39 results about "Conceptual design" patented technology

The invention discloses a 3D art model intelligent generation system and method based on multi-source data fusion, and relates to the technical field of computer aided design and graph generation, and the system comprises a multi-source data input module which is used for receiving a conceptual design drawing, text description and a reference 3D model; the feature extraction module comprises an image feature extraction unit used for extracting a style feature vector and a structure contour vector of the conceptual design drawing; and the text semantic analysis unit is used for outputting a key attribute tag vector described by the text. According to the 3D art model intelligent generation system and method provided by the invention, through multi-source data input including the concept design drawing, the text description and the reference 3D model, the design intention is comprehensively fused, the limitation of a single data source generation model is solved, and the dynamic weight distribution strategy and the closed-loop optimization mechanism of the 3D art model intelligent generation system and method are high in practicability. The geometric shape and style characteristics of the generated model are highly consistent with the design intention, and the workload of manual later correction is reduced.

The invention relates to a foldable tilting four-rotor aircraft concept scheme design method based on task requirements. According to the method, task demand indexes such as voyage, cruising speed, task load, cruising height and hovering height are used as input, and the total design weight, power device parameters, rotor wing geometric parameters and fuselage and wing parameters of the aircraft are determined in sequence; and performance indexes such as hovering lift limit, level flight speed, climbing performance, practical lift limit, voyage and endurance in a helicopter mode and a fixed wing mode are calculated and analyzed respectively. And performing matching judgment on a performance calculation result and a task requirement, and performing iterative adjustment on key parameters such as a paddle disc load when the task requirement is not met, so as to form a closed-loop concept design process driven by the task requirement. According to the method, the vertical take-off and landing capacity and the fixed wing cruising performance can be systematically considered in the conceptual design stage, and systematicness, repeatability and engineering feasibility of scheme design of the folding type tilting four-rotor aircraft are improved.

Embodiments of the present disclosure provide optimal site selection framework. A surrogate process model may be generated based on one or more physics-informed machine learning models and a rigorous dynamic process model. The surrogate process model may comprise a representation of a process including one or more target assets and one or more secondary assets. The process input for the one or more target assets may comprise power output from a renewable energy source. A design optimization algorithm representative of a multi-objective design optimization problem may be generated. The design optimization algorithm may comprise one or more site selection variables and one or more site selection constraints. One or more outputs may be generated by executing an optimization model based on the surrogate process model and the design optimization algorithm. The one or more outputs may comprise predicted optimal sites and an optimal conceptual design for the process.

The invention discloses an industrial master conceptual design method and equipment based on a knowledge graph and MBSE, and belongs to the technical field of industrial design. According to the method, the powerful semantic comprehension and generation capability of a large language model is combined with accurate and reliable knowledge of a knowledge graph and a vector database by utilizing RAG, so that deep analysis of complex requirements, generation of high-quality model elements and more intelligent interaction are realized; the SysML modeling tool is used as a final implementation and visualization platform of the model; comprising the following steps: stage 1, collecting and preprocessing industrial host data, constructing a core knowledge graph, constructing a vector knowledge base, and configuring an RAG system; stage 2, generating an initial model, dynamically modifying the demand and intelligently interacting; and stage 3, performing automatic tracing verification and structure and parameter consistency verification. The concept design of the digital prototype of the industrial master can be quickly generated, and the development efficiency of the industrial master is improved.

This invention discloses a method and system for application design transformation based on technological experience, relating to the field of digital technology. The method includes: collecting open-source technology product data via the internet to construct a digital technology experience center; providing online technology experiences for students to obtain experience monitoring data; designing online courses based on a technology application creation platform to obtain online teaching courses; teaching students to obtain technology application concept design proposals; conducting simulation verification and evaluation through a mechanism simulation system to obtain simulation evaluation results for the design proposals; presenting the technology application concept design proposals in a roadshow to obtain a design demonstration dataset; conducting online expert evaluation; and transforming the technology application concept design proposals into innovative achievements based on the evaluation results. This addresses the technical problems of limited teaching resources, limited practical scenarios, and restricted technological innovation capabilities in existing science and technology education, achieving the technical effect of enriching technological experiences and enhancing technological innovation capabilities.

