2131 results about "Reference plane" patented technology

The invention provides a regeneration wafer defect detection method and system based on point cloud, and belongs to the technical field of semiconductor manufacturing detection, and the method comprises the steps: carrying out the registration and fusion processing of the point cloud data of a target wafer, and obtaining the target point cloud data; performing plane fitting on the target point cloud data to determine a reference plane; performing feature extraction on the target point cloud data relative to the reference plane to obtain feature data; positioning a defect area based on the feature data, and calculating geometric parameters of the defect area; correcting the geometric parameters by using a preset error compensation model to obtain target geometric parameters; inputting the position of the defect area, the target geometric parameter and the feature data of the corresponding defect area into a defect classification model to obtain a defect type of the defect area; and generating a defect detection result of the target wafer based on the defect types, the positions, the target geometric parameters and the feature data of all the defect areas of the target wafer. According to the invention, the efficiency and reliability of regenerated wafer defect detection are improved.

The invention relates to the technical field of low-temperature storage tank installation, in particular to a low-temperature storage tank heat insulation module installation construction method which comprises the steps that expansion bolts are implanted into preset point positions of the inner wall of a low-temperature storage tank, inner wall morphology data are obtained through three-dimensional laser scanning, and a point cloud model is generated. A BIM system is used for constructing a three-dimensional model of the installation datum plane, the theoretical leveling height of each expansion bolt point position is calculated, and a leveling parameter instruction set is generated. And a servo motor of the bolt tightening equipment is driven to rotate the ball nut, so that the leveling gasket moves to the target height. And a press-fitting path is generated, a press-fitting mechanical arm is controlled to align the preformed hole of the heat insulation module to the screw part of the expansion bolt and press-fit, and the surface of the heat insulation module is fully attached to the surface of the leveling gasket. And a fastening nut is installed on the screw part of the expansion bolt, three-dimensional deviation analysis is carried out, and iterative correction is carried out. Compared with the prior art, the effects of shortening the construction period, improving the leveling precision, reducing stress concentration, ensuring long-term stability and the like are achieved.

The invention relates to the technical field of computer vision detection, and discloses a height feature information generation method, device and equipment based on point cloud and a medium, and the method comprises the steps: obtaining three-dimensional point cloud data of the surface of an object to be detected, carrying out the preprocessing of the data to obtain a target point cloud, and carrying out the reference plane fitting of the target point cloud, and calculating the vertical distance of each point in the target point cloud based on the reference plane obtained by fitting and generating height difference data, and finally extracting and outputting surface height feature information according to the height difference data. According to the method, the three-dimensional point cloud data is subjected to preprocessing noise removal, datum plane accurate fitting and height difference data separation, high-precision extraction of tiny height changes of a complex surface is achieved, the detection efficiency is improved, dependence on high-cost optical equipment is reduced, and the method is compatible with various workpiece shapes.

The invention relates to the field of intelligent industry, and discloses a visual robot hand-eye calibration method based on a circular hole calibration plate, which takes the circle center of a calibration plate circular hole as a fixed point as a constraint, establishes a hand-eye calibration model combined with robot kinematics parameters, and performs a contrast experiment with a traditional standard ball method under the same experiment platform. After a calibration result is obtained, a certain high-precision plane is scanned with reference to a flatness error evaluation method, a point cloud of the plane is obtained, the distance root-mean-square error between the point cloud and the least square fitting plane is calculated, and the distance root-mean-square error serves as an evaluation parameter of the hand-eye relation calibration precision. According to the method, the position coordinates of the fixed points in the space are collected more accurately under the on-line laser coordinate system, and kinematics parameters of the robot are incorporated into the hand-eye calibration model, so that the root-mean-square error of plane measurement can be reduced, and the superiority of the method is verified.

The invention relates to the technical field of ocean exploration, in particular to a non-buried submarine pipeline identification method and system based on multi-beam point clouds, and the method comprises the steps: obtaining three-dimensional point cloud data of a submarine pipeline region, and carrying out the preprocessing of the obtained point cloud data; performing neighborhood construction based on the preprocessed point cloud data, setting a mask attention mechanism according to a neighborhood structure, performing geometric coding and feature enhancement by using an output result of the mask attention mechanism, performing decoding operation on the enhanced features, recovering feature representation of the complete point cloud, and performing suspended span height calculation and verification based on a segmentation result. According to the method, a decoding strategy combining reverse distance weighted interpolation and jump connection is adopted, enhanced features are accurately propagated to the original point cloud, the seabed datum plane is fitted through the reverse distance weighted interpolation, and the high-risk suspended cross area can be rapidly positioned.

