28 results about "Solar observation" patented technology

The invention provides a detector AB frame correction method and system for observing the sun based on a diffuse plate, and the method comprises the steps: obtaining first solar observation data, first dark level observation data, second solar observation data and second dark level observation data based on an on-wheel diffuse plate of a high-precision scaler HAOC; preprocessing the first solar observation data to obtain a first digital quantized value; based on a size relationship between the first digital quantized value and a segmentation fitting threshold value, performing segmentation fitting on the first inter-frame deviation value and the first digital quantized value corresponding to the B frame to obtain a plurality of undetermined fitting coefficient groups; preprocessing the second solar observation data to obtain a second digital quantized value; respectively calculating to obtain a second inter-frame deviation value corresponding to each undetermined fitting coefficient group; determining a target correction coefficient group according to the second inter-frame deviation value and the inter-frame deviation measured value; and executing a calibration process based on the target correction coefficient group. According to the invention, inter-frame consistency correction is realized.

The invention relates to a device for reflecting daylight in a fixed direction chosen by the user, despite the sun's movement. The device is distinguished by its ability to be placed in any position and requires no calibration by the user. It positions itself in the Earth's frame of reference using an accelerometer coupled to a solar sighting system, which allows it to determine its position in the Earth's frame of reference and orient the mirror to maintain a constant direction of the reflected beam. The beam is unaffected by any cast shadows, and the system's accuracy is increased compared to compass-based devices. (Shorthand figure: Figure 1)

The present invention relates to the field of image evaluation technology, and in particular to a method for evaluating the size information of a space target adaptive image dataset. The method comprises: S1: establishing a target coordinate system; S2: establishing a circumferential angle set that records the target's circumferential angle size information; S3: calculating the pixel resolution, solar illumination angle, and observation angle in the image based on the target coordinate system; wherein the solar observation angle includes the solar illumination azimuth angle and the solar illumination pitch angle, and the observation angle includes the observation azimuth angle and the observation pitch angle; S4: calculating the information degree of the image; S5: calculating the angle coverage set of the image based on the solar illumination angle and the observation angle; S6: comparing the information degree with the value information of the elements in the angle coverage set; if the information degree is greater than the value information, the information degree is used as the new value information, otherwise the original value information is kept unchanged; S7: repeating S3-S7 to process each image; and S8: evaluating the size of the dataset based on the value information.

The invention provides a two-dimensional tracking control method and system for a sun observation load of a stationary meteorological satellite. The two-dimensional tracking control method comprises the steps that a satellite service management unit receives the attitude and orbit data of a current information control computer, the measurement data of a sensor and the rotation angle data of a driving mechanism; the east-west solar angle and the south-north solar angle are calculated, and a driving mechanism is driven to complete initial sun capture in the east-west direction and the south-north direction of the optical axis of the EUV imager; when initial sun capture is completed, the sun enters the digital too sensitive field of view; and when the sun enters the field of view of the guide mirror, the data of the guide mirror in the measured data is used as input, and the south-north dimension driving mechanism and the solar array driving mechanism are fed back and controlled in real time, so that two-dimensional coarse alignment and tracking to the sun are realized. The problem of east-west, south-north two-dimensional tracking of the sun observation load is solved, a two-dimensional tracking control method and a control strategy are provided, the sun observation load can accurately point to the sun in real time, and the method can be applied to the research and development process of a stationary meteorological satellite.

The invention discloses a 4K solar extreme ultraviolet image prediction model construction method based on BandSwinUnet, and relates to the technical field of solar observation and space weather forecast, and the method comprises the following steps: S1, screening original data, and processing the data to obtain training data; s2, segmenting the calculation task and the weight in parallel by using an operator, and dividing the calculation task and the weight to a plurality of devices to execute the calculation task; s3, acquiring a device number, uniformly dividing training data to a plurality of devices, independently completing forward propagation and back propagation calculation by each device, and synchronizing gradients; s4, building a BandSwinUnet model on each device, and training the BandSwinUnet model based on the data in the step S1 and the parallel strategy set in the step S2; and S5, analyzing and optimizing the model in combination with errors. The problems that when an existing method is applied to 4K-resolution image prediction, the model generalization ability is insufficient, the adaptability to specific solar activity conditions is poor, and the calculation complexity is extremely high are solved.

