65 results about "Reverse modeling" patented technology

The invention discloses an underground medium multi-scale forward and reverse modeling method and system based on a decoupling neural network, and belongs to the technical field of underground multi-physics field coupling. The underground medium multi-scale forward and reverse modeling method based on the decoupling neural network comprises the following steps: generating a spatio-temporal evolution data set of multiple physical field variables; a physical field decoupling physical information neural network architecture is constructed, the architecture comprises three special sub-networks, each sub-network takes time-space coordinates as basic input and dynamically receives output of other sub-networks as auxiliary input features, and strong coupling modeling between physical fields is realized through feature sharing and a joint loss function; executing a two-stage training strategy; and executing forward intelligent prediction or key physical property parameter inversion based on the trained neural network architecture. According to the method, a unified neural network framework composed of a plurality of special sub-networks is constructed, physical consistency and data-efficient cross-scale modeling from a rock core scale to a site scale are realized, and forward simulation and parameter inversion are synchronously supported.

The invention discloses a point cloud-based reverse modeling curved surface generation method and system, and relates to the field of electric digital data processing, and the method comprises the steps: obtaining three-dimensional point cloud data of a to-be-processed engineering design product, and projecting the three-dimensional point cloud data to a preset cutting plane to obtain a two-dimensional projection point set; and performing dimension reduction processing on each projection point, calculating a local geometrical relationship between the projection point and a neighborhood point, and mapping the local geometrical relationship to a one-dimensional parameter space to obtain a one-dimensional parameter value. Clustering analysis is conducted on the two-dimensional projection point set based on the one-dimensional parameter values, the two-dimensional projection point set is divided into a plurality of point cloud clusters, and each point cloud cluster corresponds to one geometric feature curve. And sorting the projection points in each point cloud cluster according to a spatial position relationship to obtain an ordered point sequence. And identifying the geometric feature type of each ordered point sequence, performing curve fitting, and extracting parameter information to obtain the feature parameters of the engineering design product. And generating an accurate curved surface model according to the characteristic parameters. By implementing the method, the accuracy of point cloud clustering can be improved.

The invention relates to a flat shell and an efficient printing method thereof, and belongs to the technical field of additive manufacturing. According to the invention, the axis of the flat shell is parallel to the substrate, and the support is arranged between the flat shell and the substrate; the substrate is divided into a region A and a region B; the area A is quadrilateral and is located in the center of the substrate, the side length of the area A is 55-65% of the side length of the substrate, and the area B is the remaining area obtained by subtracting the area A from the substrate; through analogue simulation, pre-printing and local reverse modeling, the deformation of the area A is controlled within + / -2mm; the deformation amount of the area B is controlled within + / -3 mm; the area A and the area B adopt different printing parameters, and the laser power and the scanning speed of the area A are both higher than those of the area B; and carrying out heat treatment to obtain the flat shell. And meanwhile, it is guaranteed that the deformation of the obtained flat shell is smaller than or equal to + / -0.5 mm, the tensile strength is 1000 MPa or above, and the yield strength is 800 MPa or above.

The invention provides a building point cloud high-precision automatic registration method based on multi-source sensor fusion, and relates to the field of data processing. According to the method, building point clouds are obtained through multi-source sensor fusion, a time sequence and coordinates are unified, noise and transient targets are removed through density distribution and an occlusion relation, a three-state point cloud label is generated, rough registration and global and local joint optimization are carried out in combination with semantic classification and a cross-scale semantic association graph, and a high-precision registration result is obtained. And on this basis, dynamic difference labeling is executed to generate a component life cycle map, a result is mapped to a building information model, reverse modeling data with life cycle attributes and an engineering application data set are output, and high-precision modeling and application of the whole construction process are achieved. By implementing the technical scheme provided by the invention, high-precision automatic registration of the multi-source point cloud data is facilitated, so that the data set which can directly serve building information modeling and engineering application is mapped.

