64 results about "Weather map" patented technology

Systems and methods for providing a desktop wallpaper map on a user's PC desktop to provide an indication of weather conditions. The map displays weather information such as local, regional or national radar, satellite map, five day forecast, current conditions, etc. In a passive mode, the map is displayed in the background on a user's desktop. In an interactive mode, the map is preferably moved up to the foreground and additional weather data is provided, which may be customized by the user. The user may pan, zoom and change locations via controls that are provided on the desktop. A control icon is provided to toggle the map to and from passive and interactive modes.

A method is provided, for displaying dynamically updated weather information for a vehicle using a computer system comprising a processor and a memory. A table is stored in the memory, the table defining, for a predetermined plurality of different weather conditions, a corresponding predetermined plurality of sets of visually distinguishable icon settings, wherein each weather condition corresponds to a corresponding respective set of icon settings, the respective set of icon settings defining the appearance of a first weather icon configured to appear on a display in operable communication with the processor, wherein the appearance of the weather icon, by itself, is sufficient to convey at least one weather condition. The appearance of the first icon is dynamically updated, during at least a portion of the travel by the vehicle along its travel path, to correspond to changes in the first set of weather data.

The invention relates to a prediction method for ozone concentration. The method comprises: historical meteorological data of a to-be-predicted area are obtained; a plurality of meteorological factors are selected and are used as influence factors; and with a multi-parameter fitting way, a prediction equation of ozone concentration is established by using the multiple meteorological factors as factors, prediction values of the meteorological factors and / or practical measuring values are substituted into the prediction equation, and then the equation is solved to predict a O3-8h value on the day needing prediction. According to the invention, the method is simple and is easy to operation; and the method can be implemented at different area instead of being restricted to Beijing and can be widely applied to the whole country. In the established partition forecasting system, functions of weather map downloading and assistant analysis are provided. Meanwhile, on the basis of a numerical value prediction simulation result, the expert carries out determination and correction further to form integrated prediction, thereby providing decision-making information for the administrative department.

The invention discloses an outdoor non-fixed scene weather identification method based on deep learning. The method comprises the following steps: constructing a basic structure of a light-weight convolutional neural network; collecting pictures of various weather and making the pictures into a data set in a specific format; training the lightweight convolutional neural network by using the data set; and transplanting the trained lightweight convolutional neural network into an embedded platform or a mobile device, taking a shot weather picture as an input of the lightweight convolutional neural network, and outputting probabilities corresponding to various weather conditions. On one hand, the defect that a traditional method can only recognize weather of a fixed scene is overcome, and onthe other hand, due to the fact that the calculated amount is very small, the method can be applied to an embedded platform or mobile equipment and is very high in practicability.

The invention discloses a wind field data based automatic trough line drawing method in computer weather software to realize automatic recognition of weather trough lines in a weather map. The method comprises steps as follows: generation of long-wave troughs: extracting reverse circulation centers of wind field grid data, searching candidate long-wave trough points in the data, tracking and connecting the trough points with the reverse circulation centers serving as starting points, and extracting the long-wave troughs; generation of short-wave troughs: performing vorticity and angle deflection screening on the wind field grid data, extracting candidate short-wave trough points, after screening in combination with the candidate long-wave trough points, performing minimum spanning tree clustering on rest candidate short-wave trough points, performing curve fitting on candidate trough point sets in each generating class, and extracting the short-wave troughs.

The invention discloses a transient disturbance weather map and low-frequency disturbance weather map manufacturing method based on atmospheric variable physical decomposition and application of the method in weather forecast. The method includes that formerly observed, recently observed and medium-term numerical weather predication modes are used for output atmospheric space three-dimensional multi-variable and time continuous grid point data, climate components and synoptic scale disturbance components of daily cycle and annual cycle are obtained through physical decomposition, and the synoptic scale disturbance components are used for manufacturing a transient disturbance weather map and a low-frequency disturbance weather map. According to the method, after climate seasonal variation field and day-by-day synoptic scale transient disturbance field physical decomposition is performed on meteorological data of the Northern Hemisphere in the past 30 years, synoptic scale transient disturbance components predicated through the recently observed and medium-term numerical weather predication modes are used for drawing a transient disturbance weather map and a low-frequency disturbance weather map. The transient disturbance weather map is suitable for manufacturing 1 to 3 days short-term weather forecast and 4 to 9 days medium-term weather forecast, the low-frequency disturbance weather map is suitable for manufacturing medium-term and 10 to 30 days elongating stage weather process forecast. A novel tool for weather forecast is provided, and accuracy of the weather forecast can be improved.

