384 results about "Lightning strokes" patented technology

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 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 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 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 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 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 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 relates to the technical field of thunder and lightning monitoring and protection, in particular to a thunderbolt positioning and energy analysis method and system based on a lightning rod monitoring network. The method comprises the following steps: collecting and verifying a lightning current waveform and a microsecond timestamp in real time, and measuring grounding resistance regularly; the terminal carries out filtering analog-to-digital conversion on the signal and extracts characteristic parameters, after packaging, the priority is set according to the current amplitude, and the priority is uploaded to the cloud platform; the cloud platform is associated with multi-terminal synchronous data, when the number of effective terminals is not less than three, coordinates of a thunderbolt point are calculated, integral operation is performed on a lightning current waveform in combination with actually measured grounding resistance to quantify single-time lightning stroke energy, and historical data are analyzed by using a long-short-term memory network model to realize equipment health diagnosis and life prediction. And displaying the thunderbolt point distribution thermodynamic diagram and the state evaluation report through a visual interface. According to the invention, the whole process management from data acquisition to intelligent decision making is realized, and the accuracy and predictability of lightning monitoring and protection are improved.

The invention discloses a lightning stroke observation system and method based on a dynamic visual sensor, and the system comprises the dynamic visual sensor which continuously obtains a dynamic sensing image of an observation region; the CMOS image sensor is used for continuously acquiring observation images of the observation area; the computer is used for continuously measuring and calculating the average brightness of the observation images of the two adjacent frames to obtain the change amplitude of the average brightness; when it is judged that the average brightness change amplitude exceeds a set threshold value, trigger signals are sent to the dynamic vision sensor and the CMOS image sensor; the dynamic vision sensor and the CMOS image sensor store a dynamic sensing image and an observation image through a computer based on a trigger signal; a lightning stroke observation message is generated based on the dynamic sensing image, the observation image, the triggering time and the like; the GPS antenna is used for recording the triggering time when the triggering signal is sent out; and the collector is used for collecting the electric field signal of the plate capacitor antenna, storing the electric field signal through the computer, and judging the polarity of the electric field signal.

The utility model discloses a photovoltaic sunshade. The photovoltaic sunshade comprises a photovoltaic assembly and a frame structure. The frame structure comprises a plurality of frame assemblies and a plurality of stand column assemblies, the photovoltaic assemblies are detachably placed in the frame assemblies, the upper end of each stand column assembly is used for connecting two adjacent frame assemblies, the lower end of each stand column assembly is provided with a grounding piece, the grounding pieces are electrically connected with the stand column assemblies, and the grounding pieces are used for grounding. A reliable lightning protection structure is added to the photovoltaic sunshade, and the photovoltaic sunshade can be prevented from being damaged by lightning stroke.

The embodiment of the invention provides a zinc oxide arrester control method and device, equipment and a storage medium. The method comprises the steps of obtaining environmental parameters and operating parameters of a power system during working, generating a dynamic safety threshold value based on historical operating parameters, environmental parameters and operating parameters which are obtained in advance, and controlling a zinc oxide arrester to be connected to a power grid when the operating parameters exceed the safety threshold value and the environmental parameters meet preset conditions. And when the operation parameters are continuously lower than the safety threshold within the preset time period, controlling to cut off the connection of the zinc oxide arrester, and adaptively adjusting a generation strategy of the dynamic safety threshold according to the operation state of the zinc oxide arrester and the change of the environmental parameters. Through the method, the power grid is effectively protected from being damaged by overvoltage such as lightning stroke, the stability and safety of the power grid are improved, energy loss and equipment abrasion are reduced, and the operation and maintenance cost is reduced.

The invention discloses a distribution line lightning stroke grading protection method based on geographical environment factors, and relates to the field of power system overvoltage protection and electromagnetic transient calculation, and the method comprises the following steps: S1, obtaining the real geographical environment parameters of a distribution line system; s2, performing multi-scale conductor distributed parameter modeling on the distribution line system; s3, modeling a nonlinear device of the distribution line system; s4, establishing a thunder and lightning channel model; s5, establishing a lightning arresting shielding model; s6, solving lightning stroke electromagnetic transient time domain response; step S7, lightning stroke risk comprehensive index output; step S8, lightning stroke risk grading protection; according to the invention, the output of the optimal differential protection scheme under the target protection level is realized, and a reliable theoretical basis and an effective technical path are provided for calculation and research of lightning electromagnetic transient effect of the overhead distribution line of the power system, random process evaluation of lightning activity and comprehensive protection design of line lightning.

The invention discloses a distribution line fault feature identification method, device and equipment, and relates to the technical field of distribution line fault identification, and the method comprises the following steps: collecting multi-source data triggered by a lightning stroke event, and constructing a unified data set; for each line section, extracting corresponding space-time fragment data from the unified data set, and forming a dynamic uncertainty index sequence based on a state change sequence of the section; performing space-time gradient analysis on the dynamic uncertainty index sequence, and extracting disturbance feature vectors representing lightning stroke response differences; and inputting the disturbance feature vectors into a pre-trained section fault probability identification model, evaluating the lightning stroke trigger fault probability of each line section, and determining a target fault section. According to the invention, rapid and accurate positioning of the fault section of the power distribution network in a complex lightning stroke scene is realized, and the power supply reliability is remarkably improved.

