791 results about "Elevation angle" patented technology

The invention provides a method for reducing the multipath effect of a take-off and landing guide radar based on adaptive off-axis tracking, and the method comprises the steps: enabling the take-off and landing guide radar to transmit a signal, and transmitting the signal to a radar direction after receiving the signal; the radar receives the direct signal and the multi-path signal at the same time, and separates and establishes a spatial-temporal characteristic database of the multi-path signal; when the influence of the signal on the angle error exceeds a dynamic threshold value, starting an off-axis tracking mode; dynamically calculating the optimal off-axis angle, locking the elevation angle of the antenna, and performing closed-loop tracking of the azimuth; carrying out conjoint analysis, and identifying and eliminating false targets in real time; intelligent suppression is carried out on angle random errors; a real-time multi-path propagation model is constructed, and phase and amplitude compensation is carried out on a received signal. The method has excellent real-time performance and engineering realizability, and can meet strict requirements of aircraft precision approach guidance. The method has good expandability and adaptability, and provides reliable technical support for guaranteeing safe take-off and landing of the aircraft in severe weather and complex environments.

The invention relates to the technical field of solar irradiance prediction, and discloses a solar irradiance prediction method and system based on data fusion, and the method comprises the steps: obtaining a cloud layer gray image, a wind speed vector, a terrain elevation, a slope inclination angle, a solar azimuth angle and an elevation angle, calculating the movement speed and direction of a cloud layer based on the cloud layer image and the wind speed vector, and obtaining a prediction result. Calculating a shielding path in combination with a terrain elevation and a sun position; generating a terrain shielding influence coefficient matrix; fusing a gradient and shielding data to generate a dynamic effect graph; performing cloud-ground shielding analysis based on the dynamic effect graph and a cloud trajectory to obtain cloud-ground coupling influence distribution; using a random forest algorithm to fuse the coupling distribution and the shielding coefficient to calculate an initial irradiance probability, and forming a preliminary prediction result; and inputting the time sequence prediction model, the cloud trajectory and the shielding coefficient into a trained time sequence prediction network, and outputting an optimization result. According to the method, prediction requirements under complex terrains and rapid weather changes can be met.

A method for target position estimation based on a distributed reconfigurable intelligent surface (RIS) transmissive array is provide, including: configuring distributed RISs as an RIS transmissive array, wherein the distributed RISs include two RIS transmissive array surfaces, a target source and receiving radio frequency (RF) chains are respectively disposed on two sides of the RIS transmissive array, the receiving RF chains are connected to receiving antennas, and the target source emits a pilot signal into space; transmitting the pilot signal through the RIS transmissive array to the receiving RF chains to obtain a received signal; determining an azimuth angle β and an elevation angle α of the target source relative to each of the two RIS transmissive array surfaces by processing the received signal; and constructing two rays respectively passing through centers of the two RIS transmissive array surfaces based on the azimuth angles β and the elevation angles α of the target source relative to the two RIS transmissive array surfaces, determining a median of a shortest distance between the two rays, and determining a position of the median as a position of the target source.

The invention discloses an in-orbit pointing deviation correction method for a two-dimensional mechanical antenna oriented to a panel satellite spot beam. The method comprises the following steps: acquiring an azimuth angle, a pitch angle and telemetry information of an antenna pointing to a ground station in real time in an in-orbit manner; reversely calculating a gain difference value between the actual signal and the theoretical signal; judging whether the gain difference meets the pointing precision requirement or not, and if not, inversely calculating the deviation angle of the actual pointing vector and the theoretical pointing vector and the actual pointing vector; a Gauss-Newton method is adopted to solve an optimal theoretical pointing vector; resolving an installation matrix pointed by the matching theory and adjusting an antenna installation matrix; and repeating the steps to form a closed loop until the gain difference meets the precision requirement. According to the method, three-dimensional installation matrix correction is adopted to replace traditional zero correction, closed-loop feedback and nonlinear optimization are combined, multi-source error high-precision compensation is achieved, the engineering feasibility is high, the in-orbit multi-satellite batch correction requirement of the panel satellite is met, and the communication system reliability and the data transmission rate are remarkably improved.

