6570 results about "Azimuth" patented technology

The invention belongs to the technical field of data processing, and particularly relates to a well deviation azimuth measurement system based on a high-precision compensation algorithm. The system comprises a reference vector construction part, a compensation part and a Kalman filtering measurement part. The benchmark vector construction part is used for determining a reference benchmark of a geomagnetic field and a gravitational field in the underground environment; the compensation part is used for compensating original sensor data measured by the underground sensor group, and estimating an underground initial attitude angle according to compensated accelerometer data and compensated magnetometer data in the compensated data; calculating attitude change data; according to the attitude change data, constructing a local interference field model to obtain corrected magnetometer data; and the Kalman filtering measurement part is used for modeling all error sources into state vectors, correcting measurement errors in real time through a Kalman filtering algorithm and outputting a final well deviation direction. According to the invention, the precision, the stability and the robustness of well deviation azimuth measurement are obviously improved.

The invention relates to the technical field of communication, in particular to an airborne Tiantong phased-array antenna and an application method thereof. According to the method, phased-array antenna beams are driven to perform electronic scanning according to a geometric azimuth angle, beacon signal blind acquisition is performed in a preset airspace in a wide beam mode, and when an initial signal is detected, the mode is immediately switched to a narrow beam scanning mode; dynamically adjusting a phase weighting coefficient to realize pointing adjustment, so that a signal quality parameter is continuously converged in an optimal threshold interval; carrying aircraft maneuvering acceleration feedback is introduced, beam pointing offset is dynamically compensated based on a pre-constructed interference feature library, and signal fluctuation caused by a multipath effect is suppressed; and continuously checking a data validity flag bit of the main inertial navigation system, seamlessly switching to an antenna built-in inertial navigation data stream when a failure threshold is triggered, and activating a rapid recapture program to maintain zero interruption of a communication link. Through dual-source inertial navigation data fusion and intelligent beam control, rapid and accurate tracking of Tiantong satellites in an airborne environment is realized.

The invention provides an inter-satellite laser communication sunshine avoidance method and system capable of preventing direct sunlight. Belongs to the technical field of space laser communication. The method comprises the following steps of: judging an included angle according to a satellite broadcast sun vector and a current optical axis pointing vector in real time, and if the included angle is less than 3 degrees, autonomously entering a sun avoidance mode; the sun vector is converted into an optical antenna azimuth pitching two-dimensional coordinate system, and the azimuth, the pitching value and the azimuth pitching change direction of the sun vector are determined; and when the included angle between the pointing vector and the sun vector is greater than 3 degrees, the sun avoidance is automatically ended, and the link is reestablished. According to the technical scheme, forecasting is not needed, the included angle is calculated in real time according to the current laser terminal optical axis direction and the satellite broadcast sun vector, if the included angle is smaller than 3 degrees, the solar avoidance mode is automatically entered, manual instruction uploading is not needed, and the method has the advantage that direct sunlight can be effectively avoided in the avoidance process.

The invention relates to a three-dimensional reconstruction method and system based on polarization fringe projection structured light fusion, and the method comprises the steps: obtaining a light intensity image and a Gray code image, solving the solution phase of the light intensity image, and obtaining the absolute phase of an object; according to the mapping relation between the absolute phase and the three-dimensional space point cloud, three-dimensional coordinates of all pixel points of the object are calculated to obtain a point cloud, and adjacent points in the point cloud are selected for fitting calculation to obtain a normal; calculating according to the light intensity image and the Gray code image to obtain a full-white image, and splitting the full-white image into four images with different polarization angles; solving an azimuth angle and a zenith angle through the four images with different polarization angles, and calculating a target normal according to the azimuth angle and the zenith angle; and calculating an included angle between the normal and the target normal, removing inaccurate points in the point cloud by setting an included angle threshold, and generating a three-dimensional reconstruction result. According to the invention, a three-dimensional reconstruction result with low data redundancy can be generated, and the precision and robustness of three-dimensional reconstruction can be effectively improved.

