966 results about "Mesh model" patented technology

The invention relates to the technical field of quality monitoring, and discloses a diamond high-strength micro-powder quality detection method and system based on artificial intelligence. The method comprises the steps of obtaining a two-dimensional projection image sequence of diamond micro-powder particles, calculating a projection matrix based on camera calibration parameters and geometric constraints, obtaining a multi-view image data set of the particles, establishing a pixel-level corresponding relation, extracting three-dimensional space coordinates of the surfaces of the particles, and reconstructing dense point cloud data of the particles. Establishing a local coordinate system based on the dense point cloud data, determining attitude parameters of particles in a three-dimensional space, if the attitude parameters deviate from a normal range, performing attitude compensation processing to obtain standardized point cloud data, and performing three-dimensional grid model construction on the standardized point cloud data; and calculating geometrical characteristic parameters of the particles based on the three-dimensional grid model, performing defect detection on the surfaces of the particles, and generating a crystal integrity evaluation report of the particles. The quality detection accuracy of the diamond high-strength micro-powder particles is improved.

The invention relates to the technical field of computer-aided manufacturing, and provides a staged processing real-time cutting simulation method and system.The method comprises the steps that S1, initialization modeling is conducted, specifically, a blank voxel grid model, a tool body voxel grid and a triangular grid are built; s2, performing a first simulation stage of low-precision real-time cutting dominated by voxel grids, judging a space overlapping relationship between the tool body voxel grids and the blank voxel grids in real time so as to determine a voxel region to be removed, and deleting blank voxels in the overlapping region through Boolean operation; s3, in the execution process of the first simulation stage, monitoring a preset multi-dimensional switching trigger condition in real time, and when any condition or a combination of multiple conditions is met, entering a second simulation stage; and S4, a second simulation stage of high-precision real-time cutting with the triangular network as the dominant is carried out, the voxel grid intermediate workpiece is converted into a transition triangular grid, and high-precision cutting calculation is carried out based on the triangular grid. And the efficiency-precision contradiction is broken through through a staged strategy.

The invention discloses a high-temperature environment multimodal transport method and system based on composite heat insulation and active temperature control. The method comprises the steps that a multimodal transport capacity grid model simulating high-temperature transport cooperation is constructed; determining model condition hypothesis, and defining decision variables, parameters and state variables of the model; high-temperature special items and safety penalty are included in the total cost, a high-temperature associated total cost model is constructed, and a multi-scene cost calculation formula is deduced; with the purpose of minimizing the total cost, a mixed integer programming model including path connection and flow conservation, temperature constraint, refrigeration / heat dissipation energy and power constraint, node refrigeration / sunshade capacity constraint, battery and key component temperature safety constraint, butt joint / node capacity constraint and time window constraint is constructed; solving the model by adopting an improved hybrid immunity-particle swarm dual-optimization algorithm, and outputting an optimal transportation path, transportation mode, transfer node and high-temperature scene exclusive scheduling parameter; and collaborative optimization of high-temperature transportation safety, energy efficiency and economy can be realized.

The invention relates to the technical field of industrial internet of things operation and maintenance, and particularly provides a remote maintenance auxiliary method integrating video monitoring and three-dimensional modeling. The method comprises the following steps: acquiring engineering graphic data and point cloud scanning data of maintenance equipment, and collecting video stream data of a maintenance equipment site; the video stream data is used for describing the operation state of maintenance equipment; the video stream data comprises a plurality of video frames; matching the point cloud scanning data with the engineering graphic data, and constructing a watertight three-dimensional grid model according to a matching result; mapping texture features of the maintenance equipment in a target video frame to the surface of the watertight three-dimensional grid model to obtain a target three-dimensional model; and receiving a first maintenance instruction marked in the target three-dimensional model by a remote expert, and sending the first maintenance instruction to a video picture of a client of an on-site maintainer. According to the technical scheme provided by the invention, the time consumption for positioning the overhaul part can be reduced.

The embodiment of the invention discloses a three-dimensional landform model reconstruction method and device based on geometry and texture combination. A specific embodiment of the method comprises the following steps: carrying out self-adaptive grid division on a landform three-dimensional point cloud and then carrying out geometric super-resolution to obtain a target three-dimensional landform sub-grid; performing color texture mapping and texture correction enhancement on the target three-dimensional landform sub-grids to obtain an enhanced landform texture map; performing collaborative bidirectional optimization on the enhanced landform texture map and the target three-dimensional landform sub-grids to obtain a super-resolution landform texture map and a super-resolution three-dimensional landform sub-grid; performing model recombination and fusion on the plurality of super-resolution landform texture maps and the plurality of super-resolution three-dimensional landform sub-grids to obtain a three-dimensional texture landform grid model; and performing density control reconstruction processing on the three-dimensional texture landform grid model to obtain a three-dimensional density texture landform model, and storing the three-dimensional density texture landform model. According to the embodiment, the quality of the three-dimensional density texture landform model can be improved, and waste of storage resources is reduced.

