54 results about "Space weathering" patented technology

A system and method of forecasting space weather (at Earth or another location) based on identifying complex patterns in solar, interplanetary, or geophysical data. These data may include current or historical measurements and/or modeled data (predicted or simulated). Data patterns (both non-event and event-related) are identified (even when another event is occurring). Such patterns may vary with recent/cyclic variations in solar (e.g. solar max/min), interplanetary, or geophysical activity. Embodiments are built around: (1) templates, (2) expert systems, (3) neural networks, (4) hybrid systems comprising combinations of (1), (2) and/or (3), and multimodal intelligent systems. Forecasts are customized and/or updated as new data arise and as systems are dynamically modified (e.g. via feedback between system parts). Numerical or other indexes are generated representing: forecasts, associated confidence levels, etc. The invention predicts events/non-events and/or other values or parameters associated with space weather (e.g. Dst, event onset time, duration, etc.)

The invention discloses an auroral oval boundary position prediction method based on interplanetary and geomagnetic parameters. Estimation is performed on geomagnetic latitude of auroral oval boundaries in the equator direction and the pole direction at all magnetic places according to interplanetary and geomagnetic environment, and the method can be used in prediction for an auroral oval boundary position in space weather research. The method comprises the following achieving steps: (1) UVI image pre-processing, (2) automatic division of the auroral oval boundaries, (3) obtaining of the interplanetary and geomagnetic parameters, (4) construction of a data set, (5) regression modeling, (6) prediction of the auroral oval boundary position, and (7) evaluation of a prediction result. According to the experiment result, the method can predict the auroral oval boundary position at an about 1.7MLAT average absolute error in a relatively accurate manner, and the method has great practical value in the space weather prediction aspect.

A method and system of globally monitoring space weather conditions, use an imager, including one or more telescopic instruments and one or more processors, containing computer program code. The imager is configured on a platform; and positioned in the near Earth space environment, where, based on the executed computer program code, the imager compiles information about space weather conditions, by directly detecting electron emissions on a global basis. Network interfaces coupled with the imager provide, over a communications network, a plurality of communications and information, about space weather conditions, between the imager and a plurality of operational space assets and operational Earth assets. The plurality of communications and information about space weather conditions includes signals and information which automatically alert the plurality of operational space assets and operational Earth assets of effects of a solar wind.

The invention discloses a satellite-borne very low frequency solar radio observation system. The system is used for observing a low frequency solar radio signal of 20-100 MHz. The system comprises three electric field sensors, three sets of analog receivers, a data acquisition and processing module,a time frequency module, a power module and a storage module, wherein the three electric field sensors are respectively connected with the three sets of analog receivers; the three sets of analog receivers and the time frequency module are respectively connected with the data acquisition and processing module; the data acquisition and processing module is connected with the storage module; and the data acquisition and processing module and the three sets of analog receivers are respectively connected with the power module. The system disclosed by the invention can judge the motion of coronal projectiles, predict and anticipate the future space weather event.

The invention relates to an automatic sunshine avoiding method for a space to ground observation apparatus, belongs to the space weather monitoring technology field and solves problems of complexity and poor timeliness existing in a ground intervention sunshine avoiding method in the prior art. The method comprises steps that a sun vector of a track coordinate system is converted to a sun vector S2 of an apparatus coordinate system through a conversion matrix T1 from the track coordinate system to a satellite coordinate system and a calibration conversion matrix T2 from the satellite coordinate system to the apparatus coordinate system, an included angle alpha=asin(s2x) of the sun vector S2 and a YcZc surface of the apparatus coordinate system is calculated, an included angle of the YcZc surface and an apparatus optical axis is made to be beta, an included angle of sunlight and the apparatus optical axis on an XcZc surface is gamma=alpha-beta(south pole) or gamma=beta-alpha(north pole), according to sunshine avoiding determination conditions, whether sunshine avoiding is needed is determined, if yes, an apparatus is controlled for rotation in an opposite direction, if not, the apparatus rotates in an original direction. The sunshine avoiding method is advantaged in that system safety is effectively improved, automatic in-orbit measurement is carried out, and the method further has properties of strong timeliness, low cost and easy realization.

The invention provides a spacecraft space environment abnormity and influence forecast method and system, a storage medium, and a server. The method comprises the following steps: acquiring abnormitydata of a spacecraft in in-orbit running and the corresponding space environment data; constructing correlativity of the spacecraft abnormity and space environment data based on the abnormity data andthe space environment data; and forecasting the spacecraft abnormity based on the real-time collected space environment data and the correlativity of the spacecraft abnormity and the space environment data. Through the spacecraft space environment abnormity and influence forecast method and system and the storage medium provided by the invention, the correlativity of the spacecraft in-orbit abnormity and the space environment is acquired through various abnormity data of the in-orbit spacecraft, thereby realizing the spacecraft abnormity and influence early-warning based on the space environment, and laying foundation for the space weather guarantee service of the spacecraft in the in-orbit running period.

