73 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 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 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.

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.

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 invention belongs to the technical field of point cloud models, and discloses a method and a system for identifying internal and external boundary points of a point cloud contour. The method comprises the following steps: performing plane segmentation on an original point cloud to obtain a plurality of independent plane point clouds; for each plane point cloud, obtaining a projection plane of the plane point cloud through plane fitting, extracting boundary points of the plane point cloud, and projecting the boundary points to the corresponding projection planes; converting the projected three-dimensional boundary point set to an xoy plane to obtain a two-dimensional boundary point set; constructing an envelope rectangle for the two-dimensional boundary point set by using a minimum bounding rectangle algorithm; and performing interval scanning on the two-dimensional boundary point set, calculating the distance from each two-dimensional boundary point to the corresponding rectangular edge in the scanning range, judging the two-dimensional boundary point with the minimum distance as an external boundary point, and judging the other two-dimensional boundary points as inscribed boundary points or redundant points. The method can effectively distinguish inner and outer boundary points.

The present invention discloses a collision detection method for 3D CAD models based on BVH and sum-of-squares programming, comprising: first, constructing a BVH for two geometric objects; second, calculating the minimum and maximum distances between the AABB bounding boxes of the leaf nodes of the two BVHs, recording the minimum and maximum distances, and saving all node pairs whose minimum distance is less than or equal to the minimum and maximum distances; then, setting the objective function, variables, and constraints of the sum-of-squares programming for solving the minimum distance based on the information in each node pair, converting the sum-of-squares programming into a semidefinite programming using an optimization solver for solving the problem, and obtaining the minimum distance of a node pair, thereby obtaining the minimum distance between the two geometric objects; finally, comparing the minimum distance with a threshold in an actual collision detection scenario to determine whether the two geometric objects collide. The present invention designs a unified algorithm flow for solving the minimum distance between various types of geometric objects.

The invention discloses a path planning method and system based on an improved self-adaptive ant colony algorithm, and the method comprises the following steps: initializing, loading traveling salesman problem instance data of a plurality of places based on basic parameters and dynamic parameters of the improved self-adaptive ant colony algorithm, constructing a distance matrix between the places based on Euclidean distance, and performing path planning on the distance matrix. Initializing a symmetric pheromone matrix; iterative optimization is carried out, each ant starts from a randomly selected initial site, a complete path is constructed step by step through an improved state transition probability rule, the path length of each ant is calculated, and the current iterative optimal path and the length thereof are recorded; iteration is terminated, and when the number of iterations reaches the preset value, the algorithm stops running; according to the method, statistics is carried out on results of multiple rounds of operation, the average optimal distance of the multiple rounds of operation and the minimum distance in the multiple rounds of operation are obtained, namely, the optimal planning path is obtained, a self-adaptive volatilization mechanism is introduced, the pheromone volatilization rate is dynamically adjusted according to the number of iterations, and the local optimum problem is solved.

The invention relates to the technical field of three-dimensional model processing, and discloses a sketch three-dimensional model retrieval method which comprises the following steps: S1, cross-modal data adaptation processing, S2, sketch time sequence semantic feature extraction, S3, three-dimensional model hierarchical semantic feature extraction, S4, cross-modal feature dynamic alignment and S5, dynamic matching retrieval. According to the method, a progressive linkage chain of'S3 hierarchical feature decoding algorithm, S4 dynamic time warping algorithm and S5 cross-modal attention linkage algorithm 'is constructed, the global and local features of the three-dimensional model extracted in S3 provide a carrier for the S4 structure sequence, and the time sequence-structure minimum distance calculated in S4 is directly used as the input of S5 time sequence dimension weight. And S5, multi-dimensional weight fusion is completed in combination with semantic tags in S3 and geometric features in S2, a logic closed loop of cross-modal features from extraction, alignment to matching is effectively broken through, the problems of feature isolation and matching fragmentation in a traditional method are solved, and the cross-modal matching precision of the sketch and the three-dimensional model is remarkably improved.

A method and a device for generating a surface geometry for a component (21) which maintains a predetermined minimum distance (a) to an existing three-dimensional surface structure (22) is characterized by the following steps: - Definition of the starting plane (28) of the surface geometry to be generated (20); - Definition of the area (30) to be generated of the surface geometry (20); - Determination of the surface accuracy of the surface geometry to be produced (20); - Determination of the minimum distance (a) to the three-dimensional surface structure (22); - automated calculation of the surface geometry to be generated (20) as a connected surface. A continuous surface geometry for a component is automatically generated using a computing unit, which maintains a certain minimum distance to the surrounding geometries of the given surface structure.

