7 results about "Object design" patented technology

The invention discloses a simulation method and system, electronic equipment and a program product, and relates to the technical field of simulation. The method comprises the steps that multi-modal data is obtained, the multi-modal data comprises a simulation instruction, a simulation object design document and historical simulation data, the simulation instruction is a natural language instruction, and the simulation object design document and the historical simulation data are obtained from a preset data source through a software robot; the software robot is used for executing a task based on a preset rule; the multi-modal data is input into a preset large language model, a script command is generated, and the script command comprises all execution steps of the simulation task; calling a script execution interface of a preset simulation program, and executing the script command to obtain a simulation result; and storing the simulation result to the target server by using the software robot. The technical problems that an existing simulation method is long in consumed time and high in technical threshold are solved.

The application discloses a kind of multi-industry mode middle station's business object attribute efficient extension method and system, the method includes the following steps: constructing flat multi-module middle station field object design;Based on dependency relationship scanning and collecting business object definition;Read the object expansion relationship file set, and carry out expansion relationship screening;Split out the business object set with expansion relationship and the business object set without expansion relationship, merge and remove attribute definition to the former, then output business object complete definition, do not handle the latter.This application combines the modularization of business object attribute disintegration, componentization reorganization thinking and flat expansion design method, so that the middle station system can easily cope with the multiple needs of new business attribute addition, adjustment and even elimination, so as to quickly respond to market changes, effectively support and empower diversified business scenarios.

Systems, methods, and other embodiments described herein relate to controlling a model using data fusion and a multi-modal conditional embedding for generating an object design. In one embodiment, a method includes constructing a completed parameter and an assembled component using completion models from an assembly graph, an incomplete parameter, and a component image about an object design. The method also includes generating input embeddings using encoding models associated with the completed parameter, the assembled component, and a text description. The method also includes computing a multi-modal conditional embedding using multi-modal fusion from the input embeddings. The method also includes controlling a foundational model using the multi-modal conditional embedding with a controlnet and outputting a generated object.

A computing system can include a design access engine and a design processing engine. The design access engine can be configured to access an object design to be constructed by additive manufacturing. The design processing engine can be configured to represent the object design as a combination of coarse geometric cells and high resolution grid cells, and to process the object design based on both the coarse geometric cells and the high resolution grid cells. The processing of the object design can include generation of grid fill, grid simulation, or a combination of both.

The application discloses an emulation method, system, electronic equipment and program product, and relates to the technical field of emulation. The method comprises the following steps: acquiring multi-modal data, wherein the multi-modal data comprises an emulation instruction, an emulation object design document and historical emulation data, the emulation instruction is a natural language instruction, the emulation object design document and the historical emulation data are acquired from a preset data source by a software robot, and the software robot is used for executing a task based on a preset rule; inputting the multi-modal data into a preset large language model to generate a script command, wherein the script command comprises all execution steps of an emulation task; calling a script execution interface of a preset emulation program, executing the script command, and obtaining an emulation result; and storing the emulation result into a target server by using the software robot. The application solves the technical problems that the existing emulation method is time-consuming and has a high technical threshold.

Embodiments of the present disclosure provide a display object generation method, a display object generation system, an electronic device, a storage medium, and a computer program product. The display object generation method comprises: acquiring object generation requirement information input by a user by means of an object creation interface; sending the object generation requirement information to a server, triggering the server to generate page data that matches the object generation requirement information; on the basis of the page data, displaying page content of a display object to be generated; and generating a display object in response to a display object generation operation triggered for the page content. When the present method is used to generate a display object, a user only needs to describe, by means of a short language, the display object that needs to be generated, and the display object that matches the requirements of the user can be quickly generated, eliminating the need for a designer to try best to write, search for an object, and design a page, thereby greatly improving the generation efficiency and speed of the display object.

In some examples, design parameter data for an object can be received based on user input. A set of design criteria for the object can be received based on the design parameter data. A search of a learned design virtual reality (VR) database can be implemented to identify a set of candidate designs for the object based on the set of design criteria. The learned design VR database can include a plurality of previously determined designs for the object. Each candidate design for the object can be simulated in a simulation environment based on a learned design simulation database and optimization criteria to identify at least one new design for the object. A ranked design list can be generated ranking each candidate design and the at least one new design for the object based on ranking criteria.