57 results about "Y-Coordinate" patented technology

The invention provides an automatic wiring method, system and device based on pin positions and directions and a medium. The method comprises the steps of obtaining information of two ends of wiring, determining a starting point and an ending point, preferentially selecting a point with a large y coordinate as the starting point, and selecting a point with a small x coordinate if the y coordinates are the same. If the connection is the symbol, obtaining the direction, the number and the serial number of the pins and the distance between the two symbols; and if the symbol information does not exist, orthogonal wiring is directly carried out. Thirdly, calculating unit offset according to the symbol spacing and the number of the pins, starting wiring from the starting point, and outgoing lines according to the serial numbers of the pins and the unit offset; in the process, whether the wiring passes through the start point or end point symbol region or not is detected, and if yes, inflection point bypassing is added. Then, whether the wiring overlaps with the existing wiring is detected, and if the overlapping and belonging to the same network, the overlapping portion is removed and nodes are added to optimize the wiring. And finally, wiring is completed, and the symbol is drawn into a schematic diagram to be stored. The wiring efficiency and accuracy can be improved, and human errors are reduced.

The invention relates to the technical field of display, and provides a method for improving the straightness of a metal mask, which comprises the following steps: measuring the pixel position precision deviation of a plurality of specified point positions of a plurality of sample masks; selecting the X coordinates of the plurality of specified points as an independent variable and the sum of the Y coordinates and the Y-direction deviation as a dependent variable for fitting, or selecting the Y coordinates of the plurality of specified points as an independent variable and the sum of the X coordinates and the X-direction deviation as a dependent variable for fitting to obtain a fitting expression; when a target product is manufactured, a compensation value required by a theoretical coordinate value of a pixel opening point location of the target product is calculated, the theoretical coordinate value of the pixel opening point location in a photomask design layout of the target product is replaced by a compensated actual coordinate value, and the compensated photomask design layout is adopted to expose and manufacture a metal mask plate. The technical problems that the straightness of the metal mask plate is poor, the product yield is poor and the cost is wasted due to the fact that the raw material type is poor are solved.

A video coding scheme for encoding and decoding 3D data encodes and decodes a mesh displacement image as an image in a 4:2:0 format, reduces distortion caused by encoding, and encodes and decodes 3D data with high quality. A 3D data decoding apparatus includes a video decoder that is configured to decode a mesh displacement image decoded from a geometry video stream in which a Unit Type of coded data is V3C_GVD and a displacement unmapper that is configured to derive a mesh displacement per position pos and component compIdx from the mesh displacement image. The displacement unmapper is further configured to derive a Y coordinate of a geometry image from a product of a height and a variable from 0 to a value indicating a number of dimensions of geometry minus 1 to derive the mesh displacement in a case that the geometry image is in a 4:2:0 format.

According to the small-view-field precise three-dimensional reconstruction method provided by the invention, in a global calibration process, a calibration method based on a virtual plane is provided, the virtual plane is used for calibrating a spatial position relationship between a camera and a projector, a spatial line-line intersection algorithm is used for obtaining a three-dimensional coordinate under global calibration, and global parameters of an X coordinate and a Y coordinate are obtained; in the local calibration process, a coordinate correction method based on a PCA plane fitting ideal plane is provided, the mapping relation between the phase and the coordinate of each pixel level is constructed by using cross ratio invariance, the relation between the absolute phase of an image collected by a camera and the Z coordinate is obtained, and system local calibration parameters for the Z coordinate are obtained; in the three-dimensional reconstruction process, an image positioning method based on the difference reflectivity is provided, the reconstruction range is narrowed, and only the image in the reconstruction area is calculated in subsequent calculation; and an invalid phase value identification and removal method is provided, interference of invalid points is eliminated, and the accuracy of a reconstruction result is ensured.

