29results about How to "Rapid modeling" patented technology

The invention discloses an acoustic packet performance prediction method and device, a model training method and device and electronic equipment. The method comprises the following steps: acquiring material-level sound absorption and insulation performance parameters of a component, wherein the material-level sound absorption and insulation performance parameters comprise a material parameter of the component, a structure parameter of the component, a parameter for characterizing the sound absorption performance of a material and / or a parameter for characterizing the sound insulation performance of the material; obtaining a pre-trained sound absorption and insulation performance prediction model, wherein the model comprises sound absorption and insulation performance prediction units of a plurality of levels of acoustic packets; and inputting the material-level sound absorption and insulation performance parameters of each component into a pre-trained sound absorption and insulation performance prediction model, and performing sound absorption and insulation performance prediction on the subsystem. According to the method, the material-level sound absorption and insulation performance parameters of the acoustic package assembly are used as basic data, and the sound absorption and insulation performance of the vehicle subsystem is predicted by using the pre-trained sound absorption and insulation performance prediction model, so that the calculation efficiency and the sound absorption and insulation performance prediction efficiency are improved, and the implementation cost is reduced.

The invention relates to the field of measuring devices, and discloses a multifunctional measuring device for product design, which comprises an upper column body, the middle part of the upper column body is rotatably connected with two symmetrical and mutually spliced supporting rods, an angle measuring device is arranged between the two supporting rods, a three-dimensional scanning camera is arranged on the lower wall of the upper column body, and the three-dimensional scanning camera is arranged on the lower wall of the upper column body. A first support is fixedly connected to the upper wall, a controller is fixedly connected into the first support, a handrail is rotationally connected to the top end of the first support, and two three-dimensional scanning cameras are arranged on the outer walls of the opposite faces of the two supporting rods in a staggered mode according to different heights. Through cooperation of the upper column body, the supporting rod, the angle measuring device, the three-dimensional scanning camera, the wheel-shaped measuring tape and the wheel-shaped horizontal ruler, the whole measuring device can achieve multiple measuring purposes, can be used for traditional measurement and can also conduct three-dimensional contour scanning on an object, the effect of integrating multiple measuring functions is achieved, the tool cost is further reduced, and the working efficiency is improved. And the portability is improved.

The invention discloses a data splitting design method based on a column database, and relates to the technical field of databases, the method comprises the following steps: obtaining splitting parameters and aggregating data to obtain a summarized value required by a business scene, splitting the data according to a preset splitting rule, and checking whether updating exists or not to obtain a new split summarized value; the summary value is then compared with a new summary value to determine whether data needs to be replenished. If the data need to be supplemented, the missing data are filled according to the supplementing parameters; otherwise, returning the final split object. The abstraction of the splitting rule oriented to business personnel and related design are realized, the high abstraction can better face business of a supply chain scene, the storage characteristics of a bottom layer combined column database are well used, extremely high performance is provided for data splitting, the abstraction of the splitting rule irrelevant to a development language is provided, and the development efficiency is improved. And finally, quickly modeling the business through configuration to meet business requirements.

The invention relates to the field of mechanical fatigue strength optimization design, and discloses a transmission shaft fatigue strength optimization method and system, a storage medium and computing device.The transmission shaft fatigue strength optimization method comprises the steps that the contribution degree of key structure parameters to transmission shaft output response is calculated, and the structure parameter with the highest contribution degree serves as a design variable of transmission shaft fatigue strength optimization design; establishing a mathematical model of transmission shaft fatigue strength optimization design to calculate and obtain a performance response value of a transmission shaft model; constructing an initial Kriging agent model based on the selected design variables and the corresponding performance response values, setting a control function based on Bayesian posterior characteristics, and introducing the control function into a classical expectation point adding strategy to establish a Kriging agent model of Bayesian expectation improvement control; the maximum service life of the transmission shaft is taken as a target, the fatigue strength of the transmission shaft is optimally designed on the basis of a Kriging agent model of Bayesian expectation improvement control, global search is carried out by adopting a genetic algorithm, and the optimal structure parameters and fatigue life of the transmission shaft meeting constraint conditions are solved.