A weather forecasting system has weather forecasting logic that receives weather data from a satellite or other source, such as radar. The weather forecasting logic processes such data to identify cumulus clouds. For each cumulus cloud identified, the weather forecasting logic applies interest field tests and feeds the results into formulas derived based on measurements from current and past weather events. The model determines a score indicating the likelihood of the cumulus cloud forming precipitation and a score indicating the likelihood of the cumulus cloud forming lightning in the future within a certain time period. Based on such scores, the weather forecasting logic predicts in which geographic regions the identified cumulus cloud will produce precipitation and / or lightning during the time period. The predictions of the weather forecasting logic may then be used to provide a weather map thereby providing users with a graphical illustration of the areas.

The invention discloses a trough line automatic drawing method based on geopotential height data in computer weather software. The method can realize automatic extraction and drawing of weather trough lines in a weather map, and comprises the following steps: calculation of a curvature value: calculating geostrophic velocities of each grid point in the latitude and longitude directions, obtaining a wind angle of geostrophic wind at the grid point based on the calculation, and deriving the wind angle of the geostrophic wind in the wind velocity direction, thus obtaining the curvature value; tracking of trough points: extracting a local curvature minimum value which is used as a trough line tracking start point, and tracking and connecting the trough points from the trough line tracking start point according to constraint conditions such as the quantity of adjacent points with relatively small curvature values of all the grid points, thus obtaining an original trough line; processing of the original trough line: eliminating noise from the extracted original trough line, and performing smoothing processing, thus generating a trough line meeting a meteorological service demand.

A social networking aggregator computer program that filters user updates from several sources and merges them with geo-tagging data to provide real-time “weather maps” of symptoms and ailments, which can then be used to forecast where and when illnesses spread. Data sources include, but are not limited to popular social media “user broadcasting” platforms, social network sites and smartphone applications.

The present invention discloses a power network geographic information system (GIS) based mobile terminal collaborative plotting method comprising the following steps: acquiring emergency information, and determining the location of an emergency on a power network GIS map; classifying according to needs, determining event types and ranks, and performing analysis, research and determination on influence scope of the emergency and power network equipment and facilities to select an optimal path; establishing an equipment map layer and a weather map layer respectively in the power network GIS map according to positioning information of electrical equipment and a weather monitoring station, superimposing the weather map layer and the equipment map layer, intuitively drawing a situation map on the GIS map, and synchronizing plotting information to a center data terminal; gathering and summarizing the plotting information by the center data terminal and then synchronously issuing the information to a collaborative plotting mobile terminal; and setting a playing time scale, playing a prearranged plan data and checking the situation at any time to perform dynamic map deduction. By adopting the power network GIS based mobile terminal collaborative plotting method, rich plotting languages including graphical plotting languages, symbolic plotting languages and the like are used for completely, comprehensively, accurately and timely showing emergency resource situations.

The invention discloses a weather rendering method and device in a virtual environment, equipment and a storage medium, and belongs to the technical field of image processing. The method comprises thesteps of obtaining weather configuration information, wherein the weather configuration information is used for switching weather scenes of a virtual environment; obtaining a weather map corresponding to the weather scene according to the weather configuration information, wherein the weather map does not include maps of virtual elements in the virtual environment on non-key dimensions, and the weather map is an image used for representing the weather scene, and the map on the non-key dimension is an image which does not influence the rendering of the virtual environment when missing; and rendering the weather scene in the virtual environment according to the weather map. The number of times of map sampling is reduced by reducing the number of weather maps, and the performance of a terminal in running applications supporting the virtual environment is improved.

