305 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 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 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.

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 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 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 technical field of thunder and lightning signal noise reduction, and particularly relates to a noise reduction method and noise reduction system for very low frequency thunder and lightning signals and a storage medium. The noise reduction method comprises the steps of obtaining a plurality of position points of a current mixed lightning signal in a dung beetle algorithm after the mixed lightning signal is obtained; after a position point corresponding to the minimum envelope entropy in the current mixed lightning signal is calculated based on a VMD algorithm, the abscissa and the ordinate of the position point corresponding to the minimum envelope entropy are respectively recorded as an optimal decomposition mode number and an optimal penalty factor; decomposing the current mixed lightning signal into a linear superposition form of a plurality of decomposed signals by using a VMD algorithm based on the optimal decomposition mode number and the optimal penalty factor; after the decomposition signals representing the noise are removed, linear superposition of the remaining decomposition signals is reconstructed, and the very-low-frequency thunder and lightning signals are obtained. According to the method, the noise signal deeply coupled with the very low frequency lightning signal can be efficiently and accurately removed, and the real very low frequency lightning signal is restored.

The application provides a human transcranial ultrasound irradiation method, device, electronic equipment and storage medium. The target head sagittal plane tomographic image and the transverse plane tomographic image are acquired; a vertical coordinate system is established based on the sagittal plane tomographic image, and the target point coordinates of the insula in the vertical coordinate system are determined; based on the transverse plane tomographic image, the horizontal distance from the insula to the target head brain midline is measured; the world coordinate point of the insula is mapped in the world coordinate system according to the target point coordinates and the horizontal distance; and the ultrasound transducer is controlled to irradiate the real position of the insula, so that accurate targeted irradiation can be realized, the use cost of the low-intensity focused ultrasound technology is effectively reduced, and the operation is simpler.

The embodiments of this specification disclose a point cloud calibration method, device and medium for a robot depth camera, the method comprising: placing the depth camera in a ground observation environment, controlling the robot coordinate system and the depth camera coordinate system to perform step iterations of a first rotation increment and a second rotation increment, respectively, to determine a first calibration rotation increment and a second calibration rotation increment; performing step iterations of a third rotation increment on the depth camera under the first calibration rotation increment and the second calibration rotation increment, to obtain a third calibration rotation increment of the depth camera; obtaining the median value of the vertical coordinates in each ground point cloud data collected by the depth camera, to obtain a first calibration displacement increment of the depth camera; placing the depth camera in a preset target observation environment, to determine a second calibration displacement increment and a third calibration displacement increment of the depth camera based on a preset adjustment strategy, to achieve calibration of the depth camera according to a relative angular coordinate relationship and a relative coordinate relationship.

The application belongs to the technical field of building structure damage identification, and particularly relates to a model-free detection method for lateral stiffness mutation position of a high-rise structure, comprising the following steps: step one, obtaining the displacement time history response of the same height interval measuring points in the same vertical line of the high-rise structure in the same horizontal direction; step two, calculating the second-order statistical moment of the relative displacement of each measuring point according to the time history response, and solving the lower-to-upper value corresponding to the statistical moment of the measuring point; step three, taking the height of each measuring point as the horizontal coordinate and the lower-to-upper value corresponding to the statistical moment of the measuring point as the vertical coordinate to draw a curve; and step four, observing the mutation of the curve to identify the lateral stiffness mutation position.

The invention provides a converter copper smelting sampling drill rod image correction and extraction method and system, and belongs to the technical field of converter copper smelting. The method comprises the steps that a sampling drill rod RGB image is collected and scaled, and a preprocessed image is obtained; extracting a red channel and a blue channel of the preprocessed image, calculating a difference image, and carrying out binarization threshold processing to generate a preliminary binary mask; performing morphological corrosion operation and connected domain analysis on the preliminary binary mask, and removing a background connected domain to obtain an accurate binary mask; on the precise binary mask, selecting a sampling column and calculating a vertical coordinate centroid to obtain a two-dimensional coordinate point set; performing linear fitting on the two-dimensional coordinate point set to obtain a mathematical equation, and calculating the inclination angle and the center point of the drill rod; and taking the center point as a rotation center, performing affine transformation on the preprocessed image based on the inclination angle, and taking the center point of the drill rod after rotation correction as a reference to cut a standardized drill rod image. According to the invention, automatic correction and extraction of the drill rod image are realized, precision is improved, and safety is enhanced.