The invention provides an intelligent sheet stitching and arranging method and system based on multi-task learning. The method comprises the steps that a sheet file about clothes is acquired; analyzing the original geometric data of each sheet; inputting the original geometric data into a pre-trained evaluation model, and analyzing semantic information and stitching data of each sheet on the same garment; and in modeling software, intelligent stitching between the sheets is carried out based on stitching data, and the sheets are placed at corresponding positions of the virtual model based on semantic information to realize intelligent arrangement of the sheets. According to the scheme, the neural network model is trained based on a large amount of sheet data including stitching data and structural features, effective information on the sheets is fully utilized, and a reference basis with higher quality is provided for intelligent stitching and automatic arrangement of the clothing sheets; the sheet sewing efficiency, the sewing quality and the automation degree of sheet arrangement are improved, and then rapid modeling of a three-dimensional garment model is achieved.

The invention discloses a method for directly inducing generation of organoids from IPS and application, and belongs to the field of cell engineering. The invention provides a method for directly and rapidly generating a target organ based on human IPS, and the lung organ, the placenta organ and the blood vessel organ are obtained. According to the method, the organoid represented by three germ layers is induced, so that the method is suitable for constructing various organoid. Compared with the prior art, the method has the advantages that step-by-step induction is not needed, one-step construction is successful, the operation is simple, the construction time is greatly shortened, the process is repeatable, long-term stable culture and passage are realized under in-vitro conditions, and the freezing survival rate is high; the method has the advantages that the method is simple in operation, the cultured organoid is good in homogeneity, RNA-seq results show that high expression of the blood vessel related genes appears in the organoid, and the maximum length of the organoid can reach 400 micrometers, so that the culture method can spontaneously induce expression of part of the blood vessel related genes to support growth of the organoid. The invention provides an important tool for researching pathogenesis of diseases and subsequent drug development.

The invention discloses a five-degree-of-freedom electromagnetic positioning system and method, and the system comprises a transmitting unit which comprises a plurality of single-axis transmitting coils and is used for generating a magnetic field in a three-dimensional space; the receiving unit is used for collecting field intensity information in a three-dimensional space; the control and data processing unit is used for inputting the field intensity information collected by the receiving unit into a pose initial value prediction network and outputting initial pose information of the receiving unit; inputting the initial attitude information into a coil magnetic field modeling network to obtain theoretical field intensity; and the iterative optimization module acquires a field intensity difference according to the theoretical field intensity and the acquired field intensity information, updates the attitude information according to the field intensity difference, and returns to execute the step of acquiring the theoretical field intensity until a preset iteration termination condition is reached, thereby acquiring the final attitude information. The method can reduce the complexity of a traditional electromagnetic positioning algorithm, improves the positioning precision and speed, can be widely applied to the fields of auxiliary medical treatment, man-machine interaction and motion tracking, and achieves a multi-degree-of-freedom electromagnetic positioning function.

The invention discloses an assembly line variable path planning method based on data and knowledge hybrid driving, which can process more complex assembly line change transmission problems through multi-dimensional change modeling, capture complex relationships in a system and improve accuracy and effectiveness of variable path planning. A multi-agent deep reinforcement learning method of a graph neural network is utilized, and through customized reward function design, the problem that a traditional method is liable to fall into local optimum can be avoided, and a globally optimal solution is searched. By combining expert knowledge and a physical mechanism model with a data driving method, dependence on a large amount of training data can be reduced, the performance of the model under the condition of small data is improved, and the cold start problem is solved. Through hybrid driving of simulation data and experience knowledge, virtual-real mapping rapid modeling in the assembling process can be achieved, the modeling time is shortened, the real-time performance and flexibility of the model are improved, and the method adapts to the rapidly-changing production environment.

The application discloses a flexible multi-body dynamics method verification experimental device, which is used in the field of flexible multi-body dynamics experiments. The system comprises a structure system, a driving system, a measuring system and a connecting system. The structure system comprises a flexible test piece, an auxiliary beam and a counterweight piece. The driving system comprises a servo motor and a feedback control component thereof. The measuring system comprises an accelerometer, an angular displacement sensor, an eddy current sensor and a high-speed camera. The connecting system comprises equivalent torsional spring pieces and design modules for fixing two flexible beam test pieces together, and the system fundamental frequency of the flexible beam is adjusted by changing the torsional spring stiffness. The application provides a device for multi-section flexible beam dynamics experiments, which can accurately measure the displacement response and acceleration response of the test piece, is consistent with the modeling analysis results, and provides an important tool for related research and development.

