1004 results about "3d scanning" patented technology

The invention provides a double-pulse high-frequency switching power supply control method and system for precise electroplating, and relates to the field of electroplating, and the method comprises the steps: collecting area surface data through a three-dimensional scanner, and obtaining a three-dimensional model; extracting a high-curvature area grid according to the three-dimensional model, and calculating to obtain a surface concave-convex degree index; performing current field simulation, and calculating current density vector distribution; when the deviation of the current density vector distribution exceeds a preset deviation threshold value, pulse parameters are optimized through a genetic algorithm; selecting a pulse parameter which is most matched with the surface concave-convex degree index, and carrying out iterative calculation to obtain updated current density vector distribution; based on the difference between the updated current density vector distribution and the initial distribution, predicting a coating thickness value, and determining a preliminary evaluation index; and optimizing pulse parameters to obtain a final control scheme of uniform current distribution. According to the method, pulse parameters can be dynamically optimized according to the geometrical shape of the workpiece, and uniform current distribution and stable plating quality are realized.

The invention relates to the technical field of building steel structure construction, and provides a closed-loop control method for segmented construction of a special-shaped curtain wall steel structure, and the method comprises the steps: S101, carrying out the three-dimensional scanning of a to-be-installed component and a supporting jig frame, building a coordinate system through a positioning target, and obtaining point cloud data; step S102, extracting component splicing key points, matching point cloud with a design model, performing collision detection and generating pre-splicing positioning data; s103, converting the positioning data into a visual instruction, and guiding the component to be accurately in place in combination with the real-time hoisting data; s104, after installation, a seam area is scanned, and a new entering component is reinspected; s105, the step S102 to the step S104 are repeated until all the components are installed; and S106, integrally scanning to generate a completion model, comparing the completion model with the design model, and outputting a construction quality acceptance report. According to the technical scheme, the construction precision, efficiency and construction quality of the special-shaped curtain wall steel structure are collaboratively optimized by constructing a closed-loop control process.

The invention discloses an integrated machining device suitable for a large marine propeller, which comprises a machining adjusting assembly, the machining adjusting assembly is composed of an X-axis moving mechanism, a Y-axis moving mechanism and a Z-axis moving mechanism, one side of the Z-axis moving mechanism is fixedly provided with a rotating mechanism, one end of the rotating mechanism is fixedly connected with a cutting assembly, and the other end of the rotating mechanism is fixedly connected with a cutter; according to the large marine propeller integrated machining device with the automatic machining function and the self-adaptive clamping function, through the integrated multi-axis linkage machining adjusting assembly and the three-dimensional scanner, automatic path planning can be conducted, and automatic operation is achieved; therefore, the dependence on advanced technicians is greatly reduced, the machining efficiency and the product consistency are remarkably improved, and meanwhile, through the collaborative design of the rotatable three-jaw chuck and the center supporting mechanism, simultaneous reliable supporting from the interior and the exterior of the workpiece can be automatically achieved during clamping.

The invention provides a track board drilling parameter intelligent optimization method and system based on deep learning, and relates to the technical field of deep learning, and the method comprises the steps: recognizing a feature region in three-dimensional scanning data through a deep learning semantic segmentation network, building a local coordinate system, calculating hole site deviation, constructing a pose correction field, and achieving the intelligent correction of drilling process parameters. And an optimal drilling track is generated by using a state space search algorithm. The method can adapt to actual geometric errors of the track plate, the drilling precision and efficiency are improved, the drilling failure rate is reduced, and the manufacturing quality of the track plate is improved.

