2179 results about "Line segment" patented technology

The invention relates to the technical field of defect detection, in particular to a heat-conducting adhesive tape defect detection method and system based on machine vision, and the method comprises the following steps: obtaining a surface image of a heat-conducting adhesive tape, extracting a texture trend and marking an aggregation block, adjusting the trend and offset of a connecting line segment, and analyzing the angle change of a sideband node. And recognizing a skeleton trend reverse section and closing a boundary, and extracting a continuous direction changing region to obtain a defect structure image annotation layer. According to the method, the turning position in the sideband region is extracted by constructing the direction aggregation graph of the texture aggregation block, enhancing the direction identification of the direction of the regional texture, combining the grouping organization and coordinate offset processing of the line segment path, enhancing the continuous association of the image structure, and by means of the repeated distribution characteristic of the angle mutation node; and through a skeleton trend reverse paragraph and boundary closing mode, an identification range of a structure disturbance block is expanded, and coherent tracking and multi-level labeling of a structure abnormal region are completed by combining a spatial relationship between a contour trend difference and a turning point.

The invention relates to the technical field of image analysis, in particular to a dispensing track optimization control system based on visual template conversion, which comprises a visual template analysis module, a contour point position correction module, a track vector generation module, a multi-parameter linkage feedback module and an optimal path planning module. According to the method, a boundary is extracted through clustering pixel superposition brightness and channel weight, a line segment frequency screening track is counted, feature stability and precision are enhanced through datum line construction, a deviation value is calculated through gradient direction segmentation boundary, a matching degree is improved through tangent point interpolation correction contour, and a weight factor is generated through included angle change and tool parameter normalization. A reference point is optimized through superposition increment, a path fusion tool attribute dynamic adaptation parameter is adopted, a multi-dimensional data fusion visual offset and floating weight real-time adjustment track is acquired, an execution point and an adjustment vector are superposed to calculate a distance matrix, an optimal path is screened through minimum distance and energy consumption, efficiency and consumption are both considered, and the system robustness and execution economical efficiency are remarkably improved.

The invention relates to the technical field of numerical control machining, and discloses a high-speed corner trajectory planning method based on jerk constraint in numerical control machining, and the method comprises the steps: carrying out the smooth acceleration / deceleration transition of a tool path corner based on an asymmetric corner smooth model of a two-stage jerk curve; based on a seven-stage S-type acceleration / deceleration algorithm, reachability analysis and time distribution are carried out on the motion of the remaining straight line segment of the tool path, and the accelerations of the two ends of the remaining straight line segment are not zero; a bidirectional look-ahead planning algorithm is adopted, a low-speed corner point is recognized, look-ahead segmentation is conducted, the feeding rate of the corner point and remaining straight line segments are planned from the front direction and the back direction, tracks in the two directions are combined, and a feeding rate curve of the whole tool path is obtained. According to the method, sustainable acceleration / deceleration can be realized at multiple corners, and the method has excellent performance and robustness in the aspects of real-time characteristic, processing efficiency and geometric accuracy.

The invention discloses an abnormal detection method and system for a splayed anti-loosening line of a rail train, and relates to the technical field of rail traffic detection, and the method comprises the steps: image collection and processing: shooting an image of a fixed point region containing the anti-loosening line, and preprocessing the image to obtain a target image; line integrity judgment: extracting a bolt, a bolt marking line and an anti-loosening line through an analysis model to form a target area graph, and judging whether the anti-loosening line is complete or not according to line segment continuity and form; performing line deformation depth analysis, and synchronously obtaining the position of an anti-loosening line intersection point and deformation data through the model in combination with the loosening angle of the bolt marking line when the line deformation is complete; performing line deformation safety judgment, setting a safety threshold group based on historical data, and comparing deformation data to output a signal; after line deformation abnormity judgment and comparison signal receiving, actual data are compared with theoretical data output by the mechanical model, and abnormal or normal signals are output. The anti-loose line full-dimension high-precision detection is achieved, automation and real-time performance are improved, and train operation safety is guaranteed.

