503 results about "Vertical coordinate" patented technology

The invention relates to the technical field of motion detection, in particular to an old people falling early warning system based on motion trail analysis, which comprises a gravity center identification module, a trend identification module, an inertia pushing module, a phase judgment module and a grade response module. According to the method, the vertical coordinates of the key points of the waist and the two feet in the image frame are acquired, and the height difference change is continuously tracked, so that the potential falling initial state can be identified from the static posture, the vector included angles among the three groups of bone points of the hip knee, the knee ankle and the shoulder pelvis are subjected to sequence analysis, and whether synchronous disintegration occurs in the coordination action is identified; the identified trend sequence is mapped according to the risk level, a differential response mechanism is applied, a high-density corresponding relation is constructed between the behavior trend and the alarm level, graded response and time sequence triggering of the falling risk are achieved, the accurate identification capability of the falling precursor action is enhanced, the sensitivity and discrimination of the alarm response are also improved, and the safety of the falling risk is improved. And misjudgment and missed judgment are effectively avoided.

The method comprises the following steps: collecting a group of raw milk submission test information table images, and intercepting five types of bigeminy colloidal gold test paper on each submission test information table as a to-be-detected data set; replacing a C2f module of the YOLOv8 backbone network with an irregular feature extraction module, adding a position information attention module at the tail of the backbone network, and constructing to obtain a test paper color development recognition model; training the test paper color development recognition model based on an improved WIoU loss function and a self-defined sample set containing different color development conditions; inputting the to-be-detected data set into a trained test paper color development recognition model for recognition to obtain a plurality of prediction frames; and determining a regional color development recognition result by comparing the sizes of the projections accumulated by the pixel values on the same vertical coordinates of the plurality of prediction frames. According to the invention, a target detection technology is applied to an immunochromatography test paper color development recognition task, and a new thought and a solution are provided for color development recognition of batch immunochromatography test paper.

The invention discloses a wafer laser implicit cutting positioning method, and relates to the technical field of wafer processing methods. The method specifically comprises the following steps: presetting a wafer standard template; generating a complete 3D morphology graph of the surface of the wafer; obtaining the coordinates of the flat edge and the center point of the wafer, determining the actual position of the wafer, and determining a first rotation angle at which the wafer needs to rotate; the glass carrying table is rotated, and coarse rotation positioning is completed; obtaining a first electrode contour image of an electrode below the wafer, obtaining a center point coordinate and a direction angle of the wafer according to the first electrode contour image, determining a current position of the wafer, determining a second rotation angle of the wafer according to the current position of the wafer and the position of the wafer standard template, and rotating the glass carrying table to obtain a second rotation angle of the wafer; and finishing the fine rotation positioning of the wafer. And determining the horizontal coordinate and the vertical coordinate of the cutting channel in the wafer, and fitting the horizontal coordinate and the vertical coordinate with the 3D morphology graph to obtain the accurate coordinate of the cutting channel in the wafer. The invention aims to reduce the manufacturing cost of laser cutting equipment while ensuring the cutting precision.

The invention discloses a tumble detection method based on multilayer screening and key point prediction. The method comprises the following steps: constructing a daily behavior data set; establishing an identification fall detection model; outputting the contents of the detection frames in e frames before and after the identified frame with the tag name being the tumble in parallel, and screening out a key frame set by using the image difference between continuous frames; generating human body key point information of a central frame and adjacent frames thereof; calculating the moving speed of the vertical coordinate of the human body mass center point; acquiring the maximum height of a shoulder joint point on the right side of the image in the 3D key point graph relative to the ground when the human body squats; and if the moving speed is greater than a preset moving speed threshold value and the vertical coordinates of the shoulder joint points, on the right side of the image, of all the frames in the period are greater than the maximum height, it is determined that falling may occur. The tumble detection and recognition precision is high, the requirements of robustness, accuracy and real-time performance of a detection system can be met, and meanwhile the method can be directly deployed on existing mobile intelligent equipment.

