28 results about "Design objects" patented technology

In various embodiments, a computer-implemented method for performing an analysis of a sketch to identify one or more objects for a generative design, the method comprising receiving the sketch via a user interference, executing a first trained machine learning (ML) model that generates an identification of a first object included in the sketch based on one or more contextual features that are associated with the first object and also are included in the sketch, transmitting the identification to a second machine learning model, and executing a second trained ML model that generates a first design object based on the identification.

The present disclosure relates to an extended reality (XR)-based supervision assisting device, which finds a construction error by comparing a real design object photographed by a camera of the supervision assisting device with building information modelling (BIM) design data, and corrects the BIM design data to fit the real design object when the construction error between the real design object and the BIM design data exceeds a preset error tolerance range, thereby adjusting the BIM design data according to the construction error.

In various embodiments, a computer-implemented method for displaying object information associated with a computer-aided design, the method comprising displaying a design space that includes a plurality of design objects, generating a prompt that includes a set of object identifiers corresponding to a first set of design objects included in the plurality of design objects and a first query for a set of object labels corresponding to the first set of design objects, transmitting the prompt to at least one trained machine learning (ML) model for processing, receiving, from the at least one trained ML model, a first ML response that includes the set of object labels corresponding to the first set of design objects, and displaying the set of object labels within the design space.

In various embodiments, a computer-implemented method for displaying a prompt space comprises displaying a design space comprising one or more design objects, receiving a selection of a current location within the design space, and displaying the prompt space at a placement location within the design space based on the current location.

In various embodiments, a computer-implemented method for generating recommendations for a generative design, comprises receiving a selection of a prompt volume within a design space, wherein the design space is generated by a design exploration application, and the prompt volume defines a sphere of influence within the prompt volume, identifying one or more design objects within the prompt volume, generating a plurality of candidate actions associated with the one or more design objects, and displaying, within a recommendation window included in the design space, at least one candidate action from the plurality of candidate actions.

To provide a structural design device that reduces a calculation load in optimization calculation for a structural design process.SOLUTION: A structural design device includes: a cross-section information generation unit that generates cross-section information for a structure of a design object; a determination unit that determines whether or not a structure having the generated cross-section information satisfies a condition of a preset evaluation item; and an optimum solution determination unit that evaluates, after the determination by the determination unit is completed, a preset object function and determines an optimum solution for the cross-section information. The evaluation item consists of a design verification item for the structure and a prior-evaluation item that should be considered when designing the structure. The determination unit sequentially determines whether the evaluation items are satisfied and completes the determination when it determines that the evaluation item is not satisfied.SELECTED DRAWING: Figure 1

The invention provides a design object structure topological optimization method based on adaptive material field series expansion. The method has a self-adaptive correlation function which considers spatial correlation and load correlation between field points in the material field at the same time, the correlation of the material field is described more accurately, and the series expansion effect of the material field is improved. A topological optimization adaptive material field series expansion method with double circulation is provided based on an adaptive correlation function, and the optimization efficiency is improved while the design variable scale is reduced and the checkerboard phenomenon and the grid dependence are avoided.

To make it possible to realize a front loading design in consideration of an environment load index.SOLUTION: A design support system comprises: a processing category reception unit for receiving a processing category of a design target on a design screen; a BOP (Bill Of Process) candidate calculating unit for specifying a candidate of a processing method belonging to the processing category with respect to each of the processing categories to calculate, as a BOP candidate, combination of the candidates of the processing method specified with respect to all of the design targets; an environment load index calculating unit for calculating an environment load index of the BOP candidate; and a display information generating unit for displaying, on the design screen, the environment information index in association with the BOP candidate.SELECTED DRAWING: Figure 1

The present invention provides a method and system for topological design of heat dissipation structure of power device based on SIMP, wherein the method comprises: obtaining the design area of ​​the design object, and meshing the design area; obtaining the design variables and their initial values, design parameters and constraints, and establishing a mathematical model of thermal conductive materials based on SIMP; establishing a unit thermal conductivity matrix and an overall thermal conductivity matrix of the design object based on the above model; establishing a topological design model of the heat dissipation structure based on the above matrix; calculating the sensitivity of the objective function, and analyzing the sensitivity of the design variables; calculating the objective function based on the sensitivity of the objective function and the design variables; and obtaining the optimal topological structure of the design object when the objective function meets the convergence condition. The present application optimizes the topological structure of the heat dissipation structure of the power device based on the SIMP model in the variable density method, avoids the defects of the traditional design method, is less time-consuming, low-cost, has good numerical stability and feasibility, improves the efficiency of product design, and accelerates the product design cycle.

