potential sliding surface of the tower footing side slope of the tower under the lightning impulse condition as an input parameter; according to the method, the stability safety coefficient of the slope is calculated, the stability of the tower footing slope under the lightning impulse condition is evaluated according to the stability safety coefficient, accurate evaluation of the stability of the tower footing slope under the condition that the lightning impulse influences the stability of the tower footing slope is achieved, and the accuracy of slope stability analysis under the extreme weather condition is improved.

The invention discloses a method, system and device for monitoring the quality of an operating lightning arrester, and the method comprises the steps: collecting a lightning current, a leakage current, the temperature of the lightning arrester and the environment temperature during lightning stroke, evaluating the residual life of the lightning arrester through the lightning current, and achieving the quality monitoring of the operating lightning arrester based on the residual life, the leakage current, the temperature of the lightning arrester and the environment temperature. Healthy operation of the lightning arrester can be ensured, safe and reliable operation of a distribution line can be ensured, and great economic value and social benefit are achieved.

The invention discloses a fault identification early warning method and system for a power transmission line, and the method comprises the steps: receiving a fault flashover signal, determining a generation region of the fault flashover signal, and obtaining a target image; determining whether the power transmission line in the occurrence area has abnormal discharge or not; if yes, performing image recognition to obtain a to-be-detected fault source; obtaining a tower gradient, an electromagnetic field and a radar change of a tower area in the occurrence area; determining a motion path of a current fault source, determining the type of the fault source through image snapshot, and determining a target fault source; obtaining meteorological data through a micro-meteorological sensor and network meteorological weather, and obtaining future and real-time galloping swing and galloping frequency of the power transmission line; and starting image snapshot to determine a target probability and an image of a secondary fault caused by a target fault source on the power transmission line by combining a galloping amplitude, a galloping frequency, a tree barrier, an ultrahigh engineering vehicle, a floating object, a lightning stroke and a value greater than an early warning value, determining a high-risk interval section, and sending an early warning picture and a video to a background in real time.

The invention relates to an ultra-high voltage line lightning resistance level evaluation method and device based on a tower head gap structure. The method comprises the following steps: constructing a simulation model according to line structure information and electrical parameters of an extra-high voltage line and tower structure information of a power transmission tower; inputting lightning current waveform parameters and lightning channel wave impedance parameters of the extra-high voltage line into the simulation model to obtain voltage distribution information and current propagation characteristic information of the extra-high voltage line under a lightning stroke condition; flashover criterion information is determined according to the insulator string discharge voltage characteristic information and the tower head air gap breakdown voltage characteristic information of the extra-high voltage line; and according to the voltage distribution information, the current propagation characteristic information and the flashover criterion information, determining a lightning resistance level evaluation result. By adopting the method, the influence of the breakdown characteristic of the tower head air gap, the complexity of the tower structure and the dynamic characteristic of lightning current propagation on the lightning resistance level evaluation can be comprehensively considered, and the accuracy of the lightning resistance level evaluation result of the extra-high voltage line is improved.

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 discloses a railway LEU-transponder transmission system lightning stroke fault risk assessment method, and the method comprises the steps: determining a lightning current invasion path through building a lightning stroke transient electromagnetic disturbance calculation model of an electromagnetic sensitive equipment port, and calculating the voltage and current at the port when incoming waves invade. And building an electromagnetic sensitivity test experiment platform of the railway signal system based on the lightning current invasion path and the voltage and current at the port. And performing label category prediction on the to-be-predicted sample point through each support vector machine model in the target model set, and voting each prediction result. According to the invention, a complex transmission relation between lightning transient electromagnetic disturbance and equipment failure risk is established through deep learning. The fault risk of the signal system under the lightning transient electromagnetic disturbance action is predicted through transient electromagnetic effect experimental data of real equipment of the railway signal system, and powerful support is provided for improving the electromagnetic sensitivity of the signal system and guaranteeing stable operation of a railway.

