98 results about "Minimum distance" patented technology

The invention discloses a ship intelligent fault diagnosis method and system based on open label space identification. The method comprises the following steps: obtaining a multi-source sensor time sequence signal of a ship system and constructing a training sample set; carrying out feature extraction on the training sample set by utilizing a deep neural network model, and strengthening the clustering characteristics of the features by adopting a center loss function in the training process; training a classifier on the basis of feature extraction and introducing an open set loss function to form a comprehensive objective function; extracting features from a to-be-diagnosed sample, embedding the features, calculating the distance between the to-be-diagnosed sample and a known fault category feature center, and judging an unknown fault through comparison between the minimum distance and a preset threshold value; and outputting a known fault category or triggering an unknown fault alarm according to a judgment result, and dynamically expanding and updating a model knowledge base based on accumulated unknown fault samples. The method can break through the limitation of the traditional closed set hypothesis, effectively identifies the unknown fault type, and achieves the self-adaptive learning and continuous optimization of a ship fault diagnosis system.

The invention discloses a dual-machine target positioning method based on semantic prior and spatial intersection constraint. The method comprises the following steps: 1, acquiring images of a camera 1 and a camera 2, and determining the spatial orientation of a camera coordinate system relative to a reference world coordinate system; step 2, obtaining a target normalized coordinate under a coordinate system of the camera 1; step 3, obtaining a target normalized coordinate under a coordinate system of the camera 2; 4, converting the normalized coordinates of the target into geometric rays in a three-dimensional space; 5, constructing an optimization function with the minimum distance sum of squares; step 6, performing semantic-level foreground and background division on the image content through a YOLOv5 network, and constructing a three-dimensional space feature point library of a semantic background; and 7, performing single-view semantic neighborhood retrieval and depth compensation by using the three-dimensional space feature point library of the semantic background constructed in the step 6, and realizing target three-dimensional positioning in a high-altitude long-distance complex scene. According to the invention, the detection robustness and the positioning precision of the high-altitude long-distance target in the environment are improved.

The embodiment of the invention discloses a three-dimensional tennis track real-time reconstruction method and system based on multiple cameras, internal and external parameters and calibration results of the multiple cameras are utilized, respective two-dimensional pixel coordinates are converted into three-dimensional rays, and nodes are positioned in combination with a minimum distance algorithm. According to the embodiment of the invention, the real-time reconstruction of the three-dimensional track of the tennis ball is realized by virtue of the synchronous multi-camera two-dimensional image through the steps of camera accurate calibration, two-dimensional to three-dimensional ray conversion, intersection point calculation and screening, data output and the like. Compared with the prior art, the reconstruction precision is improved through accurate calibration and ray intersection screening; by means of multi-camera data synchronization and simple calculation process, data delay is reduced, and real-time performance is prominent; by means of multi-camera data redundancy and a placeholder mechanism, the robustness in a complex environment is enhanced; the output three-dimensional point data can directly support the functions of ball speed calculation and the like, and the expansibility is good.

The invention provides an unknown malicious traffic detection method and device. The method comprises the following steps: converting a network stream to be detected into a grey-scale map; an encoder in the trained generative model is utilized to extract encoding features of the grey-scale map, the minimum distance between the encoding features and Gaussian prototypes corresponding to all known traffic categories is calculated, if the minimum distance is smaller than a preset threshold value, the network flow to be detected is considered to belong to the traffic category corresponding to the minimum distance, and otherwise, the network flow to be detected is considered to be an unknown traffic category; wherein the training process of the generative model comprises the following steps of: constructing a traffic data set marked with category labels; converting each network flow sample in the flow data set into a grey-scale map, sequentially inputting all the grey-scale maps into a conditional variation auto-encoder, calculating ELBO loss according to a generation limit, calculating identification loss according to an identification limit, and calculating total loss to update network parameters; after training is completed, the conditional variation auto-encoder is a generative model, and Gaussian prototypes corresponding to all known traffic categories are obtained.

