349 results about "Design plan" patented technology

The invention provides a whole-process engineering consultation management design method, which comprises the following steps of: constructing a unified data exchange standard and protocol, converting heterogeneous data output by design tools of different professions and different units into a standardized data format, realizing seamless joint and real-time sharing of data through data middleware, eliminating data barriers, and improving the data exchange efficiency. The collaborative design efficiency is improved; according to the method, digital technologies such as BIM are adopted, a digital twin model of an engineering project is constructed in a design stage, a design scheme is deepened through virtual construction simulation and optimization, factors such as a construction process, construction procedures and resource allocation are fully considered, and the construction feasibility and economic rationality of design are improved; a collaborative mechanism of a design stage and a construction stage is established, experienced construction managers and technicians are invited to participate in design review, improvement suggestions and suggestions are provided from the construction perspective for a design scheme, a designer is helped to comprehensively understand construction requirements, and the design scheme is optimized.

The invention provides a transformer substation AI aided design method based on LLM and RAG, and the method comprises the steps: carrying out the demand analysis through a large language model LLM, and extracting key information; performing knowledge retrieval by using an RAG technology, wherein the knowledge retrieval comprises transformer substation aided design knowledge base construction, transformer substation aided design knowledge retrieval and knowledge reordering; according to the demand analysis and the knowledge retrieval result, the LLM is utilized to generate a preliminary design scheme of the transformer substation, and the design scheme comprises an electrical main wiring diagram, equipment type selection and layout. By adopting the combination of the LLM, RAG and AI aided design, the comprehensive improvement of the design efficiency, standardization and innovation of the transformer substation can be realized, and the problems of low efficiency, insufficient standardization and lack of innovation in the prior art are solved.

The invention discloses a personalized design intelligent interaction method based on topological optimization, and the method comprises the steps: S1, constructing a user behavior monitoring system based on multi-modal data collection, and generating a high-dimensional data set containing time sequence features; s2, based on an adaptive deep neural network model, performing dynamic prediction and hierarchical modeling on the personalized demand of the user; s3, generating an optimal solution of the design parameters in real time through a dynamic topology reconstruction algorithm; s4, iteratively updating a design scheme generation rule through a reinforcement learning mechanism; s5, constructing a multi-objective design space exploration and optimization framework supported by the neural network, and rapidly screening and optimizing design parameters; s6, dynamic updating and local optimization of the design scheme are achieved through multi-dimensional data mapping and parameterization regulation and control means; and S7, establishing a data-driven continuous learning and evolution mechanism, continuously optimizing the user demand prediction model and designing an optimization algorithm. The method has the advantages of being high in dynamic adaptability, high in intelligent level and high in personalized meeting precision.

The invention relates to the technical field of deep learning, and discloses a cultural and creative product iterative design method and system based on user emotion feedback. The method comprises the following steps: performing multivariate feature fusion on a first user evaluation text to obtain a fine-grained emotion dictionary in the field of cultural and creative products; extracting enhanced word representation and constructing a user emotion feedback information extraction model; processing the second user evaluation text and calculating to-be-optimized design parameters; performing grid division to generate a diversified optimization design scheme set; performing score prediction through the initial design scheme evaluation model to obtain a candidate design scheme set; and iteratively optimizing the candidate design scheme set, updating the initial design scheme evaluation model, and outputting a target design scheme evaluation model and a target creative product design scheme when a termination condition is satisfied. And the schemes can be effectively evaluated and screened.

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.

Methods and apparatus are provided for automated analysis of airflow objectives in architectural design plans using artificial intelligence (AI). A controller evaluates design plans, such as floor plans or architectural drawings, to identify, classify, and assess the placement, type, and configuration of airflow components, including air supply and exhaust vents, ducts, and HVAC systems. The controller examines these components against relevant building deployment objectives and preferred practices, evaluating spatial relationships, airflow patterns, and system configurations. When non-compliance is detected, the system generates automated suggestions for design revisions and optimizations, in order to facilitate adherence to building deployment objectives and functional efficiency before construction begins. The apparatus includes interactive tools for real-time simulation and collaboration, allowing designers, architects, and others to make informed adjustments to the design to achieve optimal airflow management and compliance with building deployment objectives.