The invention discloses a coal mine goaf fire monitoring method and system based on multi-source data fusion, and relates to the technical field of coal mine goaf fire monitoring, and the method comprises the steps: collecting the concentration, concentration and air pressure of each wireless sensing node in a coal mine goaf in real time; according to the concentration of each node, a dual-parameter dynamic coupling gradient field traceability algorithm of fusion / gas expansion and chemical reaction mechanism is adopted to calculate a fire source coordinate; performing anomaly detection according to the concentration of each node, and positioning an air leakage point by adopting a three-dimensional oxygen concentration gradient field positioning algorithm and combining air pressure compensation for an oxygen concentration anomaly point; based on goaf point cloud data, a goaf three-dimensional grid model is constructed, and a fire source spreading path, an air leakage channel and gas concentration distribution are dynamically and visually displayed in combination with multi-source monitoring data and fire source and air leakage point positioning results. The goaf fire prevention and control system can achieve all-around prevention and control of goaf fire.

The invention discloses a medicine package online detection system based on three-dimensional reconstruction, and relates to the technical field of three-dimensional reconstruction, the system is matched with a binocular industrial camera through a numerical control rotary table to collect a double-view group covering the whole surface of a medicine package and containing an overlapping surface; carrying out feature point registration by adopting a polarization fusion SIFT algorithm, and positioning a packaging area through a model fusing packaging topology priori and edge gradient constraint; generating a disparity map based on a semi-global block matching algorithm, and combining camera calibration parameters with a rotary table rotation angle for splicing to obtain a complete packaging point cloud; a three-dimensional grid model is generated through Poisson curved surface reconstruction, accurate detection of surface concave-convex defects is achieved through curvature sudden change analysis and a tolerance threshold comparison method, and finally a defect information set is output and linked with a sorting mechanism to complete qualification judgment. The system can carry out full-surface and high-precision detection on medicine packages, is suitable for multi-specification packages, and meets the quality control requirements of industrial production.

The invention discloses a smart city planning three-dimensional scene reconstruction optimization system combined with semantic segmentation, and belongs to the technical field of three-dimensional scene reconstruction optimization. The system comprises a data sensing module which collects aerial images and laser point clouds, and complements a sheltered area to obtain city modeling data; the preprocessing module performs denoising, data registration and data fusion on the city modeling data to generate texture point cloud data; the semantic understanding module realizes multi-modal semantic segmentation of the texture point cloud data through a fine-tuned SAM network and an improved RandLA-Net, and semantic tag data is obtained through restoration and optimization; the reconstruction optimization module constructs an initial three-dimensional grid model based on the texture point cloud data, and optimizes a ground feature boundary and a missing region of the model in combination with a semantic tag; and the output application module converts the optimized model into a standard format and outputs the model. Through deep coupling of semantic segmentation and reconstruction optimization, the precision of the three-dimensional scene model is improved, and reliable support is provided for smart city planning.

The embodiment of the invention provides an aircraft skin damage identification method and device, equipment, a storage medium and a product. The method comprises the following steps: acquiring an initial point cloud of an aircraft skin surface through structured light equipment, and performing data preprocessing on the initial point cloud to obtain a preliminary correction point cloud; calculating reflection intensity distribution of each area on the surface of the aircraft skin based on the preliminary correction point cloud, and determining a compensated point cloud; extracting geometric features from the compensated point cloud, and performing denoising processing on the compensated point cloud to obtain a denoised point cloud; constructing a three-dimensional grid model representing a three-dimensional structure of the aircraft skin surface based on the de-noised point cloud, and determining a damage candidate area of the aircraft skin surface; obtaining a point cloud subset associated with the damage candidate area and carrying out damage type classification on the point cloud subset to obtain a classification result of damage types; according to a classification result, generating a damage labeling graph; and based on the damage marking graph, calibrating the damage size parameter to generate a final damage report.

