82 results about "Field point" patented technology

The invention discloses a method and system for assimilating meteorological satellite hyperspectral error non-Gaussian distribution data based on quantum computing, and the method carries out the generalized quality control of meteorological satellite hyperspectral data in consideration of an outlier value on the observation brightness temperature and equivalent data of a satellite hyperspectral infrared detector channel. Comprising the steps of channel optimal selection considering quantum information entropy, deviation correction based on artificial intelligence generalized integration generation type deep learning and cloud detection based on a minimum residual method to remove cloud view field point data, so that quality control data is obtained. And performing quantum space solution on the quantum non-Gaussian increment four-dimensional variational assimilation model compatible with error Gaussian distribution and non-Gaussian distribution based on quality control data to obtain analysis field data, and solving the problem that the brightness temperature assimilation of the hyperspectral infrared channel with error non-Gaussian distribution (or obvious non-Gaussian characteristics) is limited in the prior art. Meanwhile, the method is high in solving speed, and the obtained analysis field data has good precision and calculation timeliness.

The invention provides a DCIM-based method for rapidly calculating a green function of a uniaxial anisotropic layered medium and an electromagnetic simulation system. The method comprises the following steps: modeling a uniaxial anisotropic layered medium to be simulated; determining a uniaxial anisotropic dielectric material of each layer, and assigning transverse parameters and longitudinal parameters; determining longitudinal coordinates of field point and source point distribution required to be solved, fitting a uniaxial anisotropic medium Green function spectral domain expression under the field source distribution by using a DCIM method, and solving an analytical expression in a spatial domain by using Somerfeld identical equation properties; solving the size of the electromagnetic field on the plane according to the fitted analytical expression; compared with a direct numerical integration method or a finite element method numerical solution using the Green function, the method has the advantages that the airspace analytical expression corresponding to the field source distributed on the plane is directly fitted, so that the solution of the airspace Green function is greatly accelerated, and the calculation efficiency and the calculation precision are both good in an actual example.

The invention relates to an airglow layer gravity wave spectrum temperature imaging system and a two-dimensional temperature field point-surface fusion inversion method. The airglow layer gravity wave spectrum temperature imaging system comprises a fine spectrum detection subsystem, a rotation temperature spectrum measurement subsystem and a large-view-field gravity wave imaging subsystem. The three subsystems are respectively provided with three progressively-increased field angles and carry out synchronous detection, a detection area and a detection target are organically cooperated, image and data processing is carried out in the later period, and the fine spectrum detection subsystem and the rotating temperature spectrum measurement subsystem carry out cooperative calibration, so that high-precision inversion of the atmospheric temperature can be realized. And the linear relation between the airglow radiation intensity and the atmospheric temperature is obtained. A small, medium and large field-of-view collaborative observation mode is adopted, and through a point-surface fusion detection method and a data inversion algorithm, a linear relationship between high-accuracy airglow radiation intensity constructed by single-point detection and atmospheric temperature is expanded and fused to an airglow radiation field with a horizontal two-dimensional resolution capability; therefore, the temperature field with the same detection precision and the horizontal two-dimensional resolution capability is obtained.

The invention discloses an automatic focusing method and system of a cell slide scanner, and relates to the related field of optical equipment focusing technology.The method comprises the steps that a slide is previewed and scanned, a multi-mode preview image and physical height sensing data are synchronously collected and preprocessed, and then the pre-processed image is obtained; the multi-modal preview image and the corresponding height data are input into a pre-training focus prediction model, a focusing strategy graph aligned with a slide coordinate space is output, and the graph comprises the predicted optimal focus offset, the focusing function recommendation identifier, the focus verification confidence coefficient and the search radius of each view point; according to the focusing strategy graph, a final focus is determined through feedforward positioning, limited verification and conditional adjustment, a scanner objective table is controlled to carry out formal scanning at the final focus position, and a complete scanning image of the cell slide is collected. The problems that a traditional focusing method is long in time consumption and poor in adaptability to complex samples with low contrast, high background fluorescence and scratch pollution are solved, and the adaptive capacity of the focusing process is improved.