The invention discloses a method for automatically measuring the center position of a five-axis rotary table cradle, and relates to the technical field of five-axis machining tools. The method comprises the following steps: S1, placing a standard ball at a preset position of a five-axis turntable, and enabling a probe to contact and obtain a contact point coordinate; s2, fitting by using a least square method to obtain a sphere center coordinate and a radius; s3, controlling the C shaft to rotate, changing the position of the standard ball, obtaining the contact point again and determining the position of the standard ball; s4, rotating the standard ball to a second position, calculating the center coordinate of the ball, and estimating the center X and Y coordinates of the rotary table; s5, accurately measuring a plurality of sphere center coordinates, and calculating X and Y coordinates and a deviation angle of the center of the rotary table; and S6, controlling the A axis to rotate, calculating a Z coordinate, and finally obtaining a three-dimensional coordinate of the center of the rotary table. Through automatic accurate measurement and optimization calculation, the three-dimensional coordinates of the rotary table can be efficiently and accurately determined, and stable positioning and high consistency in a complex working environment are ensured.

The invention relates to a method for generating a karst cave 3D printing digital model, a storage medium and equipment, and the generation method comprises the following steps: analyzing a seismic data file in an SEGY format; arranging and storing X and Y coordinates, trace gathers (CDP) and seismic attribute data of a specified main measuring line seismic interpretation profile (Inline) and a tie line seismic interpretation profile (Xline) corresponding to each seismic data point in an index mode; generating a corresponding orthogonal grid model on the basis of the seismic data points; searching and extracting a karst cave in the orthogonal grid model according to the seismic data information of the orthogonal grid model and each grid unit, then identifying all boundary surfaces participating in forming a karst cave boundary, and processing the boundary surfaces to obtain a karst cave contour represented by a triangular grid; and outputting and storing the three-dimensional contour of the karst cave oil reservoir model obtained in the step 3.4 according to an STL file format. The STL model is constructed by identifying and analyzing the seismic data in the SEGY format, and a new tool is provided for smooth development of a 3D printing physical model.

The invention relates to the technical field of bridge deformation monitoring, in particular to a highway bridge deformation monitoring method and system based on laser measurement, and the method comprises the steps: obtaining a slope difference of a fitting straight line and a curvature difference of all edge points based on x and y coordinates of all edge points between two side edge clusters; de-noising various point clouds in combination with the local change trend of the curvature of all edge points in each side cluster; fitting each plane point and all plane points in the neighborhood of the plane point, analyzing the error condition of the fitting process, and screening out a feature cluster by combining the dispersion degree of the curvature of each plane point and all plane points in the neighborhood of the plane point; all matching point pairs between the feature clusters of different feature point clouds are obtained, key indexes are determined by analyzing the distance between the matching point pairs and the difference of the concave-convex coefficients between the matching point pairs, and deformation monitoring is carried out on the highway bridge. The invention aims to improve the precision of monitoring the deformation of the highway bridge.

The invention relates to the technical field of three-dimensional data processing and analysis, in particular to a method and a system for constructing a local reference system of a three-dimensional surface. The method comprises the following steps: selecting a local surface of a key point p of a three-dimensional surface, and dividing the local surface into an inner circle and an outer ring according to a radius R1 and a radius R2; solving stable vectors LSA of all vertexes of the inner circle and the outer ring; taking the average direction of the stable vectors LSA of all vertexes of the inner circle part as a Z coordinate axis; performing weighted projection on the stable vectors LSA of all the vertexes of the outer ring part to a tangent plane defined by a Z coordinate axis and a p point; establishing a direction histogram, carrying out statistics on direction information of projection vectors, and selecting an angle with the maximum voting value as the direction of an X coordinate axis; and taking the cross multiplication direction of the Z coordinate axis and the X coordinate axis as the direction of the Y coordinate axis. The method has better robustness for incomplete point clouds with resolution change and noise interference.

A method comprising receiving ocular imaging data representing a target layer- of-interest of a human cornea; processing the ocular imaging data to calculate elevation data relative to a best-fit reference shape for a set of sampling points; generating a 3-D cloud indicative of the elevation and X, Y coordinates of the set of sampling points within a cartesian plane; selecting a successive plurality of discrete azimuthal sectors of the sampling points; converting the sampling points in each of the plurality of discrete azimuthal sectors into a 2-D representation; finding, for each of the 2-D representations, a best-fit shape; measuring a diopter of each of the best-fit shapes, based, at least in part, on a known refractive index of the target layer-of-interest; and calculating, from all of the measured diopters, a mean diopter power of the target layer-of-interest.