The invention relates to the field of biological modeling, and discloses a shoulder joint stress simulation method and system based on a three-dimensional finite element. The method comprises the following steps: acquiring three-dimensional geometric data of a shoulder joint through scanning equipment, and generating an initial grid model; dividing the preliminary calculation grid to determine an initial stress value, simulating stress transfer distribution, and generating a preliminary stress distribution field; calculating the stress gradient change rate of each grid unit and performing local subdivision to generate a stress gradient change rate distribution diagram; performing density subdivision on the grid units exceeding the change threshold to generate a refined grid model; the calculation grid is divided again, the stress value of each grid unit is calculated, and an updated stress field is generated; calculating a difference vector, judging whether the difference vector meets a convergence condition or not, and obtaining a convergence judgment result; and if not, iteratively subdividing the local grid to generate a final stress distribution field. Through adaptive grid subdivision and iterative convergence optimization, the problem of insufficient simulation precision is solved, and the accuracy is improved.

The invention discloses a plate structure damage real-time detection method and device based on a physical information space-time diagram neural network in the technical field of structure health monitoring, and the method comprises the steps: building a three-dimensional plate structure physical grid model based on the obtained size information and material attributes of a to-be-detected plate structure; based on a predetermined sensor arrangement range, generating a sensor and excitation source position layout in the plate structure physical grid model; based on the position layout of the sensors and the excitation sources, corresponding sensors and excitation sources are arranged on the to-be-detected plate structure; the method comprises the following steps: collecting a feedback signal received by a sensor after a pulse signal is transmitted to a to-be-detected plate structure through an excitation source, sending the feedback signal to a pre-trained neural network model based on a physical information space-time diagram, and generating a position, an area, a long axis length, a short axis length, a direction angle and a severity index of each damage. According to the invention, low-cost and high-robustness structure health monitoring is realized.

The invention relates to the technical field of data processing, and provides a BIM model continuous grid bottom surface extraction method, device and equipment and a storage medium, according to the scheme of the invention, grid bottom surface extraction is carried out based on a user-defined data structure after BIM model triangularization, the influence of a professional design software production environment and a multi-source heterogeneous storage format is eliminated, and universality is achieved; according to the method, the cleaned and corrected triangularized grid model is subjected to space division and an elevation extraction algorithm, so that the grid bottom surface extraction efficiency is greatly improved; according to the method, curved surface reconstruction is carried out according to the spatial point cloud normal set and the point cloud data set, so that the construction accuracy of grid bottom surface extraction in the projection direction is ensured, a finer and more continuous geometric expression is provided, and the problem of model bottom surface image missing is solved.

The invention provides a three-dimensional shape generation method, which comprises the following steps of: extracting condition characteristics of a two-dimensional image by using an image encoder; sampling an initial noise vector from the standard normal distribution based on the condition features; under the guidance of the condition features, the trained generative model generates potential representation based on the initial noise vector; a decoder of the trained 3D VAE model reconstructs a continuous field function according to the potential representation; and extracting a three-dimensional triangular mesh model from the continuous field function. The smoothness of the generated surface and the integrity of the three-dimensional structure can be realized by the 3D VAE model, so that the aims of eliminating stepped artifacts and broken thin shells are fulfilled.

The invention discloses a three-dimensional dynamic safety management and control method and system for power transmission and transformation hoisting operation, and relates to the technical field of construction safety, and the method comprises the steps: obtaining point cloud data of a target operation area through ground three-dimensional laser scanning; according to the point cloud data, a three-dimensional grid model is constructed through an oblique photography technology and a Beidou real-time dynamic carrier phase difference technology, and a semantic electronic fence is generated; according to a pure vision technology, through target detection, three-dimensional reconstruction and time sequence tracking, a hanging object 4D digital branch is constructed, and a hanging object prediction track is obtained; the shortest three-dimensional distance is calculated through an efficient collision detection algorithm according to the hanging object prediction track and the semantic electronic fence, multi-dimensional risk assessment is carried out, and graded early warning signals are generated; and carrying out comprehensive alarm prompting according to the graded early warning signal. According to the invention, a traditional passive protection mode depending on single threshold alarm is changed, and quantitative evaluation and predictive management and control of dynamic risks are realized.