A multi-spectral imager useful for weather mapping, comprising an array of filters on at least one focal plane array (FPA) including pixels. Each of the filters are associated with a different set of the pixels, and each of the filters transmit a portion of electromagnetic radiation, comprising a different band of wavelengths, to the set of the pixels associated with the filter. A circuit connected to the pixels reads out a signal outputted from each of a plurality of different pixels in the set and outputs the signals to an adder. The adder sums the signals from each of the plurality of different pixels in the set to form a sum used for generating a weather map.

The invention discloses a weather map system with a customizable pattern. A server provides real-time reading and analysis of weather data and generates spatial vector data; a large picture is generated according to a map pattern xml description file provided by a client; the large picture is cut into standard tiles; the tiles are uniformly organized according to TMS (tile map system) rules; the organized tiles and tile files are compressed; all logs are recorded in detail; the client provides map pattern setting that is described as an xml file sent to the server; tile data are acquired fromthe server to provide map browsing and interaction; the client is communicated with the server through currently-popular efficient ZeroMq message queue; the tile data are transceived for MD5 check, sothat data transceiving is intact and correct.

The embodiment of the invention provides wearable electronic equipment and a display method. The wearable electronic equipment comprises a fixing unit, a detecting unit, a posture confirming unit, a first acquiring unit, an image generating unit and a display unit, wherein the wearable electronic equipment can maintain a position relation relative to a first part of a user through the fixing unit; the detecting unit is used for detecting the posture of the first part of the user and acquiring the detected result; the posture confirming unit is used for confirming whether the detected result meets the predetermined acquiring conditions or not; the first acquiring unit is used for acquiring meteorological information when the detected result confirmed by the posture confirming unit meets the predetermined acquiring conditions; the image generating unit is used for generating a weather image corresponding to the meteorological information; the display unit is used for displaying the meteorological information and / or the weather image.

Systems and methods are operable to capture images of weather along a portion of a flight path of an aircraft, and are operable to wirelessly communicate information corresponding to the captured images to the aircraft. An exemplary embodiment has at least one camera pointed in a direction corresponding to a portion of the flight path of the aircraft and configured to capture images of weather in proximity to the portion of the flight path, and has a transceiver configured to wirelessly communicate images captured by the at least one camera.

The invention relates to a severe weather image classification enhancement method based on a convolution model and feature fusion. The method comprises the following steps: S1, establishing a weatherimage set; s2, constructing an image classification fusion model; s3, training an image classification fusion model through the weather image set; s4, inputting weather images to be classified; s5, the image classification fusion model classifies the weather images to be classified to obtain image types of the weather images to be classified, if the image types are clear, the step S7 is executed,and otherwise, the step S6 is executed; s6, selecting an image enhancement algorithm corresponding to the image type to enhance the weather image to be classified, obtaining an enhanced image, and inputting the obtained enhanced image into the step S5 as the weather image to be classified; and S7, outputting a weather image. Compared with the prior art, the improved VGG16 model is adopted, traditional features and depth features are fused, the recognition accuracy is high, the corresponding algorithm is adopted to enhance the image, and the enhancement effect is good.

The invention discloses a meteorological service interaction method and system generated by combining a pre-training model and a template, and the method comprises the steps: generating a training data set through the template in combination with data crawled by a network, and then recognizing a meteorological service entity in a user question through the pre-training model; based on the text similarity of word vectors, linking the identified entities to a weather map, determining a service scene in a user question, further querying a suggestion group related to the scene in a scene-oriented weather service database, and according to the semantic similarity between the weather suggestions and the user question, selecting proper weather suggestions and filling the weather suggestions back to a template, and generating a meteorological service statement and returning to the user. The meteorological service interaction system provided by the invention can provide personalized scene services for users and generate flexible and diversified service statements.