The invention provides a material scheduling method and system based on tunnel construction progress, and relates to the technical field of information, and the method comprises the steps: querying the construction progress information of a target tunnel; then, determining a target construction tunnel unit corresponding to the target construction section in the whole tunnel construction model, and obtaining a construction design scheme corresponding to the target construction tunnel unit; then, determining the next construction process stage of the target construction section and material details required by the next construction process stage of the target construction section; and finally, scheduling corresponding materials based on the material details required by the next construction process stage. According to the method, the target tunnel is divided into the multiple construction tunnel units, and different construction design schemes are configured for the construction tunnel units, so that the next construction process stage at different construction positions can be accurately obtained, corresponding material scheduling is performed, the accuracy of material scheduling in the tunnel construction process is improved, and the construction efficiency is improved. And the tunnel construction efficiency is improved.

The invention discloses a cultural and creative design auxiliary system based on element fusion, which is arranged on a server and comprises an element processing module used for extracting design elements and processing and sorting the design elements; the classifying and screening module is responsible for classifying and screening to form different element categories; the creative fusion module fuses elements to generate a design scheme by using an intelligent algorithm and a user interaction interface; the design optimization module carries out fine processing on the design scheme; and the design output and display module outputs the design scheme into various formats, and provides virtual reality VR and augmented reality AR display technologies. According to the method, through automatic extraction and processing of design elements, intelligent classification and screening, auxiliary creative fusion, fine optimization and diversified output, the design efficiency and quality are remarkably improved, meanwhile, creative diversity and novelty are promoted, the workload of designers is reduced, and the innovation and market response speed of creative products is increased.

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.

Methods for generating programmable logic controller (PLC) code and corresponding systems and computer-readable mediums. A method (400) includes receiving (402) at least one specification (160) by a computer system (100). The method includes generating (404) a model-based design plan (158) based on the at least one specification (160) and a large-language model (LLM) (154) and processing (406) the model-based design plan (158) using low-rank adaption techniques (162) and the LLM (154) to produce PLC code (156). The method includes performing (408) a syntax check on the PLC code (156) and outputting (414) the PLC code (156).

Methods and apparatus operative to perform clearance analysis of design plans with relevant building deployment objectives using automated processes. The invention involves receiving a design plan, converting it into dynamic components, and generating an interactive user interface where these components can be manipulated and analyzed. The system determines design factors and parameters, such as structural elements, fixtures, and environmental considerations, and assesses clearance objectives associated with building deployment objectives. The apparatus includes a controller, processor, and display screen, allowing an AI engine to analyze the design plan.

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.

The invention discloses an underground building space interface energy regulation and control method and system based on data processing, and the method comprises the steps: generating an initial design scheme of an underground building space interface according to design parameters including the type of the underground building space interface; calculating underground building space performance indexes of the initial design scheme, and performing underground building space performance evaluation on the initial design scheme by referring to preset underground building space performance indexes; performing multi-target space performance-oriented space interface optimization design on the initial design scheme which does not reach the standard to generate an optimization design scheme of the underground building space interface; and performing underground building space performance evaluation on the optimal design scheme, and outputting the optimal design scheme of the underground building space interface which is evaluated to reach the standard. Optimization design of an underground building space interface is achieved, natural lighting, natural ventilation, energy consumption performance and the like of the underground building are comprehensively optimized, and the environment quality and the energy utilization efficiency of the underground space are improved.

Methods and apparatus operative to quantify building metrics using artificial assessment of an environmental impact, such as climate change and / or carbon control practices. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI may determine a materials list, methods of construction, distance form a supply source to a job site, supply chain variables, and other variables that are included in an environmental impact analysis. The AI may assess whether a building described in the design plans complies with a relevant environmental impact objective, such, for example, objectives relating to carbon footprint and / or climate change.

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.

Methods and apparatus are provided for automated analysis and verification of plumbing code compliance in architectural design plans using artificial intelligence (AI). The system analyzes design plans, such as floor plans or architectural drawings, to identify, classify, and evaluate the placement, type, and number of plumbing fixtures, including water closets, sinks, and showers. The AI engine assesses these fixtures against applicable building and plumbing codes, evaluating spatial relationships, clearances, and pipe configurations. Where non-compliance is detected, the system offers automated suggestions for design revisions and optimizations, providing code adherence and functional efficiency before construction begins. The apparatus includes interactive tools for real-time simulation and collaboration, enabling designers, architects, and code compliance officers to make informed adjustments to the design.

