58 results about "Solar Activities" patented technology

The invention relates to an optical racemization and slit scanning integrated device based on a solar telescope grating spectrometer. The optical racemization and slit scanning integrated device comprises a solar telescope (1), a K1 plane mirror (2), a K2 plane mirror (3), a K3 plane mirror (4), an electrical control translation stage (5), an electrical control rotating platform (6), a grating spectrometer slit (7), a grating spectrometer (8), a photoelectric detector (9), a controller (10) and a data processing and control computer (11). At present, most of solar telescopes use horizontal type rack structures, image field rotation problems are easily caused in the object tracking process by means of the structures, so that on one hand, a special image field racemization device is required to be equipped, and on the other hand, a special slit scanning device is required to be equipped to obtain three-dimensional information of a solar activity region. The optical racemization and slit scanning integrated device is simple in structure, small in occupied space, few in optical mirror planes and high in innovativeness and practicality.

The invention discloses a method for forecasting the occurrence probability of ionospheric scintillation in low-latitude areas of China. The method includes: an ionospheric irregularity intensity CkL inversion method based on an ionospheric scintillation index S4, a probability density distribution model of ionospheric irregularity intensity CkL of low-latitude areas of China which changes with solar activity index Rz, geomagnetic activity index Kp, geographical position, season and time, and an ionospheric scintillation occurrence probability calculation method. The method provided by the invention can calculate the occurrence probability of an ionospheric scintillation event under conditions of designated place, time, solar activity index Rz, geomagnetic activity index Kp, working frequency band, ionospheric scintillation index S4 threshold value and the like according to user demands.

The invention relates to a satellite magnetic field data seismic abnormality detection method based on non-negative matrix decomposition. The method comprises a step of removing invalid data accordingto a flag bit and subtracting CHAOS-6 magnetic field model data, and solving a first-order difference of a result to obtain differential data, a step of performing short-time Fourier transform on thedifferential data to construct a non-negative time-frequency amplitude matrix corresponding to magnetic field data, a step of decomposing the non-negative time-frequency amplitude matrix by using a non-negative matrix decomposition method and separating a local influence component generated by an earthquake from a global influence component generated by a sun activity and a geomagnetic activity,a step of selecting the local influence component generated by the earthquake according to an energy ratio and carrying out abnormal track judgment on the component through an over-limit rate method,and a step of accumulating the number of abnormal orbits every day and detecting earthquake abnormality according to the degree of deviation from a background fitting straight line. According to the invention, all data obtained by measurement can be reserved and utilized to research the earthquake, and at the same time, components more related to the earthquake activity can be obtained to effectively perform earthquake abnormality detection.

The invention relates to a total electron content prediction method for a global ionosphere based on a deep learning framework. The method comprises the steps: performing grid partitioning on a globaltotal electron content according to different response characteristics during geomagnetic disturbance, and on the basis, constructing a deep learning prediction model through an LSTM framework; setting the training sample length and the training frequency according to the periodic change characteristics of the global total electron content, and acquiring a pre-training model; analyzing the lengthof the training sample and the number of training times in combination with different sun activity and geomagnetic activity environments to obtain an optimal training model; finally, predicting the total electron content of the future global ionized layer by utilizing the training model, so a prediction error is within an expected range. The method can effectively predict the total electron content of the ionized layer in different regions of the world, so as to predict the total electron content of the global ionosphere, and provide better technical support for related applications such as space weather prediction and satellite navigation ionized layer error correction.

The invention relates to a solar occultation measurement method of inversion near space atmosphere density based on X-rays. The method is characterized by simultaneously measuring unattenuated solar X-ray intensity and attenuated X-ray intensity in a solar occultation path through the X-rays so as to fit the atmosphere density in a height range of 50-200km. The method has the advantages of large detection height range, low technical complexity, easy implementation and high measurement accuracy; meanwhile, the method is capable of monitoring the response of the near space atmosphere density change to the solar activity in real time; the establishment of a three-dimensional tomographic dynamic model of the near space atmosphere density is facilitated; the requirements on atmosphere parameters of development, verification and control of a near space aircraft can be met.

The invention discloses a solar activity target detection method based on a square grid structure, and belongs to the technical field of astronomy and image processing. The solar activity target detection method comprises the following steps that image normalization is performed; the gray scale of an original image is reduced; the square grid structure is defined and the image is divided; a rectangular coordinate system for storing the grid images is established, and dimension reduction and storage are performed on grid units; an initial threshold is estimated by utilizing a histogram threshold method; the minimum external rectangle is used as a tool to correct the threshold so that gradient thresholds are obtained; a target area is identified and a background area is hidden; and segmentation and saving of the target area are performed. Compared with the methods in the prior art, image segmentation of multiple types of solar activities is realized, and a feasible method for solving the problem of storing massive astronomical data is also provided.