The invention relates to the technical field of power equipment monitoring, in particular to a lightning arrester on-line monitoring system based on self power supply. The system obtains electric energy from leakage current of a lightning arrester through an electricity taking module, realizes self-powered operation of the system, and comprises the electricity taking module, a power management module, a lightning stroke counting module, a leakage current acquisition module, a temperature monitoring module, a display and communication module and an SOC control module. According to the system, the temperature capacity is adopted as an aging state evaluation index of the lightning arrester, the temperature of the lightning arrester and the environment temperature are collected in real time, the corrected temperature capacity is calculated in combination with leakage current and lightning current correction coefficients and dynamic weight adjustment, and accurate aging state judgment is achieved. The system has the functions of periodic acquisition, event trigger detection, data correction, wireless communication and local display, supports long-term online monitoring and remote alarm, and effectively improves the accuracy and reliability of lightning arrester state monitoring.

The invention relates to the technical field of distribution line fault detection, in particular to a distribution line fault on-line detection method, device and system, and the method comprises the steps: obtaining the actual current of each phase line in a distribution line, and obtaining the line mode current of the distribution line through employing Karembert; calculating a peak saliency coefficient of each data segment and a first saliency value of each data segment to obtain a lightning fault saliency value of the line mode current so as to calculate a line mode current abnormal value of the distribution line; obtaining an actual current abnormal value of the distribution line according to the difference degree of any two phases of lines with respect to the actual current and the range condition of the actual current of each phase of line; and obtaining a lightning stroke fault evaluation value of the distribution line according to the line mode current abnormal value and the actual current abnormal value of the distribution line, and detecting the fault of the distribution line. The fault detection precision of the distribution line can be improved.

The invention discloses an ancient building lightning protection system and method based on a lightning early warning device, and belongs to the technical field of lightning protection systems, and the system comprises a sensing layer, a decision layer, an execution layer and a digital twin platform. The sensing layer collects multi-mode environmental parameters through an annular atmospheric electric field monitoring array, a broadband electromagnetic pulse sensor and a meteorological sensor. The decision-making layer fuses data and outputs four levels of risk levels through the risk prediction model of the ancient building LSTM combined attention mechanism, and generates a protection instruction; and the execution layer adopts a bionic hidden lightning receiving device (hidden in a non-working state), a passive corona field lightning driving device and a multi-stage historic building SPD, and responds according to a grading strategy. The digital twin platform constructs a high-precision model, and realizes data visualization and protection strategy simulation optimization. Passive lightning protection is converted into active intelligent protection, the situation that a traditional device destroys the style and appearance of an ancient building is avoided, secondary damage caused by lightning stroke is reduced, self-learning optimization can be achieved, and the requirements for safety and cultural relic protection are met.

The invention discloses a Helmholtz coil material lightning magnetic field shielding performance measuring device, which comprises a magnetic field generation device, a shielding test box is arranged in a magnetic field coverage range of the magnetic field generation device, an open hole is formed in the shielding test box, and the open hole enables a magnetic line of force of the magnetic field generation device to transversely penetrate through the shielding test box. The shielding test box is internally provided with the signal measurement unit, the signal measurement unit measures the magnetic field in the shielding test box, the lightning stroke magnetic field environment is accurately simulated, and the repeatability and accuracy of the shielding performance test are improved. The invention further discloses a method for measuring the lightning magnetic field shielding performance of the Helmholtz coil material, the lightning magnetic field shielding performance of the measured shielding material is measured by applying the device for measuring the lightning magnetic field shielding performance of the Helmholtz coil material, and the problem that traditional measurement is poor in accuracy is effectively solved.

The utility model relates to a standardized gap lightning arrester with an insulation support and a fault indication function, which comprises a standardized gap lightning arrester body, the insulation support is mounted at the lower end of the standardized gap lightning arrester body, a disconnector is mounted at the lower end of the insulation support, and a second screw is mounted at the tail end of the disconnector. A mounting hole is formed in one side, far away from the lower end of the standard gap lightning arrester body, of the insulating bracket, the mounting hole in the insulating bracket is connected with the mounting hole in the metal bracket through a first screw, and a second screw at the tail end of the disconnector is connected with the first screw at the joint of the insulating bracket and the metal bracket through a copper wire woven belt. According to the utility model, the disconnector, the insulating bracket and the metal bracket are arranged on the standard gap lightning arrester body, so that when the lightning arrester is broken down by lightning stroke, the disconnector falls off and forms a fault mark, operation and maintenance personnel can easily find a fault point and can carry out targeted maintenance, and meanwhile, due to the insulating bracket, secondary accidents can be avoided.

