219 results about "Design specification" patented technology

High-level synthesis (HLS) is a complex design flow that exploits the benefit of modern language features such as loops, inheritance, templates, etc. for rapid prototyping of hardware designs. Hardware engineers explore various design space parameters in a time-consuming trial-and-error approach to meet a target design specification. This invention provides a framework where machine learning methods are integrated with Bayesian optimization (BO) to accelerate hardware design in HLS. This tool is built around the context of HLS pragma exploration and kernel transformation. It can produce best set of pragma installments to determine parameters by optimizing on multi-objective functions, such as reduction of digital signal processor, flip-flop, look-up table, power consumption, and latency. The method uses classical deep neural network and quantum neural network for reinforcement meta learning to predict the synthesis characteristics and synthesizability under a given time budget. A large language model can also assist transpilation to modify the original codes so that the best tradeoff between hardware complexity, latency, and power consumption is realized.

The invention relates to the field of chip verification, and provides a chip verification method, device and equipment, a medium and a chip. The method comprises the following steps: establishing a dynamic simulation verification environment of a to-be-verified design, and generating a plurality of test scenes and corresponding test excitation according to a design specification definition; sending the test excitation to a driver through a sequencer, converting the test excitation into a signal conforming to a to-be-verified design interface protocol by the driver, and transmitting the signal to the to-be-verified design; the monitor collects an input signal and an output signal of a to-be-verified design in real time, converts the input signal and the output signal into transactions, and transmits the transactions to the scoreboard; comparing the reference model with an output signal of the to-be-verified design to generate a dynamic simulation verification result; according to the dynamic simulation result, the state space is reduced, state space traversal is carried out on a design part which is not covered by dynamic simulation in the design to be verified, and a formal verification analysis result is generated; and evaluating the to-be-verified design according to the formal verification analysis result.

The invention discloses a BIM model structure design review method and system based on a large model, and relates to the technical field of building information modeling, and the method comprises the steps: carrying out BIM model data preprocessing based on an AI large model; adopting an AI large model built-in rule engine to perform structural design specification review on the BIM model, and automatically generating a review report based on a natural language processing technology; bIM model collision detection is executed based on a deep learning algorithm, potential structure conflicts are identified, error points are displayed in combination with three-dimensional visualization, and adjustment suggestions are provided according to historical data and an optimization algorithm. According to the method, the data quality and consistency are improved, key information in the BIM model is clearer and more concise, the accuracy of the review process is improved, potential problems in the structural design process can be found and processed in time, the overall intelligent level of the BIM model is improved, and the building design process is more accurate, intelligent and efficient.

The invention provides a potential diffusion model-based building planning image generation method and system. The method comprises the steps of data preprocessing, potential diffusion model structure improvement, input condition optimization, model training, image generation and the like. The relevance between text description and architectural styles is enhanced by preprocessing data sets of architectural design images and urban planning images and introducing channel crossing and space crossing attention mechanisms. Meanwhile, an architectural style embedding vector, an architectural description text embedding vector and a geometric information embedding vector are combined as additional input conditions to ensure that the generated image contains complete information. In a model training process, a multi-scale strategy and depth separable convolution are adopted, so that the recognition capability and training efficiency of the model to a large scene are improved. The system comprises a data preprocessing module, a model optimization module, a model training module, an image generation module and the like, and can generate a high-resolution building image conforming to design specifications. The method and system can be widely applied to the fields of building design and urban planning, and design efficiency and accuracy are improved.

A multimodal, large language model (LLM)-powered smart service specifically tailored for manufacturing quality G-Code is described. This LLM can be considered as an information encoder that compiles the information from input data of various modalities into a shared numerical representation (or embedding). The various modalities in an example database used by the LLM and / or used to train the LLM, correspond to different representations of the part under consideration, such as design specifications, G-code, and CAD models. This embedding can then be used for different downstream tasks, such as verifying, debugging, indexing, etc., of a potentially vast set of G-Code files.

The invention relates to an ocean structure three-dimensional model and two-dimensional drawing mutual conversion method and device, and the method comprises the steps: building a three-dimensional structure model, and outputting a two-dimensional engineering drawing of a specified section of the three-dimensional structure model; and the two-dimensional engineering drawing is adjusted, so that the three-dimensional structure model can be updated in time. The problems that two-dimensional drawings output by traditional ocean structure design software do not conform to design specifications, and three-dimensional models corresponding to the two-dimensional drawings cannot be updated in time after the two-dimensional drawings are modified can be solved.