The invention discloses a water surface ship radiation sound field prediction method in an underwater acoustic channel environment, and relates to the technical field of ship radiation sound field prediction, and the method comprises the steps: dispersing a ship body wet surface, and symmetrically mapping the dispersed ship body wet surface to a position above a water surface; acquiring an acceleration vector at a field point on the wet surface element, determining a fluid-solid coupling boundary condition, and determining a radiation sound pressure theoretical formula by using a ball source distribution method; constructing a virtual spherical surface, arranging a plurality of field points, and solving a radiation sound pressure theoretical value at each field point by using a radiation sound pressure theoretical formula; and according to the equivalent relationship between the radiation sound pressure of the directional point sound source at each field point and the radiation sound pressure theoretical value, determining the sound pressure parameter of each directional point sound source, and determining the far-zone radiation sound field of the ship in the underwater acoustic channel environment by using an underwater acoustic propagation calculation method. According to the method, the ship is equivalent to the spherical sound source and the directive point sound source, so that the calculation amount is greatly reduced, and rapid prediction of the near-region and far-region radiation sound fields of the ship is realized.

The invention relates to the technical field of image processing, and discloses a field surface water depth measuring method and system based on image intelligent identification. The method comprises the following steps: performing multi-period image acquisition and processing on a field to obtain preprocessed image data; inputting the preprocessed image data into a two-stage network for matching to obtain three-dimensional coordinates of the water gauge; segmenting based on the water gauge coordinates to obtain scale readings and water surface intersection point data; performing interpolation processing on the reading data and the field point cloud to obtain a water depth model, and performing decision analysis to obtain a heterogeneity distribution diagram and a diagnosis matrix; and inputting the distribution diagram and the matrix into a learning framework for optimization processing to obtain an irrigation control parameter set. The water gauge scale can be accurately identified by using an image intelligent identification technology under a complex field environment condition, high-precision automatic measurement of the field surface water depth is realized, and a measurement result and an irrigation control decision are organically combined to form an intelligent closed-loop management system, so that the utilization efficiency of irrigation water resources is improved.

The invention discloses a telescope installation and adjustment method, device and equipment and a medium, and relates to the technical field of optical installation and adjustment, and the method comprises the steps: obtaining an ideal wave surface diagram of a telescope to be installed and adjusted at a target field point through optical simulation software, and adding a plurality of misalignment amounts to the optical simulation software, extracting a plurality of corresponding maladjustment wavefront diagrams at the target view field point; according to the plurality of misalignment amounts and the plurality of misaligned wavefront diagrams, determining wavefront diagram sensitivities corresponding to the plurality of misalignment amounts, and combining the wavefront diagram sensitivities to obtain a wavefront diagram sensitivity matrix; an interferometer is used for collecting an actually-measured wave surface diagram of the telescope to be installed and adjusted at the target view field point, and wave surface diagram variable quantities caused by a plurality of misalignment quantities are determined through the actually-measured wave surface diagram and the ideal wave surface diagram; and based on the wave surface diagram variable quantity and the wave surface diagram sensitivity matrix, establishing a relationship between the target misalignment quantity vector and the actually measured wave surface diagram so as to determine the target misalignment quantity vector, and carrying out adjustment operation on the telescope to be adjusted according to the target misalignment quantity vector.

The invention relates to a point cloud boundary segmentation method and system for a tooth color three-dimensional digital model, and the method comprises the steps: carrying out the gamma correction of a tooth HSV color model, and obtaining a point cloud with the local contrast enhancement of a V channel of an original point cloud HSV color model, and a seed point as a boundary line; obtaining and calculating the similarity between each field point and the seed point according to the feature information of field points in a certain field range of the seed point, and taking the points of which the similarity is greater than a preset similarity threshold as boundary points of the boundary line; after performing quality evaluation on the boundary points of the boundary line, dynamically adjusting the weight of gamma correction until the boundary points of the boundary line under the optimal quality evaluation are obtained; and obtaining a closed boundary line according to the finally obtained boundary line points. The method fully reduces noise interference by fusing multiple features such as color, normal and curvature, effectively improves the accuracy and stability of boundary segmentation in combination with dynamic weight, reduces the cost of manual parameter adjustment, and is suitable for point cloud data under different illumination and geometric conditions.

The invention discloses a seismic oscillation time history field generation method based on three-component broadband simulation data, and the method comprises the steps: collecting three-component seismic oscillation time history data recorded by a station, generating the three-component seismic oscillation time history data of a target field point through a simulation method, and constructing a three-component seismic oscillation time history data set through the combination of the recorded data and the simulation generated data; constructing a spatial-temporal feature extraction module based on a ConvLSTM3D neural network, wherein the spatial-temporal feature extraction module is used for extracting spatial-temporal features in the seismic oscillation time history data; constructing a seismic oscillation time history space-time prediction model based on a space-time feature extraction module and an LSTM neural network; training a seismic oscillation time-history space-time prediction model by adopting the three-component seismic oscillation time-history data set; and generating a seismic oscillation time-history characteristic time sequence of the sparse region target field point through the trained seismic oscillation time-history space-time prediction model, and further generating a sparse region seismic oscillation time-history field model. Limited stations are fully utilized to record data, and the three-component seismic oscillation time history of a large-scale field point is quickly generated.