The present application belongs to the technical field of road construction materials, and relates to a method and device for testing the interaction of a sandwich structure asphalt aggregate interface by means of a pull-out test, the method comprising: S1, using a set aggregate type and asphalt type, producing a plurality of sandwich structure standard test pieces; S2, obtaining an interaction standard value and a bonding strength standard value, and constructing a standard database; S3, according to the constructed standard database, taking the bonding strength standard value as the horizontal coordinate and the interaction standard value as the vertical coordinate, constructing a standard model of the interaction and the bonding strength; S4, producing a sandwich structure test piece to be tested, obtaining a bonding strength test value, substituting the bonding strength test value into the standard model of the interaction and the bonding strength, and calculating an actual interaction value. The present application tests the interaction of a sandwich structure asphalt aggregate interface by means of a pull-out test, so that the test of the interaction is simpler, and the performance of the interaction between the asphalt-aggregate interface can be well reflected.

In a vertical coordinate system defined by a first direction, a second direction, and a third direction perpendicular to each other, there is provided a battery pack including: a plurality of battery cells stacked in the first direction; and a pack case that houses the battery cells in an internal space, wherein at least a pair of adjacent battery cells among the battery cells each include an electrode assembly, a cover that surrounds the electrode assembly, and a cell lead that protrudes from one side of the cover in the second direction, the cell lead including a first portion that is relatively close to the cover and a second portion that is relatively farther away from the cover, wherein a maximum dimension of the second portion in the first direction is greater than a maximum dimension of the first portion, and the second portion is configured as a plane perpendicular to the third direction.

The application discloses an online checking method and system for an SF6 gas detector, and the method comprises the following steps: controlling a standard gas source to output an asymmetric triangular concentration waveform, wherein the rising rate of the waveform is not equal to the falling rate; collecting real-time concentration of the detector; drawing rising and falling response curves with standard concentration as the horizontal coordinate and real-time concentration as the vertical coordinate; calculating the deviation area between the two curves and an ideal straight line; if the area ratio is not greater than a dynamic threshold, extracting all intersection points of the two curves and sorting them; calculating the algebraic area of the region surrounded by adjacent intersection points to generate a surrounding area symbol string; and determining the fault type according to the intersection point number parity and zero value, intersection point horizontal coordinate interval dispersion degree and symbol string distribution according to the topological classification rule. The asymmetric excitation fully exposes the adsorption-desorption asymmetric characteristics of the sensor, and the response curve topological characteristics realize online identification and classification of baseline separation, translation drift, response lag, nonlinear superposition and noise jamming and the like.

The present application provides a method for benchmarking and base installation of an ultra-long shaft system, comprising: S1, locating and surveying the bow and stern reference points of the shaft system in the hull; S2, surveying a coordinate system in the hull with the bow and stern reference points as references, and surveying the position of the intermediate light target in the surveyed coordinate system; S3, pulling the axis steel wire with the surveyed bow and stern reference points and the intermediate light target as references; S4, calculating the three-dimensional coordinates of the shaft system base in the surveyed coordinate system, locating the longitudinal coordinates of the shaft system base with the intermediate light target as reference, and locating the transverse and vertical coordinates of the shaft system base with the axis steel wire as reference; S5, according to the calculated transverse, longitudinal, and vertical coordinate values, cutting a preset margin at the bottom of the shaft system base, and then positioning and installing the shaft system base. This method solves the problem that traditional laser theodolites cannot meet the accuracy requirements within an ultra-long range and the problem that the base positioning is difficult due to the longitudinal inclination angle and flared angle of the ultra-long shaft system.

The application discloses a molten silicon liquid level estimation method based on a hybrid adaptive resampling particle filter, and comprises the following steps: firstly, processing laser spot images collected by a CCD sensor to obtain observation data of the liquid level; then, establishing a system state equation of the molten silicon liquid level according to a kinematic principle to describe the movement of the liquid level; performing state estimation on a laser centroid vertical coordinate by using a particle filter algorithm, and obtaining a new particle set by using a hybrid adaptive resampling method; after re-normalizing all particle weights, outputting an optimal estimation value; and finally, smoothing the filtered data by using a moving weighted average method, and the smoothed result is the estimation value of the molten silicon liquid level. The application solves the problem that in the prior art, the variance of Gaussian variation is too large, particles jump out of a sampling range, and it is difficult to accurately estimate a real liquid level.