The invention discloses a two-stage indoor positioning method and system based on MWKNN-PF, and relates to the technical field of indoor positioning, and the method comprises the steps: obtaining a positioning region, constructing an equidistant grid, and obtaining the receiving signal data of fingerprint points, and each grid intersection point is a fingerprint point; obtaining a vector and a covariance of each fingerprint point according to the received signal data, and constructing a fingerprint database; obtaining a plurality of clusters according to a clustering algorithm; receiving signal data is extracted, and a cluster with the minimum distance is obtained; obtaining the number of adjacent points according to the dynamic selection, and obtaining an initial positioning coordinate according to the weight of the plurality of adjacent points; constructing a prediction model according to the state transition model; the initial positioning result based on the MWKNN algorithm serves as an actual measurement value, particle filtering is conducted on the target state, the accurate position of the target at the # imgabs0 # moment is obtained, compared with the WKNN algorithm, the calculation load of fingerprint matching work in the online stage is greatly reduced, and the overall real-time performance is improved by reducing the calculation load.

The embodiment of the invention discloses a moving body track planning method and device, electronic equipment and a storage medium, and relates to the technical field of track planning, and the method comprises the steps: carrying out the geometric boundary expansion and minimum distance detection of a moving body, and obtaining the environment complexity of a starting point and an end point of the moving body, the method comprises the steps of obtaining an initial trajectory and constructing kinematic constraints based on a mixed A * algorithm of a bidirectional search strategy, constructing a safety corridor based on the initial trajectory to obtain obstacle avoidance constraints, calculating environment complexity of each trajectory point according to the safety corridor, classifying the trajectory points to obtain sampling time constraints, and obtaining final constraints according to the constraints. Using the initial trajectory as an initial solution to obtain a planned trajectory, performing transverse and longitudinal decoupling on the planned trajectory to respectively obtain transverse and longitudinal state equations, and performing tracking control on the moving body by adopting a model predictive control (MPC) algorithm. According to the method, the problems of low calculation efficiency, infeasible trajectory planning result and poor optimization process convergence in the prior art are solved.

The invention relates to the technical field of computer aided design, in particular to a neighborhood gradient-oriented large-curvature curved surface projection point calculation method, which comprises the following steps of: S1, calculating a space bounding box of a curved surface to be projected, and performing triangulation to generate a triangular mesh; s2, traversing curved surface control vertexes of the triangular mesh, recording an adjacent vertex set, and judging whether the vertex set is a boundary point or not according to the UV parameter coordinates; s3, storing the vertex information and constructing a BVH tree, traversing the BVH tree for a to-be-projected point, querying and obtaining the nearest vertex with the minimum distance from the to-be-projected point, judging whether the nearest vertex is a boundary point or not, and processing according to a judgment result to obtain an iteration initial value; and S4, constructing a target function by taking the iteration initial value as an initial value, and calculating by using a Newton iteration method to obtain an accurate projection point of the to-be-projected point on the curved surface. The curved surface projection point approximation result calculation method is high in calculation efficiency and robustness, and the influence of curvature, grid division and other factors on Newton iteration input is reduced.

The invention discloses a reservoir damming branch blocking information extraction method and device based on a digital elevation model, and the method comprises the steps: obtaining a reservoir digital elevation model and key parameters, and extracting a corresponding water level isoline data set, a range boundary and slope data; after contour line data sets are classified, different types of pattern spot data sets are formed through surface construction and space relation operation; performing spatial inclusion relation query and judgment processing on the pattern spot data set to form a damming water area pattern spot object set; the object set is traversed, the nearest point and the minimum distance between the object set and the main flood prevention limited water level pattern spots or the object set are calculated, a damming and blocking branch object is formed, and the dam crest plane area, the average elevation, the loss reservoir capacity of the damming and blocking branch and the influence reservoir capacity are calculated. According to the method, the technical problems of limited precision, incomplete information extraction and the like due to the fact that the current damming and blocking branch information depends on manual identification are solved, and a basis is provided for reservoir flood control capacity analysis and damming and blocking branch rectification decision making.

