32 results about "Vertical coordinate" patented technology

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 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 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.

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.

This invention relates to the field of electric vehicle positioning, and more particularly to a remote satellite positioning method and system for electric vehicles. The method includes the following steps: acquiring electric vehicle positioning signals and constructing a positioning signal sequence; performing multi-segment signal spatial coordinate calculations based on the positioning signal sequence to generate standardized location coordinates; performing public map scene type analysis on the standardized location coordinates to generate scene recognition results; the scene recognition results include open scenes and three-dimensional floor scenes; when the scene recognition result is an open scene, performing adaptive environment rendering to generate a visualized positioning scene; when the scene recognition result is a three-dimensional floor scene, performing vertical coordinate transformation and three-dimensional spatial positioning calculations on the positioning signal sequence to output visualized floor positioning information. This invention achieves real-time and accurate intelligent positioning of electric vehicles, quickly guiding users to efficiently find their vehicles.

A kind of open pit model dynamic updating method based on real-time positioning of excavator and SDF belongs to the technical field of digital mine. The initial pit triangular mesh model is voxelized to generate a three-dimensional symbolic distance field based on the definition of vertical coordinate symbol. The three-dimensional positioning data of the center of rotation of the excavator is collected in real time through the GNSS-RTK positioning module, and the working state is judged based on the preset time window and displacement threshold. When the excavator switches from displacement state to digging state, a spherical mining influence domain is constructed with the current positioning data as the center of the sphere and the maximum digging radius as the radius, and the voxel symbol distance field value in the domain is set to 0. A control point set is constructed by boundary constraint points and background constraint points, and global symbol distance field smoothing reconstruction is realized by using radial basis function interpolation. The zero value isosurface is extracted by moving cube algorithm to generate the updated pit model. The present application realizes high-frequency model updating synchronized with operation, has low deployment cost and strong robustness, and solves the problems of model updating lag and visualization penetration.

The application discloses a free-form surface optical imaging method and system, and relates to the technical field of true three-dimensional technology; the technical points are as follows: acquiring light field source data; forming optical emission parameters, and constructing a three-dimensional physical coordinate sequence based on a discretized three-dimensional voxel set; collecting a surface equation parameter of the free-form surface and a physical distribution parameter of a light field projection array; arranging an optical path transmission matrix according to four dimensions of a light source horizontal coordinate, a light source vertical coordinate, a target space horizontal coordinate and a target space vertical coordinate to obtain an initial four-dimensional light ray transmission tensor; calling a tensor decomposition operator to perform dimension reduction processing on the four-dimensional light ray transmission tensor to generate a spatial modulation characteristic base matrix; generating a modulation driving flow based on the light field source data and the spatial modulation characteristic base matrix; driving the light field projection array to output a modulation light field according to the modulation driving flow; and the modulation light field is reflected or transmitted by the free-form surface and converges at a specified physical space position to form a spatial three-dimensional pixel; and the application improves the precision and definition of true three-dimensional imaging.

The application discloses a qualitative identification method for thin-layer mudstone interlayer in volcanic rock, which comprises the following steps: firstly, determining a mudstone section stably existing in the whole area through core observation and logging data, and taking the mudstone section as a standard section; secondly, selecting three curves (a neutron logging curve, an acoustic time difference logging curve and a density logging curve) responding best to the mudstone, standardizing logging curves of the standard section and the volcanic rock section in the whole area, and determining the peak value and the distribution range of the logging curves; selecting sample points with the best effect in the mudstone section and the volcanic rock section, taking the acoustic time difference logging curve as the horizontal coordinate, and taking the neutron logging curve and the density logging curve as the vertical coordinate respectively to establish a logging interpretation chart, qualitatively determining the identification standard of the mudstone and the igneous rock, and predicting the mudstone interlayer in the volcanic rock in a single well according to the chart. The application solves the problem of qualitative identification of the thin-layer mudstone interlayer in the volcanic rock, and provides reliable technical support for the analysis of the remaining oil potential of the igneous rock.