The invention provides a shell optimization method and device of an electric drive controller, computer equipment and a storage medium, and belongs to the technical field of computers. According to the method, by accurately simulating the loading state, optimization can fit the actual operation situation. And the modal optimization boundary is reasonably set, the equivalent sound power is determined and the electromagnetic excitation is loaded, so that the vibration noise characteristics of the shell can be deeply analyzed, and a scientific basis is provided for optimization. The optimization design space model is determined according to the design scheme and the whole vehicle space, and the feasibility and adaptability of optimization are guaranteed. The material density distribution is obtained through topological optimization analysis, the surface topography topological feature distribution is determined, the performance requirement is met, meanwhile, the shell lightweight design is achieved, the overall performance, reliability and economical efficiency of the electric drive controller are improved, and the product competitiveness is enhanced.

The invention relates to a design optimization method based on big data analysis, and the method comprises the following steps: carrying out the improved point recognition of clustering analysis features through an improved point recognition algorithm, obtaining an improved point set, carrying out the primary optimization of a preliminary design scheme according to the recognized improved point set, and obtaining a first optimization design scheme; predicting the market demand of the first optimization design scheme to obtain a market demand prediction result; performing value evaluation on the market demand prediction result to obtain a value evaluation result; according to the method, association rule mining is carried out on a first optimization design scheme to obtain an improved strategy, and secondary optimization is carried out on the first optimization design scheme according to the improved strategy to obtain a second optimization design scheme, so that the problem that most traditional methods are lack of systematic association rule mining and improved strategy generation mechanisms is solved; the technical problems that in the iteration process of design optimization, key improvement points cannot be accurately recognized, the optimization process is delayed, and the development cost is increased are solved.

The invention discloses a 3D printing self-adaptive wing design method based on generative artificial intelligence, and relates to the crossing field of 3D printing and artificial intelligence. In order to solve the technical problems of complex manufacturing, low reliability and large weight of a traditional process in the prior art, the technical scheme provided by the invention comprises the following steps: pre-training a large language model to obtain a trained basic model; receiving self-adaptive wing structure design parameters input by a user and generating a design scheme script; calling three-dimensional modeling software, automatically establishing a wing three-dimensional model based on the design scheme script, and outputting a model file; calling simulation analysis software, performing wing performance simulation analysis based on the model file, and outputting analysis result data; and calling the basic model to carry out design scheme evaluation and iterative optimization based on the analysis result data until an optimized model file meeting the design requirement is generated. The method can be applied to intelligent design and automatic manufacturing of self-adaptive wing structures of aerospace crafts.

The invention relates to the technical field of mechanical spindle design, in particular to a spindle precision design evaluation method and system based on big data, and the method comprises the steps: constructing an original design scheme according to a spindle precision evaluation standard of a to-be-set spindle; establishing a scheme design database, retrieving a historical design scheme similar to the main shaft precision evaluation standard in the scheme design database, and generating an iterative calculation group; establishing a scheme iteration comparison model by taking the iteration calculation group as a reference and combining with the original design scheme, and generating an optimal design scheme for the to-be-set main shaft; and performing evaluation verification on the optimization design scheme according to the main shaft precision evaluation standard, and generating a main shaft design scheme based on an evaluation verification result. By means of the method, the problems that in a traditional spindle design method, data utilization is insufficient, the optimization capacity is limited, and evaluation lacks dynamics are effectively solved, the precision and efficiency of spindle design are remarkably improved, and the trial and error cost in the design process is reduced.

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 invention provides a project full-process dynamic management method and device. The method comprises the steps of obtaining project basic information and historical project information; performing economic index evaluation on the project basic information according to a preset standard; if the economic index evaluation is passed, generating a budget file by using the project design scheme; the project design scheme is generated according to project basic information; generating project plan data according to the budget file and the historical project information; and dynamically adjusting a project construction plan by using the project plan data and the periodically acquired project progress and project cost. According to the project full-process dynamic management method and device provided by the invention, dynamic collaborative management of progress, cost and benefit in a project full life cycle is realized, the accuracy of project management decision is improved, and the cost of project construction is effectively controlled.

The invention belongs to the technical field of ship power device design methods, and particularly relates to a ship long shafting alignment optimization method based on an agent model. Comprising the following steps: determining a host operation condition investigated by shafting alignment, and obtaining alignment input parameters according to an initial design scheme of a shafting; establishing a finite element centering calculation model of the shaft system, determining an optimization target, constraint conditions and variables of multi-target centering optimization, and determining an optimization target of centering; establishing an agent model; and carrying out multi-target centering optimization calculation to obtain an optimal shafting centering scheme. According to the method, on the premise that the prediction precision meets the requirement, the proxy model is adopted to replace a high-precision finite element model, and the multi-objective optimization algorithm is combined to perform shafting alignment optimization calculation, so that a more efficient and faster alignment optimization method is provided for the technical design of the long shafting, the design efficiency is improved, and the design period is shortened.