Disclosed in the present invention are a dual electro-optic frequency comb-based laser tracking interferometric spatial coordinate measurement system and method. Multiple target mirrors are identified by means of a vision module, to guide a rotating mirror to direct laser light toward each target mirror individually. A laser tracking interferometric ranging module obtains a tracking error of the laser beam deviating from the center of the target mirror to be used for closed-loop tracking control. A light source module outputs single-frequency laser light traceable to a gas absorption peak. By controlling a light source modulation module to enable or disable an electro-optic phase modulation drive signal, dual electro-optic frequency combs or dual-frequency continuous-wave laser light is outputted. In a tracking state, the laser tracking interferometric ranging module respectively uses the two light sources to measure the absolute distance and the relative displacement of a target mirror, and the real-time distance between the target mirror and an original point is computed by means of distance fusion; the elevation angle and the azimuth angle of the target mirror are obtained in real time by means of an azimuth angle and elevation angle measurement module; tracking control and coordinate computation are carried out by means of a tracking control and signal processing module and a computer, and finally three-dimensional spatial coordinates of all the target mirrors are measured.

The invention relates to a weather radar beam shielding rate calculation method based on temporal-spatial resolution improvement, belongs to the field of radio, realizes adaptive precise temporal-spatial matching of meteorological unmanned aerial vehicle sounding data and ECMWF forecast data under different weather echo types, realizes calculation of spatial distance in grids in an expansion field, and improves the weather radar beam shielding rate. The method realizes preliminary extraction of spatial-temporal characteristics, constructs a self-attention mechanism model fused with physical perception, successfully generates a high-spatial-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set, realizes generation of the high-spatial-temporal-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set, and improves the spatial-temporal-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set. Accurate calculation of the beam ray propagation path of the high-temporal-spatial-resolution radar is achieved, calculation of the shielding orientation and the maximum elevation angle of a shielding object in each orientation ray beam block is achieved, finally, a beam shielding power integral calculation model is introduced, and accurate calculation of the weather radar beam shielding rate is successfully achieved.

The invention is applicable to the technical field of target range target measurement, and provides a post-event target range multi-target trajectory measurement method and system, a storage medium and a processor. Firstly, combined intersection calculation of targets at all moments is completed through azimuth pitch angles of the targets relative to multiple observation stations, three-dimensional position coordinates of the multiple targets at all moments are obtained, dimension raising operation of data to be separated is achieved, and due to the fact that one-dimensional data is additionally introduced, intersection of the target data is greatly reduced, and the trajectory separation difficulty is lowered; meanwhile, an unsupervised learning method, namely a clustering algorithm, is introduced, the algorithm can group the data without any guidance, and the efficiency is extremely high. The afterward target range multi-target trajectory measurement system adopting the method also has the above effects.

The invention provides a method for generating weather radar contour surface grid point data by considering beam width, and belongs to the technical field of weather radars, and the method comprises the following steps: obtaining radar base data, radar scanning range, target contour surface height, grid spacing and calculation precision, constructing a standardized grid, and obtaining a target contour surface grid point data set; the method comprises the following steps of: screening standard grid points meeting a radar scanning range, extracting data of which the current elevation angle meets a contour surface requirement, calculating a central azimuth angle of each layer of elevation angle and each radial wave beam, merging radar data of each layer under polar coordinates, and mapping radar data of the polar coordinates to a screened standard grid. The calculation complexity of the method is greatly optimized, and the calculation efficiency of the method is remarkably different from that of a traditional method.

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

The invention discloses a fan vortex-induced wake flow visualization test method and device based on an optical flow method theory, and the method comprises the steps: arranging at least three wireless smoke sprayers along the wall of a fan tower at different heights; acquiring colored smoke spraying images of the wireless smoke sprayers at different heights under various wind conditions by using image acquisition equipment, and synchronously acquiring unit state information at corresponding moments and elevation angle and focal length parameters of the image acquisition equipment; a vortex-induced wake flow visualization model is constructed; constructing a vortex-induced wake flow characteristic model based on an optical flow method; and utilizing the vortex-induced wake flow characteristic model to obtain the wake flow condition when the fan is subjected to vortex-induced. According to the method, colored smoke spraying images of wireless smoke sprayers at different heights under various wind conditions are obtained, a vortex-induced wake flow visual model is generated according to the images, the vortex-induced wake flow visual model is analyzed on the basis of an optical flow method, and a vortex-induced wake flow characteristic model is established, so that the wake flow condition during vortex excitation of the fan is conveniently obtained.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The invention discloses a multi-GNSS satellite signal power abnormity real-time monitoring method. The method comprises the following steps: acquiring real-time observation data of an observation station network which is uniformly distributed globally; when the linear relation between the carrier-to-noise ratios of different frequency signals of each satellite in each observation station and the dynamic monitoring threshold value related to the elevation angle of each satellite are determined, one signal is used for predicting another signal by using the linear coefficient, and the deviation between an actual value and a predicted value is calculated; calculating a satellite elevation angle of the real-time observation data, and determining a monitoring threshold value of the current satellite at the current moment according to the satellite elevation angle; and counting an average value of the deviations of all satellites monitored by all observation stations at the current moment, and marking that the power of the current satellite at the current moment is abnormal when the absolute deviation of the current satellite is greater than a monitoring threshold value. According to the invention, on the basis of the carrier-to-noise ratio linear relation of different frequency signals and the dynamic monitoring threshold, real-time monitoring of various power abnormal scenes including natural interference, man-made interference, satellite active power adjustment and the like is realized.

