30 results about "Horizontal and vertical" patented technology

The invention belongs to the technical field of ultra-precise angle measurement, and discloses a three-dimensional angle measurement device and method based on wavefront interference fringes. According to the invention, two wavefront interference light spots are generated by using two paths of detection laser in a single interference measuring head with only a single coordinate reference, the spatial frequencies of respective fringe images in the horizontal and vertical directions are respectively calculated, and simultaneous decoupling is carried out so as to accurately measure the pitching, deflection and rolling angle deviations of the reflector. According to the three-dimensional angle measurement device, point-to-point three-dimensional angle measurement can be achieved, the measurement resolution is high, the measurement result can be directly traced to the laser wavelength, and the requirement of high-end equipment for ultra-precise three-dimensional angle measurement is met.

The invention relates to an aircraft flight path planning method based on inertial navigation, and the method comprises the steps: obtaining the coordinates of M route points on the total flight path of an aircraft, the total flight path of the aircraft comprises the flight path of M + 1 segments, and each segment is provided with a plurality of sub-segments; constructing an independent variable of a target function according to an item representing a remaining voyage corresponding to a point on the track of the segment, an item representing a remaining voyage corresponding to a starting end point of the track of the target segment, and an item representing a remaining voyage corresponding to an ending end point of the track of the target segment; constructing the target function according to the independent variable of the target function, the item representing the coefficient of the segment and the item representing the primary function; according to the coordinates of the M waypoints, based on the inter-segment transition condition of the objective function, solving a total coefficient set including the coefficient set of each segment; and according to the objective function and the total coefficient set, determining a horizontal and vertical coordinate corresponding relation set of each segment so as to determine the track of each segment.

The application discloses a metal detection method for real-time correction of product state, comprising: collecting a detection point set of a measured product when the product passes through a probe and calculating a geometric center; extracting a main feature vector and a secondary feature vector orthogonal to the main feature vector based on an Euclidean distance; rotating and aligning in the direction of the main vector and extracting main / secondary direction components after rotation, taking the components and an angle between the main vector as features for recording and caching; calculating an effective average rotation angle and horizontal and vertical judgment thresholds based on a number of qualified records in the cache; translating the point set of a product to be measured and rotating to an aligned coordinate system according to the effective average angle, and comparing the point set after rotation with the effective threshold to determine whether the product is qualified or not. The method realizes online adaptive updating of the threshold based on the nearest qualified sample, can correct in real time under the condition of no shutdown along with the slow change of the product state, reduces false positives and maintains detection sensitivity.

This invention discloses a method for evaluating the quality of marine controlled-source electromagnetic data, belonging to the field of data quality evaluation technology. The method includes: projecting the acquired marine controlled-source electromagnetic data onto a two-dimensional plane, whereby the real and imaginary parts of the data signal are projected onto the horizontal and vertical coordinates to obtain the data distribution; performing cluster statistics on the data distribution using the K-medoids clustering method to obtain cluster centers; and using the cohesion (CP) calculation formula to perform aggregation degree analysis on the data distributed according to the cluster centers to obtain the data quality assessment result. This invention can directly quantify and evaluate data based on the cohesion of the electromagnetic data distribution characteristics, without defining empirical functions, requiring no specific data volume, and is unaffected by fly-spot data, thus improving the applicability and accuracy of the evaluation method.

The invention discloses a surface topography detection probe device and method based on active deflection compensation, and the device comprises an up-down displacement measurement module which is used for carrying out the measurement of the vertical displacement of a contact probe through a split type multi-polar-plate capacitive sensor structure; the up-and-down force balance control module and the up-and-down displacement measurement module form a second closed-loop control system and are used for controlling the contact force between the contact pin and the surface of the sample to be constant; the front and back deflection measurement module is used for detecting the deflection amount of the contact pin in the scanning direction; the front-back deflection control correction module and the front-back deflection measurement module form a first closed-loop control system and are used for calculating required correction torque through a closed-loop control algorithm and applying reverse driving force to counteract deflection caused by shearing force, and the two closed-loop systems work cooperatively to control the probe in the horizontal direction and the vertical direction. The problems that when an existing probe scans a complex shape, a track deviates due to shearing force, and the signal-to-noise ratio of displacement measurement is insufficient are solved.