The invention discloses a ship type conceptual design method and device based on ship typical performance driving and a medium, and relates to the technical field of ship design, and the method comprises the steps: obtaining to-be-designed geometric parameters and demand performance indexes; inputting the geometric parameters to be designed and the demand performance indexes into a ship type generation model, and performing semantic analysis on the demand performance indexes through the ship type generation model to obtain a semantic analysis result; determining a target performance index corresponding to the semantic analysis result; and taking the target performance index as a constraint condition to obtain a target ship form design corresponding to the geometric parameter to be designed. The method is used for solving the problem that in the prior art, the design efficiency is low during ship type concept design, and ship type design meeting user requirements is efficiently and accurately completed.

The application provides a concept design SysML model generation method based on a large language model, and the method comprises the following steps: guiding an LLM by using a thinking chain prompt word template, converting user input into a concept design scheme described in pure text form; guiding the LLM by using a prompt word template 1 to split the concept design scheme into a sentence list containing complete semantics; guiding the LLM by using a prompt word template 2 to extract entities and their relationships from each sentence and output triples; creating a SysML model hierarchical structure according to a predefined rule based on the triples; and creating an XMI file in accordance with an XMI format specification to obtain a complete SysML model. The method significantly improves the automation and generalization of SysML model generation, can effectively process less text input, and generates a concept design scheme model that can be directly used for actual system design and adapts to products, and is particularly suitable for highly complex large system design.

The application relates to an artificial intelligence-based large model design construction method, system, device and storage medium, wherein the large model design construction method comprises the following steps: first, based on the text or voice input of a user, input information is taken as a guide word to generate a corresponding concept design; then, the NLP2SQL technology is used to carry out multi-round and multi-conversation with the user to automatically extract design parameters; then, a vector retrieval technology is used to retrieve the user demand in a design specification to obtain design specification parameters with the highest similarity to the user demand; finally, parameterized modeling design is carried out in combination with a design software to obtain a final design effect. The application can automatically generate a large model design meeting the requirements according to the design specification and user requirements, and improve the design efficiency and quality.

The invention relates to the technical field of industrial design, and discloses a lightweight assembly type mobile equipment industrial design generation method based on artificial intelligence, and the method comprises the following steps: S1, constructing and training a dual-stage AI model which comprises a concept generation module and an industrial conversion module; s2, receiving multi-modal design demand information input by a user; s3, generating at least one visual concept design scheme through the concept generation module; and S4, in response to a selection instruction of a user for the visual concept design scheme, the selected concept scheme is converted into an industrial-grade design scheme through the industrial conversion module, and the industrial-grade design scheme comprises at least one of a bill of material, a technical drawing and a manufacturing instruction. Through the two-stage AI model, full-automatic generation from fuzzy text originality to an accurate industrial-grade manufacturing scheme is realized for the first time, the design period is shortened from several weeks to several hours, and the design cost is reduced.

The invention discloses a hot stamping part conceptual design feasibility evaluation method based on deep learning. The hot stamping part conceptual design feasibility evaluation method comprises the steps that a forming-service material model inheriting the forming history is constructed; constructing a deep learning agent model based on image representation; and evaluating the design feasibility based on the forming-service simulation model. The problem that in the prior art, in the hot stamping part development process, complex part design is difficult to deal with only relying on the experience of a designer, and the influence of the hot forming history on the part service performance is neglected, so that the structural design is unreasonable is solved, and by representing the degradation transfer and accumulation rule of the material performance from the forming stage to the service stage, the material performance is improved. The complex corresponding relation between part design parameters and forming response is defined, seamless connection and real-time linkage of the part forming process and the service process are achieved, the feasibility of all schemes can be rapidly and accurately evaluated in the conceptual design stage, guidance is provided for designers to select reasonable part design schemes, and design according to performance is achieved in the early development stage.

