8 results about "Model building process" patented technology

The invention discloses a building information model automatic construction method and system and a storage medium. Multi-source data are collected and preprocessed to form input data in a unified format; respectively extracting two-dimensional and three-dimensional features by using a multi-branch architecture of a convolutional neural network, and comprehensively outputting feature information of the building component in a feature fusion layer; and calling a modeling software interface to convert an identification result into corresponding components, and sequentially assembling the corresponding components into a complete building information model. In order to ensure the accuracy of the model, the method introduces a repairing mechanism based on geometric constraint to adjust gaps and overlapping between components, meanwhile, the volume error rate and the position deviation of the model are verified through statistical analysis, if the volume error rate and the position deviation exceed threshold values, error data are fed back to a network to be retrained, and closed-loop optimization of the model construction process is achieved. And the automatic feature extraction capability of deep learning is combined with a BIM software modeling mechanism, so that the modeling efficiency and precision in a complex scene can be remarkably improved.

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 invention provides a maintenance tool for a future state power grid model and a construction method thereof. The maintenance tool comprises a ground state model storage module, a time sequence topology change operator library, a model construction engine and a simulation file generation module, wherein the ground state model storage module is used for storing a ground state detailed model of a power grid. According to the method, a linkage mechanism of analysis context and sequential topology change operators is established, firstly, a research area is determined according to the analysis context, operators outside the research area are pre-screened based on electrical distance and sensitivity analysis, and invalid changes with the influence on the research area lower than a threshold value are eliminated. According to the method, unnecessary detailed modeling of the whole network topology irrelevant to the analysis target is avoided, the target performance of the model construction process is remarkably enhanced, it is ensured that the computing resources are accurately used for constructing the model part strongly relevant to the analysis intention, and the pertinence and the computing efficiency of model construction are improved.

The application discloses a descriptor screening and crystal material physical property prediction method based on material genetic engineering, and the method comprises the following steps: collecting crystal descriptor by calculating and collecting part of crystal material target property data, then carrying out cleaning and comprehensive screening on the descriptor by virtue of variance information, four correlation coefficients and a random sequential feature selection method, then automatically optimizing and adjusting the hyperparameter setting in the model building process by using intelligent optimization thinking, finally applying the trained optimal model to the physical property prediction of the crystal material to obtain the prediction result, and overcoming the non-standard in the model building process of the material physical property prediction model, and improving the learning efficiency and prediction effect of the model.

The invention discloses a method and device for establishing a specific field modeling environment. The method comprises the following steps: constructing a three-layer abstract system for specific field modeling based on a meta-meta model; generating a domain meta-model containing entity class definition, relation class definition and enumeration class definition through an automatic instantiation rule, and configuring attributes, representation forms and constraint relations; packaging the meta-model and the constraint thereof into standardized framework data with a unique identifier; loading the frame data by a runtime analysis module, dynamically generating a visual domain model editor, and enabling a user to complete model construction conforming to constraints; triggering increment verification based on an operation-level event in a model construction process; when the meta-model is updated, executing difference comparison to identify affected model elements and giving repair suggestions; and the runtime expansion of the modeling capability is realized through a plug-in mechanism.

The invention relates to the technical field of building three-dimensional data processing, in particular to a BIM-based building model data accurate conversion processing method. According to the method, the local density feature and the local curvature of each voxel point in the three-dimensional point cloud are analyzed, the influence degree of construction site noise on each voxel point is obtained based on the two features, and the filling necessity of each empty voxel block is obtained based on the overall influence degree distribution of neighborhood non-empty voxel blocks in a second neighborhood range of the empty voxel blocks. Whether the empty voxel blocks need to be filled or not is judged according to the filling necessity, and then a final filling result is obtained for BIM model construction and data conversion. According to the method, the finally constructed BIM building model is more accurate, the accuracy and adaptability of the model construction process under the interference of construction site environmental factors are improved, and data conversion is more accurate.

The invention provides a decision model correction method and device, equipment, a storage medium and a program product, relates to the technical field of computers, and is used for reducing the subjectivity of decision model correction, reducing the complexity of a model construction process and ensuring the consistency of decision model correction. The method comprises the following steps: under the condition that a new feature is introduced into a decision scene, performing correlation analysis on the new feature and at least one decision index of a decision model to obtain at least one correlation coefficient; constructing a target weight matrix based on preset adjustment intensity, the at least one correlation coefficient and an original weight matrix of the decision model; and correcting the decision model based on the target weight matrix.