454 results about "Thunder" patented technology

The present invention relates to the technical field of power distribution networks. Disclosed are a disaster prevention early warning and production decision support method and system for a power distribution network. According to the present invention, multiple types of data from a data center can be integrated, and classification, analysis and feature extraction are performed on multi-source data of a power distribution network, and then without the need to install additional meteorological environment monitoring devices, by means of calculating a maximum wind load, a lightning trip-out rate, a maximum current carrying capacity at a highest allowable operating temperature, and an average failure frequency and an average failure time which consider environmental factors, a power outage risk of the power distribution network is evaluated, and risk grading is performed. After an emergency occurs, by means of analyzing a power grid topology structure after device shutdown, a device shutdown probability can be further calculated, and a load power outage probability and the power outage risk can be obtained. According to the present invention, pre-disaster early warning, in-disaster monitoring, and post-disaster emergency repair auxiliary decision-making for the power distribution network under disasters such as typhoons, thunder and lightning, floods and icing are implemented, providing data and service support for safety production, planning and management, and commanding and decision-making of the power distribution network.

The invention discloses a thunder and lightning monitoring and early warning method and system based on multi-source data fusion, and relates to the technical field of thunder and lightning early warning, and the method comprises the steps: extracting electric field time domain and frequency domain features, magnetic field change features, lightning activity modes and meteorological change features through obtaining atmospheric electric field, magnetic field, lightning activity and meteorological environment data in real time; and constructing multi-source feature data. A time sequence analysis and Bayesian fusion technology is adopted to calculate a correlation weight between data sources, and a fusion feature vector is generated. And establishing a weighted regression model based on the vector, calculating thunder and lightning occurrence probability through dynamic weight distribution, and generating a risk distribution map in combination with geographic information. The method has a closed-loop feedback optimization mechanism, model parameters and weights can be adaptively adjusted according to prediction errors and early warning accuracy, the accuracy, timeliness and environmental adaptability of lightning early warning are improved, and the method is widely applied to the fields of electric power, aviation, buildings and the like.

The invention discloses a multi-mode cooperative local intelligent thunder and lightning grading early warning method and system and a storage medium, and relates to the technical field of meteorological disaster early warning, the multi-mode cooperative local intelligent thunder and lightning grading early warning method comprises the following steps: preprocessing three types of heterogeneous data sources of lightning positioning data, radar cloud picture data and atmospheric electric field data; a unified input reference of space-time alignment is constructed, and then the lightning movement state, the thundercloud movement direction and the lightning occurrence probability are obtained through a lightning movement track prediction module, a thundercloud movement direction obtaining module and a lightning occurrence probability calculation module; fusing the lightning moving state, the thundercloud moving direction and the lightning occurrence probability through a multi-mode dynamic fusion module to obtain a lightning comprehensive risk probability and lightning predicted arrival time, and analyzing the lightning comprehensive risk probability Prisk and the lightning predicted arrival time Tarrival through a grading early warning module to obtain a lightning grading early warning result. The system overcomes the limitation of a single data source, is high in adaptability, and achieves the precise protection and early warning of local thunder and lightning.

The invention relates to the technical field of meteorological disaster early warning, in particular to a lightning disaster early warning system and method based on multi-source data, and the system comprises an atmospheric electric field monitoring module, an early warning strategy customization module, a risk area recognition module and a real-time early warning release module. According to the invention, through multi-source data integration and analysis and in combination with the regional electric field intensity and lightning frequency, the lightning activity intensity is accurately evaluated, the monitoring sensitivity and accuracy are significantly improved, and detailed data support is provided for intensity change, so that a more targeted early warning strategy is formulated; the safety level and the response requirement are optimized through frequency and intensity analysis, resource allocation is more reasonable, response time is more efficient, potential risk areas are further identified through path analysis, thunder and lightning conduction paths are refined, the risk areas are accurately calibrated, the early warning level is dynamically adjusted, it is ensured that early warning information has timeliness and space adaptability, and the early warning efficiency is improved. Powerful support is provided for power grid safety and lightning protection management, and the intelligent disaster prevention level is comprehensively improved.