The invention discloses a deep learning-based staged tension prestress long-term loss prediction method, which belongs to the field of deep learning, solves the problem of poor prediction result robustness of a traditional prestress measurement method, and comprises the following steps: obtaining bridge original data based on a standard drawing set and a bridge design specification; based on the construction environment conditions and the concrete age, concrete material attributes are calculated; based on bridge original data and concrete material attributes, finite element software is used for simulating prestressed reinforcement staged tensioning processes under different working conditions, and a bridge prestressed reinforcement staged tensioning loss data set is generated; and constructing a prestress loss prediction model based on the multi-layer perceptron neural network, processing the staged tensioning loss data set of the bridge prestressed reinforcement based on the prestress loss prediction model, and outputting a prediction result of long-term loss caused by shrinkage and creep of the prestressed reinforcement. According to the method, the stress loss of the prestressed reinforcement can be effectively predicted, and the prediction robustness and accuracy are improved.

Example embodiments may include: obtaining a design specification of a graphical user interface (GUI), wherein the design specification is compatible with a GUI design tool and includes a layout of design artifacts; generating, through use of a component mapper, respectively corresponding GUI components for the design artifacts in accordance with the layout; populating, based on properties of the design artifacts, respectively corresponding properties of the GUI components; and generating, based on the layout, the GUI components, and their corresponding properties, a deployable software implementation of the GUI.

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 engineering drawing compliance intelligent review method and system constructed based on a knowledge base and a large model. The method mainly comprises the following steps: intelligently analyzing a design specification in a natural language form by utilizing a large language model, and dynamically constructing a machine-readable rule base and a knowledge base; uniformly converting the multi-format engineering drawing into a structured intermediate format; functional areas and primitives in the drawing are recognized through a computer vision model, and natural language information describing attributes of the functional areas and the primitives is generated; and finally, in combination with the knowledge base and natural language description, performing compliance judgment by utilizing the reasoning ability of the large language model, and generating an interpretable review report. According to the method, computer vision and a large language model technology are fused, so that the defects that traditional manual review is low in efficiency and prone to making mistakes and a traditional automatic tool lacks semantic understanding ability are overcome, and efficient and accurate engineering drawing automatic compliance review with deep semantic understanding ability is achieved. Figure 1 of the abstract is a system architecture block diagram.

Disclosed in the present invention are an engineering design preamble information generation method, an information display method and a drawing examination method. In the information display method, an information display plug-in that is pre-loaded in engineering design software is called to display preamble information related to the current drawing file and intelligent information related to a target object, such that a system can automatically display related intelligent information along with a design action during the process of a user designing the drawing file, thereby implementing follow-up information display; and the user is reminded of related design specifications at any time, thereby omitting the workload caused by a designer manually searching for the intelligent information, further solving the problem of various quality incidents occurring frequently due to incomplete searching, incorrect searching, etc., caused by the designer manually searching for the intelligent information, significantly improving the design research and development efficiency, and having positive economic benefits and social benefits for automatic design and subsequent automatic production in the manufacturing industry, the building industry and the engineering industry.

The invention relates to a UVM register model automatic generation method, system and device and a medium. The method comprises the following steps: dragging a word-format design specification of a to-be-tested module of the chip into a specified directory; running the Python script, capturing the attributes of each register in the design specification and storing the attributes as a first type of table, and capturing the attributes of each register domain under each register and storing the attributes as a second type of table; and matching registers in the first type of table with corresponding register domains in the second type of table through script parameters to obtain a csv file of the to-be-tested module of the chip, namely a third type of table, and converting according to the csv file to generate a UVM register model. By adopting the method, the design specification of the to-be-tested module of the chip can be dragged into the specified directory, and the UVM register model can be obtained after the python script is operated, so that the chip verification efficiency and the register model generation and development speed are greatly improved.

The invention provides a UI interface automatic generation method and system based on natural language description, and the method comprises the steps: receiving a natural language demand description text, carrying out the guided completion of fuzzy description in the demand description text, and outputting a standardized demand text; semantic analysis is carried out on the standardized demand text, functional association nodes of UI components and data fields in the text are positioned, analysis deviation is corrected through a domain knowledge graph, and key information including component parameters, field verification rules and component priorities is obtained; calling a design specification library comprising a sub-scene visual standard and a dynamic layout algorithm, and a component library comprising a parameterized configuration function; performing component matching and parameter adjustment based on the key information, a design specification library and a component library to obtain a target component, and generating a front-end code or a low-code blueprint of the target component; and rendering to obtain a UI interface. According to the method and the device, the problems of low demand transmission efficiency, high development threshold and difficulty in multi-terminal adaptation in the prior art are solved.

