35 results about "Modelling methods" patented technology

The invention discloses a concrete mesoscopic modeling method based on the calculus principle, and relates to the field of concrete modelling, and the technical scheme comprises the following steps: S1, initializing geometric model parameters; s2, generating aggregate information; s3, interference condition judgment: carrying out interference condition judgment on the generated aggregate; s4, boundary condition judgment: checking whether the aggregate is completely located in the putting domain or not; s5, storing and updating aggregate information; and S6, judging whether the current aggregate total volume reaches a preset volume or not. The method has the beneficial effects that the particle size and position information of the aggregate is randomly generated by introducing the Monte Carlo principle, and random distribution of the aggregate in a putting domain can be realized; the optimal Fuller grading curve proposed on the basis of the calculus principle can greatly reduce the time for generating the model and improve the efficiency of model generation.

The invention provides a life cycle evaluation automatic modeling method based on a large language model, and relates to the technical field of life cycle evaluation, and the method comprises the steps: extracting the multi-modal information of texts, tables, images and the like from the multi-source data of academic literatures, reports and the like, constructing an instruction data set in combination with LCA process knowledge, carrying out the instruction fine tuning of a base large model, and carrying out the automatic modeling of the life cycle evaluation. And obtaining the LCA field large language model. And generating a standardized prompt by utilizing a prompt word optimizer, driving a model to generate a product LCA model framework, filling list data, and perfecting process data in combination with semantic search and a correction mechanism. And intelligent connection recommendation among unit processes is realized by calculating the semantic similarity of input and output streams. And finally, the verified structured data is output to LCA modeling software, an automatic modeling process is completed, and the modeling efficiency and normalization are improved.

The invention discloses an intelligent test paper composition and scoring method and system based on a knowledge graph. The method comprises the following steps: S1, constructing a student knowledge graph state sub-graph; s2, constructing a question bank knowledge graph; s3, on the basis of a node embedding modeling method of an improved DeepWalk algorithm, performing joint training and low-dimensional representation learning on knowledge point nodes by utilizing a continuous bag-of-words model of multi-head context aggregation, and constructing a topic adaptation degree scoring index; s4, outputting an optimal test paper scheme set; s5, collecting a current answer record when the student completes the test paper; and S6, extracting a semantic feature vector and a behavior feature vector, constructing a fusion score feature vector, and generating scores of test paper subjective question answers. According to the invention, accurate test paper composition and multi-dimensional subjective question intelligent scoring for individual knowledge states of students are realized, the method is suitable for personalized learning evaluation and teaching feedback scenes in an education evaluation platform, and the method has the advantages of high personalization, fine feedback and automatic scoring.

The invention discloses a multi-dimensional writing evaluation modeling method based on course standard isomorphism, and relates to natural language processing, education evaluation and text discourse analysis technologies. According to the method, a course standard writing target system is taken as a constraint, a course standard capability structure is analyzed and reconstructed, a writing capability dimension set consistent with the course standard capability structure is constructed, and a structured modeling framework of a dimension-index-evidence chain is further established. In the method, unified measurement of writing features is realized by adopting an index quantization function, and aggregation of dimension scores is completed in combination with a learnable weight matrix; and meanwhile, corresponding evidence fragments and evidence chains are generated, so that traceability of score sources is realized. Compared with a traditional automatic composition scoring method which only gives a single score or a coarse-grained dimension score, the method can provide a multi-dimensional, explainable and calibratable writing ability evaluation result on the basis of a course standard, and the standardization, the consistency and the teaching availability of the evaluation process are remarkably improved.

The invention discloses a tactile common sense reasoning-oriented tactile-language large model modeling method. The method comprises the steps of S1, preparing a first data set and a second data set; s2, constructing a tactile-language large model, wherein the tactile-language large model comprises a tactile encoder, a tactile-language adapter and a large language model LLM; s3, performing two-stage training on the tactile-language large model, and training the tactile-language large model by adopting the first data set in a first training stage; in a second training stage, training the tactile-language large model after the first training stage by adopting a second data set to obtain a trained tactile-language large model; and S4, in a test stage, inputting the second data set into the trained tactile-language large model to obtain text description. According to the tactile-language large model modeling method, the parameter coupling risk is reduced, robust fusion of efficient convergence and cross-modal representation is realized, and the training stability is remarkably improved.

