853 results about "Control point" patented technology

The invention relates to the field of navigation, and more particularly discloses a gradient optimization driven unmanned aerial vehicle real-time obstacle avoidance multi-stage trajectory planning method, which comprises the following steps of: in a trajectory initialization stage, firstly, searching a collision-free geometric path considering steering limitation of an unmanned aerial vehicle on an occupied grid map by utilizing an improved algorithm to generate an initial B-spline control point; then, in a trajectory optimization stage, constructing a multi-target trajectory optimization problem, introducing an obstacle avoidance constraint based on an Euclidean distance field map, and optimizing the initial control point set in combination with unmanned aerial vehicle parameters and optimization weights to obtain a trajectory meeting an obstacle avoidance requirement; and finally, for the optimized trajectory, performing dynamic feasibility evaluation based on unmanned aerial vehicle kinematics limitation in a trajectory correction stage, and if the trajectory does not meet the constraint, performing correction based on the minimum curvature constraint on the control point to ensure that the finally generated trajectory is not only obstacle-avoiding but also feasible in dynamics, and finally, determining that the trajectory does not meet the constraint. Therefore, the real-time obstacle avoidance capability of the unmanned aerial vehicle in a complex environment is effectively improved.

The invention discloses a diamond cutter path error compensation method based on cutter wear evolution, which comprises the following steps: S1, multi-modal sensor data acquisition and processing: in the machining process, key state information between a diamond cutter and a workpiece is acquired in real time through a multi-modal sensor; s2, tool wear modeling: key geometric parameters and evolution trend of tool wear are extracted from the collected and processed data, and tool wear modeling is carried out. And S3, artificial intelligence prediction of the abrasion loss: training a tool abrasion prediction model based on a deep learning network structure. And S4, tool path compensation is conducted, specifically, the predicted abrasion loss and the actual free-form surface model are combined, the tool path compensation amount and the compensated control point coordinates are calculated, a new machining path is generated, and dynamic compensation of tool cutting edge abrasion is achieved. And S5, system integration and closed-loop control: integrating the steps on processing equipment, and realizing real-time data interaction and synchronization through a unified data protocol.

The embodiment of the invention provides a network security validity verification and quantitative evaluation method and system, and relates to the technical field of network security, and the method comprises the steps: obtaining global dynamic threat intelligence and a multi-dimensional global network security risk data source, and carrying out the preprocessing; constructing a global feature engineering system based on heterogeneous information network atlas and sequence analysis, forming a feature vector matrix, and mapping the feature vector matrix into an index state vector; inputting the feature vector matrix, the index state vector and the external environment information vector into an evaluation model, dynamically adjusting the weight of the feature vector matrix of each dimension, and outputting the validity score of each safety control point; based on the score, calculating a safety effectiveness index based on a time decay factor; identifying a weak link based on the index, and performing simulation verification to obtain a simulation attack actual measurement result; and an error vector is constructed based on the result and the validity score, and parameter adjustment and weight calibration are carried out. According to the scheme, the accuracy and the real-time performance of network security evaluation are improved.

The invention discloses an unmanned aerial vehicle cluster collaborative operation path planning method based on distributed computing power. The method comprises the following steps: constructing a space-time safety corridor composed of convex polyhedrons for each unmanned aerial vehicle; an initial connected track is generated in the corridor, invariant re-parameterization based on curvature and torsion is carried out, and optimization solution is carried out in an invariant space; the result is expressed as a curvature continuous spline curve, a target function containing bending energy and path cost is constructed with control points and node time as variables, multiple constraints are applied, and complementary curvature constraints are established; minimizing the target function under constraint to obtain a smooth track; when an obstacle or a near conflict is detected, local re-optimization is carried out; and the edge nodes are responsible for constraint synchronization, independent optimization of each unmanned aerial vehicle and rolling updating of the flight path. According to the method, the stability of path planning and the energy utilization efficiency are improved by combining distributed computing power collaboration, geometric invariant re-parameterization and complementary curvature constraint.