The invention relates to the technical field of flow battery pile end plates, in particular to a flow battery pile end plate design method based on simulation driving, and finally obtains a lightweight pile end plate structure scheme with the highest material utilization rate through a response surface model and construction of a topological space. According to the invention, the trial-manufacture cost is reduced, the stack is delivered in mass production, and the BOM cost of the stack is greatly reduced; on the basis that the pile end plate meets the structural reliability, the overall weight of the pile is effectively reduced, and the light weight of the pile is realized; simulation verification is advanced from a traditional post link to a conceptual design stage, the whole process of scheme argumentation, preliminary design, detailed design and the like is penetrated, the research and development design cycle of the galvanic pile is effectively shortened, and the design cycle can be shortened by 50%; the industrial design effect of the electric pile end plate is achieved, appearance design and packaging of the electric pile are not needed, and the external cost of market-end industrial design is reduced.

The application discloses a kind of based on FBS concept design model's field knowledge graph construction method, it is related to knowledge graph construction technical field.The present application includes: from document backtracking analysis and product concept design relevant design structure, design behavior, design function, and design structure relevant feature attribute, by predefining the relationship type between these design elements, construct design knowledge graph, to solve the problem of multiple entities corresponding to single entity in document, the structure of traditional Casre l model is improved, and attention module is added.According to the mapping relationship between function and structure, the design structure set that can realize the function is retrieved;For two functions that exist interaction, retrieve the structure that exists connection path in the two design structure sets corresponding to two functions, take the union of design structure.The method of the present application can construct the knowledge graph that provides stable and systematic design knowledge, and the improved Casre l model can effectively handle the problem of single entity relationship overlap.

The invention discloses a three-dimensional dynamic sign design and networked cooperation device and method, and relates to the technical field of three-dimensional dynamic sign design. A three-dimensional model dynamic concept design module completes three-dimensional reconstruction on a two-dimensional basic sign image through the steps of format unification, feature extraction and the like through multi-source data acquisition; combining industry classification codes, brand tonality vectors and design style labels to generate a three-dimensional dynamic sign conceptual model; after the model is generated, the equipment division module obtains real-time performance data and historical task data of the equipment, and precise matching of tasks and the equipment is achieved through comprehensive performance evaluation; and the cooperation permission analysis module sets differentiated permission levels based on project personnel position types after equipment division is completed, and realizes safe sharing of model networked cooperation. The full-process automation and intelligentization of three-dimensional sign design from modeling, equipment scheduling to cooperative management are realized.

The invention relates to the field of AIGC, and particularly discloses a prefabricated building design scheme generation system and method based on AIGC, and the method comprises the steps: coding a project red line, a design task book, a structure network and other macroscopic constraints into a global tensor, guiding a submerged space diffusion model to carry out the sampling of a predefined component discrete code book, a discrete layout index matrix conforming to strict modulus limitation is generated; and graph optimization and BIM instantiation are carried out on the layout by using a connection rule base, and the model is forced to follow microcosmic physical connection logic in the generation process. In this way, it is ensured that the generation result can accurately correspond to the factory inventory unit and meet the physical assembly requirement, and therefore the purpose of automatic generation of BIM data from conceptual design to industrial production level is achieved.

The invention provides a flight-thrust integrated performance conceptual design method based on multidisciplinary coupling, and relates to the field of overall design of aircraft propulsion systems, and the flight-thrust integrated performance conceptual design method comprises the following steps: S1, constructing a joint analysis model of geometric-pneumatic lift-drag characteristics of an aircraft; s2, constructing a component-level aviation propulsion system performance simulation model; and S3, establishing and solving a ternary matching relationship of the flight-thrust integrated design, wherein the ternary matching relationship is composed of a designed take-off total weight matching equation, a designed take-off thrust matching equation and a wing plane area matching equation. According to the method, an aircraft model based on geometric body approximate substitution and a component-level aero-engine steady-state performance simulation model are effectively integrated into an aircraft concept design process, so that conjoint analysis and design of aircraft concept design and conjoint analysis and design of aircraft geometric preliminary design and aerodynamic characteristic conjoint analysis and aero-engine thermodynamic cycle design are realized; and a foundation is laid for realizing global efficiency design optimization of the flight-push system.