The invention relates to a BIM data large model-based Revit modeling method and system, and the method comprises the steps: building a modeling model according to a multi-modal training data set, and the modeling model comprises a feature extraction module, a rule base module, a topological relation module and a rule mapping module. And in response to instruction information of a modeling demand input by a user, extracting structured feature parameters through a feature extraction module. And matching the structured feature parameters with the building rules in the rule base module to obtain the building rules meeting matching conditions. And based on the building rule, obtaining a component topological relation through a topological relation module. And based on the component topological relation, generating a building model meeting modeling requirements through a rule mapping module. The problem that in the prior art, a Revit modeling method based on a BIM data large model is low in automatic modeling efficiency is solved.

The invention discloses a gas-solid interaction scattering nuclear model modeling method based on a corrected characteristic temperature, and the method comprises the steps: determining the average incident energy according to the macroscopic temperature and macroscopic speed of incident gas; calculating tangential and normal energy adaptation coefficients and a total energy adaptation coefficient according to given tangential and normal momentum adaptation coefficients; constructing a gas reflection temperature based on the average incident energy, the wall surface temperature and the total energy adaptation coefficient; calculating tangential correction characteristic temperature according to the reflection temperature and the tangential momentum adaptation coefficient; calculating a normal correction characteristic temperature according to the reflection temperature and the normal momentum adaptation coefficient; and respectively replacing the wall surface temperatures of the tangential and normal scattering nuclei of the original CLL model with the tangential and normal corrected characteristic temperatures to obtain a gas-solid interaction scattering nucleus model based on the corrected characteristic temperatures. According to the method, the characteristic temperature of the original CLL model is corrected according to the incoming flow parameters on the premise that the number of adjustable parameters is not increased, and the simulation precision of the gas scattering behavior is improved.

The application discloses a risk control modeling method and device based on a large model agent and equipment, comprising: receiving a natural language modeling instruction input by a user, and inputting the natural language modeling instruction into a fine-tuned intention recognition large model for analysis, and outputting a corresponding structured function call instruction sequence; inputting the structured function call instruction sequence into a risk control modeling agent to generate a corresponding task execution plan; selecting an execution path according to the task type of each function call instruction in the task execution plan through the risk control modeling agent; calling a corresponding remote tool service or a local function function to execute the current task according to the execution path, and returning an execution result; receiving and integrating the execution result of each function call instruction through the risk control modeling agent, and determining and executing subsequent operations according to the obtained integrated result, wherein the subsequent operations include continuing to execute the next function call instruction, initiating an interactive inquiry to the user or outputting a final risk control modeling result.

The invention discloses a modeling method for component credibility in a station house pipe gallery information model, which comprises the following steps of: generating error mode characteristics according to a construction process section of a boundary component, analyzing a conflict mode among pre-stored multi-source data by utilizing the error mode characteristics, and calculating single credibility of the boundary component; constructing a process block-structure block double-layer graph comprising a process block layer and a structure block layer, and respectively associating the boundary components to process block nodes and structure block nodes in the process block-structure block double-layer graph; and configuring an anisotropic propagation weight according to the error mode characteristics, executing spatial propagation of the credibility of the single body on the process block-structure block double-layer graph, and generating a spatial credibility field. According to the method, the construction logic and the structural boundary are explicitly coded, so that the problems that errors cross physical boundaries and are diffused and multi-source data conflicts are difficult to explain in a traditional method are solved, and accurate evaluation on the credibility of the component in the complex boundary area is realized.

The invention discloses a modeling method and a modeling system, and relates to the technical field of three-dimensional modeling. The modeling method is based on a multi-degree-of-freedom motion platform. The first movement mechanism, the second movement mechanism and the third movement mechanism of the multi-degree-of-freedom movement platform are controlled to be matched to drive the carrying table to move, so that the camera shooting equipment collects image information of a to-be-modeled target. The multi-degree-of-freedom motion platform can drive the camera equipment to move flexibly, the flexibility of the camera equipment is improved, and the multi-degree-of-freedom motion platform can adapt to diversified scanning paths so as to meet modeling requirements of more application scenes. In addition, the number of the camera devices used in the method is small, and therefore the modeling cost is low.

