37 results about "Weather satellite" patented technology

An apparatus for providing weather information onboard an aircraft includes a processor unit and a graphical user interface. The processor unit processes weather information after it is received onboard the aircraft from a ground-based source, and the graphical user interface provides a graphical presentation of the weather information to a user onboard the aircraft. Preferably, the graphical user interface includes one or more user-selectable options for graphically displaying at least one of convection information, turbulence information, icing information, weather satellite information, SIGMET information, significant weather prognosis information, and winds aloft information.

A method and apparatus for inhibiting or weakening the development of tropical cyclones by detecting the onset of tropical cyclonic activity using at least one storm tracking weather satellite and using at least one submerged modified nuclear powered submarine to pump cool subsurface water to cool the surface water in the area of such activity. The method and apparatus contemplate moving the submarine with the movement of the tropical cyclone as tracked by satellite with the objective that cooling activity is optimally positioned and unrelenting.

The invention discloses a sea fog all-time all-weather inversion method based on multispectral weather satellite information. According to the method, the influence of the diurnal change of sea surface temperature on the fog region identification is considered, a sea surface brightness temperature ambient field (clear sky composite map) (CSCM) is established aiming at the daytime and night respectively and independently according to the diurnal variation characteristic of the sea surface temperature, and a foundation is laid for accurate inversion of dissipation and concentration change in a satellite monitoring sea surface fog region; furthermore, the method aims at typical spectral characteristics of sea fog satellite monitoring at three different time intervals of daytime, night and morning and night, the optimized spectral combination and corresponding algorithm flow are respectively selected, and the all-time accurate identification of a sea surface fog region, a clear sky region and a cloud region is reliably realized.

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 bad block management system for a satellite-based NAND FLASH solid memory. The bad block management system comprises four groups of FLASH storage chips, a storage control FPGA (field programmable gate array), an EEPROM (electrically erasable programmable read-only memory) and a watchdog, wherein the four groups of FLASH storage chips are used for recording and playing back satellite payload detection data, and providing chip state feedback information and check information in solid memory erasing and writing processes; the storage control FPGA is used for controlling erasing, writing and reading operations of the FLASH storage chips, and interpreting whether the block is good or not according to the chip feedback information and the check information of the FLASH storage chips, so as to update a bad block list by the EEPROM; the EEPROM is used for storing bad block list information of the FLASH storage chips; and the watchdog is used for preventing a control signal end of the storage control FPGA from being in an unstable state to write wrong information into the EEPROM in the stand-alone electrifying and interruption processes. The bad block management system for the satellite-based NAND FLASH solid memory can be applied to a weather satellite data transmission sub-system; and according to a bad block management method, the accuracy and the integrality of satellite on-orbit remote sensing data are effectively ensured.

The invention relates to a forest fire recognition method based on a wind cloud weather satellite. The forest fire recognition method based on the wind cloud weather satellite comprises the followingsteps: receiving and acquiring original data; preprocessing the original data; and determining the threshold value for performing forest fire recognition and automatically performing forest fire hot spot recognition, wherein the determined threshold value comprises a judgment hot spot unit, a correction background temperature threshold value, a correction solar flare threshold value and a correction desert and vegetation nearby threshold value, so that the hot spot unit is confirmed. According to the method and through weather satellite monitoring, fire disaster which occurs early can be discovered in time and extinguished as soon as possible, the trend and extension situation can be monitored, and a serious forest fiber disaster is tracked and monitored.

The invention discloses a cloud computing and data virtualization-based weather satellite data processing system. A proposed data resource pool solves the problems of massive satellite data storage and computation, and solves the problems of massive satellite data storage and time-space coherence of satellite data storage; a time-space attribute is a most basic attribute of weather satellite dataand also a most complex attribute of the weather satellite data, and is a difficult point of a storage scheme; in storage system and scheme design, the time-space attribute of a satellite can be constructed and identified through a file name, a key, a file directory, an URI and the like in a unified environment; the satellite data can be subjected to virtualization operations of extraction, reconstruction, mapping and the like according to a time-space scale of storage and application; rich data views are provided; and based on the data views, the system can finish complex weather satellite data computing and processing. Therefore, the great convenience is brought for application of the weather satellite data.