The invention relates to the technical field of image analysis, in particular to an automatic marking robot calibration method based on visual guidance, which comprises the following steps of: establishing an image set comprising different resolution levels based on operation site image data acquired by a marking robot, and performing corner detection and straight line segment detection on each level image in parallel. According to the method, through a parallel detection mechanism of a multi-resolution hierarchical image set, angular point and straight line segment features under different scales are synchronously extracted, and a multi-scale feature point set with high robustness is constructed in combination with cross-hierarchical coordinate stability measurement and response intensity quantification. And performing dynamic screening and grouping association on the feature points based on a preset geometric constraint condition, eliminating noise interference and false detection features, and generating a candidate calibration structure set with spatial consistency. Weighted contribution value fitting is adopted, cross-scale stability and detection confidence of feature points are integrated, and geometric accuracy and anti-interference capability of calibration reference point coordinates are improved.

Systems and methods for real-time monitoring and control of well site operations employ well site edge analytics to detect abnormal operations. The systems and methods use machine learning (ML) based analytics on an edge device directly at the well site to detect possible occurrence of abnormal events and automatically respond to such events. The event detection may be based on trends identified in the data acquired from the well site operations in real time. The trends may be identified by correlation and by fitting line segments to the data and analyzing the slopes of the line segments. Upon detecting an unusual event, the edge device can issue alerts regarding the event and take predefined steps to reduce potential damage resulting from such event. This can help decrease downtime and minimize lost productivity and cost as well as reduce health and safety risks for field personnel.

The invention provides an automatic identification method and system for a linear structural plane in a complex rock mass outcrop, and belongs to the field of rock mass engineering, and the method comprises the steps: obtaining a DeepLabV3 + model of a rock mass outcrop image, carrying out the semantic segmentation of an input image, outputting a binary mask image of the trace pixel of the structural plane, and carrying out the topology reconstruction; establishing a mapping relation between the image coordinate system and the three-dimensional point cloud; calculating a space included angle between the direction vector of the trace and the average occurrence of the structural plane groups, classifying the three-dimensional point cloud data according to the structural plane groups according to an angle threshold value, and performing three-dimensional line segment extraction by adopting an improved iterative Hough transform algorithm; and realizing global multi-segment connection and trace length calculation of discrete segments based on a greedy algorithm. The method breaks through the limitation of a topographic region when the rock mass structural plane data is obtained through manual measurement, and improves the precision and efficiency of structural plane extraction in the complex rock mass.

The invention discloses a photovoltaic cleaning control method fusing RTK positioning and visual compensation, and belongs to the technical field of photovoltaic module cleaning. According to the invention, through the RTK track points acquired offline, the least square method is combined with the RANSAC algorithm to carry out segmented straight line fitting, and the original points are projected to the corresponding straight lines to realize collinear correction, so that the measurement error is eliminated, and a continuous and collimated navigation path can be generated; edge lines (photovoltaic module grid lines) with geometrical characteristics in the environment are detected in real time through a visual sensor, the line segment direction is extracted through Hough transform, the line segment direction is compared with the target course calculated through RTK, course deviation is estimated, dynamic correction is conducted through a control strategy, and it can be ensured that the photovoltaic cleaning robot operates along the expected path with high precision; and on the basis of a lightweight YOLOv7 model, the photovoltaic panel is subjected to pollution category division and mapped to optimal water pressure and brush speed parameters, cleaning parameters are dynamically modified, and then cleaning strategy control is completed.

The embodiment of the invention provides a linear welding seam extraction method and device and electronic equipment, and relates to the technical field of computers. The method comprises the steps that a target straight line, a first local point cloud and a second local point cloud are obtained, the target straight line is a straight line intersecting line obtained through calculation based on a first plane equation and a second plane equation, and the first plane equation and the second plane equation are obtained through detection based on a to-be-processed target point cloud; the first local point cloud is a point cloud corresponding to the first plane equation in the target point cloud, and the second local point cloud is a point cloud corresponding to the second plane equation in the target point cloud; and according to the target straight line, the first local point cloud and the second local point cloud, whether a real straight line intersection section exists on the target straight line or not is judged, and when the real straight line intersection section exists, the real straight line intersection section is detected as a straight line welding seam section. In this way, the real linear welding seam is obtained through detection, and the starting point and the ending point of the real linear welding seam are obtained.

