122 results about "Weather system" patented technology

A system provides monitoring / feedback to a transportation vehicle regarding the state of that vehicle based on, at least, information provided by sensors located on or in the transportation vehicle. Monitoring the transportation vehicle provides information about the status of the transportation vehicle and equipment on or in the vehicle. Feedback information is provided to the transportation vehicle based on the information received during monitoring. Additionally, feedback information may be formulated based on additional criteria receiver from equipment other than the sensors located on or in the vehicle, for example, meteorological systems, geographic location systems, e.g., a radar system, a global positioning system, etc. The information provided by the sensors and the formulated feedback information may be stored in memory on the transportation vehicle as well as at a stable location for archiving and subsequent analysis.

A weather data aggregation and display system for displaying weather radar information to a pilot of a member aircraft of an airborne network of member aircraft. The weather data aggregation and display system includes an airborne network system (ANS) positioned on the member aircraft adapted to receive incoming geo-referenced weather data regarding Significant Meteorological Systems (SMS) from associated airborne network systems positioned on other member aircraft. A data processing system (DPS) is coupled to the airborne network system for generating the member aircraft's perspective of the SMS, based on the incoming weather data and the member aircraft's navigation and attitude information. The DPS provides DPS output weather data. An airborne display system (ADS) is positioned on the member aircraft and coupled to the data processing system. The airborne display system is adapted to receive the DPS output weather data and in response thereto display desired weather imagery of the Significant Meteorological Systems. The ANS is adapted to re-transmit the incoming geo-referenced weather data to associated airborne network systems positioned on other member aircraft.

A method of predicting storm cell characteristics at a future time is provided. A value relating to a characteristic of the storm cell is determined from reflectivity data processed from signals received from a radar scan of the storm cell. A second storm cell is identified that is part of the same weather system as the storm cell. A plurality of values relating to the characteristic for the identified second storm cell is received from a memory wherein the plurality of values were determined at a plurality of different times. The determined value of the storm cell is compared with the determined plurality of values of the identified second storm cell. A growth rate of the storm cell is determined. A maximum height of the storm cell at a third time in the future is calculated based on the comparison and the determined growth rate and presented to a user.

The invention discloses a power grid comprehensive visualization method based on multi-service system information fusion. On the basis of comprehensively organizing service flows and data models of links of an intelligent power grid, an information exchange bus crossing a production control region and a management information region is utilized to obtain relative operational and management information of systems such as a production management system (PMS), a distribution management system (DMS), an energy management system (EMS), an electric transmission and transformation equipment state monitoring system, a distribution network production quick-repairing commanding platform, a centralized video monitoring system, a marketing management system, an electricity consumption information acquisition system, a geographical information system (GIS), an intelligent district energy consumption management system, a residential area intelligent electricity consumption interaction and energy efficiency management system, an electric vehicle charging facility comprehensive monitoring and management system and a weather system, and furthermore, based on the relative operational and management information, the data is subjected to deep mining, analysis and comprehensive displaying. The power grid comprehensive visualization method based on multi-service system information fusion helps the production operational and management personnel to master the real-time running state of the power grid more comprehensively, visually and effectively.

A wireless phone navigation system that obtains and uses weather system data to alert and re-route a user around inclement weather located at a point on the user's navigated route, as predicted to be at a time in the future that the user would otherwise be expected to traverse that part of the navigated route. A weather polygon is drawn around a perimeter of a weather system obtained from current weather data. The weather polygon (or other shape) may be drawn based on configurable weather items to be avoided, e.g., rain, ice conditions, snow on ground, etc. The re-routing may be based on a prediction of a future position of a weather system with respect to where on a navigated route a user will be at that future time.

Systems and methods for improving output of weather information. A weather radar system receives weather reflectivity values. A processing device stores the received weather reflectivity values into a three-dimensional buffer, calculates a sum of the reflectivity value stored in a column of cells within the three-dimensional buffer, and assigns a first hazard indication to the cells of the column when the result of the calculation is above a first threshold. A display device generates a weather display based on data stored in the three-dimensional buffer. The weather display includes a display icon associated with the hazard indication when a cell from the three-dimensional buffer has been selected for the weather display.

