656 results about "Rectangular coordinates" patented technology

The invention relates to the field of intelligent control, and particularly discloses a shadowless lamp control method based on behavior recognition and prediction, which comprises the following steps: S1, establishing a three-dimensional rectangular coordinate system by taking an initial mounting position of a shadowless lamp as an original point, and determining coordinates as follows by adopting image data acquired by at least two groups of directional image acquisition equipment with different visual angles; s2, capturing the real-time position of the scalpel in real time through an image acquisition device, outputting coordinates, acquiring data of a plurality of continuous durations to form a historical trajectory data set, calling an operation scene template library preset with a plurality of types of typical operation trajectory features by the control terminal for the acquisition times, matching a trajectory feature template corresponding to the current operation type, and outputting the historical trajectory data set; performing feature alignment processing on the data and the input data by a fusion module to obtain adaptive trajectory data; according to the technical scheme, pre-judgment can be carried out in advance, the scene adaptability is high, and sterile fine adjustment is facilitated.

The present invention discloses a position error calibration device and a calibration method for an industrial robot. The position error calibration device in the present invention includes a laser ranging component for measuring the three-dimensional coordinates of the target ball at the end of the robot. The laser ranging component includes a laser interferometer, a beam splitter, a two-dimensional position sensitive detector, and a housing; a two-dimensional moving platform for moving the laser ranging component in the X-axis and Y-axis directions. The two-dimensional moving platform includes a lead screw slider module and a grating scale in the X-axis and Y-axis directions; a supporting device for fixing and supporting the two-dimensional moving platform so that it can work stably in three-dimensional space. Compared with a laser tracker, the present invention does not require transformation between a spherical coordinate system and a rectangular coordinate system, thereby avoiding the amplification effect of the angle error of the inner circle grating in the laser tracker. The present invention can directly measure the three-dimensional coordinate values of the reflecting target ball in the measurement coordinate system, has a good calibration effect, and can meet the calibration requirements of industrial robots.

The invention belongs to the technical field of image processing, and particularly relates to a coded disc surface tiny scratch recognition method based on micro texture feature analysis, which comprises the following steps: acquiring a coded disc grating texture image and converting the coded disc grating texture image into a rectangular coordinate system to obtain an expanded grey-scale map; the optimal main direction of the grating texture is determined through rotation projection analysis; for each pixel point in the grey-scale map, sampling along two sides of the optimal main direction to form a reference sample; calculating a weighted average value of the gray values of the sample points in the reference sample to obtain a trend prediction value, calculating a residual error between the gray values of the pixel points and the trend prediction value, and determining a texture deviation index in combination with the change condition of the gray values of all neighborhood pixel points of the pixel points; and finally, identifying the scratches through threshold segmentation. According to the method, the grating edge interference can be effectively inhibited under the strong periodic texture background, and the tiny scratch features can be accurately extracted.

The invention discloses a ballastless track plane linear reconstruction method and system under the condition of large foundation deformation, and the method comprises the steps: judging whether a railway line is staggered on a long straight line or a curve, and determining a linear reconstruction mode; determining the intersection position of the railway line and the fault zone, establishing a rectangular plane coordinate system, and collecting basic data of the line; fitting and reconstructing straight line edges on two sides of the line damage center and a clamping straight line between the two straight line edges, and determining a slope range and a change step length of the clamping straight line; determining an optimization variable, a constraint condition, a target function and a fitness function, and searching an optimal plane line shape reconstruction scheme under each linear slope value by adopting a genetic algorithm and a local search algorithm; and summarizing and comparing the fitness values of the optimal plane line shape reconstruction schemes under each straight line clamping slope value, and selecting the scheme with the maximum fitness value. According to the method, the damage form of the large deformation of the railway foundation to the plane line shape of the ballastless track is analyzed, and reference is provided for post-disaster repair of the ballastless track.