The invention discloses a three-dimensional scene reconstruction method and device, and belongs to the field of computer vision and image processing. The method comprises: determining spatial geometric information of a shooting scene according to M two-dimensional images, the M two-dimensional images being images of the shooting scene at different shooting angles, the spatial geometric information at least comprising: at least one target spatial point and at least one spatial line segment, M being an integer greater than 1; and according to the spatial geometric information, a three-dimensional Gaussian ellipsoid set is generated, and the three-dimensional Gaussian ellipsoid set comprises at least one three-dimensional Gaussian ellipsoid used for representing three-dimensional scene information of the shooting scene.

The invention discloses a geological map-oriented breakpoint repairing and closed curve reconstruction method and system and a medium. The method comprises the following steps of: preprocessing an original geological map to obtain a grayscale image; carrying out binarization and morphological closed operation processing to obtain a grayscale image of the edge of the smooth contour curve; performing pixel skeletonization to obtain a pixel-level skeleton diagram; performing secondary edge extraction, connected domain marking and endpoint statistics on the pixel-level skeleton diagram, and screening out a non-closed curve and an endpoint set; carrying out nearest neighbor retrieval by adopting KD-Tree to obtain a candidate pairing set of each end point; performing priority pairing in combination with the spatial distance and the direction smoothness; and generating a transition line segment according to a pairing result to supplement the fracture part of the non-closed curve. According to the method, non-closed breakpoints generated by scanning or drawing errors in the geological map can be automatically restored, and a closed curve with topological integrity and a smooth boundary is generated.

The invention belongs to the technical field of electric power engineering digitization and intelligent drawing auditing, and particularly relates to a dynamic rule engine and multi-target auditing task decomposition method oriented to electric power drawings. Obtaining a power rule file, analyzing and verifying to generate qualified rules, and screening the qualified rules to obtain an effective rule pool; the method comprises the following steps: reserving candidate areas by preprocessing an electric power engineering drawing, generating structured cells through line segment classification and combination and table detection, extracting and cleaning a text, and affiliating the text to the corresponding cells to form a structured result; screening candidate rules from the effective rule pool, extracting auditing objects from the structured result, generating auditing points, calculating the priority of the auditing points, and packaging the auditing points into an assignment unit set capable of being executed in parallel; on the basis of the dispatching unit set, optimizing task distribution by adopting a dynamic model and a greedy algorithm in an execution environment with the maximum concurrency, and doubly optimizing task execution by quantifying benefits and verifying rules; and performing rule judgment and result measurement on a task execution result.

The invention discloses a printed circuit board copper coating method based on large-scale polygon Boolean operation solution, and the method comprises the steps: data preprocessing: carrying out a series of preprocessing operations, including geometric element screening, polygon screening, line segment merging and arc splitting, on input polygon data, so as to optimize a data structure and reduce the complexity of subsequent calculation; and operation sequence optimization: performing difference set operation on the main polygon and each polygon one by one by splitting a polygon union set result so as to optimize the operation sequence and reduce the increase of the number of edges in an intermediate result, thereby reducing the calculation complexity. The polygon Boolean operation comprises intersection operation, namely, screening and calculation of intersection points are accelerated through grid division and a KD tree, intersection between a straight line segment and a curve is included, the intersection points are determined through a geometric method, and in-out attributes of the intersection points are considered. And then contour processing is carried out, that is, a polygon contour after Boolean operation is generated by utilizing an edge winding algorithm and access point attributes, and whether a union set or an intersection set is solved.

Disclosed are free-form curved surface slicing method and device based on implicit model, includes following: (1) Using mesh model of layered curved surface to intersect with implicit model of a part to be manufactured to obtain contour lines; (2) Comparing rules for intersecting contour lines and meshes within mesh, mesh coordinates are substituted into implicit model, obtaining a position of an intersection point of contour lines in corresponding mesh; (3) Using interpolation method to calculate intersection coordinates of contour lines and mesh boundary, specifying storing sequence of interpolation points, storing intersection points of discrete line segments in mesh; (4) Merging unordered point sets obtained to establish topological relationship between point sets and discrete line segments, each line segment corresponds to two endpoints, each endpoint corresponds to two line segments, based on above, all points traversed will be connected into complete and ordered profile, that is sliced profile.