The invention discloses a virtual gift guiding method and system fusing AR navigation and LBS, particularly relates to the technical field of augmented reality, and is used for solving the problem that a user is difficult to position targets at different height levels due to lack of guidance in the vertical direction in a complex three-dimensional space in existing augmented reality navigation. Height data of a user and a target position are obtained and fused, a height difference is calculated, and the matching degree between the change trend of the height difference and the vertical motion intention of the user is analyzed, so that joint reasoning is intelligently triggered; further identifying a channel connected with a vertical layer, and evaluating the visual discoverability of the channel and the spatial cognitive state of the user; and finally, dynamically selecting a visual coding strategy based on an evaluation result, and generating and rendering a composite virtual guidance element which integrates horizontal and vertical direction guidance in an augmented reality interface, so that visual and accurate full-dimensional space navigation is realized.

This invention discloses an automatic finite element modeling method and system based on construction drawings. The method includes: automatically outputting unannotated construction drawings as annotated ones using a computer vision-based construction drawing recognition module; assigning horizontal and vertical axis numbers and 3D coordinate information to each building component on the annotated construction drawings using a grid dimension recognition module; automatically recognizing and fusing the dimensional information of each building component on the annotated construction drawings with their assigned horizontal and vertical axis numbers and 3D coordinate information using a large language model as an automatic modeling module; naming and assigning material properties to each building component in the 3D geometric model; and automatically creating a visualized finite element model based on the construction drawings by assigning support constraint information and load information to the 3D geometric model. This invention has the advantages of high modeling efficiency, high quality, and replacement of manual labor.

This invention discloses a coordinate transformation method for lane line recognition. Based on a high-quality image acquisition system and the analysis and derivation of the world coordinate transformation algorithm in lane line recognition, it further analyzes and derives the transformation method between the image coordinate system and the camera coordinate system regarding the horizontal and vertical coordinates, and points out existing problems and optimization directions in the coordinate transformation algorithm. To simplify the coordinate transformation calculation, a coordinate transformation method based on tanγ0 calibration is derived. Six methods for tanγ0 calibration are proposed, and the optimal method is selected for calibration. Substituting the tanγ0 calibration value into the transformation formula achieves the coordinate transformation function for lane line recognition. Finally, the transformation method is tested, and hardware installation suggestions for improving coordinate transformation accuracy are given, effectively improving the accuracy and real-time performance of coordinate transformation, thereby improving the accuracy of automatic lane line recognition.

A system is provided.SOLUTION: A system comprising means for collecting position information (latitude, longitude, and altitude) every hour from a plurality of base stations installed all over the country, means for comparing the collected position information with previous position information and calculating horizontal and vertical displacement of the ground, means for inputting the calculated displacement data of the ground to a generative AI model and analyzing correlation with past earthquake data to predict an earthquake, means for notifying a self-governing body or a weather forecast service provider of a prediction result, and means for storing the prediction result in a database and archiving it in an analyzable form later.SELECTED DRAWING: Figure 1

This invention relates to the field of pattern recognition technology, specifically to a method and system for identifying the state of porcelain insulators. The method includes the following steps: collecting pixel features from the surface of the porcelain insulator, screening and establishing a bright coordinate sequence, extracting a set of stripe center points, linearly fitting the horizontal and vertical coordinates to generate an ideal projection reference, comparing the deviation span with the damage boundary, locating surface defects, and obtaining the identification result. In this invention, by screening pixel features according to a set boundary to establish a bright coordinate sequence, integrating the sequence to extract a set of stripe center point coordinates, performing linear fitting on the horizontal and vertical coordinates of the center points to generate an ideal stripe projection reference, comparing the deviation span of each coordinate from the reference, and filtering out two-dimensional row and column coordinates exceeding the judgment limit, the comparison mechanism of directly constructing an ideal projection reference from the bright feature structure of the porcelain insulator effectively avoids external background interference and the drawbacks of overall texture averaging, enhancing the sensitivity of porcelain insulator state identification and achieving accurate location of the actual distribution of surface defects.