The invention discloses a method and system for generating an engineering design specification based on a large language model, and the method comprises the steps: converting a plurality of formats of engineering documents into structural data through a non-structural document analysis module, and carrying out the multi-modal storage through a vector database and a relational database; a document recall module is combined with an expert predefined generation strategy and user input information to intelligently retrieve related materials from a vector database; and finally, calling a large language model through a document generation module to rewrite, expand or independently generate recalled contents, and outputting a highly customizable design specification which conforms to engineering specifications. According to the method, the efficiency, accuracy and specialty of engineering design document generation are remarkably improved, multi-section concurrent generation and manual fine adjustment are supported, and the method is suitable for multiple engineering stages such as project proposal, feasibility research report and construction drawing design.

The invention relates to a special equipment quality control digital governance data demand identification method based on a rooting theory. The method comprises the following steps: obtaining special equipment quality control related data; wherein the quality control related data of the special equipment comprises design specifications, manufacturing logs, inspection reports and operation and maintenance records; performing text analysis on the quality control related data of the special equipment based on a rooting theory three-level coding technology to generate a feature item list; extracting special equipment quality control demand keywords and keyword related vocabularies from the feature item list to obtain a keyword related vocabulary list; and classifying the keyword related vocabulary list, and aggregating different categories of keywords and related vocabularies to form a special equipment quality control data demand list. According to the invention, accurate identification and digital management of quality control data requirements of the special equipment are realized.

The invention relates to the technical field of engineering design intelligent review, and discloses an engineering design specification review method based on a multi-modal large model, and the method comprises the steps: building engineering design structured information based on the multi-modal data standardization of an engineering drawing, a specification text, an engineering design data table and an engineering design calculation book; according to the engineering field type identification information, in combination with an AI intelligent identification algorithm and an engineering design review multi-modal large model program based on big data storage, carrying out intelligent and accurate construction of a multi-modal large model program required by engineering design specification review; based on engineering design object feature information, engineering field type identification information and engineering design drawing type analysis information, an AI intelligent identification algorithm and a scientifically stored engineering design review comprehensive graph are combined to accurately construct a comprehensive knowledge graph required by engineering design specification review. The engineering design specification review comprehensive knowledge graph is intelligently matched based on the engineering design review scene, and the quality of engineering design specification review is improved.

The invention discloses an old block three-dimensional form intelligent updating optimization method based on rigid-flexible rule driving. The method comprises the steps of collecting vector data of a target old block and design specifications and standard text data of a city where the target old block is located; establishing a rule map of urban design rigid industry specification requirements; a Mask R-CNN coding technology is used to automatically label vector data of a space structure, a function layout, a road system and a blue-green system of the design, a knowledge graph of a classic city design result rule is formed, and a rule graph oriented by city design flexible professional knowledge is established; establishing multi-layer network association of an old block three-dimensional morphological graph network, a rigid rule graph and a flexible knowledge graph; and outputting the optimized three-dimensional form scheme of the target old block to a space holographic sand table, and finally outputting an optimized three-dimensional form graph network and a visualization scheme of the old block. According to the method, the three-dimensional form of the old block can be optimized based on rigid rule and flexible knowledge hybrid driving.

The invention relates to the field of wind power generation tool design, in particular to a tool parameterization rapid design platform and method for a wind power generator, the tool parameterization design platform is established on UG software, secondary development is carried out based on the UG software, and an incidence relation is established with a TC platform; the tool parameterization design platform comprises a tool parameterization design specification module and a tool parameterization design knowledge base, the tool parameterization design specification module and the tool parameterization design knowledge base are stored in a TC platform, and the tool parameterization design specification module and the tool parameterization design knowledge base are called to achieve the tool parameterization design specification module and the tool parameterization design knowledge base. And parameterization design of the wind power generator tool is realized. By setting the tool parameterization rapid design platform of the wind power generator and the corresponding design method, the incidence relation between the tool design of the wind power generator and the product model is established, linkage control over the key size and the design size of the tool model is achieved, the design process is optimized, and the tool design efficiency is improved.