The invention discloses a lightning return stroke current inversion method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a lightning electromagnetic field waveform, position information of a lightning stroke point and position information of a detection station for positioning the lightning stroke point in a lightning stroke research area during a lightning occurrence period; extracting a plurality of sampling values from the lightning electromagnetic field waveform according to a preset sampling frequency; aiming at each sampling value, correcting the current sampling value according to the amplitude correction coefficient and the time delay correction coefficient, and generating each corrected sampling value; and performing inversion according to each corrected sampling value, the position information of the lightning stroke point and the position information of the detection station for positioning the lightning stroke point, and generating each lightning return stroke current. According to the invention, the accuracy of lightning return stroke current inversion can be improved.

The invention belongs to the technical field of radio frequency thunder and lightning positioning, and particularly discloses a wind turbine generator lightning arresting detection method based on radio frequency electromagnetic detection. According to the invention, the initial layout of the directional antenna is planned through the signal-to-noise ratio, the elevation angle and the number of stations in a constrained manner, thereby overcoming the defects that the omnidirectional antenna is low in signal-to-noise ratio and is liable to be interfered in a wind power plant, and achieving the selective focusing of a target airspace and the collection of high-signal-to-noise-ratio data. And station distribution parameters are iteratively optimized by simulating lightning signals, so that the capability of monitoring lightning stroke areas of key components of the fan is enhanced. Time parameters are accurately extracted by using the high gain characteristic of the directional antenna, and high-precision measurement of the time difference of arrival is ensured in combination with a unified time base alignment technology. Finally, a high-resolution three-dimensional lightning stroke channel form is inversely generated based on a spherical propagation model, the problem of detection interference in a complex environment of a wind power plant is systematically solved, and an accurate three-dimensional observation basis is provided for lightning stroke protection design and accident analysis.

The application provides a double-end optical lightning stroke positioning method and system applied to power overhead optical cables, and relates to the technical field of optical fiber sensing; the basic principle of positioning is to realize single-end lightning stroke positioning based on the obvious change of the polarization state of optical signals after the optical signals encounter lightning strokes; the application first uses counter-transmitted pulse polarized light to detect a single-end lightning stroke positioning point, then establishes a double-end positioning equation set to solve an actual lightning stroke positioning point, so that accurate lightning stroke positioning is realized; the application uses the Faraday optical rotation effect of lightning strokes on optical signals to realize lightning stroke positioning based on a polarized light time domain reflectometer; compared with traditional lightning stroke positioning, the application has low operation and maintenance cost, high precision, does not need wide-area accurate time synchronization, has a simple system, is convenient to install, and reduces the blind area of lightning stroke positioning.

The invention relates to the technical field of power grid management, in particular to a power transmission line lightning protection configuration method, which comprises the following steps: acquiring a lightning stroke transient simulation model based on line electrical and structural parameters; secondly, obtaining counterattack and shielding failure lightning-proof data through simulation in combination with the maximum lightning-proof bearing value; then, calculating corresponding counterattack and shielding failure trip-out rates based on the lightning-proof data; and finally, taking the two trip-out rates as core configuration indexes to generate and optimize a lightning protection configuration scheme of the power transmission line. According to the method, the lightning protection configuration is converted from experience driving to data driving through simulation quantitative evaluation, the lightning protection effect and economical efficiency can be scientifically and accurately balanced, and the lightning protection performance and the operation reliability of the line are effectively improved.

The invention relates to the technical field of wind power plant station lightning protection, and particularly discloses a wind power plant station current collection line lightning protection evaluation optimization method and system, and the method comprises the steps: obtaining current collection line site blocks and corresponding current collection line site data, and determining the clustering subarea of each site block according to the current collection line site data; determining a corresponding clustering center according to the clustering partition of the site block, and determining a lightning protection evaluation level of the site block according to the clustering center; historical lightning stroke events of the current collection line site are obtained, a strong association rule of the historical lightning stroke events is mined, and a lightning protection optimization strategy of the site block is determined according to the strong association rule; and judging whether the site block needs to be subjected to lightning protection optimization or not according to the lightning protection evaluation grade, and if the site block needs to be subjected to lightning protection optimization, performing lightning protection optimization on the site block according to a lightning protection optimization strategy. According to the invention, the lightning protection grade of the current collection line site can be accurately evaluated in blocks, and meanwhile, the targeted lightning protection optimization strategy is generated, so that the lightning protection performance of the current collection line site is effectively improved.

The invention provides a thunderstorm cloud spatial and temporal distribution identification method based on image processing, belongs to the field of novel power system protection, and mainly utilizes the characteristic that thunderbolt continuously generated in the continuous development process of thunderstorm cloud still presents concentrated distribution characteristics in longitude and latitude distribution characteristics. After a thundercloud thunderbolt data set is subjected to time scale stripping, thundercloud activity ranges represented by high-density thunderbolt points are integrated by utilizing a morphological processing means to obtain development time and activity space of each thundercloud, and thundercloud activity indexes acquired by a thunderbolt positioning system are utilized to obtain thundercloud thunderbolt data. And carrying out real-time judgment on thundercloud risk capable of causing lightning stroke of the fan matrix of the new energy power plant. The invention aims to solve the defects that a high-dimensional data set cannot be identified and thundercloud has space stacking in different time periods and is difficult to extract in the current generally applied density clustering method, so that the accuracy of thundercloud development time and activity range extraction is improved.