47 results about "Weather warning" patented technology

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 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.

A method is provided for providing weather data to a vehicle comprising the steps of: (a) receiving a broadcast signal containing weather data referenced to a plurality of cells arranged in a grid corresponding to a geographic map; (b) determining the present location, speed, and direction of the vehicle; (c) calculating a geographic region for which the weather data will affect the vehicle user based upon the current location, speed, and direction of the vehicle; (d) filtering the weather data to yield filtered data comprising at least one of the plurality of cells correlated to the previously calculated geographic region; and (e) formatting the filtered data for display to vehicle occupants.

The invention provides an automatic navigation system based on marine weather forecast. The automatic navigation system comprises a weather warning avoidance module, the marine weather forecast of a weather bureau is synchronized, and a bad weather level annotation image of a main channel ship route is generated; according to the performance and structure of a ship and draft of the ship, bad weather level resistance of the ship is determined; and according to an estimated ship route and duration of voyage, whether the ship route needs avoidance is determined, if the avoidance is needed, a timeperiod that bad weather influences the ship route is determined, and according to voyage cost and supply condition, whether the ship route needs to be changed or speed increase or decrease is performed is determined, so that the time period that the bad weather influences the ship route is avoided. The automatic navigation system based on the marine weather forecast realizes the effect of automatically planning a navigation route, avoids navigational hazard caused by weather and automatically performs storm warning, facts that navigational status can be influenced and danger can happen are determined when weather such as storm comes and after GPS positioning is performed, the channel is changed, and the ship reaches a port nearby, waits and retrieves information of nearby ports.

A severe weather alarm configured for actuation by the occurrence of a single type of weather phenomena is disclosed. In one embodiment an alarm includes a portable housing; an audio siren configured to actuate upon an occurrence of a predetermined event; a receiver to receive signals and Specific Area Message Encoding (SAME) messages at one or more National Weather Service (NWS) weather radio frequencies; a digital decoder coupled to the receiver and configured to filter out all SAME messages except for a single weather warning message event code and a Required Weekly Test (RWT) code; a processor coupled to the receiver and the digital decoder to control the receiver and decoder and to actuate the audio siren upon the occurrence of the predetermined event; a power source; and a memory for storing signal values, frequencies, message values, and geographical codes.

An apparatus for communicating weather related information to a vehicle has been developed. The invention includes, a navigational positioning system that provides the location of the vehicle and a receiver for receiving weather related data at the vehicle that includes road conditions, atmospheric conditions, weather warnings and watches, and forecast conditions. The weather related data is associated with a geographic grid that is made of a plurality of cells. The invention's processor determines if the weather related data is associated with the vehicle location and displays the weather related data to the vehicle's occupants.

A marine weather early warning system based on the Beidou satellite system disclosed in the present invention includes: a ship weather data collection platform installed on each ship, and the ship weather data collection platform includes a weather information collector, a first short message transmitter device and the first short message receiver, the meteorological information collector is connected with the first short message transmitter; and the ship early warning platform, the ship early warning platform includes a meteorological data early warning analysis server, the second short message transmitter And a second short message receiver, the meteorological data early warning analysis server is respectively connected with the second short message transmitter and the second short message receiver. The beneficial effect of the present invention is that: the system of the present invention is based on the Beidou satellite system, can meet the realization of various communication modes such as point-to-point, point-to-multipoint, and is not limited by geographical conditions, and can facilitate flexible networking for users.

A device for detecting a weather condition, particularly a tornado. The device includes a receiver module configured to receive electromagnetic signal from an atmosphere, particularly electromagnetic signal in the range of 1 MHz to 100 MHz. The device also includes a processing module coupled to the receiver module and configured to generate frequency spectrum data corresponding to the received electromagnetic signal, such as by performing a Fast Fourier Transform operation. Frequency spectrum data corresponding to the weather condition desired to be detected is stored in a stored data module. The device also includes a comparison module for comparing, such as by performing a cross-correlation operation, the generated frequency spectrum data and the stored frequency spectrum data in order to determine whether the weather condition is present in the atmosphere. An alarm module coupled to the comparison module generates an alarm condition when the comparison module determines that the weather condition is present in the atmosphere.

The invention discloses a method for preventing and controlling mountain fire external force damage to a transmission line. The implementation steps of the method comprises the steps that: mountain fire hazards of the transmission line are determined, each mountain fire hazard in a field is investigated through investigation personnel, and the information of each mountain fire hazard is recorded in a management system; the management system pushes messages to management personnel and maintenance personnel of the transmission line according to a current time, weather warning information and mountain fire alarm information; the management personnel of the transmission line issues a management and control task to maintenance personnel according to the pushed messages, the maintenance personnel receives the management and control task and then goes to the target position of the management and control task to eliminate hidden dangers or handle mountain fires, sends GPS positioning information to the management system through a smart device to realize trajectory report, and collects field multimedia information through the smart device to realize task report. According to the method, the prevention and control of mountain fire external force damage to the transmission line can be realized and the method is scientific, systematic, comprehensive, effective and normative.