The invention relates to a low-orbit constellation satellite collection database building and space target orbit forecasting method, and belongs to the field of satellite communication. The method comprises the following steps: firstly, implementing low-orbit constellation satellite collection database construction, including satellite target resource analysis, resource description and resource mining, describing satellite resource individuals to be stored, acquiring multi-dimensional key information, and constructing a comprehensive and accurate low-orbit satellite target resource database; and in combination with a subsequent orbit forecasting algorithm and the parameters of the geographic position, the antenna pitch angle and the beam width of the communication receiving and transmitting end, the quantity and distribution of satellites in the beam intersection area of the receiving and transmitting end are obtained by using the forecasting model, and satellite resources are mined in a resource library. And predicting a satellite orbit by using the SGP4 orbit prediction model, obtaining the instantaneous position and speed of the satellite in-orbit operation, comparing the result of the orbit prediction model with the STK software simulation result, and verifying the prediction model. Technical guarantee is provided for efficient management and utilization of cooperative and non-cooperative giant low-orbit constellations in a complex space environment.

The invention discloses a regional prediction method for a wind power coefficient of a large reflecting surface based on a neural network. The method comprises the following steps: generating a wind power cloud picture according to resistance, lateral force and lift force of an antenna reflecting surface corresponding to a pitching angle and an azimuth angle under different working conditions; the method comprises the following steps: importing a wind power cloud picture into MATLAB: dividing an antenna reflecting surface according to the central symmetry and central stiffness distribution characteristics of the antenna reflecting surface to obtain circular ring partitions; dividing the wind power cloud picture of the near area of the antenna reflecting surface along the Z-axis direction of the YOZ plane according to the wind speed gradient to obtain Z-axis partitions; calculating a wind power coefficient of a region determined by the Z-axis partition and the circular ring partition; inputting the pitching angle and the azimuth angle under different working conditions and the wind power coefficient of each area as training data into a prediction network for training to obtain a trained prediction network; and inputting the pitching angle and the azimuth angle to be tested under different working conditions into the trained prediction network, and outputting the predicted wind power coefficient of the reflecting surface. The precision of wind power analysis is improved.

The invention discloses a comprehensive quality evaluation method and system for Beidou deformation monitoring observation data in a complex environment, and relates to the technical field of satellite navigation positioning, and the method comprises the steps: carrying out the comprehensive evaluation of an elevating angle, a signal-to-noise ratio, an epoch difference and an environment model of the observation data of a Beidou single station, and determining the initial quality of the data; based on the double-difference observation values among the multiple stations, the data quality evaluation precision is further improved by combining a double-difference ambiguity resolving method; according to the method, ionosphere delay, three-difference errors and inter-epoch difference errors are used for data fusion, a more accurate quality evaluation result is obtained, and finally, the data are optimized through comprehensive analysis based on the quality evaluation results of various types of data so as to ensure accurate positioning and deformation monitoring. The technology aims at improving the accuracy and reliability of data quality evaluation by comprehensively analyzing influence factors of Beidou observation data in a complex environment, and provides support for geological disaster monitoring, smart city construction and other high-precision application scenes.