The invention belongs to the technical field of medical robots, and discloses a surgical robot accurate pose real-time registration method and system based on multi-sensor fusion, and the system comprises a multi-source sensing collection assembly; a time-space calibration mechanism; fusing a resolving platform and an exception elimination platform; a deformation sensing and dynamic compensation device; and a registration result closed-loop feedback unit. According to the invention, a multi-source sensing acquisition assembly and a synchronous control board are integrated on a hardware level, a nanosecond timestamp is generated by using a high-precision clock driven by an onboard crystal oscillator, and a cross-correlation delay calculation chip is combined to execute a cross-correlation function method delay estimation formula, so that microsecond-level accurate correction of delay amount among sensing sources is realized; the coordinate transformation unit automatically selects a matched calibration matrix according to a correction result, multi-source data such as optical positioning, inertial measurement, a torque sensor, ultrasonic or electromagnetic positioning and the like are unified to a global rectangular coordinate system, and the structure can effectively ensure the consistency of time and space references of data output by different sensors.

The invention discloses a multi-unmanned aerial vehicle area coverage path planning method with no-fly zone avoidance. The method comprises the following steps: converting an input operation area boundary and longitude and latitude coordinates of a no-fly zone into a UTM plane rectangular coordinate system, carrying out safety buffer area expansion on all no-fly zones, and calculating a difference set between the operation area and the safety buffer areas of all no-fly zones to obtain a final available operation area; segmenting the final available operation region to generate a plurality of sub-regions with balanced areas; for each sub-region, generating a parallel scanning route covering the region; and each sub-region line segment generates a parallel scanning route covering the region according to a preset interval. The method can ensure that the path avoids the no-fly zone, the zone distribution is balanced, and the calculation is efficient.

The invention relates to the technical field of medical image segmentation, in particular to a voxel-level segmentation method based on a three-dimensional medical image. The technical problem is that a medical image segmentation method in the prior art uses voxels of a fixed size to perform segmentation, which may cause inaccurate segmentation in a sparse or fuzzy region. According to the technical scheme, the voxel-level segmentation method based on the three-dimensional medical image comprises the steps that voxel coordinates under a three-dimensional rectangular coordinate system are converted into coordinates under a spherical coordinate system, the size and shape of curvature voxels are dynamically defined, a curvature voxel grid of a whole image space is constructed under the spherical coordinate system, and the voxel-level segmentation method based on the three-dimensional medical image is obtained. Calculating curvature similarity between each voxel and a neighborhood voxel of the voxel, and combining the similar voxels into a larger clustering unit according to the curvature similarity; according to the method, voxel coordinates in a three-dimensional rectangular coordinate system are converted into coordinates in a spherical coordinate system, a curvature voxel space is constructed, voxel clustering is carried out based on neighborhood curvature similarity, and therefore accurate segmentation of the medical image is achieved.

A shafting rotation precision measuring device and method are suitable for shafting rotation precision measurement of a shaft end assembly, the shafting rotation precision measuring device comprises a lens reflection tool and a rotation precision measuring device from the function aspect, and the readings of a single-shaft photoelectric autocollimator in the horizontal direction and the vertical direction are expanded into Fourier series respectively; first harmonic function calculation is carried out on Fourier series based on a gradienter method, two rectangular coordinates can be obtained, the two components are synthesized, the shaft system rotation precision can be obtained, and the device is simple in structure, convenient to operate and wide in application range. The test verifies and proves that the detection requirement on the rotation precision of the shaft system can be met, and the method has practical engineering significance.

The utility model belongs to the field of civil air defense door detection, and discloses an air tightness detection device for a civil air defense door, which comprises a lifting assembly used for descending the civil air defense door into water, and a sealing assembly used for limiting and sealing the lower part of the civil air defense door is arranged on the lifting assembly. And the marking assembly is arranged on the outer side of the sealing assembly and is used for marking gas leakage points after double-shaft sliding position adjustment. According to the air tightness detection device for the civil air defense door, after the position is adjusted through double-shaft sliding, an air leakage point is marked through downward insertion, the marking rod is moved to the position above the air leakage point and is aligned with the air leakage point through downward insertion, and the position of the air leakage point is accurately recorded by adopting a mechanical marking method; through the arrangement of double coordinates, one corner of the civil air defense door is set as an original point, and an air leakage point position is displayed in a rectangular coordinate system mode, so that the air leakage point position is convenient to determine; through the arrangement of the multi-position marks, a plurality of marking rods are arranged, and a plurality of gas leakage point positions are marked at the same time.