The invention discloses an artificial intelligence modeling method and device, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a visual modeling tool and a preset model library in the form of a plug-in based on a Jupyterlab framework; the visual modeling tool is used for connecting a plurality of function modules on a canvas according to an operation instruction of a user; according to the visual modeling tool and a preset model library, a development platform for artificial intelligence model modeling is built, and the development platform comprises a front end and a rear end; wherein the front end is used for constructing an artificial intelligence model assembly line graph and sending a network request to the rear end according to the artificial intelligence model assembly line graph and an operation instruction, the rear end is used for scheduling execution of an algorithm task corresponding to the artificial intelligence model assembly line graph and performing artificial intelligence model task management, and the front end and the rear end are both developed based on a Jupterlab plug-in technology. The artificial intelligence modeling efficiency can be improved, and the user experience can be improved.

This invention discloses a high-speed communication link transmitter modeling method based on a Transformer decoder. This method parameterizes the input signal and establishes a deep learning model with an encoder-decoder architecture, including a non-sequential encoder and a Transformer sequential decoder, to predict the output signal of the transmitter given the input signal. The encoder processes the input signal parameters, generates a context vector, and then passes it to the decoder. The decoder uses the context vector and the transmitter output signal sequence to generate a class probability distribution for each point in the sequence. The model is trained using a random masking strategy and employs non-autoregressive decoding and filtering techniques for inference, achieving parallel output sequence prediction. The final output is obtained through a single signal filtering step. Compared with traditional simulation techniques, this method significantly improves simulation speed while maintaining a very small error.

The invention discloses a Dynamo-based parameterized plane route modeling method, which comprises the following steps of: collecting necessary parameters according to a related design file of a plane route: establishing an Excel table for the collected parameters, and reading the table by using a node of Dynamo; the read parameters are subjected to certain processing, so that subsequent operation is facilitated; traversing each parameter matrix; drawing a first easement curve according to the parameters; drawing a drawing arc section according to the first easement curve and the parameters; drawing a second easement curve according to the first easement curve and the arc section; drawing a straight line segment; after all intersection point parameters are traversed, the starting point and the ending point of the plane route are further processed independently; and outputting the drawn plane route. The problems that in the building informatization modeling process, when a plane route is imported into three-dimensional modeling, efficiency is low, and reuse is difficult are solved, and the method has the advantages that rapid modeling can be achieved, increase of labor cost is avoided, and working efficiency is improved.

The invention relates to the technical field of laser processing, in particular to a laser galvanometer track real-time optimization method and system based on deep learning, and the system comprises an adaptation module, a filtering module, a decision module and an adjustment module. According to the method, an initial lag baseline model is trained through small samples, and new working condition supplementary samples are rapidly iterated; synchronously capturing data through multiple sensors, filtering interference, and accurately judging a fixed or dynamic lag type; the fixed lag is compensated by adopting a baseline model, and the dynamic lag outputs a compensation value in real time through a brain-like neural network; and finally, performing closed-loop adjustment on the compensation parameters and the model based on real-time track deviation. The problem that real-time high-precision compensation is difficult to achieve under the dynamic working condition, the small sample new working condition and machining interference of an existing method is solved, the galvanometer track following precision and machining consistency are remarkably improved, and the high-end manufacturing micro-nano-level machining requirement is met.

The invention relates to the field of virtual digital simulation, in particular to a vivid model modeling and rendering method and system in an analog digital environment. The method comprises the following steps: dividing a plurality of objects to be simulated into a first simulation object and a second simulation object by adopting a first classification rule; according to the first classification rule, the objects needing pneumatic calculation are divided into first simulation objects, and the other objects are divided into second simulation objects; querying model data; creating a three-dimensional model of the first simulation object according to the first model data or the second model data; and rendering the three-dimensional model. The invention provides a classification and grading precision differentiation simulation and rendering strategy which can meet the overall requirement of a user for observation on the basis of improving the efficiency.