The invention relates to the technical field of trajectory tracking, in particular to an unmanned aerial vehicle trajectory tracking target classification method and system based on a multi-frequency-band radar, and the method comprises the following steps: synchronously collecting original radar echo data of a millimeter wave frequency band, a Ku frequency band and an L frequency band, and generating a multi-frequency-band data set comprising a timestamp, an azimuth angle and a pulse sequence; extracting multi-dimensional features of the target from the synchronized multi-band data set, and generating a multi-band feature vector; constructing a dynamic trajectory association matrix, and determining the space-time continuity of a target trajectory through a trajectory association algorithm based on an attention mechanism; constructing a lightweight classification model; performing online classification on the real-time multi-band feature vectors by using a lightweight classification model, and outputting a target type and confidence; according to the method, capture of the motion state of the target is enhanced, rapid response can be made to tiny motion and change of the target in a complex scene, and therefore more comprehensive and accurate time sequence context information is provided for subsequent classification tasks.

The embodiment of the invention provides a three-dimensional ray drawing method and device, and a curve control point is dynamically generated through precise conversion of a geographic coordinate system and a projection coordinate system in combination with an azimuth angle and an earth surface distance. A curvature correction mechanism based on a curved surface projection model is innovatively designed, the influence of the earth curvature on a ray trajectory is considered, and smooth space trajectory generation is realized through a Bezier curve parameter model. According to the system, the coordinate transformation compensation and spherical projection technology is adopted, accurate mapping of a geodetic coordinate system and a display coordinate system is established, accurate rendering of a three-dimensional space curve under different scales and view angles is ensured, and a high-precision technical scheme is provided for geographic information visualization. According to the method, the limitation of traditional straight line drawing is broken through, and the real trajectory expression considering the earth curvature is realized.

The invention provides an intelligent drilling guide method and system for a petroleum drilling tool face, and relates to the technical field of intelligent control, and the method comprises the steps: determining a first target point, a second target point and a third target point in the process of tracking a target azimuth angle according to a dynamic adjustment instruction; constructing a dynamic triangle through the first target point, the second target point and the third target point, and taking the barycentric coordinate of the dynamic triangle as an azimuth angle correction value; correcting forward and reverse rotation angles and periodic parameters of the drill string according to the azimuth angle correction value so as to obtain a corrected dynamic adjustment instruction; and controlling a drill string to act based on the corrected dynamic adjustment instruction, so that the underground tool surface continuously approaches the target azimuth angle through closed-loop iteration adjustment. The control efficiency and stability of the tool face under the complex working condition can be improved.

The invention relates to the technical field of directional drilling track control, and discloses a coal mining underground directional drilling track control method and system, and the method comprises the steps: carrying out the fusion track analysis of a drilling machine based on sensor data, drilling parameters and pre-obtained geological hardness parameters, and obtaining a reference track of the drilling machine, a sensor, an azimuth angle sensor and a bit pressure sensor are used for synchronously collecting drill bit attitude data of a drilling machine to generate a real-time track of the drilling machine, then track offset calculation is carried out to obtain inclination angle deviation and azimuth angle deviation, and dynamic gain adjustment analysis is carried out on the drilling machine to obtain adjustment parameters of the drilling machine. And finally, the drill bit posture of the drilling machine is adjusted based on the adjusting parameters. According to the method, the directional control accuracy of the underground drilling track can be improved.

Techniques for detecting and modifying radar data anomalies using multistage clustering are described herein. In some examples, radar data including a set of radar points may be captured by a vehicle operating within an environment. The vehicle may determine a radar point subset by clustering the radar data based on the range and doppler values of the radar points. The vehicle may analyze the azimuth values associated with the radar point subset, including evaluating the azimuth values of the radar point subset relative to one or more azimuth error ranges determined based on the radar antenna configuration and / or multipath detections. When detecting anomalous and / or invalid radar points having azimuth values within an azimuth error range, the vehicle may modify the subset of radar points to mitigate the anomalous or invalid radar points.