The invention discloses a tailings pond water treatment dosage prediction method based on historical output reverse modeling, comprising: acquiring a historical data set, the historical data set comprising water outlet end water quality index data and an actual dosage, the water outlet end water quality index data comprising a plurality of water quality indexes, the plurality of water quality indexes at least comprising a wastewater flow, a water outlet end water quality forward prediction model based on the GRU neural network is constructed, the water outlet end water quality forward prediction model obtains a water outlet end water quality prediction value based on the historical data set as input, and a calculation function of the dosage adjustment amount is constructed based on the difference value between the water outlet end water quality prediction value and preset target water outlet end water quality index data; and taking the dosage adjustment amount meeting specific conditions in the calculation function as the final dosage adjustment amount, and determining that the dosage at the next sampling moment is the last dosage plus the final dosage adjustment amount. According to the invention, real-time or quasi-real-time dosage prediction is realized.

The invention discloses a reverse modeling method for an S parameter of a microwave power transistor based on a bidirectional long short-term memory neural network-long short-term memory neural network (BiLSTM-LSTM) technology, and the method comprises the five steps of data preparation, model design, hyper-parameter setting, model training and optimization, and model evaluation. According to the BiLSTM-LSTM modeling method, the core is that forward and backward and context features of data are extracted through a BiLSTM layer, time sequence dependence modeling is carried out in combination with an LSTM layer, and therefore the nonlinear mapping relation between performance parameters and S parameters of a microwave power transistor is fully excavated. According to the method, the spatial-temporal characteristics and relevance of data can be effectively captured, the precision and generalization ability of a transistor model are remarkably improved, and an efficient and accurate modeling method is provided for realizing high-performance and high-reliability circuit design.

The invention discloses a digital method for accurate duplication, transfer and verification of an in-place track, and belongs to the technical field of oral cavity restoration digitization. The method comprises the following steps: carrying out in-place path observation of a digital model in oral rehabilitation computer-aided design software, and generating an undercut filling model along the observation direction; constructing a parameterized three-dimensional feature model in reverse modeling software according to the undercut filling model; and automatically identifying the projection contour of the feature model through an algorithm, calculating the deviation angle between the current observation direction and the target in-position track, and guiding the model to observe and adjust. According to the invention, a track consistency verification system is constructed, accurate copying and transferring of the track direction are realized in a digital mode, the system can be adapted to dental restoration computer-aided design software with different function configurations, and a standardized and verifiable track digital transmission scheme is provided for clinical diagnosis and treatment of dental restoration.

The application provides a vehicle path tracking control method and device, electronic equipment and storage medium, comprising: according to the control input type accepted by the vehicle execution mechanism, the reverse modeling of the vehicle lateral movement process under manual operation is carried out, and the control model of the vehicle path tracking is obtained; the current state information and the expected state information of the target vehicle are determined; the current state information and the expected state information are input into the control model, the output parameters of the control model are obtained, and the output parameters are used as the control input of the vehicle execution mechanism to control the path tracking of the target vehicle. In this way, by reverse modeling the vehicle lateral movement process under manual operation, a control model including at least three series control loops is established, so that the control model is more detailed and conforms to the vehicle movement characteristics, which is helpful for the setting of model parameters, and further improves the performance of path tracking control.

The invention discloses a large-curvature blade design optimization method based on rebound reversible deformation calculation, and relates to the technical field of stamping processing, and the method comprises the following steps: carrying out three-dimensional scanning and reverse modeling on a large-distortion stamping blade sample to obtain actual stamping rebound data, and carrying out statistical analysis on the actual stamping rebound data; on the basis of actual production data, a blade reversible deformation design rule and an empirical formula are obtained, a blade design parameter correction value is calculated, automatic blade modeling is achieved through three-dimensional modeling software, and the blanking, stamping and springback processes are simulated in combination with finite element simulation software; and in combination with process automation optimization software, the plate size for blade stamping is obtained through calculation, and the stamping process is optimized. According to the method, blade reversible deformation design data and a stamping optimization process are obtained through process automation software, a stamping displacement, stress and strain cloud picture and a springback displacement cloud picture can be generated, the blade stamping plate size can be obtained, design reference and guidance are provided for accurate stamping forming of the blade, and the production efficiency is improved.