Provided is a method of calculating high-resolution three-dimensional wind numerical information considering detailed topographic information, the method performing, when the wind numerical data of the operational LDAPS model is calculated (S100), a downscaling process based on the detailed topographic information using the wind numerical data as an input data, wherein the downscaling process performs a preprocessing process of converting a coordinate system and interpolating horizontal and vertical numerical data (S200), performs a process of adjusting roughness lengths (S300), correcting heights (S400), and correcting a subgrid-scale terrain drag effect (S500) on the basis of the detailed topographic information, and finally generating data that has gone through each of the processes as high-resolution wind numerical data (S600).

The invention discloses a sugarcane lodging identification method, device and equipment based on mottle characteristics of a remote sensing image, and relates to the field of remote sensing image processing, and the method comprises the steps: collecting a multispectral remote sensing image in a research region; classifying pixels in the multispectral remote sensing image by adopting a pre-trained first machine learning model, and determining a sugarcane planting area in the multispectral remote sensing image; calculating canopy coverage according to the category of each pixel in the sugarcane planting area; performing section line analysis on the sugarcane planting area along the horizontal direction and the vertical direction respectively to determine mottle characteristics; the mottle characteristics comprise the maximum background wavelength in the horizontal direction, the maximum crest number in the vertical direction, the crest period variance in the vertical direction and the crest width variance in the vertical direction; and determining the lodging state of the sugarcane in the research area by adopting a pre-trained second machine learning model according to the canopy coverage and mottle characteristics. According to the invention, the identification efficiency and precision of the sugarcane lodging state are improved.

The present application relates to geotechnical engineering technical field, especially to a kind of active non-limit state under the calculation method of sliding surface of finite width soil body, comprising the following steps: step 1, determine the gradual development law of internal friction angle, cohesion, wall-soil external friction angle and wall-soil interface cohesion in finite soil body between rigid gravity retaining wall and existing bedrock with retaining wall displacement development, establish the mathematical representation of the strength parameters of finite soil body non-limit state with retaining wall displacement development;Step 2, establish the relationship between horizontal stress, interlayer shear stress and average vertical stress;Step 3, establish the balance equation of rectangular area and triangular area in horizontal and vertical directions;Step 4, solve the sliding surface inclination angle that meets the plastic upper limit theorem by numerical method;Step 5, calculate the horizontal active earth pressure resultant force, the overturning moment generated by horizontal active earth pressure on wall heel.The present application provides theoretical calculation basis for the design of retaining structure under the working condition of finite width soil body.

This specification provides an AR information visualization annotation method and apparatus based on LBS and image recognition, comprising: responding to a user sending AR message information via a mobile phone, obtaining the latitude and longitude of the current AR message sending location through location-based services (LBS), and determining the latitude and longitude coordinates; establishing a three-dimensional coordinate system with the camera position as the origin, adjusting the camera to the direction of the AR message sending location, and determining the horizontal and vertical rotation angles between the current camera direction and the starting direction; obtaining the horizontal and vertical rotation angles, determining the endpoint coordinates of the message location using trigonometric functions, and generating AR message information at the endpoint coordinates. By combining virtual and real scenes, the accuracy of information annotation location is improved, and the operation is simple and recording is fast.

The invention discloses a Mars probe entry trajectory two-dimensional error band modeling method and system. The method comprises the steps that kinetic model parameters and nominal trajectory data are acquired; establishing a discrete state error covariance recursion model through a linear covariance analysis algorithm to obtain a discrete state error covariance matrix; constructing a continuous state error covariance estimation model through time factor linear interpolation to obtain a continuous state error covariance matrix; constructing a position error elliptic model by extracting position error information; constructing a two-dimensional error band by dynamically generating an error boundary fitting a non-linear trajectory; through transverse and longitudinal normalization processing of the two-dimensional error band, a normalization range index is constructed, and the influence of different error sources on the uncertainty of the entry section trajectory of the Mars probe is quantified. According to the invention, the trajectory prediction precision and the robustness of the guidance system are significantly improved.

The invention discloses a stability monitoring device for a snow layer, and the device comprises monitoring rods which are arranged on the snow layer in an array manner, and each monitoring rod is provided with a plurality of sensors in the vertical direction; the communication module is in communication connection with the plurality of sensors; the processing module is in communication connection with the communication module so as to receive monitoring data of the plurality of sensors; wherein the processing module is adapted to be capable of determining the snow layer where the sensor is located and coordinate points according to the horizontal coordinate position, the vertical coordinate position and the vertical coordinate position of the sensor, and then the stability condition of the snow layer is judged according to monitoring data of different coordinate points in the same snow layer. Compared with the prior art, the snow conditions at different positions in the same snow layer can be monitored and determined, and the monitoring accuracy is high. And according to the stability analysis of each snow layer, the risk condition of the snow condition can be finally analyzed and obtained.

