508 results about "Thunderstorm" patented technology

An airborne weather radar system that detects potentially hazardous weather conditions associated with storms and includes a radar display featuring visual indications of these conditions. The radar display includes a vertical situation display having iconal representations and symbolic icons indicative hazardous weather conditions and aviation hazards along the aircraft's flight path not otherwise immediately apparent or shown on standard weather radar displays. The system includes processes for detecting and predicting hazardous weather conditions such as overshooting thunderstorm tops and vaulted thunderstorm energy and serious hazards such as turbulence and hail.

A weather station for providing weather information to a user, especially weather information related to lightning and severe thunderstorm activity. In accordance with the present invention, the weather station includes one or more antennas for receiving GPS transmissions, weather radio transmissions, and a separate radio band, such as the AM radio band for use in detecting lightning strikes. The GPS signal is used to determine the position of the user. A lightning detector coupled to the antenna for receiving the AM (or other band) signal calculates the proximity of any detected lightning strikes. The national weather radio band antenna receives information from NOAA and similar organizations and presents it to the user in the normal fashion. In accordance with the present invention, the weather station may take storm data from NOAA and compare it to lightning proximity data that it has already obtained at a particular location and present to the user an indication of the relative location of the severe thunderstorm activity and its direction of movement.

The invention relates to a system for power grid thunderstorm disaster warning based on recognition and forecast. The system is characterized by comprising a thunderstorm forecast information module, an early warning data analyzing module, a power grid thunderstorm risk early warning module and a display module all connected with one another in sequence. The invention further relates to a method which adopts the system to perform power grid thunderstorm disaster early warning. The system and the method utilize region thunderstorm characteristic and regional power grid characteristic, and combine the anti-thunderstorm design parameters and the on-site geographical conditions of power grid equipment including various transformer substations, electric transmission lines, pole and the like, so as to realize real-time automatic monitoring on the thunderstorm disaster, perform actual condition analysis quantitatively at a specific time and location and near-disaster early warning and perform fine instructional functions on production and scheduling of power grid.

Methods and apparatus are provided for operating a radar system to provide a thunderstorm image to a pilot. The method comprises using one or more radar scans depending upon the aircraft altitude, a single upward tilted scan at or below a datum level of about 15,000±3000 feet wherein a clutter free storm image may be obtained and two scans above the datum level; a first upward tilting scan to determine, clutter free, a storm head perimeter and a second lower tilting scan for the storm body with ground clutter. The perimeter is used to discard return echoes from the second scan that lie outside the perimeter or an expansion thereof and retain those lying on or within the perimeter. The result is presented to the pilot. Optionally, the thunderstorm image is graded from center to edge so as to indicate weaker echo intensity near the edge.

The invention belongs to the field of radar observation based weather forecasting and discloses a dual-polarization radar observation based method for improving thunderstorm weather warning and forecasting accuracy. X waveband dual-polarization weather radar parameters are utilized. On the basis of quality control on data including phase defolding, filtering and attenuation correction and based ona fuzzy logic algorithm, environment temperature limits of sounding data are introduced for identification of multiple hydrometeors in a thunderstorm body. Comparatively detailed analysis is performed on evolution characteristics of the hydrometeors in clouds in two aspects including horizontal distribution and perpendicular distribution during a typical thunderstorm body development process according to an inversion result. Finally, a micro-physical concept model during the thunderstorm body evolution process is established and the structure and the evolution features of the thunderstorm body are acquired. The method provided by the invention facilitates recognition of hydrometeor distribution and a microphysical process in the typical thunderstorm body and provides a quantitative and direct technical support for thunderstorm weather warning and forecasting.

The invention discloses a nowcasting method and system of a thunder cloud cluster based on the boundary recognition and tracer technique. The method performs the cloud cluster boundary recognition and topology process to establish the relationship between cloud cluster life timing and clan pedigree by using the pattern recognition technique. The method comprises the steps of performing the boundary recognition on the pre-processed radar data; respectively recognizing the life timing of each cloud cluster and the information of moving direction, velocity, area and strong center and the like ofeach cloud cluster through the six judging factors of the quadtree matching analysis factor, the overlap factor, the area factor, the circum-rectangle factor, the outline comprehensive factor and thelocal similarity determination factor; and performing linear extrapolation on the moving direction, velocity, area and the strength of the cloud cluster. The preliminary result indicates that the system and the method of the invention can realize better recognition and extrapolation forecast of the thunder cloud cluster.