The invention provides a multi-axis linkage engraving equipment control algorithm optimization method, which belongs to the technical field of engraving equipment, and comprises the following steps of: decomposing a model into a plurality of curved surface segmentation segments according to a curvature change rate, and performing NURBS curve parameterization processing on each segment to generate control point coordinates and weight coefficient data; a dynamic weight adjustment model is adopted to dynamically calculate a path planning weight coefficient according to a tool cutting force value, a surface roughness demand value and a machining efficiency index value, a minimum spanning tree path algorithm is utilized to carry out path connection sequence planning, and a layered interpolation operation framework combining preprocessing interpolation calculation and real-time interpolation compensation is established. And the optimized interpolation coordinate data is converted into an axis control instruction sequence containing a position instruction, a speed instruction and an acceleration instruction, and the technical problem that the interpolation calculation precision and the real-time performance are difficult to balance when the multi-axis linkage carving equipment is used for machining a complex curved surface is solved.

The invention discloses an assembly type laminated slab installation guiding system and method for a public building special-shaped formwork system, and relates to the technical field of constructions.The assembly type laminated slab installation guiding system comprises a data acquisition module, a calculation decision module, an installation guiding module and a geometric compensation connection module; the system comprises a point cloud acquisition module, a point cloud processing module, a BIM processing module, a point cloud processing module, a BIM processing module, a point cloud processing module, a BIM processing module, a field-BIM coordinate correspondence and output of original measurement data and quality indexes, a calculation decision-making module, a component optimal installation attitude and tolerance distribution and generation of installation instruction parameters, and an installation guiding module, which projects an installation instruction to a field in laser, total station and AR modes, and the geometric compensation connecting module is connected with an edge compressible layer through an adjustable bracket and an oval groove hole to achieve XYZ and angle fine adjustment, reliable locking and post-grouting curing are achieved on the premise that the bearing requirement is met, and the device has the advantage of being high in accuracy.

Methods and systems are described for analyzing images. One or more machine learning models may be trained based on a plurality of images. The one or more machine learning models may comprise a model representing a feature in a scene. The one or more machine learning models may be trained to map input image coordinates to vectors of spline control points. Images may be reconstructed removing the feature from the scene.

To provide a video encoding / decoding method for performing intra-prediction on the basis of availability of a reference pixel so as to improve encoding performance.SOLUTION: An intra-prediction method for a color copy mode checks a reference pixel region designated to obtain correlation information, determines a reference pixel processing setting based on a determination of availability of the reference pixel region, and performs intra-prediction according to the determined reference pixel processing. In addition, a candidate list for motion information prediction of the current block is generated, a control point vector of the current block is derived based on the candidate list and a candidate index, a motion vector of the current block is derived based on the control point vector of the current block, and inter prediction is performed on the current block.SELECTED DRAWING: Figure 14

The invention relates to the technical field of water conservancy project quality management, in particular to a BIM-based water conservancy project construction quality digital acceptance management system, which is used for solving the problems that BIM and OWL ontology cannot be fused, semantic modeling and multi-source data association of quality control points and time state attributes are difficult to realize, and the construction quality of a water conservancy project is influenced in the prior art. BIM model information cannot be dynamically updated, intelligent construction suggestions cannot be generated, and the intelligence, precision and automation level of water conservancy project construction quality management and control is reduced. According to the method, BIM and OWL ontologies are fused through the water conservancy component quality intelligent control module, semantic modeling and multi-source data association of quality control points and time state attributes are achieved, and the intelligence, precision and automation level of water conservancy project construction quality control is remarkably improved by dynamically updating BIM model information and generating intelligent construction suggestions.