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 thunder early warning model optimization method based on a deep learning algorithm. The thunder early warning model optimization method comprises the steps that five risk early warning levels are divided according to the distance between a thunder occurrence position and a target point, namely six corresponding early warning levels are obtained; selecting lightning positioning, radar extrapolation results and atmospheric electric field instrument data around the target point from the sample data set; and risk grading preprocessing is carried out on the thunder early warning probabilities and critical thresholds of the three early warning factors. The method has the following advantages that the precision is high, analysis and modeling are carried out through comprehensive multi-source data, information related to thunder and lightning occurrence and development can be captured more comprehensively, and therefore the precision of early warning is improved. Data can be obtained and processed in real time, early warning information can be updated in time, and the requirement of a user for the real-time performance is met. Personalized customization: personalized risk grading and early warning setting can be carried out according to characteristics of different target point locations and user requirements.

The invention belongs to the field of outdoor AGV safety protection, and particularly relates to a multi-sensor fusion outdoor AGV extreme weather safety protection method comprising the following steps: carrying out time synchronization and space synchronization on a laser radar, an infrared thermal imaging camera and a 4d millimeter wave lightning sensor arranged on an AGV; after original data acquisition is carried out on data of each sensor, sensor state abnormity judgment and data abnormity judgment are carried out, and abnormal data are processed; when the AGVs execute tasks and travel routes, the running states of the surrounding AGVs are obtained in real time through a scheduling system; performing feature-level and decision-level data fusion on the data of each sensor in combination with the running state of the AGV to obtain a safety protection area or obstacle existence information; performing rationality judgment on the range of the protection area, further calculating an AGV driving area, planning an AGV driving route and speed planning in the safety protection area, and controlling the AGV to operate; otherwise, AGV parking protection is controlled.

The invention discloses a broadband lightning very high frequency radiation source positioning method based on an ESPRIT algorithm, and the method comprises the steps: 1, constructing an orthogonal uniform linear very high frequency antenna array, and collecting broadband lightning very high frequency signals; 2, discrete Fourier transform is carried out on the broadband thunder and lightning very-high-frequency signals, the broadband thunder and lightning very-high-frequency signals are divided into J frequency points, and the frequency domain value of each frequency point signal is worked out; step 3, dividing the orthogonal uniform linear very high frequency antenna array into two sub-arrays in an x-axis direction and a y-axis direction, positioning each frequency point value of the signals in the two directions by using an ESPRIT algorithm, and respectively obtaining a calculation incident angle of each frequency point in the two directions; step 4, carrying out phase ambiguity resolution on the calculated incident angles of each frequency point in the two directions so as to obtain a real incident angle; and 5, calculating the azimuth angle and the elevation angle of the radiation source according to the real incident angle. According to the invention, rapid and refined positioning imaging of the lightning radiation source can be realized.

The invention relates to the technical field of aircraft lightning protection tests, and discloses an aircraft lightning indirect effect and HIRF conduction sensitivity test device and method, and the device comprises a device under test (EUT), an accompanying monitoring device, an auxiliary device, an HIRF injection probe, a lightning injection probe, a monitoring probe, a lightning signal isolator, and an HIRF conduction test system. The invention discloses a lightning indirect effect test system and a digital oscilloscope. Aiming at the problem of electromagnetic environment potential safety hazards caused by independent evidence obtaining and independent rectification of civil aircraft thunder and lightning and HIRF airworthiness, thunder and lightning indirect effect and HIRF conduction sensitivity tests can be simultaneously carried out on an aircraft electronic and electrical system, the thunder and lightning and HIRF comprehensive protection performance of the aircraft electronic and electrical system is verified, and the potential safety hazards of the electromagnetic environment are effectively reduced. The thunder and lightning indirect effect and HIRF conduction sensitivity test device is simple in construction and easy for engineering realization, and can also be used for thunder and lightning and HIRF protection performance verification tests of other aircrafts.

The invention discloses a thunder approaching prediction method and device based on multi-source meteorological data, and particularly relates to the technical field of thunder disaster prediction.The method comprises the steps that standardization processing of temporal-spatial resolution unification is conducted on meteorological satellite data, radar data and lightning positioning data, and standardized temporal-spatial input data is generated; then spatial-temporal features are extracted through a depth separable 3D convolution module, and a compressed spatial-temporal feature graph is generated; then, a channel-space double attention mechanism (CPCA) is applied to the compressed feature map for feature optimization; and finally, processing the optimized feature map through a coding-decoding structure, and outputting a thunder and lightning probability distribution map. According to the method, the problem of spatial-temporal resolution difference and physical feature mismatching in multi-source data fusion is innovatively solved, the calculation efficiency is remarkably improved through a lightweight network architecture, the feature expression ability is enhanced by using an attention mechanism, and high-precision prediction of sudden thunder and lightning events is realized.