The present application relates to a kind of socket connection pipeline parameterized modeling system and modeling method, belong to computer aided engineering field.The present application is driven finite element software by Python script, realizes the automatic generation from standard drawing size to complete solution input file.The core steps include: parameter is collected by graphic interface;Based on analytical geometry algorithm, the control point coordinates of complex profile of socket, spigot and T type rubber ring are accurately solved;Automatic model is built and material attribute is given;According to geometric feature, surface domain is automatically cut and anti-lock gradient grid is generated;"shrinkage-expansion-insertion" multi-step analysis sequence based on virtual temperature field is created to solve large interference contact problem;Finally, standard INP file is exported by one key.The present application solves the defects of low efficiency, easy to make mistakes and difficult to standardize of traditional manual modeling, provides full-process automatic solution for large-scale, high-precision simulation of pipe interface.

The invention provides a modeling method, a filler, a modeling device, electronic equipment and a storage medium. The modeling method comprises the following steps: constructing a TPMS basic unit through modeling software, and setting related parameters of the TPMS basic unit; constructing an initial layer based on the TPMS basic unit; stacking the plurality of initial layers to obtain a first filler; respectively setting the aperture of the first filler according to a plurality of preset aperture values to obtain a plurality of second fillers; the plurality of second fillers are in one-to-one correspondence with the plurality of preset aperture values; performing piecewise function fusion on the plurality of second fillers to obtain a target filler; the apertures of the plurality of TPMS structural layers of the target filler are increased from top to bottom.

The invention relates to the technical field of intelligent education, and discloses a multi-modal interactive education content generation method and system. The method comprises the steps of obtaining multi-modal generation data, performing time sequence prediction processing and constructing a time scale model, and determining a modal dynamic value; simulating a resource allocation scene by adopting a probability simulation method based on the modal dynamic value to obtain a cost increasing rule, and adjusting a resource allocation scheme through an optimization algorithm; the time scale model is updated through a feedback cycle mechanism, and the generation time estimation precision is improved; acquiring education content input in real time, judging a resource demand, and if the resource demand exceeds a threshold value, activating the standby resource pool to perform cost control; according to the method, bottleneck points are identified through a clustering analysis method, efficiency improvement indexes are extracted, the multi-modal fusion stability is judged in combination with a sequence modeling method, a resource optimization path is generated, and the resource allocation efficiency and stability of multi-modal education content generation are improved.

The invention discloses a parametric modeling method based on three-view adaptive projection, which is suitable for a task of automatically generating a structured modeling instruction from three-dimensional point cloud data and can realize CAD (Computer Aided Design) structure reconstruction with high geometric consistency and semantic interpretability. The method comprises the following steps: firstly, extracting global features by using a point cloud encoder to predict a rotation attitude in an Euler angle form, and performing rotation alignment on a point cloud; then projecting the rotated point clouds to three groups of orthogonal planes respectively, extracting a high-quality projection point set by combining adaptive grid sampling of normal filtering and density sensing, extracting structured two-dimensional features by adopting a hierarchical K-nearest neighbor aggregation mechanism based on a three-view projection result, and further guiding a parameter decoder to generate a sketch and a stretching modeling instruction; the method has the remarkable advantages in the aspects of structure alignment precision, complex geometry adaptability and program editability, and is suitable for application scenes such as reverse design, industrial part modeling, building sketch reconstruction and intelligent auxiliary modeling.