The present invention relates to the field of solar observation, and in particular to a method for realizing solar capture, precise tracking and precise image stabilization. The method is aimed at a polar orbit satellite platform that is stabilized on three axes of the earth, uses solar vector data at any position of the satellite platform on the orbit, and then calculates the deviation of the optical axis of the solar imager relative to the sun according to the position coordinates of the solar imager, adjusts the solar pointing tracking mechanism of the solar imager, and realizes solar capture, precise tracking and precise image stabilization of the solar imager.

The application discloses a method for stabilizing a full-disk extreme ultraviolet time sequence image of the sun, and relates to the technical field of solar observation image processing. The method comprises the following steps: acquiring a full-disk extreme ultraviolet time sequence image of the sun, and extracting gradient information of each frame of image; determining a solar edge region of each frame of image based on the gradient information; calculating a regional gradient difference value of a frame to be stabilized and a reference frame in the solar edge region, and minimizing the regional gradient difference value to obtain a first offset; extracting a matching point pair between the two frames; adjusting the matching point pair based on the first offset, determining an offset change amount based on a residual of the matching point pair and a matching point pair weight, and obtaining a second offset; and compensating the frame to be stabilized by using the second offset to obtain a stabilized frame. The application significantly suppresses the problems of mismatching and error accumulation caused by the rapid evolution of the solar active region by combining gradient difference minimization and anti-difference selection weight iteration optimization of the matching point pair, and improves the robustness and accuracy of the stabilization processing.

The invention provides an on-orbit correction method and system for deformation errors of a solar observation system of a geostationary orbit satellite. The method comprises the following steps: analyzing main deformation error terms of the solar observation system; performing light path mathematical modeling of the solar observation system according to the main deformation error term to obtain a light path model of the solar observation system; simplifying the light path model of the solar observation system; according to the simplified light path model of the solar observation system, resolving a corner correction value of a two-dimensional adjusting mechanism of the solar observation system; and carrying out deformation error on-orbit correction on the solar observation system according to a resolving result. The method can be used for light path correction of the solar observation system and ensures that the load optical axis is aligned with the sun in real time.

The invention provides a two-dimensional pointing method and system for sun observation of a stationary meteorological satellite. The method comprises the following steps: 1, designing the composition of the two-dimensional pointing system for sun observation of the stationary meteorological satellite; 2, designing a solar observation two-dimensional pointing scheme of the stationary meteorological satellite; 3, calculating a sun pointing angle in the east-west direction; 4, calculating a sun pointing angle in the north-south direction; 5, designing a sun search strategy; 6, designing a closed-loop driving control rule in the east-west direction; and 7, designing a closed-loop driving control rule in the north-south direction. According to the invention, an on-satellite computer is used as a controller, east-west, south-north sun pointing angles calculated by the on-satellite computer are used as control input, and a solar array driving mechanism and a south-north dimension driving mechanism are used as execution mechanisms, so that an on-satellite autonomous feedback closed-loop control system is formed, and a sun observation load can point to the sun accurately in real time; the method can be applied to the research and development process of a new generation of stationary meteorological satellites in China.

The present invention relates to the technical field of image evaluation, and in particular to a method for evaluating the size information of an adaptive image of a space target. The method comprises: establishing a target coordinate system; wherein the origin of the target coordinate system is the center of the target, and the target coordinate system includes a spatial rectangular coordinate system and a polar coordinate system with the same origin; calculating the solar illumination angle and observation angle in an image based on the target coordinate system; wherein the solar observation angle includes the solar illumination azimuth angle and the solar illumination pitch angle, and the observation angle includes the observation azimuth angle and the observation pitch angle; calculating the angular coverage of the image based on the solar illumination angle and the observation angle; calculating the pixel area of ​​the minimum bounding rectangle of the target in the image; calculating the number of pixels covered by the point spread function of the image; and evaluating the size information of the image based on the angular coverage, the pixel area, and the number of pixels.