The invention relates to a robot G3 continuous corner smoothing method based on a Bezier curve. The method comprises the steps that robot small line segment machining tool nose position data is input, six times of Bezier curves are adopted for transfer fairing under a workpiece coordinate system, and control points of the Bezier curves are analyzed and calculated according to the maximum allowable value of tool nose position fairing errors and the condition constraint that G3 at the curve connection position is continuous; secondly, robot small line segment machining cutter axis direction data are input, six times of Bezier curves are adopted in an RPY angle space under a workpiece coordinate system for transfer fairing, and control points of the Bezier curves are analyzed and calculated according to the maximum allowable value of fairing errors in the cutter axis direction and the condition constraint that G3 at the curve connection position is continuous; and finally, parameter synchronization is carried out on the cutter shaft direction and the cutter point position path after switching and smoothing, and a B spline straight line is adopted to replace the remaining linear section. According to the method, continuous and smooth switching of the tool path G3 can be realized analytically, no iterative computation is needed, and the processing real-time performance and stability are improved while the fairing error is controllable.

The invention provides a progressive optimization design method for structural parameters of a spiral chute, and relates to the technical field of spiral chute optimization design, and the method comprises the following steps: establishing a numerical simulation model of a gas-liquid-solid three-phase flow field, and verifying and optimizing the numerical simulation model to reach a predetermined standard. Determining primary optimization structure parameters, randomly generating a plurality of groups of primary optimization structure parameters as a sample scheme, predicting sorting efficiency and flow uniformity by using an RBF neural network training model, and finally calculating a fitness value and performing genetic algorithm optimization. After optimization, the optimal parameter values are obtained through further correction and serve as a first group of optimization structure parameters; thirdly, the section of the spiral chute is subdivided into a straight line section and a curve section to confirm secondary optimization structure parameters, fitness maximization continues to be selected as a second optimization target, and the same method is adopted to obtain the optimal value of the secondary optimization structure parameters. The method aims at improving the separation efficiency and the flow uniformity of the spiral chute and meeting the engineering design requirements.

The embodiment of the invention discloses a tool path planning method, device and equipment, and belongs to the technical field of tool path planning, a tool path comprises a tool broken line section path and a tool straight line section path, and the scheme comprises the steps of obtaining a tool preset path; segmenting the preset path by using a bidirectional look-ahead algorithm to obtain a segmented straight line segment and a segmented broken line segment; utilizing a two-stage asymmetric corner smoothing model to carry out trajectory planning on the broken line segment to obtain a cutter broken line segment trajectory; and based on the broken line section track of the cutter, track planning is conducted on the straight line section according to a seven-stage S-shaped feeding rate curve of the cutter, and the straight line section track of the cutter is obtained. According to the technical scheme, sustainable acceleration / deceleration can be achieved on multiple corners, the speed of a tool is high, and the machining efficiency is high.

The invention provides an effective room identification method, device and equipment and a storage medium, and the method comprises the steps: converting wall elements in an architectural plan into a line segment set, and carrying out the intersection detection and topology analysis to obtain an undirected weighted graph structure; determining an influence area in response to a user editing operation, and performing incremental updating on the influence area to obtain a locally updated graph structure; performing ring detection processing on the locally updated graph structure by applying a minimum ring basis algorithm to obtain a minimum ring basis containing a basic ring in the influence region; and identifying the effectiveness of the rings according to the geometric features and the topological features of each ring in the minimum ring basis, and identifying the effective rings as effective rooms. According to the method, through incremental updating and local processing, the calculation overhead of full-amount reconstruction is avoided, the calculation efficiency and real-time performance of room recognition are remarkably improved, and the method is suitable for interactive design scenes of large complex architectural planar graphs.

The invention provides a control method of a laser cutting head, which comprises the following steps of: acquiring a CAD drawing of a to-be-obtained cutting three-dimensional product, and extracting product three-dimensional geometric information including a straight line segment, an arc and a curve of the drawing from the CAD drawing; a laser cutting path is planned; the laser cutting head is controlled to walk in real time according to the planned cutting path, the working environment temperature of the laser cutting head and the surface temperature of the cut material are monitored in real time, and an optimal laser emission power calculation model in the laser cutting process is constructed; and controlling the real-time laser emission power of the laser cutting head according to the calculated optimal real-time laser power. Compared with a traditional optimization method based on a mechanism model, the method has the advantages that cutting path planning of the laser cutting head is conducted based on the obtained product drawing, the method can better adapt to the nonlinear relation between complex technological parameters and quality, more accurate prediction capacity is provided, and the method is suitable for large-scale popularization and application. And a reliable guidance and optimization scheme is provided for laser cutting processing.