An air heavy pollution case judging method based on weather classification and meteorological element clustering comprises the following steps: classifying main weather systems and meteorological elements affecting PM2.5 concentration distribution from a meteorological point of view of factors influencing air pollution diffusion based on historical data of meteorological elements and monitored PM2.5 hourly data, and innovatively establishing a weather classification and pollutant source analysis algorithm based on a backward track pattern; and on the basis of the numerical WRF simulation result, looking for cases similar to typical weather situations of pollution weather in the same season in the history to serve for air quality forecast. A weather classification method and a numerical calculation simulation method are combined, which improves the accuracy of forecast results and reasonably avoids abnormality in numerical calculation results; an automatic classification similarity forecast method is built, which makes air quality forecast more business-oriented; and the cause and source of heavy pollution can be analyzed, and the applicability of the algorithm is improved greatly.

Systems and methods for improving output of weather information. A weather radar system receives weather reflectivity values. A processing device stores the received weather reflectivity values into a three-dimensional buffer, calculates a sum of the reflectivity value stored in a column of cells within the three-dimensional buffer, and assigns a first hazard indication to the cells of the column when the result of the calculation is above a first threshold. A display device generates a weather display based on data stored in the three-dimensional buffer. The weather display includes a display icon associated with the hazard indication when a cell from the three-dimensional buffer has been selected for the weather display.

The invention discloses an unmanned vehicle testing system and method, so as to test whether an unmanned vehicle can drive normally in different environments. The unmanned vehicle testing system comprises an unmanned vehicle bench, a simulation testing module and an environment simulation module, wherein a to-be-tested unmanned vehicle is arranged on the unmanned vehicle bench; the environment simulation module is used for generating environment data; the simulation testing module is used for carrying out modeling according to the environment data to obtain a virtual scene, and road surface parameters and image data are transmitted to the unmanned vehicle bench; the unmanned vehicle bench is used for enabling the unmanned vehicle bench to act according to the road surface parameters to simulate the road surface state of the unmanned vehicle during a testing process, and the current speed and attitude data of the to-be-tested unmanned vehicle are acquired. The unmanned vehicle testing system disclosed in the invention is unified with the real world testing environment, the real world is simulated, simulation parameters comprising a weather system, a light system, emergency situationsimulation and road surface parameters are added, and the testing result is more accurate.

This invention relates to a method and apparatus for energy effective regulation of temperature and ventilation of one or more ventilation units of buildings, where one or more heat-pumps are used to exchange thermal energy between outdoor air and an indoor heat carrying fluid medium and where the heating and / or cooling of each ventilation units are achieved by distributing the indoor heat carrying fluid medium in each ventilation units, in such a manner that the natural short term variations in outdoor temperature due to passages of weather systems and the day / night variations is utilized to give the one or more heat-pumps optimized conditions such that they are only turned on for extracting outdoor heat which is delivered to the indoor heat carrying and distributing fluid medium at the relative warm periods in the case of warming the buildings, or only in the relative cold periods for cooling the heat carrying and distributing fluid medium for removal of indoor heat in the case of cooling the buildings, and that the thermal energy that is exchanged with the outdoor air is partly used to cover the ventilation units actual demand for heading or cooling while the remaining major part of the thermal energy is sent to a thermal store to cover the ventilation units heating or cooling demand during the subsequent periods where the natural weather conditions is less favorable for exchanging thermal energy from outdoor air by use of heat-pumps.

A method of providing weather radar images to a flight crew of an aircraft includes obtaining raw volumetric radar data corresponding to at least one signal reflected off of a weather system. Based on the radar data, the weather system is computationally classified as being of a first type of a plurality of weather-system types. After classifying the weather system, the radar data is image processed, the image processing yielding an image representing the weather system and corresponding to the first weather-system type. The image is displayed on a display device.

A smart home gardening cabinet is disclosed that includes a plurality of plant growing drawers each having a vertical lift door and an automatic precision weather system to grow a specific type of plants, each automatic precision weather system includes an array of lights for photosynthesis, an air circulation system, and a water circulation system that provides nutrient water to the specific plants in each plant growing drawer; each plant growing drawers having a plant growing tray that includes an array of growing holes filled with a sponge materials to absorb and retain nutrients which are misted to the roots of the plants, excess nutrient water being returned to the water circulation system to save water.

A Supervisory Control And Data Acquisition (SCADA) system guides navigation of a vessel enabled to extract energy from wind and / or water currents primarily in offshore marine environments. An exemplary SCADA system could embody server and client software applications running on microprocessor systems at a remote control central service logging and energy distribution facility, and the vessel itself. The remote control service facility runs Human Machine Interface (HMI) software in the form of a Graphical User Interface (GUI) allowing choices to maximize system performance. The central server accesses information to control vessel position based on transmitted Global Position Satellite (GPS) data from the vessel, and weather information from the Geographic Information System (GIS) provided by multiple spatial temporal data sources. A server-side optimization algorithm fed the parameters delivered from vessel aerodynamic / hydrodynamic performance simulation software models, the vessel onboard sensor data, and integrated real-time weather and environmental data determines an optimal navigation through weather systems and presents choices to the HMI.