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.

The invention relates to the technical field of interior design, and discloses an interior design method and an interior design system.The interior design method comprises the following steps: S1, multi-source data acquisition: acquiring spatial size, layout, illumination and user preference; s2, data cleaning: preprocessing data, removing redundancy and unifying formats; s3, intelligent analysis: generating a design scheme by machine learning and optimizing the layout; s4, personalized generation: automatically generating design and alternative schemes; s5, interactive optimization: user adjustment and system real-time optimization and update; s6, performing three-dimensional preview: performing virtual display, and supporting material and illumination adjustment; and S7, performing budget calculation: automatically calculating materials and cost, and generating a report. By intelligently analyzing the user preferences, the spatial features and the market trend, the design scheme meeting the user requirements is automatically generated, the design generation speed is increased, the workload of designers is greatly reduced, and the design efficiency and precision are improved.

The invention belongs to the technical field of product intelligent design, and particularly relates to a product design auxiliary system and method based on big data. According to the method, the potential design direction on the market is quickly identified through big data analysis and calculation, so that the design period is shortened, the design efficiency is improved, the risk of blind design is reduced based on market popularity data and similarity analysis, it is ensured that the designed product better meets the market demand, and the market competitiveness is improved. Through weight analysis of local features and overall features of a product, it is ensured that a design scheme is more comprehensive and reasonable, through support of big data, the designed product better meets the market trend and consumer demands, the market competitiveness of the product is enhanced, the design process is more scientific and data-driven by using the big data technology, and the design efficiency is improved. According to the method, the uncertainty caused by subjective judgment is reduced, the provided reference three-dimensional product data can provide valuable reference basis for subsequent detailed design and production, and the efficiency and quality of the whole product development process are improved.

The present invention relates to a method for providing a construction site supervision service based on AI, and the method comprises the steps of: obtaining design plan information; collecting construction site information corresponding to the design plan information; and generating supervision information on the basis of the design plan information and the construction site information. Accordingly, the method can enhance the accuracy and efficiency of supervision at construction sites and reduce maintenance costs or defect occurrence rates by improving quality across all processes of construction work types.

The invention discloses a universal 3D codebook design method and device for super-large-scale MIMO (Multiple Input Multiple Output). The 3D codebook design method comprises angle design and distance design. According to the design method, a design scheme of an angle and a distance is obtained based on a target of minimizing a correlation function. Although the angle and distance design scheme is initially designed for the near-field area, the design principle and the implementation effect of the angle and distance design scheme are also suitable for the far-field area, and the angle and distance design scheme has good universality. Compared with the existing work, the 3D codebook design theory and method can realize higher discrimination of the wave beam in each sampling angle and sampling distance, and reveals the performance gain brought by the excavation of the degree of freedom of the vertical dimension under the ideal condition.

The invention discloses an intelligent teaching design method based on educational psychology and a computer device. The method comprises the steps that a learner cognition model is constructed based on collected multi-source behavior data generated in the online learning process of a learner, teaching content and a teaching method are processed based on the model, standardized teaching content feature representation and method feature representation are obtained, and teaching hard constraint and soft constraint conditions are configured in combination with teaching scene requirements; generating a diversified teaching scheme set based on the feature representation and the constraint condition, constructing a multi-task learning framework based on the set, obtaining a multi-dimensional teaching effect prediction model based on the framework, and obtaining a teaching effect evaluation result set corresponding to the candidate teaching scheme based on the model; and optimizing the candidate teaching schemes based on the educational psychology and the teaching effect evaluation result set, and generating a personalized teaching design scheme. The method can meet diversified teaching requirements, can adapt to different learning scenes and can meet diversified requirements of learners.

The invention provides a method for realizing agent thinking framework development through computing power of an intelligent computing center. The method comprises the following steps: S1, a thinking framework development agent receives task information for constructing a target agent thinking framework; s2, determining development requirements according to the task information; s3, determining a design scheme according to development requirements; s4, generating a code of a thinking framework and a thinking process output code according to the development requirement and the design scheme; s5, deploying a running environment, debugging codes of the thinking framework and outputting thinking process information; when the debugging result does not meet the development requirement, checking the design scheme and the code, 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 development requirement is met; s6, evaluating the thinking process information, if the thinking process information does not pass the evaluation and the design scheme and the codes are checked, returning to the step S3 if the design scheme needs to be modified, and returning to the step S4 if the codes need to be modified until the thinking process information passes the evaluation; and S7, feeding back result information.