The utility model provides a lens antenna, which relates to the technical field of antennae and comprises a luneberg lens, an earth radiation unit, an air radiation unit, a horizontal adjusting mechanism and a tipping adjusting mechanism. The center of the Lunberg lens is located on a reference plane, and the reference plane is parallel to the horizontal plane or forms a preset included angle with the horizontal plane. The to-ground radiation unit is arranged towards the center of the luneberg lens in a radiation manner, and the to-ground radiation unit is located above the reference surface; the air radiation unit is arranged towards the center of the luneberg lens in a radiation manner, and the air radiation unit is located below the reference surface; the horizontal adjusting mechanism is used for synchronously adjusting the main radiation direction of the to-ground radiation unit and the main radiation direction of the to-air radiation unit in the horizontal direction; and the tipping adjusting mechanism is used for independently adjusting the elevation angle of the main radiation direction of the air radiation unit. The lens antenna provided by the utility model has the characteristic of multidimensional adjustability, can meet the requirements of low altitude and ground coverage at the same time, and is compact in structure and small in occupied space.

The invention discloses a distributed ground-based radar atmospheric refraction error calculation method for celestial body observation. According to the method, a local numerical weather forecast model is corrected by using real-time surface meteorological parameters, atmospheric refractive index profile data containing elevation meteorological information is obtained, a geometric elevation angle of a celestial body target is taken as a standard, and a neutral atmospheric refractive index error is searched in combination with a corrected data source and a ray tracing method, so that the atmospheric refractive index is obtained. And finally, neutral atmospheric refraction error calculation and correction are realized. The effectiveness of the algorithm is verified through simulation.

The invention provides a distributed millimeter wave radar network-oriented DOA estimation method, a medium and equipment, and belongs to the technical field of radar signal processing. According to the method, after a large-aperture MIMO radar system is formed based on a plurality of small millimeter wave radars, a two-dimensional single-snapshot sparse array signal model is constructed by using a steering vector of a two-dimensional MIMO equivalent virtual plane array, and data interpolation and extrapolation processing are performed on aperture missing existing in a sparse array by constructing a block Hankel matrix and applying a matrix completion technology. On the basis, a fast two-dimensional angle estimation algorithm based on phase coherence factor weighting is adopted, and efficient joint estimation of the azimuth angle and the pitch angle of the target is achieved. The method can be flexibly applied to different types of distributed millimeter wave radar networks, effectively overcomes the interference effect of DOA estimation sidelobes and grating lobes in the prior art, and improves the signal-to-noise ratio level of array response.

A detection method for determining the communication availability of a satellite-to-ground laser link based on sky infrared remote sensing images comprises the following steps: 1) obtaining meteorological information and sky infrared remote sensing images above a satellite-to-ground laser communication ground station; 2) calculating the corresponding elevation angle and position relationship between the satellite and the ground station at each moment, and calculating the cloud base height and cloud optical depth of the spatial region through which the satellite-to-ground link passes based on the meteorological information and the sky infrared remote sensing images; 3) using a Monte Carlo laser vector transmission model to model the cloud laser channel based on the corresponding elevation angle and position relationship, cloud base height, and cloud optical depth results between the satellite and the ground station at each moment, and normalizing the residual to serve as a reference value for the link communication availability; 4) judging the communication availability of the laser link between the satellite and the ground station based on the atmospheric turbulence obtained in step 1; and 5) predicting future sky infrared remote sensing image change information of a specified satellite-to-ground laser ground station using machine learning technology.

The invention provides a belt tearing rapid detection and early warning device and method based on artificial intelligence, and relates to the technical field of equipment detection. According to the device provided by the invention, a monitoring unit is arranged at a blanking port, and a high-speed CCD (Charge Coupled Device) camera mounted at a 45-degree elevation angle works cooperatively with a laser transmitter to capture a line laser image at the bottom of a belt in real time; the core technology of the rapid detection and early warning method comprises the following steps: 1) an improved Sobel enhancement operator is used for inhibiting dust and water stain interference while keeping a real edge; 2) performing multi-scale LBP feature analysis, and accurately extracting crack textures in combination with dynamic threshold segmentation; the method comprises the following steps of (1) building a deformation index DI model to realize grading early warning, (2) building a deformation index DI model to realize grading early warning, (3) capturing space-time continuity through a 3D convolution kernel and realizing longitudinal crack detection in cooperation with the curvature quantification model, (3) building a distortion index DI model to realize grading early warning, (4) iron ore field verification shows that the transverse crack detection rate and the longitudinal crack early warning accuracy are both higher than those in the prior art, the false alarm rate in a dust environment is as high as 7%, and material leakage and safety accidents are effectively avoided.