The invention belongs to the technical field of parameterization design, and discloses an orthopedic insole parameterization design method based on biomechanical data and a rule library, which comprises the following steps: by acquiring high-precision three-dimensional scanning data of a foot below a knee joint of a child, carrying out denoising processing and three-dimensional reconstruction on a foot point cloud to obtain a three-dimensional scanning data of the foot below the knee joint of the child; geometrical characteristic parameters and mechanical distribution characteristics of the foot are identified, and regional function segmentation is carried out on the foot according to the geometrical characteristic parameters and the mechanical distribution characteristics; the foot correction demand degree is calculated by analyzing an arch flatness quantitative index and a heel posture deviation characteristic, so that a personalized design parameter range is screened out; by fusing foot geometric features, simulation analysis results and material mechanical properties, an insole design scheme is constructed and optimized, a correction effect is predicted and compared with the simulation analysis results for analysis, and a design precision evaluation result is obtained; the method is applied to a personalized insole design scheme; according to the invention, accurate identification and personalized correction of the child foot problems are realized.

The invention discloses a 2D (two-dimensional) and 3D (three-dimensional) detection method and device for a wafer with bumps. The method comprises the following steps: presetting chip identification information of a chip image in a wafer image, position distribution information of the bumps on a chip and 2D and 3D algorithms; feeding the wafer to a detection table, and collecting a 2D wafer image of the wafer on the detection table; identifying each chip image in the 2D wafer image according to the chip identification information, and judging whether a chip in the wafer to be detected has a 2D defect or not according to a 2D algorithm and each chip image; identifying the actual position of each bump in the wafer to be detected according to the bump position distribution information and a chip image in the 2D wafer image; and scanning each bump according to the actual position by using a 3D image scanning camera to obtain a 3D scanning image, and judging whether a chip has 3D defects in the wafer to be detected or not according to a preset 3D algorithm and the 3D scanning image. According to the invention, 2D and 3D detection can be carried out in a one-stop manner, the detection process is saved, the detection time is shortened, and the yield is improved.

The invention relates to the technical field of three-dimensional scanning, and particularly discloses a three-dimensional scanning efficiency and precision balancing method and system based on a self-adaptive sampling strategy. The method comprises the following steps: acquiring prior data and scanning state data of a target object, fusing an initial three-dimensional point cloud, a multispectral reflection image and reflection intensity information, accurately extracting and correcting surface curvature distribution characteristics, generating a local geometric feature vector sequence by combining geometric and optical characteristics, quantifying a scanning priority, marking a scanning path based on the sequence, and obtaining a target three-dimensional point cloud image. A scanning strategy matrix is constructed by combining equipment geometric positioning precision, maximum scanning speed and time constraint, differential scanning parameter matching is realized, a local compensation sub-path is dynamically generated through real-time quality monitoring during scanning, a main path and a supplementary scanning path are spliced, and an output result is output, so that scanning efficiency and precision are pointedly balanced, and the scanning precision is improved. Local data missing or quality reduction is avoided, the accuracy of the key area is guaranteed, and the overall scanning efficiency is improved.

The invention relates to the technical field of shoe body detection, in particular to a shoe body quality detection method based on image visual analysis, which comprises the following steps: synchronously acquiring three-dimensional contour and surface spectral information of a to-be-detected shoe body through three-dimensional scanning and spectral imaging equipment to obtain original point cloud spectral data; performing registration and fusion processing on the original point cloud spectral data to construct a registered hyperspectral three-dimensional grid model containing space coordinates and hyperspectral reflectivity values; and calculating a normal vector field and a curvature distribution diagram of the surface based on the hyperspectral three-dimensional grid model so as to quantify geometric features of the surface of the shoe body. According to the invention, through registration and fusion processing, surface spectral information collected by a spectral imaging device is reversely projected and interpolated to each space coordinate vertex of an initial three-dimensional point cloud constructed by a three-dimensional scanning device, so that a registered hyperspectral three-dimensional grid model is constructed, and a surface chemical characteristic spectrum is endowed with three-dimensional space geometric coordinates. And the detection capability is improved.