The invention discloses a method and a system for rapidly measuring cable force of a stay cable based on a digital image correlation method. The method comprises the following steps: acquiring video data of the stay cable; a line segment measurement calibration method is adopted, stay cable texture points serve as feature points, and a feature point selection mechanism is established; establishing a pixel-physical space coordinate mapping model based on a redundant observation method; model parameters are calculated through a collaborative calibration method; performing displacement measurement based on a digital image correlation method; establishing a double-layer feature extraction mechanism to complete local and global feature extraction; weight distribution of the local features and the global features is dynamically adjusted through a weight adaptive fusion strategy; and finally, establishing a double-layer tracking and failure recovery mechanism to complete hierarchical collaboration of coarse-grained global tracking and fine-grained local tracking. And carrying out fast Fourier transform on the dynamic displacement measurement result, and calculating to obtain the cable force. And reliable technical support is provided for non-contact accurate calculation and measurement of the cable force.

The invention discloses a special-shaped screen defect detection method and device, equipment and a storage medium, and relates to the technical field of screen detection, and the method comprises the steps: obtaining a screen detection image of a special-shaped screen; screening out a screen area of the screen detection image, and extracting an outer contour of the screen area; cutting the outer contour into a straight line section and a curved line section; generating a rectangular boundary area based on the straight line segment and the curve segment; and performing defect detection on the rectangular boundary region to obtain defect detection information, and mapping the defect detection information to the screen detection image to complete defect detection of the special-shaped screen. According to the invention, defect detection of the special-shaped screen can be accurately completed.

The invention relates to the technical field of fan detection, and discloses a fan blade angle detection method and an unmanned aerial vehicle fan blade inspection method.The method comprises the steps that a fan image shot from the side face of a blade is obtained; determining a first line segment representing the tower drum and a second line segment representing the blade in the image through a line segment detection model; and calculating the included angle between the blade and the tower drum based on the position information of the first line segment and the position information of the second line segment, the fan blade and the straight line segment corresponding to the tower drum are determined in an image recognition mode, and the situation of the included angle between the tower drum and the blade of the fan in the actual state can be determined more conveniently and accurately.

The invention discloses a wall surface identification method and device and a storage medium, and relates to the technical field of sensor positioning, and the method comprises the steps: carrying out the fitting processing of a laser radar point cloud collected by a laser point cloud radar, and obtaining a plurality of fitting line segments; screening a target line segment which is greater than a first length threshold and has the longest length from the plurality of fitting line segments; projecting target point clouds associated with the position of the target line segment in wall point clouds and obstacle point clouds collected by the depth camera on the target line segment, and determining at least one target wall surface line segment; and if the length of the target wall surface line segment is greater than a line segment threshold value, outputting the target wall surface line segment under a robot coordinate system to be used by a welting program. According to the invention, after laser point cloud filtering fitting, depth camera wall surface obstacle point cloud projection calibration is fused, the technical problem that the wall surface is difficult to effectively identify is solved, and the wall attaching precision and obstacle avoidance reliability of the cleaning robot in a complex scene are improved.

The invention discloses a method for generating a reservoir area river channel cross section by fusing multi-source data and encrypting step by step, and relates to the field of hydropower engineering measurement. The method comprises the steps of obtaining multi-source data of a reservoir area river channel section, and performing fusion processing on the multi-source data to obtain a point cloud set Q; laying section line segments, and determining an initial section data set A according to the laid section line segments; obtaining topographic feature points on the section line segments to form a new section data set B; obtaining a new section data set C; forming a new section data set D; converting the section data set D into a section mileage file; and drawing the mileage file into a cross section diagram, and further generating a reservoir area river channel cross section. According to the method, multi-source data are fused into point cloud data of the whole reservoir bank area, data sources comprise true color airborne laser point cloud data of the shore part, elevation point data collected by an underwater unmanned ship and elevation point data manually collected by a reservoir close to the shore and a shallow water area, and high precision and comprehensiveness of the data sources are guaranteed.