The application provides a sun image-based star sensor installation correction method and system, which comprises the following steps: making a satellite continuously collect sun full-disk images in a steady-state sun-seeking mode; adopting a fitting method to perform edge detection and sun center extraction, and performing multi-frame averaging on the centroid coordinates; determining a satellite correction angle according to the sun full-disk images and the relationship between a sun space telescope phase plane coordinate system and a satellite body coordinate system, so as to ensure that the sun images are in the center of a field of view; and calculating a star sensor installation matrix correction value according to the satellite correction angle, so as to realize sun image-based star sensor installation correction. The application can meet the needs of future sun exploration missions, provides a good technical means for high-precision sun observation of a space science satellite, and has engineering application value.

The invention provides a solar power generation power real-time regulation and control method based on cloud cover dynamic monitoring, and belongs to the field of solar power generation power regulation and control, and the method comprises the following steps: observing the position of the sun by using a sun observation and positioning device, and observing the cloud cover dynamic state of a corresponding region by using a microwave radar and a camera according to the position of the sun; an artificial intelligence learning model is set to predict the illumination intensity irradiating the solar panel, the direction of the solar panel is adjusted according to the position of the sun, and meanwhile corresponding stable power output is adjusted and controlled according to the illumination intensity and the power output requirement. By accurately positioning the position of the sun in real time and then detecting the cloud layer of the detection area, the cloud layer information of the sun projected on the solar panel area can be accurately determined, and then the cloud layer information is input into the prediction model for machine learning and prediction, so that the sunlight early intensity obtained by the solar panel can be obtained. And then, according to the power generation parameters of the solar panel, the voltage and current of power generation are calculated, and output is controlled according to the actually required power, so that the real-time power of solar energy is regulated and controlled.

The present disclosure relates to an observation optical mirror. In one embodiment, the present disclosure relates to a viewing lens with an integrated display system. In one embodiment, the present disclosure relates to a solar viewing lens with an integrated display system.

The utility model discloses a sun seeker and a sun observation mirror, the sun seeker comprises a hollow cylinder, a light guide plate fixedly installed at one end of the cylinder and a projection screen fixedly installed at the other end of the cylinder, the light guide plate is provided with a light guide port, a hole seat is installed inside the cylinder, the hole seat is provided with a shaft hole, and the projection screen is provided with a light guide hole. An adjusting assembly is arranged between the cylinder body and the hole seat and used for adjusting the position of the hole seat in the cylinder body. According to the sun seeker and the sun observation mirror, the relative position of the hole seat relative to the center of the projection screen can be adjusted through the adjusting assembly, and when the adjusting assembly is adjusted to enable the shaft hole of the hole seat to be located in the center of the projection screen, the optical axis of the sun seeker is parallel to the optical axis of the sun observation mirror. Compared with the prior art, the solar tracking device has the advantages that the use is more flexible, the requirements on the production precision and the assembly precision of equipment are lower, and the production cost is further reduced.

The invention discloses a ground-based solar observation station evaluation method and system based on satellite remote sensing, and the method comprises the steps: calculating the offset of a second pixel coordinate relative to a first pixel coordinate according to the first pixel coordinate, and the azimuth angle and elevation angle of the sun observed at a target solar observation station at a t observation moment; determining a second pixel coordinate according to the first pixel coordinate and the offset; according to cloud detection information of the meteorological satellite remote sensing cloud product, determining an observable state function of the second pixel coordinate at the t observation moment, and obtaining observable duration of the target solar observation station in a historical observation time period; and calculating an observation coefficient, and analyzing the observation effect of the target solar observation station according to the observable time length and the observation coefficient. According to the method, station solar observation parameters such as observable duration and station observation coefficients of any foundation station in any time range can be measured, and improvement of observation efficiency and observation quality of each station is promoted through quantitative, objective and convenient evaluation indexes.