The invention relates to the technical field of target scheduling and warehouse logistics, in particular to a multi-vehicle scheduling method based on a genetic algorithm. Comprising the steps of generating an initial solution by adopting an improved repair mode; taking the total time as a target, performing roulette selection on parents according to the fitness, and performing crossover and mutation operation to generate offspring; repeating improvement and restoration in the initial solution for the filial generation; combining the parent generation and the child generation, and reserving individuals with high fitness to enter the next generation; with the conflict probability as a target, multi-vehicle trajectory planning is optimized through timestamp estimation and an artificial potential field; taking the conflict cost and the total distance as optimization targets, and performing target optimization through a non-dominated sorting genetic algorithm to obtain a non-dominated solution; time and conflict cost are normalized, the Euclidean distance between each solution and an ideal point is calculated, and the solution with the minimum distance is selected as the optimal solution. The method has the advantages that multi-objective optimization is realized through non-dominated sorting and crowding degree distance calculation; conflict risks are considered while global planning is performed, and a reasonable route is planned.

The invention belongs to the technical field of machine learning and mode recognition, and particularly relates to an intuitionistic fuzzy double support vector machine classification method based on relative density and non-membership, which comprises the following steps: constructing and training an RD-IFTSVM model, and performing data classification through the trained RD-IFTSVM model. According to the method, a relative density membership function is provided, the proportion of local neighborhood heterogeneous samples to global similar density consistent samples is combined, misjudgment caused by the fact that a traditional method only depends on local neighborhoods is avoided, noise is restrained, and effective samples are reserved; optimization problems are respectively constructed for positive and negative classes, independent regularization parameters and slack variables are introduced, key protection of core samples is realized through membership weighting, and robustness of noise samples is improved; meanwhile, a double-hyperplane discrimination criterion based on a geometric distance is provided, and the sample attribution is determined by the minimum distance to the positive and negative kernel hyperplanes.

The present invention provides a crustal spectral unit optimization modeling method suitable for simulating strong earthquake wave fields in complex terrain conditions, which relates to the field of earthquake engineering. The method comprises determining the terrain parameters of the study area; determining the grid refinement factor based on the wave velocity structure parameters of the study area, and obtaining the minimum distance of the wave velocity isosurface from the bottom; determining the location of the crustal spectral unit refinement transition layer; determining the total number of three-dimensional units before grid refinement based on the location of the crustal spectral unit refinement transition layer; using hexahedral units to mesh the entire area; refining the shallow crust model based on the number of crustal spectral unit layers above the transition layer; calculating the grid quality, counting the number of crustal spectral units to obtain the expected value of the crustal spectral units, and comparing it with the estimated value. The present invention can solve the quality problem of spectral units when modeling crustal structure in areas with complex terrain conditions such as high mountains and canyons, while minimizing the computational degrees of freedom, and achieving stable and low-cost simulation of earthquake motion based on the spectral element method.

The present invention relates to an efficient adaptive method based on the Kriging model. This method is mainly implemented through three steps: First, a certain number of samples are generated by the Latin hypercube method to construct an initial Kriging model; Second, a certain number of candidate samples are screened from the candidate samples through the current Kriging model, and two samples are determined; Third, the candidate samples and the experimental design samples are updated and the Kriging model is reconstructed, and it is judged whether the requirements are met. If not, jump to the second step. If met, the current Kriging model is used to replace the original model for reliability analysis. The present invention continuously increases the number of sample points near the limit state through adaptive iteration, and determines the added samples by maximizing the minimum distance, so that the iteratively updated samples are approximately evenly distributed near the limit state, the sample points are more fully utilized, and the result of the reliability analysis is more accurate.