This invention discloses an adaptive cable winding detection method, applicable to a detection environment consisting of a linear red laser, a laser rangefinder, a filter, an industrial camera, and an industrial control computer. The method includes: 1. calibrating the image acquired by the industrial camera; 2. performing real-time analysis of the pixel data of the cable under test acquired by the industrial camera, calculating the vertical coordinate difference of the pixels; 3. applying the calibration results to calculate the actual vertical coordinate difference of the cable under test; and 4. calculating the required offset adjustment of the motor of the cable under test. This invention has a simple structure and is easy to operate. It can detect and predict the winding of cables in real time, update the cable winding offset direction in real time, and improve the problem of excessively large or small intervals during cable winding, thereby improving the efficiency of cable winding.

The application discloses an automatic excitation hammer for pile foundation detection by the side-hole transmission wave method and relates to the technical field of pile foundation detection. The automatic excitation hammer comprises a stratum, a detection cylinder arranged on the stratum, a pile foundation arranged in the stratum, a building outer wall arranged on the pile foundation, an excitation hammer for hammering the building outer wall to generate vibration waves of the pile foundation, the excitation hammer and the building outer wall being arranged vertically, and an excitation unit arranged on one side of the excitation hammer, a detection table arranged on the stratum, and an oscilloscope arranged on the detection table. After correction formula calculation, the pile depth corresponding to the inflection point vertical coordinate on a time-pile depth broken line graph is the actual pile depth of the detected pile foundation, so that the depth detection of the pile foundation is completed. Meanwhile, the wave velocity obtained by the straight line slope above and below the inflection point on the time-pile depth broken line graph can also be used to analyze the pile body material and the properties of the soil layer below the pile bottom, respectively.

The application discloses a circuit board surface part visual detection method, equipment and system, determines the starting point and the end point of the motor driving multiple cameras to move simultaneously, controls the motor to move from the starting point horizontal coordinate to the end point horizontal coordinate, and records the first motor position when the IC distribution in the FOV of the multiple cameras meets the shooting complete IC condition in the traversal process. After the horizontal traversal is completed, the starting point horizontal coordinate is returned, the motor is triggered to move to the end point vertically once in the end point vertical coordinate range, the second motor position is determined when the IC distribution in the FOV of the multiple cameras meets the shooting complete IC condition, the horizontal traversal is triggered once again after the vertical movement is completed, and the shooting is triggered when the motor moves to the recorded motor position successively after the movement is completed. The application can perform independent IC detection according to the images shot by the cameras, does not need to perform image segmentation and splicing, reduces the false detection probability, and shortens the detection time.

The application discloses a vehicle seat adaptive adjustment algorithm setting method and system and electronic equipment, and comprises the following steps: establishing a human body model data based on a digital human body model, and obtaining corresponding human body model height data sets; selecting human body key part feature points based on the digital human body model, obtaining an optimal driving posture of the current human body model, taking the human body model height data sets as the horizontal coordinates of a coordinate system, and taking the difference between the human body key part feature points and seat design reference points as the vertical coordinates of the coordinate system; fitting and setting corresponding algorithms to obtain the adjustment amount of the seat. The application sets the seat adaptive adjustment algorithm based on a Chinese human body library, obtains the optimal human body posture for different heights, and establishes an adjustment algorithm through the human body feature points and seat adjustment reference points, so that the seat of a passenger with different heights can be adaptively adjusted to a suitable position after getting on the vehicle, the intelligent degree is improved, and the user experience is improved.

The application belongs to the technical field of deep sea navigation and positioning, and provides an inertial navigation close-coupled correction method and system based on time-sharing cooperative underwater acoustic beacons, which is characterized in that, during the navigation process of an AUV, a pure inertial navigation mode is adopted before the arrival of acoustic auxiliary information, inertial navigation is solved based on collected IMU data and depth sensor data, and the navigation state of the AUV containing accumulated errors is obtained; after the arrival of the acoustic auxiliary information, a combined navigation mode is switched to for solving, acoustic information is broadcasted by time-sharing cooperation of beacons at different positions, the horizontal distance between the AUV and each beacon is solved, and a vertical coordinate constraint is applied; the measured distance and the navigation state of the AUV containing accumulated errors are fused by a close-coupled filtering algorithm, the accumulated errors in the navigation state of the AUV are corrected, and the corrected positioning result of the AUV is obtained. Long-time navigation and high-precision underwater positioning of the AUV are realized.