The invention relates to the technical field of ship thunder and lightning protection effect verification and evaluation, in particular to a natural thunder and lightning pilot ship thunder and lightning attachment point prediction method. According to the method, the ship scale model lightning attachment test simulating natural lightning pilot is carried out, so that the areas, positions and times of lightning attachment or breakdown of a ship deck, equipment and parts on the deck and the like can be counted, and the lightning attachment probability of the ship surface equipment can be accurately predicted; and meanwhile, according to the prediction result, the natural lightning leading lightning attachment area is divided, effective support can be provided for lightning protection of equipment and parts in each lightning subarea of the ship, and the method has important significance for ship lightning protection design and evaluation of lightning risk of key parts of the ship and lightning rod protection effect.

The invention relates to the technical field of thunder and lightning testing, and discloses a full-aircraft thunder and lightning induction signal multi-point synchronous measurement system and method, and the method comprises the following steps: S100, determining the type of a signal needing to be measured and the frequency range of the signal needing to be measured according to the type of an aircraft needing to be measured, the condition of a testing site and the expected measurement precision; and S200, determining a signal type needing to be measured and a frequency range of the signal type needing to be measured according to the airplane type needing to be measured, the test site condition and the expected measurement precision. The analog photoelectric transmission system with adjustable gain is used for converting electric signals into optical signals and transmitting the optical signals to the measurement and control room, interference distortion of the measurement signals in the transmission process is effectively prevented, multiple paths of signals can be transmitted into the measurement and control room at the same time for centralized analysis, and the problems that it is difficult to break through simultaneous measurement of more than 10 paths of signals, the construction period is long, and the measurement accuracy is high are solved. And data analysis is difficult.

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 discloses a short-wave strong electromagnetic pulse suppression circuit with direct current and control functions. The short-wave strong electromagnetic pulse suppression circuit comprises an I-stage transient protection circuit, a three-signal circuit and an II-stage transient protection circuit, the I-stage transient protection circuit is formed by connecting two stages of gas discharge tubes in series and is used for protecting a low-frequency part in the lightning electromagnetic pulse or the nuclear power electromagnetic pulse, and the output end of the I-stage transient protection circuit is connected with the three-signal circuit; the three-signal circuit provides a path for transmission of the short-wave signal, the direct-current signal and the control signal and carries out transient protection, and the output end of the three-signal circuit is connected with the II-stage transient protection circuit; and the II-stage transient protection circuit is a voltage clamping circuit consisting of a low-capacitance diode and a bidirectional transient suppression diode, and is used for protecting a high-frequency part in the lightning electromagnetic pulse or the nuclear power electromagnetic pulse and clamping the residual voltage at a relatively low level. The device can effectively protect thunder and lightning and nuclear power electromagnetic pulses, has the characteristics of small insertion loss, low residual voltage and the like, and can greatly improve the strong electromagnetic environment viability and anti-interference capability of a short-wave radio station.

The invention provides a substation micrometeorological monitoring system and an early warning method. A monitoring device is provided with a six-element meteorological sensor, a lightning sensor, a data acquisition preprocessing module, an edge calculation module, a communication module, a power supply module and an anti-surge module. Local micro-meteorological data of a transformer substation are comprehensively acquired through a six-element meteorological sensor and a lightning sensor, and the meteorological data of the transformer substation are analyzed, processed and protected through a data acquisition preprocessing module, an edge calculation module, a communication module, a power supply module and an anti-surge module; the early warning system realizes comprehensive meteorological monitoring and lightning early warning of the transformer substation through five steps of data acquisition, data preprocessing, feature extraction, data fusion and early warning triggering. According to the substation micro-meteorological monitoring device and the early warning system, traditional six-element meteorological monitoring is expanded, extreme weather such as storm, rainstorm and thunder is warned in real time, the disaster prevention capability of the substation is improved, real-time linkage management is achieved, and the safe operation of the substation is improved.

The invention discloses a lightning early warning method based on atmospheric electric field networking data, which relates to the technical field of lightning early warning, and comprises the following steps: dividing electric field instrument data into time windows with a certain length, integrating and splicing effective data, and dividing the data into a crossed and overlapped region and a non-crossed and overlapped region; determining whether lightning activity occurs in each region or not to obtain a data set; a graph convolutional network model with an adjacent matrix is constructed, whether different electric fields are crossed or not is obtained according to the adjacent matrix, and if not, independent training is directly carried out; if the similarity m of the data of the electric field instruments is greater than or equal to 0.6, determining that the area is a crossed overlapping area, and performing fusion training on the data of the electric field instruments participating in the crossing; and if m is less than 0.6, determining that the area is a non-cross overlapping area, and at the moment, independently training data of different electric field instruments to obtain a thunder and lightning early warning model. According to the method, the capability of judging and fusing the signal confidence in the overlapping region is improved, and the accuracy and reliability of lightning early warning are improved.