The present invention relates to the technical field of steel metallurgy process simulation, and specifically relates to a simulation method for particle motion and interaction behavior within a continuous casting mold. The simulation method comprises the following steps: acquiring mold parameters and establishing a model; performing fluid domain volume extraction and structured mesh division on the model; importing the mesh model into simulation software and performing iterative solution; establishing injection points for argon bubbles and inclusions within the mold, compiling and calculating the flotation removal of argon bubbles and inclusions at a steel-slag interface, the capture thereof at a solidification front, and collision-aggregation, and performing coupled computation; and post-processing the simulation results to obtain the flow field, temperature field, solidified-shell distribution, and discrete-phase motion behavior within the mold at different time points. The method of the present invention enables analysis of the motion and interactions of discrete-phase particles such as argon bubbles and inclusions within the mold, thereby accurately predicting the distribution of the particles in the molten steel and the solidified shell.

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 belongs to the field of digital twinning simulation, and relates to a digital twinning method and system for a cross-country test field, and the method comprises the steps: collecting multi-source heterogeneous point cloud data and image data of the cross-country test field, and generating a three-dimensional grid model according to the collected data; extracting a ground point set of the multi-source heterogeneous point cloud data by using a ground point iterative segmentation method based on dynamic threshold adjustment; generating a road center line and a geometric parameter evaluation result thereof according to the extracted ground point set; modeling the road center line according to the geometric parameter evaluation result by using an elevation modeling method based on multi-scale interpolation and error compensation to obtain a road surface elevation model; based on the three-dimensional grid model and the road surface elevation model, realizing synchronization of the virtual vehicle and the real vehicle; according to the method, the candidate ground points are extracted through the dynamic threshold value, the number of iterations and the sampling strategy are adjusted according to the candidate ground points, the accuracy and processing efficiency of surface point extraction are improved, and therefore the accuracy and efficiency of road surface elevation model modeling are improved.

The invention relates to a three-dimensional grid model processing method, computer equipment, a readable storage medium and a program product. The method comprises the steps of performing voxelization on a three-dimensional grid model of a target object to obtain a plurality of voxels corresponding to the target object in a preset reference space; determining the visibility value of the voxel according to the projection information of the voxel under the preset camera visual angle; determining a position relation label of the voxel relative to a reference point according to a communication relation between the voxel and the reference point in a preset reference space; screening out a target voxel from the voxels according to the visibility values and the position relation labels of the voxels; and determining model characterization parameters of the three-dimensional grid model according to the spatial information of the target voxel in the three-dimensional grid model. By adopting the method, the generation precision of the three-dimensional model can be improved.

The invention discloses a multi-nozzle collaborative printing method, and particularly relates to the technical field of printing path planning. According to the method, a three-dimensional space mesh model is constructed by collecting structural feature information of a target printing area; calculating collaborative coverage parameters of the sub-regions according to the space coverage capability and the region curvature characteristics of the nozzle; constructing a priority map based on nozzle performance and task suitability, and performing task matching by adopting a minimum cross entropy objective function to generate an initial path allocation scheme; constructing a jet printing path conflict graph, extracting conflict feature points, performing local path reconstruction by using a graph convolutional neural network, and generating an optimized jet printing path; and finally, the multiple nozzles are driven to cooperatively execute a jet printing task through time synchronization and instruction scheduling. According to the invention, the conflict rate and waiting time of the nozzles can be obviously reduced, the path planning efficiency and the jet printing precision are improved, and the method has good engineering applicability.

The invention discloses an unmanned aerial vehicle high-altitude cleaning path precise planning method and system based on visual navigation, and the method comprises the following steps: constructing an initial three-dimensional grid model of a to-be-cleaned building, dividing cleaning regions according to the initial three-dimensional grid model, and setting priorities; the unmanned aerial vehicle collects visual data of a cleaning area through a multi-mode visual sensor, wherein the visual data comprise surface texture, depth information and a stain distribution thermodynamic diagram; performing local correction on the initial three-dimensional grid model based on the real-time visual data to generate a high-precision dynamic three-dimensional grid model; generating a cleaning path by adopting an adaptive grid traversal algorithm according to the priority of the cleaning area and the coverage range of the unmanned aerial vehicle cleaning head; obstacles in the path are detected in real time through a visual feature matching algorithm, and when the obstacles are detected, path re-planning is carried out to avoid the obstacles until all the areas are cleaned. According to the method, the modeling precision and the dynamic adaptability are improved, and the intelligence and the pertinence of path planning are realized.