The invention discloses a dual linear polarization radar system. The dual linear polarization radar system comprise a data base module, a strong storm preprocessing module, a data matching and identification module, a strong storm processing module, a data correction module and a strong storm early-warning module. Time and space synchronization of a large-scale or specific-region weather system and collaborative observation of a fine structure are achieved by utilizing an efficient communication network application satellite navigation system adaptive to a weather radar network through an application of radar networking. High-definition GIS information and the collaborative observation are combined, quantitative time and space consistency of networking radar observation is achieved, and abilities to monitor and early warn disastrous weather such as strong rain are improved. The invention further provides a corresponding measurement method for the strong rain on a plateau by utilizing a dual linear polarization radar system network.

Present invention discloses a plane precipitation enhancement system. It contains 1, weather early-warning system, 2, decision making system, 3, flying dynamic positioning, 4, validity check, 5, database and management. Present invention calculates ice saturation zone of each negative temperature layer, water vapor vertical feeding zone, water vapor integrated quantity etc indices volume on basic physical quantity computational foundation, for determining plane precipitation enhancement cloud seeding zone. On validity check, said invention adopts active contrast area and influence zone method according to operational zone silver iodide particle diffused concentration to determine plane precipitation enhancement influence zone, adopting simple times weather system layering history reversion or regional correlation statistical method to determine precipitation enhancement quantity. Said invention establishes complete service technology system.

The invention discloses an NRIET rainstorm intelligent similar analysis method. In a meteorological big data similar forecasting method, a similar criterion is obtained by means of machine learning, asimilar calculation scheme can be established more accurately, meanwhile, similar deviation is used as a measurement standard, such that not only numerical similarity of elements is considered, but deformation factors of a weather system are also added. In addition, the level of similarity of different variable fields in the weather process is quantitatively measured by combining image big data similarity level, element fields are gradually introduced for similar filtering, and finally the dates of similar cases are obtained, and the historical live scenes corresponding to the similar cases are taken as a basis for making a weather forecast. According to the method, a graph big data technology and a traditional similar algorithm are combined, the atmospheric circulation evolution trend provided by a numerical forecast product is utilized, the three-dimensional structural features of the weather development process are considered, the linear and nonlinear change rules of the atmosphereare considered, and the method has the characteristics of clear idea and strong intuition and is used for assisting in forecast and analysis.

The invention provides a big data-based control device monitoring and analyzing system and method. The big data-based control device monitoring and analyzing system comprises a substation device running big data analyzing system and an opening and losing state remote monitor apparatus of a high voltage isolation switch. The substation device running big data analyzing system comprises a device account resume information module, a data identification module, and a monitor big data analyzing application module. Through adoption of the system and method, information of related devices like a monitor system, an OMS system, a weather system and an operation ticket system can be accessed intensively, so that a problem of discrete storage of related information of different devices is solved; post analysis of device monitor information is changed into pre-estimation and pre-determining and processing during the event through normalization of a data source end; and a D5000 monitor signal is associated with a device of the OMS system and a big data analysis technological manner is adopted, so that the intelligent level of analysis of monitor information is improved substantially, and more effective and practical technological support is provided for centralized monitor running.

The invention discloses a retrieval method and device for a water vapor profile.The method comprises the steps of obtaining mode data from an NCEP and hyperspectral satellite data from a CrIS; according to the mode data and the hyperspectral satellite data, searching for an experience orthogonality regression coefficient matched with the hyperspectral satellite data in a database, wherein the database comprises one or more experience orthogonality regression coefficients; according to the hyperspectral satellite data and the experience regression coefficient, conducting retrieval, so that the water vapor profile is obtained, wherein the simulation radiation value of a training sample and an experience orthogonality expansion matrix of the water vapor sample profile are fitted through a least square method, calculation is conducted, and the experience orthogonality regression coefficient is obtained.By means of the retrieval method and device, the water vapor profile can be obtained stably and rapidly through hyperspectral data retrieval, an important technical means is provided for monitoring water vapor distribution, the method and device are applicable to service application, and data product support is further provided for more deeply understanding and quantifying the feedback effect of water vapor on a weather system and a climate system.