The application provides a humpback sitting posture detection method, device and equipment and a storage medium. The method comprises the following steps: performing key point detection on a human body image of a target user, obtaining a nose key point and a double-eye key point of the human body in the human body image, and obtaining coordinate information corresponding to the nose key point and the double-eye key point by using a preset coordinate system; calculating a first average value according to the coordinate information corresponding to the nose key point and the double-eye key point, wherein the first average value is the average value of the sum of the vertical coordinate value of the nose key point and the vertical coordinate value of the double-eye key point in the human body image; judging whether the first average value is less than a standard average value, if yes, calculating a difference value between the first average value and the standard average value and judging whether the difference value is within a standard floating range, if yes, outputting a current sitting posture detection result of the target user as a humpback sitting posture based on the human body image. The method can be directly deployed in an application program, does not need to be matched with equipment and depends on a sensor, reduces the deployment difficulty and saves the hardware cost.

The application relates to a device for calculating the temperature difference in the steel billet heat treatment process, which comprises a curve plate, a horizontal slide mark and a vertical slide mark; the front surface of the curve plate is engraved with a beta curve and a C curve, the horizontal coordinate is Bi, the left vertical coordinate is beta, and the right vertical coordinate is C; the back surface of the curve plate is engraved with a curve and a cosbeta curve, the bottom horizontal coordinate is beta 2 The top horizontal coordinate is beta, the left vertical coordinate is the function value of an exponential function and a trigonometric function cosbeta; the horizontal slide mark is perpendicular to the horizontal coordinate and penetrates through the front and back surfaces of the curve plate and slides along the horizontal coordinate direction; the vertical slide mark is perpendicular to the vertical coordinate and penetrates through the front and back surfaces of the curve plate and slides along the vertical coordinate direction; the horizontal slide mark is not connected with the vertical slide mark and is independently arranged. The device mainly comprises the front and back surfaces of the curve plate, four coordinate curves are engraved on the two surfaces, the vertical coordinate value of each curve is obtained by using only one independent variable, the chart searching is simple, fast, convenient, the chart searching result is high in precision, and the internal maximum temperature difference in the steel billet heat treatment process can be quickly and accurately calculated.

The application provides an invoice data identification comparison method and device, and belongs to the technical field of document processing.The invoice data identification comparison method of the application embodiment combines the visual identification and coordinate extraction capability of a large language model, uses the vertical coordinate difference value to accurately restore the row and column logic of the invoice without relying on table lines, solves the problem of data fragmentation in the invoice image, improves the efficiency of automatic verification and cancellation through a multi-level matching strategy, ensures the accuracy of the verification and cancellation data, and thus an accurate verification and cancellation difference report can be efficiently obtained.

The present disclosure relates to an induction range calibration method, device, ceiling appliance, equipment and storage medium. The induction range calibration method determines the standing position of the target object as the vertex of the required calibration area, obtains the position of the vertex and determines the coordinates of the horizontal plane projection of the point. When the number of vertices obtained is equal to 2, the rectangle surrounded by the straight line where the horizontal coordinates of the two vertices are located and the straight line where the vertical coordinates are located is taken as the induction working range or the induction non-working range. When the number of vertices obtained is greater than or equal to 3, the polygon surrounded by connecting all the vertices in turn is taken as the induction working range or the induction non-working range. In this way, the range that needs to be calibrated can be determined, and the user can be prevented from accidentally triggering the induction device, thereby causing resource waste. At the same time, this method is simple and does not require manual measurement and calculation, thereby improving the user experience.

The application discloses a human standing long jump action evaluation method and device, medium and equipment, relates to the action evaluation field, and comprises the following steps: acquiring original coordinate data of a human key node, and determining coordinate data consistent with an actual height direction; based on the coordinate data, extracting a vertical coordinate average value of a corresponding key point of a foot as a whole palm position; determining a foot vertical speed by performing numerical first-order differentiation on the whole palm position of multiple frames in a standing long jump video; determining a take-off time and a landing time based on the foot vertical speed, and extracting a human motion trajectory in an air phase; fitting the human motion trajectory to determine a real motion trajectory; extracting a posture angle, a body index and a motion index in the real motion trajectory, taking the posture angle, the body index and the motion index as independent variables, and taking a standing long jump final posture estimation result as a dependent variable, and constructing a multiple linear regression model for standing long jump final posture estimation.