The invention provides a cross-server downloading management system and a cross-server downloading management method for fitness files for solar observation, and belongs to the field of downloading management of solar observation files. Comprising a website server which is used for recording to-be-processed file downloading requests, including batch downloading requests and single file downloading requests, regularly checking the processing conditions of the file downloading requests, and providing a file downloading service for a user; the file storage server is used for storing a fit file for sun observation; and the intermediate server is used for regularly checking the to-be-processed file downloading request and copying the file from the file storage server to the website server. According to the invention, the problem of file downloading when the network of the website server and the file storage server is isolated is solved, and file downloading can still be provided under the condition that the website server and the file server are not communicated; and a breakpoint resume solution is provided for the accident of file transmission interruption possibly existing in the whole process.

This invention discloses a method and system for optimizing the spectral dispersion coefficient of a greenhouse gas spectrometer before launch. The method includes: acquiring the instrument's linear function, initial dispersion coefficient, and laboratory direct solar observation spectrum; simulating the atmospheric absorption spectrum based on a radiative transfer model and performing convolution processing using the instrument's linear function; screening for positionally robust reference absorption lines through environmental parameter sensitivity analysis; fitting the observed spectrum and simulated spectrum to find peaks, extracting the center wavelength, and calculating the wavelength shift; establishing a polynomial fitting relationship for the wavelength shift to obtain the wavelength shift fitting coefficient; performing a difference calculation between the initial dispersion coefficient and the wavelength shift fitting coefficient, keeping higher-order terms unchanged, and outputting the optimized dispersion coefficient. This invention can effectively improve the wavelength calibration accuracy of the spectrometer before launch.

The invention discloses a processing method for irradiance data of a satellite-borne ultraviolet hyper-spectral imager. The method comprises the following steps: firstly, preprocessing an annual sun observation data set, performing sun-earth observation distance correction and BRDF correction, and normalizing to a unified irradiation condition; carrying out the averaging of the normalized solar observation data set, and eliminating the angle-sensitive microstructure of the calibration plate; filtering the laboratory irradiance calibration coefficient, decomposing the laboratory irradiance calibration coefficient into a product of a radiance coefficient and a quintic polynomial, and eliminating a high-frequency calibration coefficient error; and finally, calculating the irradiance data of the instrument by using the annual average sun observation value and the filtering irradiance calibration coefficient. By using the irradiance data processing method provided by the invention, the irradiance data precision can be improved, the later gas product strip error caused by inaccurate irradiance is effectively reduced, and the remote sensing detection of high-quality atmospheric trace gas components is realized.

The present invention discloses a method and system for reconstructing forest BRDF characteristics of multi - angle optical satellite images. The method includes: performing geometric correction, radiometric calibration, and atmospheric correction on satellite images at multiple observation angles of the same area to obtain satellite reflectance images at multiple observation angles; calculating the solar - observation geometric data of slope pixels of satellite reflectance images at each observation angle; constructing a scattering kernel function library; constructing a vegetation morphological structure parameter library; using a semi - empirical kernel - driven bidirectional reflectance model to screen out the optimal combination of scattering kernel functions and the optimal vegetation morphological structure parameters from the scattering kernel function library and the vegetation morphological structure parameter library; and reconstructing the forest BRDF characteristics of satellite images at multiple observation angles based on the optimal combination of scattering kernel functions and the optimal vegetation morphological structure parameters. The present invention can solve the problem that the BRDF model of existing medium - and low - resolution satellite images cannot accurately reconstruct the forest BRDF characteristics of high - spatial - resolution multi - angle optical satellite images.