The invention discloses a fan blade lightning stroke current simulation method and system based on multi-physics field coupling, and belongs to the field of wind power generation equipment protection, and the method comprises the steps: building a three-dimensional geometric model of a fan blade; defining a multi-physical field environment including an electromagnetic field, a thermal field and a stress field; setting lightning stroke points on the three-dimensional geometric model according to lightning parameters; calculating electromagnetic distribution, temperature distribution and stress distribution in the blade in the lightning stroke process along the lightning propagation channel by using the electromagnetic field, the thermal field and the stress field based on the lightning stroke point, the lightning stroke basic information and the lightning attenuation rate; and constructing a lightning stroke current simulation result according to the electromagnetic distribution, the temperature distribution and the stress distribution, and performing visual display. The technical problem that the blade lightning protection design is insufficient due to the fact that the influence of lightning stroke on the multi-physical field interaction of the fan blade cannot be comprehensively and accurately simulated and analyzed in the prior art is solved.

The invention discloses a lightning protection system for an environment monitoring station and a use method of the lightning protection system, and relates to the technical field of lightning protection, and the system comprises a multi-stage composite grounding module, an intelligent energy distribution module, a lightning current monitoring module, a surge protection module and a grounding impedance optimization module. Comprising a main grounding body, an auxiliary grounding body and a deeply-buried grounding electrode, the grounding resistance can be remarkably reduced, the lightning current leading-in efficiency can be improved, when lightning current passes through, the multi-stage grounding structure can effectively disperse the current, overload of a single grounding body is avoided, and meanwhile the grounding resistance of the grounding body is improved. The intelligent energy distribution module can dynamically adjust a current distribution strategy between different grounding bodies according to the magnitude of lightning current, ensures that the deeply-buried grounding electrode is preferentially conducted under the condition of strong lightning stroke, starts a parallel discharge mode of the main grounding body and the auxiliary grounding body under the condition of weak lightning stroke, and guarantees the safe operation of the environment monitoring station.

The invention discloses a lightning stroke risk assessment method for an overhead transmission line tower, and the method comprises the following steps: determining an extreme consequence situation which may cause lightning stroke through a reverse risk recognition method, deducing a key region and a protection object for risk assessment, collecting environmental factor data related to lightning stroke, and carrying out the calculation of the environmental factor data. A relation model of the environment, the overhead transmission line tower structure and the lightning protection facility is constructed by combining lightning current signals collected by a Rogowski coil, the facility vulnerability is evaluated, a dynamic and plastic lightning stroke risk scene model is constructed based on the analysis result of environmental factors and the structural vulnerability, and the real-time monitoring data and historical lightning stroke information are combined. Adjusting model parameters, establishing a cross-dimension feedback self-adjusting mechanism, adjusting a risk assessment result in real time, dynamically assessing the result according to a situation, generating a protection strategy, arranging and constructing lightning protection facilities in a high-risk area, optimizing resource allocation, and effectively coping with lightning stroke events under different risk levels.

The invention provides a lightning protection monitoring method, system and device and a storage medium. The method comprises the following steps: detecting an electrostatic field signal of a target area; performing abrupt change reconstruction on the electrostatic field signal to obtain a plurality of abrupt change electric field values, and determining electric field energy based on waveform characteristics of the electrostatic field signal; a thundercloud discharge detection model is constructed through the electric field energy and all the abrupt change electric field values, and then a thunder early warning area is divided according to the discharge detection model; acquiring historical cloud-to-ground lightning distribution, fitting positioning features of the thundercloud in the thunder early warning area based on the historical cloud-to-ground lightning distribution, and fusing the positioning features and waveform features of the electrostatic field signals to obtain a moving trend of the thundercloud in the thunder early warning area; and establishing a lightning stroke risk coefficient of the target area through the moving trend, and performing lightning stroke early warning monitoring on the target area according to the lightning stroke risk coefficient. By adopting the scheme of the invention, short-time monitoring and early warning of thunder and lightning in a local area of a specific terrain can be realized.