The invention discloses a land gravity far-area terrain correction method and system based on a digital elevation model. The method comprises the following steps of: performing weighted average calculation on a far first region terrain correction value and a far second region generalized terrain correction value of regular distribution measuring points near irregular distribution measuring points by adopting a bilinear interpolation algorithm on the irregular distribution measuring points to obtain a far region terrain correction value; on the basis of a calculation algorithm of a terrain unit gravitational potential vertical partial derivative of a local rectangular coordinate integral kernel of a measuring point under a spherical coordinate system, high-precision calculation and accumulation are carried out on terrain units one by one, the influence of earth surface bending is considered, and a high-precision and high-resolution digital elevation model can be utilized to the greatest extent. A high-precision digital elevation model represented by geographic latitude and longitude is uniformly subdivided for terrain interfaces of a far first area and a far second area, so that digital elevation units with different resolutions are ensured not to be overlapped or have gaps to the greatest extent, and a high-precision and high-resolution digital elevation model is adapted; and subsequent updating and maintenance of the digital elevation model and the remote terrain correction value library are facilitated.

The invention discloses a ship electromagnetic environment prediction method based on a deep forest model, and relates to the technical field of electromagnetic compatibility and antennae, and the method comprises the steps: converting the coordinates of each point of given data (simulation data) into a global rectangular coordinate relative to a main ship body, and obtaining an array rectangular coordinate of each point relative to an array plane; converting the array rectangular coordinates of the points relative to the array plane into relative array spherical coordinates of the points when the antenna attitudes are different; the original global rectangular coordinates, the relative array spherical coordinates, the azimuth angle and the pitch angle of each electromagnetic environment simulation point and the logarithmic transformation values of the field intensity values corresponding to the points are constructed into a feature combination of electromagnetic environment prediction; constructing a deep forest model, and training and obtaining optimal hyper-parameters of the model by using electromagnetic environment simulation data; performing coordinate conversion and feature combination on the coordinates of the spatial points to be predicted; obtaining a model prediction value; and obtaining a field intensity value under the original scale. By means of the method, prediction of the electromagnetic environment under a certain simulation working condition can be completed within a very short time.

The invention discloses a planet generation method and system based on spherical display equipment. The method comprises the following steps: acquiring a planet material to be projected; based on preset UV coordinate mapping data, performing spherical projection on the planet material to generate a planet with two poles based on vertical projection and an equator based on cylindrical projection; the acquisition mode of the UV coordinate mapping data specifically comprises the following steps: generating a corresponding cylindrical projection through a cylindrical projection algorithm based on the auxiliary texture; corresponding spherical coordinates are obtained based on auxiliary texture mapping; converting the obtained spherical coordinates into 3D rectangular coordinates; the obtained 3D rectangular coordinates are mapped back to the 2D texture space again, and corresponding vertical projections are generated; determining an equator mask; and generating corresponding UV coordinate mapping data based on the equatorial mask, the cylindrical projection and the vertical projection. According to the invention, through the design of the UV coordinate mapping data, in the process of carrying out spherical projection on the planet material, the resource consumption is reduced, and the dynamic projection precision can be improved at the same time.

The embodiment of the invention provides a chip layout image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a basic structure type corresponding to a target graph according to the line segment position information in an obtained chip layout image; and determining a refined structure type corresponding to the target graph according to the line segment position information and the line segment angle information. And performing rule inspection on the target graph based on standard structure parameters preset for the refined structure type. The defect that only a graph parallel to the transverse axis direction or the longitudinal axis direction of a two-dimensional rectangular plane coordinate system or a graph with a specific bevel edge angle can be recognized at the present stage is effectively overcome and solved, and then the inspection precision and the inspection efficiency of design rule inspection or mask rule inspection are remarkably improved. The practicability and reliability of the rule checking process and the subsequent image adjusting process for the target graph are improved to a certain extent, so that the performance and the yield of the finally produced chip are powerfully guaranteed.