The present application relates to the field of astronomical, space science and solar observation coronagraph instrument, especially relates to a kind of external mask type image stabilization coronagraph, it includes in turn: external mask, heat rejection mirror, objective lens group, field stop, field lens, Lyot diaphragm, image converter group and linear polarizer, it further includes: image stabilization device, the image stabilization device includes: image stabilization lens group, guide mirror and image stabilization lens adjusting mechanism, wherein, the image stabilization lens group is located between objective lens group and field stop;The guide mirror is set to the incident light path direction parallel to external mask outside external mask, for collecting solar azimuth and solar elevation angle optical signal, obtains solar pointing deviation signal;The image stabilization lens adjusting mechanism is based on solar pointing deviation signal, adjusts the pose of image stabilization lens group, to compensate solar pointing deviation.The present application combines high-precision imaging and image stabilization technology organically, significantly improves the observation performance of coronagraph, provides reliable technical support for the research of solar activity and coronal structure.

This invention discloses a method for measuring the spatial distribution of the Fabry-Perot filter plate spacing based on solar observation, relating to the field of optical technology. The method includes the following steps: constructing an observation optical path so that sunlight, after passing through a lens group to form a telecentric beam, is perpendicularly incident on a Fabry-Perot filter composed of two parallel plates. The beam is then converged to a detector via an imaging mirror. The detector is used to acquire a two-dimensional spatial image of the sun, and the detector pixels correspond one-to-one with the plate areas of the filter. This invention directly utilizes the solar observation optical path during the measurement process, eliminating the need for additional dedicated measurement optical paths and equipment, significantly reducing system complexity, minimizing the risk of errors during equipment installation and debugging, and effectively controlling development costs. The spatial distribution of the plate spacing can be measured synchronously during normal solar observation without interrupting the observation process, enabling real-time monitoring of the Fabry-Perot filter's status and ensuring the continuity and integrity of the observation data.

The invention discloses a solar activity multi-class event detection and classification method. The invention provides a method for automatically detecting and classifying multiple types of solar activity events by combining solar multi-modal image data and a deep learning method and mining spatial features of the multiple types of solar activity events. The method comprises the following steps: collecting a solar multi-modal image and preprocessing the solar multi-modal image; detecting a plurality of types of solar activity events by using a plurality of traditional solar image detection algorithms and generating labels; constructing a data set based on the multi-modal sun image and the label; establishing a solar activity multi-class event detection and classification model based on a deep learning mode, and carrying out learning training around a data set; and detecting and classifying the activity events involved in the input sun image, and outputting a detection and classification result. According to the invention, the sun activity events involved in the sun image can be effectively detected and classified, an end-to-end processing mode greatly reduces the degree of manual intervention, and an automatic operation mode improves the real-time processing capability for coping with massive sun observation data.

This invention belongs to the field of optical system technology and discloses a rapid solar observation system and method. The invention utilizes a telescope system to collect solar light across its entire field of view; it uses a Fourier transform infrared spectrometer to acquire the solar mid- and far-infrared spectrum; it uses an imaging mirror to converge and image the coherent light emitted after the Fourier transform infrared spectrometer, obtaining primary area array imaging information at the primary image plane. This primary area array imaging information includes data in three dimensions: spatial height, spatial width, and spectral wavelength. A segmentation unit is used to segment the image spots on the primary image plane along the spatial width dimension, resulting in segmented image spots arranged sequentially in the spatial height dimension. At the secondary image plane, a linear array detector is used to acquire secondary linear array imaging information, which includes data in two dimensions: spatial height and spectral wavelength. This invention can meet the dynamic observation needs of rapidly changing solar magnetic fields.

This invention relates to a method, system, and computer-readable medium for establishing a satellite-to-ground link for a solar observation satellite. The method includes: establishing a solar pointing coordinate system OXYZ based on the solar vector originating from the satellite's center of mass and the ecliptic plane normal vector originating from the satellite's center of mass, where O represents the satellite's center of mass, the X-axis points to the solar vector, the Y-axis points to the direction of the vector obtained by the cross product of the ecliptic plane normal vector and the solar vector, and the Z-axis forms an orthogonal coordinate system with the X-axis and Y-axis; calculating a first angle and a second angle between the center lines of the data transmission antenna beams on the solar observation satellite based on the solar pointing coordinate system OXYZ; and controlling the attitude of the solar observation satellite to keep the first angle within a first preset range and the second angle within a second preset range, thereby ensuring that the satellite-to-ground link of the solar observation satellite is effective throughout its orbital period, improving the reliability of the solar observation satellite's operation.