This invention discloses a kind of transmit electricity circuit lightning strike online monitor system, it includes the current sensor, the lighting strike signal collection cell, the Russell loop, the accumulator links with the solar battery, the pressure converter separately, the pressure converter links with the lighting strike signal collection cell, data receive and GPRS transmission cell separately, the lighting strike signal collection cell links with the current sensor, data receive and GPRS transmission cell separately, the lighting strike signal collection cell A / D sends the gained thunderstorm current data to the data receive and GPRS transmission cell through the RS232 interface after collecting, the data receive and GPRS transmission cell sends the data gained by each thunderstorm current sensor to the internet by handset network, then to the FTP server, links with the user terminal by the server use network line. The structure of this invention is simple, the operation is automatic, the measurement is stable, the data is correct.

The invention discloses a thunderstorm strong wind grade prediction classification method based on a multi-source convolutional neural network. According to the method, a multi-source convolutional neural network model is adopted to carry out feature extraction on various data images obtained by the Doppler meteorological mine, more meteorological data information can be fused, and the extractionof difference features is improved. Meanwhile, the method is combined with a classification method in a support vector machine, and a model obtained on a meteorological data training set of small andmedium samples has a very good thunderstorm strong wind level prediction classification effect.

The invention discloses a method for diverting an aircraft under dangerous weather conditions on the basis of weather radar data. Firstly, related weather data are acquired through weather radar, thunderstorm areas at different dangerous grades are drawn, and the position and the range of influence of the thunderstorm area at each dangerous grade are determined; secondarily, an aircraft diversion route planning model is established according to the dangerous grades of the thunderstorm areas; finally, a safe flight route avoiding the dangerous thunderstorm areas is planned in real time for the aircraft in combination with a dynamic diversion route planning method, and the aircraft is diverted in the dangerous weather. By means of the method, the safe flight route can be automatically planned for the aircraft under the dangerous weather condition, the workload of an air traffic control worker is effectively reduced, and safe flight of the aircraft in the dangerous weather is guaranteed.

The invention relates to the technical field of radar detection, in particular to multi-station lightning VHF (very high frequency) radiation source three-dimensional positioning method and system. The method includes: acquiring elevation of lighting arriving a single station through double antenna arrays vertically disposed at the single station, establishing an equation set by three or more single-station elevations, and calculating to obtain an occurrence three-dimensional spatial position of a flashing radiation source. The invention provides the lightning VHF radiation source three-dimensional positioning system based on the method. The system comprises at least three single stations and a data processing center. Each single station comprises a radiofrequency antenna array, a GPS (global positioning system) clock module, and a signal acquisition and processing module. Compared with the like prior arts, the method and system enable the detection range of the single station to be effectively enlarged, the antenna arrays and the data acquisition equipment to be simpler, and equipment cost and erection cost to be lower. The method and system are capable of detecting three-dimensional spatial evolution characteristics of lightning in large range, have the functions of early lightning warning, estimation on lightning danger area and fierce thunderstorm danger and the like, and provide effective information for lightning disaster prevention and severe convection weather warning.

The invention relates to a constant-speed rotary up-side-down mounted electric field apparatus suitable for monitoring thunderstorm electricity and near-ground electric environment. It includes an inverted L-shaped supporting frame, a cable with plug is inserted into its interior, its bottom end is fixed on the base, another end is communicated with projected opening of the external shell, on its inner side a socker is fixed, and is electrically connected with internal connecting wire of probe, a motor is mounted on the motor support seat, and the motor shaft is inserted into the insulating column on the fixing frame and is tightly fit with it; the exterior of the insulating column is equipped with small blade, and on the external wall of its tail end a rotor fixing cover is covered tightly, the rotor is fixed on the rotor fixing cover, Besides, it also has the components of pre-amplifier, rotaling speed and synchronous signal detection circuit board, electric brush and photoelectric switch, etc. Its detection data is high in stability and releability.

The disclosure is directed to classifying weather conditions using cameras and / or other sensors on a vehicle. The system can detect one or more weather conditions, such as a sunny sky, a cloudy sky, rain, lighting, thunderstorms, hail, snow, windy conditions, and darkness. The vehicle can account for the one or more weather conditions by dynamically and / or automatically modifying the vehicle's route, vehicle's mode(s) of operation, or a combination thereof. In some embodiments, the vehicle can automatically seek or suggest an alternate route; move the sun visor, sunroof, or window blind(s); change the temperature of a portion of the interior compartment; suggest a place to stop; automatically change the headlight intensity; activate fog lights and / or turn off high beams, change the distance from other vehicles; activate the electronic stability program, windshield wipers, and / or defroster; change the dynamics of driving; and / or change one or more thresholds.