The invention discloses a wheel disc over-rotation fracture sequence sampling method based on space reduction and electronic equipment, and belongs to the technical field of experimental design and digital twinning. The method comprises the following steps: generating an initial sample set and constructing an initial agent model; dividing concerned and unconcerned areas based on the predicted strain amplitude; constructing a comprehensive sampling criterion for fusing the global precision and the strain amplitude of the model; calculating a rejection domain radius which is adaptively reduced along with iteration; solving an optimization problem with maximization as a target and minimum distance > = as a constraint, and determining newly added sample points; and updating the model and carrying out iteration until a precision convergence condition is met. According to the method, through physical mechanism driving and dynamic space regulation and control, automatic focusing sampling is carried out on a high-strain key area, an agent model with higher local precision can be constructed at lower simulation cost, and the efficiency and accuracy of wheel disc fracture rotation speed prediction are remarkably improved.

The embodiment of the invention provides a method for determining a distance parameter, a device for determining the distance parameter, electronic equipment and a non-volatile computer readable storage medium. The method comprises the steps that a first set and a second set are obtained, the first set comprises at least one first geometric object, the second set comprises at least one second geometric object, and the first geometric object and the second geometric object are compact and convex; iteratively updating the first set or the second set; and determining a distance parameter of the first set relative to the second set based on the updated first set and the updated second set. According to the embodiment of the invention, the minimum distance and the nearest point pair between two sets comprising a plurality of geometric objects can be efficiently calculated, so that collision detection and distance parameter determination can be efficiently carried out, and the requirements of collision detection and distance testing in a complex scene are met.

The invention discloses a space target collision early warning method based on GPU parallel computing and a J2 perturbation item, aims to solve the problems of high computing complexity and poor real-time performance of existing CPU processing space target collision risk assessment, and provides a multi-stage screening method based on GPU parallel computing and the J2 perturbation item. The method comprises the following steps: reading a TLE and calculating near / distant points and a reference check point at a GPU (Graphics Processing Unit); combining according to C (N, 2) and screening according to epoch, height and geocentric distance; taking a check point state as an initial value in a check interval, and adopting single-precision J2-RK iterative screening to obtain events NJ2pre and tJ2pre; the events are screened by using double-precision J2-RK in front and back check sections, and minimum distances distJ2 and tJ2 are output; and finally, SGP4 / SDP4 is used for parallel actuarial calculation to obtain a minimum distance distDC, a relative speed, a collision probability and the like. The method gives consideration to real-time performance and precision, significantly reduces the O (n) calculation cost, and is suitable for large-scale in-orbit target early warning.

The invention discloses a modeling method for solving the distance from a sample point to a simplex topological space in a high-dimensional space. The modeling method is used for efficiently calculating the minimum distance from the sample point to a high-dimensional simplex. By means of the modeling method, the calculation complexity can be effectively reduced, the calculation efficiency and stability are improved, and therefore a more advanced, efficient and reliable solution is provided for solving the distance from the midpoint to the simplex in the high-dimensional space. The method aims at overcoming the defects in the prior art, can quickly and accurately calculate the distance from a sample point to simplex in a high-dimensional space, and has important significance for promoting research and technical development in related fields.

A sealed compression measurement method, a storage medium and an equipment relate to the technical field of automation detection, and solve the problems of low efficiency and poor measurement accuracy of the existing manual measurement method. The method comprises the following steps: S1, fitting models of a measured sealing element and a measurement reference element in a free state according to actual assembly positions of the measured sealing element and the measurement reference element, and cutting two-dimensional sections of the measured sealing element and the measurement reference element; S2, marking the measured sealing element and the measurement reference element; S3, capturing an intersection of the measured sealing element and the measurement reference element; S4, establishing a measurement reference surface of the measurement reference element; S5, capturing a farthest point i of the measured sealing element on a side compressed to the reference surface; and S6, measuring a minimum distance of the point i to the measurement reference surface, that is, a compression amount.