The present invention discloses an on-orbit automatic operation and control method for a solar observation space remote sensing instrument, which relates to the technical field of solar observation of remote sensing instruments, and solves the problem that the existing method needs to be carried out by injecting commands on the ground, and when communication problems occur, it affects the calibration of the instrument. The method is as follows: count the number of orbits M, and judge whether there is data injection. If not, take the integer part of M divided by i. If the remainder is 1, the instrument measures the dark current of multiple bands without solar tracking. If the data injection is to switch to the autonomous operation stage, M is cleared and re-counted, and m = [(M - 1) / i] + 1 is calculated. Take the remainder of m divided by 84. If the remainder is 0, perform the quarterly calibration process. If not, take the remainder divided by 28. If it is 0, perform the monthly calibration process. If not, take the remainder divided by 7. If it is 0, perform the weekly calibration process. If not, take the remainder of M divided by i. If the remainder is 1, perform the daily measurement process. If not, judge whether there is data injection.

The invention discloses an image stabilization method for a full-sun extreme ultraviolet time sequence image, and relates to the technical field of sun observation image processing, and the method comprises the steps: obtaining the full-sun extreme ultraviolet time sequence image, and extracting the gradient information of each frame of image; determining a sun edge area of each frame of image based on the gradient information; calculating a regional gradient difference value of the to-be-stabilized image frame and the reference frame in the sun edge region, and minimizing the regional gradient difference value to obtain a first offset; extracting matching point pairs between the two frames; adjusting the matching point pair based on the first offset, and determining the offset variation based on the residual error of the matching point pair and the weight of the matching point pair to obtain a second offset; and compensating the to-be-stabilized image frame through the second offset to obtain the stabilized image frame. Through combination of gradient difference minimization and anti-error selection weight iterative optimization of the matching point pair, the problems of mismatching and error accumulation caused by rapid evolution of the solar active region are remarkably suppressed, and the robustness and accuracy of image stabilization processing are improved.

The invention discloses a method for measuring space distribution of flat plate spacing of a Fabry-Perot optical filter based on sun observation, which relates to the technical field of optics and comprises the following steps of: constructing an observation light path, enabling sunlight to form a telecentric beam through a lens group and then vertically enter the Fabry-Perot optical filter formed by two parallel flat plates, and measuring the space distribution of the flat plate spacing of the Fabry-Perot optical filter; the detector is used for collecting two-dimensional space images of the sun, and pixels of the detector are in one-to-one correspondence with flat plate areas of the light filter; in the measurement process, the solar observation light path is directly utilized, a special measurement light path and equipment do not need to be additionally built, the complexity of the system is greatly reduced, the error risk of equipment installation and debugging is reduced, and the development cost is effectively controlled; the measurement of the space distribution of the flat plate spacing can be synchronously completed in the normal solar observation process, the observation process does not need to be interrupted, the real-time monitoring of the state of the Fabry-Perot optical filter is realized, and the continuity and integrity of observation data are ensured.

The application discloses a kind of solar flare prediction methods based on multi-feature fusion, comprising the following steps: S1: obtaining solar observation data within a certain time, and extracting prediction factor and flare burst data from it, different prediction factors are marked with a, b, c……, different flare burst data are marked with alpha, beta, gamma……;S2: different prediction factors and flare burst data are used to construct data set, and each prediction factor needs to be correspondingly constructed with each flare burst data, different data sets are marked with (a, alpha), (a, beta), (a, gamma)……, then each data set is divided into training set and test set.The application predicts the occurrence of solar flare by multiple prediction factors and calculation model, and summarizes and corrects the result set obtained by the calculation model through the result model, so as to obtain a result with higher confidence, effectively improving the accuracy of the model in predicting solar flare.