To provide a design method which is excellent in design efficiency in the case that even a design object having the same contents of a designation item of a specification has different contents of a design item in a different prerequisite.SOLUTION: A design method creates a specification including a content group being a combination of contents of various items including an A term and a B term as a designated item and a P term as a design item for a design object. The design method includes a first designation information creation procedure for creating first designation information, a second designation information creation means for creating second designation information, an overwriting order setting procedure for setting an overwriting order by the first designation information and the second designation information, and a designation information overwriting order procedure for performing overwriting by the first designation information and the second designation information in the overwriting order set to the content group with the contents of the A term and the B term in the specification designated.SELECTED DRAWING: Figure 1

In various embodiments, a computer-implemented method for generating a design object includes generating a cue within a design space generated by a design exploration application, where the cue has a cue definition including at least a design intent text, and a cue volume, the cue volume occupies a part of the design space and an influence range is applied in the cue volume; executing a trained machine learning (ML) model on the cue to generate the design object; and displaying the design object within the cue volume.

A model generation apparatus of the present disclosure includes: an acquiring means that acquires first design information of a designed object; a first generating means that generates occupancy information representing presence or absence of occupancy of the designed object in each position in a three-dimensional space, according to the first design information; and a second generating means that generates a model shape of the designed object composed of a combination of a plurality of default structures, according to the occupancy information.

To provide a design support device capable of effectively utilizing failure knowledge in design work and reducing man-hours needed for a detailed check of a proposed analysis result and variation due to a user personal.SOLUTION: A design support device for evaluating failures and their factors possibly occurred on a design model created by a design tool, includes: a causal model database for storing a causal model showing failures possibly occurred on a design target by use of causal relation where a phenomenon as a factor causes other phenomenon, an attribute information extraction part for extracting attribute information on the design target from the design model, and an association degree evaluation part for extracting causal relation from the causal model as a causal relation having a high relevance degree to the design model, the causal relation including contents matching with the extracted attribute information.SELECTED DRAWING: Figure 1

In various embodiments, a computer-implemented method for generating recommendations for a generative design, comprises receiving a selection of a prompt volume within a design space, wherein the design space is generated by a design exploration application, and the prompt volume defines a sphere of influence within the prompt volume, identifying one or more design objects within the prompt volume, generating a plurality of candidate actions associated with the one or more design objects, and displaying, within a recommendation window included in the design space, at least one candidate action from the plurality of candidate actions.

A computer-implemented method for generating design objects for computer-aided drawing (CAD) design, comprises combining at least two of a first input received from a first client device and one or more persistent intents to generate a composite prompt, inputting the composite prompt into a trained machine learning (ML) model for execution, receiving a design object generated by the trained ML model in response to the composite prompt; and displaying the design object in a design space that includes the CAD design.

In various embodiments, a computer-implemented method for displaying object information associated with a computer-aided design, the method comprising displaying a design space that includes a plurality of design objects, generating a prompt that includes a set of object identifiers corresponding to a first set of design objects included in the plurality of design objects and a first query for a set of object labels corresponding to the first set of design objects, transmitting the prompt to at least one trained machine learning (ML) model for processing, receiving, from the at least one trained ML model, a first ML response that includes the set of object labels corresponding to the first set of design objects, and displaying the set of object labels within the design space.

In various embodiments, a computer-implemented method for performing an analysis of a sketch to identify one or more objects for a generative design, the method comprising receiving the sketch via a user interference, executing a first trained machine learning (ML) model that generates an identification of a first object included in the sketch based on one or more contextual features that are associated with the first object and also are included in the sketch, transmitting the identification to a second machine learning model, and executing a second trained ML model that generates a first design object based on the identification.

Embodiments of the present disclosure relate to methods, devices, equipment and computer-readable storage media for generating digital models from architectural or non-architectural design drawings. The method includes: extracting a first data set from a first image of a drawing of a design target, the first data set at least including the position, geometry and type of one or more types of components of the design target; extracting a second data set from a second image of the drawing with a higher resolution, the second data set including the position and geometry of one or more types of components of the design target, and the position and geometry of the corresponding components included in the second data set have higher accuracy than the position and geometry of the corresponding components included in the first data set; correcting the first data set at least based on the second data set; and generating a digital model of the design target based at least on the corrected first data set. The scheme of the present disclosure provides a mold remodeling method combining low-resolution and high-resolution images and introduces a feedback mechanism, thereby reducing the computing resources and manpower consumption used for mold remodeling while improving the accuracy of the design drawing remodeling.