The invention discloses an anti-shielding three-dimensional scanning measurement field construction method for large-size measurement, and belongs to the technical field of optical three-dimensional measurement. The method comprises the following steps: firstly, performing adaptive sampling based on geometric features of a workpiece to generate a candidate mark point set; secondly, constructing a virtual measurement scene, simulating a dynamic scanning process by using a ray tracing technology, and calculating the visibility and observation quality of each point under multiple viewpoints; then measuring precision is quantified by using a Fisher information matrix, and a layout optimization model which takes maximization of information gain as a target and meets coverage rate and engineering constraint at the same time is established; and finally, solving the model to obtain an optimal mark point subset, and verifying and outputting the optimal mark point subset. According to the method, the problems of measurement interruption, low point distribution efficiency and difficulty in guaranteeing precision caused by shielding of a large-size complex component in scanning are solved, and automatic construction of a high-robustness and high-precision measurement field is realized.

The invention discloses a laser measurement system suitable for a large complex curved surface and a measurement method thereof.The measurement system comprises a control module, a positioning module, a pre-scanning module and a high-precision scanning module, and the control module comprises a high-precision scanning planning unit and a scanning analysis unit; the high-precision scanning module comprises a three-dimensional scanning platform, a universal mechanical arm and a distance measuring laser; the measurement method comprises the steps of pre-scanning to generate an initial model, scanning path planning and scanning attitude control, high-precision scanning to collect point cloud data, preprocessing and marking of the high-precision scanning point cloud data, local optimization and supplementary scanning strategy generation and high-precision scanning model generation. According to the measurement system and method, the dynamic scanning path of the high-precision scanning module is intelligently planned based on the pre-scanning result, the pre-scanning and high-precision scanning strategies are combined, high-density coverage and uniform sampling of the large complex curved surface are achieved, measurement is accurate, the anti-interference capacity is high, and the model scanning precision is high; a dynamic supplementary scanning mechanism is automatically marked and triggered in the scanning process, and the quality of scanned data is ensured.

The invention relates to a three-dimensional digital contour detection system for a tunneling roadway, and belongs to the technical field of roadway contour measurement. The system comprises a data acquisition module used for acquiring original point cloud data through a three-dimensional scanning device; the data preprocessing module is used for preprocessing the original point cloud data to obtain actual point cloud data, constructing design point cloud data and aligning the actual point cloud data with the design point cloud data to obtain standard point cloud data; the over-break and under-break area division module is used for dividing over-break and under-break areas according to the design point cloud data; the plane screening module is used for fitting a plurality of random planes and screening out a plurality of initial candidate planes; the roadway size calculation module is used for classifying five actual planes and calculating the roadway size of the tunneling roadway based on the five actual planes; and the visualization and storage module is used for visually displaying the roadway contour information. According to the invention, the error of tunneling roadway contour measurement is reduced, and the efficiency and real-time performance of roadway contour construction are improved.

The invention discloses a three-dimensional scanner camera calibration method and system based on distortion center driving and UFED-COA. The method comprises the following steps: S1, calculating coordinates of a distortion center based on a checkerboard image; s2, extracting sub-pixel coordinates of checkerboard angular points from the checkerboard image by using an angular point detection algorithm, and calculating a radial distance and a radial distortion difference value of each angular point relative to a distortion center; s3, preliminarily screening candidate points through a sliding window, and determining an anchor point set; s4, determining weight coefficients of non-anchor points based on the anchor point set; s5, performing weighted polynomial fitting by using the weight coefficients of the non-anchor points, and updating the coordinates of the angular points; s6, optimizing camera parameters based on a UFED-COA algorithm, performing initial calibration by using the updated angular point coordinates, updating a population position by combining uniform initialization and a fitness distance balance mechanism, and minimizing a re-projection error; according to the method, the camera parameters are optimized through distortion center driving and anchor point weighted smoothing corner noise suppression in combination with the UFED-COA algorithm, and high-precision camera calibration is achieved.