The invention discloses a method for calculating whole circuit in-place weather information of an electric transmission and transformation circuit. The method includes the following steps: (1) segmentation analysis is carried out the electric transmission and transformation circuit through an electric transmission circuit whole-circuit decomposing module, the positions of circuit devices at representative points are determined, and then the analyzed position information is transmitted to an electric transmission and transformation circuit real-time weather information calculating module and an electric transmission and transformation circuit prediction weather information module; (2) weather real-time information of the positions of the representative points of the electric transmission and transformation circuit is completely calculated by collecting data of automatic weather stations along the electric transmission and transformation circuit through the electric transmission and transformation circuit real-time weather information calculating module; (3) weather prediction information of the positions of the representative points of the electric transmission and transformation circuit is completely calculated by an electric transmission and transformation circuit prediction weather information calculating module through grid point data of numerical weather prediction; (4) the weather real-time information and the weather prediction information of the whole circuit are gathered by an information issuing module and displayed on a power grid weather system platform. According to the method, circuit in-place weather real-time data and prediction data in 1 hour-72 hours in future can be generated.

The invention belongs to the field of agriculture and water resource development and utilization, and discloses an agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply, which comprises a crop water demand information acquisition module, a soil water supply information acquisition module, a data center, a meteorological forecasting module,a drought forecasting module and a drought analysis module. According to the method, through crop water shortage index calculation and crop water profit and loss prediction calculation in future predetermined time in different regions, the water shortage condition of crops can be comprehensively evaluated, and a reliable data basis is provided for analysis and evaluation of drought conditions. According to the invention, a meteorological system and a crop water requirement law are combined for development, including agricultural drought comprehensive prediction, monitoring, scientific assessment and early warning, so that water resources can be reasonably allocated to cope with drought, and the method has very important theoretical and practical significance for solving the drought and promoting crop growth.

The invention relates to a method for monitoring farmland ammonia volatilization in real time based on laser absorption spectrum technology, which comprises the following steps of using an open type long optical path diode laser absorption spectrograph to measure the ammonia concentrations of the volatilization source in the upwind direction and the downwind direction simultaneously; using a three-dimensional ultrasound anemobiagraph to measure meteorological data such as three-dimensional wind speed and temperature, or using a profile weather system to measure the wind speed, temperature and wind direction of different heights; estimating the theory proportion (C / Q) sim of the concentration to the volatilization rate of the air through reverse analog of the motion track of the air particle from the volatilization source to the air concentration monitoring position based on the ammonia concentration and the metrological data; and calculating the air volatilization rate Q (Mu g*m<-2>*s<-1>) by the following formula and getting rid of abnormal analog value according to the metrological data. The method is applicable to volatilization sources of any scale and shape, and can continuously monitor ammonia volatilization on line in real time with advantages of non contact, high sensitivity, high selectivity, and high time resolution ratio.

The utility model discloses a novel artificial weather influencing system. Meteorological environment data can be collected in a specified detection area through a pilotless aircraft; when it is determined that cloud-seeding operations can be carried out according to the meteorological environment data, the pilotless aircraft is controlled to ignite or scatter articles carried by the pilotless aircraft and used for artificial precipitation in the detection area. Compared with the prior art, due to the fact that the system does not need to be controlled manually by a pilot, labor resources cannot be much wasted in the artificial precipitation operation process. Meanwhile, a ground artificial precipitation subsystem serves as an effective addition for the pilotless aircraft to achieve the artificial precipitation operations, and accordingly the novel artificial weather influencing system can be used for completing the artificial precipitation operations through different artificial precipitation ways, and the success rate of the artificial precipitation operations is improved.

The invention relates to a weather system capable of shooting pictures in real time and conducting sharing. The weather system comprises a shooting setting module, a local storage area, a picture editing unit, a sharing module and a picture boutique unit, wherein the shooting module is connected with a picture shooting application at a mobile terminal to conduct real-time picture shooting, the local storage area is used for recording and storing the shot pictures, the picture editing unit is provided with different picture render effect and weather information assembly options, and a user can edit the pictures through the picture editing unit, the sharing module is used for uploading the edited pictures into a database of a far-end server, the picture boutique unit is connected with the database of the far-end server in a timing mode to obtain updated picture data, and the updated picture data are displayed in the picture boutique area. The functions of shooting the weather pictures of the current environment in real time and conducting sharing exhibition in cooperation with weather information are accordingly achieved, the interestingness and the interactivity of the weather system at the mobile terminal are strengthened, and the user experience is improved. The invention further provides an implementation method of the weather system capable of shooting the pictures in real time and conducting sharing.