The invention relates to the technical field of artificial intelligence processing, in particular to a manufacturing and processing system based on artificial intelligence simulation control parameters. According to the manufacturing and processing system, three-dimensional space-time coding is carried out on vibration, temperature and deformation time-varying signals through a multi-mode sensing module; generating a composite feature body including an equipment rigidity distribution matrix, a thermal deformation gradient vector and a material residual stress tensor, and solving the problems of spatial-temporal asynchronization and physical field feature splitting of multi-source data; the parameter resolving module constructs a parameter incidence matrix based on a fractal neural network, combines dynamic constraint conditions of thermal deformation gradient vectors, performs multi-objective optimization on a rigidity distribution matrix and residual stress tensor, generates an initial parameter solution set for eliminating time-lag deviation, and breaks through the nonlinear coupling optimization bottleneck of a traditional static model; and the state dissociation module calls a historical wear feature library to construct a performance attenuation reference surface, and tool accumulated wear and instantaneous thermal deformation disturbance are synchronously inhibited through convolution operation and projection correction of a dynamic compensation factor.

The invention discloses a detection method of a high-speed connector and a related device, and the method comprises the steps: carrying out the plugging motion control of the high-speed connector, injecting a pulse sequence carrying a displacement mark into a differential signal pair in the process, and obtaining the initial reflection data containing a plugging displacement-time index; space-time boundary information of a gap coupling section, an initial touch deformation section and a full-insertion steady-state section is analyzed and determined in a segmented mode through reflection characteristics. And generating a mutual excitation pulse pair in the initial touch deformation section, and executing differential sampling processing by using a thermal-electric coupling effect to obtain a thermally induced group delay sequence and a geometrically induced impedance differential sequence. A dynamic zero-reflection anchor point is generated based on double-sequence fusion, and real-time reference plane migration processing is realized to obtain a calibration impedance curve. And repeating the processes of insertion and extraction, generating an elastic difference curve through displacement-time coaxial difference processing of a bidirectional calibration impedance curve, and positioning an irreversible abnormal section of the impedance. According to the method, the plugging transient impedance change can be continuously monitored, and the early failure risk of the high-speed connector can be evaluated in time.

The invention discloses a fabric draping form three-dimensional quantification method, and belongs to the technical field of fabric draping form quantification, and the method comprises the steps: carrying out the three-dimensional scanning of a fabric sample, constructing a draping three-dimensional model of the fabric sample, determining the maximum dissectable distance of the draping three-dimensional model, selecting the sectioning step length, and calculating the number of sectioning layers. Determining the number of horizontal section cutting planes parallel to the horizontal reference plane, and dividing the three-dimensional suspension model into a plurality of suspension sub-models along the positive direction of the normal axis; calculating an orthogonal projection area and an orthogonal projection contour perimeter of each suspension sub-model on a horizontal reference plane according to the coordinates of all surface vertexes of each suspension sub-model, and further calculating a layered suspension index of each suspension sub-model; and taking the arithmetic mean value of the layered drape indexes of the drape sub-models as a drape index for quantifying the drape form of the fabric sample. According to the method, the problems of dimension deficiency and insufficient quantization precision in the prior art can be solved, and fine quantization of the drape form is realized.

The invention provides an intelligent manufacturing control system and method for precision part machining, and the method comprises the steps: extracting the geometric entity information of a to-be-machined part from the three-dimensional CAD model data of the to-be-machined part, and constructing a topological association graph of the to-be-machined part according to the geometric entity information; all machining feature partition surfaces in the topological association graph are extracted based on machining navigation parameters of the topological structure of the to-be-machined part, and a topological cooperation path of the to-be-machined part is recognized according to the contact relation between the machining feature surfaces in all the machining feature partition surfaces and the datum plane; according to an association surface set associated with the topology cooperation path in the topology association graph, combining edge concavity and convexity codes of the to-be-processed part to construct processing constraint features; and the to-be-machined part is machined on the basis of a tool movement path generated by the machining constraint features. According to the technical scheme provided by the invention, the topological incidence relation between the surfaces of the precision part can be identified, and the generated tool path is prevented from generating machining conflicts in the machining process.