The invention relates to the technical field of steel structure drawing, in particular to a modeling method and device for a frame structure and a storage medium. The method comprises the steps that a modeling environment is created, the modeling environment comprises a plurality of free datum lines, and the free datum lines are staggered to obtain a plurality of modeling nodes; in response to the modeling operation, a frame structure type selected by a user and a plurality of target modeling nodes are obtained, and the frame structure type comprises a first-class frame structure and a second-class frame structure; based on the modeling parameters of the first-class frame structure, generating the first-class frame structure at the plurality of target modeling nodes; and / or generating the second-class frame structure between the adjacent target modeling nodes based on the modeling parameters of the second-class frame structure. While the modeling speed of the frame structure is increased, the accuracy of the modeling position of the frame structure is considered, and the batch modeling efficiency of the frame structure is improved.

The application relates to the technical field of three-dimensional modeling, in particular to a modeling method and system based on dynamic 3D targets, an electronic device and a storage medium, the method comprising: generating a three-dimensional modeling operation instruction, wherein the operation instruction at least contains an operation type, a target object identifier and a space scope parameter; constructing an operation semantic tree based on the operation instruction; detecting a space scope overlapping area by comparing a local operation semantic tree with a received remote operation semantic tree; applying a space-time dimension priority merging rule when the overlapping area is detected; executing the merged operation instruction and generating a binary log containing an operation semantic tree hash value; and performing a local rollback based on a differential CRC check value when an operation conflict is detected, wherein the differential CRC value is only calculated for the overlapping area data block. The application effectively solves the problems of semantic understanding loss, logical inconsistency and low recovery efficiency during three-dimensional space operation.

This invention provides an intelligent modeling method and system for steel performance prediction based on LLM (Liquidity Management Model). The system includes: receiving and parsing user instructions through a natural language understanding module to generate a standardized task description; automatically generating or matching an automated model building process based on the task description through a planning and execution module; providing decision support based on a knowledge base through a knowledge recommendation module during task planning or execution; and automatically scheduling functional modules such as data access, feature engineering, and model building to complete the modeling task and output the results, based on the recommended information, through the planning and execution module. The system accordingly includes various functional modules implementing the above method. This application achieves end-to-end automated modeling through natural language interaction, automated task planning, and intelligent knowledge recommendation, significantly improving modeling efficiency, lowering the technical threshold, and enhancing model quality and versatility.

The application provides a life cycle assessment automatic modeling method based on a large language model, relates to the technical field of life cycle assessment, and comprises the following steps: multi-modal information such as text, tables and images is extracted from multi-source data such as academic literature and reports, instruction data sets are constructed in combination with LCA process knowledge, a base large model is fine-tuned, and a large language model in the LCA field is obtained. A standardization prompt is generated by using a prompt word optimizer, a product LCA model framework is generated by driving the model, list data is filled in, a process data is perfected in combination with a semantic search and correction mechanism. The semantic similarity of input and output streams is calculated to realize intelligent connection recommendation between unit processes. Finally, the structured data after verification is output to an LCA modeling software, an automatic modeling process is completed, and modeling efficiency and standardization are improved.

The invention discloses an adaptive continuous learning time-varying distribution parameter system space-time modeling method, device, equipment and medium, an initial space-time prediction model is constructed through off-line data, after entering an online stage, the space-time non-stability degree of a system is quantified in real time, and the time-varying distribution parameter system space-time modeling method is realized. A space-time forgetting factor is adaptively generated by using a multi-criterion inference mechanism, so that the updating rhythm of the model is dynamically matched with the variable-scale time-varying rhythm of system dynamics, and the problem that a fixed learning rate is difficult to adapt to multi-scale time-varying characteristics is solved; through a space-time collaborative replay learning mechanism, a disastrous forgetting phenomenon in space-time continuous learning is overcome by recall consolidation of a historical core space-time dynamic mode, and the steps of online distributed parameter system data acquisition and model dynamic updating are repeated until an online stage is ended. Accurate tracking and long-term knowledge maintenance of time-varying space-time dynamics are realized, and prediction precision and robustness of a distributed parameter system in a complex non-stationary environment are remarkably improved.