The invention relates to the technical field of thunder and lightning signal sampling, and discloses a GAN-based thunder and lightning very-low-frequency electromagnetic wave signal up-sampling method, a terminal and a medium. The method comprises the following steps: preprocessing a lightning very-low-frequency low-sampling signal and a real high-sampling signal; constructing a generative adversarial network; the generator is used for extracting initial features from the low-sampling signals and performing residual enhancement, then mapping low-sampling features after residual enhancement to a high-sampling dimension through a feature-guided dynamic interpolation mechanism, and performing correction and signal mapping on intermediate features after interpolation to obtain reconstructed signals matched with a target high-sampling rate; the discriminator is used for reconstructing the authenticity probability of the signal; after a generator and a discriminator are jointly trained by adopting an alternative updating mode of discriminator loss and generator loss, a newly input low sampling signal is preprocessed, and a corresponding reconstruction signal is output through the generator. According to the invention, accurate reconstruction from a lightning very-low-frequency low-sampling signal to a high-sampling signal is realized.

The invention provides a joint early warning method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of cloud / ground lightning monitoring data collected by at least one lightning locator in a monitoring region, and a plurality of electric field intensity change data collected by at least one atmospheric electric field instrument; after a thunderstorm cloud trajectory communication scheme between thunderstorm cloud areas is obtained according to the cloud / ground lightning monitoring data, a thunderstorm cloud motion trajectory extrapolation model containing dynamic prediction information of a thunderstorm cloud tracking trajectory is constructed; after eliminating a data residual error in each electric field intensity change data, constructing an electric field early warning model, and generating electric field early warning information at least comprising an electric field amplitude value and an electric field difference value according to a preset condition; and performing combined early warning according to the dynamic prediction information of the thunderstorm cloud tracking trajectory and the electric field early warning information. According to the method, the obtained thunderstorm cloud tracking trajectory, the obtained electric field amplitude early warning result and the obtained electric field difference early warning result are combined, and a more accurate thunder and lightning early warning result can be obtained.

The invention discloses a real-time thunder and lightning positioning method. A plurality of observation station GNSS (Global Navigation Satellite System) synchronously acquire thunder and lightning signals to obtain waveform data; performing FFT band-pass filtering and denoising processing on the lightning signal waveform data; a sliding window dynamic threshold is adopted to extract peak value characteristics, peak value characteristics (tp, Ap and Wp) of a waveform in different time windows are obtained, a local noise standard deviation is calculated, only an effective peak value is reserved, and real-time return of lightning data is realized while positioning precision is ensured. The calculation center reconstructs the waveform based on the peak value characteristics (tp, Ap, Wp), the reconstructed waveform more accurately reflects the characteristics of the lightning signal, and the time delay measurement error caused by signal distortion is reduced. And calculating the mutual correlation of the reconstructed lightning waveform data of every two observation stations, extracting the maximum correlation time delay, calculating a TDOA equation set by adopting a weighted nonlinear least square method according to the signal time delay information, and outputting a three-dimensional lightning positioning result. And evaluating the reliability of the positioning result through residual analysis and geometric accuracy factors.

The invention relates to the technical field of aircraft thunder and lightning tests and protection, and discloses an aircraft thunder and lightning small test pneumatic discharge device which comprises a pneumatic transmission unit, a thunder and lightning waveform discharge unit and a residual charge discharge unit. The pneumatic transmission unit comprises an air compressor, an air inlet valve, an air storage tank, a pressure regulating valve, an electromagnetic valve driving unit, a main path pneumatic pipeline, a control valve I, a control valve II, a pneumatic cylinder I and a pneumatic cylinder II, and the lightning waveform discharge unit comprises a high-voltage discharge switch I, a high-voltage discharge electrode I and a trigger electrode. The residual charge discharging unit comprises a second high-voltage discharging switch, a first discharging resistor and a second discharging resistor, the discharging device of the mobile aircraft lightning test equipment can achieve high-quality discharging of the maximum 200kV and the maximum 200kA, meanwhile, the safety of an aircraft lightning test can be guaranteed, the designed high-voltage discharging electrode is small in size and convenient to install, and the discharging device of the mobile aircraft lightning test equipment is convenient to use. And interference of a strong electromagnetic environment in the square cabin can be avoided by adopting air pressure transmission.