This automotive rear module is an automotive rear module for reinforcing the side outer of an automobile, which is formed by hot stamping a plurality of integrated steel plates. When viewed from the vertical direction of the reference plane, the projected area is S (m 2 ), among the components of the automotive rear module, the total weight of the components is W (kg), and the total weight of the steel components with a plate thickness of 1.5 mm or less and a minimum Vickers hardness of HV230 or more is W A . When, W / S is 24 or less, and W A / W is 0.30 or more.

The invention relates to a method for the automated operation of a device (1) for capturing biometric identification features of a person (2), as well as to a device. The method comprises the following: providing the device (1) with a camera device (4) for capturing a digital biometric facial image and a fingerprint device (13), wherein the camera device (4) for setting a recording position and the fingerprint device (13) for setting a usage position for capturing the fingerprint are adjustable by means of a displacement device (8) at least with regard to a respective height above a reference plane (5) and independently of one another;Moving the camera device (4) by means of the displacement device (8) into a current recording position such that a horizontal viewing axis (6) is formed between the camera device (4) and a person (2) arranged opposite the camera device (4); determining a current height of the camera device (4) above the reference plane (5); providing assignment data which, for a plurality of persons of different sizes, indicate a respective size-adjusted assignment between a reference height of the camera device (4) and an assigned reference position of the fingerprint device (13); determining a reference height corresponding to the current height of the camera device (4) and a reference position of the fingerprint device (13) assigned to this height;Moving the fingerprint device (13) to the assigned reference position and capturing the digital biometric facial image of the person (2) and / or the digital fingerprint of the person (2);

The invention provides a substation equipment multi-view point cloud data fusion three-dimensional modeling method and system. The method comprises the steps of obtaining original point cloud data under multiple views and synchronously updating an equipment surface feature topological relation; setting a registration reference surface matched with the geometric structure of the equipment according to the spatial distribution characteristics of the point cloud; carrying out rigid alignment by adopting a point cloud registration algorithm based on a feature weight; and calling a curvature constraint-based three-dimensional reconstruction algorithm through the registration error parameters to generate a high-precision grid model. Wherein the registration reference plane setting needs to judge the point cloud coverage integrity and the overlapping area condition, and when the condition is not met, the collection view angle is adjusted or the point cloud data is complemented; the registration condition is judged through a curvature consistency index; the three-dimensional reconstruction process comprises voxel down-sampling, curved surface function construction and grid optimization, and the final model needs to be subjected to electrical safety verification. According to the method, high-precision three-dimensional modeling of the substation equipment can be realized, and the geometric feature reduction degree and the electrical safety verification reliability are improved.

The invention discloses a test pit volume measurement system based on three-dimensional laser scanning, relates to the technical field of engineering measurement, and mainly solves the technical problems that a traditional test pit volume measurement method is low in efficiency, poor in precision and greatly influenced by human factors. According to the technical scheme, the system is characterized in that a three-dimensional laser scanner with the scanning distance being 0.5-150 m and the point cloud density being 10000-500000 points per square meter is adopted to scan a test pit area from a plurality of sites; recognizing four symmetrically arranged targets through a point cloud registration module in the control processing unit to realize multi-site cloud data fusion; after denoising processing is carried out by using the point cloud filtering module, a surface model is constructed by using the triangulation network modeling module, and finally, the closed volume is calculated based on the spatial relationship between the triangulation network model and the fitted reference plane through the volume calculation module. The system is mainly used for accurately measuring the earthwork volume in filling and excavation projects in the fields of water conservancy, traffic, mining industry and the like.

The invention relates to the technical field of microscopic biological observation, in particular to a microscopic biological observation method based on a digital microscope. Firstly, original point cloud of a sample area on an objective table is obtained through structured light scanning, noise points are removed, point cloud density is optimized by adjusting scanning intensity for multiple times, high-precision and low-noise preprocessed point cloud is generated, then a reference plane is fitted in combination with the structured light point cloud, and obstacle and non-obstacle features are extracted. Detecting a second center coordinate of the bounding box by using a YOLO model, obtaining a third center coordinate through Hough circle detection, generating a standard coordinate by fusing multi-source coordinates, generating a global path based on a grid map and an RRT algorithm, predicting a track in real time, calculating a minimum Euclidean distance with an obstacle, dynamically inserting a B spline transit point to avoid a dangerous area, and ensuring a safe distance. Finally, collecting sample images in real time along the path and extracting microorganism characteristics; the technical problem that the efficiency is low when a traditional microscope is used for acquiring a microorganism image in a sample is solved.