The invention belongs to the solar physics of the field of astronomy in China and provides an automatic extraction method for the sun outline. The method comprises the following steps: aiming at the full-disk monochromatic image of the Huairou Solar Observing Station of the National Astronomical Observatories of China, obtaining the gray scale information of the solar limb by using morphological close operation and erosion operation; then, extracting a limb coordinate by using a self-adaptive threshold method; finally, fitting the limb coordinate by combining a least square fitting method, and thus obtaining a connected solar limb binary image. Compared with other international algorithms, the method can process lower-quality solar observation data with instrument noise and fills the blank of domestic related fields. The method has important significance and practical value on determining the solar disk radius and the earth-sun distance, calculating the position of solar activity in the solar disk and researching the evolution law of the sun outline.

The invention relates to a solar activity recognition method based on a scale transformation model, and belongs to the fields of the astronomical technology and the image processing technology. The method comprises the following steps: 1, information collection and coordinate system building: detecting the center and radius of the sun through Hough transformation, obtaining an image collection time of an FITS data set, collecting the position information of solar activities at a corresponding moment from a solar physics event knowledge base, building a rectangular coordinate system, and carrying out the scaling transformation of the position coordinates of the solar activities; 2, solar activity region segmentation and recognition: defining a grid structure, dividing an image, segmenting an effective region of the solar activities through employing a gradient threshold method, and marking the solar activity region through employing a minimum enclosing rectangle and an eight-direction freeman chain code. The method achieves the timely tracking and positioning of various types of solar activities, accurately recognizes the effective region of the solar activities, and also provides a feasible method for simplifying a data set of a CBIR system.

Provided is an apparatus and method for analyzing an effect on a wireless communication system that may analyze an effect of a solar activity on a wireless communication system based on strength of solar cosmic radio waves. An apparatus for analyzing an effect on a wireless communication system may include a solar cosmic radio wave strength collecting unit to collect strength of solar cosmic radio waves according to a solar activity; and an interference determining unit to determine a level of interference of the solar activity against the wireless communication system, based on the strength of solar cosmic radio waves.

The invention provides a solar large-view-field high-resolution imaging telescope based on a deformable secondary mirror. The telescope comprises a primary mirror, a primary mirror temperature controlsystem, a thermal field diaphragm, a deformation secondary mirror, a six-axis parallel mechanism, a relay reflector group, a large-field wavefront detector, a large-field imaging detector and the like, and the deformation secondary mirror and the six-axis parallel mechanism are combined to correct surface atmospheric turbulence wavefront distortion in real time. The size of a typical solar activity area is 1-2 angular minutes, a traditional self-adaptive optical telescope is limited by an isoplanatic area, a high-resolution imaging view field is only about 10 angular seconds, and the large-view-field high-resolution observation requirement of the solar activity area cannot be met. The objective of the invention is to realize high-resolution imaging with a larger field of view. According to the invention, the deformation secondary mirror and the six-axis parallel mechanism in the telescope primary optical system are used for correcting the atmospheric turbulence of the earth surface layer, high-resolution imaging of a field of view of more than 2 angular minutes can be realized on a large-aperture (2m-8m) solar telescope, and the overall real-time high-resolution imaging of a solaractivity area is satisfied.

The invention discloses a regional ionized layer TEC forecasting method based on LSTM and GCN, and relates to the technical field of space environment forecasting. The forecasting method comprises the following steps: firstly, obtaining an ionized layer TEC data set, a solar activity index F10.7 and a geomagnetic index Dst, performing data cleaning, filling and other processing on the data sets, then dividing the data sets into a training set and a test set, and performing zero-mean standardization processing on the training set and the test set; determining a topological structure and network parameters of a regional ionosphere TEC forecasting model, and training a regional ionosphere TEC short-term forecasting model based on an LSTM-GCN network; and finally, inputting the test set data to run the forecasting model, carrying out anti-standardization on an output sequence to restore data, and carrying out error analysis and model performance evaluation. According to the method, the network advantages of the LSTM and the GCN are integrated, the spatial-temporal characteristics of the ionized layer TEC sequence are effectively extracted, and the forecasting precision of the regional ionized layer TEC can be improved.