This invention discloses a method for predicting the pose error of a machine tool slide and the force on the slider, specifically for a double-guide-rail, four-slider linear motion system. First, a unified geometric and mechanical model of the system is established. The guide rail is abstracted as a continuous, smooth curve in space, and the interface between the guide rail and the slider is assumed to be continuous, uniform, and linearly elastic, with constant stiffness coefficients per unit length in both directions. The slide and guide rail are considered rigid bodies. Then, based on the model, the system is decoupled between the horizontal and vertical planes, using the position and attitude errors of the slide as generalized coordinates. Based on deformation compatibility conditions and the principle of minimum potential energy, a balance equation is established between the slide pose error caused by the guide rail contour error and the force on the slider. Solving this equation yields the slide pose error, which is then substituted into the slider force expression to obtain the force and torque distribution of each slider. This method enables the prediction of the multi-degree-of-freedom pose error of the slide and the force state of each slider throughout its entire stroke.

The invention provides an inertial navigation alignment precision verification method based on an optical method and suitable for an inclined state. The inertial navigation alignment precision verification method comprises the following steps: rigidly connecting inertial navigation and a hexahedron serving as a reference; establishing a datum reference coordinate system based on the hexahedron, and establishing an inertial navigation body measurement coordinate system in the test based on inertial navigation; establishing an error estimation model without horizontal and azimuth references by utilizing bidirectional optical measurement at horizontal and vertical positions, and calibrating a mounting misalignment angle between an inertial navigation body measurement coordinate system and a datum reference coordinate system; taking inertial navigation and a hexahedron as an operation object, adjusting the operation object to a precision verification position on the basis of the horizontal or vertical position, carrying out optical measurement at the precision verification position, calculating an attitude conversion relation of the datum reference coordinate system relative to the navigation coordinate system by utilizing an optical measurement result, and combining installation misalignment angle compensation to obtain the precision of the navigation coordinate system. And obtaining an inertial navigation attitude result under the optical measurement condition, and comparing the inertial navigation attitude result with an inertial navigation initial alignment result to realize calculation and evaluation of an attitude error angle.

The embodiment of the invention provides a shear wave velocity prediction method and device for a heterogeneous fractured reservoir and electronic equipment. The method comprises the steps of performing two-dimensional Fourier transform on a spatial autocorrelation function to obtain a corresponding power spectrum function; performing phase randomization on the power spectrum function to generate a frequency domain random field; performing inverse Fourier transform on the frequency domain random field to generate a spatial random field; the mean value and the standard deviation of the initial fracture density are determined based on the logging data, the spatial random field is converted into a fracture density random field based on the mean value and the standard deviation of the initial fracture density, and the fracture density random field represents spatial distribution of fractures in the horizontal direction and the vertical direction; and constructing a saturated fracture rock physical model based on the fracture density random field and predicting the shear wave velocity. Meanwhile, the heterogeneous characteristics in the horizontal direction and the vertical direction are considered, more accurate parameters are provided for rock physical modeling, more real fracture density distribution is provided, and therefore prediction is closer to the actual value.

The invention discloses an auxiliary indoor environment geophysical prospecting straight measuring line lofting device, which comprises a reference positioning module, a base supporting module and an adsorption fixing module, the base supporting module is arranged on the adsorption fixing module, and the reference positioning module is arranged on the base supporting module. The lofting method comprises the following steps: S1, setting object detection line extension and recording the length; s2, drawing storage and transmission; s3, measuring the orientation of the extension line; and S4, clearly arranging a scene and determining a use mode. The orientation and path of the straight measuring line can be rapidly determined, calibration can be carried out in an inclined and uneven house environment in cooperation with a horizontal bubble, the horizontal and vertical states of the lofting device provide an accurate reference for arrangement of the straight measuring line, and the problem that the error of manual reference positioning is large is solved. The problem that an existing device is difficult to fix in a complex environment is solved. According to the invention, the problems of light propagation and guidance under the condition of wall shielding in plants, houses, hotels and the like can be solved.