The invention discloses a method for achieving all-weather communication by means of two inclined geosynchronous satellite orbit (IGSO) communication satellites. The method for achieving all-weather communication by means of the two IGSO communication satellites comprises the steps that the two IGSO communication satellites are placed at co-location positions of one or two geostationary earth orbit (GEO) communication satellites, and the ascensional difference of an ascending node between the two IGSO communication satellites meets the requirement that the two IGSO communications satellite can not be located within the range three degrees above or below the equatorial plane at the same time; when the IGSO communication satellites are located beyond the range three degrees above or below the equatorial plane, a satellite communication ground station conducts the communication application through transparent repeaters or processing repeaters on the IGSO communication satellites; when one IGSO communication satellite is located within the range three degrees above or below the equatorial plane, the satellite communication ground station switches the communication service from the IGSO communication satellite located within the range three degrees above or below the equatorial plane to the other IGSO communication satellite, the communication application is conducted through the transparent repeater or processing repeater on the other IGSO communication satellite, and thus all-weather satellite communication is achieved by the satellite communication ground station through the two IGSO communication satellites.

The invention discloses a photovoltaic power generation power control method based on gating convolution and an attention mechanism. The method comprises the steps that an end-to-end deep learning model BiGCNN composed of a Conv + Pool layer stacked network layer, a BiGLU network layer and an Attention network layer is constructed; wherein the BiGLU network layer and the Attention network layer are respectively used for extracting short-term and long-term time sequence dependence relations; weather data collected by sensors and meteorological satellites installed near photovoltaic equipment toa computer is transmitted through a wireless network; the computer loads the deep learning model BiGCNN to predict the power generation power at a certain moment in the future according to the numerical weather data in a past period of time and the historical power generation power of the photovoltaic equipment; based on the predicted power generation power, a photovoltaic power generation and planning system is helped to take positive defensive measures. By controlling the prediction result, the photovoltaic power generation and planning system can be helped to take positive defense measures.

The invention discloses an atmospheric temperature and humidity profile inversion method for a high-latitude complex underlying surface, and the method is characterized in that the method comprises the following steps: S1, channel selection; S2, selecting clear sky pixels; S3, constructing a neural network model; and S4, carrying out atmosphere temperature and humidity profile inversion. According to the method, the problem of high-precision inversion of the atmosphere temperature and humidity profile in the high-latitude region is solved, an atmosphere temperature and humidity profile inversion system based on infrared hyperspectral data carried on the Chinese meteorological satellite FY-3D is successfully constructed, and an inversion test shows that the method achieves ideal precision in atmosphere temperature and humidity inversion in the high-latitude region.

A weather satellite information processing algorithm simulation system and method are provided. The weather satellite information processing algorithm simulation system may include a data supplying unit to supply input data that is required to operate a weather satellite information processing algorithm, an algorithm operator to operate the weather satellite information processing algorithm, using the supplied input data, and a result analyzer to analyze a result obtained by operating the weather satellite information processing algorithm, and to generate analysis result data. The weather satellite information processing to algorithm may extract a product from weather satellite information stored by a weather satellite earth station.

The invention belongs to the technical field of forest fire monitoring and early warning, and discloses a forest fire monitoring and early warning system and method, a storage medium and computer equipment. The method comprises steps of using L1-level data information of a scanning radiometer carried by a wind cloud meteorological satellite; extracting fire points at different moments by using a fixed threshold method; dynamically tracking and monitoring a fire process by using a visual discrimination method to realize the positioning of an ignition point; normalizing vegetation index data byusing a scanning radiometer carried by a wind cloud meteorological satellite, correcting a forest fire risk index formula, making a forest fire risk weather grade relative to the first three days of afire hazard by combining local meteorological data, and analyzing a corresponding relationship between the fire risk weather grade and the forest fire hazard. The forest fire hazard early warning system has great significance in forest fire hazard monitoring and forest fire hazard early warning, effective information is provided for forest fire extinguishing command decision making, and scientific reference is provided for related decision making or service departments.