The invention relates to the technical field of turning machining, and discloses an ultra-precision turning machining control method and system and a storage medium. The method comprises the steps that a laser contourgraph detects geometric parameters and abrasion data of a turning tool, and a tool health degree index is calculated; performing error compensation based on the health degree index to obtain a feeding control parameter; cutting force signals are collected, and technological parameters are optimized through a multi-target genetic algorithm; arranging a temperature sensor array, and adjusting cooling control according to process parameters; and generating a track control point and performing interpolation processing to obtain a motion control sequence. According to the method, the problem that the machining precision is unstable due to the fact that the cutter state cannot be quantitatively evaluated in real time in traditional turning is solved, and the precision control capability and machining quality consistency of ultra-precision turning are improved.

The invention relates to the field of automatic control, and discloses an intelligent control dispensing method and system based on automatic optical detection, and the method comprises the steps: obtaining multi-source real-time data of a dispensing production line, carrying out the feature recognition processing through a preset feature extraction model, and obtaining the dynamically updated production state information; then interference filtering processing is carried out to obtain an effective data set, when it is detected that quality fluctuation exceeds a preset range, an alarm is triggered, deviation identification information is generated, self-adaptive parameter optimization processing is carried out in combination with equipment characteristics and historical operation records, and a control instruction is generated; a control instruction is issued to an execution unit through a double-channel transmission mechanism, transmission delay is monitored in real time, and channels are automatically switched; when the output deviation exceeds the tolerance range, a compensation instruction is generated, parameters of the feature extraction model are updated based on the novel quality fluctuation features, and the dispensing control process is iteratively optimized through closed-loop control. According to the method, the dispensing precision and the production efficiency can be remarkably improved.

The invention relates to the technical field of blasting construction, and particularly discloses a tunnel back break intelligent control method which comprises the following steps: S1, scanning a tunnel face to be blasted to generate high-precision point cloud data; s2, constructing a tunnel face BIM model according to the high-precision point cloud data, and performing space coordinate registration; judging whether blasting is carried out for the first time or not, and if blasting is not carried out for the first time, displaying a blast hole of last blasting on the tunnel face BIM model; s3, receiving input of blast hole space coordinate data of the blasting, and creating blast holes of the blasting on the tunnel face BIM model according to blast hole space coordinates; s4, installing an intelligent laser projector in the tunnel; s5, a reference control point is arranged on the arch crown of the tunnel, projection parameters are calculated, and blast holes of the blasting on the tunnel face BIM model are projected to the actual tunnel face; and S6, drilling is conducted according to the projection, explosives are installed, and blasting is conducted. By the adoption of the technical scheme, the blast hole layout change can be accurately positioned, and the blasting precision is improved.

The invention relates to a node semi-rigid modeling-based complex curved surface reticulated shell multi-objective form optimization method. According to the method, through integration of parametric modeling, numerical simulation and a multi-objective optimization algorithm, efficient optimization design of the irregular boundary free-form surface latticed shell structure is achieved. The control point coordinate matrix of the NURBS curved surface is used for generating a geometric model of the complex curved surface reticulated shell, and high-quality grid division is automatically generated; semi-rigid mechanical behaviors of nodes are simulated through combination of a rigid beam and a spring in a numerical model, semi-rigid characteristics of the nodes are integrated into a rod piece unit, and the mechanical performance of the structure is accurately evaluated; and a non-dominated sorting genetic algorithm is adopted, the minimization of the total strain energy of the structure, the minimization of the total weight of the structure and the maximization of the minimum node configuration degree serve as objective functions, and the multi-objective form optimization design of the complex curved surface reticulated shell is completed. The method is suitable for a single-layer latticed shell structure with any node form and any special-shaped contour boundary, and has wide applicability and good transportability.

The invention discloses an unmanned ship path planning method and system based on an improved A * and time elastic band algorithm, and belongs to the field of path planning. Performing global path search in the grid map based on a guide quantity improved A * algorithm to obtain an initial global path; and then path smoothing processing is carried out twice, so that the planned path better meets the unmanned ship kinematics characteristics and meets the unmanned ship full-size collision-free navigation requirement at the same time. In the process that the unmanned ship sails according to a global path, an improved TEB algorithm is adopted to carry out local path planning, and a B spline curve is adopted to replace a traditional piecewise linear trajectory, so that the number of control points is reduced, the trajectory smoothness is improved, and the constraint capability on dynamics is enhanced. And in the aspect of trajectory tracking control, unmanned ship trajectory tracking control of optimal control and model prediction control is realized.