A shadow generation method for a three-dimensional model, the method comprising: acquiring light source information of a virtual light source and an observation parameter of a virtual camera, wherein the light source information is used for forming an illumination effect of the virtual light source in a virtual scene, and the observation parameter is used for forming a field-of-view range of the virtual camera in the virtual scene for a three-dimensional model; on the basis of the light source information and the observation parameter, generating a multi-angle contour map corresponding to the three-dimensional model, wherein the multi-angle contour map is used for representing an initial shadow; on the basis of the light source information and the observation parameter, projecting the multi-angle contour map onto a reference plane, so as to obtain a hard shadow image corresponding to the three-dimensional model; on the basis of the light source information and material attributes of the three-dimensional model, obtaining a shadow feature of the three-dimensional model; and inputting the hard shadow image and the shadow feature into a trained shadow prediction model based on a convolutional neural network, and on the basis of the hard shadow image and the shadow feature and by means of the shadow prediction model, outputting a soft shadow image corresponding to the three-dimensional model.

Devices, systems, and techniques for alignment and distortion compensation of reference planes used by surgical devices. A first surgical instrument may include a processor and an electromagnetic (EM) sensor. The first surgical instrument may sense, using the EM sensor, a predicted location of the EM sensor. The predicted location may be distorted by an EM field. The first surgical instrument may receive, from a second surgical instrument, a coordinate system associated with imaging of an area around the EM sensor. The first surgical instrument may determine an adjusted location of the EM sensor based on the received coordinate system.

A measurement system includes a signal analysis circuit, a signal generator circuit, a control circuit, and a DUT connector. The DUT connector is connectable to a device under test for receiving a measurement signal outputted by the DUT. The signal analysis circuit is connected to the DUT connector for receiving the measurement signal. The signal generator circuit is configured to generate a radio frequency (RF) test signal that is transmitted to the DUT. The signal analysis circuit is configured to digitize the measurement signal, thereby obtaining a digitized measurement signal. The control circuit is configured to control the signal generator circuit to generate the RF test signal based on the digitized measurement signal, based on known error parameters of an error model of the measurement system, and based on a desired reflection coefficient at a reference plane associated with the DUT.

A derailleur hanger includes a first portion and a second portion. The first portion includes a first part and a second part extending from the first part. The second part includes an axle receiving bore configured to receive a hub axle. The second portion is configured to support a derailleur. The first part includes a frame contact surface disposed in a reference plane extending perpendicular to a center axis of the hub axle in an installed state where the derailleur hanger is mounted to the hub axle. The second portion includes a first surface disposed on a first side of the reference plane. A vehicle center plane is positioned at a second side of the reference plane in the installed state. The second part is disposed on the first side in the installed state, and is disposed at least partially farther from the reference plane than the first surface.

The invention discloses a 3D printed part morphology control method and system based on supporting structure morphology compensation, and relates to the technical field of additive manufacturing. Comprising the steps that a to-be-printed target model is processed, and a to-be-printed model considering a supporting structure form and slurry infiltration characteristics is generated; the printing direction of the to-be-printed model and the interface positions of different slurries during multi-material printing are determined, and the interface positions are perpendicular to the printing direction; according to the determined printing direction and the determined interface position, parts corresponding to different kinds of slurry are printed in sequence, and when the slurry is replaced, the datum plane of the printed part is cleaned, and residual materials are removed; and curing the printed model, removing the supporting structure, cleaning and integrally curing to obtain a final finished product. Liquid shaping is achieved only by means of the modified supporting structure, the printing time cost and the mechanical cost are saved, and accurate regulation and control of the liquid resin form are achieved on the premise that no external device is additionally arranged through integrally-formed supporting morphological optimization.