The invention provides a calibration method for an inertial measurement unit of an airborne photoelectric platform, and belongs to the technical field of precision optical machine installation and adjustment, and the method comprises the following steps: S1, detecting and adjusting the intersection degree of the position of an azimuth pitch axis system of the airborne platform; s2, calibration and precision detection are carried out on a rotating shaft of an azimuth pitch axis system of the airborne platform; s3, detecting and adjusting the perpendicularity of the azimuth pitch axis system of the airborne platform; s4, carrying out orthogonality detection and adjustment on the optical axis and the shaft system of the photoelectric platform; and S5, calibrating the coordinate system deviation of the inertial measurement unit. According to the method provided by the invention, through a series of optical machine adjustment steps, the shafting precision adjustment of the airborne platform and the deviation calibration of the inertial measurement unit are completed at the same time, the orthogonal coordinate system adjustment and positioning of the shafting and the optical axis of the airborne photoelectric platform are realized, and the deviation value of the inertial measurement unit and the orthogonal coordinate system is tested. And the information is fed back to a data processing subsystem to realize geometric space correlation calculation.

The embodiment of the invention provides an X-band weather radar non-rainfall data quality control method and system. The method is applied to the technical field of weather radars and comprises the following steps: acquiring X-band weather radar data; identifying and eliminating the electromagnetic interference echo according to the continuity characteristic of the electromagnetic interference echo and the distribution condition of the correlation coefficient CC and the differential reflectivity factor ZDR; judging whether the difference value of the reflectivity factors of each echo point before and after hardware filtering is greater than a preset threshold value or not, and if so, marking the echo point as a rainfall echo; if not, fuzzy logic recognition elimination based on characteristic parameters is carried out; wherein the non-precipitation echo probability PNPR and the precipitation echo probability PPR of each echo point are calculated according to the characteristic parameters, whether the PNPR is larger than the PPR or not is judged, and if yes, the echo point is marked as a non-precipitation echo; if not, non-rainfall weak echo discrimination is carried out; whether the echo is a non-rainfall echo is determined by comparing the reflectivity factor mean value # imgabs0 #, the correlation coefficient mean value # imgabs1 # of the elevation angle of the whole layer of the echo and the ratio ValCC of the effective distance library number of the correlation coefficients with a judgment threshold value, and if the echo is the non-rainfall echo, the echo point is marked as the non-rainfall echo; and if not, continuously filtering scatter and plaque noise around the echo point by using the reflectivity factors in the radial direction and the azimuth to obtain the rainfall echo. In this way, the quality of weather radar data can be improved.

An object detection device includes an azimuth sensor that measures an azimuth region of an object that is present around a vehicle, a plurality of distance sensors each of which measures a distance to the object, and an object determination section that calculates arcs of circles whose radii are the distances measured by the respective distance sensors and calculates intersection points of a tangent to adjacent ones of the arcs and the azimuth region measured by the azimuth sensor.

The invention provides a heliostat support which comprises a base, an azimuth angle driving device, a connecting base, a heliostat bracket and an elevating angle driving device, the azimuth angle driving device is connected with the base and the connecting base, the heliostat bracket is rotationally connected with the connecting base, and at least one of the connecting base and the output end of the azimuth angle driving device is connected with the heliostat bracket through the elevating angle driving device; the heliostat support further comprises a damping device, and at least one of the connecting base and the output end of the azimuth angle driving device is connected with the heliostat frame through the damping device. The invention further provides a heliostat which comprises the heliostat support and a reflecting mirror set, and the reflecting mirror set is installed on a mirror bracket and fixed. According to the heliostat support and the heliostat provided by the invention, the damping device is arranged, the mirror bracket is connected with at least one of the connecting seat and the output end of the azimuth angle driving device through the damping device, and wind vibration energy can be consumed under a wind load, so that the heliostat mirror bracket is kept stable, and the influence of wind vibration on the light spot focusing accuracy of the heliostat is reduced.