The invention relates to the technical field of computers, is applied to the field of financial business science and technology, and discloses a webpage generation method, device and equipment based on a large model and a storage medium. The method comprises the steps that by designing the large model, initial design elements and initial design attributes, a target interaction mode and a target component are determined; and generating a target webpage according to a dynamic optimization mechanism, the target interaction mode and the target component. By means of the mode, manual cooperation between a designer and a developer is reduced through automatic design draft analysis and code generation, the requirement for later manual debugging is reduced, and the initial quality of codes is improved. The pre-trained large design model can understand and generate codes conforming to financial industry design specifications, and the standardization degree is improved. Accurate implementation of the design intention is ensured through an accurate analysis algorithm and large model training, and therefore the efficiency of generating the webpage according to the actual demand of the user in the financial field is improved.

The invention discloses an interface design specification evaluation-oriented image-text large model fine tuning method and a related device, and relates to the technical field of man-machine interaction. According to the method, a software interface design specification list oriented to an image-text large model is formulated by researching existing software interface design specifications; based on this, a comprehensive image-text pair data set on an interface design specification evaluation task is constructed, and an image-text large model for software interface design specification evaluation is established through fine tuning of a general image-text large model, so that intelligent evaluation of software interface static design specifications is realized. The intelligent evaluation result output by the model can provide intelligent auxiliary decision making for software interface developers, the optimization of software interface design specifications is promoted, and the user interaction experience is improved.

The invention relates to the technical field of building intelligent management, and discloses a BIM-based indoor optimization design method and system, and the method comprises the following steps: a) building a building information model through BIM software, and collecting the space size, material parameters, structure parameters, environment data and user demand data of a building; and b) an indoor space optimization target is set according to design specifications and user requirements, design constraint conditions are formulated, and the design constraint conditions comprise building specifications, fire protection requirements, human flow lines, functional requirements and ergonomic parameters. According to the invention, through multi-source data fusion, high-precision and low-delay data acquisition is realized; through hybrid modeling, the balance between the accuracy of energy consumption prediction and the calculation efficiency is realized; through reinforcement learning and fuzzy control, adaptive optimization of building environment adjustment is realized; through the modular architecture and the block chain, high expansibility and data security of the system are realized.

The invention provides a ship structural strength digital simulation verification method and device. The method comprises the following steps: constructing a three-dimensional digital model of a ship structure according to a ship design drawing and a design specification; setting load and boundary conditions according to the operation environment and design requirements of the ship; carrying out finite element division on the constructed three-dimensional digital model by adopting finite element analysis software, and carrying out finite element analysis calculation according to set load and boundary conditions to obtain mechanical responses of stress and strain of the ship structure; and according to a finite element analysis result, checking and evaluating the structural strength of the ship, and if the requirement is not met, carrying out optimization design on the three-dimensional digital model, and carrying out finite element analysis and strength checking again. The problems that an existing ship structure strength checking method is insufficient in model precision, low in calculation efficiency and not high in checking result credibility are solved.

The invention provides an automatic software development system based on multi-agent cooperation, and the system comprises a demand analysis agent which is used for receiving a natural language demand input by a shared working area, generating a demand specification document containing an acceptance standard based on the natural language demand, and sending the demand specification document to the shared working area; the detailed design agent is used for receiving a demand specification document input by the shared working area, performing system design based on the demand specification document, generating a design specification document and sending the design specification document to the shared working area; the project development agent is used for receiving a design specification document input by the shared working area, performing code development based on the design specification document, generating an executable code and sending the executable code to the shared working area; and the shared working area is used for storing and forwarding the natural language demand input by the user and the output of the demand analysis intelligent agent, the detailed design intelligent agent and the project development intelligent agent. The development efficiency can be improved, the labor cost is reduced, and the software quality is improved.

The invention relates to an electronic product PCB design system and method. In the system, a data preparation and knowledge base construction module is used for collecting, cleaning and de-duplicating multi-source PCB design data and constructing a comprehensive PCB design knowledge base; the polymorphic large model construction and training module adopts a hybrid neural network based on a transformer architecture, and constructs a polymorphic large model with a cross-modal reasoning capability by jointly training a schematic diagram semantic understanding model, a layout topology optimization model and a signal integrity prediction model; the intelligent auxiliary Agent module is used for integrating a reinforcement learning agent and a rule verification agent, and providing a wiring path optimization suggestion, element type selection recommendation and design specification compliance detection in real time; and the system integration module is used for automatically designing the generation module and converting the optimization scheme output by the polymorphic large model into a final PCB design file. The system can improve the design automation level.