The invention relates to the technical field of building disease detection, in particular to an urban building disease detection method and device, electronic equipment and a storage medium. Multi-modal image data formed by original visible light and thermal infrared image data is obtained, and an original thermal infrared image is subjected to geometric correction; calculating a mapping relation with an original visible light image so as to complete pixel-level registration, obtaining target multi-modal image data, inputting the target multi-modal image data into a hierarchical deep learning recognition model, recognizing building disease information, then performing three-dimensional space mapping, generating a building three-dimensional mesh model containing disease three-dimensional space setting coordinates, and finally performing three-dimensional mesh modeling. And then calculating a relationship between a model surface grid vertex and a disease point cloud density, generating a disease distribution thermodynamic diagram, analyzing disease aggregation characteristics in multiple dimensions according to the thermodynamic diagram, and quantitatively analyzing spatial correlation between the disease and a building construction node in combination with building component information. According to the invention, the urban building disease detection efficiency and precision are improved.

The invention discloses a lightweight method and system for a highway engineering three-dimensional live-action model and a medium, and relates to the technical field of three-dimensional live-action modeling. The method comprises the following steps: firstly, carrying out engineering semantic segmentation on an input three-dimensional grid model, and extracting design parameters in a BIM / GIS (Basic Information Model / Geographic Information System); then, constructing a multi-level constraint model fusing semantic constraints, engineering precision constraints and design parameter constraints; and finally, carrying out iterative simplification under the guidance and limitation of the multi-level constraint model by adopting an improved quadratic error measurement algorithm. The method solves the problems of semantic information loss, out-of-control local precision and disjunction with design intention when a traditional pure geometric simplification method is applied to highway engineering, and can intelligently reserve key engineering characteristics, control geometric errors and fit a design form while ensuring that the data size of the model is greatly reduced. And a high-quality lightweight model suitable for professional analysis and application is generated.

The invention relates to an ocean platform pipeline wiring method and system based on an ant colony optimization algorithm, and a medium, and belongs to the technical field of intelligent optimization algorithms. Comprising the following steps: S11, environment modeling: discretizing a three-dimensional space of an ocean platform into a grid model, marking an obstacle region and a feasible region, and calculating a grid node energy value; s12, parameter initialization: constructing a heuristic information matrix based on pipeline inlet and outlet coordinates and equipment parameters, and determining a node transition probability by the matrix through a direction probability allocation strategy and a distance sensitive function; s13, path optimization: generating candidate paths through dynamic smooth search, local pheromone adaptive adjustment and collaborative ecological niche search, and updating pheromones; and S14, constraint verification and result output: verifying whether the path meets the engineering constraint or not, and outputting the three-dimensional coordinate, length and bend number of the optimal pipeline path after iterative optimization. According to the method, efficient, safe and economical wiring of the offshore platform pipeline is achieved.

The invention provides a three-dimensional tracking scanner with a face recognition safety system and a control method. The three-dimensional tracking type scanner comprises a scanner body; the face recognition module is connected with the scanner body and comprises a binocular camera assembly which is used for responding to the situation that an object approaches the three-dimensional tracking type scanner and synchronously collecting left and right images of the object; the binocular reconstruction unit is used for establishing a three-dimensional grid model of a human face according to the left and right images when the detected object is the human face; the living body detection unit is used for carrying out living body detection on the human face by adopting a multiple detection mechanism based on the three-dimensional grid model; the face recognition unit is used for performing identity recognition on the user corresponding to the face under the condition that the living body detection is passed; and the control management system is connected with the face recognition module, and the control management system is used for allowing the user to execute an operation matched with the permission of the target identity on the scanner body under the condition that the identity of the user is the target identity.

The invention discloses a distributed hydrological model parameter two-stage calibration method based on remote sensing data and actually measured flow. The method comprises the following steps: collecting and preprocessing basic data required for constructing a distributed hydrological model, and remote sensing data and actually measured flow data for calibrating model parameters; constructing a distributed hydrological model, determining hydrological parameters needing to be calibrated in the model, and setting a value range of each parameter; performing grid-by-grid parameter calibration by utilizing remote sensing data to obtain model parameters with spatial heterogeneity characteristics; performing optimization adjustment on grid-by-grid model parameters based on remote sensing data calibration by utilizing actually measured flow data; and finally selecting a parameter combination with the optimal simulation precision as a finally determined model parameter for researching the drainage basin. Spatial distribution information of remote sensing data and time sequence precision of actually measured flow data are fused, and a multi-target calibration scheme considering parameter spatial heterogeneity and calibration result reliability is constructed.