The invention relates to the technical field of image data processing, in particular to a forging main shaft deep hole machining and positioning method which comprises the steps that the local similarity degree of pixel points is determined according to the gray scale deviation of the pixel points and neighborhood pixel points in a forging image and the fluctuation condition of the neighborhood pixel points, and the local similarity degree of the pixel points is determined according to the gray scale deviation of the pixel points and the neighborhood pixel points; the method comprises the following steps: segmenting a forging image into a plurality of image blocks, respectively taking a horizontal coordinate mean value and a vertical coordinate mean value of all pixel points in the image blocks as center coordinates of the image blocks, and obtaining a clustering cluster of included angles between the center coordinates and center coordinates of other image blocks; marking the central coordinate of the image block and the central coordinate of the image block in one cluster as a linear group of the image block, and determining the linear performance of the linear group; calculating the brightness performance of the image blocks; forge piece image enhancement is carried out based on the brightness expression of each image block so as to assist in achieving positioning of forge piece spindle deep hole machining, and the accuracy of forge piece spindle deep hole machining positioning is effectively improved.

The invention relates to the technical field of gradient measurement, in particular to a method and device for dynamically detecting the perpendicularity of an underwater sinking pile body, and the method comprises the steps: collecting the laser point position of a laser plumb aligner and the torsion degree data of the pile body in the sinking process of the pile body; based on the jumping degree and the change trend characteristics of the light spot coordinate data collected by the laser plumb aligner, respectively calculating the offset coefficients of the light spot in the horizontal coordinate direction and the vertical coordinate direction at each moment; the method comprises the following steps: calculating an offset influence index caused by dynamic distortion by analyzing autocorrelation of a light spot coordinate sequence and related characteristics of an offset degree and a distortion state, calculating a vertical offset index based on a change state of the offset influence index, observing a pile body by adopting an underwater camera, and detecting the perpendicularity of the underwater pile body. The accuracy and the reliability of dynamic detection of the perpendicularity of the underwater sinking pile body are improved.

The invention provides a fish school resource quantity evaluation method based on fishery horizontal scanning sonar, and relates to the technical field of fish school detection. The method comprises the following steps: acquiring echo data sent by shipborne horizontal scanning sonar equipment; performing coordinate transformation on the original echo image according to the polar coordinate data of each pixel point in the original echo image to obtain an original echo image under a vertical coordinate system; performing denoising processing on the original echo image to obtain a denoised echo image; performing edge feature detection on the de-noised echo image to obtain a fish school contour feature map; determining fish school feature parameters according to the fish school contour feature map; and according to the fish school feature parameters and the original echo image, generating and displaying a fish school geographic plotting chart, so that the position information and the feature parameters of fish school resources in a large range can be known more visually, the purpose of evaluating the fish school resource quantity in the whole fishing ground is achieved, and the efficiency of ship fishing operation is effectively improved.

The invention discloses a directed acyclic graph-based power source traceability graph generation method and system, and the method comprises the steps: constructing a directed acyclic graph, taking a load node and power grid equipment as vertexes, taking a power supply line as an edge, and taking a power supply direction as a direction; hierarchies are divided according to the voltage levels of the vertexes and the connection relation between the vertexes, and the vertical coordinates of the vertexes of the same hierarchy are the same Segmenting the edge spanning the plurality of hierarchies into a plurality of edges spanning only adjacent hierarchies by inserting pseudo nodes; sequencing the vertexes of the same level, and reducing the crossing number of edges in the graph; determining abscissas of the vertexes after sorting; and according to the abscissa and the ordinate of the vertex, determining coordinates of the power grid equipment and the load node and a path of the power supply line, and completing generation of the power supply traceability diagram. The power source tracing result of the load node is abstracted into the directed acyclic graph, the situation that multiple power supply paths exist between the power source and the load node can be processed, the mapping effect is more accurate and visual, and the power supply logic relation between power grid equipment can be clearly reflected.

