190 results about "Design plan" patented technology

The invention discloses an optimization design method of a large-model-driven mechanical part, which comprises the following steps of: performing knowledge retrieval according to a design task and a constraint condition, and generating text description of a structure design scheme by fusing the retrieved knowledge through a large-scale language model (LLM); the LLM performs task decomposition and modeling code mapping on the structure design scheme described by the text, and generated modeling codes are directly executed by modeling software to generate a three-dimensional model; the LLM generates a reasoning track and calls a finite element analysis tool set to perform performance analysis on the generated three-dimensional model; and according to optimization requirements and design constraints, the LLM optimizes the three-dimensional model to generate an optimal three-dimensional model. The invention discloses an optimization design system of a large model driven mechanical part. The optimization design system comprises a design scheme generation module, a parametric modeling module, a design scheme verification module and a structure parameter optimization module. The method and the system provided by the invention can save code quantity, reduce manual intervention and improve design efficiency.

The invention discloses an eyelash forming system and method based on a laser cutting film, relates to the technical field of eyelash forming processing, and aims to solve the technical problems of insufficient precision and hot melting deformation in a traditional eyelash process. Comprising a design input and modeling module, a process parameter intelligent optimization module, a cutting path intelligent planning module, a production process intelligent control module, a quality online monitoring and feedback module and a data management and analysis module. The process parameter intelligent optimization module is connected with the design input and modeling module and is used for receiving the initial design scheme and optimizing cutting process parameters of laser power, cutting speed, pulse frequency and light spot diameter by using a machine learning algorithm in combination with a laser cutting process knowledge base and thin film material characteristics; and the cutting path intelligent planning module is connected with the design input and modeling module and the process parameter intelligent optimization module. The eyelash processing device has the advantage of improving the eyelash processing qualification rate and the production efficiency.

The invention provides a building self-correction design method and system based on a big language model, a design experience library and a design rule library are formed by using a BIM model of a historical design scheme and design specifications, and when a new project is designed, the big language model can be used for searching and understanding a historical experience knowledge library, and reasoning ability, so that the design efficiency is improved. Intelligent optimization suggestion is carried out on existing design parameters, the compliance of the suggestion is ensured through retrieval and understanding of a rule base, and finally semi-automatic or automatic correction of building design is achieved.

Methods and apparatus for spatial annotation of design plans in an AI-powered collaborative environment. It includes a controller to receive a static representation of a building's design plan and an AI engine to analyze raster images to identify design elements such as architectural aspects, walls, and rooms. An interactive user interface generates polygons and lines representing these elements, allowing users to select elements for annotation. The apparatus determines positional coordinates of selected elements, links annotations to these coordinates, and updates the interface in real-time for multiple users. Additional features include automated annotation suggestions, user interaction options like commenting and approval, and learning from user interactions to enhance future annotations. The apparatus can detect physical changes in design elements using cameras and update the interface accordingly. It supports dynamic collaboration and enhances the accuracy and efficiency of design plan annotations.

The invention provides a hub variable pitch bearing bolt joint optimization method, system and device and a medium, and belongs to the technical field of bearings. A mechanical model and a dynamic coupling relation of a wind wheel system are constructed; establishing a multi-objective optimization function, and setting constraint conditions; based on an adaptive variation strategy optimization algorithm, setting a multi-stage search strategy, and defining a multi-layer constraint fitness function to embed a multi-objective optimization function and constraint conditions into an algorithm solving framework in combination with global search and local optimization; the improved spider bee optimization algorithm is applied to an operation characteristic model of the double-drive variable pitch system, a hub parameter set is generated, and a local stress concentration area occurring in the optimization process is recognized and avoided; performing dynamic simulation verification on an optimization result; and outputting the design scheme after the simulation verification is passed. According to the invention, a combined optimization mode based on an intelligent algorithm of a wind wheel key component and a multi-objective optimization mechanism is provided, and the balance of the design performance of the overall structure of the hub and the engineering applicability are improved.

