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.

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.

A method and apparatus for forecasting the likely occurrence of convective weather events, such as thunderstorms. An image filter is used to identify areas of interest within a meteorological image that are likely to contain convective weather. The image filter and an image difference processor identify areas within the meteorological image that are likely to experience a growth and/or decay of weather events. The meteorological image, interest image and growth/decay image are processed to produce the short-term forecast.

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.

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 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 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 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 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.