The invention discloses a Dynamo-based parameterized longitudinal section route modeling method. The method comprises the following steps: collecting necessary parameters according to a longitudinal section route related design file; establishing an Excel table for the collected parameters, and reading the table by using a node of the Dynamo; traversing all parameters; vertical curves are drawn according to the parameters, and all the vertical curves are added to a curve list; traversing all vertical curves; drawing a corresponding straight line segment according to the related vertical curve, and adding the straight line segment to a curve list; further processing the starting point and the ending point of the longitudinal section route; and outputting the drawn vertical curve route. According to the method, the problems of low efficiency and difficulty in reuse when the vertical section route is imported into three-dimensional modeling in the building informatization modeling process are solved, and the method has the characteristics that rapid modeling can be realized, the increase of labor cost is avoided, and the working efficiency is improved.

The present invention provides an active grid control modeling method for a high-proportion renewable energy system, which belongs to the field of energy, including: constructing a converter active power output variation model under small disturbances, thereby establishing a linear relationship between the converter active power output and the load power variation and the converter phase angle difference variation; constructing a VSG control model, and establishing a mathematical model of the converter control link; VSG represents a virtual synchronous generator; constructing an active frequency response model of multiple VSGs running in parallel; and constructing a prediction and correction link model to accurately reflect the actual dynamic behavior of the system. The present invention provides theoretical support for the optimization of active grid control performance.

The invention relates to the technical field of ships, in particular to a ship tail flow guide fin appearance drawing and modeling method which comprises the following steps: importing a stern outline and a stern rib molded line, and importing outlines of a rudder and a guide pipe; drawing inner and outer side steel pipes of a diversion section, drawing inner and outer side inclined tangent lines of the diversion section, drawing a channel arc section of the diversion section, and drawing a diversion section top intersecting line; drawing a guide pipe section top intersecting line, and drawing inner and outer side inclined tangent lines of the guide pipe section; a stern steel pipe is arranged, a top intersecting line of the plotting rudder platform section is arranged, inner and outer side oblique tangent lines of the plotting rudder platform section are arranged, and a contour line of the plotting rudder platform section is arranged; and obtaining control point coordinates of each cross section line of the flow guide fin, establishing each cross section line of the flow guide fin in a three-dimensional space, and adding a longitudinal curve to form a three-dimensional curved surface of the flow guide fin. According to the method, a two-dimensional drawing of fairing of the flow guide fins can be set and drawn through parameterized design of a standardized process according to different ship tail shapes and sizes and positions of guide pipes and rudders used by the ship tail shapes, and three-dimensional modeling of the flow guide fins is rapidly completed.

The present invention discloses a parametric modeling method for the wooden structure of an official building in the Qing Dynasty. The method starts with generating column components. After each component is generated, the parameters of the component are used as the construction parameters of the next component. After the next layer of construction is completed, calculation is performed to obtain the construction parameters of the next layer of components. The construction parameters of the components layer by layer are calculated in sequence, and the final form of the components is obtained through Boolean operations. The parametric modeling of the wooden structure of an official building in the Qing Dynasty is realized by using different components to be called layer by layer and combined in different forms. The present invention relates to the field of architectural engineering technology and can solve the problems of low efficiency in creating ancient building models and lack of overall architecture parameterization in the prior art.

The application provides a detection formula setting and optimization method and device, electronic equipment and a storage medium. The method comprises the following steps: labeling a first data sample to obtain a second data sample; wherein the first data sample comprises a plurality of detection result data; the second data sample comprises the detection result data and a label corresponding to each piece of data; and data feature distribution information of a detection object is obtained according to the second data sample; a preset outlier statistical analysis strategy is used to perform outlier statistical analysis on the data feature distribution information, to obtain defect distribution boundary information and determine a detection formula; and finally, the values of the detection parameters of the detection formula are determined or optimized through reverse deduction according to the defect distribution boundary information and the preset outlier statistical analysis strategy. The application considers the coupling relationship between parameters, can avoid repeated adjustment of parameters, can infer a complete set of detection parameters at the same time, realizes rapid modeling of the detection formula, and can save manpower and time costs.