The invention discloses a document translation method, a document translation device and related products, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic, auxiliary driving and the like. Translating the document text to obtain a text translation result; extracting a first picture from the first document, and identifying a picture text from a plurality of text regions in the first picture; translating the picture text to obtain a picture translation result; if the plurality of text areas comprise a first text area and a second text area which are intersected in the longitudinal coordinate interval, and the text length of a first translation result filled in the first text area in the picture translation result is greater than the target text length, reducing the word size of the first translation result; filling a plurality of text regions in the first picture with the adjusted picture translation result to obtain a second picture; and replacing the document text with the text translation result, and replacing the first picture with the second picture to obtain a second document. In this way, the original format of the document is maintained, and the document translation effect is greatly improved.

A visual image processing method based on brain-like processing belongs to the technical field of image recognition, and comprises the following steps: step 1, dividing an image into multiple rows and columns by taking pixels as units, scanning row by row, and obtaining digital visual waves of the rows by taking a pixel value of each point as a vertical coordinate and the number of the columns as a horizontal coordinate; step 2, screening out a to-be-screened wave band of each row; step 3, taking the central point of each to-be-screened wave band, and screening the front end point and the rear end point; and step 32, carrying out graph fitting identification on the central point and the end point of the to-be-screened wave band reserved in each row and each column to obtain an image. According to the method, the image pixel value change points are directly subjected to extraction reasoning and fitting clustering in a line-by-line scanning and operation mode to obtain and recognize the image, the image recognition speed and precision are improved, the hardware requirement is reduced, and the method is suitable for performing real-time automatic search recognition and tracking application on moving and small dim targets in various complex environments.

An optical fiber sensing method and sensing system for straightness of the scraper conveyor is provided. The sensing method includes the following steps: obtaining the horizontal strain and vertical strain of the corresponding grating measuring point of the scraper conveyor by the optical fiber shape sensor; calculating the horizontal curvature and vertical curvature of the grating measuring point; inserting multiple interpolation nodes between the curvature values of two adjacent grating measuring points; transforming the horizontal curvature and the vertical curvature into the horizontal coordinate value in the horizontal coordinate system and the vertical coordinate value in the vertical coordinate system respectively; superimposing the horizontal coordinate value and the vertical coordinate value to obtain the three-dimensional spatial coordinate values of the grating measuring point and the interpolation node; and obtaining the curves of the optical fiber shape sensor on the horizontal plane, the vertical plane, and the three-dimensional space respectively.

The invention belongs to the technical field of mine pressure of underground mining of coal mines, and particularly relates to a working face roof weighting identification method based on the state of a hydraulic support safety valve. Comprising the steps of collecting working resistance data of all hydraulic supports in a working face in real time, and drawing a broken line graph with time T as a horizontal coordinate and working resistance P as a vertical coordinate; the hydraulic support safety valve opening point is determined according to the slope and the relation between the working resistance and the safety valve opening threshold value, the hydraulic support safety valve closing point is determined according to the slope and the relation between the working resistance and the safety valve opening threshold value, safety valve opening and closing occur in pairs, and the safety valve opening frequency and each opening time are recorded; the roof weighting strength at each hydraulic support is determined based on the two dimensions of the safety valve opening frequency and the accumulated opening duration, the working face weighting grade in one mining step pitch is determined based on the safety valve opening proportion m of the hydraulic supports, the coal face safety production can be guided in time, and the rock burst danger is avoided.

The invention discloses a submucous membrane multi-point thickness measuring method for endoscopic submucous membrane dissection. The submucous membrane multi-point thickness measuring method comprises the following steps that images are collected, wherein pathological images cut by the endoscopic submucous membrane dissection are obtained; image preprocessing: improving the brightness of the pathological image and the contrast ratio of a bright part, and smoothing the pathological image through Gaussian filtering; image feature extraction: extracting texture features of the pathological image, using a local binary pattern (LBP) algorithm, and generating a vertical coordinate feature map with the same size as the pathological image; feature fusion: superposing the preprocessed noise reduction image, the texture feature image and the ordinate feature map; submucous membrane pathological tissue segmentation: using a UNet neural network to carry out image segmentation task training on the superimposed image; calculating the thickness of multiple points; and quality evaluation. According to the method, the thickness of the submucous membrane is measured through the pathological tissue image, and ESD effect judgment and operation quality control are facilitated.