The invention discloses a gear calibration method for a 3D Hall type combination switch, and the method comprises the steps: starting an upper computer, notifying a six-axis force control robot and a CAN bus tester to prepare, enabling the robot to insert a test sleeve into a switch driving lever, and calibrating the test sleeve to a switch center; the six-axis force control robot pokes a poking rod to test a first gear, collects a force-angle-time array and X / Y / Z magnetic field data of a 3D Hall sensor, calculates alph and beta angles, constructs a correlation array and sends the correlation array to an upper computer; the upper computer generates a multi-dimensional curve graph, analyzes the maximum operating force F1 and the angle S1, finds out a force control point F3 and an angle S3 which are equivalent to the F1 after the S1, and determines the trigger time T3 and calibration data alpha < ph3 >, beta < 3 >, X3, Y3 and Z3; repeating the steps to obtain calibration data of each gear, and after the upper computer is verified to be qualified, writing a product by the CAN bus tester to complete calibration; and 6, the axial force control robot tests all gears, and the CAN bus tester detects the triggering condition and verifies the calibration effectiveness. Problems of early triggering, delayed triggering and the like of the switch can be avoided, and the gear function is accurately triggered.

The application discloses a curved surface structure zero state form finding method, comprising the following steps: (1) a model is established based on a design configuration, and deformation data is obtained by simulating the whole construction process; (2) a zero state configuration is deduced reversely: key node deformation values are extracted, arches are started, a simulation is re-performed after a linear model is fitted and adjusted, and iteration correction is performed until deformation error meets the requirement, and a zero state installation configuration is obtained; and (3) construction data is generated by extracting component line shapes and node coordinates. The application innovatively adopts an integral curvature adjustment strategy to replace a traditional node coordinate local adjustment mode, and through reverse deduction of 'construction simulation-control point arching-curved surface fitting-grid mapping', the problem of curved surface discontinuity caused by the traditional reverse superposition method is solved, construction precision and efficiency are significantly improved, and the application is suitable for intelligent construction of complex curved surface space grid structures.

The invention discloses a dual-hybrid robot mirror image processing equipment trajectory planning method, which comprises the following steps of: defining a dual-machine tool nose point position path and a same point position path on a tool shaft in a Cartesian coordinate system; performing fitting fairing on the paths of double tool nose points and double tool axis points of the double-hybrid robot, the paths of the tool nose points of the four robots and the path of the same point on the tool axis by adopting spline curves, introducing a fitting error evaluation method, reducing fitting errors by adjusting control points, and determining a final double-robot four-Nurbs curve; a cubic B spline is adopted to represent a double-machine speed curve, synchronous coordination machining constraint, joint constraint, cutter shaft constraint and cutter point speed, acceleration and jump threshold values are introduced, an improved iterative optimization algorithm is adopted to obtain double-machine speed curve control points, and it is ensured that the speed curve meets various constraints. According to the method, the trajectory planning process of the double-hybrid robot mirror image processing equipment is realized, time optimization is taken as a target function, the processing efficiency is greatly improved, and the precision requirement is met.

The invention relates to the technical field of automatic driving, in particular to a dynamic scene simulation generation method for automatic driving, which comprises the following steps: step 1, scene initialization and static background reconstruction: utilizing an improved 3D Gaussian splash technology, fusing LiDAR point cloud prior information, reconstructing a large-scale static road environment, and performing semantic decoupling on a scene; step 2, dynamic object and behavior injection: endowing each dynamic object with an initial motion track represented by a learnable Bezier curve, outputting an adjustment instruction for behaviors of other traffic participants by using a generative AI model according to the semantic information of the current scene and a self-vehicle planning track, and finely adjusting a control point of the Bezier curve; the interactive authenticity is improved, human driving behaviors are simulated through generative AI, physical reasonability is ensured through explicit tracks, the test efficiency is improved, and the long-tail scene generation efficiency is improved by 50% or above through conditional generation.