The invention discloses an unmanned aerial vehicle hovering control method and system based on a laser scanning reference, and belongs to the field of unmanned aerial vehicle control. The control method comprises the following steps: when a laser receiver receives a laser signal generated by a swinger through scanning at an elevation benchmark, obtaining the relative height of the laser receiver and an elevation datum plane according to the laser signal, and setting the target hovering height of the current unmanned aerial vehicle according to the relative height, in each control period, the following steps are executed: acquiring position information through the RTK module, and acquiring attitude data through the inertial measurement unit; three height data are obtained according to the real-time laser signal, the position information change and the attitude data change, the height feedback quantity in the gravitational acceleration direction is obtained after the height data are preprocessed and filtered, and real-time hovering control is conducted on the unmanned aerial vehicle according to the height feedback quantity. And the gravity acceleration direction parameter change information of the laser receiver, the inertial measurement unit and the RTK module is fused to realize high-precision position control.

Devices, systems, and techniques for a shared set of object registrations for devices with independent reference planes. An example imaging device may capture a first imaging data stream of a visualized surgical structure. The imaging device may communicate registration information with another surgical imaging device capturing a second imaging data stream of the visualized surgical structure. The imaging device may identify, based on the registration information, a first location, within the first imaging data stream, associated with the visualized surgical structure. The first location may be determinable based on: a first reference geometry associated with a field of view of the first surgical imaging device, a second reference geometry associated with a field of view of the second surgical imaging device, a transformation between the first reference geometry and the second reference geometry, and a reference landmark common to the first imaging data stream and the second imaging data stream.

The invention discloses an inverted coplanarity detection method based on 3D vision and refraction compensation, and the method comprises the following steps: 1, selecting an optical measuring head of which the measuring range can cover the whole bottom surface of a measured object according to the size of the bottom surface of the measured object, installing the optical measuring head below glass, and enabling light to penetrate through the glass from bottom to top; 2, establishing a glass refraction compensation model; 3, correcting the glass refraction compensation model; 4, collecting three-dimensional point cloud data of the bottom surface of the measured object; 5, point cloud extraction and processing; step 6, calculating and evaluating the coplanarity; and 7, repeating the steps 4-6 to realize coplanarity analysis under different conditions. Through fusion of a theoretical model and experimental calibration, nonlinear error measurement caused by factors such as glass refraction and non-ideal installation is solved, the measurement precision is improved, the reference plane is established by adopting a minimum area method, the coplanarity evaluation reasonability is improved, and the method can be expanded and applied to all occasions needing to measure the coplanarity of the bottom structure from bottom to top.

The invention discloses a material movement behavior monitoring method and system based on monocular vision, and relates to the field of material movement monitoring, and the method comprises the steps: firstly collecting a material movement video through a monocular high-speed camera, and extracting a continuous state sequence of a material on a two-dimensional image plane through employing an instance segmentation and time sequence tracking technology; the method is characterized in that a time sequence deep learning model is introduced to analyze a state sequence, and a key event that a material collides with a working surface of equipment is automatically identified, so that the collision moment and contact point coordinates are accurately obtained. In this way, the collision contact point is used as a geometric anchor point for three-dimensional space back calculation, a two-dimensional image track is reversely projected and reconstructed into a three-dimensional space motion track in combination with internal parameters of a camera and physical parameters of an equipment reference plane, then key kinetic parameters such as the speed and the recovery coefficient are calculated, and low-cost and high-precision automatic online monitoring is achieved.

The invention discloses a fuel cell stack core straightness and perpendicularity detection device and method. A reference surface is positioned through a visual camera, and a transmission mechanism drives a laser line scanning instrument to perform line scanning point taking on an upper end plate and fit a reference plane; moving a visual camera through an X-axis or Y-axis transmission mechanism, scanning a long-edge extension line and a short-edge extension line of the upper end plate on a reference surface of the upper end plate along the horizontal direction, obtaining an intersection point, determining a coordinate origin, and performing reference determination by taking the long-edge extension line and the short-edge extension line as X-direction or Y-direction reference of a coordinate system; the transmission mechanism drives the laser line scanning instrument to carry out line scanning on the straightness of the side edge of the reactor core assembly, straightness line scanning data are obtained, line scanning point position coordinate values are obtained, data analysis is carried out according to the coordinate values, and compared with the prior art, high-precision detection of the straightness and perpendicularity of the fuel cell stack core is achieved, and the detection precision is improved. And the assembly quality and performance of the reactor core assembly are ensured.