The invention relates to a multi-scale convolutional neural network-based heavy rainfall and thunderstorm prediction method and system. The method of the invention includes the following steps that: original radar echo data are acquired; the original radar echo data are preprocessed, so that radar echo time series images can be obtained; any three frames of radar echo time series images which aregenerated consecutively are selected, a radar echo convolutional neural network is constructed, and the next frame of radar echo image can be inferred; and radar echo change within one minute is inferred by means of an optical flow field method and a linear interpolation method. With the method adopted, thunderstorm weather in one hour can be predicted, and the space range of thunderstorm weatherprediction can be narrowed to be a range within 1 km.

The invention relates to a method and a system for comprehensively and synchronously observing lightning stroke discharge. The method is based on a global positioning system (GPS) timing technology, and the lightning stroke discharge is observed by the observation system. The method comprises the following steps of: providing the activity trend of lightning storm by using a wide area lightning location system, and reminding the arrival of the lightning storm by using an atmospheric average electric field instrument; and outputting an alternating current (AC) B code signal to a high-speed image pickup device by using a GPS timing device, marking the formation time of each frame of picture by using a clock system, receiving a time to live (TTL) level signal from a lightning high-speed trigger device, outputting correct time t corresponding to a TTL level rising edge to a personal computer (PC), and recording the TTL level signal and electrical and acoustic measurement signals by using a high-speed data storage recorder. The system comprises the wide area lightning location system, a data analysis and processing server, the atmospheric average electric field instrument, the high-speed image pickup device, the lightning high-speed trigger device, a quick electric field change instrument, a slow electric field change instrument, a magnetic field measuring instrument, an array thunder detection device, the high-speed data storage recorder and the GPS timing device.

Systems and methods for determining a power disruption index indicative that provides subscribers with a forecast of weather conditions that are likely to cause interruptions to power distributions systems within their specific areas of service. The Power Disruption Index (PDI), is a calculation of a number of forecast weather parameters including severe thunderstorm probabilities and intensities, wind speeds, wind gusts, and snowfall and ice accretion. The index combines each of these input parameters with a specific weighting based on the forecast intensity of each of the parameters, along with alert threshold criteria provided by each client utility. The output PDI is a forecast of local weather conditions for a specific local service area or power distribution network.

The invention relates to a method for predicting lightning motion by space density clustering. The method comprises the following steps of: processing automatic lightning monitoring data through a computer, establishing a clustering analysis database, combining a geographic information system (GIS) to establish an analysis platform, performing clustering analysis on lightning data at different moments by establishing a density clustering algorithm model, setting lightning data sample screening conditions in the database, describing basic parameters of lightning density to acquire lightning sample data according to a time sequence and classifying according to a time period; establishing a lightning data space position relationship table through lightning data points and distance values; determining position characteristic points of different lightning storms; and calculating motion direction and speed along with displacement change during time lapse according to the position characteristic points of the lightning storms, and predicting positions of lightning storms to be generated in the next time period. The invention has the advantages that: the method has novel conception, a method for processing the lightning data is advanced and reasonable, and the authenticity of the lightning motion can be reflected.

The invention discloses a thunderstorm cloud cluster identification method and system for a meteorological satellite cloud picture. The method and system performs disc picture data analysis, projection transformation, median filtering, multiple image segmentation, and thunderstorm cloud cluster automatic identification on satellite original data, performs spectrum characteristic analysis and texture characteristic analysis on the basis of cloud cluster clustering to finally obtain the coverage, the intensity, and the motion locus of the thunderstorm cloud cluster. The invention further provides a thunderstorm cloud cluster identification system for a meteorological satellite cloud picture so as to systematically, efficiently, and automatically execute the above method, rapidly process and respond to meteorological satellite cloud picture data at each time level and continuous time sections, identify the thunderstorm cloud clusters, track the development and change of the thunderstorm cloud cluster, and provide valid technical support for prediction and early warning of meteorological disasters.