The invention relates to a tire tread multi-section arc profile parameterization design method based on segmentation constraint, and belongs to the field of tire design. Basic parameters of the tire tread are determined, wherein the basic parameters comprise the outer diameter, the tread width and the shoulder sinkage; transversely dividing the width of the driving surface into n sections of arcs according to a preset proportion; establishing a longitudinal coordinate double-boundary constraint system of the right end point of the crown arc, wherein the minimum value and the maximum value are determined by the whole section of arc passing through the left end point of the crown arc and the tire shoulder end point and the y value of the tangent line passing through the left end point of the crown arc at the right end point of the crown arc; selecting a y value in the extreme value interval, and calculating the coordinates of the center of circle of the crown arc on the Y axis; the minimum value and the maximum value of the vertical coordinate of the right end point of the arc close to one side of the tire shoulder are determined by the whole section of arc passing through the left end point of the arc and the end point of the tire shoulder and the y value of the tangent line passing through the left end point at the right end point of the arc; sequentially generating endpoint coordinates of each section of arc and corresponding circle centers; a tire shoulder arc Sn is generated through the tire shoulder endpoint, and a tread contour is formed.

The invention provides a fixed-wing aircraft, which takes a Karsi vertical coordinate system as a reference, takes a first plane formed by an X axis defined by the sailing direction of the fixed-wing aircraft and a Z axis defined by the gravity direction of the fixed-wing aircraft as a symmetry plane, and comprises an aircraft head, a fixed-wing aircraft body and a fixed-wing aircraft body, a fuselage; the main wing comprises a connecting part positioned at the rear part of the main wing, and the connecting part is used for connecting an air propulsion device; the air propulsion devices are connected with the main wings, each air propulsion device comprises an air guiding pipe, an air thruster and an air spraying pipe which are connected front and back in the X-axis direction, each air guiding pipe comprises an air inlet connected with the connecting part of the corresponding main wing, and the air inlets are used for guiding air into the air propulsion devices. According to the fixed-wing aircraft provided by the invention, the total lift force of the wings can be improved during cruising, and meanwhile, the maneuvering capability for supporting the fixed-wing aircraft to realize vertical / or short-distance take-off and landing and hovering is also provided.

The invention discloses a turnout switch rail section reduction value calculation method and system based on an actual measurement profile, electronic equipment and a storage medium, and belongs to the technical field of steel rail detection. In order to solve the problems of relatively poor measurement accuracy and relatively low efficiency of the section reduction value of the turnout switch rail, the method comprises the following steps: acquiring actually measured profile data of a stock rail and a switch rail measurement position; preprocessing the actually measured profile data, and forming profile data; executing a discrete difference calculation step; determining a point rail stock rail gap point according to the discrete difference curve; the highest points on the two sides of the open joint point are screened out, and the corresponding ordinate difference value is calculated; and determining a reduction value according to the vertical coordinate difference value. According to the method, the point rail reduction value is calculated based on the actually measured profile data, operation is easy, the environment requirement is low, efficiency is high, and precision is high.

The invention discloses an excavator operation pose monitoring method, system and equipment and a medium, and relates to the field of excavators. The method comprises the following steps: processing a video by using a rotating target detection model to obtain four-dimensional coordinates and a rotating angle of a forearm; the first distance between the tail end of the forearm and the cab is obtained according to the four-dimensional coordinates and the rotation angle, the first height of the tail end of the forearm is calculated according to the width and the vertical coordinates of the tail end of the forearm in the image frame of the video in combination with the height from the camera to the ground and the first distance, and the second distance and the second height are obtained through correction of the gradienter; working point coordinates of the tail end of the forearm are obtained according to cab positioning information, azimuth angle information, the second height and the second distance; when the working state of the excavator bucket is changed, working information is recorded, and whether the state of the excavator is normal or not is detected according to the working information. By implementing the technical scheme provided by the invention, the precision and reliability of monitoring the operation pose of the excavator are improved.