The invention relates to the field of mechanical engineering, discloses a quick-connection welding control method and system for aluminum alloy pipe fittings, and aims to solve the problems that in the prior art, heat input control is not accurate, the positioning and centering efficiency is low, parameter adjustment lacks self-adaptability, and the multivariable cooperative control capacity is insufficient. The method comprises the following steps: acquiring point cloud data of the end surface of a pipe fitting through three-dimensional scanning, and calculating a six-degree-of-freedom butt joint deviation by adopting an improved iterative nearest point algorithm; a compensation track is generated based on multi-objective optimization, and the six-degree-of-freedom parallel robot is driven to achieve fine adjustment; and after the butt joint deviation is stable, welding is started according to a sectional type current increasing strategy, and the wire feeding and welding speed is dynamically adjusted in combination with fusion depth feedback and visual detection. According to the scheme, high-precision automatic butt joint, stable molten pool control and online defect closed-loop treatment are achieved, the welding quality consistency and the production efficiency are remarkably improved, and the method is suitable for efficient and high-quality connection of various aluminum alloy pipe fittings.

The invention discloses an underwater pouring concrete defect detection device, relates to the technical field of engineering detection, and particularly aims to solve the problems that an existing underwater pouring concrete defect detection method is limited by water medium attenuation, surface irregularity, concrete material characteristics and the like, and the detection efficiency is low. Therefore, the problems of unclear imaging, insufficient coverage and difficult effective acquisition and identification of defect signals are solved. The device is characterized by comprising an underwater operation platform, a multi-mode acoustic detection module integrated with a phased array ultrasonic and acoustic emission sensor array, a self-adaptive acoustic coupling mechanism, a high-precision positioning and three-dimensional scanning module and an intelligent data acquisition and processing unit. By adopting the technical scheme, efficient, accurate and reliable detection and three-dimensional positioning of internal and surface defects of the underwater pouring concrete structure are realized, and the underwater pouring concrete structure detection system has high detection precision, high applicability, high automation degree and good environmental robustness.

The invention relates to the technical field of 3D scanning, and discloses a real-time alignment highlight curved surface metallographic 3D scanning method and system, and the method comprises the steps: extracting normal vector features from a multi-view point cloud, calculating an approximate geodesic distance, and constructing a normal vector geodesic distance correlation graph; constructing a constraint propagation intensity matrix through a geodesic distance inverse ratio and a normal vector included angle exponential attenuation function, and enabling the constraint propagation intensity matrix to act on a multi-view point cloud registration residual error to generate a closed-loop error energy field; constructing a graph cut network node at the gradient extreme value of the energy field, and executing a minimum cut algorithm under geodesic constraint by taking the integral value of the energy field as the side capacity to complete global point cloud fine registration; according to the method, the local geometry and the global topology are combined through the normal vector geodesic association diagram, the problem that the registration accumulative error breaks out at the closed loop position due to the fact that the highlight curved surface metallographic surface lacks texture features is solved, and real-time accurate alignment of the highlight curved surface metallographic workpiece multi-view point cloud on an automatic detection production line is achieved.

The embodiment of the invention provides a three-dimensional scanning detection method, which is applied to the technical field of three-dimensional scanning, and comprises the following steps: setting at least one reference area on a preset model, and definitely defining a key position which needs to be preferentially concerned by a user and ensures the integrity of scanning data; then, a user is guided to scan based on the set reference area, verification information is generated in real time in the scanning process, and the verification information displays the achievement condition of the accumulation degree of the scanning data in the reference area relative to the saturation threshold value of the scanning data in a visual mode; therefore, a user is directly notified whether the scanning data of each reference area is complete or not, and the user is guided to carry out supplementary scanning on the incomplete area in time. According to the scheme, the verification of the scanning data integrity is advanced from a traditional post detection link to a real-time scanning process, so that a user can actively ensure the scanning integrity of a key area based on visual feedback, and the detection misjudgment and reworking risks caused by missing scanning or incomplete data are fundamentally avoided.

The invention provides a wooden door customization order flexible splitting and plate utilization rate optimization method and system, and relates to the technical field of wooden product customization intelligent manufacturing, and the method comprises the steps: carrying out the standardization of customer order data, and generating an order vector and a door style assembly constraint; constructing point cloud data through three-dimensional scanning of the plate and reconstructing the point cloud data into a plate digital model; generating a mapping table based on constraint and order execution door style adaptation; the order data, the mapping table and the plate model are combined, the number of assemblies, splicing ports and the waste rate are optimized through flexible order splitting logic, and an order is decomposed into cuttable door assemblies and matched with specifications; and finally, a correction cutting scheme avoiding defects is generated, a production instruction containing the plate utilization rate is output, efficient resource utilization can be achieved, and material waste and production cost are reduced.