The invention provides a forest fire monitoring method and platform based on a sunflower weather satellite. Fixed point monitoring based on the sunflower weather satellite is used, and data is uploaded per 10 minutes, so that instantaneity of fire monitoring is greatly improved, and early warning of fire is timelier and more accurate.

The invention discloses a disaster weather satellite cloud atlas classification method and device, and the method comprises the steps: undersampling and oversampling an unbalanced satellite cloud atlas, carrying out sample generation through a generative adversarial network, achieving the oversampling of samples, replacing the conventional simple copying, and generating data through the generativeadversarial network. Compared with data generated through simple copying, the data generated through simple copying can better fit the distribution probability, texture characteristics and other information of original data, and therefore the robustness in the model training process can be enhanced; meanwhile, training is carried out through transfer learning, feature information of samples withthe large original data size can be reserved to a large extent, and therefore when transfer training is carried out on a data set obtained after data equalization processing, the precision of large-class samples can be reduced as much as possible, and meanwhile the precision of each small number of samples is improved.

The invention discloses an all-time quantum communication method based on circular polarization coding. The left-hand states and the right-hand states of two photons which are near a near infrared waveband and an even longer waveband and have extremely close wave lengths are creatively used as two pairs of orthogonal basis vectors to replace the straight line basis and the diagonal basis of traditional linear polarization coding. Compared with the traditional linear polarization coding technology, the circular polarization single-photon coding technology has the advantages that the anti-jamming capacity on the atmospheric environment in the photon propagation process can be enhanced, the information transmission efficiency is improved, the influences of sky background noise in daytime during detection are effectively reduced, and the error rate of key transmission is decreased. According to the method, the negative impacts brought by the linear polarization coding mode in existing satellite-ground quantum communication can be overcome, a novel cloud-frog-penetrating quantum communication method without needing satellite-ground basis vector correction is achieved, and a new path isprovided for achieving all-weather satellite-ground quantum communication.

The invention discloses a precipitation product integration method of a geostationary meteorological satellite and a polar-orbiting meteorological satellite. A Lagrange integration algorithm is adopted, infrared observation information of the geostationary meteorological satellite is used for computing infrared cold cloud moving vector to provide a constraint condition for the development of polar-orbiting meteorological satellite microwave precipitation, and therefore the integration of the infrared observing information of the geostationary meteorological satellite and the polar-orbiting meteorological satellite microwave precipitation is achieved. According to the method, the respective advantages of the geostationary meteorological satellite and the polar-orbiting meteorological satellite can be fully achieved through the integral application of the geostationary meteorological satellite and the polar-orbiting meteorological satellite.

The invention discloses multifunctional aerostat meteorological support equipment. Comprising an L-band low-troposphere wind profile radar, an X-band Doppler weather radar, an automatic weather station, a weather satellite receiving system, a server, a display terminal, a three-dimensional electronic compass, a Beidou positioning navigation module, a transportation platform, a first 6-meter special-shaped electronic square cabin, a second 2-meter standard electronic square cabin, a first electric lifting rod, a second high-precision electric lifting rod, an automatic erecting system and the like. All the devices are highly integrated and installed at all positions of a transportation platform modified based on a military second-class chassis. The aerostat meteorological support forecasting system has the advantages of multiple observation means, good data fusion, high system integration degree, various deployment means, strong maneuverability and high forecasting accuracy, not only meets the requirements of more accurate aerostat meteorological support forecasting, multiple functions, high integration and simple operation, but also effectively improves the safety and reliability in the aerostat and load retracting and releasing and hang process.

The invention discloses a spinning stabilization weather satellite scanning synchronizer. The synchronizer comprises a reference selection circuit, a simulated phase-locked frequency multiplication circuit, a beta angle compensation pulse generation and correction circuit, a beta angle accumulation error correction circuit and a synchronous control signal generation circuit. The reference selection circuit comprises a filter, a shaper and a one-out-of-four simulation switch. The simulated phase-locked frequency multiplication circuit comprises a phase-locked loop, a loop filter and a 216 frequency divider. The beta angle compensation pulse generation and correction circuit comprises a crystal oscillator, a 223 frequency divider, a monostable trigger and an OR gate chip. The beta angle accumulation error correction circuit comprises a 24 frequency divider, a time delay device, an RS trigger, an AND gate chip and a one-out-of-two simulation switch. The synchronous control signal generation circuit comprises a 12-bit binary-system serial counter, a decoder, and a driving chip. In the invention, the rapid locking of an ultralow frequency input signal is realized, high stability duringworking can be ensured, a pulse compensation function is easy to realize and high compensation precision is guaranteed.