The invention relates to a fire hazard degree comprehensive assessment method integrating forest lightning stroke parameters, and belongs to the technical field of forest fire early warning. The method comprises the following steps: acquiring a meteorological factor, a vegetation factor, a terrain factor, a lightning stroke factor, an exposure factor and a resistance factor in a determined spatial scale resolution; processing the meteorological factors through a meteorological index model to obtain a meteorological fire danger index; inputting the vegetation factor, the terrain factor and the lightning stroke factor into an ignition probability index model to obtain a lightning stroke ignition probability; based on the vegetation factor, the terrain factor and the meteorological fire danger index, obtaining a combustible flammability index through a fire danger index model; performing dimensionless processing on the exposure degree factor and the resistance degree factor, and calculating the exposure degree and the resistance degree; inputting the exposure degree E and the resistance degree R into a fire hazard degree comprehensive model to obtain a comprehensive fire hazard index; and performing automatic grading according to the threshold value and issuing the lightning fire early warning information in real time. According to the invention, the accuracy of comprehensive assessment of the fire hazard degree can be improved.

The invention provides a rainstorm lightning disaster risk early warning method and system based on an analytic hierarchy process, and the method comprises the steps: obtaining historical thunderstorm frequency data and thunderstorm movement path data of a target region, and analyzing and determining the sensitivity levels of different regions in thunderstorm activities; the lightning stroke risk assessment model is decomposed into a target layer, a criterion layer and a scheme layer by using an analytic hierarchy process; according to historical data including lightning stroke historical data, thunderstorm historical data and disaster damage historical data, performing pairwise comparison on each factor of the criterion layer, and constructing a judgment matrix; acquiring spatial position information and characteristics of different types of disaster-bearing bodies, performing overlay analysis according to spatial positions of the disaster-bearing bodies and the lightning drop point probability distribution map, calculating lightning stroke probability values of areas where the disaster-bearing bodies are located, and generating a disaster-bearing body risk level distribution map.

The invention discloses a radar station lightning protection device online monitoring method and system based on the Internet of Things, and relates to the technical field of equipment online monitoring. According to the invention, sensors are deployed in each component of the lightning protection device, real-time transmission and integration of monitoring data are realized by using the Internet of Things technology, a health degree evaluation model based on artificial intelligence is constructed, and remote automatic monitoring and health degree prediction of the lightning protection device of the radar station in a remote area are realized; according to the invention, the health degree evaluation model is combined with the correction coefficient to analyze the assembly evaluation data, and the health degree of each component is accurately predicted, so that the lightning protection effect of the lightning protection device is determined; according to the technical scheme, the space-time limitation of traditional manual inspection is broken through, the problem that a lightning protection device of a radar station in a remote area is difficult to monitor is solved, and conversion from passive maintenance to active prediction is achieved; through real-time data acquisition and intelligent analysis, potential hidden dangers of components can be found in advance, so that workers can take measures in time, and the lightning stroke risk is reduced.

The utility model discloses a lightning stroke protection circuit of an electromagnetic heating device, which comprises an over-current, over-voltage and interference suppression circuit, a rectification filter circuit and a resonance heating circuit which are connected in sequence, the over-current, over-voltage and interference suppression circuit comprises a fuse FS01, a piezoresistor RZ01, a piezoresistor RZ02, a filter capacitor CX01 and a filter inductor L1, wherein the AC-L of the alternating current is sequentially connected with the fuse FS01 and the piezoresistor RZ01 in series to return to the AC-N, the AC-L of the alternating current is connected with the filter inductor L01 and the piezoresistor RZ02 in series to return to the AC-N, and the filter capacitor CX01 is connected with the piezoresistor RZ02 in parallel; the resonance heating circuit comprises a wire coil, a resonance capacitor CXZ30, an IGBT 30 and a TVS tube group. According to the utility model, two groups of piezoresistors are adopted in the overcurrent, overvoltage and interference suppression circuit, and a filter inductor is arranged in front, so that the protection response speed is improved, the effects of reducing voltage and clamping high voltage are achieved, the lightning stroke protection on a bridge rectifier is improved, and the IGBT of the resonance heating circuit is connected in parallel with a TVS tube group, so that the lightning stroke protection on the IGBT is improved, and the service life of the resonance heating circuit is prolonged. Therefore, the overall lightning protection of the electromagnetic heating device is improved.