The application discloses a circuit breaker mechanical fault detection method based on coil current phase trajectory characteristics. The method comprises the following steps: collecting the coil current time series of the circuit breaker during the opening and closing process through high frequency; then performing first-order differential operation on the current time series to obtain the current change rate sequence; then constructing a two-dimensional phase plane coordinate system, taking the current amplitude as the horizontal coordinate and the current change rate as the vertical coordinate, and mapping the discrete time series into a closed phase trajectory curve; finally, extracting the geometric moment features and the contour smoothness index of the phase trajectory curve, and comparing with the reference phase trajectory features to realize the quantitative discrimination of the mechanical jamming, spring fatigue and lubrication failure of the operating mechanism. The application does not need to install external mechanical sensors, and can realize high sensitivity diagnosis of the mechanical state only by using electrical quantities, and has the advantages of small calculation amount, strong anti-interference ability and independence on absolute time synchronization.

A kind of UOE welded pipe bending edge roll angle online measurement method and device, it utilizes the point coordinate on the detected steel plate surface profile, determines the extension line H of steel plate lower surface horizontal section and the extension line V of bending edge straight section, and then calculates bending edge roll angle θ;Using the method for calculating profile curvature, the critical point a1 of steel plate profile lower surface horizontal section and edge bending section is extracted, then a2 is taken on the horizontal coordinate interval ha of steel plate lower surface horizontal section;Using the method for searching profile horizontal coordinate extreme value, the endpoint b1 of steel plate plate edge profile is extracted, then b2 is taken on the vertical coordinate interval hb of steel plate bending edge straight section profile;Using the coordinates of a1, a2, the equation of straight line H is calculated;Using the coordinates of b1, b2, the equation of straight line V is calculated, and the included angle of H and V can be obtained to obtain bending edge roll angle θ.

The application discloses an interface recognition method and system based on minimum dynamic mean difference, and belongs to the technical field of image processing and geophysical prospecting. The method divides geophysical prospecting images into vertical strips with a single-pixel width, and sequentially recognizes candidate interface points with color depth meeting requirements in each strip; starting from the leftmost strip, the minimum vertical coordinate point is taken as an initial target point; for subsequent strips, the average value of the vertical coordinates of the recognized target points is dynamically calculated, the candidate points are compared with the average value, and the point with a difference within a tolerance threshold or the minimum difference is selected as a current target point; finally, all the target points are connected to form a continuous and smooth target interface. The application can automatically and accurately recognize the bottom interface in geophysical prospecting images, has strong anti-interference capability, and is suitable for batch processing of geological radar, seismic profile and other data.

The application discloses a health state pre-diagnosis method of a hydraulic actuator and relates to the technical field of hydraulic control, which comprises the following steps: acquiring real-time working condition parameters such as target equipment load pressure, working oil temperature and control instruction current; generating a pressure pulse sequence according to the control instruction current and applying the pressure pulse sequence to an oil inlet; synchronously capturing a displacement response value sequence; extracting the rising section slope and overshoot of the displacement response waveform, calculating the change rate sequence of the two and integrating the change rate sequence into a hysteresis distortion characteristic vector; taking the action sequence of the pulses in the pressure pulse sequence as the horizontal coordinate and taking the components in the hysteresis distortion characteristic vector as the vertical coordinate to construct a distortion evolution curve; and obtaining a health pre-diagnosis result through the cooperative evaluation of the positive and negative value alternate frequency of the second-order difference of the curve and the slope of the line connecting the two end points. The application can improve the efficiency of health pre-diagnosis of the hydraulic actuator.

The application discloses a real-time EQ curve forming method based on a mobile terminal, which comprises the following steps: dividing frequency bands into a first frequency band, a second frequency band and a third frequency band in sequence according to the frequency from small to large, and determining the first frequency band, the second frequency band and the third frequency band as the initial frequency point quantity of the EQ curve horizontal coordinate respectively; determining the width of the EQ curve according to the resolution of the mobile terminal, and screening the frequency points from the third frequency point quantity again according to the width to obtain the final third frequency point quantity; taking the frequency point as the horizontal coordinate, the audio amplitude corresponding to the frequency point as the vertical coordinate, and adopting a polygon method to draw the EQ curve according to the total frequency point quantity of the first frequency point quantity, the second frequency point quantity and the final third frequency point quantity, so as to obtain the EQ curve. The application can quickly generate the EQ curve, and can more quickly and smoothly display the EQ curve due to smaller calculation quantity, and the formed EQ curve is more coherent and smooth.