The invention provides a satellite magnetic measurement data downward continuation method, device and equipment and a medium, and the method comprises the steps: inputting observation data, and converting the observation data obtained during satellite in-orbit measurement from a spherical coordinate system to a rectangular coordinate system; determining a model calculation domain, and generating a series of configuration points in the model calculation domain; normalizing observation data position coordinates, configuration point position coordinates and magnetic field three-component data under the rectangular coordinate system to serve as training data; inputting observation data position coordinates and configuration point position coordinates under the rectangular coordinate system into a neural network model, constructing a loss function based on observation data fitting errors and Laplacian equation physical constraints, and training the neural network model; and according to application requirements, generating a target position coordinate on a target continuation plane or space, inputting the target position coordinate into the trained neural network model, obtaining magnetic field three-component data at the target position coordinate, and realizing high-precision downward continuation.

The method for estimating the area of an irregular-shaped fire scene using an optoelectronic pod in the present invention belongs to the technical fields of navigation control algorithms and infrared image processing, and includes: S101: Preprocessing and background suppression are performed on the infrared thermal image, and the fire scene area in the image is identified according to the gray value of the image and the set temperature threshold; S102: Determine the slant range information of the fire scene area aligned with the optical axis of the pod; S103: Place the infrared thermal image in a rectangular coordinate system with the alignment point of the pod optical axis as the origin, and the fire scene area forms an irregular area in the rectangular coordinate system; S104: Calculate the area projected onto the actual ground for each pixel in the fire scene area according to the optical axis attitude, geographical location information, and slant range information, and add up the projected areas of each pixel to obtain the fire scene area on the actual ground. It can greatly improve the efficiency of forest fire prevention emergency rescue and the accuracy and real-time nature of fire situation reports, thereby achieving rapid analysis of forest fire situations and providing strong information support for forest fire fighting and emergency command.

The invention provides a graphite head regular hexagon blank manufacturing method which comprises the following steps: taking a rectangular carbon brick, and establishing a rectangular coordinate reference system by taking an orthographic projection rectangle of the rectangular carbon brick as a reference and an original point of a point position where a first side is intersected with a second side; obtaining the length of the first side and the length of the second side of the rectangular carbon brick; the preset single bodies are regular hexagonal prisms, are arranged on a first side in a shoulder insertion manner and are arranged in a side-sharing side-by-side manner in the direction of a second side; the cutting line carries out displacement cutting in the first side direction and the side length direction of a preset regular hexagon; according to the scheme, the cutting line walks in the linear direction of the side length of the regular hexagon, three sides of each regular hexagon can be obtained through cutting after each cutter is completed, although each regular hexagon needs to be machined through two cutters, four regular hexagons can be machined through each cutter except for the first cutter, the machining efficiency is high, and the machining cost is low. And the average monomer processing time is short.

A three-dimensional displacement measuring system for a railway platform comprises a laser, an angle sensor, a high-magnification camera and an LED (light-emitting diode) illuminating lamp which are respectively arranged on a fixed upright post, the target is adhered to the edge of the platform to form a measurement reference surface, and the horizontal distance between the stand column and the target is a preset value; the system establishes a virtual zero point and defines a space rectangular coordinate system XYZ, the X axis is in the longitudinal direction of the platform, the Y axis is perpendicular to the edge of the platform, and the Z axis is vertically upward. The invention provides a non-contact, high-precision and low-power-consumption railway platform three-dimensional displacement measurement method, which comprises the following steps of: performing periodic laser scanning and image acquisition on a target adhered to the edge of a platform by utilizing a vision measurement system formed by double lasers and a high-magnification camera and combining feedback information of an angle sensor; and the relative displacement of the X axis, the Y axis and the Z axis in the space is inversely calculated through a geometric model. The method can automatically complete the whole-process operation of zero calibration, photographing, identification, calculation, storage and the like, and meets the actual requirements of long-term structure monitoring of the railway platform.