The invention relates to a beach terrain bidirectional laser scanning measurement system and a measurement method for a water tank experiment, and a two-dimensional coordinate point set determined by horizontal and vertical laser is accurately obtained through a platform which moves above a water tank and carries a bidirectional laser ranging system. According to an abnormal terrain response and remeasurement mechanism based on real-time gradient judgment, data anomalies and outliers caused by instantaneous interference can be automatically recognized and corrected. The underwater laser autonomous refraction correction method under the non-drainage condition is innovatively provided, and high-precision underwater topographic data can be directly obtained under the condition that drainage is not needed and an additional water level sensor is not needed. And finally, introducing a bidirectional back-and-forth scanning data fusion mechanism based on interpolation alignment and averaging so as to reconstruct and track the evolution process of the coast profile along with time. The system has the advantages of high precision, high versatility and automatic data processing capability, can adapt to amphibious scenes, reduces the workload of testers, and improves the overall efficiency of the test at the same time.

The invention provides a method and device for performing automatic temperature compensation on an FLS virtual beam, and the method comprises the steps: obtaining the data information of a constructed FLS virtual beam, including the original MSL height information of an FAF point and an MAP point, and a glide path angle, calculating the corrected height of the FAF point and the MAP point after temperature compensation through an iteration mode according to the elevation of a landing airport and the external air temperature OAT, and obtaining the corrected height of the FAF point and the MAP point after temperature compensation. And calculating a gliding path angle after temperature compensation according to the corrected height. The FLS virtual beam after temperature compensation correction can be used for further calculating horizontal and vertical deviation guidance instructions. According to the method, the unexpected deviation of the actual track and the expected track in the FLS approaching process caused by high and low temperature scenes is effectively avoided, the minimum obstacle crossing redundancy required by a flight program is ensured, the temperature limitation of flight program operation is expanded, the flight risk is reduced, and the unit load is effectively reduced.

This application relates to a method, apparatus, device, and medium for multi-target pig trajectory tracking and control. The method includes: extracting historical orientation angles of the target pig that have undergone head-tail orientation correction from historical trajectory state data of multiple frames of pigsty images to construct a historical information window; calculating the circumferential median of the historical orientation angles within the historical information window to determine a reference orientation angle; calculating the shortest arc length difference between the first orientation angle and the reference orientation angle; performing a flip correction on the first orientation angle based on the shortest arc length difference to generate a second orientation angle; and outputting second rotated bounding box data containing the target pig's position, target pig size, and the second orientation angle; matching the second rotated bounding box data with trajectory prediction data; and if the match is successful, outputting trajectory tracking and control data that fuses the pig's identity identifier, continuous temporal horizontal and vertical coordinates, and the second orientation angle. This application solves the problems of ambiguous target pig detection orientation and incomplete tracking status in existing technologies.

This utility model pertains to geodesy and is intended for determining the horizontal and vertical positions of objects. The essence of the claimed utility model lies in the development of a device consisting of a removable structure consisting of two connected parts, installed using a latch and a hinged joint, allowing the desired height of the pole to be set by securing the reflective element via a threaded connection. The technical result of the proposed technical solution is the precise setting of the height of the geodetic pole to a scale. 3 fig.

A method for measuring the five-degree-of-freedom geometric motion error of a CNC machine tool guideway is disclosed. Before measurement, three arbitrary non-collinear fixed points are identified on the guideway. A reference coordinate system is set for the guideway cross-section, and the three fixed points are connected sequentially to form triangle ABC. During measurement, after the CNC machine tool guideway moves a certain distance, the three fixed points move to A1, B1, and C1. Using the reference coordinate system as a reference, the three points are connected sequentially to form a new triangle A1B1C1. The roll angle, yaw angle, and pitch angle errors are calculated. This method is repeated at all sampling positions to obtain the distribution of the three angle errors at all positions of the guideway. The offsets in the X and Y directions represent the horizontal and vertical straightness errors of the guideway. This invention can effectively and quickly obtain the three angle errors and two straightness errors.