The application discloses a ground three-dimensional laser scanning point cloud collection system and relates to the field of three-dimensional point cloud data processing of the ground; the size of data input is 10 square meters; a KPConv algorithm is improved; the characteristics of each input point are expanded; Max Pooling is used to aggregate the relative position and the Euclidean distance of the field points and the center point; Average Pooling is used to aggregate the field characteristics of each point extracted through the multi-layer KPConv into global characteristics; and a set of point cloud visualization websites is deployed by using WebGL.

The application discloses a kind of high-power microwave near-field radiation field intensity distribution test methods, comprising: constructing the field point grid for representing high-power microwave near-field, by obtaining field intensity gradient step and gradient coefficient, the field intensity discrete data of field point grid is calculated, and after difference estimation, the radiation field intensity distribution of the high-power microwave near-field is represented;The field intensity of grid uniform point distribution method test is used as initial field point data, the radiation field intensity gradient distribution is calculated, and then the gradient coefficient of each grid is calculated, and the grid encryption of three levels is carried out to different grids, according to the grid arrangement field intensity test point after encryption, the field intensity discrete data of each field point is obtained.Kriging space interpolation algorithm is used to carry out interpolation estimation calculation to the field intensity discrete data obtained by grid gradient encryption point distribution test, linear unbiased optimal estimation is carried out to known field intensity data sample in limited domain, and finally the continuous high-power microwave near-field radiation field intensity distribution diagram is obtained.

The present invention relates to an airglow layer gravity wave spectral temperature imaging system and a two-dimensional temperature field point-surface fusion inversion method, comprising a fine spectrum detection subsystem, a rotational temperature spectrum measurement subsystem, and a large-field-of-view gravity wave imaging subsystem. The three subsystems are each provided with three increasing field-of-view angles and perform synchronous detection. The detection area and the detection target are organically coordinated. Later, through image and data processing, the fine spectrum detection subsystem and the rotational temperature spectrum measurement subsystem are collaboratively calibrated to achieve high-precision inversion of atmospheric temperature and obtain a linear relationship between airglow radiation intensity and atmospheric temperature. Using small, medium, and large field-of-view collaborative observation modes, and through a point-surface fusion detection method and a data inversion algorithm, the highly accurate linear relationship between airglow radiation intensity and atmospheric temperature constructed by single-point detection is expanded and fused to an airglow radiation field with horizontal two-dimensional resolution, thereby obtaining a temperature field with the same horizontal two-dimensional resolution of detection accuracy.

According to the turning lens test method and system provided by the invention, a collimator can rotate in a rotation plane by taking an entrance pupil point of a to-be-tested turning lens as a center, and the rotation plane can rotate around an incident optical axis of the to-be-tested turning lens, so that measurement of any field of view point is realized, and a detection lens can realize three-axis high-precision movement, so that the detection precision is improved. The objective of detecting the whole image surface and performing out-of-focus detection on any view field point is achieved, the measurement problem of a non-rotational symmetry optical system can be solved, and various optical specifications of the bent lens can be effectively detected.

The invention discloses a sound field calculation method fusing ridge estimation-truncated singular value method, and the method comprises the steps: 1) constructing an acoustic inverse problem solving model based on an inversion formula of sound source intensity Q; 2) inputting the measured sound pressure column vector PH into an acoustic inverse problem solving model, and solving the acoustic inverse problem solving model by using an RE-TSVD algorithm to obtain sound source intensity; and 3) predicting the sound pressure of any field point according to the sound source intensity and the transfer matrix from the equivalent source point to the target field point. According to the method, side lobe interference can be effectively suppressed, main lobe information of a larger sound field is reserved, and the method has better sound source recognition and positioning performance.