The invention discloses a cloud-side-terminal collaborative meteorological intelligent warning system. The system includes a cloud for large-area weather warning, an edge terminal for small-area weather warning, and a terminal for collecting and displaying results; the cloud slave terminal The collected meteorological data is analyzed for large-scale meteorological early warning and intelligent meteorological early warning model training, and sent to the edge terminal; the edge terminal obtains the corresponding required data from each terminal according to the intelligent meteorological early warning model obtained from the cloud, and inputs the intelligent meteorological early warning model and perform model calculations to obtain meteorological early warning analysis in small areas; and to analyze comprehensive weather early warning information for large and small areas in combination with the characteristics of the edge end; and to upload small area and comprehensive weather early warning information to The cloud storage is used for large-area weather early warning, and the comprehensive weather early warning information is sent to the terminal for collection and result display for early warning display. The weather early warning system of the invention has high precision and fast speed.

The invention is suitable for the field of communication, and provides a method and a device of weather warning of a mobile terminal. The method comprises the following steps: obtaining weather information sent from a network side in real time, and triggering warning when the weather information is preset suddenly-change weather information. The method and the device of weather warning of the mobile terminal monitor local weather information at that time in real time, and remind a user when weather changes suddenly, enable the user to have enough time to take measures, and achieve drawing on advantages and avoiding disadvantages to reduce loss.

An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, defining an index including the map tile in response to identification that the map tile is within the predetermined distance to the at least one location, calculating a confidence level for the map tile accessed from the index, comparing the confidence level for the map tile to a threshold confidence level, clustering the map tile in a map tile cluster in response to the confidence level exceeding the threshold level, and calculating a polygon based on the map tile cluster such that the polygon intersects the geographic region.

The invention relates to the field of automotive electronics, and discloses a disaster weather early warning method and an automotive AR‑HUD system. Wherein, the disaster weather early warning method is applied to the automobile AR-HUD system, including: acquiring the video image in front of the automobile; processing the video image, extracting the image weather feature of the processed video image; The weather characteristics are input to the weather type prediction model to identify the weather type of the environment where the car is currently located, and the weather type prediction model is obtained based on deep belief network training; when the weather type is a disaster weather type, through the The automotive AR‑HUD system outputs early warning information. The embodiment of the present invention improves the safety of automobile driving and reduces the risk of traffic accidents caused by disastrous weather.

The climate crisis alarm platform based on image analysis of the present invention includes a ground surface, the ground surface is provided with a first cavity with an upward opening, a fuselage is arranged in the first cavity, and a fuselage top is provided with an opening facing upward. The second cavity on the right is provided with a swing drive device, and the bottom end of the second cavity is communicated with a third cavity; the kinetic energy utilization of the climate crisis alarm platform based on image analysis in the present invention High efficiency, rich equipment functions, and the use of mechanical structure for kinetic energy conversion, sensitive equipment, long service life, long running time, high monitoring efficiency, high degree of equipment automation, and simple maintenance.

The present application relates to a lightning forecasting method and system. The method includes: reading the latest electric field station data and radar observation data of the electric field site, and establishing a lightning nowcasting model according to the electric field station data and radar observation data; the establishment of the lightning nowcasting model includes the following steps: step a : Set the electric field amplitude threshold and electric field difference threshold; step b: judge whether the read electric field station data reaches the set electric field amplitude threshold or electric field difference threshold, if the electric field station data reaches the set electric field amplitude threshold or the electric field difference threshold, execute step c; step c: judge whether the radar observation data before the current moment reaches the preset threshold, if the radar observation data reaches the preset threshold, execute step d; step d: generate lightning warning graphic products and send out Thunder warning. The application realizes the early release of thunderstorm weather warning, and improves the ability and level of thunderstorm forecast and warning.

The invention discloses a short-term early warning system for strong convective weather, comprising: a business management module, realizing shift registration, system logs, forecast scoring, and business processes; a data preprocessing module, real-time data collection, data quality control, and data preprocessing And strong convective weather diagnosis; short-imminent forecast and early warning module, realize weather background and case library, strong convective monitoring and analysis, strong convective potential forecast, strong convective short-impending forecast, forecast and early warning product production; product distribution module, realize product packaging, Early warning information broadcast, SMS / audio service, fax / email. The invention constructs basic information, statistics the strong convective occurrence factors in the Tibet area in recent years; studies the large-scale conditions of the strong convective weather in the Tibet area, and delineates different circulation patterns in different areas; uses the synthetic analysis method to synthesize the characteristics of the environmental field and establish early warning The model has higher forecast accuracy and longer forecast timeliness for strong convective weather in Tibet.

The invention relates to an FWI early warning system and the specific application of the FWI early warning system in the forest fire early warning. The humidity, the illumination time, the wind speed and other parameters of natural conditions at specified areas are measured in real time, the hazard level of the forest fire is forecast, and the effect of quantizing various FWIs is achieved.

The invention provides a meteorological early warning method for a grid engineering project. The method comprises the steps that a vectorized grid is constructed for a GIS map; meteorological data ofeach meteorological monitoring point in current and n hours and each grid facility are associated with the vectorized grid; an interpolation algorithm is used to calculate the meteorological data to form a meteorological data vectorized grid; a trainer is used to calculate the meteorological data; and according to the meteorological data calculated by the interpolation algorithm and the meteorological data acquired by the trainer, the current meteorological data and predicted meteorological data in n hours at each grid facility site are calculated, and early warning is carried out. According to the invention, the interpolation algorithm and the trainer are integrated to acquire the meteorological data of the grid facility location to acquire the final meteorological data; the algorithm isadjusted according to the data collected by a sensor at the grid facility site; and the accuracy of the meteorological prediction of the grid facility is improved.