The present invention provides a method for human figure segmentation based on deep learning. An image is input into the backbone of a deep neural network to generate high-order features corresponding to the image. Subsequently, multiple parallel branches are connected to the feature output end of the neural network to respectively predict the center position of the human figure in the image's circumscribed rectangular frame, the width and height, and the vertical coordinate offset of the dividing line that divides the human figure relative to the center position of the human figure's circumscribed rectangular frame. The horizontal dividing line is drawn by adding the above-mentioned predicted coordinate offset and the vertical coordinate of the center position, and the human figure frame is divided into three parts, each corresponding to the head, upper body, and lower body of the human figure. Compared with the traditional human figure segmentation method that performs detection and segmentation separately and divides the area by artificially constructed features, the method of the present invention is simple in steps, easy to implement, and has higher segmentation accuracy. At the same time, it has a huge advantage in execution efficiency and is more conducive to the subsequent analysis of various appearance attributes of the human figure.

The application belongs to the field of helicopter strength design, and relates to a rotor shaft cross section moment time domain correlation graph analysis method of a helicopter. The method comprises the following steps: extracting measured data of rotor shaft moment measuring strain gauges on all cross sections under a specific working condition, constructing a moment data matrix M of each cross section according to the geometric arrangement of the rotor shaft moment measuring strain gauges m ; wherein each cross section has two-channel orthogonal measured data; forming data of the same time in two groups of measured data of the same direction channels of different cross sections into a measuring point horizontal coordinate and a vertical coordinate of a Cartesian coordinate system, or forming data of the same time in two groups of measured data of different direction channels of different cross sections into a measuring point horizontal coordinate and a vertical coordinate of a Cartesian coordinate system; drawing positions of all measuring points in the time domain to obtain a time domain correlation graph; obtaining a rotor shaft moment correct measurement data time domain correlation graph paradigm of a helicopter with the same working condition and the same number of rotor arms; and comparing the time domain correlation graph with the time domain correlation graph paradigm.

The application discloses a circuit breaker contact ablation state decoupling evaluation method, comprising the following steps: S1: collecting the static pressure value of the spring in the energy storage maintaining state and the main circuit breaking current signal. S2: calculating the mechanical arcing time and the total arcing time, and obtaining the electrical arcing time by using a coupling model, i.e. S3: setting the static pressure threshold value, the total arcing threshold value and the electrical arcing threshold value, and establishing the circuit breaker contact state judgment criterion related to the static pressure value, the total arcing time and the electrical arcing time. S4: according to the circuit breaker contact state judgment criterion, finding the fault point in the two-dimensional coordinate system with the static pressure value as the horizontal coordinate and the electrical arcing time as the vertical coordinate. The application can effectively eliminate the interference of the mechanical motion speed change on the arcing time, realize the independent decoupling evaluation and accurate quantification of the contact body ablation state, and thus eliminate the ambiguity of fault diagnosis.

The application discloses a kind of based on parameterization shape's deformation character dynamic typesetting rendering method and system, the method includes: according to the preset intensity parameter value range of character rendering, respectively generate corresponding Bezier curve discrete sampling dataset;The curve sampling data corresponding to each intensity parameter is converted into rgb color value, and is stored in texture carrier or using texture array according to line;Synchronous generation auxiliary array, store the maximum vertical coordinate value in the curve sampling data corresponding to each intensity value;The horizontal typesetting processing of to-be-rendered character is carried out, generates temporary image and records original width and height;According to the selected intensity parameter, obtain the corresponding maximum vertical coordinate value in auxiliary array, calculate target image height;Temporary picture, intensity parameter, original width, target image height and rgb color value are input into shader program, and are mapped to Bezier curve deformation space, generate final rendering image.The application can realize efficient, diversified character deformation rendering.

The invention provides a method, a system and a device for generating a two-dimensional Lagrange velocity field, which can be applied to the technical field of fluid mechanics. The method for generating the two-dimensional Lagrange velocity field comprises the steps that molecular marker displacement images are obtained, and the molecular marker displacement images comprise images, collected at different moments, of light-emitting lines generated by tracer molecules in a flow field; discretizing a plurality of light-emitting line images in the molecular marker displacement image to obtain a pixel abscissa and a pixel ordinate of each characterization point in each light-emitting line image; according to pixel horizontal coordinates and pixel vertical coordinates of multiple groups of characterization points in any two adjacent light-emitting line images in the molecular marker displacement image, the instantaneous speed of the target position corresponding to each group of characterization points is obtained through calculation; and generating a two-dimensional Lagrange velocity field corresponding to the tracer molecule based on the instantaneous velocities at the target positions respectively corresponding to the plurality of groups of characterization points in the molecular marker displacement image.

