47 results about "Weather warning" patented technology

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.

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 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.

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 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 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.