The present invention relates to a personalized interior design method based on a user's floor plan, comprising the following steps: analyzing the behavioral data of a target user to obtain the target user's preference parameters; performing vector conversion on the floor plan to obtain vector space relationship feature data; inputting the vector space relationship feature data and the space function arrangement parameters into a preset graph neural network for space layout to generate an initial furniture layout plan; screening the initial furniture layout plan to obtain a screened furniture layout plan; matching and designing the matching parameters with the screened furniture layout plan to obtain a matching design plan, and initially visualizing the matching design plan in a preset interactive interface to generate a three-dimensional visualization rendering. This method solves the technical problem that traditional interior design services are often costly and time-consuming, making them unaffordable for ordinary consumers, leading to a large imbalance between supply and demand in the market.

Disclosed in the present invention are a large-model-based unified representation and reasoning method for multi-modal design information. In the present invention, a large model is used to extract corresponding information of function-behavior-structure from a design scheme, so as to construct a function-behavior-structure graph network, thereby achieving a relatively accurate unified representation of multi-modal design information. In the present invention, on the basis of the comparison between graph networks at different moments, the differences in three dimensions, i.e., function-behavior-structure, are obtained, and on the basis of the differences in each dimension, an optimization scheme for the corresponding dimension can be obtained using a large model, so that design thinking and a design process of a designer in each dimension can be obtained by means of reasoning using a large model, a design scheme for each dimension is optimized on the basis of the design thinking and the design process, and corresponding optimization schemes for the three dimensions are then aggregated to obtain an optimized design scheme.

The invention provides a rapid design model reconstruction method and system based on parameterized feature decoupling, and relates to the technical field of data processing, and the method comprises the steps: selecting a product template from a parameterized product template library constructed according to a feature decoupling idea; on the basis of the selected product template, a new design scheme is obtained through saving operation; based on the new design scheme, determining a process type selection calculation book through project requirements, inputting main body parameters of the design scheme according to the process type selection calculation book, and storing the main body parameters to obtain a parameterized design scheme; on the basis of a parameterized design scheme, parameters of key parts are sequentially input and stored according to predefined part types in a product template, and complete parameter configuration is obtained. Normalization and standardization of product design are achieved, and finally the purposes of shortening the development period and reducing the product cost are achieved.

The invention provides a method and a device for an intelligent computing center cloud platform to realize intelligent agent development of an intelligent agent reflection system through computing power. The method comprises the following steps: S1, receiving task information for developing a target intelligent agent reflection system; s2, determining development requirements of the reflection system according to the task information; s3, determining a design scheme of the reflection system according to development requirements; s4, generating codes of the reflection system according to the development requirements and the design scheme; s5, deploying a running environment of the reflection system and verifying a code of the reflection system; the verification comprises the steps of checking the execution process of the target agent in the process of executing the test case, and judging whether the execution process comprises the reflection process or not; when the verification result indicates that the reflection process is not included, checking the design scheme and the code of the reflection system, returning to the step S3 if the design scheme needs to be modified, and returning to the step S4 if the code needs to be modified until the verification result indicates that the reflection process is included; and S6, feeding back development result information to the user.

The invention discloses a well cementation engineering digital process method and device, and the method comprises the steps: forming well cementation design basic data through employing a large model and an intelligent agent of a cloud end, and generating a preliminary well cementation design scheme; performing analogue simulation on the well cementation design scheme based on a mechanism model and an AI model, analyzing and checking the well cementation design scheme and a simulation result, performing iterative optimization and analogue simulation again on the well cementation design scheme according to a checking result until the well cementation design scheme passes analysis and checking, and pushing the well cementation design scheme to a field edge server; a construction operation system of the field edge server formulates an operation procedure and a flow instruction according to the operation procedure and the flow instruction and sends target well cementation operation parameters to a well cementation equipment control system for well cementation construction automatic control; and the construction operation system analyzes the field operation data and the potential operation risk by adopting an AI model, and dynamically optimizes the target well cementation operation parameters according to the analysis result. Intelligent design of the well cementation design scheme is achieved, and well cementation operation parameters can be dynamically optimized.