The invention relates to the field of imaging correction, and provides a three-dimensional drift correction method and system for a single-molecule localization super-resolution image, and the method comprises the steps: carrying out the high-speed photographing, and obtaining imaging data; obtaining grouped imaging data including a reference group and a calibration group, and performing neighbor distance point matching in the reference group according to the search area to obtain matched fluorescent points; respectively obtaining a plane average offset and a vertical average offset, and carrying out iteration to obtain a rough correction plane relative displacement and a rough correction vertical relative displacement; performing coarse calibration on the fluorescent points in the calibration group to obtain coarse calibration fluorescent points, selecting the nearest fluorescent point closest to the coarse calibration fluorescent points, calculating a relative plane position difference and a relative vertical position difference, and solving a vector average sum to obtain fine calibration plane relative displacement and fine calibration vertical relative displacement; according to the method, a plane coordinate drift curve and a vertical coordinate drift curve are obtained respectively, imaging data are corrected, and a high-precision corrected fluorescence image can be obtained.

The invention discloses an operation route editing method, device and equipment and a storage medium, and relates to the technical field of unmanned equipment. According to the technical scheme, the method comprises the steps that a three-dimensional view and a corresponding top view are displayed in an editing interface, the three-dimensional view and the top view comprise a to-be-edited operation route, and the operation route comprises a plurality of waypoints; adjusting horizontal coordinates of corresponding waypoints in the three-dimensional view and the top view in response to a first movement operation on the waypoints in the top view, and / or adjusting vertical coordinates of the corresponding waypoints in the three-dimensional view and the top view in response to a second movement operation on the waypoints in the three-dimensional view; and correspondingly adjusting the operation route according to the horizontal coordinates and the vertical coordinates of the adjusted waypoints. By means of the technical means, the problem that in the prior art, when a three-dimensional operation route is edited through a two-dimensional screen, movement is prone to being inaccurate is solved, and the editing accuracy and editing efficiency of the operation route are improved.

The present application discloses an object size measurement method, related devices, an X-ray security inspection machine, and a storage medium. The object size measurement method includes: detecting a first scanned image of an object to be measured on an inspection channel by an X-ray security inspection machine to obtain a detection result, and acquiring device parameters including at least a scaling factor when the X-ray security inspection machine forms an image; obtaining a physical distance between a first intersection point of a first light ray on the inspection channel and a second intersection point of a second light ray on the inspection channel based on the scaling factor and a coordinate difference; establishing a target coordinate system with the center of the target ellipse as the origin, the direction of the major axis of the target ellipse as the horizontal coordinate axis, and the direction of the minor axis of the target ellipse as the vertical coordinate axis; constructing a first equation of the first light ray and a second equation of the second light ray based on the target coordinate system; and solving for a physical radius based on the first equation, the second equation, and the physical distance. The above solution can automatically and accurately measure the physical radius of an object to be measured during the security inspection process.

An autonomous drone swarm system and method for subterranean and GPS-denied operations utilizing artificial intelligence for coordinated operations comprises command drones equipped with large language model processors and subordinate drones coordinated through a hierarchical Queen-Worker architecture. The system processes natural language commands, generates autonomous mission plans, and coordinates multi-drone operations through an encrypted self-healing mesh communication network utilizing multiple modalities including radio frequency, optical, acoustic, and visual channels. A Unified Ground Frame with Surface-Referenced Z (UGF-SRZ) coordinate system provides signed vertical coordinates enabling seamless operation across surface and subterranean environments. GPS-denied navigation combines multi-sensor dead reckoning, collaborative positioning, and distributed mapping with fog-layer processing for enhanced accuracy. The system implements federated learning protocols for distributed AI improvement, fault-tolerant operation with automatic leader election, and specialized adhesion Workers functioning as persistent infrastructure nodes.

The invention provides a river section form adjustment mode judgment method and system based on centroid coordinate relative amplitude variation, and the method comprises the following steps: 1, calculating centroid horizontal coordinates and centroid vertical coordinates under a flat beach water level based on the fixed section topographic data of a target river reach; 2, calculating the relative amplitude of the centroid horizontal coordinate relative to the flat beach river width and the centroid vertical coordinate relative to the flat beach water depth in each year; and step 3, judging the river section form adjustment mode based on the relative amplitude of the centroid horizontal coordinate relative to the flat beach river width and the centroid vertical coordinate relative to the flat beach water depth. According to the method, the adjustment difference of different river channel section forms can be more effectively identified, and the scientific cognition on the section form adjustment rule is expanded.