The invention relates to the technical field of bearing life calculation, in particular to a transmission bearing installation pre-tightening amount calculation method and system, and the method comprises the steps: S1, building a finite element mesh model of a transmission housing and a shaft through finite element simulation software based on predefined material attributes; the material attributes comprise elastic modulus, Poisson's ratio and thermal expansion coefficient of the transmission shell and the shaft; s2, based on the actual working condition of transmission assembly life simulation analysis, importing the finite element mesh model of the transmission shell and the shaft into a pre-constructed multi-body dynamics simulation model of the transmission shell, and establishing node connection between the finite element mesh model of the transmission shell and the shaft and a transmission part in the multi-body dynamics simulation model; s3, setting a detection object and a design variable, and adopting a preset strategy to obtain a target mapping curve of the detection object and the design variable; compared with the prior art, the optimal relation between the pre-tightening amount and the service life of the bearing can be quickly determined, so that the service life of the bearing is maximized.

The invention discloses a spherical roller bearing entity simulation method, device and equipment and a medium, and relates to the technical field of wind power generation. According to the scheme, when the finite element mesh model of the spherical roller bearing is constructed, the rollers are connected to the bearing inner ring and the bearing outer ring through the spring units, that is, traditional finite element constraint is replaced with the mode that the rollers are constrained through the spring units, and the conventional constraint limitation in finite element simulation is broken through; accurate analysis of bearing roller contact in a complete machine model is realized; after a complete machine finite element mesh model is generated based on a model of the spherical roller bearing, simulation parameters and loading parameters of the complete machine finite element mesh model are set, the simulation parameters at least comprise a working clearance between a roller and a raceway, that is, contact offset is added to simulate the existence of the radial clearance of the bearing, and the loading parameters of the complete machine finite element mesh model are set. The problem of simulation of play contact of the SRB main bearing under the working condition of high axial force is solved, and three-dimensional balance of physical authenticity, calculation efficiency and engineering applicability is achieved.

The invention relates to a turbine blade cooling optimization method and device based on non-Newtonian fluid. Comprising the following steps: step 1, carrying out grid division and simulation processing on a three-dimensional geometric model of the micro-channel of the turbine blade containing a shear groove to obtain a simulation grid model; 2, on the basis of the simulation grid model, determining a non-Newtonian fluid constitutive model suitable for the simulation grid model, and associating the non-Newtonian fluid constitutive model to the simulation grid model to obtain a fluid characteristic grid model; step 3, calculating index data based on the fluid characteristic grid model and the target equation; 4, adjusting the structure parameters of the shearing grooves in the simulation grid model, repeatedly executing the step 1 to the step 3 according to the adjusted structure parameters of the shearing grooves, and recording index data corresponding to the structure parameters of each group of shearing grooves to obtain a candidate data set; and 5, selecting the structure parameter of the shear groove with the comprehensive optimal resistance performance and heat transfer performance from the candidate data set according to the index data, and taking the structure parameter as an optimized target shear groove parameter.

The invention discloses a sensor optimization arrangement method and system for rapid identification of physical field parameters of a tunnel with a long construction period, and relates to the technical field of underground space sensor arrangement. Sequentially establishing a tunnel geometric model, a physical model and a grid model, and setting boundary conditions to obtain a tunnel internal CFD model; verifying and correcting the CFD model in the tunnel based on the monitoring data after actual installation, and carrying out preliminary tunnel simulation by using the corrected model; and obtaining a weighted fusion mean value of tunnel physical field parameters based on a preliminary tunnel simulation result, carrying out deviation analysis on the weighted fusion mean value and a physical field parameter mean value at different heights, selecting a height range with a minimum error, and combining with a typical installation position to determine an optimal sensor layout scheme. According to the method, more accurate sensor monitoring data can be obtained by using a small number of sensors, and the identification speed and accuracy of tunnel physical field parameters are improved, so that potential safety hazards in a tunnel can be found and prevented in time.

The invention relates to an airspace intelligent generation planning method, system and device based on live-action three-dimensional and semantic rules and a medium. The method comprises the steps of performing Euclidean distance field calculation on a target area live-action three-dimensional triangular mesh model, generating a three-dimensional voxelization distance field, extracting a continuous curved surface formed by points with distance values equal to a safety radius in combination with the safety radius of an aircraft, and generating a flight channel; performing airspace constraint rule mapping processing in the flight channel to generate a flight space with a cost attribute; path searching is carried out in the flying space, an initial broken line path is obtained, spline curve fitting processing is carried out on the path, and a continuous flying track is obtained. According to the method, modeling is carried out on geometric information of a live-action three-dimensional model and multi-dimensional airspace constraints, and path searching and trajectory fitting are combined, so that the environment authenticity, path safety and adaptability to aircraft dynamic characteristics of airspace planning are improved, and the responsiveness to dynamic airspace changes is enhanced.