The invention relates to a microlens array spherical aberration correction method based on a high-order linear ordinary differential equation. The problem that an existing microlens array spherical aberration correction method is poor in microlens array spherical aberration correction effect is solved. The method comprises the following steps: firstly, establishing a high-order linear ordinary differential equation used for describing a single-lens light propagation path in a micro-lens array, and introducing a non-constant coefficient function; based on a set initial condition and the obtained pixel initial coordinates of the element image array, solving a simultaneous equation of the light field space geometrical relationship and a high-order linear ordinary differential equation by utilizing a formulation reduced-order iterative numerical solution algorithm to obtain an aberration matrix of the element image array; and feeding back the aberration matrix to a spatial function of the element image array mapped to the light field, and changing the pixel horizontal coordinate and vertical coordinate positions of the corresponding element image according to the distance from the pixel point to the optical axis of the corresponding lens to complete the spherical aberration correction of the microlens array. According to the invention, the spherical aberration correction capability of the integrated imaging system can be improved, and the stereo imaging quality is improved.

The present invention discloses a method for removing dark corners of an image. The method comprises the following steps: Step 1, processing the dark corner image entropy value by logarithmic mapping: mapping the image brightness to [0, N-1] according to the logarithmic mapping formula i(L)=(N-1)log(1+L) / log 256, where L represents the image brightness and N is a parameter; then performing histogram information statistics on the mapped brightness according to the formula #imgabs0##imgabs1# to obtain the corresponding values ​​of each brightness of the image, where x, y are the horizontal and vertical coordinates of the pixel point, and n is the horizontal and vertical coordinates of the pixel point. k is a histogram element; step 2, dimming the image processed in step 1 to reduce the brightness. The method of the present invention has the characteristics of high energy efficiency while greatly improving the computing speed.

The invention relates to an ice prism detection system on a power transmission line. The system comprises a data operation device which is used for inputting horizontal coordinate values and vertical coordinate values of all pixel points of an ice prism in a received gradient filtering image, an overall depth-of-field value of the ice prism in the gradient filtering image and the total number of pixel points occupied by the ice prism in the gradient filtering image into an AI identification body in parallel, obtaining a current length value corresponding to the output ice prism; and the early warning transmission device is used for wirelessly transmitting an ice prism exceeding early warning signal when the current length value corresponding to the ice prism exceeds the limit. According to the system, a data operation device which comprises a network training device, a multi-parameter analysis device and a length identification device and is designed in a targeted manner is introduced and is used for completing intelligent identification processing on a current length value corresponding to an ice prism by adopting an AI identification body, so that key data is provided for detection of the overlong ice prism.

The invention relates to the technical field of computer vision, and discloses a personnel positioning method and device based on monocular vision, equipment and a storage medium, which are used for reducing the hardware deployment cost of personnel positioning and improving the personnel positioning accuracy. The monocular vision-based personnel positioning method comprises the following steps of: estimating depth information by utilizing a depth detection model, and determining an actual vertical distance from a ground contact point to a monocular camera and an actual horizontal distance of a horizontal point pair; fitting the depth information and the actual vertical distance through a polynomial regression equation so as to determine a vertical coordinate mapping relation of the pixel coordinates in a camera reference coordinate system; determining a horizontal coordinate mapping relation according to the actual horizontal distance of the horizontal point pair and the pixel pitch of the horizontal point pair; and determining target positioning information through a coordinate system conversion matrix between the working position and the correction position in combination with the vertical coordinate mapping relation, the horizontal coordinate mapping relation and the relative position information.

The invention discloses a method and system for detecting surface defects of power equipment based on machine learning, and belongs to the technical field of defect detection.The method specifically comprises the steps that a target area is set, and an infrared monitoring video and an optical monitoring video of a power transmission line are obtained in real time through an unmanned aerial vehicle; the method comprises the following steps of: framing an infrared monitoring video according to a preset frame length, selecting any infrared image and inputting the selected infrared image into a preset equipment identification model to obtain an equipment image, generating a positioning frame of any power transmission line, acquiring an infrared temperature and a positioning frame width of any power transmission line, constructing a point location map by taking the positioning frame width as a horizontal coordinate and the infrared temperature as a vertical coordinate, and identifying the equipment image according to the point location map. And fitting the point map to obtain a fitting function, correcting the infrared temperature of any power transmission line, determining a target infrared image, extracting an optical image corresponding to the target infrared image, and substituting the optical image into a preset defect identification model to obtain an equipment defect identification result of the power transmission line.