This invention discloses a collaborative optimization design method for bearing systems based on TRIZ theory, belonging to the field of mechanical design and innovation methods. First, based on the optimization requirements of the bearing system performance, this invention establishes a three-level functional model of supersystem-system-subsystem and identifies key problem clusters. The functional model includes at least one of the following: useful functions, harmful functions, insufficient functions, and excessive functions. Then, based on the three-level functional model, contradiction solutions and resource analysis are performed at the component level, system level, and supersystem level to obtain contradiction solutions. Subsequently, a matter-field model is constructed and solved, and the TRIZ evolutionary law is applied to guide system reconstruction to obtain a system evolution scheme. Finally, the contradiction solutions and the system evolution scheme are cross-integrated and their feasibility is evaluated to generate an innovative conceptual design scheme for the bearing system. This invention effectively solves the problems of existing technologies being limited to single problems and isolated components.

The invention relates to the technical field of production line design, in particular to an assembly production line concept design method and system based on Bayesian framework learning. Comprising the following steps: S1, constructing a knowledge graph of product design, performing fine adjustment on a large model by using the knowledge graph, and generating a product design scheme by using the adjusted large model; s2, in response to the product design scheme, adopting a Bayesian framework to produce a plurality of production line schemes meeting production; and S3, performing data verification on the plurality of production line schemes, judging whether a production line scheme meeting a preset condition exists or not, if so, outputting the production line scheme meeting the preset condition as a final scheme, and if not, executing the step S2 again. The technical problems, such as complex multi-objective optimization, uncertainty management and quick response to demand change, in the conceptual design of the assembly production line are effectively solved, so that the design period is shortened, the production line performance is improved, and the development cost is reduced.

Embodiments of the present disclosure provide an optimal conceptual design framework. A surrogate process model may be generated based on one or more physics-informed machine learning models and a rigorous dynamic process model. The surrogate process model may comprise a representation of a plant process including one or more target assets and one or more secondary assets. The process input for the one or more target assets may comprise power output from a renewable energy source. A design optimization algorithm representative of a multi-objective design optimization problem may be generated. An optimal conceptual design for the process may be generated by executing an optimization model based on the surrogate process model and the design optimization algorithm.

This invention discloses a CAE simulation analysis method for misuse of die-casting trolleys, comprising: deriving a geometric model based on a preliminary design; dividing the element mesh; generating a finite element model; defining materials, boundary conditions, initial volumetric parameters, and control parameters; solving; viewing the analysis results; determining the usability of the model based on the analysis results; if not, improving the model and returning to the step of deriving the geometric model; if yes, determining whether the analysis results meet the design requirements; if yes, obtaining the final design; if not, obtaining the improved structure, obtaining the improved design based on the improved structure, and returning to the step of deriving the geometric model. This invention's CAE simulation analysis method for misuse of die-casting trolleys considers the strength performance of the trolley during the conceptual design stage. If the requirements are not met, it is immediately returned to the designer for modification or redesign, greatly shortening the physical experiment cycle and reducing costs.

The invention relates to the technical field of conceptual design of frame structures, in particular to a conceptual design method and system for a frame structure of a pure electric heavy truck, and the method comprises the steps: constructing a customer demand room through a quality function expansion method, and converting a user demand system of the electric heavy truck into specific engineering characteristics; based on the modular design theory, reusable basic modules and special modules needing to be improved in a traditional heavy truck chassis are recognized. Then, key design conflicts are revealed by constructing a demand-space-technology three-dimensional thermodynamic diagram; relevant engineering parameters are extracted by applying the TRIZ theory, and a solution is quickly obtained by means of a conflict matrix, so that the concept design process is standardized and optimized, and the design efficiency of a product development stage is improved.