Techniques are disclosed for analyzing and displaying the extent to which images and structures inferred by a physical seed multi-scale network correspond to true resolution improvements and their extent to which they correspond to illusions of realistic appearance structures. A selected reconstruction generated using a trained neural network is compared to a baseline representation (e.g., a baseline reconstruction) by calculating an image similarity measure between progressive spatially filtered versions of the selected reconstruction. As the amount of spatial filtering increases, the image similarity metric will reach an extreme value (e.g., the lowest distance between the images) at a moment. At the extremum, a parameter of a spatial filter can be used to identify a resolution score (e.g., a length scale) associated with the extremum. The resolution score indicates a resolution recovery amount relative to a baseline associated with the trained neural network.

This invention discloses a spectral coding optimization method and imaging system based on the minimum distance in the coding space. The core of this invention lies in proposing a design criterion that maximizes the minimum Euclidean distance between the corresponding vectors of any two different spectral samples in the coding response space. This directly improves the separability of different spectra at the detector end from a geometric perspective, thereby enhancing the system's robustness to noise and disturbances. To efficiently solve this non-convex optimization problem, this invention proposes a global-local joint optimization strategy. The spectral encoder structural parameters optimized based on this method can be applied to computational spectral imaging systems. This system, through encoder modulation, signal detection, and sparse reconstruction, ultimately outputs a spatial-spectral three-dimensional data cube of the target object. This invention effectively overcomes the shortcomings of traditional design criteria that do not directly consider geometric separability and the tendency of single optimization methods to get trapped in local optima, significantly improving the system's reconstruction accuracy and stability.

The invention relates to a small sample intention recognition method based on multi-view logistic regression, belongs to the technical field of artificial intelligence and natural language processing, and solves the problems that an existing small sample intention classification method is insufficient in example selection, semantic similar intentions are difficult to distinguish and the model generalization ability is limited. According to the technical scheme, the method comprises the steps that semantic embedding processing is conducted on training data and query statements, cosine similarity is calculated, the size K of an initial support set is dynamically determined based on semantic uncertainty, first K examples are selected to form the initial support set, a multi-view logistic regression model is applied to conduct embedding space discriminative conversion, similarity is recalculated, and the initial support set is selected. And carrying out diversity constraint optimization on the final support set by adopting a maximum and minimum distance selection algorithm, and constructing large language model input for intention recognition. According to the method, the most discriminative and representative examples can be automatically screened, and the classification accuracy, robustness and generalization ability are improved.

The application relates to a high-dimensional QAM signal modulation system and a modulation method based on a clustering algorithm sequence extraction, and the method comprises the following steps: firstly, generating an original high-dimensional constellation point set and an index bit stream; then, calculating the clustering number according to a target source entropy and a sequence length, and clustering the original constellation points by adopting a K-means++ algorithm, selecting the sequence closest to the center in each cluster as a representative sequence to form an optimized constellation point set; then, mapping the index bit stream to the index of the representative sequence, extracting the corresponding QAM symbol sequence according to the index; finally, modulating the sequence into a time domain signal and transmitting, and at the receiving end, calculating the Euclidean distance between the received signal and all the representative sequences, identifying the sequence according to the minimum distance criterion and restoring the index bit stream. The application can significantly improve the noise resistance and the spectrum efficiency, controls the system complexity, and has great practical value in adapting to high-speed and high-reliability communication scenes.

The invention discloses an automobile multi-source data time alignment and fusion method and system. The method comprises the steps of obtaining first data and second data with non-uniform time references, and performing standardization processing on time; in the second data, window data are extracted from each candidate position through sliding window search, time coverage is judged, the window data are resampled to a first data time point, and a similarity distance is calculated by adopting a dynamic time warping algorithm; selecting the position with the minimum distance to establish a time mapping relation; and performing data fusion to generate fused data covering the complete or partial time range of the second data. The system comprises a data acquisition and preprocessing module, a sliding window matching module based on dynamic time warping, a time alignment relationship establishment module, a data fusion module and a data output module. According to the method, the relation between the time type and the sampling frequency of the data is not limited, universality is achieved through self-adaptive resampling, and the problems that in the prior art, the requirement for data characteristics is harsh, and the application range is narrow are solved.

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 duplicate 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.