The invention discloses an anchor rod frame beam deformation and internal force calculation method based on a transfer matrix method, which comprises the following steps of: establishing a rectangular coordinate system by taking the left end point of a longitudinal beam in any frame beam as an original point, the direction of the longitudinal beam as an x axis and the direction vertical to the mounting plane of the frame beam as a y axis; solving a deflection curve differential equation of the beam based on a Winkler elastic foundation theory to obtain the deflection of the longitudinal beam; superposing the deflection increased due to the action of the anchoring force to obtain a deflection general solution of the i-th section of longitudinal beam under the action of the anchoring force; on the basis of the deflection general solution of the i-th longitudinal beam, according to the differential relationship among the deflection, the corner, the bending moment and the shearing force of any section on the i-th longitudinal beam, obtaining a corner, bending moment and shearing force expression of any section on the i-th longitudinal beam; and the deflection, the corner, the bending moment and the shearing solution of any position of the N sections of beams are calculated through a transfer matrix method. The method can calculate and solve the deformation and internal force of any section of frame beam, improves the accuracy and efficiency, and is more suitable for actual engineering scenes.

The invention relates to a method and device for determining the arch axis of an arch bridge, electronic equipment and a storage medium, and belongs to the technical field of bridge engineering.The method for determining the arch axis of the arch bridge comprises the steps that the main beam axis of a bridge floor in the arch bridge is determined, and the bridge floor of the arch bridge is located on an asymmetric longitudinal section line; determining two arch feet of the arch bridge on a main beam axis based on a preset calculation span in the arch bridge, and constructing a three-dimensional rectangular coordinate system by taking an intersection point of a horizontal line passing through the first arch foot and a central stake mark line of the arch bridge as an origin of coordinates; in the three-dimensional rectangular coordinate system, the centroid of the arch rib is determined based on the origin of the coordinates and the preset rise, curve fitting is conducted on the two arch feet and the centroid of the arch rib, and a projection curve of the arch axis of the arch bridge on the vertical face of the arch bridge and the coordinates of the position relation between the three-dimensional rectangular coordinate system and the arch rib in the three-dimensional rectangular coordinate system are obtained. According to the method, the arch axis of the through type simply supported basket arch bridge with the bridge deck located on the asymmetric longitudinal section line can be determined.

The invention discloses a metal internal characteristic selective extraction method, which comprises the following steps of: (1) scanning a block-shaped metal sample by adopting high-resolution X-ray CT (Computed Tomography), reconstructing characteristics including defect distribution, microstructure, holes and cracks in metal through a three-dimensional reconstruction algorithm, and generating a high-precision three-dimensional model; (2) selecting a required area, calculating voxel resolution according to the distance SDD between a radiation source and a detector and the distance SOD between a sample and the radiation source, displaying a reconstructed three-dimensional image in three-dimensional visual analysis software, and performing threshold segmentation through a computer vision algorithm, and automatically identifying and extracting required features for observation; the whole sample is placed in a square frame in an externally tangent form, and a Cartesian rectangular coordinate system is established. According to the invention, after the internal structure is observed by using the X-ray microscopic imaging technology, an interested area is selected for extraction by using linear cutting according to the three-dimensional structure information, and the internal defect of the sample can be efficiently and accurately positioned and extracted.

The invention relates to the technical field of monitoring equipment analysis, in particular to a campus video monitoring analysis system applied to a smart school, which comprises an image acquisition unit for acquiring a video image in a dormitory corridor and recording the video image as a monitoring video, and marking a plurality of rectangular areas in the monitoring video, each rectangular area corresponding to a dormitory door; the distinguishing and marking unit is used for identifying and analyzing the same human body contour in different pictures in the monitoring video and marking the human body contour in the monitoring picture; the state supervision unit constructs a rectangular plane coordinate system, draws a plurality of contour patterns corresponding to the target contour, constructs a target contour movement vector based on head center point coordinates of the contour patterns, marks the target contour as a target outgoing contour in combination with the position of the rectangular area, and marks a target dormitory; and based on the unit face database corresponding to the target dormitory, performing face recognition for the target going-out contour, and marking the corresponding student as a going-out state.

