280 results about "Thunder" patented technology

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 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 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 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 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 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 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.

The invention provides an active train sensing system and method based on thunder and vision fusion. Comprising an acquisition module used for acquiring multi-path image data containing different focal length images and three-dimensional point cloud data corresponding to the front of a train; the time synchronization module is used for generating synchronous image data and synchronous three-dimensional point cloud data; the coordinate transformation module is used for establishing a spatial transformation relation between the three-dimensional point cloud coordinate system and the image coordinate system; the image sensing module is used for inputting the synchronous image data and the three-dimensional point cloud data into the target segmentation network to obtain track coordinates; the point cloud sensing module is used for obtaining three-dimensional point cloud data in front of the train; and the thunder-vision fusion module is used for distributing an accurate center representative coordinate for each obstacle, generating structured obstacle information and outputting the structured obstacle information to a vehicle-mounted train control system. The multi-source sensing information utilization rate can be improved, the track obstacle recognition and three-dimensional positioning precision is improved, and the system sensing stability in a complex scene is enhanced.

The invention relates to the technical field of data processing, in particular to a thunder and lightning monitoring method and device, electronic equipment and a storage medium. The method comprises the steps that environment information such as air ion concentration of a current area is collected in real time, lightning influence data can be accurately determined, then the lightning occurrence probability in the current period is predicted based on the data, timely and accurate lightning early warning can be provided, relevant departments and the public are helped to take precautionary measures in advance, and the early warning efficiency is improved. The loss caused by lightning disasters is reduced, and a detailed monitoring report is generated for subsequent analysis and research, so that the accuracy and efficiency of lightning monitoring and early warning are improved.

The invention discloses a multi-physical field test device based on simulation of thunder and dust coupling, belongs to the technical field of climate simulation tests, and provides the following scheme that the multi-physical field test device comprises a test bin, and an upper sealing assembly is arranged above the test bin; the upper sealing assembly is lifted upwards, so that the sealing cloth is pulled open in advance to keep the test bin sealed, the lower sealing assembly is driven by the sliding rod to move upwards, the rotary clamping assembly drives the test piece to be separated from the sealing ring upwards, meanwhile, the protective cover makes contact with the sealing ring, and at the moment, the load bearing plate is lifted upwards by a certain height for material taking operation; in this way, the sealing effect of the test bin can be achieved, sand and dust are effectively prevented from overflowing from the cavity in the sample taking-out process, waste of sand and dust resources is reduced, pollution of the sand and dust to the external test environment is avoided, the environment maintenance cost in the test process is reduced, the sample taking and placing process is controlled through a pure mechanical structure, and the test efficiency is improved. And the damage of strong electromagnetic interference generated during lightning simulation to the power control system is avoided.

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 an overhead ground wire non-outage direct current deicing method, medium and system, and the method comprises the steps: determining the length of an overhead ground wire section to be deiced according to the obtained overhead ground wire parameters, overhead ground wire icing conditions and meteorological environment parameters; according to the resistance corresponding to the length of the ground wire section, the overhead ground wire parameter, the icing condition and the meteorological environment parameter, obtaining an ice melting current; calculating a lightning current value according to the overhead ground wire parameters and the lightning current peak value; if the maximum ice-melting current is greater than or equal to the thunder current value, reducing the length of the ground wire section until the maximum ice-melting current is less than the thunder current value; if the maximum ice melting current is smaller than the lightning current value, insulation transformation is carried out on the ground wire; and connecting the transformed ground wire section with a direct-current ice melting device to form an ice melting loop, and carrying out direct-current ice melting without power failure. According to the invention, lightning protection and ice melting are taken into consideration, the ice melting work is completed while lightning protection is maintained, and the reliability and the safety of uninterrupted power supply ice melting of the overhead ground wire in severe weather of a power system are improved.

The invention provides a liquid resistance reduction material and application thereof in auxiliary grounding resistance reduction, and belongs to the technical field of grounding resistance reduction. The liquid resistance-reducing material provided by the invention contains the conductive fibers, the graphene and the gelatin, so that the contact resistance of a grounding body can be effectively reduced, and the grounding lightning protection effect is improved. As the grounding grid is in a liquid state, the permeability is good, the grounding grid can be better combined with complex terrains, and the grounding grid is suitable for grounding grid use scenes in more geographical environments. After the liquid resistance reducing material is solidified, the effective area of the earth screen is enlarged, charges carried by thunder and lightning are neutralized with charges of different polarities in the ground in a short time, and thunder and lightning discharge is completed. In addition, the liquid resistance-reducing material provided by the invention can also wrap a grounding system, has excellent wear resistance, effectively avoids grounding faults caused by the property defects of the grounding system, and improves the safety of a grounding grid application scheme.

The utility model relates to an intelligent thunder and lightning monitoring system, and effectively solves the problems that the conventional thunder and lightning monitoring equipment is inconvenient to use by people who do outdoor maneuvering operation, is troublesome to install and store, and is inconvenient to respond by themselves before thunder and lightning comes according to monitoring data. The intelligent thunder and lightning monitoring system can form a set of complete automatic thunder and lightning monitoring and protection system, when it is detected that thunderstorm weather will happen, the driving assembly and the lifting mechanism can jack the lightning protection unit to the high point, the lifting range of the lightning protection unit can be enlarged through the design of the lifting mechanism, and therefore the better lightning protection effect is achieved; when it is detected that the weather is good, the driving assembly is controlled again to retract the lightning protection unit into the rod body, and a good protection effect on the lightning protection unit is achieved; the system is convenient for outdoor maneuvering operation personnel to quickly install and store the device, the whole system can automatically run, excessive manual operation is not needed, and great convenience is provided for outdoor maneuvering operation.