The application discloses a kind of experimental correction method and system of optical deformation of density interface in density stratified fluid, method steps: S1, obtains the continuous original image of spherical particle cross-interface, control adjacent image particle displacement is not more than average pixel radius, set particle falling direction as y axis positive direction;S2, select the image i before particle enters interface, get y coordinate by profile, build the mapping array of corrected y' and original y;S3, select the i+n (n≥1, indicate that it is processed n image) image, get y coordinate and particle center by profile, determine particle center correction position according to mapping array, obtain its corrected y' by formula for specific line, add mapping array;S4, repeat S3 to obtain complete mapping array;S5, according to complete mapping array, correct subsequent image.The application constructs mapping array in stages to realize accurate correction, and can improve the reliability of related experimental image measurement data.

An inspecting unit for use in a laser processing apparatus includes a camera configured to image a spot of a laser beam, and a processing unit configured to generate a light intensity at two-dimensional X-Y coordinates corresponding to a two-dimensional image imaged by the camera. The processing unit includes a determining unit configured to generate a three-dimensional approximate curve or an approximate curved surface such that the light intensity corresponding to the two-dimensional coordinates is set as a Z-coordinate, and determine that there is dirt, a flaw, or an abnormality in an optical system on an optical path on the laser oscillator side of a position at which the spot is imaged when a difference between the first light intensity of the Z-coordinate corresponding to the two-dimensional coordinates and a second light intensity indicated by the approximate curve or the approximate curved surface exceeds an allowable value.

The invention belongs to the field of cutting optimization algorithms, and particularly relates to a multi-constraint log cutting optimization method. Comprising the following steps of sequentially performing peeling operation and peeling operation on two-dimensional log contour data to obtain a binary image I; in the image coordinate system, respectively extracting a Y coordinate value sequence TS of the upper contour of the binary image I and a Y coordinate value sequence BS of the lower contour of the binary image I from left to right; and a log sleeve cutting optimization model is constructed based on dynamic programming, TS and BS are optimized and solved in combination with various constraint conditions, and an optimal cutting scheme is determined. According to the method, the optimal cutting mode for cutting the log into the battens of different sizes at the same time can be solved, the main material is preferentially generated in the generated battens, and the mode with the minimum cutting frequency of the first channel saw is selected from the cutting modes with the same outturn percentage; the cutting mode with the closest left and right excess material thickness can be selected from the cutting modes with the same outturn percentage and cutting number.

The present invention belongs to the field of radar detection technology, and discloses a forward scatter radar network target three-dimensional spatial position estimation method and storage medium, including: firstly establishing a coordinate system, determining the positions of a transmitting station and a receiving station, solving the plane equation formed by the connecting line of the transmitting station and the receiving station, determining the x and y coordinate axes in the two-dimensional plane, and converting the three-dimensional coordinates of the transmitter and the receiver into two-dimensional coordinates in the same plane; then constructing a parameter estimation equation based on the geometric structure of the forward scatter radar network, and solving the equation; finally, converting the obtained estimated value of the target position in the two-dimensional plane into three-dimensional space to obtain the target position estimation result. The present invention is based on the forward scatter radar network target three-dimensional spatial position estimation method, which can be applied to the target detection of the forward scatter radar network. The present invention can improve the real-time positioning efficiency in forward scatter radar target detection; and reduce the energy consumption of long-distance early warning in radar target detection.

Object It is an object of the present invention to encode and decode a mesh displacement image as an image in a 4:2:0 format in encoding and decoding 3D data using a video coding scheme, reduce distortion caused by encoding, and encode and decode 3D data with high quality. Solution A 3D data decoding apparatus includes a video decoder configured to decode a mesh displacement image decoded from a geometry video stream in which a Unit Type of the coded data is V3C_GVD and a displacement unmapper configured to derive a mesh displacement per position pos and component compIdx from a mesh displacement image, wherein the displacement unmapper is configured to derive a Y coordinate of a geometry image from the product of a height and a variable from 0 to a value indicating the number of dimensions of geometry minus 1 to derive the mesh displacement in a case that the geometry image is in a 4:2:0 format.