The invention discloses a BIM modeling method and device based on a large language model, equipment, a medium and a product, and relates to the technical field of data processing.The method comprises the steps that a CAD construction drawing file and a natural language instruction input by a user are obtained; converting the natural language instruction into a high-level language script according to a pre-constructed knowledge base; determining an ROI (Region of Interest) in the CAD construction drawing file according to the high-level language script; performing BIM modeling on the ROI region based on the high-level language script to obtain a BIM model; and outputting the BIM model. According to the method, the operation process is greatly simplified, and meanwhile, the BIM modeling efficiency is remarkably improved.

The invention provides a Hooke pair modeling method, electronic equipment, a storage medium and a program product, and relates to the technical field of vehicles. The method comprises the steps that in response to a modeling instruction of a Hooke pair model, input containing parameterized configuration is obtained, and the parameterized configuration contains parameter values used for representing whether phase angle parameters are contained or not and parameter values of the phase angle parameters when the phase angle parameters are contained; according to the parameterized configuration, modeling a first Hooke pair model corresponding to the parameterized configuration, and displaying the first Hooke pair model on a modeling interaction interface; and in response to a detected type switching instruction of the Hooke pair model, modeling a parameterized configuration corresponding second Hooke pair model, and displaying the second Hooke pair model on the modeling interaction interface, the model types of the first Hooke pair model and the second Hooke pair model being different. According to the method and the device, the modeling operation flexibility of the Hooke pair model is improved.

The application discloses a clamping structure rigidity simulation modeling method and system, a terminal and a storage medium. A grid-divided clamping structure simulation model and a benchmark simulation model of a pre-grid-divided bolt, a pre-grid-divided nut and a pre-grid-divided sleeve are obtained. A bolt length and an assembly plane of the sleeve are obtained by performing collinear node division on the grid-divided clamping structure simulation model. A bolt diameter and sleeve modeling data are obtained. Simulation models of a to-be-assembled bolt, a to-be-assembled nut and a to-be-assembled sleeve are obtained by using the bolt length, the assembly plane of the sleeve, the bolt diameter, the sleeve modeling data and the benchmark simulation model of the pre-grid-divided bolt, the pre-grid-divided nut and the pre-grid-divided sleeve. A clamping structure assembly simulation model is obtained by using the grid-divided clamping structure simulation model and the simulation models of the to-be-assembled bolt, the to-be-assembled nut and the to-be-assembled sleeve. The application realizes automatic modeling of rigidity of ear arm type clamping structures such as a subframe, a T-shaped arm and a shock absorber fork.

The invention provides a modeling method and device and a program product, the modeling method is used for modeling a connecting surface of a wall surface and a top surface of a building, and the modeling method comprises the steps that a vertex set of the building is acquired, and vertexes in the vertex set are vertexes of an included angle of the wall surface of the building; for the vertexes in the vertex set, based on the geographic coordinates of the vertexes, converting the three-dimensional coordinates of the group of curve points corresponding to the vertexes into geographic coordinates in a geographic coordinate system, so that one of the two curve points serving as end points in the group of curve points coincides with the vertexes, and the other one of the two curve points serving as end points in the group of curve points coincides with the vertexes; the other projection point is located on the angular bisector of the included angle of the wall surface where the vertex is located; and generating a vector model of the connecting surface based on the geographic coordinates of the group of curve points corresponding to the adjacent vertexes of the building. Modeling of the connecting face of the wall face and the top face of the building is carried out through the curve, the building can have diversified top face styles such as a rounded style, and meanwhile the modeling speed is high.

The application discloses a kind of 10KV switch cabinet three-dimensional real scene model's modeling method, it is related to model modeling technical field, the engineering file of target equipment three-dimensional real scene model is rendered by rendering display unit, while rendering, preloading is generated to the three-dimensional real scene model of target equipment to attribute loading file, after rendering is completed, main attribute loading file is rendered, and the attribute area included in main attribute loading file and preloading file is based on authorized user daily click operation and the data capacity size of attribute information corresponding to attribute area, the attribute information corresponding to attribute area with higher frequency of daily click and larger data capacity is preloaded into generation process in the case where rendering efficiency is not affected, one hand guarantees the quality and efficiency of teaching, the other hand makes the rendering process of model more intelligent.