The invention discloses a rendering method of a fragmentation model in a virtual scene and a related device. The method comprises the following steps: for each fragment model included in a fragmentation model in a virtual scene, determining a target frame center point position of the fragment model through a plurality of target frame vertex positions of the fragment model, and determining the maximum distance from the vertex to the center point of the fragment model, namely the maximum collision size; obtaining a minimum distance, namely a distance field value, from the center point of a scene voxel to which the center point position of the target frame in the virtual scene belongs to the scene surface; under the condition of determining that the fragment model collides with the scene surface based on the maximum collision size and the distance field value, adjusting the center point position of a target frame through a direction vector of the distance field value, the moving speed of the target frame of the fragment model and the interval time of adjacent frames to obtain an adjusted position; and rendering the fragment model based on the adjusted position to obtain a rendering result of the fragment model. According to the method, the penetration phenomenon between the fragment model and the scene surface in the rendering result can be avoided, and the rendering effect is improved.

The invention provides an efficient cooperative construction method, device and equipment for simultaneous operation of multiple geophysical prospecting teams, relates to the technical field of seismic prospecting, and aims to solve the problem that the construction efficiency is low under the condition that the distance between shot points constructed by the multiple geophysical prospecting teams in the same time window in adjacent work areas is smaller than the minimum distance of synchronous excitation in the prior art. The method comprises the following steps: integrating adjacent work areas for analysis, calculating the lower limit value of the root-mean-square energy of the upper cannon interference of a conventional production cannon, and drawing a first time distance curve meeting the condition that the upper cannon interference is not greater than that of the production cannon by utilizing a single-cannon data single-cannon energy attenuation time-space domain distribution plane graph of a long-record long-arrangement-point test; according to the seismic data of the work area, obtaining the lowest refracted wave speed, and calculating a second time distance relation curve when the last shot refracted wave does not enter the single shot data; and an area clamped by the first gun loading interference time distance curve and the second gun loading interference time distance curve is used as a distance range of staggered excitation of two guns in adjacent work areas, a blasting time interval is dynamically calculated, and staggered excitation is carried out.

The application discloses a glue coating size measurement method based on semantic segmentation, and technical solution points thereof comprise the following steps: labeling a glue coating sample image and constructing a data set; training a semantic segmentation model based on attention fusion and pyramid pooling; segmenting the glue coating image by using the model to obtain a mask result; traversing pixel points in the mask, and classifying point sets with a gray scale of 1 as glue strip areas and point sets with a gray scale of 2 as workpiece areas; using a region skeleton algorithm to extract the center axis contour of the glue strip and workpiece areas; using a rectangular detection frame to fit the contour to generate parallel lines and calculate the distance between the lines; counting the maximum and minimum distances in all detection frames to determine whether the glue coating process meets the requirements; the method can quickly measure the glue coating, does not need a teaching process, has good real-time performance, strong robustness and is suitable for various glue strip and workpiece scenes.

Provided is a technique capable of measuring a gear shape error. 【Solution means】The machine tool includes a control device configured to execute error measurement processing. The error measurement processing determines the approach start point and approach direction of a touch probe held by a tool holding device based on the posture of a workpiece machined into a gear shape held by a workpiece holding device, controls an actuator to move the touch probe in the approach direction from the approach start point, obtains the center position of the tip sphere of the touch probe when the touch probe contacts the surface of the workpiece due to the movement, determines a candidate value for the error between the gear shape and the target shape of the gear product, generates a cross-sectional model representing the cross-sectional shape of the tooth surface based on the candidate value, the target shape, and the posture, obtains the minimum distance between the cross-sectional model and the center position, changes the candidate value, and determines, as the error, a candidate value for which the absolute value of the difference between the minimum distance and the radius of the tip sphere is equal to or less than an allowable value.