The invention discloses a cube chartlet texture cache allocation method based on X and Y coordinates and surface label optimization, and the method comprises the steps: unfolding a cube chartlet into a plane, taking the left upper corner as an original point, and reallocating the XY coordinates and surface label information of each pixel, thereby achieving the dual optimization. According to the method, cache conflicts during bilinear sampling are effectively reduced, the effect is particularly remarkable in small-size cube mapping, and the texture sampling efficiency is remarkably improved. The optimized cache allocation strategy enables distribution of texture data in the cache to be more reasonable, complexity and performance overhead caused by coordinate rotation are reduced, hardware resources are fully utilized, the service life of equipment is prolonged, and the overall performance of the system is improved. The method is suitable for cube chartlets of various sizes, has high universality and flexibility, and solves the problems of high cache conflict rate and low sampling efficiency in the prior art.

The invention relates to a three-dimensional velocity field multivariate nonlinear regression method and device based on deep learning. The method comprises the following steps: acquiring velocity field training set data formed by four characteristics of an X coordinate, a Y coordinate, time and velocity; preprocessing (i.e., standardizing) the training set data to enable the training set data to meet normal distribution; a DNN model is built and trained, and when the error between the prediction speed and the label speed is smaller than a certain threshold value, it can be considered that training of the DNN model is completed; and predicting each CMP point by using the trained DNN model to obtain a three-dimensional seismic exploration velocity field after interpolation and extrapolation of the whole region. The speed control point density and the manual picking time can be effectively reduced, and the picking precision comparable with that of manual picking is achieved, so that the data processing cost is reduced.

The present invention provides a method and apparatus for optical property modeling. The method includes dividing all microstructures in the periodic space into a plurality of thin slices in the z direction; obtaining each closed region projected by the thin slices of the same layer on the xy plane of the periodic space, and representing the boundaries of the respective closed regions as respective polygons; obtaining the x coordinates and y coordinates of the vertices of each polygon to form an x coordinate set and a y coordinate set, respectively forming candidate integral subintervals from the coordinates in the x coordinate set and the y coordinate set, obtaining a target integral subinterval from the candidate integral subintervals, and calculating the Fourier coefficients of the dielectric constant of the periodic medium and the Toeplitz matrix of the dielectric constant of the periodic medium according to the target integral subinterval, and finally realizing the optical property modeling of the periodic medium. According to the target integral subinterval, the present invention calculates the theoretical spectral data, which improves the efficiency of obtaining the theoretical spectral data while ensuring the accuracy.

The present invention relates to the field of radial gate installation technology and fault diagnosis, and specifically to a radial gate geometric tolerance analysis model based on comprehensive adjustment. The model integrates the posture adjustment of multiple embedded parts to solve the center line of the orifice, takes the intersection of the connecting line of the left and right hinge shaft centers and the center line of the orifice as the coordinate origin, points downstream along the center line of the orifice as the Y axis, and vertically upward as the Z axis. The right-hand system is used to determine the direction of the X axis, thereby establishing a radial gate geometric tolerance analysis coordinate system, wherein the absolute value of the X coordinate represents the distance from the center line of the orifice, the Y coordinate represents the mileage value, and the Z coordinate represents the elevation value. The radial gate geometric tolerance analysis model of the present invention can accurately reproduce the center line of the orifice, and intuitively and efficiently analyze the geometric tolerances of each embedded part.

The present invention relates to a method, apparatus, and storage medium for estimating the field strength of a target space field. The method includes: establishing a three-dimensional coordinate space of the target space field, dividing the three-dimensional coordinate space along the z-axis into mz x-y coordinate planes, and further dividing each x-y plane along the y-axis into my coordinate parts to obtain a plurality of smallest units; acquiring the field strength measurement values of some spatial points in the target space field; establishing a relationship function between the field strength of the target space field in the three-dimensional coordinate space and each coordinate axis, coordinate plane, and coordinate part; in each divided smallest unit, fitting the field strength measurement values of the partial spatial points into a field strength curve; and determining the field strength estimated value corresponding to any target spatial point according to the field strength curve. Through this technical solution, the purpose of estimating the field characteristics of spatial points is achieved, and the complexity and workload are greatly reduced.