The invention discloses a digital teacher personalized behavior modeling method based on multi-modal feature fusion. The method comprises the following steps: obtaining preprocessed multi-modal time sequence data; segmenting the preprocessed multi-modal time series data into behavior segments according to semantic consistency; obtaining a behavior fragment representation vector, and executing online time sequence clustering on the behavior fragment representation vector to obtain an emotion-intention prototype set; outputting the target emotion-intention state after confidence calibration; generating a digital teacher action triggering intention; generating a post-scheduling action triggering instruction queue according to the action priority and the conflict resolution rule, rejecting non-compliant action instructions and generating a compliant action triggering instruction queue; and digital teacher expressions, postures, voices and intonations and teaching auxiliary actions are rendered in the end side or edge equipment. According to the invention, the interaction naturalness, the action controllability and the education normalization of the digital person teacher in a real teaching scene are obviously improved.

The invention discloses a high-energy laser hybrid modeling method and a simulation system for teaching, and the method comprises the following steps: building a capturing, tracking and pointing module: employing at least two of three modeling modes: system dynamics, discrete event simulation and intelligent agent-based simulation; carrying out hybrid modeling on target capturing, tracking and aiming processes and key physical parameters of the laser system; constructing a high-energy laser module: performing hybrid modeling on emission decision, energy management and atmospheric transmission effect of high-energy laser by adopting at least two of three modeling modes of system dynamics, discrete event simulation and intelligent agent-based simulation; and constructing a target vulnerability module: carrying out hybrid modeling on the damage state of the target and laser vulnerability data by adopting at least two of three modeling modes of system dynamics, discrete event simulation and intelligent agent-based simulation. According to the invention, modeling principles and processes can be displayed explicitly, and teaching demonstration is served.

The invention belongs to the field of standard rod modeling analysis, and particularly relates to a self-made standard rod general modeling method for laser calibration. According to the universal modeling method for the self-made standard rod, the two kinds of eccentric errors of the standard tool on the tool handle are comprehensively considered, and therefore the modeling method for the self-made standard rod has good applicability and universal universality. The parameter model of the standard rod is constructed step by step based on a homogeneous coordinate transformation method, and it is ensured that the model has high precision. According to the self-made standard rod modeling method provided by the invention, the parameter information in the model can be determined only by rotating and measuring the geometric data of the standard rod on the tool presetting instrument, and the operation is simple and rapid.

The application relates to the technical field of production line modeling, and proposes a production line parameter change propagation evolution modeling method based on a hypergraph, which comprises the following steps: constructing production line parameters and a correlation relationship into an initial hypergraph model containing nodes, hyperedges, membership relationships, attributes and constraint functions. Then, the system receives a change operation instruction for the nodes or the hyperedges, and executes corresponding atomic or composite operations according to the instruction type, and dynamically updates the topological structure and the membership relationship of the hypergraph. After the change is executed, the system automatically locates the affected area, triggers an attribute recalculation mechanism driven by the constraint function, realizes the automatic propagation and consistency maintenance of the parameter change in the hypergraph model, and finally outputs the production line parameter model in the current state. The application solves the technical problems of high parameter coupling degree and complex change propagation link in a complex production line, and significantly improves the modeling accuracy and evolution efficiency in the parameter change process.

The invention relates to the technical field of parameterization design, and discloses a modeling method and device for a displacement helical gear, computer equipment and a storage medium, and the method comprises the steps: determining design parameters of the displacement helical gear; wherein the design parameters comprise basic process parameters and machining process parameters; in response to the modeling instruction, constructing a target helical gear structure based on the design parameters; wherein the target helical gear structure is a three-dimensional parameterization representation of the displacement helical gear, and the target helical gear structure comprises a target main body structure and a target tool retracting structure which are seamlessly connected. According to the method, the design parameter set containing the basic process parameters and the machining process parameters is determined firstly, then the target main body structure and the target tool retracting structure are constructed step by step in response to the modeling instruction, and parametric modeling of the displacement bevel gear is achieved. According to the modeling method, automatic forming in the whole process can be achieved only by inputting the design parameters, the dependence of the modeling process on artificial experience is reduced, and the design efficiency and the model precision are greatly improved.