The invention relates to the technical field of mine safety monitoring, in particular to a roadway section convergence multi-view three-dimensional reconstruction method and a monitoring system thereof.The method comprises the steps that a rectangular plane coordinate system is established on a roadway section, a plurality of measuring areas are arranged in the circumferential direction, a plurality of equal-height measuring points are evenly distributed in each measuring area in the elevation direction of the section, and every two adjacent measuring areas share at least one measuring point; a laser structured light projector and a CMOS receiving camera are arranged at each measuring point; matching the feature points through an improved stereo matching algorithm to obtain depth feature point information and establish a section point cloud; dividing deformation into local deformation and overall deformation, establishing deformation association between measurement points through deformation feature description, and obtaining overall convergence information of the section by adopting a point cloud registration method after local deformation compensation is formed; a section safety evaluation model is established, section deformation evaluation and reinforcement suggestions are given, all-directional non-blind area monitoring of the section is achieved, and the monitoring precision reaches the millimeter level.

The invention relates to the technical field of lane line detection, in particular to a 3D-BEV lane line sensing method based on polar coordinates, and the method comprises the steps: carrying out the 3D lane line detection through employing the polar coordinates to replace a conventional method based on a rectangular coordinate system, employing a sliding long-strip-shaped window convolution to adapt to a polar coordinate system, and carrying out the 3D lane line detection through employing the sliding long-strip-shaped window convolution. According to the method, the lane line in the picture can be accurately identified in the polar coordinate system, accurate positioning is carried out in the 3D space, the false detection rate is greatly reduced, the radial distribution characteristic of perspective projection can be more naturally matched, and the modeling precision of the geometric structure of the lane line is remarkably improved.

The invention relates to the field of mine engineering and geotechnical mechanics, in particular to a rectangular roadway surrounding rock plastic zone prediction system under three-dimensional far-field principal stress rotation. According to the method, the magnitude and direction of the far-field principal stress of the rectangular roadway are obtained through field actual measurement, six stress components of the far-field principal stress of the roadway in a space rectangular coordinate system are obtained through matrix transformation of three-dimensional stress rotation, and a stress component function and a principal stress function of any unit around the roadway are obtained through a complex variable function analytical solution. A proper strength criterion is selected to obtain a roadway surrounding rock plastic zone boundary implicit equation, and the calculation process is coded into an executable automatic system through modular programming. Spatial feature points are extracted through a geometric reconstruction algorithm, and a scientific calculation visualization tool is called to automatically generate a two-dimensional section roadway surrounding rock plastic zone distribution diagram.

One or more embodiments of the present disclosure relate to graphics rendering, and in particular to an image rendering method and system based on Boolean operations of simplified contour polygons. The method comprises the steps of: placing two simplified contour polygons to be processed by Boolean operations in an xoy rectangular coordinate system; searching for and splitting edges of the simplified contour polygon on the basis of inflection points, searching for intersection points between the edges of the two simplified contour polygons, and splitting the edges of the simplified contour polygons again on the basis of the intersection points; traversing the edges of the two simplified contour polygons, and labeling both sides of each edge with annotations representing internal and external attributes of the two simplified contour polygons; screening for target edges and target sides on the basis of the Boolean operations; and connecting all the target edges, obtaining a result region on the basis of the target sides, and filling the result region with a pre-configured color.

The invention discloses a detection method of an automobile universal joint inner ball cage mold, which comprises the following steps: measuring and determining an outer contour protruding point of the automobile universal joint inner ball cage mold through a rotating platform and a vertical laser displacement sensor, and collecting point cloud data of an edge where the most protruding point of an outer cylindrical surface is located; collecting point cloud data of the edge where the most concave point of the inner cylindrical surface is located; converting into coordinate values in a space rectangular coordinate system; an auxiliary function is introduced, and the centers of fitting circles of the outer cylindrical surface and the inner cylindrical surface at different heights are solved through a least square method; respectively fitting the centers of the fitting circles of the inner / outer cylindrical surfaces into corresponding straight lines, and determining the coaxiality according to the fitting straight lines and the axis of the positioning hole of the automobile universal joint inner ball cage mold; and after deleting the chamfers in the point cloud data set of the edge where the most convex point of the outer cylindrical surface is located and the data points corresponding to the points not on the convex surfaces at the two ends, calculating the straightness of the outer cylindrical surface.