The invention relates to the technical field of power system protection equipment testing, in particular to an online testing method for a backup protector special for a surge protector, and aims to solve the problem that in the prior art, spectral characteristics under actual fault conditions such as lightning stroke or short circuit cannot be comprehensively reflected only by depending on power frequency testing. A high-frequency dynamic frequency sweeping signal is injected through the non-contact coupling unit, a multi-source signal fusion judgment mechanism is combined, the physical contact risk is avoided, meanwhile, real working condition simulation is achieved, the problems of test distortion, weak anti-interference capacity and aging monitoring deficiency in a traditional method are effectively solved, and the test accuracy is improved. The method has the technical effect of remarkably improving the test safety and accuracy.

The embodiment of the invention provides a lightning stroke counting method and device for a communication power supply. The lightning stroke counting method comprises the following steps: generating a plurality of sequential pulses for a plurality of ADCs in a time-interleaved analog-to-digital converter (TIADC); sequentially starting a plurality of ADCs to sample the lightning stroke voltage and the lightning stroke current according to the plurality of sequential pulses; and the plurality of ADCs output the sampling signals in sequence so as to complete lightning stroke counting of the communication power supply. According to the invention, the problem that the local lightning stroke frequency and the real working condition of the lightning protection device cannot be clearly and accurately known in the prior art is solved, and the effects of accurately counting the lightning stroke frequency and mastering the real working condition of the lightning protection device are achieved.

The invention discloses a lightning protection grounding protection device for a wind generating set, and the device comprises a main part which comprises a wind generating set cabin for a wind generating set, a wind generating set blade, and a wind generating set supporting column. The lightning protection grounding part comprises a lightning protection unit I arranged on the wind turbine generator cabin, a lightning protection unit II arranged on the wind turbine generator blade, a conductive unit arranged on the side wall of the wind turbine generator cabin, and a grounding unit arranged on the outer surface of the wind turbine generator supporting column; the lightning protection grounding device can realize double guarantee, effectively protect the top end of the blade of the wind turbine generator from being damaged by lightning stroke, effectively protect equipment in a cabin of the wind turbine generator from being damaged by lightning stroke, and improve the lightning protection grounding effect.

The invention belongs to the technical field of numerical simulation, and discloses a lightning stroke forest fire numerical simulation method, system and device based on a neural network and a medium, and the method comprises the steps: constructing a lightning stroke forest fire numerical simulation model based on an observation physical quantity, constructing a full-connection neural network, and enabling the input of the full-connection neural network to be coordinate points, the output is vector representation of the electric field and the magnetic field of the corresponding coordinate point; the coordinate points are space coordinates and time coordinates; sampling a group of training coordinate point data in the domain of definition; inputting the sampled coordinate data into the full-connection neural network for classification prediction, and training according to a target loss function to obtain a trained full-connection neural network; and predicting the distribution condition of the electric field and the magnetic field at any coordinate point in the domain of definition based on the trained full-connection neural network. According to the technical scheme, numerical simulation can be efficiently and accurately achieved.

The invention discloses a blade state monitoring device for a wind driven generator and the wind driven generator, and relates to the field of data monitoring, and the blade state monitoring device comprises a device integration multi-mode sensor module, a self-cleaning deicing module, a lightning stroke monitoring module, an edge calculation module, an anti-typhoon monitoring module, an energy supply module and a communication gateway module. Strain, vibration and temperature sensors are arranged at the root, the tip and the surface of the blade, and an icing detector is arranged at the front edge. And deicing is realized through hot air injection and the nano coating. And a lightning sensor and ultraviolet imaging are used for positioning lightning stroke. And an AI chip is arranged in the edge computing node to diagnose damage. The fiber grating sensor monitors typhoon strain. The solar film and the miniature wind driven generator supply power. And the communication module supports LoRaWAN and Beidou short messages. And the far-end intelligent diagnosis module predicts the service life through machine learning and provides maintenance suggestions. The system has the advantages that the blade state is accurately monitored in real time through the integrated multi-mode sensor and module technology, operation safety is guaranteed, the service life of equipment is prolonged, and efficient utilization of clean energy is facilitated.