This invention discloses a method and system for reconstructing bridge vehicle load distribution based on machine vision, belonging to the field of machine vision measurement technology. The method includes: acquiring video image data of the cross-section where the dynamic weighing system is located, as well as vehicle weight information and traffic time; using a dual-target detection model to obtain the vehicle front and overall detection frame, recording the video timestamp, and using the horizontal coordinate of the bottom of the vehicle front detection frame and the vertical coordinate of the overall detection frame as the precise position in the image; performing synchronous matching based on the timestamp and traffic time to assign weight to the vehicles; using bridge surface targets to transform the image position to the bridge surface coordinate system; and performing statistical analysis based on the precise position and weight information on the bridge surface to obtain the statistical distribution of vehicle load. This invention eliminates the need to install an embedded weighing system on the target bridge; by utilizing data from a camera monitoring system and weighing systems on the same traffic route of the target bridge, it can statistically represent the vehicle load distribution of each cross-section of the bridge.

This invention discloses a UAV inspection and positioning method and system based on an asymmetric tower. It uses 3D point cloud data to correct the verticality of the tower space, and utilizes geometric priors such as the top plane of the tower to eliminate attitude deviations caused by vibration or tilting of the ground platform, thereby establishing a unified vertical coordinate system. This provides a stable spatial reference for subsequent positioning, avoiding systematic errors caused by ground reference drift. Furthermore, iterative matching of the acquired real-time 3D point cloud data with the initial reference map of the tower space continuously suppresses drift caused by micro-motions or environmental interference on the ground platform during long-term operation, solving the problem of positioning error accumulation in long-endurance UAV inspections and ensuring positioning stability across the entire altitude range. Finally, separating the UAV point cloud from the tower environment point cloud yields reliable real-time UAV position information, resulting in more stable UAV positioning and higher inspection reliability.

The embodiment of the present application relates to the technical field of intelligent identification, and discloses an intelligent identification method and an identification system, which comprises the following steps: setting the horizontal coordinate of the lowest longitudinal pixel point in the to-be-identified region frame and the pixel point value corresponding thereto as the target point horizontal coordinate of the to-be-identified region frame, and setting the central point vertical coordinate of the to-be-identified region frame as the target point vertical coordinate of the to-be-identified region frame, so as to determine the rail preset passing point of the to-be-identified region frame; carrying out fitting processing on all the rail preset passing points located in the left area of the rail image, so as to obtain a left rail shape curve, and carrying out fitting processing on all the rail preset passing points located in the right area of the rail image, so as to obtain a right rail shape curve; after determining the target dynamic identification region according to the left rail shape curve and the right rail shape curve, carrying out obstacle identification processing on the target dynamic identification region by using an obstacle identification model. The embodiment of the present application can improve the identification accuracy.

This application relates to a grasping posture detection method, system, device, robot, computer-readable storage medium, and computer program product. The method includes: extracting first position data and second position data from the position data of a target box; the first position data is located within a first distance threshold range of a first surface, and the distance between the first position data and the first surface is less than the distance between the second position data and the first surface; the first surface is perpendicular to the vertical coordinate axis in the physical coordinate system; performing shape fitting based on the first and second position data to determine a first contour pattern; performing principal component analysis on the first position data to determine a target plane, and translating the first contour pattern to the target plane along the normal direction of the target plane; and detecting the grasping posture of the target box based on the translated first contour pattern. This method can reduce contour fitting deviation, improve the accuracy of grasping posture estimation, and increase the success rate of grasping the target box.