The invention provides a marine ship trajectory association method, device and equipment and a medium, and the method comprises the steps: employing OpenCV to extract a marine ship image, carrying out the preprocessing, and employing edge detection and contour processing, thereby obtaining the size features of a marine ship; extracting the contour gravity center position of the marine ship based on a six-parameter affine transformation matrix of GDAL, and extracting longitude and latitude coordinates of a target; obtaining the multi-modal features of the marine ship, carrying out the weighted fusion of the multi-modal features, and taking N targets with the highest probability as a candidate set; based on the dynamic behavior characteristics, obtaining the course and speed of the marine ship and then calculating a predicted target position; and matching the longitude and latitude coordinates of the target in the candidate set with the predicted target position, selecting the predicted position with the minimum distance as an association point through Euclidean distance calculation, generating a continuous track and forming target situation information. According to the technical scheme, the target recognition precision can be improved, and the continuous target situation can be formed.

A method for preventing a collision between sections of a test board (3) movable relative to each other in a test board system (1) is disclosed and described, the method comprising the steps of: providing a simulation model (19) representing the test board (3) and the sections of the test board (3) movable relative to each other, a setpoint value for movement of a first section of the test board (3) is determined, a simulated first section representing the first section of the test board (3) is moved based on the determined setpoint value, a distance between the simulated first section and a simulated second section of the test board (3) representing a second section of the test board (3) is determined, the determined distance is compared to a specified minimum distance, and when the determined distance is equal to or greater than the specified minimum distance, the first section of the test bench (3) is moved based on the determined setpoint value. In addition, corresponding test bench systems, computer programs, and computer-readable storage media are disclosed and described.

This invention provides a method and apparatus for measuring contact wire grooves based on machine vision technology. The method involves placing the measuring device below the contact wire groove to be measured, and the device automatically focusing. The measuring device acquires the original image of the contact wire groove and marks the Region of Interest (ROI) of the original image based on a trained YOLOv5-LiteSE contact wire groove recognition model. The edge of the contact wire groove in the ROI region is obtained in HSB format, and a Hough transform is performed on the obtained edge to obtain the linear equation of the contact wire groove to be measured. The angle values ​​of the two types of linear equations are calculated based on their slopes. The angle values ​​of the two types of linear equations are compared with preset standard angle values ​​for the contact wire groove to complete parallelism detection. The minimum distance between the two types of linear equations is calculated to complete the dimensional detection of the contact wire groove to be measured. This invention solves the problem of low measurement accuracy caused by the inability of existing machine vision measurement to achieve rapid automatic focusing when measuring contact wire grooves in tunnels.

The application provides a bridge main girder structure space overall deformation detection method, a terminal and a storage medium, and relates to the technical field of bridge main girder deformation detection. The method comprises the following steps: acquiring a first main girder bottom surface point cloud and a second main girder bottom surface point cloud of a bridge to be measured; a plurality of first point cloud blocks and a plurality of second point cloud blocks are divided from the first main girder bottom surface point cloud and the second main girder bottom surface point cloud respectively by using a sliding window; a plane fitting is performed on each point cloud block by using a maximum consistent minimum distance algorithm; a center point of each fitted plane is taken as a measurement point; a plurality of first measurement points and a plurality of second measurement points are acquired; the plurality of first measurement points and the plurality of second measurement points are used to construct a first curved surface and a second curved surface respectively; Z-axis data is extracted from the first curved surface and the second curved surface respectively based on the center position of each sliding window, and the Z-axis data is subtracted to obtain a periodic deformation of the bridge to be measured. The application can improve the precision of deformation detection.

The invention provides a full-life-cycle commercial concrete demand prediction method and device and a storage medium, and belongs to the technical field of building information, and the method comprises the steps: obtaining BIM information of a building project, and converting the BIM information into a fixed dimension vector based on a first encoder; the first encoder is obtained by training a BiLSTM encoder based on a positive sample pair and a negative sample pair; determining the Euclidean distance between the fixed dimension vector of the target building project and the fixed dimension vector of the completed building project, and forming a similar project set by a plurality of completed building projects with the minimum distance; determining a context vector of the similar item set; and inputting the feature sequence corresponding to the target building project, the decoder state and the context vector into a decoder to obtain the predicted relative construction time of the component, and further determining the total commercial concrete demand. According to the method, the commercial concrete demand can be predicted in advance, so that the purpose of better arranging production and distribution of commercial concrete raw materials is achieved.