The invention discloses a multi-objective optimization design method and system for an axial-flow circulating pump, and belongs to the technical field of evaporative crystallization systems.The method comprises the steps that design variables are selected to construct a multi-objective optimization model, the design variables are associated with geometric parameter sizes of an axial-flow pump full-flow-channel parameterization model, initial fluid dynamics calculation is executed, and a multi-objective optimization model is constructed; obtaining an initial data set containing a design variable-performance response mapping relation, and performing parameter sensitivity analysis on the initial data set to screen key design variables; on the basis of the initial data set, an optimal approximation model is adaptively selected for the key design variables, multi-objective optimization is carried out, and a Pareto optimal solution set is determined; uncertain factors are introduced for robustness evaluation, a target design scheme is determined, and after fluid dynamics verification is carried out, the design scheme of the design variables of the axial flow type circulating pump is obtained. According to the method, an optimization process with high integration, automatic iteration and intelligent learning is constructed, and rapid, accurate and steady multi-objective optimization design of the axial flow pump hydraulic model is realized.

The invention discloses an intelligent design system and method for a building structure. The method comprises the following steps: S1, constructing a building database and a rule database; s2, inputting a construction area and a construction target; s3, generating multiple groups of building designs; s4, generating a simulated building structure, and performing a simulated building structure test; s5, submitting an architectural design result passing the test to an expert group appraisal platform, and scoring by an expert group according to an assessment condition; and S6, outputting a final building design result. Model simulation and testing are carried out after the building scheme is generated according to the construction target, unqualified building design schemes can be filtered and processed through the testing step, the follow-up expert review data volume is reduced, scoring is carried out after expert review, and the efficiency is improved. And some basic qualified design schemes can be optimized according to suggestions of expert appraisal, so that the finally obtained design schemes can be enabled to be richer, and the efficiency of generating the construction design schemes of the scheme is further ensured.

The invention discloses an accelerator architecture design method and electronic equipment, relates to the technical field of computers, and performs dynamic fractal space coding on a design parameter matrix of an accelerator to obtain an analog coding vector. And performing meta-learning dynamic weight entropy search on the analog coding vector by using a historical task data set to determine a new design scheme. And when the difference between the sensitivity parameters in the new design scheme and the sensitivity parameters in the neighbor set meets a difference condition, performing multi-objective optimization simulation on the new design scheme. And when the difference does not meet the difference condition, multiplexing the simulation result of the neighbor set. And performing iterative search according to Bayesian optimization, and determining a final accelerator architecture design scheme in the selected design scheme and the simulation result thereof. Dimension reduction is performed on a high-dimensional discrete space, and a search direction is guided by means of an efficient meta-learning dynamic weight entropy acquisition function. And rapid exploration of an accelerator architecture design space under multi-objective optimization is realized.

Disclosed embodiments perform automated design for buildings or portions of buildings and machine-generate architectural design and floor plans. Computer-implemented systems and methods of designing multi-unit buildings and portions of buildings include a set of one or more input requirements, a relationships module, an options placement system, a layout predictor system, and a design plan generator. The input requirements include one or more pre-defined footprints and may include local regulatory requirements such as building code, zoning, accessibility, among others. The design plan generator generates an architectural design plan for the building or portion of a building that can be built on the one or more pre-defined footprints. Disclosed systems and methods substantially reduce the design time and cost while increasing the profitability, sustainability and efficiency of construction projects.

One variation of a method includes: receiving a descriptor of a design problem; selecting a set of output characteristics based on a set of language signals extracted from the descriptor; selecting a set of functions relating a set of input parameters to the set of output characteristics; accessing a virtual model representing a design solution and defining a set of model variables; linking a subset of input parameters to a subset of model variables analogous to the subset of input parameters; in response to the set of model variables omitting a model variable analogous to a first input parameter in the set of input parameters, prompting a user to update the virtual model to include a first model variable analogous to the first input parameter; and compiling the set of functions, the set of output characteristics, and the set of input parameters into a design specification.