Method for the screening of child undernutrition comprising a photograph taking step (101),a digital image generation step (102), a digital image reception step (103), a landmark configuration identification step (104) wherein a configuration of bi-dimensional landmarks and semi-landmarks defining the shape of a body part depicted in the digital image is identified by means of geometric morphometric techniques, a coordinate acquisition step (105) wherein the x, y coordinates of each landmark and semi-landmark in the configuration are obtained, a normalization step (106) wherein the x, y coordinates of each landmark and semi-landmark in the configuration are normalized thus obtaining a normalized landmark configuration, and a classification step (107) wherein the normalized landmark configuration is classified by using a classifier trained with training data previously collected from a training sample of children.

The present invention relates to the field of display technology and provides a method for improving the straightness of a metal mask, comprising: measuring pixel position accuracy deviations of a plurality of designated points on a plurality of sample masks; selecting the X coordinates of the plurality of designated points as independent variables and the sum of the Y coordinates and the Y-direction deviations as dependent variables for fitting, or selecting the Y coordinates of the plurality of designated points as independent variables and the sum of the X coordinates and the X-direction deviations as dependent variables for fitting to obtain a fitting expression; and when manufacturing a target product, calculating compensation values required for theoretical coordinate values of pixel opening points of the target product, replacing the theoretical coordinate values of the pixel opening points in a photomask design layout of the target product with compensated actual coordinate values, and using the compensated photomask design layout for exposure to manufacture the metal mask, thereby solving the technical problems of poor straightness of the metal mask, poor product yield, and cost waste caused by poor original material pattern.

The invention discloses a method for filling a non-self-intersecting polygon in an FPGA (Field Programmable Gate Array) in the technical field of FPGA data processing, which comprises the following steps of: a coordinate acquisition step: acquiring Y coordinate values of each vertex of the polygon, obtaining a maximum value point Ymax, a minimum value point Ymin and non-extreme points of the Y coordinate values of each vertex, and numbering each side of the polygon; and an intersection point calculation step: obtaining X coordinate values of intersection points of straight lines of Y = Ymin and each edge of the polygon, and recording the number of the intersection points and the serial numbers of the edges where the intersection points are located. The filling method for filling the non-self-intersecting polygons in the FPGA is reasonable in structural design. A simplified sorting method is adopted according to the change condition of the number of the intersection points, the sorting operation amount of the intersection points in the filling process is greatly reduced, and the filling speed is greatly increased.

The present application belongs to the field of base station calibration, and is a base station calibration method based on fusion of TOF and AOA method. A base station is selected as an original base station to establish a coordinate system. With the original base station as the origin, a first adjacent base station A is found in a counterclockwise or clockwise direction, the distance r between the original base station and the base station A is measured n , the spatial coordinates of the base station A are calculated, and the azimuth of the base station A to be determined is distinguished by azimuth. The distance r between the original base station and a base station B adjacent to the base station A is measured n , the azimuth and the pitch angle are calculated, the base station A and the base station B are projected onto the xoy plane of the original base station, a spherical equation is established, two sets of spatial coordinate solutions of the base station B are obtained by solving the spherical equation, and the azimuth of the base station B is used to determine the final solution. The calibration method improves the x and y coordinate accuracy of the base station. Through distance measurement of three base stations, mutual constraint is achieved, and the calibration accuracy is improved.

The invention relates to a large array composite pipe turn-over clamping pose error measurement and compensation device and method.The device comprises a probe, a feature point carrier and an internal expansion device, the feature point carrier comprises a device body, the device body is provided with an upper end face and a lower end face, and an inner hole is formed in the device body; the reference features are installed in the composite pipe through an internal expansion device, coordinates of the central axis of the inner hole wall and coordinates of projection of the hole axis on the upper end face are detected through a probe, coordinate data of front feature points under a machine tool coordinate system are obtained, and the coordinates of the central axis of the inner hole wall are x and y coordinates of the feature points; the z coordinate difference of the upper and lower end faces is used for realizing z coordinate detection of the first face and the same reference point after the face is turned over. According to the invention, an accurate reference is provided for double-sided processing of the array composite pipe, the error of the blank is prevented from being fused into the positioning reference, the six-axis positioning deviation of the station relative to the station of the first surface can be measured before the second surface of the array composite pipe is processed, and the relative profile tolerance of the double surfaces after processing is improved.