The invention provides an automatic reverse modeling straight pipe method and system based on point cloud. Relates to the technical field of three-dimensional reconstruction and reverse engineering, and comprises a point cloud preprocessing device, the point cloud preprocessing device preprocesses original scene point cloud from multiple stations and multiple sources, and the point cloud preprocessing device forms regular point cloud data through preprocessing; the preprocessing comprises region-of-interest cutting, non-target region point elimination and point cloud data optimization. According to the automatic reverse modeling straight pipe method and system based on the point cloud, regular point cloud data is formed by preprocessing original scene point cloud from multiple stations and multiple sources and through the steps of region-of-interest cutting, non-target region point elimination, point cloud data optimization and the like. A scale adaptive optimization algorithm is adopted to analyze point cloud data, segmentation processing and geometric segmentation are carried out, an accurate data basis is provided for subsequent cylinder fitting, and the modeling precision and efficiency are improved.

The invention relates to a modeling method, in particular to a three-mode digital twinborn AI management and control system reverse modeling method for an oil field station. The method comprises the following steps: 1, carrying out full-area scanning work on a station by using laser scanning equipment to collect spatial data in an area range; 2, generating station laser point cloud data based on the space scanning data; 3, importing the point cloud data into 3dsMax, and modeling according to a space picture presented by the point cloud data; 4, repeatedly checking the established model with an actual object, and carrying out local modification and adjustment; 5, data of different measurement and control systems and industrial control systems of different models in the operation room are unified to one data management server; and 6, the established model is put into a development engine, so that the real-time production data is accurately displayed on the corresponding production device, and the display is visual and accurate. Healthy and stable operation of the whole station can be guaranteed, and the rough estimation retrograde motion modeling method can prolong the whole service life of the station by 5-10 years.

This application relates to the field of medical simulation model manufacturing technology, specifically to a method for fabricating a fourth-level bronchus model, comprising: S1. Reverse modeling based on CT scan data of healthy human bronchi, and using Lasty-R liquid material to 3D print a lost foam of the fourth-level bronchus; S2. Applying a layered coating of platinum silicone to the surface of the lost foam and simulating the histological features of the bronchus to obtain a bronchus blank coated with a silicone layer; S3. Placing the bronchus blank in a heating environment of ≥100℃ to soften and break the internal lost foam into fragments; S4. Adding a lubricant into the cavity of the bronchus blank, removing the lost foam fragments, and obtaining a hollow fourth-level bronchus model. This method simplifies the fabrication process of the fourth-level bronchus model, shortens the cycle time, and reduces costs. The model has high simulation accuracy and strong reusability, meeting the needs of clinical training and medical teaching in multiple scenarios.

The invention discloses a BIM + AR-based digital integrated construction method for ocean platform reconstruction, and the method comprises the following steps: S1, investigating an operation environment, and carrying out the three-dimensional scanning operation of a platform construction region through a three-dimensional laser scanning instrument according to a field actual environment; s2, the scanned point cloud data is processed, and reverse modeling is carried out; s3, performing model check analysis, data matching and collision analysis; s4, the collision analysis is evaluated, and if no collision exists, digital integrated prefabrication processing design is carried out, and the land prefabrication proportion is increased; s5, automatic prefabrication construction is carried out; s6, installation and connection are carried out; s7, the digital technology is debugged, and debugging work is carried out; and S8, digital delivery is carried out, and project completion is realized. According to the digitized integrated construction method for ocean platform reconstruction based on BIM + AR provided by the invention, the land prefabrication rate and the construction efficiency are improved, and the cost is saved.