The invention discloses a method and a system for accurately positioning an article by using an RFID (Radio Frequency Identification Device) technology, and relates to the technical field of article positioning, an antenna array starts to receive an RFID signal sent by a product label, the relative position of a product is generated after the time difference of the RFID signal reaching each antenna is obtained, and the relative position is corrected by a reflection path identification algorithm, so that the product positioning accuracy is improved. And estimating an incident angle of the signal according to the phase difference received by each antenna, generating a relative azimuth angle of the product, calculating an actual position coordinate of the product by combining the relative position and the relative azimuth angle of the product by utilizing a fusion algorithm, and performing real-time positioning when the product is in a moving state. The positioning system performs position coordinate calculation on a product through a fusion algorithm, effectively reduces positioning errors of a single algorithm, improves positioning precision, dynamically adapts to warehouse structure and environment characteristics, and enhances space adaptability of the positioning system.

The invention provides a method and device for determining the horizontal stress difference ratio of a deep coalbed methane reservoir, and relates to the technical field of deep coalbed methane exploration, and the method comprises the steps: obtaining the logging data and azimuth seismic observation data of the deep coalbed methane reservoir, building a reservoir parameter initial model of the deep coalbed methane reservoir based on the logging data, and obtaining the horizontal stress difference ratio of the deep coalbed methane reservoir; constructing a target functional for inverting deep coal bed gas reservoir parameters on the basis of azimuth seismic observation data and an azimuth seismic reflection coefficient equation, and solving the target functional on the basis of a generalized linear inversion theory and an iterative reweighted least square joint algorithm under the constraint of the initial model to obtain a reservoir parameter target model; and calculating the horizontal stress difference ratio of each sampling point in the deep coal bed gas reservoir according to the target model. According to the method, under the constraint of the accurate initial model, accurate estimation of the horizontal stress difference ratio of the deep coal bed gas reservoir is achieved, and the technical problem that an existing horizontal stress difference estimation method is low in accuracy is solved.

The invention provides a three-dimensional topographic surveying and mapping system based on a remote sensing technology, and relates to the technical field of data processing, and the system comprises the steps: calculating the zenith angle and azimuth angle of the sun according to the shooting time and geographic position information of remote sensing data; constructing a second mapping relation among the light source vector, the zenith angle and the azimuth angle by using the zenith angle and the azimuth angle of the sun; according to the normal vector information and the light source vector in the first mapping relation, the reflected light intensity of each area is calculated; based on calculation of the reflected light intensity and remote sensing data of each region, obtaining prior normal vector information of the surface of the target terrain region through inversion calculation; and correcting the normal vector information in the first mapping relation based on the prior normal vector information to obtain corrected normal vector information. According to the invention, the precision and reliability of three-dimensional topographic surveying and mapping can be improved.

The invention discloses a simulation six-degree-of-freedom real sea condition random wave detection system and a simulation six-degree-of-freedom real sea condition random wave detection method. The simulation six-degree-of-freedom real sea condition random wave detection system comprises the following parts: a wave direction reproduction mechanism for simulating a real sea condition sea surface motion attitude, placing a wave buoy or a wave sensor and providing the motion attitude; the horizontal rotation driving mechanism is used for driving the wave direction reproduction mechanism to horizontally rotate; the laser ranging mechanism is used for calculating the wave height of the wave direction reproduction mechanism; the photoelectric period measuring mechanism is used for calculating the wave period of the wave direction reproduction mechanism; the wave direction angle measuring mechanism is used for measuring the wave direction of the wave direction reproduction mechanism; the bottom plate mechanism provides a detection platform for the whole system; the overall angle measuring mechanism is used for indicating the azimuth angle of the bottom plate mechanism; the land wheel mechanism horizontally moves the whole system and adjusts the bottom plate mechanism to be in a horizontal posture; and the control unit is used for controlling six-degree-of-freedom actions of the wave direction reproduction mechanism, respectively acquiring data of each mechanism and acquiring wave direction, wave height and wave period numerical values. According to the invention, all-parameter detection and calibration can be realized, and high-quality reproduction and magnitude transmission of wave direction parameters are realized.