The application provides a tunneling machine cutting track planning method based on an intelligent interaction interface, provides a roadway section parameter and a cutting process path planning function through an intelligent monitoring software interaction interface; two number axes perpendicular to each other and having a common origin are established in the interface to form an X, Y axis rectangular coordinate system, a region in the coordinate is subjected to a gridding treatment to establish a gridding map to divide a to-be-cut roadway section; in the gridding region, a starting point and an ending point coordinate data of each section in a cutting process path are taken by using an arbitrary selected point mode, after the selected point of each cutting track section is completed, a two-point coordinate line is automatically generated, and this is repeated until the planning of the whole cutting process path is completed; in the selected point coordinate process, an automatic recognition gridding intersection point function is built in the interaction interface, and when a diagonal line or an irregular cutting process path coordinate system appears, a control strategy of taking a cutting head radius as a minimum step distance to segmentally solve X, Y coordinate data is adopted to realize the optimal solution treatment on the cutting track.

The present invention provides a method for calculating machining errors, comprising: obtaining the absolute values ​​of the Y coordinates of two corresponding points in the length direction of the material when the material's large plane is coplanar with the XY axes, the material's length direction corresponds to the Y axis, the material's width direction corresponds to the X axis, and the material's height direction corresponds to the Z axis, and calculating the material's center deviation value F. Obtaining the relative values ​​of the X coordinates of the corresponding points in the material's width direction; and obtaining the relative values ​​of the X coordinates of the corresponding points on the inner side of the surface to be machined. When the material's large plane is coplanar with the XZ axes, sequentially obtaining the relative values ​​and theoretical values ​​of the X coordinates of points G2, G3, and G4 in the material's width direction; and calculating the X deviation and four-axis rotation error at the location of the surface to be machined. The present invention also provides an error compensation method, calculation device, machining equipment, method, and housing. The housing, machining error calculation and compensation method, device, equipment, and machining method of the present invention can reduce machining errors and improve product yield.

The present invention discloses a method for measuring coordinate conversion of building facades, comprising the following steps: 1. collecting the three-dimensional coordinates of each element feature point on the building facade in a free coordinate system by a non-reflective prism total station; 2. selecting two feature points on the lower left and lower right of the main line of the house on the building facade to establish a plumb plane; 3. calculating the coordinates of the projection points of each element feature point on the plumb plane; 4. calculating the angle between the plumb plane and the YOH plane of the free coordinate system; 5. converting the projection points of each element feature point on the plumb plane to the YOH plane by Rodriguez rotation; 6. respectively taking the Y coordinate and H coordinate of each element feature point on the YOH plane as the horizontal coordinate and vertical coordinate in the facade coordinate system, importing the points into the drawing software, and editing them into a drawing. The method directly converts each element feature point on the building facade to the front facade through spatial projection and spatial rotation, avoids the frequent use of coordinate inverse calculation and coordinate forward calculation, and simplifies the calculation process.

The invention provides a method for determining the optimal position of a wellhead. The method comprises the steps that the position of a reservoir dessert is obtained; according to the sweet spot position, the target entering point and the well bottom of the horizontal reservoir section serve as the first target spot position and the second target spot position respectively; the full-angle change rate and the target front distance of the horizontal well are obtained; determining an azimuth angle according to the difference value of each axis of the target spot I and the target spot II; determining the X-axis coordinate of the deflecting end point of the horizontal well according to the X-axis coordinate of the target point I, the difference value of each axis of the target point II and the target point I and the pre-target distance; determining the Y-axis coordinate of the deflecting end point according to the Y coordinate of the target spot I, the difference value of each axis of the target spot II and the target spot I and the target front distance; the X-axis coordinate of the wellhead of the horizontal well is determined according to the X-axis coordinate of the deflecting end point, the difference values of all axes of the deflecting end point and the second target point and the full-angle change rate; and the Y-axis coordinate of the wellhead of the horizontal well is determined according to the Y-axis coordinate of the deflecting end point, the difference values of all the axes of the deflecting end point and the second target point and the full-angle change rate. The problem that there is no method for determining the optimal position of the wellhead in the prior art is solved.