The invention provides a lightning monitoring early-warning and alert service system comprising a lightning disaster risk zoning and thunderstorm disaster risk assessment system, a lightning alert service cloud platform, an urban-observation-based lightning monitoring and analysis internet cloud platform and a thunderstorm database. Therefore, an operational effect of lightning monitoring, forecasting, and protection technical services can be promoted; monitoring and warning ability of lightning disaster, the anti-thunder administrative capacity, and anti-thunder technical service levels can be enhanced; and the lightning protection and disaster reduction requirement by public security can be met. Meanwhile, one the basis of analyses of a plurality of cases during the thunderstorm process, rapid feature value extraction processing of the thunderstorm process and thunderstorm classification and determination can be realized; a reference basis is provided for lightning disaster zoning and analysis based on the thunderstorm characteristics; and the thunderstorm-characteristic-based lightning protection key points and protection strategic method are established, so that the system can provide basic analysis data for lightning early-warning and follow-up service and thus servers as a core support system for a lightning service.

The present application relates to a dual polarization radar based disaster weather identification and early-warning system and method. The dual polarization radar based disaster weather identification and early-warning system comprises: a hail automatic identification module, a middle cyclone automatic identification module, a squall line identification module and a disaster weather comprehensivedisplay early warning module. This application applies dual polarization radar data to establish different disaster weather identification models, studies the meteorological discrimination conditionsof severe convective weather of different disaster types, develops a strong convective weather automatic identification service system for different disaster types, realizes the monitoring and tracking of strong convective weather of different disaster types, and can form various meteorological service products timely according to the disaster weather identification results so as to meet the needs of the society for refined and intelligent meteorological services. The application can realize automatic identification of disaster weather such as thunderstorms, short-term strong winds, hail, tornadoes, has high accuracy, fast recognition efficiency and fast warning speed; and the early warning time for hail and other disaster weather is advanced by from 0 to 10 minutes.

The invention discloses an inversion method of thunderstorm charge distribution by means of dual-polarization Doppler weather radar echo. The inversion method of thunderstorm charge distribution by means of dual-polarization Doppler weather radar echo includes the steps: establishing the mapping relation between a dual-polarization Doppler weather radar echo parameter and a hydrometeor particle charge sensitive factor; and according to the mapping relation, converting the radar echo parameter information, such as the reflectivity factor, the Doppler velocity, the spectral width, the hydrometeor particle type and the height, into the related parameters, such as the hydrometeor particle type required by a hydrometeor particle charge parameterization scheme, bringing the result after conversion to the hydrometeor particle charge parameterization scheme, calculating the charge amount of each echo data point, point by point, and realizing inversion of thunderstorm charge distribution. The inversion method of thunderstorm charge distribution by means of dual-polarization Doppler weather radar echo integrates the electrification theory of thunderstorm, the charge structure model and the dual-polarization Doppler weather radar detection technology into one body to realize detection of thunderstorm charge distribution by means of the dual-polarization Doppler weather radar, thus being able to improve the monitoring capability of the dual-polarization Doppler weather radar for thunderstorm.

The invention provides a method for predicting a thunder cloud moving path based on a lightning location system. The method comprises the steps of establishing a clustering analysis database, obtaining lightning data in the same time period, calculating the distance between each lightning point and a neighboring lightning point according to each lightning point and building a lightning data spatial position relation table according to the lightning points and the distances, calculating the density relation of any two lightning points, clustering the lightning data according to the density relation of any two lightning points to generate a thunder cloud and obtaining the position characteristic points of the thunder cloud, linearly fitting the position characteristic points of the thunder cloud according to the displacement change of position characteristic points of the thunder cloud as time goes by, and predicting the position of the thunder cloud in next time period. The method for predicting the thunder cloud moving path based on the lightning location system is capable of predicting the position of the thunder cloud more accurately. The invention also provides a system for predicting the thunder cloud moving path based on the lightning location system.

A system for dissipating a lightning current produced by a thunderstorm discharge on an avionic equipment installed on the external skin of an aircraft, the external skin being made of a composite material covered with a layer of expanded metal and including an orifice in which there is positioned an aerodynamic plate covering the avionic equipment. The aerodynamic plate is attached to the external skin by a doubler. The system includes at least one metal plate at least partially surrounding the aerodynamic plate and mounted so as to ensure electrical continuity between the doubler and the layer of expanded metal so as to dissipate the lightning current into the layer of expanded metal.

The invention discloses a method for electric transmission line windage yaw transient analysis under action of moving thunderstorm wind. The method comprises the steps that the vertical wind speed is considered in simulation of a moving thunderstorm wind field and the spatial correlation and the pulsation effect are synchronously considered; when the wind load is determined, a transient wind attack angle and a corresponding divided conductor aerodynamic coefficient are introduced, and the wind speed and change of the direction are considered in a time domain; in the analysis process of a wind deflection angle, displacement, caused by the asymmetric load, in the direction of a line is considered, the largest wind deflection angle of part of the electric transmission line is calculated under the condition of the extreme wind load, design work of windproof measures of the electric transmission line is directed, and the power supply reliability of the electric transmission line is improved.