The invention provides a self-adaptive laser hybrid welding method based on point cloud, which comprises the following steps of: 1, scanning a workpiece by using a plurality of laser radars to obtain point cloud data; 2, processing the point cloud data obtained by scanning, and carrying out reverse modeling to obtain a point cloud model; 3, position extraction and type marking are conducted on different welding seams through a self-adaptive welding seam extraction algorithm, and linear welding seams, arc welding seams and cross welding seams can be recognized; 4, a locating sequence is automatically planned according to the coordinate numerical value of the welding seam, and the locating sequence is sent to the robot; and step 5, accurately positioning a welding seam by using professional vision equipment through a self-adaptive positioning algorithm, and completing welding by matching with an autonomous welding process library.

This invention relates to the field of agricultural machinery dynamics analysis technology, specifically to a real-time inversion method for dynamic loads in a tractor transmission system based on reverse modeling and intelligent algorithms. The method includes the following steps: S1: Constructing a multi-degree-of-freedom dynamic model of the tractor during plowing operations; S2: Real-time measurement of external excitations during tractor operation; S3: Performing reverse mathematical derivation to establish a reverse inversion model; S4: Inputting the external excitations collected in real-time in S2 into the reverse inversion model in S3, and using a genetic algorithm to rapidly iterate and optimize the model's solution process, directly outputting the converged real-time inversion values ​​of the internal dynamic loads. This invention, by integrating multi-degree-of-freedom dynamic modeling and optimization algorithms, achieves real-time and accurate inversion of the internal dynamic loads of the tractor transmission system, effectively improving the system's state perception and load deduction capabilities under complex tillage conditions.

The invention discloses a shot peening forming method and device based on reverse modeling and a medium. Acquiring a target wing arm plate part to be subjected to shot peening forming, an original shot peening molded surface and a target shot peening molded surface in real time; according to the original shot peening molded surface and the target shot peening molded surface, analysis is conducted through a shot peening forming track analysis method, and a current shot peening track path section and current wing arm plate part rib stringer intersection point distance data are obtained; analyzing and processing through a shot peening forming reverse modeling method to generate a current reverse modeling virtual forming molded surface; and according to the target shot peening molded surface and the current reverse modeling virtual forming molded surface, whether shot peening forming conditions are met or not is judged, and whether shot peening forming operation of the target wing arm plate part is completed or not is determined. The problems that the shot peening effect is poor due to the fact that the shot peening condition of the middle process cannot be determined in the shot peening process of large aircraft parts, and the workload is large due to manual analysis of the middle process are solved, and the shot peening forming accuracy and the analysis efficiency of the middle process are improved.

The invention relates to the technical field of reverse modeling, and particularly discloses a non-standard rotary body structural member modeling method based on laser scanning point clouds, which comprises the following steps: S1, clamping a workpiece on a positioner; the 3D camera is clamped on a mechanical arm and calibrated; s2, calibrating a camera and a positioner at a photographing teaching position; s3, scanning the workpiece, and collecting point cloud data of a corresponding surface area; s4, sequentially rotating the position changing machine according to the set angle and the surface continuity; sequentially collecting point cloud data of the corresponding surface areas; s5, performing alignment and registration processing on two adjacent groups of point cloud data collected in sequence; s6, performing de-weighting optimization processing and fitting on the aligned and registered point cloud data; and S7, obtaining a complete point cloud of the workpiece, and completing modeling. The method is designed aiming at the particularity of the reverse modeling technology and the non-standard rotary body structural part, and the high-precision splicing modeling technology requirement of the non-standard rotary body structural part can be effectively met.