The invention belongs to the technical field of space weather prediction, and particularly relates to a solar 10.7 cm radio flow forecasting method based on a BP neural network, which comprises the following steps: acquiring observation value data of an F10.7 day and preprocessing the observation value data; converting the preprocessed data into supervised learning sample data capable of being trained by a BP neural network, and performing training set and test set division on the sample data; establishing a BP neural network according to the sample data; using the F10.7 training set to train a BP neural network; forecasting the trained BP neural network by using an input part of an F10.7 test set to obtain a forecast value, and performing error analysis on the forecast value and an output part of the test set to obtain forecast accuracy of the BP neural network; and inputting corresponding F10.7 historical data into the trained BP neural network to obtain prediction data. According to the method, the forecasting model of any period can be conveniently built, and the medium and short term forecasting precision of F10.7 can be effectively improved.

The invention belongs to the technical field of GNSS precision data processing, and particularly discloses a method for constructing a high-precision real-time ionosphere model by combining Kalman filtering. The method comprises the steps that firstly, a global navigation satellite system (GNSS) non-difference ambiguity integer solution is adopted to extract a high-precision real-time ionospheric oblique delay (STEC) value at the position of an ionospheric puncture point (IPP), and then the high-precision real-time ionospheric oblique delay (STEC) value at the position of the ionospheric puncture point (IPP) is extracted through a global navigation satellite system (GNSS) non-difference ambiguity integer solution to obtain the high-precision real-time ionospheric oblique delay (STEC) value of the ionospheric puncture point (IPP), and the high-precision real-time ionospheric oblique delay (STEC) value of the ionospheric puncture point (IPP). Using the semi-parameter model to establish an ionosphere forecasting model for a post-event ionosphere model constructed by the multi-source ionosphere observation data; extracting hardware delays of a satellite end and a receiver end based on a post ionosphere model constructed by a non-difference ambiguity integer solution; and constructing a real-time ionosphere model by adopting Kalman filtering and a spherical harmonic function. The invention provides a method for constructing a real-time ionosphere model by combining a non-difference ambiguity integer solution and Kalman filtering, so that the modeling precision of the real-time ionosphere model and the positioning precision of a GNSS single-frequency user are improved, and a basis is provided for monitoring and early warning of space weather.

The invention discloses a space environment risk index construction method and device and a storage medium, and the method comprises the steps: firstly determining space environment factors related tothe on-orbit abnormality of a spacecraft; secondly, screening influence intervals of the determined space environment factors; and finally, extracting risk characterization indexes of the space environment and thresholds thereof. The risk characterization index and the threshold thereof obtained through the scheme can more effectively and accurately characterize the space radiation environment risk suffered by the spacecraft, thereby ensuring that the risk characterization index and the threshold thereof can meet the requirements of spacecraft anomaly and space environment correlation construction analysis and spacecraft space weather risk prediction.

A system and method for evaluating space weather-based derivatives, such as futures, options, swaps, and the like, with payout depending on solar activity. The system includes space weather data, financial databases and a central processing trading server that is accessible via a plurality of internal and external workstations.

The invention discloses a deep learning-based SuperDARN radar flow map short-term forecasting method. The method comprises the following steps of 1, obtaining SuperDARN radar observation data and OMNI satellite observation data and carrying out preprocessing; 2, matching and aligning the OMNI satellite observation data and the SuperDARN radar observation data to form a complete data set; 3, performing feature selection by using a Pearson's correlation coefficient method and standardizing the feature selection; 4, inputting into a deep learning model built by a Tensorflow module in Python for training and parameter debugging to obtain a forecasting model; and 5, applying the forecasting model to test data. Based on the development of deep learning and big data correlation theory technology, a neural network correlation method is adopted, a SuperDARN radar is utilized to obtain massive data with rich information, the relationship between the data is expressed by a neural network with strong fitting ability, short-term forecasting of the high-latitude ionospheric convection image is realized, and the requirement of space weather forecast is met.

Methods and systems for preventing spacecraft damage include identifying a space weather event that corresponds to a spacecraft system failure. A spacecraft system is determined that causes the spacecraft system failure, triggered by the space weather event. A corrective action is performed on the determined spacecraft system to prevent spacecraft system failures from being triggered by future space weather events.