The invention relates to a dynamic simulation method and system for a tooth movement process based on a Type model, and the method comprises the steps: carrying out the data collection of an artificial tooth and a fixed appliance through three-dimensional scanning, and obtaining the three-dimensional data of a tooth jaw structure; performing overlap analysis on the crown root model according to the three-dimensional data to obtain a digital dental model containing periodontal tissues; performing material attribute assignment on an anatomical structure in the digital tooth jaw model according to preset material parameters to obtain a biomechanical tooth jaw model; and performing time recursion iteration on the biomechanical tooth jaw model through finite element analysis to obtain four-dimensional dynamic simulation data for simulating a tooth movement process, so as to provide visual orthodontic process teaching demonstration based on the four-dimensional dynamic simulation data. According to the invention, the dynamic visual simulation of the tooth movement process is realized, the feedback of the Type Dont system can be quantified, and the teaching interactivity is improved.

A system for inspecting an object, includes: a source of X-ray radiation; a horizontal array of detectors, wherein the source and the array of detectors are positioned substantially on a first plane; a platform configured to rotate as well as translate in a vertical trajectory, wherein the platform is positioned on a second plane between the source and the array of detectors, and wherein the object is disposed on the platform; and a computing device configured to: cause the source to fire a substantially horizontal fan beam in a third plane, wherein the third plane is above a top of the object; acquire calibration data from the array of detectors while the third plane is above the top of the object; cause the platform to simultaneously rotate and raise the object vertically upwards; acquire scan data of the object; and generate a three dimensional scan image of the object.

The invention relates to the technical field of building engineering prefabricated part construction, in particular to a prefabricated part assembling precision regulation and control method and system based on three-dimensional scanning, and the system comprises an assembling regulation and control center, an assembling pretreatment module, a standard building module, an assembling analysis module, a regulation and control execution module, a recording and tracing module and a rear-end response module. According to the method, establishment of the global coordinate system is a basis for achieving data unification of multiple devices, a unified standard and reference frame is provided for follow-up splicing precision control, deviation can be found and corrected in time by further monitoring and regulating the splicing precision of the prefabricated parts in real time, it is ensured that the mounting positions and sizes of the parts meet the design requirements, and the production efficiency is improved. And the structural safety and stability of the building are improved.

The invention discloses a forming method for a bent blade of a stamping and welding centrifugal pump, and relates to the field of centrifugal pump blades, which comprises the following steps: S1, three-dimensional modeling and plane unfolding; s2, wire cutting; s3, mold forming; s4, performing three-dimensional scanning; s5, arc analysis; s6, contour analysis; s7, clamping adaptation and gap detection; and S8, molding quality verification. According to the method, a stamping forming process and a three-dimensional scanning feedback technology system are combined, a closed-loop precision control system is formed, after stamping forming, a three-dimensional scanner is used for rapidly obtaining actual profile point cloud data of the blade, the actual profile point cloud data is compared with a design model in a high-precision mode, and profile deviation caused by springback is accurately quantified. And based on the deviation data, carrying out reverse compensation correction on the molded surface of the mold. The problems of profile out-of-tolerance and welding assembly clearance caused by springback are solved, and high-precision, high-efficiency and high-consistency manufacturing of the centrifugal pump bent blade is achieved.