The invention discloses an intelligent building structure construction method based on point cloud data and digital twinning, and the method comprises the steps: obtaining a building point cloud through three-dimensional laser scanning, carrying out the high-precision registration and preprocessing, carrying out the component feature extraction and parameterized reverse modeling through an RANSAC algorithm, and generating a high-fidelity BIM model; then, the model is deeply fused with GIS, finite element and Internet of Things data under a unified space-time reference, and a dynamically updated digital twinning scene is constructed. Finally, a virtual simulation platform is developed based on the scene, and real-time simulation, visualization and intelligent decision support of the construction progress and mechanical response are achieved. According to the method, the problems of insufficient precision and difficulty in multi-source data fusion of a traditional modeling method are solved, accurate mapping and interaction of a building structure from a physical entity to a digital virtual body are realized, and the intelligent level and decision scientificity of a construction process are remarkably improved.

The invention discloses a method for applying intelligent tile arrangement based on the BIM technology, and relates to the technical field of tile arrangement, and the method is characterized in that the method comprises the following steps: 1, project data preparation: obtaining a building information model according to a project type, the project types comprise a new project and a reconstruction project, the new project establishes a full-professional BIM model through revit, and the reconstruction project acquires point cloud data through a three-dimensional laser scanner and pre-processes the point cloud data, and then establishes a BIM model through a reverse modeling tool. According to the brick paving method, point cloud data are accurately collected through a three-dimensional laser scanner, room data and space surface layer data in a model are extracted in combination with a BIM plug-in, and accurate control over the brick paving range is achieved. Meanwhile, a laying starting point is set by taking the boundary as a reference to lay the whole brick, so that the cutting loss can be effectively reduced; a three-dimensional brick arranging model generated on the basis guarantees visual continuity.

The application relates to the field of digital twinning technology, in particular to an air-conditioning machine room pipeline installation precision control method of point cloud data and a BIM model. The method comprises the following steps: scanning a to-be-constructed machine room by using a three-dimensional laser scanner to obtain original point cloud data; generating a real scene three-dimensional point cloud model after splicing and denoising treatment of the original point cloud data; performing space registration and interference matching on a preset forward BIM arrangement model and the real scene three-dimensional point cloud model; analyzing the geometric error of the BIM model and the actual site structure, and performing reverse correction on pipeline arrangement data in the BIM model; generating a factory prefabrication processing diagram and a site construction assembly diagram according to the corrected non-collision BIM model; collecting assembly space data of each pipe section in the site assembly process, and comparing and correcting the arrangement model to complete the site assembly. The application combines scanning point cloud and BIM reverse modeling, solves the pipeline collision problem caused by the civil engineering error, and improves the installation precision and prefabrication rate of the pipe network.

The application discloses a kind of elbow pipe data format YBC to XYZ conversion method, comprising: inserting data at YBC data set head end;Elbow pipe is divided into straight section and curved section, and is equivalent to mechanical arm structure;YBC data is converted into D-H parameter data;Data is handled based on mechanical arm connecting rod transformation matrix;Extract XYZ data.The method of the present application, based on the segmentation principle and local geometric characteristics of TRIZ theory, the straight section and curved section of elbow pipe are segmented, and are equivalent to the connecting rod and joint of mechanical arm;According to the geometric structure and processing principle of elbow pipe, the similarity and particularity of elbow pipe structure relative to mechanical arm structure are analyzed, and the conversion algorithm from elbow pipe processing data to D-H parameter data is designed;Based on the theory of mechanical arm connecting rod transformation, a conversion algorithm from YBC data format to XYZ data format is proposed.The method can be used in flexible assembly, elbow pipe reverse modeling and other application scenarios.