The present invention relates to a drawing method of isopiestic line air pressure slot line and ridge line. The method comprises the steps of: determining whether an isopiestic line is a closed curveor not, if yes, extracting slot points and ridge points by employing a chord contact method, or else, extracting slot points and ridge points according to the position where the isopiestic line is located; and tracking the slot points and ridge points, and connecting the slot points and the ridge points. In the invention, extraction of the slot points and the ridge points of an air pressure fieldcan be tested based on the chord contact method, and the least square method curve fitting algorithm is employed to provide a unique ligature method of the slot points and the ridge points to obtain agood automatic identification result of the slot points and the ridge points. The connection result of the slot points and the ridge points meets the requirements of the weather system slot and ridgeline analysis to reflect the trend of the slot points and the ridge points, and the test result shows that the algorithm can complete the automatic analysis and identification of the slot lines and ridge lines of the weather system.

A system and method for measuring and displaying current weather conditions on wireless cellular phones are shown. An electronic weather system collects current weather information data from sensors within wireless cellular phone using a collection program and assembles the data in the cellular phone's memory. An internal program is used to display the weather information on the wireless cellular phone display device such as Liquid Crystal Display (LCD) and others. A user can view the weather information such as temperature, humidity, wind speed and direction, rainfall, barometric pressure, dew point, windchill, altitude, compass, longitude, latitude, heat index, UV Index and moonlight and tides conditions for outdoor activities, at the cellular phone's current location which can be outdoors or indoors. The system shares the information with other wireless cellular phones via global web program over the internet.

The invention discloses a construction method and a construction device for rain cluster identification and characteristic parameters thereof. The construction method comprises the steps of: identifying precipitation pixels by utilizing a precipitation amount provided by a satellite-borne precipitation radar (PR), and identifying a complete precipitation region detected by the PR in a scanning width range to be a rain cluster; combining topographic data between 40 degree of north and south latitudes and in a horizontal resolution range from 3 to 10 kilometers for matching the rain cluster to obtain sea-land and terrain elevation information of the rain cluster; defining geometric characteristic parameters and physical characteristic parameters of the rain cluster according to physical contents of the rain cluster, and calculating the defined geometric characteristic parameters and physical characteristic parameters of the rain cluster; and matching the geometric characteristic parameters and the physical characteristic parameters of the rain cluster obtained through calculation with the sea-land and terrain elevation information of the rain cluster as well as original data of the PR to construct a rain cluster characteristic parameter data set. The construction method and the construction device are conductive to learning rain cluster characteristics of different weather systems, and provide a good test platform for developing multi-instrument, multiband and multi-angle satellite joint observation data fusion in future.

The invention discloses an automatic artificial influence weather system operation platform comprising an antiaircraft gun, a measuring unit and a communication unit, wherein the measuring unit is connected with the antiaircraft gun, and internally comprises an elevation measuring instrument, an azimuth angle measuring instrument and a cannonball emitting quantity recorder which are respectively used for measuring the elevation and the azimuth angle of the antiaircraft gun and the cannonball emitting quantity; the communication unit is a handheld type front end machine, and is used for receiving instructions and feeding back data together with the measuring unit and a command center in a wireless manner; and the automatic artificial influence weather system operation platform also comprises an antiaircraft due north calibrator which is used for correcting the due north direction. The automatic operation platform does not need to be subjected to artificial collimation, so that the requirement on operators is reduced, the replacement of operators is easier, and simultaneously, the collimation accuracy is improved, the operation is accurate and effective, the level of modernization of the artificial influence weather business is improved obviously, and the automatic artificial influence weather system operation platform conforms to the development direction of modern weather business, and has significant meaning on the development of artificial influence weather business.

The invention discloses an association method for meteorological data and electrical network facilities. The method comprises: carrying out access of real-time monitoring and early warning meteorological data to a power grid GIS platform; localizing power equipment and a meteorological monitoring station at an early warning area in the power grid GIS platform, carrying out coordinate conversion and displaying positioning information of the meteorological monitoring station on a power grid GIS map; establishing an equipment graph layer and a meteorological chart layer respectively on the power grid GIS map; and carrying out matching association on the meteorological chart layer and the equipment graph layer, thereby realizing real-time display of meteorological information as well as early warning analyses and display of meteorological disasters of power equipment. The method and system have the following beneficial effects: visual, omnibearing, and real-time monitoring of occurrence and development of disastrous weather like the typhoon, rainstorm, and severe convection and the like for power equipment can be realized and movement and evolution of the weather system can be tracked; and an analysis basis can be provided for prediction of the disastrous weather.