The invention discloses a synchronous detection system for surface density and wall thickness uniformity of a composite bulletproof helmet, which belongs to the technical field of bulletproof helmet detection and comprises a detector cooperative control module, a two-parameter synchronous acquisition module, a data preprocessing module, a two-parameter cooperative constraint module and an intelligent modeling output module. Through the integrated design that the detection unit integrates the 3D scanning detector, the microwave thickness measuring probe and the beta-ray density detector, and in cooperation with the synchronous triggering and double-channel signal acquisition mode of the double-parameter synchronous acquisition module, synchronous acquisition of the surface density and wall thickness data of the helmet is realized; the problems that traditional step-by-step detection is low in efficiency and poor in data relevance are solved, the detection efficiency and the accuracy of quality judgment are greatly improved, meanwhile, a detection report containing process optimization suggestions is output, the problems that traditional detection results are not visual, and connection with the production process is not smooth are effectively solved, and the product quality is improved. And accurate guidance can be provided for mass production quality control and process adjustment.

The invention relates to the technical field of automatic control, in particular to a rapid alignment parameter optimization method and device for a receiving and sending ball cylinder of a pipe cleaner. Actual point cloud data of the tail of the pipe cleaner and the inlet of the receiving and transmitting ball cylinder are obtained through non-contact three-dimensional scanning, key geometric features are extracted under a unified world coordinate system, and initial pose deviation is quantified; then, in the constructed digital twinborn model, a constrained particle swarm optimization control algorithm is adopted, coaxiality, parallelism and radial clearance uniformity are taken as multiple targets, and optimal six-degree-of-freedom pose control parameters are solved; then, the six-degree-of-freedom parallel platform is driven by a servo control system to execute accurate pose adjustment; and finally, residual pose deviation is obtained through verification scanning, and closed-loop feedback control correction is carried out until a preset tolerance threshold value is met. According to the invention, automatic control of the alignment process of the pipe cleaner is realized, and the problems of insufficient precision and poor adaptability caused by traditional open-loop control depending on preset parameters are fundamentally solved.

The invention provides an automobile audio mask curved surface defect detection system based on three-dimensional point cloud data analysis, and relates to the technical field of automobile part quality detection.The method comprises the steps that three-dimensional scanning is conducted on an automobile audio mask curved surface, space positioning marks on the curved surface are dynamically selected, and an ideal reference curved surface is constructed; calculating a space correction parameter based on the ideal reference curved surface, and carrying out real-time calibration on the current scanning data according to the space correction parameter to obtain an initial three-dimensional point cloud data set; and performing noise filtering processing on the initial three-dimensional point cloud data set, and extracting a clean three-dimensional point cloud data set representing the real morphology of the curved surface. According to the method, high-precision identification, quantitative description and automatic sorting of various defects such as concave, convex and warping of the curved surface of the automobile audio mask and abnormal hole edge can be realized.

The invention provides a high-temperature titanium alloy special-shaped ring forging preparation method and device based on a twin model, and is applied to the technical field of titanium alloy forming machining. The method comprises the following steps: constructing a three-dimensional digital twinborn model of the high-temperature titanium alloy bar according to collected three-dimensional scanning data and material characteristics of the high-temperature titanium alloy bar; acquiring real-time deformation data of the high-temperature titanium alloy bar subjected to forming processing treatment by ring forging forming equipment; updating model parameters of the three-dimensional digital twin model in real time according to the real-time deformation data; according to the model parameters, an equipment adjusting instruction is generated, and the equipment adjusting instruction is used for instructing the ring forging forming equipment to be adjusted according to equipment adjusting parameters; and the adjusted ring forge piece forming equipment is controlled to continue to conduct forming machining treatment on the high-temperature titanium alloy bar, and the target special-shaped ring forge piece is obtained. According to the method, manual participation is not needed, and the machining efficiency and the forming effect of the target special-shaped ring forge piece can be effectively improved.

The invention provides an ultrasonic probe sterile sleeve intelligent matching and image optimization method, which comprises the following steps: acquiring probe surface geometric data and examination part anatomical feature data through a three-dimensional scanning technology, generating a probe shape model and a part adaptation model, and obtaining probe shape adaptation parameters and examination part adaptation parameters; according to the shape adaptation parameters of the probe, adopting a finite element analysis method to simulate the fitting state of the sterile sleeve on the surface of the probe, calculating the fitting degree score of the sterile sleeve, and obtaining a fitting degree quantification result; a support vector machine algorithm is adopted, classification training is carried out on the multi-dimensional matching feature vectors, an intelligent recommendation model is generated, and sterile sleeve recommendation lists for different probes and examination parts are obtained; and if the fitness score of the matching feature vector is lower than a preset threshold value, optimizing geometric parameters of the sterile sleeve through a genetic algorithm, generating improved design parameters of the sterile sleeve, and obtaining an optimized matching precision result.