The invention discloses a multi-dimensional test case generation method and device, and relates to the technical field of test case generation, and the method comprises the steps: building a unified causal diagram model through analyzing a schematic circuit diagram, designing a constraint document, simulating data and other multi-source inputs according to the verification demands of a complex electronic system, and automatically generating a multi-dimensional test case, the technical problems that in related technologies, model type dependency is high, natural language constraint analysis operation is lacked, schematic diagrams, design specifications, signal integrity simulation and other data generated in the design stage exist in an isolated mode, overrun scenes are ignored, and the scene coverage local limit is high are solved, and the purpose that multi-source design data are fused, so that the design efficiency is improved is achieved. The unified causal graph model is constructed, and the complete expression of the design intention and the dominance of the implicit knowledge are realized, so that the technical effects of remarkably improving the coverage range of the test scene and the utilization efficiency of the test resources are achieved.

The invention discloses a transformer substation digital model dynamic arrangement method and system based on data element driving, and belongs to the field of transformer substation three-dimensional digital design. The method comprises the following steps: firstly, constructing a structured data element library containing equipment interfaces, arrangement control and interval template elements; control elements are arranged to convert requirements such as a safe clear distance and an operation and maintenance channel in a design specification into computable vectorization constraints. And a data basis for driving the three-dimensional model to be automatically generated is formed by establishing association mapping among elements. The method comprises the following steps: acquiring a voltage grade, a main wiring structure and a site size input by a user, intelligently matching an interval template, automatically generating a three-dimensional arrangement model meeting a safety distance requirement based on constraint solution, and automatically completing conductor type selection, calculation and connection according to a predefined topological relation. According to the method, by constructing a complete parameterized and vectorized data element system, the full-process automatic intelligent design of the power distribution device from layout to connection is realized, and the design quality and efficiency are improved.

A method for automatically generating a research and development proposal for an in vitro diagnostic kit, performed by a server for automatically generating the research and development proposal, includes: acquiring an initial proposal including intended use information for the kit; providing the acquired initial proposal to a pre-trained language model; acquiring a specification (spec) for the kit from the language model receiving the initial proposal, wherein the acquired specification for the kit includes at least one of a technical specification to be used for the research and development of the kit, a resource specification for the research and development, a design specification for the kit, a regulatory approval specification that is needed to meet for approval, and a performance specification for the kit; and controlling to generate the research and development proposal for the kit including the acquired specification and the intended use information for the kit.

A user interface testing system employs an AI-assisted description generator and an AI-assisted test engine to test various visual features of a user interface with respect to the design specification of the user interface. In an aspect, the AI-assisted test engine is given a natural language description of the implementation snapshot of the user interface and a natural language description of the visual feature being tested and determines whether or not the implemented user interface contains design defects. The AI-assisted description generator produces the natural language description of the implementation of the user interface from a snapshot of the implementation and produces the natural language description of the visual feature from a snapshot of the visual feature.

The embodiment of the invention discloses a normativity checking method and device for model design, a storage medium and terminal equipment, and relates to the field of software design. The method comprises the steps of obtaining a model design specification document of a research and development project, and generating a specification knowledge base according to the model design specification document; the model design specification document comprises a plurality of model check rules; constructing a training set according to the standard knowledge base; training the large model by adopting pre-training and fine tuning modes based on the training set; the trained large model is utilized, a to-be-checked model in a research and development project is processed, then a check report is output, and the check report comprises problem description information and modification suggestion information through the steps of building a standard knowledge base, generating a training set, training the large model in a pre-training and fine tuning mode, automatically outputting the check report and the like. The defects of efficiency, consistency and flexibility of a traditional model design normative checking mode are effectively overcome.

The invention relates to the technical field of computer aided design and visual computing, and provides a visual communication design evaluation system and method based on data analysis. The method comprises the following steps: acquiring original design data, and extracting a spatial layout feature matrix, a color distribution feature vector and a semantic content feature set; calling a design specification knowledge base based on the design purpose information; performing simulated attention distribution analysis and design compliance analysis to generate corresponding features; constructing a transmission efficiency prediction model to generate a comprehensive transmission efficiency score and an initial design evaluation report; performing interference effect joint analysis to obtain a comprehensive interference effect quantitative evaluation result; and performing efficiency optimization correction on the initial design evaluation report based on the result, and outputting a final design evaluation report integrating spatial layout and visual attribute optimization suggestions. According to the method, the interference effect is accurately quantified through conjoint analysis of spatial layout and semantic attributes, and the accuracy and reliability of design conveying efficiency evaluation are improved.