The invention discloses a power transmission line lightning stroke current waveform inversion method and device, terminal equipment and a storage medium, and belongs to the field of electric pulses. The method comprises the steps of obtaining electrical parameters of a to-be-processed power transmission line and fault waveform data of a plurality of detection points; constructing a lossy transmission line equivalent circuit according to the electrical parameters and determining a telegraph equation; replacing a space differential in the telegraph equation with a central difference, and replacing a time differential in the telegraph equation with a forward difference to determine a lightning wave propagation model; inputting the fault waveform data into a lightning wave propagation model, and traversing each detection point according to a preset time step to obtain intermediate waveform data; the fault waveform data comprises a first voltage parameter and a first current parameter of the head end; the intermediate waveform data comprises a second voltage parameter and a second current parameter of the tail end; and determining the original waveform of the lightning stroke current based on the intermediate waveform data and a preset shunting coefficient. By implementing the invention, the problem that the real lightning waveform during the lightning stroke fault is difficult to accurately obtain in the prior art can be solved.

The invention discloses an overhead transmission tower lightning current monitoring system and method, and the method comprises the following steps: installing a multi-mode sensor module on a tower, and collecting a lightning current signal and structure response data; utilizing a local sparse dynamic window optimization algorithm to process the data segment by segment, extracting dynamic features and generating a multi-scale feature map; modeling a lightning stroke propagation rule through a space-time generative adversarial network, and generating a space-time characteristic matrix; constructing a spatial correlation map by combining a hypergeometric map embedding algorithm, and identifying a lightning stroke influence range and a diffusion path; dynamically adjusting a communication path and frequency distribution by adopting a Bayesian game optimization model; analyzing the potential influence of lightning stroke on the structure based on a multi-task self-supervised learning model, and predicting a time evolution trend; and comprehensively evaluating real-time and historical data through the remote monitoring terminal, and generating a risk prediction report and a protection reinforcement strategy. According to the invention, the problems of real-time performance, accuracy and environmental adaptability of lightning current monitoring are solved.

The utility model relates to a lightning protection and insulation withstand voltage protection circuit, which is characterized in that a circuit is formed by piezoresistors MOV1, MOV2, MOV3 and MOV4, when surge voltage such as lightning stroke and the like exceeds rated voltage, the values of the piezoresistors in a parallel circuit are suddenly reduced to be conducted, high voltage passes through gas discharge tubes G1 and G2, and after lightning transient overvoltage is discharged, the circuit is discharged by a grounding wire. Meanwhile, the resistance value of a piezoresistor MOV5 connected in the LN circuit in parallel is sharply reduced to be switched on, and a fuse Ft is burnt out by instantaneous strong current, so that electric equipment such as an LED power supply and the like is prevented from being damaged. In addition, the technical scheme has a protection mode of lightning protection and discharge resistor combination of resistors R1, R2 and R3, can meet the requirements of lightning protection and high voltage, has the characteristics of no leakage current, no follow current and the like, and effectively prolongs the service life of an LED system.

The invention discloses a lightning stroke windage yaw coupling risk assessment method for a power transmission line under a strong wind condition. The method comprises the following steps: acquiring meteorological parameters, line parameters and ground-to-ground lightning density; calculating the minimum air gap distance of each base tower under different windage yaw conditions; constructing an insulator string and air gap flashover criterion pilot model based on a pilot method; calculating the minimum wind speed value of the lightning resistance level and the gap flashover of each base tower; the electrical geometric model is improved based on a Monte Carlo algorithm, and the lightning trip-out rate is calculated; and evaluating a line risk level according to a calculation result of the lightning trip-out rate. According to the power transmission line lightning stroke windage yaw coupling risk assessment method under the strong wind condition, the accuracy of lightning stroke risk calculation can be improved, and a reference is provided for power transmission line lightning stroke windage yaw coupling risk assessment.