To enable the determination of the feasibility of requests of a person concerned such as a designer and a customer of a product with high accuracy.SOLUTION: A design support system for supporting design of a product being a design object made up of components being one or more components includes: a storage device 20 for storing component block information D003 on components including component attributes showing attributes of the components, and function block information D002 showing performance to be performed by the product; a request conversion unit 101 for converting a request specification showing a requests to the product by persons concerned of the product into first product performance; a performance estimation unit 102 for estimating second product performance showing the performance of the product on the basis of the component attributes of the components constituting the product; and a request determination unit 103 for comparing the first product performance with the second product performance to determine feasibility showing that the request specification can be achieved by the product.SELECTED DRAWING: Figure 1

A computer-implemented method for generating design objects for computer-aided drawing (CAD) design, comprises combining at least two of a first input received from a first client device and one or more persistent intents to generate a composite prompt, inputting the composite prompt into a trained machine learning (ML) model for execution, receiving a design object generated by the trained ML model in response to the composite prompt; and displaying the design object in a design space that includes the CAD design.

Embodiments of the present application provide a control method, device, system and storage medium. In the control system, a first user can provide device art design information to a server through a design terminal, and the server can determine a design object for displaying a corresponding artistic effect based on the device art design information, generate a control instruction corresponding to the design object, and control the design object to enter a corresponding working state based on the control instruction. Further, the intelligent device art display mode of automatically displaying the set artistic effect of the device art according to the device art design information provided by the art designer is realized, the configuration efficiency and flexibility of the design object are improved, and the technical difficulty of the device art designer in device art design is reduced.

This invention provides a systematic design method and system for product packaging and promotional materials. The method includes: acquiring core information about similar products; identifying cardboard boxes, aluminum foil, and promotional materials as design objects; establishing association rules for design elements such as graphics, text, colors, and logos; training an AI design model based on a pre-set database; generating initial design schemes for each design object and adhering to the association rules; performing association verification and optimization adjustments on the schemes to ensure that all design elements form a unified association, constituting a systematic design set; and outputting the final scheme after overall approval, classifying and storing it, and establishing an association index for retrieval and reuse. Through the collaboration of various modules, the system achieves a systematic and unified design of packaging and promotional materials for similar products, ensuring the coherence of associations among the elements of each design object.

In various embodiments, a computer-implemented method for displaying a cue space, the method comprising displaying a design space comprising one or more design objects; receiving a selection of a current location within the design space; and displaying the prompt space at a placement position in the design space based on the current position. In other embodiments, a computer-implemented method for displaying a cue history, the method comprising: displaying a design space comprising a first design object; displaying a first prompt history mark in the design space, wherein the first prompt history mark represents a first prompt history associated with the first design object; and in response to receiving a selection for viewing the first prompt history, displaying the first prompt history in a prompt space within the design space.

In various embodiments, a computer-implemented method for generating a design object via a design exploration application comprises receiving an intent input, where the intent input includes at least a textual input, generating, based on the intent input, a design prompt, generating, via a trained machine learning (ML) model, a three-dimensional object based on the design prompt, converting the three-dimensional object to the design object, where the design object includes one or more editable features, and adding the design object to a design space.

The objective of the present invention is to provide a structure for a fusion expression based on a wreath. The structure of the present invention is characterized by including a graphic design part (120) expressed in the shape of a design object and a fusion wreath expression part (130) implemented as a flower to be fused with the graphic design part (120).

A network computer system provides a graphic application for a user device operated by a user. The network system can receive an input that identifies a design object, and further generate design programming logic that creates the design object when executed via the graphic application. This network computer system can also receive an input that identifies operation programming logic that describes one or more interactions with the design object. This network computer system can generate widget programming logic for a widget object based on the design programming logic and operation programming logic that, when executed, creates an instance of the widget object within the context of the graphic application. In an example, an instance of the widget object includes one or more interactions with an instance of the design object.

In various embodiments, a computer-implemented method for performing an analysis of a sketch to identify one or more objects for a generative design, the method comprising: receiving the sketch via user interference; executing a first trained machine learning (ML) model that generates an identification of a first object included in the sketch based on one or more contextual features associated with the first object and also included in the sketch; transmitting the identifier to a second machine learning model; and executing a second trained ML model that generates the first design object based on the identification.

In various embodiments, a computer-implemented method for generating a design object via a design exploration application comprises receiving an intent input, where the intent input includes at least a textual input, generating, based on the intent input, a design prompt, generating, via a trained machine learning (ML) model, a three-dimensional object based on the design prompt, converting the three-dimensional object to the design object, where the design object includes one or more editable features, and adding the design object to a design space.