The present application belongs to the technical field of geological disaster monitoring, and specifically relates to a comprehensive monitoring and forecasting method for geological disasters based on dual-satellite fusion, comprising the following steps: developing Beidou reference stations, monitoring stations and high-precision board cards to obtain coordinate change data of monitoring points; building a "point-line-surface" three-dimensional monitoring network through a BDS / GNSS multiple monitoring point and reference station networking, fusing Beidou high-precision positioning data and multi-source data and obtaining monitoring point displacement data; quantitatively and finely forecasting short-term and nearby heavy rain through an intelligent grid product, and using a reverse modeling sample to train and optimize a model of a heavy rain radar evolution process; constructing a multi-dimensional feature vector matrix, extracting important and key features in a multi-factor influence factor dataset, and on this basis, establishing a comprehensive monitoring and forecasting model of a long short-term memory artificial neural network. The present application can improve the accuracy and timeliness of geological disaster early warning under the complex geological environment of Guangxi-ASEAN, and has a good market application prospect.

The present invention provides a point cloud-based adaptive laser hybrid welding method, comprising the following steps: step 1: using a plurality of laser radars to scan a workpiece so as to obtain point cloud data; step 2: processing the point cloud data obtained by scanning, and performing reverse modeling to obtain a point cloud model; step 3: performing position extraction and type annotation on different weld seams by means of an adaptive weld seam extraction algorithm, such that straight weld seams, arc weld seams, and cross weld seams can be identified; step 4: automatically planning a finding sequence on the basis of coordinate values of the weld seams, and sending the finding sequence to a robot; and step 5: by means of an adaptive finding algorithm, using a professional vision device to accurately position the weld seams, and by incorporating an autonomous welding process library, completing welding.

This invention discloses a method and system for reverse modeling conductors in fully outdoor substations, relating to the field of data processing technology. The method includes: reading conductor distribution design data of the target outdoor substation; analyzing the conductor morphology variation range under the influence of the external environment and constructing curve fitting constraints; performing virtual overlap avoidance analysis of conductors in the same scanning direction and planning the scanning path; scanning multiple conductor segments to obtain a point cloud scanning dataset; optimizing the fitting of multiple conductor segments in the point cloud scanning dataset to generate multiple actual fitted conductor segments; and performing three-dimensional reconstruction of the conductors of the target outdoor substation using the multiple actual fitted conductor segments. This solves the technical problem in existing technologies where conductor morphology is greatly affected by the external environment in a fully outdoor substation environment, leading to low accuracy and efficiency in reverse modeling. It achieves the technical effect of improving the accuracy and efficiency of conductor reverse modeling and realizing high-precision three-dimensional reconstruction of conductors.

The application discloses a deep-water revetment unit row construction error reverse modeling correction method and device, and relates to the field of data processing. Water profile data of a target construction area where a deep-water revetment unit row is located is acquired; a hydrological state tensor is constructed according to the water profile data; the hydrological state tensor is input into a prediction correction model, and a layered water resistance field and a non-uniform sinking path dynamic response equation of the unit row body are constructed; based on the layered water resistance field and the non-uniform sinking path dynamic response equation, a prediction result is determined; a posture response vector flow of the unit row body after entering water is acquired through a sensor device; the posture response vector flow and the prediction result are dynamically matched, and a paving path correction value and a pitch attitude adjustment suggestion amount are output; and based on the paving path correction value and the pitch attitude adjustment suggestion amount, the posture and the sinking path of the unit row body are dynamically corrected. The application facilitates improving the accuracy of deep-water revetment unit row construction operation in a complex hydrological scene.

The application relates to the technical field of ancient building repair and structure protection, and discloses a metal printing wood column reinforcing component analysis system based on three-dimensional scanning modeling. First, internal damage and surface point cloud data of a wood component are acquired by nondestructive testing and three-dimensional scanning; second, a split type digital model which is attached to the surface of the wood component and leaves a normal gap is constructed through reverse modeling; then, segmented printing of the component is carried out by using a metal additive manufacturing technology, and special positioning clamps are used to assist in splicing and welding, and a carbon fiber layer and an elastic protection layer are simultaneously used on the inner wall; finally, pre-tightening force is applied through mechanical connection on site, and reinforcement is realized by using interface friction. The application solves the manufacturing precision problem of special-shaped thin-walled components, and realizes high-attaching-degree, nondestructive and reversible reinforcement of the ancient building wood component without damaging the relics.