The invention discloses a method and system for positioning a panoramic camera in a point cloud map, and the method comprises the steps: carrying out the preprocessing of a panoramic image and three-dimensional point cloud map data, and obtaining two-dimensional line segment features and three-dimensional line segment features; based on the two-dimensional and three-dimensional line segment features, calculating two-dimensional and three-dimensional line segment main directions and comparing to obtain candidate rotation estimation; designing a two-dimensional distance function and a three-dimensional distance function based on candidate rotation estimation to evaluate the rough pose, designing a two-dimensional / three-dimensional line segment loss function to score the candidate pose, and screening out # imgabs0 candidate poses meeting requirements according to scores; and carrying out two-dimensional and three-dimensional key point extraction on the # imgabs1 # candidate pose, matching the two-dimensional key points with the three-dimensional key points, and carrying out further pose estimation on the candidate pose with the maximum matching quantity by adopting a PnP-RANSAC algorithm, so as to obtain final fine pose estimation. The method overcomes the defects that in the prior art, point feature detection is unstable and depends too much on an ideal static environment.

The invention relates to a railway line unit state evaluation method, device and equipment, a storage medium and a computer program, and the method comprises the steps: dividing a railway line unit according to a preset length based on a straight line segment and a curve segment, and obtaining a railway line evaluation unit set, establishing a comprehensive evaluation hierarchy model of the service state of the heavy haul railway line unit with the lowest score significant, outputting an index set of each line evaluation unit in a railway line evaluation unit set by using the model, constructing a priority relation judgment matrix, and if the consistency ratio of the priority relation judgment matrix is greater than or equal to a ratio threshold value, determining that the service state of the heavy haul railway line unit is not the same. And if the line evaluation unit is not in the priority relation judgment matrix, judging again after adjusting the priority relation judgment matrix, otherwise, constructing a weight set, calculating a comprehensive score according to the weight set and the index set, performing minimum score saliency processing according to the comprehensive score to obtain a final score, and outputting an analysis result of each line evaluation unit according to the final score.

A method includes obtaining, using at least one processing device, image data associated with a scene. The method also includes identifying, using the at least one processing device, multiple line segments based on the image data. The method further includes identifying, using the at least one processing device, one or more boundaries around one or more objects detected in the image data. In addition, the method includes estimating, using the at least one processing device, a position of a vanishing point associated with the image data based on multiple collections of the line segments while excluding, from the multiple collections, one or more of the line segments that overlap with or that are included within the one or more boundaries.

The invention relates to the technical field of computers, and discloses a data processing method and device, computer equipment and a storage medium, and the method comprises the steps: executing at least one determination operation, and obtaining a target pitch angle of a camera for a target vehicle; according to the target pitch angle, two-dimensional points of lane lines related to the target vehicle are mapped to a three-dimensional space, and the determination operation comprises the steps that according to the pitch angle targeted by the determination operation, the two-dimensional points of each lane line in the first lane line and the second lane line are mapped to the three-dimensional space, and three-dimensional points, targeted by the determination operation, of each lane line are obtained; fitting the three-dimensional point of each lane line for the determination operation to obtain a first fitting line segment of the first lane line for the determination operation and a second fitting line segment of the second lane line for the determination operation; and according to a first point on the first fitting line segment and a second point corresponding to the first point on the second fitting line segment, determining a target pitch angle or a pitch angle for next determination operation.

The invention discloses a three-dimensional conversion method for a two-dimensional geological profile map, and the method comprises the steps: S100, data obtaining and preprocessing: obtaining an original geological profile map, carrying out the format conversion of the original geological profile map, eliminating overlapped line segments and micro short line segments, and maintaining the topological consistency; s200, conversion parameter calculation is conducted, specifically, drilling coordinates are obtained, and a conversion script is compiled based on the real geodetic coordinates, the two-dimensional profile map coordinates and the azimuth angle; and S300, conversion execution: reading the map subjected to format conversion in the S100 into three-dimensional modeling software, and executing the script language compiled in the S200 to obtain a three-dimensional geological profile map. According to the method, the whole file is converted, the conversion from the two-dimensional geological prospecting line section to the three-dimensional geological section map can be rapidly and integrally completed through the existing software technology and simple script codes so as to be used for three-dimensional geological modeling, a large amount of manpower and material resources can be effectively saved, and the production efficiency can be improved.