The invention relates to a full-view-field column radiation ratio determining method of a spaceborne optical remote sensor. The method comprises steps that 1) simulated input data including observation time, observation point coordinates, a geomagnetic activity parameter, a solar activity index, an observation area parameter and an atomic physics parameter is modeled by obtaining all essential factors; 2) a universal radiation transmission model is established and simulated; and 3) data of the radiation transmission model is obtained and processed, and the full-view-field column radiation rateof the optical remote sensor is calculated. According to the observation time, observation point coordinates, observation direction angle, geomagnetic activity parameter, solar activity index and thelike, a spherical geometric method is used, factors including atmosphere density change and solar elevating angle change of a target area are considered in an integrated manner, the column radiationrates corresponding to different observation directions of the full-view-field of the optical remote sensor are calculated accurately, and basis is provided for analysis on the radiation characteristic of the observation area and researches on image simulation and image reversion algorithms.

The invention discloses a refraction-projection type solar activity display device and relates to the field of astronomical observation equipment. A projection display (1) is arranged at the front end of a projection camera obscura (2), the rear end of the projection camera obscura (2) is connected with an astronomical telescope (4), a target aiming lens (3) is arranged at the front end of the astronomical telescope (4), the projection camera obscura (2) is arranged on a tripod (6), and a longitude and latitude adjuster (5) is arranged under the projection display (1). The refraction-projection type solar activity display device is applicable to astronomical observation clubs of primary and secondary schools as well as astronomical observatories of universities and colleges, rapid in looking for targets in astronomical observation, accurate in focusing, convenient to record, easy to take photos, capable of being recorded by multiple people with one-step imaging, high in observation efficiency and ideal in effect of observing and recording sun spots.

The invention relates to a silver river cosmic ray model selection method and system, and the method comprises the steps: receiving a silver river cosmic ray model selection instruction, and obtaining analysis data corresponding to each analysis angle from the silver river cosmic ray model selection instruction based on a preset analysis angle. The intensity of the silver river cosmic rays is modulated by a geomagnetic field and solar activity, the analysis range of a silver river cosmic ray model cannot directly include the particle energy range and atomic number range of the silver river cosmic rays, and the silver river cosmic rays can generate different environmental effects on spacecraft materials, electronic components, photoelectric devices and the like. Therefore, various analysis angles are provided in the application, and at least comprise the spacecraft orbit height, the current solar activity period, the particle energy range needing to be analyzed, the atomic number range and the environmental effect analysis. According to multiple analysis angles in the application, the target silver river cosmic ray model conforming to the silver river cosmic ray model selection instruction can be better selected from multiple alternative silver river cosmic ray models.

The invention discloses a geomagnetic Ap index mid-term forecasting method. The method comprises the following steps: forecasting an Ap index formed in a related process; comprehensively forecasting the overlapping process; and generating an ultraviolet index according to a forecasting result. According to the invention, geomagnetic Ap index evolution trends under different solar activity levels are analyzed, the occurrence reason of geomagnetic disturbance is combined to establish an Ap index comprehensive forecasting method; according to the method, the Ap index of the 27th day in the futurecan be forecasted day by day by inputting the recent solar activity and the Ap index time sequence in the form of a calculation formula, and the Ap index of the 4th day to the 27th day in the futurecan be forecasted as the forecasting of the Ap index of the 1st day to the 3rd day in the future belongs to the business category of short-term forecasting.

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 method for forecasting solar flare outbreak based on a 3D convolutional neural network. The method comprises the following steps: 1, constructing an observation data cube byadopting continuous observation data; 2, training the 3D convolutional neural network model by adopting the training set; and 3, inputting the test set into the trained 3D convolutional neural networkmodel for prediction. According to the method, a series of solar activity area images which are continuous in time are positioned, tracked, intercepted and corrected, so that the problem of image distortion subsequently input into a model can be avoided, and a result is more realistic; and the processed data is matched with a specific 3D convolutional neural network of the method, and time sequence information contained in solar continuous observation data can be fully extracted, so that evolution process information of an activity area is captured, and the accuracy of solar flare forecastingof the model is effectively improved; and meanwhile, due to the fact that continuous sun observation data is used, the complexity of observation data collection and arrangement work is effectively reduced.

The invention relates to the research technology of solar activities, in particular to a correlation evaluation method for forecasting factors and solar flare, which comprises the following specific steps: step 1, extracting all the forecasting factors and data corresponding to whether a flare event occurs or not, and defining a correlation index of each forecasting factor; step 2, drawing a correlation graph of any one forecast factor and data whether flare occurs or not; step 3, performing statistics on the flare occurrence probability of the forecasting factor in each data segment to obtain a correlation index of the forecasting factor; step 4, giving a correlation conclusion between the forecasting factor and whether a flare event occurs or not according to the numerical value of thecorrelation index; and step 5, executing the step 2 to the step 4 on other forecasting factors to obtain a correlation conclusion of each forecasting factor. According to the method, a multi-data-segment evaluation method is adopted, and a correlation conclusion can be obtained completely and accurately.