8 results about "Goal modeling" patented technology

The invention discloses a bridge substructure modeling scheme generation method and device, equipment and a medium, and relates to the technical field of bridge engineering, and the method comprises the steps: obtaining bridge superstructure design input parameters, constructing substructure design task information, and generating design parameters through big language model reasoning; and a modeling script is automatically generated, and structural response calculation is carried out. Different modeling strategies are judged and executed according to the calculation result, finally, a target modeling scheme meeting the requirement is intelligently generated, design parameter generation and automatic modeling of the bridge substructure in a non-standard bridge type scene are achieved, and the design efficiency and accuracy are improved.

The invention relates to the technical field of artificial intelligence, and discloses a three-dimensional model generation control method and system based on artificial intelligence, and the method comprises the steps: analyzing a to-be-modeled target plane graph to obtain first multi-dimensional information, obtaining second multi-dimensional information corresponding to a modeling demander, analyzing a target modeling demand of the modeling demander for the target planar graph based on the second multi-dimensional information; according to the first multi-dimensional information and a target modeling demand, screening modeling reference data matched with the target modeling demand from historical modeling data; generating a model according to the modeling reference data and the target modeling requirement in combination with a modeling parameter generation model which is trained to be converged in advance, and generating a modeling control parameter corresponding to the target plane graph; and performing three-dimensional modeling operation on the target planar graph based on the modeling control parameters to obtain a target three-dimensional model corresponding to the target planar graph. Therefore, the matching degree of the generated three-dimensional model and the actual demand can be improved while the generation efficiency of the three-dimensional model is improved.

The application discloses a bridge substructure modeling scheme generation method and device, equipment and medium, relates to the field of bridge engineering technology, and comprises the following steps: obtaining bridge superstructure design input parameters, constructing substructure design task information, generating design parameters by using a large language model reasoning, and then automatically generating a modeling script and performing structure response calculation. According to the calculation result, different modeling strategies are judged and executed, and finally a target modeling scheme meeting the requirements is intelligently generated, the design parameter generation and automatic modeling of the bridge substructure in a non-standard bridge type scene are realized, and the design efficiency and accuracy are improved.

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 invention provides an automatic system modeling method and device based on a large language model. The method comprises the steps that system modeling text information is acquired; based on target system modeling demand vector representation corresponding to the system modeling text information, a target knowledge text is obtained from a multi-level knowledge base, and the multi-level knowledge base is constructed by system modeling knowledge of different knowledge levels in a layered mode; inputting the system modeling text information and the target knowledge text into a large language model to obtain a target modeling text output by the large language model; and based on a Mermaid chart generation tool, analyzing and rendering the target modeling text to obtain a system modeling result corresponding to the system modeling text information. According to the invention, the accuracy of the system modeling result is improved.

The present disclosure provides a business model creation method and device, the method comprising: in response to a triggering operation on a modeling control in a visual modeling page, displaying a modeling element area; in response to a configuration operation triggered on each modeling element in the modeling element area in sequence, configuring modeling parameters corresponding to each modeling element based on a target business requirement; in response to the modeling parameters of each modeling element being configured, generating a target modeling process matched with the modeling parameters based on the modeling parameters configured for each modeling element; and running the target modeling process to execute a model construction operation through multiple modeling process nodes to generate a target business model. Thus, the present disclosure reduces the threshold for non-technical users to use machine learning modeling tools, reduces the dependence on feature engineering professional knowledge, and avoids the model failure problem caused by node misconfiguration or process loss in traditional visual modeling, while ensuring model quality and significantly improving modeling efficiency.

The invention provides a tunnel BIM intelligent collaborative modeling method and system, and the method comprises the steps: receiving user natural language input information and tunnel-related engineering data files through an interactive interface, performing integration processing on information in the engineering data file and natural language input information of the user through the preposed information and the structured information template to obtain integrated information; sending the integrated information to a large language model for analysis to obtain structured data; obtaining a modeling function call sequence based on modeling scene information in the structured data, and generating structured call information based on the modeling function call sequence and the structured data; and on the basis of the calling information, executing the modeling instruction to obtain target modeling, so that full-life-cycle tunnel collaborative modeling can be realized, and intelligent IFC delivery decision is realized.

The invention discloses a digital process flow modeling method, and relates to the technical field of process planning, and the method comprises the steps: building each distribution model of a target modeling object and a process path for connecting each distribution model based on the physical layout of the target modeling object; configuring each distribution model and each process path based on a design material list of the target modeling object to obtain an assembly process model corresponding to the target modeling object; performing assembly parameter configuration on the process object of the assembly process model to generate a visual assembly process model; and performing data acquisition parameter configuration on the production unit of each process object in the visual assembly process model to complete modeling of the digital process flow. According to the method, visualization of the whole process of assembly process design can be achieved, the efficiency of process planning design is improved, the process quality is guaranteed, the process development period is shortened, and the qualified rate of products is greatly increased.