The invention discloses a thunder-vision fusion multi-sensor collaborative sensing system along a railway and an installation and calibration method, and belongs to the technical field of intelligent traffic and environment sensing. Aiming at the problems of low target detection precision, poor multi-source data fusion timeliness, dependence on manpower on sensor installation and calibration and the like in a complex scene along a railway, the system provides an innovative architecture of'layered sensing-dynamic fusion-autonomous calibration '. The multi-modal sensor array of a laser radar, a millimeter-wave radar, a visible light camera and a thermal infrared imager is deployed; autonomous optimization of sensor pose parameters is realized by using track geometric constraint and a deep learning model; an edge computing node and a cloud collaboration platform are integrated, and real-time target tracking, intrusion early warning and equipment state diagnosis are supported. Experiments show that the target detection accuracy rate of the system is greater than or equal to 98.5%, the false alarm rate is less than or equal to 0.3% and the self-calibration error of sensor installation parameters is less than 0.05 degree in the scenes of rain and fog, night, high-speed movement and the like, which are improved by more than 40% compared with the traditional scheme.

The invention discloses a camera calibration method and device based on Leiye matching and a storage medium, and the method comprises the steps: carrying out the radar detection and image recognition of a to-be-detected region, obtaining the radar data and image data of a target object in the to-be-detected region, and enabling the radar data to comprise the radar position and the image position; the image data comprises pixel positions; performing synchronous processing on the radar position and the pixel position to obtain a position matching pair; the position matching pair comprises a target radar position and a target pixel position of the target object; projecting the target radar position to a pixel coordinate system where the target pixel position is located according to the obtained initial external reference and a pre-calibrated camera internal reference, and obtaining a projection position of the radar position in the pixel coordinate system; and performing iterative adjustment on the initial external parameter according to the distance between the projection position and the target pixel position to obtain a target external parameter. According to the scheme, the camera calibration efficiency can be improved.

The invention provides a thunder and lightning activity meteorological association rule mining method and device and electronic equipment, and the method comprises the steps: firstly mining a first meteorological association rule of thunder and lightning activity through employing a Bi-Eclat algorithm, and gradually reducing the search space, reducing the redundancy, reducing the memory and improving the mining efficiency compared with a conventional Eclat algorithm; on this basis, a neighborhood grid of each geographic grid is determined by using a KNN model, a second meteorological association rule of lightning activity is mined by using meteorological factor data of the neighborhood grid, the intersection of the first meteorological association rule and the second meteorological association rule is solved to obtain a final meteorological association rule, mining results of the Bi-Eclat algorithm and the KNN model are mutually corrected, and the lightning activity is obtained. The defects that a traditional method is low in efficiency, large in memory occupation, sensitive to data density, limited in adaptability, capable of scanning data for multiple times and the like are overcome, and higher efficiency and higher applicability are achieved.

The invention discloses a comprehensive lightning protection method and system for a large river model, and the method comprises the steps: S1, laying a conductive grid with a layered shielding characteristic at the periphery of the model, and shunting a lightning current to the ground through a multi-node grounding structure; s2, arranging electromagnetic field and electrostatic field detection equipment, and generating initial lightning activity analysis data; s3, calculating the gradient change of the electric field, the lightning discharge possibility and the path range through rule derivation and statistical analysis in combination with historical lightning data, and generating a lightning activity analysis result; s4, based on an analysis result, starting an intelligent early warning system, triggering an audible and visual alarm in a high-risk area, and recording a lightning activity range; s5, adjusting the shielding configuration of the conductive grid to enable the conductive grid to adapt to the dynamic change of lightning activity; and S6, after the thunder and lightning activity is finished, analyzing the monitoring data and generating a thunder and lightning event analysis report. According to the method, lightning monitoring, early warning and protection are integrated, and the lightning protection effect and the data traceability are improved.