The invention relates to the technical field of goaf measurement, in particular to a visualization method and system for mine goaf measurement data, and the method comprises the steps: constructing a combined weight of a direction vector and a neighborhood edge angle cotangent value at a node hierarchy, enabling the node elevation to meet the smoothness and position constraint in the horizontal and vertical directions at the same time, and achieving the visualization of the measurement data of a mine goaf. The elevation change of the altitude difference abrupt change area obtains controllable interpolation in a multi-node range, and the coordinate adjustment amount is enabled to present a change trend which is limited by the neighborhood direction consistency and the local curvature boundary in space by utilizing the numerical propagation characteristic of a Laplace operator in a weight system. A continuous form and a local mutation position of a wall surface node are synchronously expressed in an overall curved surface, an elevation fragment generated by Gaussian process regression is written into a node position record, and a multi-scale node connection path is constructed in combination with a distance weight controlled by an attenuation factor; and the reliability of through part identification, wall surface trend judgment and surrounding rock stability parameter reading is improved.

The invention relates to an optical field depth estimation method and system based on BiSAT and MLLA. Firstly, to-be-processed original light field data is obtained, and feature extraction is performed on the to-be-processed original light field data to obtain an initial feature map; processing the initial feature map by using a two-way space Transform module on the horizontal dimension and the vertical dimension of the light field data respectively, and executing cross-view angle volume combination on two-dimensional Transform output features to obtain a cross-view angle fusion feature map; processing the fused feature map by using expansion convolution to construct a first cost body; learning and redistributing spatial data of the first cost body through a Mamba-like linear attention module to obtain a second cost body; and finally, cost aggregation is carried out on the second cost body, depth regression is carried out on the aggregated cost body, and a depth map of the central view is output. Compared with the prior art, the method has the advantages of improving the overall robustness and accuracy of depth estimation in a complex light field scene and the like.

The application discloses a statistical eye diagram reconstruction method based on BER confidence and non-local total variation, and belongs to the technical field of high-speed serial communication link signal integrity testing. The method comprises the following steps: obtaining a two-dimensional BER matrix; performing data cleaning and lower limit correction on the BER matrix, and then performing logarithmic domain mapping and normalization; constructing a confidence weight matrix; performing initial up-sampling with different scales in the horizontal and vertical directions; performing non-local self-similarity structure compensation; constructing a joint objective function which fuses data consistency, edge-preserving total variation regularization, non-local prior and eye diagram physical monotonicity constraint for iterative solution, and simultaneously performing data consistency back-projection correction in combination with the confidence weight matrix; inversely transforming the high-resolution logarithmic domain result into a BER diagram, extracting contour lines and calculating eye diagram indexes. The application can reconstruct a statistical eye diagram with high resolution, clear boundaries and consistency with original data without increasing sampling time.

The present application relates to the technical field of goaf measurement, in particular to a kind of mine goaf measurement data visualization method and system, the combination weight of direction vector and neighborhood edge tangent number value is constructed in node level, node elevation meets smoothness and position constraint in horizontal and vertical direction simultaneously, the elevation change of high difference mutation area obtains controllable interpolation in the range of multiple nodes, by using the numerical propagation characteristics of Laplacian in weight system, the coordinate adjustment quantity presents the change trend that is restricted by neighborhood direction consistency and local curvature boundary in space, the continuous form of wall node and local mutation position are synchronously expressed in the whole surface, the elevation segment generated by Gaussian process regression is written into node position record, and the reliability of through part identification, wall trend judgment and surrounding rock stability parameter reading is improved by constructing multi-scale node connection path combined with distance weight controlled by attenuation factor.

The application discloses a rail transit station building drawing matrix compression method and system, and the method comprises the following steps: extracting line segment information of building walls and structural columns in a station building drawing, wherein the line segment information comprises straight line segment information and arc line segment information; converting all arc line segments into corresponding straight line segments, and calculating the segment length according to the column radius of the structural column; extracting the head and tail points of all line segments, obtaining the X and Y coordinates of each head and tail point, sorting the X and Y coordinates, and constructing an image matrix, with the X and Y coordinates serving as the horizontal and vertical axes of the image matrix; filling the geometric information and attribute information of building elements in the image matrix, and filling negative numbers in the edge of the image matrix through an edge filling technique, to represent the peripheral contour information of the rail transit station.