This invention discloses a three-dimensional visualization system for soil heavy metal pollution distribution based on vertical enhancement interpolation and isosurface rendering. The spatial interpolation module uses a vertical enhancement factor to scale the vertical coordinates of the original sampling points to obtain transformed three-dimensional coordinates. Based on the transformed three-dimensional coordinates and pollutant concentration data, spatial statistical features are calculated. Based on the stability of these spatial statistical features, either Kriging interpolation or radial basis function interpolation is selected to interpolate the spatial statistical features to obtain a three-dimensional concentration field. The isosurface generation module adaptively determines the density of isosurface levels based on the gradient magnitude of pollutant concentration in the three-dimensional concentration field, and then uses a moving cube algorithm to obtain isosurfaces at different concentration levels. The rendering module assigns transparency values ​​and performs illumination rendering on the isosurfaces at different concentration levels to obtain a three-dimensional image of soil heavy metal pollution distribution. This system provides higher accuracy in three-dimensional characterization of soil heavy metals.

The present invention provides an image processing method and system in analyte testing, a medium, and a device. The method includes: image obtaining: obtaining an infrared grayscale image in a first area; first target selection: converting the infrared 5 grayscale image into a two-dimensional matrix, recording a pre-selected first target area, and selecting maximum values and minimum values of a horizontal coordinate and a vertical coordinate: Xmax, Xmin, Ymax, ymin; searching area determining: using Xmax+m, Xmin-m, ymax+m, ymin-m as searching area boundaries, where m is a preset expansion distance, to obtain searching areas; and second target selection: sequencing the searching areas based on 10 grayscales in descending order, and selecting a top preset quantity of coordinates with greatest grayscales as a second target area. 32 20 25 20 46 45 20 J un 2 02 5 A B S T R A C T 2 0 2 5 2 0 4 6 4 5 2 0 J u n 2 0 2 5 A B S T R A C T 2 0 2 5 2 0 4 6 4 5 2 0 J u n 2 0 2 5 FIG. 13 FIG. 14 Image obtaining: obtain an infrared grayscale image in a first area; First target selecting: convert the infrared grayscale image into a two-dimensional matrix, record a pre-selected first target area, and select maximum values and minimum values of a horizontal coordinate and a vertical coordinate: xmax, xmin, ymax, ymin; Searching area determining: use xmax +m, xmin–m, ymax+m, ymin–m as searching area boundaries, where m is a preset expansion distance, to obtain searching areas; and Second target selecting: sequence the searching areas based on grayscales in descending order, and select a top preset quantity of coordinates with greatest grayscales as a second target area. Maximum value Minimum value 7 / 7 Maximum value Minimum value FIG. 13 Image obtaining: obtain an infrared grayscale image in a first area; First target selecting: convert the infrared grayscale image into a two-dimensional matrix, record a pre-selected first target area, and select maximum values and minimum values of a horizontal coordinate and a vertical coordinate: Xmax, Xmin, Ymax, ymin; Searching area determining: use Xmax +m, Xmin-m, ymax+m, ymin-m as searching area boundaries, where m is a preset expansion distance, to obtain searching areas; and Second target selecting: sequence the searching areas based on grayscales in descending order, and select a top preset quantity of coordinates with greatest grayscales as a second target area. FIG. 14 7 / 7 20 25 20 46 45 20 J un 2 02 5 2 0 2 5 X 2 0 2 5 2 0 4 6 4 5 2 0 J u n 7 / 7 2 0 2 5 X 2 0 2 5 2 0 4 6 4 5 2 0 J u n 7 / 7

The application provides a method for realizing debris flow early warning by using single-line laser radar to extract profile, and the method comprises the following steps: collecting point cloud data of a U-shaped section profile of a debris flow channel by a single-line laser radar sensor in real time; obtaining a horizontal coordinate and a vertical coordinate corresponding to each point cloud in a rectangular coordinate system; obtaining a normalized horizontal coordinate and a normalized vertical coordinate of each point cloud in the rectangular coordinate system; obtaining an elevation difference value of each normalized point cloud; obtaining a turning point judgment threshold; finding two point clouds whose normalized elevation difference values are greater than or equal to the turning point judgment threshold, and taking the two found point clouds as two turning points of the U-shaped section profile of the debris flow channel; judging whether the elevation difference value of the debris flow channel at the current moment is greater than a debris flow early warning critical threshold, if yes, judging that the current moment is a debris flow event, and triggering a debris flow event alarm; otherwise, judging that the current moment is a non-debris flow event, and not triggering the debris flow event alarm.