The invention provides a flood discharge tunnel parameterization design system, and relates to the technical field of hydroelectric and hydraulic engineering intelligent design, and the system comprises a management module which is used for transferring all modules of the flood discharge tunnel parameterization design system; the modeling module is internally provided with a flood discharge tunnel parametric modeling library and is used for automatically establishing a flood discharge tunnel three-dimensional model; the parameter module is used for managing parameters related to the design of the flood discharge tunnel; the display module is used for observing the design of the spillway tunnel by a designer; and the design scheme generation and management module is used for extracting the three-dimensional model information of the flood discharge tunnel, calculating and outputting the engineering amount, outputting a corresponding engineering drawing based on the three-dimensional model information of the flood discharge tunnel, and storing the design scheme. According to the method, the spillway tunnel axis and the terrain surface model are only used as input elements, other operations are driven through parameters to update the three-dimensional model, high matching of three-dimensional design and a traditional design process is achieved, and a mode with skeleton driving as a core in traditional modeling is replaced.

The invention discloses an engineering collaborative design management and control method and system based on digital twinning, and relates to the technical field of digital twinning, and the method comprises the steps: presenting a project design in a digital twinning model through a virtual reality environment based on a collaborative management matrix, carrying out the interactive design review and optimization, and generating an optimized design scheme; based on the optimized design scheme, the project team arranges task execution according to the design progress, and generates a task execution plan and resource scheduling data; monitoring actual execution conditions of the task execution plan and the resource scheduling data, and generating a quality control report by analyzing execution deviation and performing quality control; by automatically generating the task execution plan and the resource scheduling data, the design quality and the project management efficiency are improved, and the flexibility and the real-time performance in the project execution process are enhanced.

The invention relates to the technical field of fabricated building cost estimation, and discloses an indoor fabricated design parameter intelligent matching cost estimation method. The method comprises the following steps: constructing a dynamic coupling fabricated component spatio-temporal evolution deduction network for bearing and simulating an interaction and transition process of design parameters in a complete assembly period; based on the network, spatio-temporal trajectory simulation is carried out on historical project data, and a component evolution path sequence containing cost correlation is generated. And establishing a semantic mapping channel from the evolution path sequence to the cost element, and analyzing the sequence into a structured cost influence factor map. And for a design scheme input in real time, the description of the design scheme is injected into the network for deduction, and a target component evolution path is obtained. And carrying out map matching and factor mapping on a target path by utilizing the cost influence factor map, and automatically outputting a refined cost estimation entry. According to the method, accurate and automatic estimation of the dynamic influence cost of the design parameters is realized.

The invention discloses a port-adjacent logistics park planning and design method and system, and belongs to the technical field of port logistics planning and engineering informationization, and the method comprises the steps: generating a plurality of sets of port-adjacent logistics park parameterized plane models, and outputting m sets of park planning and design schemes and corresponding unit parameter data sets; calculating the annual workload and the average stockpiling day number of different types of goods, and outputting a goods quantity statistical result; calculating sub-item cost and engineering cost of each plane unit, and calculating other cost and reserve cost of engineering construction so as to obtain and output total investment of the engineering; calculating the sub-item incomes of the storage unit and the storage yard unit, and correcting the sub-item incomes according to the comprehensive influence factors to obtain the expected income of each set of planning and design scheme; and determining the planning design scheme with the minimum cost-to-benefit ratio as an optimal scheme. According to the method, layout generation, cargo volume prediction, cost calculation and income comparison and selection can be completed at the same time in the planning stage, and the problems that traditional planning design is low in efficiency and lacks economical linkage analysis are effectively solved.