The invention discloses a portable urban thermal environment intelligent sensing method and equipment based on AR, and the method comprises the steps: collecting a panoramic RGB street scene image of a user visual angle through AR glasses, and synchronously obtaining the time, geographic position and meteorological parameters; mapping the RGB image and the environmental parameters into a panoramic infrared thermal image by using a generative adversarial network, and obtaining the radiation temperature of each pixel; projecting the panoramic heat map to a unit spherical surface taking a user as a center, calculating a long-wave radiation flux through spherical surface angle integration, and calculating a short-wave radiation flux based on a solar radiation model by combining a solar elevation angle and the like; and fusing the total radiation amount to calculate the average radiation temperature, and finally superposing the heat map and / or the average radiation temperature to a real or virtual environment through AR glasses or an intelligent terminal to realize spatialization thermal load visualization.

Aspects presented herein may improve beam management and neighbor cell(s) monitoring related characteristics on a UE side, which may include improved power consumption, configuration volume reduction, and more robust and efficient beam tracking procedures for UEs receiving and monitoring SSBs transmitted by a base stations. In one aspect, a UE is configured to apply an SSB IDs classification based on a systematic mapping configuration that maps a set of SSB IDs to a plurality of SSB beams of a network entity, each SSB beam of the plurality of SSB beams being associated with one SSB ID of the set of SSB IDs and covering a range of azimuth angles and a range of elevation angles. Based on the mapping configuration and the semi-deterministic SSB beams sweeping pattern, the UE may classify SSB IDs into different categories and prioritize and deprioritize measurements for one or more SSB IDs.

The invention relates to the technical field of satellite communication, in particular to a dynamic beam adjustment system for medium and low orbit satellite communication. Comprising a beam demand sensing unit; the dynamic beam calculation unit counteracts the influence of a complex environment on beam coverage through a multi-factor cooperative compensation mechanism; the beam execution adjustment unit is used for realizing beam accurate pointing and interference suppression through an adaptive phase optimization algorithm; and a satellite-ground cooperation unit. Through a multi-factor cooperative compensation mechanism, a beam theory pointing angle is calculated based on a spherical geometrical relationship, compensation amounts are determined by combining satellite motion, user movement and atmospheric refraction, and a communication scene is determined according to a satellite elevation angle, a user terminal motion speed and a communication link signal-to-noise ratio. The weight of each compensation amount is dynamically adjusted and synthesized into the total compensation amount, and finally the actual beam pointing angle is obtained, so that the coupling influence of multiple factors on beam coverage in a complex environment is effectively counteracted, and the beam pointing precision is improved.

Systems and methods for a processor in connection with a light detection and ranging (LiDAR) sensor to cluster data points in a LiDAR data set using reduced processing power are provided. The processor can receive a LiDAR dataset including a plurality of data points representing a plurality of points in a light detection and ranging (LiDAR) point cloud generated by a LiDAR device. For a group of data points having the same azimuth angle among the plurality of data points, the processor can, iteratively from a lowest elevation angle to a highest elevation angle, determining a search area of a specific data point, perform a range check on data points in the search area under a predefined sequence to identify neighbors of the specific data point, and cluster the specific data point with neighbors identified in the search area.

The invention belongs to the technical field of meteorology, and particularly relates to a sand storm monitoring method based on aerosol window analysis and spectral indexes. Preprocessing the Himawari-8 data, and generating a raster data set including channel data, latitude and longitude information, elevation angle information and zenith angle information; a lookup table is constructed through a 6S radiation transmission model, and the optical thickness of the aerosol is inverted by using spectral information in the remote sensing image; scanning an image through a sliding window, and screening a sand storm feature region in combination with weighted average, standard deviation and abnormal judgment of aerosol concentration; establishing a sand-dust spectral index by using the sand-dust sensitive wave band; and combining the aerosol concentration with the sand and dust spectral index to extract sand and dust storm information. According to the method, the aerosol concentration and the sand dust spectral index are combined, sand dust storm information can be effectively identified and extracted, and important data support is provided for environmental protection and disaster early warning; the diversity of the sand storm detection method is increased, and the obtained result is accurate and reliable.

The invention relates to a double-antenna BDS-R real-time water level monitoring method and an integrated device, and belongs to the technical field of GNSS remote sensing. The method comprises the following steps: data acquisition; data processing: firstly decoding the received data, and extracting a double-frequency pseudo range and a carrier phase observation value; a second step of performing quality control on the decoded data, including constraint of an elevation angle and an azimuth angle, cycle slip detection and the like, and eliminating non-water-surface reflection signals and abnormal data; a third step of establishing a double-difference observation equation based on the pseudo-range and carrier phase observation value, introducing a horizontal baseline constraint into the observation equation, and enhancing the resolving stability through virtual observation quantity; fourthly, Kalman filtering is used for achieving per-epoch baseline estimation, and a least square ambiguity decorrelation adjustment (LAMBDA) method is used for solving a baseline fixed solution; and finally calculating the water level of the current epoch by using the baseline vector. And transmitting data. According to the invention, the problems of poor real-time performance, complex deployment and high cost in the existing water level monitoring technology are solved.