The invention provides a design solidification identification and generation guidance system and method for a conceptual design stage, and the method comprises the steps: collecting the operation data of a user in the conceptual design stage in real time, and carrying out the time sequence coding, graph structure feature extraction and context behavior modeling of the data, so as to generate a multi-modal behavior feature vector; based on a depth map neural network and a time convolution network, deep features are extracted, a solidification index is calculated, and whether guidance is triggered or not is judged; after triggering, a designed functional module combination is identified through a functional component clustering engine, a multi-modal generator is combined to disturb a multi-modal behavior feature vector to generate diversified design suggestions, and finally, a result is presented through a visual interaction terminal and user interaction adjustment is supported, so that the problem of design solidification is relieved. The system can effectively improve diversity and innovativeness of concept design, reduce manual intervention cost and improve design efficiency and quality.

The present application belongs to the technical field of CAE simulation, and particularly relates to a forward optimization design method for a hollow cast auxiliary frame. According to the shape features of the hollow cast part, i.e. irregular shape and complex cavity, a series of different optimization algorithms are used for accurate shape description in the design process. The stiffness performance and the strength performance are decoupled into two stages in the whole design process. Since the weighted flexibility minimization and the mass minimization are used in the whole design process, and the fixed feature thickness t is used in the early conceptual design, the height and the width are solved under the feature, and the material is efficiently utilized, so that the whole design process has the effect of lightweight design.

The present invention discloses a multi-level system interface design and management method based on the SysML language, wherein the interface design method comprises: step 1, in the conceptual design stage, using the SysML language to design the use scenario of the system operation, and defining the external interface of the system based on the interactive behavior between the system and the external environment in the use scenario; step 2, in the logical design stage, using the SysML language to define the components in the system, the logical interface between the components, and the interface transmission from the system external interface to the components; step 3, in the physical design stage, defining the physical interface between the components in the device layer to express the physical implementation of the logical interface between the devices. The technical solution of the present invention solves the problem of the document-based interface definition method in traditional system engineering, which may lead to design errors introduced by inconsistent interface definitions because the consistency of the interface can only be guaranteed by manpower, and the interface management method, which requires the establishment of corresponding N 2 This is not conducive to the unified management of interfaces and is prone to introducing errors during the transmission process.

This invention relates to the field of aircraft propulsion system technology, and discloses a comprehensive evaluation and decision-making method for multiple engine concept design schemes. By introducing game theory concepts, it achieves deep coupling of subjective and objective weights, and combines the maximum entropy criterion and deviation penalty factor to seek the optimal compromise between expert experience judgment and the inherent laws of data, thereby obtaining the optimal combination of weights. Based on this, a quantifiable comprehensive evaluation index is constructed to achieve a comprehensive and objective assessment and ranking of engine concept design schemes. Simultaneously, the Euclidean distance considering the standard deviation of technical indicators is introduced into the ranking of alternative schemes, enhancing the discriminative power and robustness of the evaluation results, effectively solving the problem of the difficulty in comprehensively balancing multiple technical indicators such as performance, structure, and cost. This invention can identify and screen the most promising innovative schemes, providing decision support for subsequent component design, thereby improving the overall engine performance and reasonably controlling R&D costs.

The invention discloses a recursive closed-loop method for the overall design of an eVTOL aircraft. The method comprises the following steps: firstly, determining a quantized system-level design index according to a top-level task demand specification; respectively generating design parameter sets of the aerodynamic configuration and the propulsion subsystem based on the key parameters, and setting an initial value range and a current value of the key parameters; then cooperatively operating a multidisciplinary integration model to perform coupling iterative calculation, and outputting a performance prediction parameter set; comparing and verifying with system indexes, generating a key parameter range adjusting instruction according to a result, updating a design space in a recursive manner, and iterating again until all indexes are met. According to the method, by constructing a recursive feedback closed loop and system-level coupling analysis, the design efficiency and systematicness are improved, and the problem that subject splitting and optimization are uncontrollable is solved.