AI-powered apparatus for code compliance related annotation of design plans. A controller and processor receive and analyze a two-dimensional representation of a building design plan. An AI engine identifies design elements such as architectural aspects, walls, and boundaries, represented as pixel patterns. A user interface displays these elements, allowing users to select and annotate them. The system determines positional coordinates for selected elements, updating annotations in real-time to ensure synchronicity across the collaborative environment. The AI engine provides automated annotation suggestions and prioritizes actions based on annotation severity. It compares annotations against a database of safety codes to identify non-compliance issues, alerting users and suggesting adjustments. The apparatus supports real-time collaboration, 3D visualization, and integration with third-party platforms for code compliance services, enhancing workflow efficiency and ensuring adherence to regulatory standards.

The invention discloses an intelligent interactive building design decision support, and relates to the technical field of building design decision. The method comprises the steps that a demand analysis module obtains building design demands, performs semantic analysis, extracts functional demands, spatial demands and constraint conditions, and forms an initial design target set; the value integral module is used for constructing a multi-dimensional value integral account book and distributing primary value integral for each dimension; the priority updating module is used for updating the building design target priority in real time according to the value integral change condition of each dimension and generating candidate design schemes; the conflict resolution module is used for carrying out conflict detection and resolution on the candidate design schemes to generate recommended design schemes; and the load display module is used for collecting intelligent interaction log data, calculating cognitive load indexes of different roles in each stage, and carrying out display mode switching on the recommended design scheme. According to the invention, scientization, dynamic optimization and efficient man-machine cooperation of candidate scheme generation are realized.

Technology is disclosed for constructing a photonic cooling device for a heat source. In one aspect, a computing unit (i) based on at least one design parameter for an extractor layer of the photonic cooling device, inversely designs a coupler layer in accordance with one or more coupler objectives to define a structure of the coupler layer, (ii) generates a coupler-layer design plan indicative of the structure of the coupler layer that facilitates its fabrication, (iii) based on the at least one extractor-layer design parameter, inversely designs a back-reflector layer in accordance with one or more back-reflector objectives to define a structure of the back-reflector layer, (iv) generating a back-reflector-layer design plan indicative of the structure of the back-reflector layer that facilitates its fabrication, and (v) causing at least one of the coupler layer or the back-reflector layer to be fabricated in accordance with the corresponding generated design plan.

The present application provides a multi-curvature surface modeling design optimization method and system based on BIM technology, which relates to the field of data optimization technology. The method includes: obtaining first multi-curvature surface information of a target surface designed using BIM, classifying and obtaining first design rationality parameters; performing construction error analysis based on the first multi-curvature surface information, processing and obtaining first construction error parameters, and performing correction processing to obtain first corrected design rationality parameters; analyzing the first surface strength of the first multi-curvature surface information, obtaining the load-bearing information of the target surface, and configuring design weights and load-bearing weights; calculating the first design rationality parameters and the first surface strength based on the design weights and load-bearing weights, obtaining the first surface design fitness, performing design optimization, and obtaining optimal multi-curvature surface information. This solves the technical problem that the prior art lacks quantitative evaluation methods in the multi-curvature surface modeling design process, resulting in many defects in the design scheme.

The application provides a kind of urban design scheme image generation method and device, with such characteristics, including step S1, according to existing city planning image construction training data set;Step S2, construct planning parameter prediction model and design generation model, and according to training data set respectively training, obtain trained planning parameter prediction model and trained design generation model;Step S3, input specified region image into trained planning parameter prediction model, obtain corresponding predicted planning parameter;Step S4, input predicted planning parameter and specified region image into trained design generation model, obtain design scheme image.In short, the method can generate effective and have specified features and style design scheme image according to specified image.

The invention relates to the field of industrial design automation, and particularly discloses an AI automatic design system, which comprises an AI intelligent decision-making and product type selection module used for generating an optimal product type selection and layout strategy based on project requirements; the automatic structure calculation and compliance verification module is used for receiving the strategy, automatically calling external software to carry out calculation and compliance verification, and outputting structure compliance data and a bill of material first draft; the three-dimensional parametric modeling and drawing output module is used for receiving the data to drive three-dimensional software to automatically model and output a drawing and outputting an accurate bill of materials; and the one-stop scheme package generation module is used for integrating all the achievements to automatically generate a complete design scheme package. According to the method, the implicit design experience is encoded into the AI algorithm, automatic deep collaboration of the AI system and the multi-source heterogeneous engineering software is achieved, automation, standardization and global optimization of the whole design process are achieved, and the design efficiency and quality and the knowledge asset protection capacity are remarkably improved.