The invention relates to a method for forecasting heavy rainfall by a boundary aggregation method. By the method, the problem of forecasting the heavy rainfall can be solved effectively. According to the technical scheme, the method comprises the following steps of: 1, selecting a boundary layer; 2, analyzing bounded points on a boundary layer; 3, judging an aggregation area; and 4, dividing a heavy rainfall falling area. The invention provides a simple and objective method for performing mesoscale analysis by utilizing a weather map. By the method, a forecaster can forecast the heavy rainfall falling area without the reference of any numerical forecasting products and the calculation of physical quantity to improve the accuracy of the forecasting of torrential rain in the area; and the mesoscale analysis is performed on a specific isobaric surface according to the principles of frontogenesis kinematics and dynamics, and the bounded points are determined, so that the rainfall forecasting is performed by utilizing the aggregation area which are enclosed by the bounded points. Therefore, the method is a specific method for forecasting the heavy rainfall falling area by the boundary aggregation method.

The invention discloses a method for extracting characteristic points and characteristic lines of a trough ridge by using contour data, and a weather chart analysis method. The present invention provides a method for extracting groove ridge feature points from contour field data. For the non-closed contour, three points are chosen according to the included angles of every three points on the contour, and the selected points are formed into a sequence S, and the characteristic points of the groove ridge are determined according to the arc characteristics of S. The invention provides a method for extracting groove ridge characteristic lines by using contour line data. On the basis of extracting groove ridge characteristic points, the groove / ridge point properties are identified in three schemes, the groove / ridge points are clustered according to distance conditions, and finally, all groove / ridge points of a congruence cluster are simulated by using a Bessel curve to obtain groove / ridge lines. The invention provides an application of two methods in the analysis of weather maps and topographic maps, and a weather map analysis method. The method of the invention can simultaneously identify the groove point and the ridge point, generate the groove line and the ridge line, has high algorithm efficiency and accurate result, and the obtained groove ridge line has no crossing and beautiful appearance.

The invention discloses a weather image recognition method and device related to a power system, and a medium, and the method comprises the steps: obtaining a to-be-recognized weather image which comprises the ground information and sky information of an environment where the power system is located; amplifying the weather image to be recognized to obtain a processed weather image; and identifyingthe processed weather image based on a pre-trained weather image identification model to obtain a weather category, the pre-trained weather image identification model being obtained by improving a SqueezeNet neural network model, and the pre-trained weather image identification model comprising a batch standardization layer BatchNormalization. The SqueezeNet neural network is improved in a targeted manner according to the weather image of the environment where the power system is located, and is higher in recognition speed and higher in accuracy.

The invention aims to provide an image-based weather identification method and device. The method comprises the following steps: acquiring images acquired by a plurality of observation stations; labeling the images and labeling according to weather categories to obtain training data; inputting the training data into an improved Resnet50 network, and constructing a weather classification model; andidentifying the weather category to which the weather image to be identified belongs by using the weather classification model. Therefore, the collected image of the observation site can be judged through the weather classification model with a better classification effect; the weather condition corresponding to the moment is judged, the defects of manual observation can be avoided, stable and continuous observation output is guaranteed while the labor cost is saved, and a new observation station can be more conveniently established to obtain more weather information.

The invention belongs to the technical field of weather information processing, and discloses a southwest region precipitation extension period comprehensive forecast information processing method and processing system, and the system is mainly composed of a data processing and forecast server and an intelligent application terminal. The data processing and forecast server mainly comprises a data receiving module, a data low-frequency processing module, a low-frequency weather flow pattern determining module and the like. The intelligent application terminal comprises a data access module and other modules. The system quantitatively describes the low-frequency weather through multiple regression and a neural network algorithm, and comprehensively forecasts the precipitation in the southwest region in combination with a low-frequency weather map, a low-frequency disturbance energy map and the like. According to the invention, the forecasting result is more intuitive, dependence on artificial experience forecasting is reduced to a certain extent, and the influence of subjective factors is less. The system can play a supplementary role in forecasting of forecasting workers, and qualitative forecasting and quantitative forecasting are correctly combined for use, so that the forecasting efficiency and accuracy can be effectively improved.

