254 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 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.

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).

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 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.

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 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 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 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.

The invention relates to the technical field of home decoration design, and particularly discloses a home decoration plane automatic design method and device, and the method comprises the steps: obtaining home decoration demand data and house basic information inputted by a user, and automatically carrying out the space division of a house room based on an architecture principle and a particle swarm optimization algorithm, and generating a preliminary room layout map; based on the room layout map, analyzing historical design cases and home decoration demand data, and utilizing a deep learning algorithm to generate a plurality of preliminary design schemes; adjusting the generated preliminary design schemes according to style preference input by the user to generate a plurality of optimization design schemes; according to the method, the architecture principle and the particle swarm optimization algorithm are combined, house space division is automatically carried out, the initial room layout diagram is generated, and errors and inconsistency in the manual design process are avoided; historical design cases and home decoration demand data are analyzed by using a deep learning algorithm, a plurality of preliminary design schemes are designed, and the individuation degree and diversity of the design are improved.

The present invention is directed to a system and method for displaying interior design proposals for a given room according to known design principles and user preferences. The system is operative to convert user-input sketches and / or blueprints of two-dimensional space geometry into digital floor plans and identify and propose blocks of appliances and / or articles of furniture as design elements defined by their dimensions and any limiting characteristics. Each block is functionally and dimensionally appropriate for the floor plan based on user preferences, as filters, and floor plan limitations and may be defined by minimum space requirements, anchor point restrictions, and configuration restrictions. The system and method may further comprise visual tools for conveying a user's creative taste, style, and aesthetic for each floor plan, and be operative to display hyperlinked shopping lists in accordance with filtered blocks of design elements.

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 belongs to the field of computer aided design, and particularly relates to a design scheme generation method based on artificial intelligence assistance. The method comprises the following steps: firstly, collecting historical design cases, user demands, market feedback and product performance data, constructing a multi-field database, and processing and marking; and then generating a design scheme by adopting a generative adversarial network, and ensuring the quality of the scheme by carefully designing an architecture model, a loss function, introducing condition information, an alternative optimization strategy and an evaluation index. Meanwhile, constraint processing is carried out, an inspection module is arranged after output of the generator, evaluation and correction are carried out according to constraint conditions, discriminator standards are included during training, the generator is punished when the criteria are not met, and inspection is carried out again when final confirmation is carried out. And finally, sorting user feedback by utilizing a dynamic feedback mechanism, determining priorities according to scores and suggestions, and dynamically adjusting the scheme according to the priorities. According to the method, many defects of an existing design scheme generation mode are effectively overcome, the design efficiency, the innovation ability and the scheme quality are improved, and the method has important application value.

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 contact channel freezing method micro-reinforcement construction method and a control mechanism thereof.The construction method comprises the steps that S1, freezing pipes are arranged and installed, specifically, the freezing pipes are arranged around a contact channel according to a design scheme, it is ensured that the freezing pipes can uniformly cover a construction area, and the freezing pipes are installed and fixed; s2, a freezing liquid injection and freezing process: injecting a freezing liquid through a freezing pipe to gradually freeze the surrounding soil body to form a freezing wall, and meanwhile, monitoring the thickness and strength of the freezing wall in real time to ensure the freezing effect; s3, micro-reinforcement treatment is conducted, specifically, after the frozen wall is formed, a micro-reinforcement technology is used for conducting precise reinforcement on micro cracks and soft areas in the frozen wall; and S4, freezing wall melting and subsequent construction: after construction of the connection channel is completed, injection of the freezing liquid is stopped step by step, so that the freezing wall is gradually melted, and subsequent construction and ending work are carried out. According to the invention, the accuracy and safety of the construction process are ensured.

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 provides a table and chair remote management method based on a smart home platform, and the method comprises the steps: building a table and chair three-dimensional model, and obtaining key structure points and outer contour line coordinate information of tables and chairs through the analysis of the three-dimensional model; a computer vision algorithm is adopted to analyze the home space image, main vision elements in the home space are extracted, the space relation and vision coordination between the vision elements are judged, and a home space vision feature graph is generated; dynamically adjusting the size, the shape and the color of the table and chair hidden contour according to the calculated optimal position and the shape parameter, so that the table and chair hidden contour is coordinated with the surrounding environment, and generating an initial design scheme of the hidden contour; the optimized hidden contour design scheme parameters are transmitted to an intelligent control system, training is carried out through a machine learning algorithm in combination with historical design scheme data, and dynamic adaptation of the table and chair hidden contour and the surrounding environment is achieved.

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.