The utility model provides thunder and lightning protection device detection equipment, which belongs to the technical field of thunder and lightning protection equipment and comprises a shell, a discharge head is slidably arranged on the shell, a containing cavity is arranged on the shell, and one side of the containing cavity is provided with an opening; one end of the rotating plate is rotationally connected to the opening of the containing cavity, a first magnet is arranged on the side, away from the rotating end, of the rotating plate, and the shell is provided with a second magnet matched with the first magnet; according to the tool placing device, the containing cavity and the rotating plate are arranged, various using tools are placed in the containing cavity by opening the rotating plate, the rotating plate is closed through adsorption of the first magnet and the second magnet, and therefore the using tools are rapidly placed.

The invention discloses a very high frequency broadband radiation source positioning method based on energy weighted subspace fitting, and relates to the technical field of signal processing and radiation source imaging, and the method comprises the steps: carrying out the DFT processing of a lightning very high frequency broadband signal collected by an array, and obtaining any narrowband component; then characteristic decomposition is carried out on covariance matrixes of X-axis and Y-axis sub-arrays according to array receiving signals, main characteristic vectors are taken as signal sub-spaces, in order to emphasize the signal sub-spaces with higher energy, characteristic values are used for weighting, weighted signal sub-spaces are constructed, then the signal sub-spaces are fitted by using a least square method, and the signal sub-spaces with higher energy are obtained; the method comprises the following steps: further constructing a sub-band energy weighted spatial spectrum adapted to a very high frequency broadband signal, then carrying out spectrum peak search on the weighted spatial spectrum to obtain a spatial angle of a spectrum peak, and finally calculating the direction of arrival of a radiation source according to a spatial angle relation to obtain an azimuth angle and an elevation angle. According to the invention, aiming at a lightning very-high-frequency weak radiation source positioning problem, a lightning channel can be inverted more clearly.

The invention discloses a 750kV power transmission line plateau type integrated lightning protection method and system, and relates to the technical field of power systems, and the method comprises the steps: collecting the data of a plateau region through the Internet of Things to construct a plateau data set, carrying out the lightning correlation feature screening of the plateau data set, obtaining lightning features, and carrying out the preprocessing of the lightning features, and obtaining pure features; the method comprises the following steps: collecting data of a plateau region through the Internet of Things to construct a plateau data set, performing lightning strike associated feature screening on the plateau data set to obtain lightning features, and preprocessing the lightning features to obtain pure features; establishing a comprehensive evaluation model, and inputting the pure features into the comprehensive evaluation model to obtain a feature comprehensive score; constructing and training a thunderstorm prediction model based on LSTM, and inputting the feature comprehensive score into the thunderstorm model to obtain a thunder and lightning activity prediction value; and dividing a risk interval for the lightning activity prediction value, and making a corresponding lightning protection measure according to the risk interval.

According to the intelligent observation method, device and equipment for the weather phenomenon and the storage medium provided by the invention, the collected multi-source data is intelligently identified and analyzed through machine learning models such as the cloud condition identification model, the rainfall identification model and the thunder and lightning identification model, and key meteorological elements such as cloud height, cloud category, rainfall intensity, rainfall type and thunder and lightning activity are automatically generated; manual intervention is reduced, and observation precision and automation level are improved. Moreover, a plurality of sensing devices, such as an image acquisition device, a weather radar, a rainfall sensor, a recording device and the like, are introduced to obtain multi-dimensional weather information and cover a plurality of weather phenomena such as cloud conditions, rainfall, thunder and lightning and the like, so that the problem of single data source of a traditional meteorological observation means is overcome, and the comprehensiveness and reliability of observation are enhanced.

The utility model relates to the technical field of monitoring lightning protection grounding, in particular to an intelligent parking lot monitoring lightning protection grounding installation structure which comprises a connecting assembly used for installing a monitoring rod, a grounding assembly arranged below the connecting assembly, flat steel arranged on one side of the connecting assembly, and the connecting assembly comprises the monitoring rod and a first fixing ring arranged on the outer wall of the monitoring rod in a sleeving mode. The grounding assembly comprises a second fixing ring and a plurality of reinforcing ribs connected with the bottom of the second fixing ring. According to the intelligent parking lot monitoring lightning protection grounding installation structure, through the arrangement of the first fixing ring with the monitoring rod, under the cooperation of the multiple supporting columns, the supporting stability is improved, and the connecting assembly and the grounding assembly are combined and fixed through the fixing bolts under the tight fit cooperation of the first fixing ring and the second fixing ring, so that rapid combination and installation are facilitated, and the practicability of the intelligent parking lot monitoring lightning protection grounding installation structure is improved. The reinforcing ribs with the buckles improve the stability of combination with the concrete ground, and under the cooperation of the flat steel with the ground fibers, the conductive efficiency with the ground is improved, and thunder and lightning can be guided to the ground in time.

The Specialized Irrigation and Fertilization Device for Plants Accompanied by Thunderstorm Simulation, is within the technical field of smart irrigation systems. Plants' nutritional requirements depend on their species, age, height, season, soil type, weather conditions, and other factors. Many people, however, use the same fertilizer for all of their plants and pots. The proposed solution is an automated irrigation system for houseplants equipped with sensors to indicate each plant's condition. It provides precise information about environmental conditions and the overall status of the device, allowing optimization of watering and fertilization for each individual plant. In the fertilization section, separate fertilizer cartridges contain agents for elements N, P, and K individually, and in another dedicated cartridge, a different specific fertilizer is stored, which is mixed for each plant in specific percentages. In addition, rainy weather with thunder and lightning conditions is simulated through the use of its operators.