The invention discloses a monorail crane shape design optimization method and system based on generative artificial intelligence, and relates to the field of intelligent human aided design. The problems that in an existing monorail crane appearance design, concept creativity and engineering feasibility are disjointed, the design period is long, and the iteration cost is high are solved. The method comprises the following steps: constructing a monorail crane multi-dimensional semantic association network; generating a conceptual design drawing based on a coal mine knowledge pre-trained vertical large language model and the semantic network; performing multi-dimensional comparison on the concept design drawing, the user demand text and the existing product image, wherein the multi-dimensional comparison comprises semantic consistency comparison and engineering feasibility comparison; based on a comparison result, iteratively optimizing parameters for driving image generation by adopting a particle swarm algorithm until the concept design drawing meets a comprehensive evaluation index; and finally, outputting an optimization scheme through the subjective and objective evaluation modules. The method is also suitable for the application fields of common environment mine monorail crane appearances, extreme environment mine monorail crane appearances and the like.

The invention relates to the technical field of vehicle structure design, and discloses a vehicle structure development method and device, equipment and a storage medium, and the method comprises the steps: obtaining the basic structure parameters of a to-be-tested vehicle; determining candidate performance data corresponding to the to-be-tested vehicle based on the basic structure parameters and the candidate design variables of the to-be-tested vehicle by using a second-order wave theory; wherein the candidate design variables are used for representing dynamic characteristics of the to-be-tested vehicle in the collision process, and the number of the candidate design variables is larger than or equal to two groups; determining target performance data meeting a preset development target in a performance data set formed by the candidate performance data so as to guide the to-be-tested vehicle to carry out structural design of the head-on collision energy absorption space; wherein the performance data set comprises at least two candidate performance data. Through the forward development method for carrying out theoretical calculation simulation in advance in the early conceptual design stage, the later development risk and cost can be remarkably reduced, and the development efficiency and design quality can be fundamentally improved.

This invention discloses a method for designing nested layout schemes in 3D space based on hybrid meta-heuristic evolution. The method includes the following steps: First, constructing an enclosing structure that completely encompasses the 3D space container, setting a safe distance for interference prevention of 3D components, and generating an initial 3D nesting conceptual design layout; next, constructing a set of meta-heuristic operator strategies, generating a group of meta-heuristic operators using the Markov chain Monte Carlo algorithm, and mixing four types of meta-heuristic operators; during the evolution process, solving for a better group of meta-heuristic operators, and using it to update the current 3D prototype layout scheme to obtain a 3D layout based on hybrid meta-heuristic evolution. The method disclosed in this invention can solve the layout problem in irregular 3D space, and also supports nested layouts of 3D components, making full use of the available space inside the components, overcoming the difficulty of existing methods in handling the arrangement of island-shaped containers or components, and significantly improving the utilization rate and layout efficiency of 3D space.

A method and an apparatus for generating conceptual design for mobility apparatus. The method includes: generating problem definition data according to a requirement specification of a user; generating function data according to functional decomposition for each aircraft mission based on the requirement specification and the problem definition data; extracting element data of a main configuration of the aircraft based on design concept data searched for based on the required function data and databased external data; and generating matrix data having airframe configuration data of the aircraft based on a combination of the element data of the main configuration.

An agent-based concept innovation design system and implementation method. A design process is regulated using a large language model, so that the design process is intelligent, thereby greatly improving product concept design efficiency. A design template built from an existing design process is input into the large language model, so that the large language model can regulate the design process according to previous design experience, thereby using existing design experience to perform product concept design to obtain a concept innovation design product required by a user.