The invention relates to the technical field of freeze-drying control, and discloses an automatic control method and system for freeze-drying, rotating and pre-freezing. According to the method, a freeze-drying process dynamic model is constructed by monitoring operation parameters in a rotary pre-freezing stage, and characteristic indexes of the freeze-drying process dynamic model are analyzed; comparing the index with a standard reference value to generate a deviation analysis result, mining abnormal signals, screening key control points, monitoring environmental parameters in real time, and calculating response coefficients of the environmental parameters influencing the key control points; evaluating a potential fault mode based on the response coefficient, positioning a fragile link in the process, and carrying out performance detection to find out a specific problem point; formulating a control planning target according to the problem point, analyzing a corresponding control mode, querying a standard of the control mode, and generating a control operation instruction according to the standard; after the instruction is applied to equipment execution control, freeze-dried product quality data is collected for consistency verification, and finally a process quality report is generated. According to the method, multi-dimensional monitoring, fault early warning and accurate regulation and control of the freeze-drying, rotating and pre-freezing process are achieved.

A three-dimensional parameterization design method for a side slope water interception and drainage ditch mainly comprises the steps that water interception and drainage objects are arranged on a three-dimensional side slope, and the water interception and drainage objects comprise two sub-objects of an axis and sections of different forms; drawing a ditch axis in the three-dimensional space; setting water interception and drainage section attributes; setting an axis control point, and associating section attributes; calculating a project amount according to the axis and the association attribute; and generating a two-dimensional profile map according to the interception and drainage parameters and the three-dimensional geological information. According to the method, a unique method of coupling a three-dimensional axis graph and a section parameter is adopted, the problem that the difference between the section size and the axis length of the ditch is too large in a conventional three-dimensional design is avoided, and the drawing quality of the ditch is kept good during sectioning; a parameterization + non-parameterization coupling sectioning technology is adopted, the problem that a BIM parameterization model and a GIM information model are difficult to integrate on the aspect of sectioning drawing based on a three-dimensional model is solved, and rapid drawing of a two-dimensional section of a slope intercepting and draining ditch on the basis of the three-dimensional model is achieved.

According to the method for designing the reasonable arch axis of the large-span arch bridge based on the hybrid calculation algorithm and the self-adaptive load distribution, an analytic equation method, a curve fitting method and an intelligent optimization algorithm are combined, and by selecting the initial arch axis, introducing a dynamic load distribution model and applying a genetic algorithm and a particle swarm optimization algorithm, the reasonable arch axis of the large-span arch bridge is designed. Global and local optimization is carried out, and the optimal shape and load distribution of the arch axis are ensured. And finally outputting design parameters, such as a control point, a bending moment, thrust and the like. According to the method, the design precision, flexibility and safety can be effectively improved, the material utilization rate is optimized, the cost is reduced, and the method is particularly suitable for design of large-span bridges and has high practical value.

The invention relates to the technical field of computer aided design and BIM (Building Information Model), discloses a BIM ancient building component parameterization design method and system fused with a historical form and system, and aims to solve the problems of parameter distortion, low modeling efficiency, high rework rate and the like caused by disjunction of a historical building rule and a BIM in the prior art. The method comprises the following steps: acquiring a historical shape and system standard text data set; a component-region-geometry triple knowledge graph is constructed; outputting Bezier curve control points conforming to regional characteristics through a lightweight curvature parameter generation network; generating an initial model in the BIM; a dynamic geometric constraint engine is used for verifying whether parameters such as the roll-killing radian and curvature continuity are out of tolerance or not in real time, and visual feedback and correction suggestions are triggered; and the model is automatically updated after user confirmation. The modeling precision and efficiency are remarkably improved, the rework rate is reduced, and the requirements of ancient building protection engineering specifications are met.