The invention discloses an organic heavy macromolecule molecular structure auxiliary analysis system method based on an exhaustion algorithm. The method comprises the following steps: constructing a molecular fragment database; based on the number of atoms of each element in a target molecular formula, extracting molecular fragments from the molecular fragment database to obtain a plurality of molecular fragment groups meeting requirements; traversing the molecular fragment group, splicing and combining each molecular fragment in the currently traversed molecular fragment group to obtain a corresponding molecular structure model, and collecting the molecular structure model into a structure set; de-weighting the molecular structure models in the structure set; and comparing the simulated nuclear magnetic data of the molecular structure model in the structure set with the real nuclear magnetic data of the heavy organic matter, and outputting an analysis result. According to the method, rapid and comprehensive modeling of molecular structures of a large number of complex organic matters can be realized, screening of numerous structures is realized by utilizing a computer automatic analysis and comparison method, and manpower is saved to the greatest extent.

The application provides a kind of fusion kinetics aircraft GNC system visual modeling method, it is related to aircraft guidance control system modeling simulation technical field.The method divides aircraft GNC system model into dynamic model, kinematic model, environment model, rudder system model, seeker model, autopilot, target motion model, 3-DOF visual motion simulation model and guidance computer, models each model above and constitutes aircraft GNC system model, is used to solve trajectory when missile flies, required overload and actual overload, seeker tracking curve, instantaneous miss distance, flight attack angle, flight Mach number, rudder deflection angle parameter.The method of the application introduces visual modeling simulation and dynamic data table, considers the coupling influence between each subsystem and related system in GNC system explicitly, is convenient for the simplified modeling and simulation of different configurations guided aircraft, so that aircraft can obtain better flight performance and guidance precision.

This invention discloses a rapid method for constructing semantic electronic maps based on geographic entities, comprising: determining the entity category of each element in the basic surveying and mapping data of the area to be constructed based on a multi-level classification framework, and lightweight compressing the basic surveying and mapping data of each element; converting the geometric surveying and mapping data and attribute information of the elements into geographic entity geometry and geographic entity attributes according to the geometric mapping and attribute mapping relationships of the elements, constructing multi-dimensional semantic relationships of entities, and obtaining two-dimensional geographic entities; selecting a three-dimensional transformation method according to the type of the two-dimensional geographic entity to convert the two-dimensional geographic entity into a three-dimensional geographic entity; performing conflict detection on the generated three-dimensional geographic entity model, and handling the conflict of elements, correcting the corresponding three-dimensional geographic entities to ensure the reliability and accuracy of the constructed three-dimensional geographic entities; and finally constructing a three-dimensional electronic map based on the three-dimensional geographic entities of all elements.

The invention discloses a method and a system for designing a single conical surface structure of a high-power connector plug and socket contact element. The method comprises the following steps: establishing a two-dimensional axial symmetry simulation model according to structural parameters of the single conical surface structure of the high-power connector plug and socket contact element; sequentially endowing the two-dimensional axial symmetry simulation model with material characteristics, setting boundary conditions, carrying out grid division, and carrying out simulation calculation to finally obtain interface pressure and electric field intensity of the two-dimensional axial symmetry simulation model at the single conical surface structure of the plug and socket contact element; judging whether the interface pressure, the electric field intensity and the size of the single conical surface structure of the high-power connector plug and socket contact element meet requirements or not, and if yes, taking the structural parameters corresponding to the two-dimensional axisymmetric simulation model as the structural parameters of the single conical surface structure of the high-power connector plug and socket contact element; and otherwise, changing the structural parameters of the two-dimensional axisymmetric simulation model, re-endowing the material characteristics, setting the boundary conditions, and carrying out grid division.

The application discloses a kind of composite material mixed connection performance modularization quick prediction method, comprising the following steps: S1. the circuit model of composite material connecting structure is constructed, and the circuit model is established based on the mechanical equivalent principle of spring stiffness method;S2. the displacement response signal and load information of connecting structure under the action of load are acquired by simulating composite material connecting structure using the circuit model;S3. based on the displacement response signal, whether the structure is damaged and damage type is judged in combination with corresponding damage criterion;S4. the circuit model is adjusted according to the judgment result;S5. based on the circuit model after adjustment, the complete load-displacement curve of the composite material connecting structure is output in combination with the load information predicted.The application can efficiently predict the nonlinear mechanical response of bolt connection, glue joint connection and glue screw mixed connection structure before damage occurs, and accurately simulate the whole process behavior of stiffness degradation and load redistribution after damage occurs.