The invention relates to a lightning early warning method based on weather satellite data. The technical problem that the influence is caused by terrain factors and detection ranges is solved. By means of the method, by analyzing and processing meteorological data observed by a satellite and building the relation between the satellite observation data and lightning occurrence, a lightning early warning model based on a satellite observation product is built, by means of lightning real-time monitoring data, the lightning early warning model is inspected, a proper lightning inspection method isbuilt, and the early warning model is subjected to inspection optimization; the problem is well solved, and the method can be used for lightning early warning.

The invention relates to the field of meteorological analysis, and discloses an all-weather cloud phase inversion method based on an MERS-II instrument carried by a polar orbit meteorological satellite, and the method specifically comprises the steps: calculating an effective absorption optical thickness, namely beta, through employing an effective cloud emissivity obtained by a thermal infrared channel carried by a polar orbit meteorological satellite multispectral imager; for beta ratios of different channel combinations, liquid water clouds and ice clouds can be distinguished within the radius range of most effective particles. The cloud phase state is judged through a series of detection such as low surface emissivity detection, opaque cloud detection, water vapor channel multi-layer cloud detection, infrared window area channel multi-layer cloud detection, homogeneous freezing detection, water vapor channel ice cloud detection, secondary ice cloud detection, mixed phase state cloud detection and multi-cooling liquid state cloud detection by combining and using a beta ratio and brightness temperatures of different channels. By implementing the technical scheme of the invention, the limitation of the zenith angle of the sun is avoided, so that the all-weather cloud phase inversion product of the polar orbit meteorological satellite can be obtained.

The invention relates to a short temporary rainfall weather prediction method and device, electronic equipment and a computer readable medium. The method comprises the following steps: respectively generating an observation precipitation probability graph, a satellite precipitation probability graph and a radar precipitation probability graph based on meteorological observation data, a meteorological satellite cloud picture and a radar echo graph; performing longitude and latitude correction on the observation rainfall probability graph, the satellite rainfall probability graph and the radar rainfall probability graph; inputting the corrected observation precipitation probability graph, the corrected satellite precipitation probability graph and the corrected radar precipitation probability graph into a precipitation analysis model to generate a short-term actual precipitation graph; and predicting and / or correcting the short-term rainfall weather based on the short-term actual rainfall map. According to the short temporary rainfall weather prediction method provided by the invention, the short temporary rainfall is predicted in combination with the meteorological data of multiple channels, so that the use range of the socialized meteorological observation data can be expanded, the data source of the short temporary rainfall can be enriched, and the prediction accuracy and precision of the short temporary rainfall are improved.

The invention provides an agricultural product climate quality evaluation method based on lattice meteorological data, and the method comprises the steps: obtaining the lattice solar radiation data of a meteorological satellite, and generating first meteorological data at least according to the solar radiation data; obtaining lattice second meteorological data according to a preset three-dimensional meteorological data fusion model, and counting third meteorological data of each growth period in the to-be-evaluated region according to the second meteorological data; and according to the first meteorological data, the third meteorological data and a preset specified agricultural product climate quality evaluation standard, performing climate quality evaluation on the specified agricultural product. According to the embodiment of the invention, two types of lattice data including meteorological satellite remote sensing data and meteorological model fusion data are applied to agricultural product climate quality evaluation, solar radiation data are supplemented, kilometer-level coverage of a crop planting area is realized, and the reliability of an agricultural product climate quality evaluation conclusion is improved. The invention further provides an agricultural product climate quality evaluation device, computer equipment and a readable medium.