The invention discloses an automatic verification method and system for a topological relation of ocean charting data, and relates to the technical field of charting verification, and the method comprises the steps: obtaining a chart vector element, splitting a broken line into a line segment unit according to a node, splitting a surface domain into a ring domain unit according to an outer ring and an inner hole, and extracting a control point; constructing fractal spectrums for the line segment units based on a multi-resolution box dimension method, comparing the fractal spectrums with normal spectrums, and marking complexity abnormal sections; constructing a polymorphic behavior matrix according to predefined geometric expectation and semantic rules, analyzing conflicts, and identifying topology anomalies; a tide level field is obtained, a coupling constraint field is constructed in combination with equal-depth closed loop hierarchical nesting, and tide depth coupling abnormity of a channel boundary and a closed loop is verified; a lighthouse, a navigation mark and a tide level station control point are screened, and connectivity abnormity is verified according to a semantic rule; and summarizing to generate a verification report. Fractal analysis, a semantic matrix, isodepth coupling and a communication rule are combined, break point errors are accurately distinguished, topological anomaly is detected in a fusion mode, and the time-space consistency of a sea chart and the connectivity of control points are guaranteed.

The invention relates to an active optimization design method of an axial flow fan blade, which comprises the following steps of: defining a blade profile construction line by adopting seven parameters such as a leading edge radius, and parameterizing and representing two-dimensional blade profile geometric characteristics based on NURBS curve control points; a two-dimensional blade profile and three-dimensional fan coordinate system is constructed, and control point coordinate mapping is achieved through matrix transformation; the method comprises the following steps: acquiring an initial sample based on Latin hypercube sampling, and establishing a Gaussian process proxy model by combining two-dimensional CFD calculation data; a K-RVEA algorithm is applied, maximization of a worst attack angle lift-drag ratio and minimization of a resistance coefficient are taken as double targets, Pareto optimization is carried out in combination with geometry and performance constraints, and iteration is terminated through a hyper-volume convergence criterion; and the optimized two-dimensional blade profile parameters are converted into NURBS description, and stacking is carried out in the spanwise direction to generate a three-dimensional blade entity. The grid sensitive effect in three-dimensional optimization is overcome, the flow field analysis precision is improved, invalid calculation is reduced, the blade profile curvature continuity and the process feasibility are guaranteed, and the design period of the axial flow fan is shortened.

The invention discloses a bridge splicing part route optimization design method based on a constraint condition genetic algorithm, and relates to the technical field of bridge engineering design, and the method comprises the steps: building a hard constraint and soft constraint double-layer constraint system based on a standardized data set and a parameterized model in a step 2, and associating the system to fitness calculation of chromosomes; and based on a constraint processing result, integrating multi-objective optimization requirements, and constructing a fitness function. According to the method, a route is abstracted into a third-order cubic B-spline curve and parameterized coding is carried out, iteration is carried out in combination with a genetic algorithm, a design space can be globally explored in an optimizable control point range, and compared with traditional experience design, a better global solution can be found, and the problem of local optimum caused by experience limitation of engineers is avoided. The fitness function realizes multi-target quantitative integration through normalized indexes and adjustable weights, the weights of cost, smoothness and environmental influence can be flexibly adjusted according to project scenes, the problems of multi-target qualitative and difficult comparison in traditional design are solved, and the scheme adaptability is remarkably improved.