The invention provides a design scheme of a bonding wire, electronic equipment, a server and a storage medium, and the scheme comprises the steps: collecting feature data of the bonding wire and a working environment thereof; carrying out numerical coding on the feature data; the feature data subjected to numerical value coding are transmitted into a design model, height and wire diameter predicted values of the bonding wire are obtained, and the design model uses an activation function with physical constraints; adjusting the design model by using a reliability weighted loss function, and optimizing the design model by using multi-task learning until the design model meets process requirements; and outputting a bonding wire design scheme by using the adjusted and optimized design model. The method has the beneficial effects that a systematized, scientific and intelligent solution path is provided for bonding wire design in an accurate, reliable, achievable, high-efficiency and sustainable optimization manner, and the method is better than a traditional artificial experience method or a pure mathematical optimization method.

An object of a system according to an embodiment is to suggest a project on the basis of the personality and hobbies of a user and to stimulate the creativity of the user.SOLUTION: A system according to an embodiment includes a project proposing section, a design proposing section, a material proposing section, a guide providing section, and a creativity stimulating section. A project proposing part proposes a project based on the personality and hobby of the user by using the generation AI. The design proposal unit proposes a design of a specific craft work based on the project. The material proposal unit proposes a material optimal for the project. The guide providing unit provides a step-by-step guide to the project. The creativity stimulator suggests a new idea or technique to stimulate the creativity of the user.SELECTED DRAWING: Figure 1

The invention discloses a tunnel support dynamic design construction method based on surrounding rock grade rapid evaluation, and relates to the technical field of tunnel support construction. The tunnel support dynamic design and construction method based on the rapid evaluation of the surrounding rock level comprises the following steps: S1, collecting early-stage investigation and design data, and compiling a tunnel construction organization design; and S2, tunnel excavation and supporting are carried out according to the design scheme, and tunnel advanced geological forecast and tunnel monitoring measurement are carried out according to conditions. According to the method, real-time evaluation on the stability of the surrounding rock is realized by adopting a field rapid test technology such as a point load test and a rebound method and combining with an advanced neural network analysis model, intelligent optimization design is performed on a supporting structure accordingly, monitoring on the surrounding rock in the construction process is combined, an evaluation model is corrected, and the stability of the surrounding rock is evaluated. The accuracy of evaluation results and the pertinence of design achievements are continuously improved, and safe and rapid construction is achieved.

One embodiment of the present invention provides a technology that optimally designs a single-channel pump and improves performance such as high efficiency and low vibration of the single-channel pump. A method of designing a single-channel pump according to an embodiment of the present invention includes a first step of determining a shape of a volute and setting a plurality of points inside and outside the volute, a second step of selecting a target value, which is a value for a performance numerical value of the single-channel pump, and determining a shape of an impeller suitable for the target value, a third step of setting an analytical cross-sectional area, which is a channel cross-sectional area that adjoins inner and outer points in the volute, and setting a plurality of analytical cross-sectional areas for a plurality of portions in the volute, a fourth step of setting a structure design variable, which is a structural variable of the single-channel pump, and deriving the target value by a numerical analysis, and a fifth step of deriving, as a design plan, a structure design variable value that is a value of the structure design variable that allows the target value to satisfy a preset set target value.

The application relates to a product model generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing; fusing parameter information of the same material in multiple design information to obtain a parameter list and a material list corresponding to the target product; analyzing the relationship between the parameter information of different materials based on the multiple design information to obtain a constraint condition corresponding to the target product; and obtaining a product model corresponding to the target product based on the parameter list, the material list and the constraint condition corresponding to the target product. The method can improve the generation efficiency of the product model.