The invention discloses an automatic attitude control method for a tunnel boring machine equipped with a six-degree-of-freedom propulsion system. The method comprises the following steps: calculating current attitude information of the front end surface of a shield body of the tunnel boring machine in a global rectangular coordinate system; position coordinates and direction vectors of the front end face of the shield body at the next tunneling position, namely the target position, on the tunnel design axis are determined; calculating pose information of the front end face of the shield body at the next tunneling position under the global rectangular coordinate system; calculating the position deviation and Euler angle deviation of the target pose and the current pose in the first rectangular coordinate system; calculating the target length of each propulsion oil cylinder in the six-degree-of-freedom propulsion system; and the intelligent control system of the tunnel boring machine automatically executes the target stroke increment of each propelling oil cylinder in a closed-loop manner. The invention relates to the field of shield tunnel construction, and can solve the problems of high manual deviation correction operation difficulty and insufficient control precision of a propelling system in the prior art.

The invention discloses a target identification and tracking method based on a multi-sensor fusion technology, and relates to the field of image processing, and the method comprises the steps: S1, carrying out the spatial modeling of a target shooting region, obtaining a shooting region spatial model, carrying out the target detector image collection and analysis of each training student, and obtaining a target detector image; s2, creating a model space rectangular coordinate system in the shooting area space model, performing posture angle deviation analysis on the process tracking student through the model space rectangular coordinate system, and obtaining shooting image static analysis data according to the analysis result; s3, performing shooting stability analysis on the process tracking student in the shooting monitoring period to obtain the peak oscillation amplitude of the shooting period, and S4, performing tracking result feedback on the process tracking student according to the shooting image static analysis data and the peak oscillation amplitude of the shooting period, so that the shooting training effect of the student can be improved.

The invention discloses a method for predicting the slope of a road in front of a vehicle based on a GPS, and relates to the technical field of intelligent traffic systems. The method comprises the following steps: S1, acquiring current position information of a vehicle through a GPS module; s2, carrying out coordinate conversion by a coordinate conversion module, and carrying out conversion calculation on a longitude and latitude coordinate point (longnitude, laser) of a WGS-84 coordinate system where the vehicle is located to obtain a plane rectangular coordinate point (x, y) of a universal transverse Mercator grid system UTM (Universal Transverse Mercator Grid System); s3, storing the position information data into a storage module, and storing the historical position information passed by the vehicle according to the driving route of the vehicle; according to the method, high-reliability and high-universality prediction of the slope of the road in front of the vehicle is realized at low cost; the GPS module (such as a built-in Tbox) which is generally equipped on a vehicle is fully utilized to directly obtain latitude, longitude and altitude data, so that the hardware cost for installing an expensive gradient sensor or a high-precision map box is completely saved, and the huge investment for manually collecting and maintaining a road gradient map on a large scale is also avoided.

The invention provides a Canvas-based annotation display method and a Canvas-based annotation display device for any document format, and aims to solve the problems of high file format dependency, poor annotation information interoperability, poor display consistency and the like in the prior art. The method specifically comprises the following steps: S1, acquiring a file type, and acquiring an original width and an original height of a file according to the file type; s2, constructing a first coordinate system, and representing the labeling information in the first coordinate system in a rectangular coordinate mode; s3, drawing a rectangular labeling frame and a labeling text through Canvas to form a transparent mask; s4, according to the actual display size of the current display window, calculating a scaling ratio, adjusting the size of Canvas according to the scaling ratio, and covering the file display area; and S5, displaying the file with the annotation information in the file display area. The use experience of the user is improved.