The invention discloses an inner and outer contour measuring device, which relates to the technical field of measuring devices and comprises a cradle assembly, a Y-axis sliding table, an outer contour measuring assembly, a first Z-axis sliding table, an X-axis sliding table, an inner contour measuring assembly and a second Z-axis sliding table. The cradle assembly comprises a product clamping assembly, a cradle body, a cradle support and a cradle driving device. The Y-axis sliding table is used for driving the cradle base to slide in the Y-axis direction. The outer contour measuring assembly is used for measuring the outer contour of the product. The first Z-axis sliding table is used for driving the outer contour measuring assembly to slide in the Z-axis direction, and the X-axis sliding table is used for driving the first Z-axis sliding table to slide in the X-axis direction. The inner contour measuring assembly comprises a climbing needle sensor which is used for measuring the inner contour of the product. The second Z-axis sliding table is connected with the inner contour measuring assembly and used for driving the inner contour measuring assembly to slide in the Z-axis direction. According to the device, measurement of the inner contour and the outer contour is completed through one-time clamping, equipment replacement is avoided, and a structural basis is provided for subsequent data fusion.

The invention provides an equilibrium strategy generation method, device and equipment for a large-scale unmanned cluster game, relates to the technical field of large-scale autonomous system decision control, and aims to solve the defects of poor stability and low calculation efficiency when an equilibrium strategy is generated for a large-scale unmanned cluster in the prior art. And efficient collaboration and autonomous decision-making of a large-scale cluster in a complex environment are realized. Comprising the following steps: dividing devices included in a device cluster into a plurality of populations based on characteristic parameters of each device included in the device cluster; constructing an average field game model of the plurality of populations, wherein the average field game model is used for reflecting an interaction effect among the plurality of populations; iteration is carried out based on a target mode and the average field game model, a balance control strategy of the equipment cluster is obtained, and the target mode comprises at least one of exponential weighted aggregation, near-regularization, bootstrap regularization and heuristic acceleration; and controlling the equipment cluster to execute the target task based on the balance control strategy.

This invention discloses a method for 3D defect modeling. The method includes: acquiring a ray detection dataset, which includes several detection images and several robotic arm pose data corresponding to the detection images, wherein the robotic arm pose data represents the position and orientation of the robotic arm holding the ray machine when the 3D defect image is captured; and performing a reverse projection of the defect 3D model based on the detection images and the robotic arm pose data. This invention also discloses a 3D defect modeling device and a computer-readable storage medium. This invention enables 3D defect modeling, accurately determines the defects in the 3D defect model, and achieves rapid 3D defect modeling.

The application relates to a coupling design method for a transmission chain and spatial layout of a ship transmission system and relates to the field of coupling of a transmission chain and spatial layout of a ship transmission system. The application solves the problems of lack of design means for spatial layout of a ship transmission device in conceptual design of the ship transmission system, low visualization degree and low coupling degree of the transmission chain and spatial design. First, a transmission chain data file is analyzed, a transmission unit parameterized model is established according to analyzed transmission unit structure parameters, and an initial skeleton model of a transmission system located between a main engine and a propeller is established in a visual manner based on the transmission unit parameterized model and a logical relationship of the transmission unit according to overall design requirements and under the condition of positioning constraints and coaxial system constraints of the number and spatial positioning coordinates of the main engine and the propeller. The spatial layout of the skeleton model is modified through local adjustment, and a transmission system spatial model is obtained by coupling the spatial layout with the transmission chain. The application is mainly used for rapid visual modeling of the ship transmission system.

The present invention is a three-dimensional rapid modeling system, method, equipment and storage medium for nuclear power plant structure based on two-dimensional plane template drawing, which belongs to the field of nuclear power plant construction. In order to solve the problem that the current nuclear power plant modeling is complicated, time-consuming and error-prone; the present invention first simplifies the two-dimensional plane template drawing to form the contour line of the bottom plane, and offsets the plane contour according to the layer height, and then stretches it according to the layer height. In this way, the stretching of the plane drawings of each layer is completed, and the bottom plate is formed at the floor elevation. After the bottom plate is cut to generate the floor plate, the redundant geometric faces are deleted to generate the three-dimensional geometric model of the nuclear power plant structure. The present invention realizes the function of obtaining the required basic data through the two-dimensional plane template drawing; integrates the design drawings into the design simulation project to accurately reflect the real state; realizes automation through the program, and can be used in the digital collaborative design platform of nuclear power structure in the future.