The embodiment of the invention provides a method and device for testing the operation reliability of a lightning protection insulator and a storage medium. The method comprises the following steps: carrying out voltage test on a to-be-tested lightning protection insulator and an insulation section thereof to obtain a voltage test result; performing tensile strength test on the lightning protection insulator based on the preset short-circuit current to obtain a tensile strength test result; applying a preset power frequency voltage to the lightning protection insulator through a power frequency power supply device in a power frequency impact test loop where the lightning protection insulator is located, so as to obtain a power frequency voltage waveform signal; when different phase angles of the power frequency voltage waveform signal are reached, controlling the power frequency impact test loop to output a corresponding lightning wave to the lightning protection insulator so as to obtain an insulation recovery capability test result; according to the voltage test result, the tensile strength test result and the insulation recovery capability test result, the operation reliability of the lightning protection insulator is determined more accurately, the lightning protection insulator can be ensured to operate normally in a network, and lightning stroke faults of a power transmission line and power equipment facilities thereof are reduced.

The invention discloses a fan blade lightning protection design method and system based on fan grounding resistance, and the method comprises the steps: analyzing a set grounding impedance model, and selecting a most suitable grounding impedance model; designing a fan grounding device according to the most suitable grounding impedance model; optimizing the grounding electrode according to the soil resistivity; based on a target of efficiently guiding and transmitting thunder and lightning, determining materials of a fan blade, a lightning protection lightning arrester and a down lead; through setting a connection mode, the lightning protection lightning arrester, the downlead, the blade root and the fan grounding device are firmly connected in pairs; according to the parameters of the fan blade and the potential difference between the fan blade and the ground, the electric field intensity in the fan blade during lightning stroke is calculated; and optimizing and adjusting the fan blade according to the electric field intensity. The fan blade can be protected from being struck by thunder and lightning, and damage to equipment and personnel is reduced.

The invention discloses an OPGW optical cable lightning stroke positioning monitoring system and monitoring method based on distributed optical fiber sensing. Comprising a DFB laser, a first optical coupler, an acoustic optical modulator, a pulse signal generator, a scrambler, a first EDFA optical amplifier, a first optical isolator, an optical circulator, an FBG filter, an OPGW sensing optical cable, an electro-optical modulator, a microwave signal generator, a polarization regulator, a second EDFA optical amplifier, a second optical isolator, a second optical coupler and a variable optical attenuator which are connected in sequence. A third optical coupler, a balance detector, a low-frequency amplifier and a data processing module. The system can quickly and accurately position the lightning stroke position of the OPGW optical cable by measuring the Brillouin scattering frequency shift and the vibration state of the scattering signal.

The invention discloses a non-contact lightning arrester leakage current and lightning stroke frequency acquisition system. The system comprises a lightning arrester installed on high-voltage equipment; the monitoring acquisition system comprises a microampere-level opening-closing high-precision leakage current transformer clamped on the lightning arrester grounding wire, and a leakage current acquisition module and a lightning stroke frequency acquisition module which are respectively connected with the microampere-level opening-closing high-precision leakage current transformer; the leakage current acquisition module is used for acquiring leakage current data measured by the microampere open-close type high-precision leakage current transformer; and the lightning stroke frequency acquisition module is used for obtaining lightning stroke waveform characteristics according to the leakage current data measured by the microampere-level open-close type high-precision leakage current transformer so as to judge the occurrence of a lightning stroke event and counting the lightning stroke frequency. The problem that an existing data monitoring device cannot be completely isolated from the primary side to be connected into an electronic circuit is effectively solved, and online installation can be achieved.