The invention provides a multi-information integration-based thunder and lightning monitoring and forecasting method for electric transmission and transformation equipment, which is characterized by comprising the steps of 1, establishing a thunderstorm potential forecasting model and establishing a Hubei province thunderstorm potential forecasting equation; 2, establishing a thunderstorm nowcasting model, and selecting a radar composite reflectivity factor (CR), an echo top height (ET) and a vertical integrated liquid water (VIL) as nowcasting factors to lock the thunderstorm based on the stepwise decreasing FAR method; at the same time, in combination with the monitoring information of a lightning position finder, forecasting the possible area wherein the thunderstorm appears within 30 minutes in the future; 3, establishing a thunder and lightning monitoring and forecasting system for a power transmission line. According to the technical scheme of the invention, the precipitation area and the probability of the thunderstorm in different areas can be accurately forecasted. The method is high in accuracy, strong in practicability and good in reliability.

The invention provides a real-time lightning stroke prewarning method for outdoor electric equipment, comprising the following steps of: acquiring recorded historical meteorological parameters of several continuous lighting storms; acquiring real-time forecast meteorological parameters of the lighting storms; comparing the historical meteorological parameters with the real-time forecast meteorological parameters to obtain a similarity coefficient of corresponding meteorological parameters; calculating a similarity value according to the similarity coefficient; and giving a lighting stroke alarm when the similarity value is larger than or equal to a preset threshold value. The invention also provides a real-time lightning stroke prewarning device capable of forecasting whether electric equipment is stroked by lighting or not in real time and giving an alarm.

The application relates to a lightning forecasting method and system. The method comprises the steps of reading the latest electric field station observation data and radar observation data of an electric field station, and establishing a lightning proximity prediction model according to the electric field station observation data and the radar observation data; the establishing of the lightning proximity prediction model comprises the following steps: step a: setting an electric field amplitude threshold and an electric field difference threshold; step b: judging whether the read electric field station observation data reaches the set electric field amplitude threshold or the electric field difference threshold, and if the electric field station observation data reaches the set electric field amplitude threshold or the electric field difference threshold, performing step c; step c: determining whether the radar observation data before the current time reaches the preset threshold, ifthe radar observation data reaches the preset threshold, performing step d; and step d: generating a lightning warning graphic product and issuing lightning warning. The application realizes the beforehand release of thunderstorm early warning, and raises the capability and level of lightning forecast.

The invention provides a thunderstorm short-term and imminent forecasting method, system and terminal, and the method comprises the following steps: carrying out the preprocessing of lightning historical data, and obtaining lightning grid observation data; performing feature construction on the radar historical data to obtain three-dimensional radar feature data; performing feature construction on the satellite historical data to obtain three-dimensional satellite feature data; performing feature construction on the Grapes historical data to obtain three-dimensional Grapes feature data; constructing a thunderstorm short and imminent forecast data set based on the lightning grid observation data, the three-dimensional radar feature data, the three-dimensional satellite feature data and the three-dimensional Grapes feature data; constructing a thunderstorm short-term and imminent forecasting model; and training the thunderstorm short-term and impending forecasting model based on the thunderstorm short-term and impending forecasting data set so as to realize thunderstorm short-term and impending forecasting based on the trained thunderstorm short-term and impending forecasting model. According to the thunderstorm short-term and imminent forecasting method and system and the terminal, accurate short-term and imminent forecasting of the thunderstorm is achieved by fusing multi-source data, the timeliness is good, and the practicability is high.

The related rocket-draw-line form manual thunder-initiation system comprises: a rocket launch control device, a rocket draw-line device, and a monitor and measurement system with a video camera, a camera, a digital high-speed video camera, and all of an electric field meter, an electric field variometer and a lightning magnetic field detector connected to a computer. Wherein, connecting the gas pipe from air compressor in launch-control chamber to the pneumatically- operated switch lighter under rocket, connecting the wire drawn on rocket tail axis to the draught rod grounded by a coaxial shunt arranged with an E / O converter in a Faraday iron cage with insulator. With this invention, it obtains lots of simultaneous observed data and plays an important role in our research on thunder and lightning physics and manual thunder initiation.