The application relates to the technical field of power detection, and discloses a power equipment medium identification method based on digital-analog driving, which comprises the following steps: constructing an equipment geometric field and arranging boundary measuring points; obtaining physical quantity and normal derivative data of the measuring points through non-invasive measurement and fitting; based on a physical control equation, unknown medium parameters are converted into equivalent source terms through standardization and an equivalent source method, and then the boundary integral equation is converted into the boundary integral equation through a boundary element method, so that the measurement data and the internal source terms are associated; a surface quadrature neural network is constructed, the field point coordinates and the boundary data are taken as inputs, the internal equivalent source term distribution is output, and a loss function is constructed based on the boundary integral equation to train the network; real-time data are calculated forwardly by using the trained network, the equivalent source terms are obtained, and the medium distribution is inversed, the application provides the power equipment medium identification method based on the digital-analog driving, which can quickly judge the cause of the internal condition of the equipment and perform tracing and positioning.

A multiplexing adaptive optics method for deep-tissue imaging is provided, comprising: providing a first optical beam and a group of second optical beams, each with lower intensity and distinct modulation frequencies; combining the beams with temporal overlap to form a composite excitation beam; focusing the composite beam into a sample such that the second optical beams are laterally separated in the focal plane; detecting a signal excited by the composite beam; demodulating the signal with reference frequencies to compute phase and amplitude data at each modulation frequency and obtain a second signal; performing spatial measurements of the first beam relative to the second beams to derive down-sampled electric-field point spread functions; and merging the functions to reconstruct a full-sampled point spread function for identifying and correcting optical aberrations within the sample.

The present invention discloses a method for predicting the near-field radiation of an array antenna based on polarization vector synthesis, comprising the following steps: 1) constructing a unit characteristic characterization matrix for the antenna units of the array antenna; 2) constructing an array configuration description matrix for the array antenna based on the unit characteristic characterization matrix; 3) setting array frequency, radiation power, and radiation efficiency parameters; 4) projecting the source polarization vector from the unit local coordinate system to the array global coordinate system; 5) calculating the projection of the source polarization vector at the field point based on the position of the field observation point; 6) decomposing the projection of the source polarization vector at the field point to calculate the horizontal polarization coefficient and the vertical polarization coefficient; 7) calculating the horizontal polarization field, the vertical polarization field, and the total field at the field point. By adopting an analytical calculation model for the radiation field based on polarization vector synthesis, the present invention achieves higher computational efficiency in predicting the near-field radiation of an array antenna compared to the full-wave method.

The invention belongs to the technical field of robots. According to the autonomous following method and system of the leg-foot robot, the leg-foot robot provided with a laser radar communicates with a to-be-followed mobile terminal, the leg-foot robot and the mobile terminal carried by patrol personnel are each provided with a UWB module, a target point of the mobile terminal is converted into a robot coordinate system, and then the robot coordinate system is started; the method comprises the following steps: carrying out downsampling on laser radar three-dimensional point cloud voxels, screening near-field points, filtering heights, projecting into a two-dimensional obstacle boundary point set, and expanding obstacle points; and taking a minimum value by combining the lateral safety threshold value and the same-direction safety threshold value to obtain an effective safety distance, judging the reachability of a target point, and selecting an optimal middle point from an obstacle gap to generate a track when the target point is safe. According to the method, the autonomous following stability and safety of the leg-foot robot in a complex environment are improved, the calculation load is reduced, and the path planning rationality is enhanced.

The invention relates to a projection optical unit for microlithography and a method for producing a structured component. The projection optical unit for microlithography comprises a plurality of mirrors for guiding imaging light (301, 510, 601, 701, 801) along an imaging beam path from an object field (5) located on an object plane (OP) to an image field (9) located on an image plane (IP), wherein the numerical aperture (NA) has a value greater than 0.5, wherein the plurality of mirrors comprises at least three mirrors for grazing incidence (GI mirrors) which deflect the chief ray of a central object field point at an angle of incidence greater than 45°, wherein the beam from the object field to the image field passes through the projection optical unit (7, 300, 500, 801) in operation. 600, 700, 800) are rotated by different rotation angles in their polarization directions due to geometric polarization rotation, wherein the projection optical unit comprises a first group of reflectors (A) and a second group of reflectors (B), the second group of reflectors being composed of the last two reflectors (Mn‑1, Mn) of the plurality of reflectors on the image side, wherein the linear part in the pupil dependence of the total geometric polarization rotation (|Z3A+Z3B|) of the projection optical unit is less than 20% of the linear part in the pupil dependence of the geometric polarization rotation (|Z3B|) of the second group of reflectors.