The invention discloses a gas leakage rate temperature compensation method and system based on an internet-of-things gas appliance, and belongs to the technical field of gas metering. The method specifically comprises the steps that a monitoring period is set, and monitoring data of an internet-of-things ultrasonic gas meter in the monitoring period is obtained in real time; clustering the monitoring data by taking the gas temperature and the pipeline pressure as feature vectors to generate a plurality of category clusters; selecting any category cluster, acquiring external temperature data and gas flow data corresponding to all feature points in the category cluster, constructing a point location diagram by taking the external temperature data as a horizontal coordinate and the gas flow data as a vertical coordinate, and fitting the point location diagram to obtain a fitting function; monitoring data of the current Internet of Things ultrasonic gas meter are obtained, the gas flow data are corrected according to the fitting function, and final gas flow data are obtained; according to the invention, the gas metering precision is improved, and the possibility of misjudgment and missed judgment of gas leakage is reduced.

The invention discloses a chip unit detection method and apparatus, an electronic device and a storage medium. The detection method comprises the steps of determining a preset pixel coordinate of each chip unit and a preset pixel coordinate of each positioning hole on a substrate; determining a first image of the substrate; determining a pixel coordinate of each positioning hole in the first image; determining an image mapping relation according to the pixel coordinate of each positioning hole and a preset pixel coordinate; determining a pixel coordinate of each chip unit; determining a second image; determining a horizontal coordinate and a vertical coordinate of a mark point of each chip unit according to the second image; acquiring a preset abscissa and a preset ordinate of the preset physical coordinates of the mark point of each chip unit; and detecting all the chip units at the same time, and determining that the product is a good product under the condition that the difference value between the abscissa and the preset abscissa is smaller than a first difference value and the difference value between the ordinate and the preset ordinate is smaller than a second difference value. According to the invention, the substrate can be automatically detected, and the detection efficiency and accuracy are improved.

The invention belongs to the technical field of ocean engineering, and provides a deep sea riser spatial configuration inversion method. Dividing the deep sea riser into a plurality of pipe section units by taking the tilt angle sensor as a node; discretizing each pipe section unit into a plurality of infinitesimal sections, and projecting each infinitesimal section in a horizontal coordinate system and a vertical coordinate system to obtain a space curve length equation of each pipe section unit; constructing projection expressions of the space curve of each pipe section in a horizontal coordinate system and a vertical coordinate system in combination with inclination angle information; relative coordinates of the upper end point and the lower end point of each pipe section unit in the pipe section unit local coordinate system where the pipe section unit is located are solved through iteration; and converting the relative coordinates of each pipe section unit in the local coordinate system of each pipe section unit into absolute coordinates under the global coordinate system, and integrating the absolute coordinates of each pipe section unit under the global coordinate system to obtain the deep sea riser spatial configuration. The method realizes spatial configuration reconstruction of the riser in a complex marine environment, and has higher robustness.

The invention discloses an ileum bladder replacement stoma preoperative positioning method based on CT body surface projection. The ileum bladder replacement stoma preoperative positioning method comprises the following steps that S1, region division is conducted on the abdomen; s2, externally adhering developing grid paper to the lower right abdomen of the patient, wherein the developing grid paper is consistent with the human body coordinate system of the lower right abdomen; s3, performing CT scanning on the right lower abdomen of the patient, and establishing a horizontal and vertical coordinate system in an image generated by CT scanning; s4, a plurality of rectus abdominis outer edge positioning points are marked in the foot side direction; s5, inputting the horizontal coordinate values of the plurality of rectus abdominis outer edge positioning points into a laser positioning system on the CT machine tool, finding corresponding longitudinal grid lines on the developing grid paper according to the longitudinal coordinate values corresponding to the horizontal coordinate values and the path information, and dotting and marking on the abdominal skin; s6, the rectus abdominis outer edge positioning points are connected into a line, projection marking is completed, and therefore a final stoma positioning area is determined.