The invention discloses a large-parallax large-angle rotation infrared image splicing method, and relates to the technical field of infrared image splicing, the large-parallax large-angle rotation infrared image splicing method comprises the following steps: detecting a vanishing line in a to-be-spliced image, using the vanishing line and affine transformation to construct an integral homography matrix, and using the integral homography matrix to construct an integral homography matrix; and according to the overall homography matrix, recovering the parallel relationship of the straight line segments in the to-be-spliced image, correcting the orthogonal relationship of the straight line segments, and splicing and fusing the corrected image to obtain an infrared spliced image. The method can find the horizon line of the scene in the image and correct the horizon line to the horizontal direction, greatly reduces the difficulty of image splicing, has a strong correction capability for the image shot at a certain elevation angle, has a good effect of the spliced image obtained by the method, conforms to the visual habit of human eyes, and has a good application prospect. The requirements of large field of view and high resolution are met, and the system is particularly suitable for application scenes during infrared image shooting.

The invention discloses a ground large-aperture reflector composite support design method and a ground large-aperture reflector composite support structure. The ground large-aperture reflector composite support design method comprises the following steps: S1, determining the position of an adhesive point annular belt of a center support at a center hole of a lightweight primary mirror; s2, determining the position of a distribution circle supported by six points on the back of the primary mirror; s3, designing the size of a force unloading groove at the central support for releasing thermal stress; s4, designing the size and the installation depth of a universal flexible joint supported by six points, and realizing freedom decoupling; and S5, parametric modeling is carried out on the supporting structure, supporting parameters are optimized through finite element analysis, and it is ensured that the optical surface deformation RMS values of the primary mirror at the optical axis level and the 60-degree elevation angle are both not larger than 15 nm. The problem that in the prior art, when a large-aperture reflector is in the environment of large temperature change and large pose change, the optical surface is deformed due to the action of thermal stress and gravity, and the imaging quality is affected is effectively solved.

The invention provides a regional ionosphere modeling method and device, electronic equipment and a storage medium, and belongs to the technical field of satellite navigation positioning, and the method comprises the steps: obtaining the coordinates of a plurality of reference stations in a region, matching the coordinates with a preset threshold value, obtaining the coordinates of reference points, and obtaining the regional ionosphere based on the coordinates of the plurality of reference stations in the region and the coordinates of the reference points. Obtaining a longitude difference value and a latitude difference value between the regional reference station and the reference point, obtaining the coordinate of the target satellite, and obtaining the difference value of the elevation angles of the plurality of reference stations and the reference point observation target satellite based on the coordinate of the target satellite and the coordinates of the plurality of reference stations in the region; and constructing a coefficient matrix based on the difference value of the elevation angle and the longitude difference value and the latitude difference value between the regional reference station and the reference point, and constructing a regional ionosphere model based on the coefficient matrix and the obtained regional ionosphere model coefficient. Due to the fact that the influences of the horizontal gradient and the vertical delay are considered at the same time in the modeling process, the model fitting precision is remarkably improved.

The embodiment of the invention provides a bridge monitoring satellite data quality control method based on signal-to-noise ratio grid comparison, and belongs to the technical field of satellites. The method comprises the following steps: carrying out pseudo-range single-point positioning calculation according to an observation value file and a broadcast ephemeris file to obtain observation data of each satellite; performing grid division on the satellite sky map according to a preset elevation angle interval and an azimuth angle interval to obtain a standard grid; on the basis of a standard grid, independently stacking observation data of each observation station to obtain a signal-to-noise ratio grid model corresponding to each observation station; performing preferential fusion according to the signal-to-noise ratio grid models of all the observation stations to obtain a high-quality grid model; performing data comparison on the signal-to-noise ratio grid model of each observation station and the high-quality grid model to obtain an available data area of each observation station; and performing quality control on the current observation data according to the available data area to obtain high-quality data. According to the invention, the observation area which is not subjected to interspersed shielding interference can be identified, and data quality control is realized.