The invention relates to a lightening damage early-warning method and system for an electric transmission line. The method includes the following steps that first, weather, satellite, radar and lightening positioning system data are collected, and lightening early-warning parameters at some period in the future are obtained through a comprehensive lightening prediction algorithm; second, according to different lightening overvoltage formation mechanisms, shielding failure and back striking calculation models are selected respectively, calculation is performed through the lightening early-warning parameters and line characteristic parameters, and the lightening trip probability of the electric transmission line is predicted; third, the lightening trip probability of the line is evaluated, the lightening trip probability of each base electric transmission line pole tower is compared with a determined line trip risk early-warning threshold value, and different levels of early-warning signals are obtained. Through the lightening damage early-warning method and system for the electric transmission line, lightening damage to the electric transmission line can be early warned effectively and timely, and technological support is provided for lightening protection and disaster relief of the electric transmission line.

The invention discloses a method, a device and equipment for determining newborn convection information, and a storage medium. The method comprises the following steps: determining weather forecast data according to acquired satellite data; after a variable required for simulating the infrared brightness temperature value is extracted from the weather forecast data, obtaining the infrared brightness temperature value through simulation based on the variable and the model information of the current meteorological satellite; and when a first preset time condition is satisfied, presenting the obtained infrared brightness temperature value in a meteorological cloud picture, and determining newborn convection information according to the displayed meteorological cloud picture. According to the technical scheme, the variable required for simulating the infrared brightness temperature value can be extracted from the weather forecast data based on the variable and the model information of the current meteorological satellite, the infrared brightness temperature value is obtained through simulation according to the variable, and then the primary convection information is determined through the infrared brightness temperature value; since the predictable duration of the weather forecast data is longer than that of the newborn convection, the forecasting capability of the newborn convection information is improved, and the forecasting duration of the newborn convection information is further improved.

The invention discloses a Yolo-based meteorological satellite cloud image target detection method. Divide the multiple visible light cloud maps into: the first visible light cloud map, the second visible light cloud map and the third visible light cloud map; wherein, the proportion of invalid information in the first visible light cloud map is ψ 1 satisfy ψ 1 <ψ min ; The proportion of invalid information in the second visible light nephogram ψ 2 satisfy ψ min ≤ψ 2 ≤ψ max ; The proportion of invalid information in the third visible light nephogram ψ 3 satisfy ψ 3 >ψ max ;ψ min is the lower limit of the invalid information threshold, ψ max is the upper limit of the threshold value of invalid information; 3. fuse the first visible cloud image with its corresponding infrared cloud image to obtain a fusion cloud image; combine the infrared cloud image corresponding to the first visible cloud image, the fusion cloud image and the third visible cloud image to form a cloud atlas to be detected; 4. The Yolo algorithm is used to perform target detection on the cloud images in the detection cloud image set, and identify the typical weather phenomena in the cloud images.

The invention relates to the field of meteorological analysis, discloses a daytime cloud phase inversion method based on a polar orbit meteorological satellite MERSI, and develops a daytime cloud phase identification product by utilizing radiation observation of a medium resolution spectral imager MERSI of a second generation polar orbit meteorological satellite FY-3D in China. Based on MERIS L1 data of radiometric calibration and geographic positioning and a cloud detection product, in combination with earth surface type data, by utilizing spectrum and texture characteristics of visible light, infrared and near-infrared channels and by utilizing different thermodynamic phase states of cloud top particles, cloud phase state identification is carried out on cloud pixels by adopting a threshold value method, and a cloud phase state product with the resolution of 1 km is obtained. By implementing the method, the identification precision of the cloud phase state can be effectively improved, and particularly, the mixed cloud phase state can be effectively identified.

The invention discloses a method and system for monitoring mountain fires in transmission lines, comprising the following steps: 1) establishing a basic database on a server, storing and updating in real time the latitude and longitude coordinates of fire points (obtained according to data received and measured by meteorological satellites), transmission lines Longitude and latitude coordinates and distance threshold; 2) Calculate the distance between them according to the longitude and latitude coordinates of the fire point and the longitude and latitude coordinates of the transmission line, if the distance is less than the distance threshold, then generate alarm information; 3) Push the alarm information to the mobile terminal; 4) Move After the terminal receives the alarm information, it reminds the staff to check it. The present invention enables the transmission line operation and maintenance personnel to quickly obtain the overburden fire condition of the transmission line and make a response.