The invention discloses an alignment method for a vehicle-mounted radar and related equipment, and relates to the technical field of navigation calibration, and the method comprises the following steps: obtaining inertial measurement unit data and horizontal tilt angle sensor data of the vehicle-mounted radar; generating an initial attitude matrix based on the inertial measurement unit data; determining a horizontal attitude data difference based on the horizontal tilt angle sensor data and the initial attitude matrix; and obtaining an alignment result of the vehicle-mounted radar based on the horizontal attitude data difference and a Kalman filtering algorithm. The initial attitude matrix is generated by fusing the inertial measurement unit data and the horizontal tilt angle sensor data, fine alignment is performed by combining the horizontal attitude data difference and the Kalman filtering algorithm, the azimuth angle alignment precision of the vehicle-mounted radar in a dynamic environment is improved, dependence on external satellite signals is not needed, and the accuracy of the azimuth angle alignment is improved. High-precision autonomous alignment can be realized under complex working conditions such as shaking and vibration, meanwhile, the hardware cost and the system complexity are reduced, and the method has wide applicability.

The invention belongs to the technical field of geophysical monitoring, and relates to an electromagnetic interference detection method for earthquake monitoring, which comprises the following steps: deploying a multi-dimensional electromagnetic field sensing unit and an earthquake signal acquisition unit and realizing high-precision synchronization; synchronously acquiring multi-dimensional electromagnetic field and seismic physical signal data; performing multi-feature and noise feature extraction on the two; inputting the features into a pre-trained machine learning / deep learning model for identification, and outputting information such as interference type, intensity and azimuth angle; and carrying out influence evaluation and quality marking on the seismic data according to the output, and selectively inhibiting or compensating. Through the above scheme, multi-dimensional perception and characterization, high-precision synchronization and correlation analysis, intelligent identification and spatial positioning are realized, and the reliability and accuracy of earthquake monitoring data are significantly improved.

The invention relates to a method for measuring the spatial pointing precision of a panoramic camera turntable, which comprises the following steps of: firstly, establishing an initial coordinate system for an azimuth axis and a pitch axis, performing data measurement on the two axes during rotary motion through a laser tracker, and calculating circle center coordinates and circular surface direction vectors of the two rotary axes through a spatial circle fitting method of sphere fitting and plane fitting; the actual position relation of the two coordinate systems can be obtained, then the offset and the angular deviation between the two coordinate systems can be calculated through the actual position relation of the two coordinate systems, and calibration parameters are obtained; and solving a transformation matrix between the reference coordinate system and the measurement coordinate system by using the actual position relation of the two coordinate systems, obtaining a coordinate vector of a measured point in the reference coordinate system, and solving a space included angle between the two vectors according to the coordinate vector and a theoretical position coordinate vector of the measured point to obtain a space pointing error. The method adopts a space coordinate calculation mode of a robotization method, not only has universal significance, but also can be popularized to precision measurement of other two-axis universal two-dimensional space pointing mechanisms.

The invention discloses a data processing method and system for micro-motion detection array station distribution, and relates to the technical field of micro-motion detection, and the method comprises the steps: according to the actually measured starting point coordinates and the azimuth angle of a measuring line, setting the measuring point distance, and the radius and number of nested triangle circumcircles, generating field station coordinates in batches; collecting and preprocessing station waveform data; calculating a spatial autocorrelation coefficient of any center station and a non-center station; dBSCAN clustering is carried out based on the station distance; performing spatial averaging on the spatial autocorrelation coefficient according to a clustering result; fitting the averaged spatial autocorrelation coefficient and a zero-order Bessel function to obtain a frequency dispersion spectrum, picking up a surface wave phase velocity in the frequency dispersion spectrum, and calculating an apparent shear wave velocity; inverting the shear wave velocity of the waveform data by adopting a self-adaptive gradient inversion strategy; and generating a velocity comprehensive profile of a depth domain and a frequency domain according to the surface wave phase velocity, the apparent shear wave velocity and the inverted shear wave velocity. The invention provides a new method for station distribution to data processing for micro-motion detection.