The invention provides a ship propeller design optimization method and system based on machine learning, and relates to the technical field of ship propeller design, and the method comprises the steps: building a parameterized curved surface based on a geometric control point coordinate set, converting the parameterized curved surface into a signed distance field (SDF), extracting an SDF zero contour surface to generate an initial grid, and carrying out the gradient optimization of control points to meet the demolding angle constraint, calculating the local thickness of the blade based on the SDF, and predicting shrinkage cavity defect probability distribution by adopting a differentiable thermodynamic model and a spatial-temporal characteristic network; fusing the defect probability and the hydrodynamic performance to construct a target function, reversely propagating the gradient to a geometric control point through a thermal field, a grid and an SDF through differentiable simulation, and driving the gradient to synchronously update; and iteratively executing the process, terminating after the defect probability threshold, the performance tolerance and the convergence condition are met, and outputting the propeller geometric model with excellent hydrodynamic performance and high manufacturability.

The invention relates to the technical field of crossing of atmospheric science and machine learning, in particular to a vertical atmospheric profile fine-grained processing method, system and equipment based on a KAN network, and aims to solve the problems that an existing NWP model is insufficient in vertical resolution, poor in physical consistency, mismatched with high-resolution observation and the like. The method comprises the following steps: acquiring input data of a KAN network; performing nonlinear mapping on the input data through a B-spline function in the KAN network to obtain control point parameters and bias terms of the B-spline function; introducing a physical knowledge constraint into the KAN network, converting an atmospheric physical law into a constraint term of a loss function, and constraining the output of the KAN network; defining control point parameters and bias terms of the B spline function as training parameters of the KAN network, and training the training parameters of the KAN network in stages by adopting a predefined staged training strategy; and outputting an atmospheric variable function in a continuous height range through the trained KAN network so as to realize conversion from an NWP coarse-grained profile to a high-resolution continuous vertical profile.

The invention discloses an image vectorization method and device based on a neural diffusion curve. According to the method, geometric control point parameters of multiple sections of Bezier curves are predicted from end to end in an input grating image through a deep neural network, and the main contour and color structure of the image are accurately represented in a Bezier curve form; color control points on the two sides of the curve are automatically extracted through a micro color sampling module, and physically consistent diffusion curve representation is constructed; and performing neural approximation on the resolving process of the diffusion equation by adopting a rendering network based on a Fourier neural operator to realize end-to-end micro-reconstruction of the image generated by the prediction curve, thereby reversely optimizing the geometric prediction of the curve by using a reconstruction error. According to the method, manual intervention is not needed, image vector representation which is high in fidelity, infinite in scaling, lossless in editing and capable of supporting natural layering can be automatically generated while physical rendering consistency is kept, precision and efficiency are improved, and the method is suitable for the fields of image vectorization, digital art creation, micro rendering, graphic design and the like.

A system and method are provided for modifying a curvilinear pattern in a semiconductor sample design layout. The method includes: acquiring a base spline (B-spline) curve delineating at least part of the contour of a curve pattern and a target displacement for a target spot on the B-spline curve, the B-spline curve being defined according to a set of control points; according to the positions of the target spots on the B-spline curve, one or more control points are selected from the control point set for adjustment; and determining one or more displacements of the one or more control points according to the transfer function in order to obtain a modified B-spline curve comprising the target points moved according to the target displacements when the one or more control points are moved according to the one or more displacements.

The invention discloses a PMCR assembly type refrigerating machine room construction simulation optimization method and system, and relates to the technical field of construction simulation, and the method comprises the steps: S1, collecting machine room construction stress data and machine room refrigeration data, and carrying out the preprocessing of the collected data; s2, constructing a coordinate system, forming an initial data set of the structural units, carrying out quantitative evaluation on the stress safety of each structural unit, and dividing stress intervals; s3, a stress ratio data set is solved, stress interval checking is completed, the refrigeration risk is evaluated, and grading instructions are generated for all stress intervals; and S4, when a construction risk prompt instruction is received, generating an initial hoisting passage path sequence, evaluating passage feasibility of each path control point, generating a final hoisting passage path, and outputting a final construction adjustment scheme. The problems that an existing machine room model is emphasized in completion display and operation and maintenance and lacks construction stage modeling and stress simulation, so that the hoisting safety margin is insufficient, and the hidden danger of local cracking of components is caused are solved.