The invention belongs to the technical field of weather forecasts and discloses an intelligent similar weather forecast method, an intelligent similar weather forecast system and an information data processing terminal. The method comprises the steps of respectively demarcating similar positions and range sizes on a historical weather map; establishing a database, wherein the historical weather map is input according to months, time and levels for intelligent machine recognition; after the database is established, performing trial forecast every day; forecasting a weather situation map according to the weather map or number of the day, and respectively finding out real weather reference of the day and the most similar historical day; and continuously improving according to the difficult degree in the similarity searching process and problems found in the trial forecast. With the intelligent similar weather forecast method, the intelligent similar weather forecast system and the information data processing terminal, the defect in a subjective weather forecast and a number weather forecast method of a forecaster can be skillfully overcome, and the workload of forecast duty is greatlyalleviated.

The invention discloses a general aviation weather information processing system. The general aviation weather information processing system comprises a weather information comprehensive processing subsystem, a weather information interaction subsystem, a weather data preprocessing subsystem and a geostationary satellite; the weather information comprehensive processing subsystem and the weather information interaction subsystem are in bidirectional electrical connection; the weather information comprehensive processing subsystem and the weather data preprocessing subsystem are in bidirectional electrical connection; the weather information comprehensive processing subsystem includes a digital satellite cloud image processing module, a flight position weather information generating module,an aviation weather data processing module, and a low altitude weather map generation module. The weather information is comprehensively processed, and the processed weather data is provided for general aviation users in real time; the general aviation weather information processing system can meet the requirements of low-altitude flight and random route during general aviation flight, and solvesthe problem that the existing general aviation weather information processing system cannot acquire marine meteorology and desert meteorology, and there are certain limitations in the weather information obtained by general aviation.

Methods for compiling, generating, and using a run weather index and a personalized run weather index which represent the cumulative and weighted effects of weather and environmental conditions on outdoor running for different distance categories. The run weather index and personalized run weather index represent relative environmental and meteorological conditions as they affect run performance. Targeted messages associated with a run weather index may also be delivered based on current and / or forecasted run weather indexes or personalized run weather indexes.

The invention relates to a ship weather fax device based on electric sea diagram and software wireless technique, wherein it can be used in the place supporting wireless signal. And it can avoid any AD converter to receive the wireless fax signal; therefore, the device can be connected to table PC, notebook computer, etc. And it can realize automaton and unmanned operation, to adjust receiving frequency, track best signal, etc, while it can display received diagram on electric sea diagram via vector, to analyze and predict weather.

The invention aims to provide a weather image classification method and device, and the method comprises the steps: determining a weather classification model for classifying weather images, wherein the weather classification model is obtained through the model training, testing and verification of an obtained sample weather image in an actual environment based on an improved dense convolution network; when weather identification needs to be carried out on the weather in the actual environment, obtaining a weather image to be classified in the actual environment, inputting weather images to beclassified into the weather classification model for classification, and obtaining a weather category corresponding to the weather image to be classified. Training and determination of the weather classification model are realized; the authenticity and effectiveness of the data source used for model training are ensured, the weather images to be classified acquired in the actual environment can be efficiently and accurately recognized subsequently, the corresponding weather types are predicted, and therefore the classification accuracy of the weather images to be recognized in the actual environment is improved.

The embodiment of the invention relates to a weather video data processing system. The system comprises a camera, meteorological equipment, a resource server, a picture server, a delay video server, a live broadcast server, a scheduling distribution server and a client. Through the system, a visual weather video data source is added for a user, various weather image and video viewing modes are provided, and a weather video customized live broadcast mode meeting the real-time viewing requirement is provided; by means of the system, the sensitivity and reaction efficiency of individuals and institutions to various weather conditions can be improved.

A weather forecasting system has weather forecasting logic that receives weather data from a satellite or other source, such as radar. The weather forecasting logic processes such data to identify cumulus clouds. For each cumulus cloud identified, the weather forecasting logic applies interest field tests and feeds the results into formulas derived based on measurements from current and past weather events. The model determines a score indicating the likelihood of the cumulus cloud forming precipitation and a score indicating the likelihood of the cumulus cloud forming lightning in the future within a certain time period. Based on such scores, the weather forecasting logic predicts in which geographic regions the identified cumulus cloud will produce precipitation and / or lightning during the time period. The predictions of the weather forecasting logic may then be used to provide a weather map thereby providing users with a graphical illustration of the areas.