A method for evaluating measured values of projection lens (22) aberration(s) determined at plural field points in a field plane of the projection lens which has a plurality of optical elements (E1-E4) guiding exposure radiation and an optical element manipulator system (M1-M4) for carrying out a rigid body movement. The method includes: providing a fit function (62) having a polynomial function (64) that depends on the spatial coordinates defining a field plane and a rigid-body-sensitivities (70) term (66) for multiple locations in the field plane each describing a dependence of the aberration (63) on a degree of freedom of movement (68) at the relevant locations that is controllable by the manipulator system. The method further includes extrapolating the measured values (50) determined at the plural field points (52) to further field points (56) of the projection lens by fitting the fit function to the determined measured values.

The application provides a liquid tank strong dynamic load pressure field reconstruction and global safety evaluation method, comprising the following steps: S100, establishing a three-dimensional coordinate system of the liquid tank, obtaining actual impact point coordinates and field point position coordinates, and calculating the Euclidean distance of wave front propagation and the deflection angle relative to the ballistic axis; S200, constructing a pressure field model containing anisotropic angle modulation terms and distance attenuation terms, and introducing a fluid-solid coupling phase shift parameter in the anisotropic angle modulation terms; S300, determining the optimal eigenvalue of the fluid-solid coupling phase shift parameter by minimizing the prediction error through an optimization algorithm, so as to represent the wave front lag or distortion effect of the shock wave when propagating in the limited liquid medium; S400, generating a normalization factor based on the nonlinear transfer function solved out of the optimal eigenvalue η , performing cleaning of experimental data; or directly calculating the impact pressure estimation value at the weak point based on the perceived impact point and the preset virtual point coordinates to perform structure safety evaluation.

The present invention provides a Stokes modulation Fourier transform polarization imaging spectrometer, comprising: a telescopic system, a polarization modulation system, a converging system, a polarization interference system and an imaging system; the target light field emitted by the target scene is incident on the telescopic system, and after passing through the telescopic system, the target light field is collimated into a parallel light field and incident on the polarization modulation system; the parallel light field is subjected to polarization modulation by a high-order phase retarder to obtain a modulated light field, and then a linearly polarized light field is obtained after passing through a polarizer, and the linearly polarized light field is incident on the converging system; the converging system is used to converge the linearly polarized light field and then incident on the polarization interference system to obtain a polarization interference image; by performing a step scan on the target scene, each field point of the target scene sequentially traverses each step of the multi-level micromirror to obtain a polarization interference image data cube; by extracting the interferograms of each field point and performing a Fourier transform, the spectral information of each Stokes parameter in each field is finally demodulated.

The application belongs to the technical field of marine monitoring, and discloses a wave spectrum analysis method and system based on a laser radar.The method comprises the following steps: obtaining a plurality of concentric circles in the obtained wave field point cloud data; matching the discrete time domain signals of the wave height corresponding to the concentric circles and the derivative of the wave height with respect to time, and calculating the discrete values of the amplitude of the wave spectrum with respect to frequency; calculating unknown parameters in a directional spread function; and multiplying the discrete values of the amplitude of the wave spectrum with respect to frequency and the spread function to obtain the discrete values of the directional spectrum in frequency and direction, i.e., realizing the analysis of the wave spectrum. Through the application, the problem of realizing the analysis of the wave field spectrum and the directional spectrum by using point cloud data in the analysis of the wave field is solved.

A method of determining optical properties of an optical system having an illumination system to illuminate an object field and a projection system to image the object field into an image field, comprises: providing an illumination of the object field via an illumination pupil comprising a plurality of pupil spots; providing an optical element with an optical surface comprising a plurality of shifting optical areas which effect an individual direction shift, depending on the respective shifting optical area, of an illumination beam entering the respective shifting optical area; calibrating the individual direction shift by measuring a pupil spot shift resulting from the shifting optical areas via a measuring pupil in the illumination beam path after the optical element for each of the pupil spots for a plurality of separate field points within the object field; and calculating the optical properties to be determined from the measured pupil spot shift.

The invention provides a motion posture determination method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of computer vision. Dividing the first to-be-processed point cloud to obtain a first object point cloud set for representing a target object and a field point cloud set for representing a sports field; in response to the fact that the distance between the point with the minimum target dimension value in the first object point cloud set and the target plane is smaller than a first preset threshold value, the collection moment of the first to-be-processed point cloud is determined as the motion starting moment of the target object; according to the angle of the fitting line segment of the first object point cloud set relative to the target plane, determining the motion posture of the target object at the motion starting moment; the fitting line segment is obtained by performing linear fitting on the first object point cloud set.