The invention discloses a denture three-dimensional model feature construction and matching method based on curvature adaptive sampling, which comprises the following steps: S1, acquiring denture surface point cloud data through three-dimensional scanning, converting the data into an STL model, and comparing a historical STL model pre-stored in a folder; s2, constructing a self-adaptive sampling weight, selecting a triangular patch through replacement random sampling, and generating a sampling point; s3, carrying out normalization processing on the sampling points; s4, calculating the distribution of D2 and A3 by using the normalized sampling points, and obtaining corresponding shape features; s5, splicing the features to form a joint geometric feature vector; and S6, performing S1-S5 on the to-be-matched false tooth to obtain a matching vector, performing S2-S5 on the historical models one by one to obtain comparison vectors, calculating cosine similarity between the matching vector and each comparison vector, and outputting a Top-K similarity model. According to the method, key geometric structure feature expression is enhanced, robustness to point cloud density change, local defects and the like is high, and matching is ensured to be reliable and consistent.

The invention discloses polishing equipment for large burrs on the surface of a casting, and the polishing equipment comprises a three-dimensional scanner which is arranged on one side of a polishing mechanism and is arranged in parallel with the polishing mechanism; the three-dimensional scanner is fixedly arranged on the visual angle deviation mechanism, the burr sensing mechanism is fixedly arranged on the side edge of the grinding mechanism, and the technical problem that when a common three-dimensional scanner faces large shielding burrs, due to the fact that the sight line is blocked, scanning data are lost is solved. The burr sensing mechanism is in physical contact with and detects the burrs, the linkage control mechanism directly and mechanically drives the visual angle deviation mechanism, automatic deflection of the visual angle of the three-dimensional scanner can be achieved when the visual angle of the three-dimensional scanner encounters the burrs, burr shielding is avoided, three-dimensional data of a shielded area can be more sufficiently obtained, and the three-dimensional scanning efficiency is improved. And a more reliable path planning basis is provided for subsequent grinding.

The invention provides a three-dimensional scanning wind measurement laser radar system for an offshore rocket platform, which comprises a three-dimensional scanning laser radar, a shipborne attitude compensation module, a data processing module and a protective cover, and is characterized in that the three-dimensional scanning laser radar is used for emitting laser pulses and receiving original detection signals which are scattered by aerosol and penetrate through the protective cover; correcting the direction of the scanning head according to the attitude compensation signal, and outputting scanning track correction data; the shipborne attitude compensation module monitors the attitude change of the platform and generates a compensation signal to counteract the shaking influence; after the data processing module preprocesses the original signal, atmosphere three-dimensional wind field data is calculated in combination with scanning track correction data; the protective cover isolates tail flame heat radiation, strong light and seawater erosion and is used for guaranteeing detection stability; based on an offshore rocket platform scene, platform shaking is offset through shipborne attitude compensation, tail flame and seawater interference is isolated through a protective cover, the atmospheric three-dimensional wind field is calculated in combination with data processing, and the high-precision wind measurement requirement in the marine environment can be effectively met.

The present disclosure relates to a mesh reconstruction method, a device and a storage medium. The mesh reconstruction method includes constructing a data structure according to three-dimensional scanning data and a preset mesh side length. Node information of a target tree node among a plurality of tree nodes included in the data structure is determined. A level of a mesh to be extracted of the target tree node is determined according to the target data. Once a scalar field of the target tree node is calculated according to the node information of a neighboring tree node corresponding to the target tree node and the node information of the target tree node, a reconstructed mesh model is obtained according to the scalar field.