The invention discloses an atmospheric boundary layer turbulence statistic inversion method and system based on a 6-beam ground-based light quantum wind measurement laser radar DBS scanning mode, a medium and a program product, and relates to the technical field of atmospheric remote sensing and boundary layer detection. A multi-direction radial wind speed time sequence is collected, and the radial speed variance of each beam is calculated on the basis of data quality control; and further establishing a relationship between the velocity variance and the covariance of the velocity in the three directions, constructing an observation equation set and inverting the turbulence statistics, and combining coordinate rotation to obtain the turbulence statistics in the downwind direction, the transverse wind direction and the vertical direction. And finally, calculating turbulent flow kinetic energy, and outputting a turbulent flow statistic vertical profile of each height layer. According to the method, continuous monitoring and high-precision description of the atmospheric boundary layer turbulence statistics can be realized, and the requirements of a service system on stability, precision and deployability of a boundary layer turbulence inversion product are met.

The invention discloses an unmanned ship displacement attitude high-precision fusion method based on adaptive Kalman filtering, and belongs to the technical field of ship sensing positioning, and the method comprises the steps: building a discrete time state space model of a navigation data state through employing a discrete integration mode based on the navigation data state; obtaining a system state equation by means of a rotation matrix and a median theorem; obtaining an observation transfer matrix through coordinate system information, a geodesic line length between two points and an azimuth angle, and obtaining a state observation equation by combining noise data; based on the system state equation and the state observation equation, using an adaptive Kalman filtering algorithm to obtain displacement attitude information of the unmanned ship; detecting the prediction data of the unmanned ship by using a sliding window method; and when the predicted data is detected to be abnormal, substituting the predicted data into Kalman filtering for correction. According to the invention, through state modeling, fusion algorithm, anomaly detection and anomaly correction, the precision, reliability and robustness of obtaining the displacement attitude information of the unmanned ship are improved.

The invention relates to the technical field of telescope guiding, in particular to a telescope guiding method and application thereof.The method includes the steps that for a telescope with the azimuth angle rotating range within the # imgabs0 # interval, the rotating track of the telescope is planned according to the relation between the azimuth angle of original guiding data of the telescope and the current pointing direction of the telescope, and the azimuth angle of the telescope is obtained; therefore, the actual guiding data of the telescope is obtained, the telescope is guided, and different plans are made for the guiding method of the telescope according to fixed stars, satellites and temporary targets. According to the method, it can be ensured that the telescope does not generate unnecessary reverse circle-crossing rotation before single target observation starts, it can also be ensured that reverse circle-crossing rotation is not generated in the single target observation process as much as possible, the target observation waiting time is shortened, the target observation interruption probability is reduced, and the effective observation time is prolonged.

The present invention relates to the technical field of prevention and control of geological disasters in mountainous coal mining areas. Disclosed are an InSAR-based measurement method for the angle of critical deformation of a coal mining area, and a system. The method comprises: acquiring a mining-induced surface deformation field image by means of small baseline subset-interferometric synthetic aperture radar; in the mining-induced surface deformation field image, separately drawing profile lines along a coal seam strike and a coal seam dip, and selecting target deformation points on the profile lines as points to be monitored; according to the incident angle, the flight direction and the azimuth angle of a satellite, obtaining vertical and horizontal deformation values; using a probability integral method to calculate parameters such as inclination, curvature and horizontal deformation; and drawing a curve graph on the basis of the vertical deformation of a target region and the above parameters, so as to obtain a corresponding angle of critical deformation. The InSAR-based measurement method for angle of critical deformation of a coal mining area provided by the present invention has the advantages of improved temporal resolution and reduced phase noises and the like, can achieve high precision and high efficiency, and can generate clear and visible Excel tables for surface deformation data of mining areas and corresponding profile data.