The invention provides a deep sea underwater sound long baseline navigation method and system, relates to the technical field of underwater navigation, predicts the position and speed at the current moment on the basis of the position and speed predicted value of an underwater vehicle at the previous moment, and comprises the following steps: predicting the position and speed of the underwater vehicle at the previous moment through an improved sound ray tracking method on the basis of the position and speed predicted value of the underwater vehicle at the previous moment; calculating a distance observation value between the underwater vehicle and the seabed base station at the current moment; calculating the geodetic height observation value of the underwater vehicle by using the real-time depth observation value of the underwater vehicle; the distance observation value and the geodetic height observation value are substituted into a constructed observation model, and prediction of the position and the speed at the current moment is obtained through Kalman filtering solution; according to the method, the sound ray tracking stability and the earth curvature are considered, distance measurement errors caused by sound ray bending and vertical coordinate deviation and length deformation caused by the earth curvature are corrected, the sound ray tracking stability is improved, and the navigation precision is improved.

The invention discloses a dynamic layout method and system for washing label printing and a medium, and the method comprises the steps: obtaining definition data of a draft template, including initial attributes of a plurality of layout elements; determining a rendering sequence of the layout elements; constructing a dependency relationship among the layout elements based on the rendering sequence, wherein the dependency relationship is used for identifying a response element corresponding to each layout element; obtaining label data to be rendered, wherein the label data comprises multi-language text data and variable data; traversing the layout elements in sequence, and performing line feed processing on the text elements based on the corresponding multi-language text data to determine the actual occupation height of the text elements; for the bar code element, performing centering positioning processing based on the corresponding variable data, and determining the horizontal position of the bar code element; identifying the trigger element with the actual occupation height different from the initial occupation height; calculating the placeholder height variation of the trigger element, and dynamically adjusting the vertical coordinate of the response element corresponding to the trigger element based on the dependency relationship and the placeholder height variation; and generating and outputting a printed draft of the washing label.

The invention provides an industrial site soil pollutant concentration prediction method using three-dimensional distribution interpolation, and belongs to the field of soil pollution prediction, and the method comprises the following steps: S1, extracting soil pollution distribution characteristics based on sample point positions and attribute information; s2, measuring the anisotropy of the pollution concentration value in the two directions by estimating the ratio R of the vertical direction gradient to the horizontal direction gradient of the soil pollutant concentration through the soil sample point pollution concentration and a difference method, and multiplying the z value in the original coordinate space by the R by taking the R as an expansion factor to obtain a new vertical coordinate value; s3, expanding the spatial position representation module of the DKNN from a two-dimensional space to a three-dimensional space; s4, selecting a space encoder; and S5, on the basis of the spatial encoder, performing spatial prediction by using a general Kriging equation. According to the method, a GeoAI framework based on deep learning and geoscience knowledge fusion is introduced and expanded, the problem of three-dimensional distribution simulation of industrial site soil pollutants can be solved, and soil pollution can be accurately predicted.

The invention belongs to the field of helicopter strength design, and relates to a time domain correlation atlas analysis method for bending moments of different cross sections of a helicopter rotor shaft. The method comprises the following steps: extracting actual measurement data of rotor shaft bending moment measurement strain gauges on all cross sections under a specific working condition, and constructing a bending moment data matrix Mm of each cross section according to geometric arrangement of the rotor shaft bending moment measurement strain gauges; wherein each cross section has actually measured data with two orthogonal channels; forming a measuring point horizontal coordinate and a measuring point vertical coordinate of a Cartesian coordinate system by the data at the same moment in the two groups of measured data of the channels in the same direction of the different cross sections, or forming the measuring point horizontal coordinate and the measuring point vertical coordinate of the Cartesian coordinate system by the data at the same moment in the two groups of measured data of the channels in the different directions of the different cross sections; drawing positions of all measuring points on the time domain to obtain a time domain correlation graph; obtaining a helicopter rotor shaft bending moment correct measurement data time domain correlation graph normal form with the same working condition and the same number of rotor support arms; and comparing the time domain correlation graph with the time domain correlation graph normal form.