The present application relates to the technical field of intelligent terminal data line power supply control, in particular to an intelligent terminal data line voltage dynamic regulation control system. The method comprises collecting running state parameters of the data line in the working process, processing the collected data to form effective physical quantity data reflecting the working characteristics of the data line; based on the effective physical quantity data, reverse modeling of the data line manufacturing characteristics is performed to obtain characteristic parameters representing individual differences of the data line; based on the characteristic parameters, a high-frequency loss characteristic model is constructed to obtain individualized coupling impedance data of the data line under the current working state, and the system output voltage is dynamically regulated in combination with the running state parameters to compensate for the data line loss voltage drop and improve the load end power supply stability; the present application adapts to the performance changes of the data line in the use process through the parameter iterative calibration mechanism, and triggers the corresponding protection strategy when detecting abnormal state to ensure the system operation safety and regulation accuracy.

The invention relates to a wire harness three-dimensional wiring method and device, electronic equipment and a storage medium. The method comprises the following steps: in preset three-dimensional software, carrying out model design on an electrical combination of wiring harness wiring to generate an electrical combination model; based on the electrical combination model, carrying out wire harness three-dimensional wiring modeling, and generating key parameters for wire harness manufacturing; performing tool reverse modeling design according to the key parameters of wire harness manufacturing, and generating a tool model; and based on a preset processing mode, according to the tool model, processing and generating a physical tool, and based on the physical tool, completing three-dimensional wiring of the wire harness between the electrical combination rooms. According to the three-dimensional wiring and tool reverse design method for the electrical combined wire harness, the wire harness path, the branch points and the fixed points in the three-dimensional design are accurately reproduced, it is ensured that the wire harness finished product is highly consistent with the design model, and assembly errors are avoided; the manufacturing process of a traditional complex three-dimensional tool is simplified, and the cost pressure of small-batch and multi-variety customized production is reduced.

The invention discloses an agricultural axial flow fan blade optimization method and device, equipment, a medium and a product, and relates to the field of mechanical application equipment. Modeling by using a three-dimensional scanning and reverse modeling method to obtain a flow field setting model and an acoustic propagation model corresponding to the blade entity; then verifying the model; key parameters are extracted on the basis of the owl wings, the verified numerical model is subjected to assignment according to the geometric similarity criterion, and the key parameter range of fan blade optimization is determined; numerical simulation is carried out based on the numerical model corresponding to the fan blade optimization structure parameters, and an optimal fan blade trailing edge parameter combination is obtained; the optimal trailing edge parameter combination comprises the optimal sawtooth height, the optimal sawtooth width and the optimal sawtooth proportion. The aerodynamic characteristics of the trailing edge are remarkably improved, and therefore the overall noise level is lowered.

The invention provides a digital twin model performance mapping method and system based on point cloud and displacement perception, and relates to the technical field of structural engineering digitization and health monitoring, and the method comprises the steps: obtaining three-dimensional point cloud data of an in-service device, generating a high-precision solid mesh model through reverse modeling, and importing the high-precision solid mesh model into finite element software to construct a digital twinborn model; synchronously acquiring local deformation images through a consumer-level camera, and extracting and filtering through a DIC algorithm to obtain a displacement field; and taking the displacement field as a load to drive a digital twin model for simulation, further extracting performance indexes such as stress, strain and energy dissipation for visualization, and triggering a risk alarm based on a threshold value. According to the invention, end-to-end closed loop from physical monitoring to digital simulation is realized, the technical problem that the in-service energy consumption device is difficult to carry out high-fidelity geometric reduction, real-time deformation driving and online performance early warning is solved, and an efficient and accurate tool is provided for structural health monitoring and intelligent operation and maintenance.