The invention relates to the technical field of seismology, and provides a near fault pulse type seismic motion synthesis method considering seismic source characteristics, which comprises the following steps: 1) obtaining seismic motion horizontal component coherence coefficients among field points; 2) constructing a power spectrum matrix between field points; 3) decomposing the power spectrum matrix, calculating to obtain an amplitude and a phase angle, and synthesizing a stable seismic oscillation time history by adopting a trigonometric series method; 4) synthesizing stationary seismic oscillation by using a non-stationary modulation function; 5) predicting pulse occurrence probabilities corresponding to parallel and vertical fault components at the design position of the near fault region; 6) calculating to obtain a pulse period, a pulse amplitude, a pulse shape parameter, a pulse phase angle and a pulse peak arrival time corresponding to the horizontal component, and synthesizing a low-frequency velocity pulse time history of the horizontal component; and 7) superposing the synthesized non-stationary seismic oscillation time history corresponding to the same horizontal component and the equivalent velocity pulse on the time history. The method can better perform seismic oscillation synthesis.

This invention relates to a method and system for reconstructing airfoil flow fields based on boundary observation guidance and interpolation residual correction. The method includes the following steps: S1: Acquire airfoil geometry, operating parameters, flow field query points, and sparse field observations and / or sparse surface pressure observations; S2: Generate observation value channels and observation mask channels to form field point node features and boundary node features; S3: Construct a field point map and perform spatial neighborhood message passing; S4: Construct a boundary observation map and propagate airfoil geometry and surface pressure information; S5: Selectively inject boundary observation representations into field point representations through gated boundary-to-field point fusion; S6: Construct interpolation priors, predict residual correction amounts using graph networks, and obtain a complete high-resolution airfoil flow field through replacement. This invention can uniformly handle flow field super-resolution, surface pressure-assisted reconstruction, and hybrid observation reconstruction, reducing observation and computation costs and improving reconstruction accuracy in unobserved and near-wall regions.

The application relates to a kind of asteroid surface escape velocity calculation method considering rotation and terrain influence, comprising: obtaining the three-dimensional shape model of target asteroid and carrying out discrete, reading the vertex set and triangular facet set of polyhedron, carrying out gravity field modeling, establishing standard polyhedral gravity model;Define the logarithmic kernel function of each edge of each triangular facet, to determine the gravitational potential of target asteroid on any field point;Establish star-fixed coordinate system in standard polyhedral gravity model, determine the rotation speed of any point on the surface of target asteroid, thereby define the effective potential upper bound and the inertial system speed of the release instant of the particle on the surface of target asteroid;Based on the minimum escape condition that the kinetic energy of the particle on the surface of target asteroid is equal to the corresponding effective potential upper bound, determine the minimum normal escape velocity of the particle. Compared with the prior art, the application can quickly obtain accurate minimum escape velocity and corresponding escape direction at any surface point.

The invention discloses a method for automatically searching a crane station, which belongs to the technical field of cranes, is used for crane station selection, and comprises the following steps: carrying out preliminary selection on the crane station according to vectorized field photogrammetric data to obtain a selectable set of the crane station; detecting the feasibility of the optional set of the filtered crane stations on the basis of the field site cloud data to obtain feasible crane stations, and performing collision check detection during secondary hoisting on each feasible crane station on the basis of the field site cloud data and crane parameters in the feasible crane stations to obtain a unique feasible crane station. According to the method, a standardized decision-making model and a quantitative analysis system are established, so that the dependence on personal experience is effectively reduced, and the scientificity and consistency of a station scheme are improved; automatic data processing and an intelligent algorithm are adopted, site parameters and equipment information are rapidly analyzed, and the scheme making period is greatly shortened.

The present invention relates to the field of medical visual perception technology, and specifically to a highly immersive visual perception method, system, and storage medium for a surgical robot, comprising the following steps: collecting preoperative three-dimensional images, and reconstructing them to obtain a three-dimensional model of the surgical scene; collecting the real-time scene during the operation through a binocular camera to obtain a binocular image of the intraoperative scene, and using a semi-supervised binocular image depth estimation model to perform binocular image depth estimation to obtain an intraoperative scene depth map; generating an intraoperative field point cloud from the intraoperative scene depth map, and reconstructing the three-dimensional model of the intraoperative scene; aligning the three-dimensional model of the intraoperative scene with a three-dimensional model of the surgical scene, and superimposing the aligned three-dimensional model of the surgical scene onto the real-time intraoperative scene through holographic projection to obtain a highly immersive visual scene during the operation. The present invention collects real-life intraoperative scene information and integrates it with preoperative image information to enhance visual perception of the surgical scene, providing doctors with advanced visual perception of organ occlusion areas and complete information within soft tissues.