The present invention discloses a method and device for extracting reservoir damming and interception information based on a digital elevation model, comprising: obtaining a reservoir digital elevation model and key parameters, extracting corresponding water level contour line datasets, range boundaries, and slope data; classifying the contour line datasets and performing faceting and spatial relationship operations to form different category patch datasets; querying and processing the patch datasets through spatial inclusion relationships to form a damming water area patch object set; traversing the object set, calculating the nearest point and minimum distance to the main flood control restricted water level patch or object set to form a damming and interception object, and calculating the dam top plane area, average elevation, and the lost storage capacity and affected storage capacity due to the damming and interception. The present invention overcomes the current technical problems of limited manual recognition accuracy and incomplete information extraction for damming and interception information, and provides a basis for reservoir flood control storage capacity analysis and damming and interception rectification decision-making.

To provide a technique capable of measuring a gear shape error.SOLUTION: The machine tool includes a controller configured to execute an error measurement process. In the error measurement processing, an approach start point and an approach direction of a touch trigger probe held by a tool holding device are determined based on a posture of a gear-shaped workpiece held by a workpiece holding device, an actuator is controlled to move the touch trigger probe from the approach start point in the approach direction, and a center position of a tip ball of the touch trigger probe when the touch trigger probe is brought into contact with a surface of the workpiece by the movement is obtained, the method includes determining a candidate value of an error between a gear shape and a target shape of a gear product, generating a cross-sectional model representing a cross-sectional shape of a tooth surface based on the candidate value, the target shape, and a posture, obtaining a minimum distance between the cross-sectional model and a center position, changing the candidate value, and determining, as the error, a candidate value at which an absolute value of a difference between the minimum distance and a radius of a tip ball is equal to or less than an allowable value.SELECTED DRAWING: Figure 6

The application discloses a finite element parameterized modeling method and system for small and medium span bridges, comprising: obtaining bridge design parameters; determining cross-section geometric parameters according to the type of the main beam; determining the in-bridge direction coordinates of the inter-beam connecting unit according to the arrangement rule of the inter-beam connecting unit and removing the repeated coordinates; taking the removed coordinates as control nodes, encrypting the nodes of each main beam according to the span, and generating the in-bridge direction node sequence of the main beam; calculating the cross-bridge direction coordinates of the main beam according to the transverse arrangement parameters of the main beam, and pairing the in-bridge direction coordinates and the cross-bridge direction coordinates to generate the node sequence of the main beam; positioning the constraint nodes in the in-bridge direction node sequence of the main beam by using a minimum distance matching algorithm, and applying boundary conditions at the constraint nodes; generating a data interface file that can be analyzed by finite element analysis software, and generating a finite element reference model after analysis; the application supports batch processing, significantly improves the modeling efficiency and standardization level, and is suitable for the rapid construction of finite element reference models in the health monitoring of a large number of small and medium span bridges.

The present invention relates to a method for drawing the shortest line segment between phases of an overhead line based on CAD software. The method comprises the following steps: calling a polyline coordinate extraction function component in the CAD; selecting two curves representing any two phase conductors in the CAD, namely a first curve and a second curve, and converting the first curve and the second curve into VLA objects respectively; establishing a method for calculating the minimum distance from any point to the curve and the coordinates of the corresponding points in the CAD based on a detection method; calculating the minimum distance between the two curves and the coordinates of the corresponding points based on the polyline coordinate extraction function component and the VLA object and a golden section extreme value method; and calling a CAD instruction according to the calculated minimum distance and the coordinates of the corresponding points to draw the corresponding line segment as the shortest line segment between phases.