The invention provides a directional ultra-short strong field electromagnetic pulse generation device, a plasma channel is formed through laser targeting gas and ultra-short strong field electromagnetic pulses are generated, the device comprises a high-power laser, a laser focusing module, a gas target module and a vacuum cavity, the high-power laser is used for generating femtosecond laser pulses and emitting the femtosecond laser pulses into the vacuum cavity; the laser focusing module is arranged in the vacuum cavity and is used for focusing femtosecond laser pulses generated by the high-power laser onto the gas target; the gas target module is arranged in the vacuum cavity and used for generating a high-density gas target and spraying the high-density gas target upwards, and a gas spraying opening of a gas target nozzle is located below the laser focus and can be adjusted in an electric control mode. According to the invention, escape electrons with charge quantity larger than that of a solid target and a low-density gas target can be generated, and laser forms arc discharge similar to thunder and lightning cloud in near-critical density plasma to generate EMP, so that electromagnetic radiation which is stronger than that of the solid target and far better than that of a common gas target can be generated.

The invention discloses a high-speed rail perimeter intrusion alarm method and system based on thunder-vision fusion, and solves the problem of low reliability of high-speed rail perimeter intrusion alarm in the prior art, and the method comprises the steps: carrying out the weather detection and rail surface foreign matter detection based on radar data, and generating radar weather information and radar alarm information; weather detection and rail surface foreign matter detection are carried out based on video data, object tracking is carried out on a moving target and a low-confidence target by adopting a similar SORT algorithm in combination with IOU, gradient and LBP, and video weather information and video alarm information are generated; decision-level fusion is carried out on the weather information and the alarm information, and effective alarm information is reserved; and performing priority weighting on the effective alarm information in a period of time, and taking the alarm information with the highest priority as final alarm information. According to the method, the reliability of object tracking is improved, the considered influence factors are more comprehensive, and the reliability of high-speed rail perimeter intrusion alarm is further improved.

The invention relates to the technical field of thunder and lightning measurement, and discloses a device and a method for measuring conduction current of a suspension conductor before breakdown, and the device comprises a high-voltage flat plate, a grounding flat plate, an insulating support table, an openable metal shielding box, a current sensor and a first rod electrode, an insulating support column is arranged in the middle of the insulating support table, a current sensor is installed on the outer wall of the top of the insulating support column, an adjusting screw hole is formed in the middle of the upper surface of the top of the openable metal shielding box, the adjusting screw hole is in threaded connection with an insulating screw sleeve, and a first rod electrode is inserted into the insulating screw sleeve. According to the invention, the height difference between the rod electrode and the high-voltage flat plate is adjusted by using the adjustable threaded sleeve, the breakdown current is measured in the combined gap breakdown process, the conduction current caused by charge migration on the suspended conductor is obtained in the pilot-streamer plasma stage before the arc appears, and the smaller conduction current is effectively collected.

The invention relates to the technical field of intelligent sensing thunder and lightning interceptors, in particular to an intelligent thunder and lightning interceptor and a lightning surge pulse protection method, and the method comprises the steps: measuring a thunder and lightning current sequence when thunder and lightning occur through a thunder and lightning current recorder, dividing the thunder and lightning current sequence to obtain thunder and lightning current subsequences, and calculating the thunder and lightning change rate of each thunder and lightning current; determining the lightning magnetic field deviation degree of each lightning current based on the difference between the lightning change rates of each lightning current and the adjacent lightning current and the average value of the lightning change rates of all lightning currents in the lightning current sub-sequence, and obtaining the lightning magnetic field interference intensity of each lightning current by combining the difference between each lightning current and the average value of the left and right adjacent lightning currents. Calculating a lightning magnetic field correction coefficient of each lightning current, and correcting each lightning current in the lightning current sub-sequence; and intercepting thunder and lightning by adopting a thunder and lightning interceptor according to the corrected amplitude spectrum and energy spectrum of the thunder and lightning wave. The lightning current data precision can be improved, and the lightning interception accuracy is ensured.

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 a lightning falling area identification method and system, and belongs to the field of lightning data processing, and the method comprises the following steps: (1) obtaining the real-time lightning positioning data of an area to be forecasted; (2) searching and determining a thunder and lightning group for identifying the thunder and lightning group, namely identifying an area where thunder and lightning are densely generated within a preset time and space range; and (3) delimiting a lightning falling area which is used for determining a specific geographical falling area of the lightning group so as to carry out accurate lightning early warning and disaster prevention. The method has the advantages that (1) the method for determining the thunder and lightning groups through optimization and searching is more efficient and lower in complexity compared with a traditional proximity method; (2) the provided convex hull method is more accurate than the traditional ellipse method for delimiting the lightning falling area, so that the prediction of the future lightning falling area is more accurate; compared with a traditional ellipse method, the convex hull method is simpler in calculation and lower in consumed computing power, and is very important for business real-time prediction of future lightning falling areas.