The invention discloses a flexible circuit board warping degree non-contact detection method and system, and the method comprises the steps: carrying out the multi-angle scanning of a target flexible circuit board, and obtaining three-dimensional point cloud data; separating a component area and a circuit board substrate area based on a deep learning algorithm, and constructing a circuit board substrate three-dimensional model; a reference reflecting plate is arranged at the bottom of the three-dimensional model, relative spatial position parameters of a reference plane and the detection device are obtained in real time, and a circuit board three-dimensional substrate model is constructed; constructing a self-adaptive coordinate system, and mapping the three-dimensional substrate model of the circuit board into a reference plane coordinate system; curvature parameters of all nodes of the three-dimensional model are calculated through differential geometric analysis, and a curved surface gradient tensor field is constructed; and obtaining a maximum warping amount, a regional warping gradient value and an overall warping degree distribution parameter. The method has the advantages that the warping degree of the circuit board is accurately evaluated through three-dimensional scanning, a deep learning algorithm and differential geometric analysis, and the method has the advantages of high precision, full automation and quick response.

The invention discloses a large titanium alloy part integral welding and inspection method and a clamp thereof, and aims to solve the problem of machining and detection of semi-closed titanium alloy box parts in the aviation field, the parts are divided into X, Y and Z three-section structures for segmented machining, and high-precision process reference points (a reference plane and a plurality of reference points) are arranged in rigid areas of all split bodies; and reference point location cloud data are formed through three-coordinate measurement and are fitted into an integral target point cloud. During welding, a datum point is used as a positioning datum, the relative positions of the split bodies are adjusted, after welding, post-welding point cloud is measured through three coordinates to be fitted with pre-welding data, and part deformation and deviation are quantitatively evaluated in combination with dense point collection and appearance scanning technologies. According to the method, the internal detection blind area of a semi-closed structure is broken through, accurate quantitative analysis of welding deformation is achieved through datum point positioning and multi-dimensional detection, the detection steps are simplified and rapid, the machining precision and detection efficiency of large titanium alloy welding parts are improved, and the method is suitable for the fields such as aviation with the strict precision requirement.

The invention discloses an intelligent welding control optimization system and method for high-speed multi-pin connection, and relates to the technical field of welding control, and the system comprises a space coordinate obtaining module which is used for obtaining three-dimensional space coordinate data of multiple rows of intensive terminal pins; the coplanarity error calculation module is used for calculating the height deviation of each pin relative to the reference plane; the pre-welding compensation module is used for generating a compensation value and driving the fine adjustment mechanism to perform compensation; the connection reliability evaluation module is used for evaluating the connection reliability based on the updated coordinates; and the welding control decision optimization module is used for generating a welding control scheme. According to the method and the device, the technical problem of poor connection consistency and welding reliability caused by difficulty in realizing accurate identification of space errors before welding of multiple rows of intensive terminal pins in the prior art is solved, and the technical effect of improving the welding consistency and reliability by performing dynamic identification and automatic compensation on pin flatness errors before welding is achieved.

The invention relates to a quadruped robot laser odometer method based on ground point optimization, hardware and application, and the method comprises the steps: obtaining an original point cloud collected by a laser radar, carrying out the preprocessing, dividing a polar coordinate region, jointly extracting ground plane feature points and ground geometric edge feature points based on normal vector and local curvature features, and carrying out the calculation of the ground plane feature points and the ground geometric edge feature points; ground geometric edge feature points are utilized to optimize ground model fitting; optimizing a point set of the ground based on a time sequence reference plane of the ground; the optimized ground points are removed, and non-ground point features are extracted from the remaining point clouds; establishing feature association between the feature points in the current frame and the target point cloud, and screening effective matching pairs; a cascade weight optimization objective function associated with the ground point plane constraint, the non-ground point line feature constraint and the surface feature constraint is constructed, and continuous pose transformation of the quadruped robot is solved; hardware is realized based on the method, and the method is applied to real-time pose estimation and environment mapping of the quadruped robot in outdoor unstructured terrains and complex dynamic environments.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

A system and method directed to detecting placement of a medical device within a patient body, the system including a medical device including a multi-core optical fiber having a plurality of core fibers. Each of the plurality of core fibers can include a plurality of sensors each configured to reflect a light signal having an altered characteristic due to strain experienced by the multi-core optical fiber. The system can further include logic configured to determine a 3D shape of the medical device in accordance with the strain of the optical fiber. The logic can be configured to define a reference plane for the 3D shape and render an image of the 3D shape on a display of the system in accordance with the reference plane.