The invention discloses an FDA-MIMO radar multichannel coherent accumulation method based on distance-frequency offset compensation, and belongs to the technical field of radar moving target detection. The method comprises the following steps: obtaining an echo signal of a target by using a two-dimensional planar array FDA-MIMO radar; performing multi-channel matched filtering on the echo signal, and performing FFT (Fast Fourier Transform) at slow time to realize pulse accumulation; performing covariance matrix calculation to obtain a noise subspace and a signal subspace; searching an azimuth angle and a pitch angle of the target, and obtaining a distance-frequency offset coupling compensation vector based on characteristic decomposition; and performing multi-channel beam forming, performing coherent synthesis on multi-channel signal energy, and performing target detection by using a constant false alarm rate. According to the method, the output signal-to-noise ratio can be remarkably improved, the calculation complexity of coherent accumulation is reduced, and when an error exists in target distance estimation or a Doppler effect is generated by frequency offset, compared with a MUSIC algorithm, the method can obtain higher coherent accumulation gain.

The invention belongs to the technical field of sound source positioning, and particularly relates to a sound source orientation identification method based on a three-array-element miniature microphone array. According to the method, sound source localization is converted into a deep learning classification task by extracting a microphone array sound intensity feature map. The method comprises the following steps: firstly, on the basis of a three-array-element differential microphone array, extracting orthogonal sound intensity features and converting the orthogonal sound intensity features into an RGB sound intensity spectrogram; secondly, designing a new lightweight neural network to meet the requirements of sound source localization and deployment; and finally, the horizontal plane sound source orientation is divided into different angle categories, a sound intensity spectrogram data set is made and sent to a neural network for training and testing, and a sound source orientation recognition result is obtained. Compared with the prior art, the feature map and the network model provided by the invention have better robustness in a high reverberation environment, the azimuth recognition angle precision is high, the calculation complexity is low, and the method is not influenced by voice characteristics.

The invention provides an AR positioning and direction correction method and device, equipment and a storage medium, and relates to the technical field of augmented reality, and the method comprises the steps: obtaining a first high-precision positioning point and a second high-precision positioning point, and respectively calculating azimuth angles in a geographic coordinate system and an AR coordinate system; the initial orientation when the device is started is then determined by using the angle difference between the azimuth angles. According to the initial orientation, coordinate orientation rotation can be carried out on three-dimensional scene elements in the AR scene, so that direction correction is completed. By using the high-precision positioning point information, the initial orientation of the equipment can be determined more accurately, so that the accuracy of AR positioning is improved. Moreover, no external auxiliary equipment or infrastructure is needed, and accurate AR positioning and direction correction can be realized only by means of the equipment and known high-precision positioning point information, so that the hardware cost is reduced.

The invention discloses a flying bird micro-motion parameter extraction method based on laser micro-Doppler echoes, and belongs to the field of laser radar application detection and identification. The method comprises the following steps: step 1, establishing flapping wing motion models of a bird with multiple scattering points, a one-section flapping wing unmanned aerial vehicle and a two-section flapping wing unmanned aerial vehicle; 2, simulating to obtain time-frequency spectrums of the flying bird, the one-section flapping-wing unmanned aerial vehicle and the two-section flapping-wing unmanned aerial vehicle under different azimuth angles and pitch angles; and step 3, extracting identification micro-motion parameters of the bird motion model and the flapping-wing unmanned aerial vehicle motion model. According to the micro-motion parameter extraction method based on the frequency shift characteristic of the forearm of the flying bird, the length of the forearm of the flying bird, the wing flapping angle and the wing sweeping angle can be effectively estimated, and a brand new technology is developed for application of a laser micro-Doppler detection technology in target accurate detection and recognition.

The present invention relates to a method and apparatus for calculating and evaluating the loss of light collection efficiency of a heliostat. 【Solution means】The present invention simulates the pulsating wind load distribution of a heliostat at different elevation-azimuth angles by CFD calculation, extracts the aerodynamic admittance function and shape parameters, constructs a pulsating wind load spectrum prediction model, calculates the pulsating wind load spectrum by combining the attitude parameters of the heliostat, applies the pulsating wind load spectrum to the structural model of the heliostat mirror by finite element analysis, obtains the instantaneous dynamic response, displacement and strain distribution characteristics of the heliostat, simulates the influence of mirror deformation on the light reflection path, quantifies the instantaneous influence on the light collection efficiency of the deformed mirror, and generates a dynamic curve of the change of light collection efficiency over time.