181 results about "Design specification" patented technology

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.

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.

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 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 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 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.

The invention discloses a soft soil foundation reinforcement construction quality analysis method, and belongs to the field of building construction quality analysis. According to the method, multiple types of sensors are arranged in a construction area, an unmanned aerial vehicle is used for collecting data, integration and association are performed after cloud cleaning preprocessing, a data model is constructed, an index system including mechanical properties, deformation, durability and a construction process is established, and a fuzzy comprehensive evaluation method and a BP neural network algorithm are adopted for comprehensive evaluation. An early warning mechanism is established in combination with design specifications and historical data, results are fed back to adjust construction parameters, and finally the historical data are classified and stored to establish a database. According to the method, multi-dimensional data acquisition and intelligent analysis are realized, the quality evaluation accuracy is improved, a dynamic management and control closed loop is formed, construction parameters can be optimized, and engineering experience can be accumulated.

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

The invention provides a parameterization programming method based on a hydraulic support structural part welding program, which comprises the following steps of: 1) compiling a standard series workpiece welding program template according to process parameter information of a standard series workpiece; 2) determining the number of required numerical registers according to the design specifications of the standard series of workpieces so as to match the number of variable parameters of the standard series of workpieces; (3) according to the placing position standard of the workpiece on the positioner and the layout of the robot welding workstation, a function relation between a robot world coordinate system and the characteristic points of the positioner is constructed, and assignment operation logic of a position register and a numerical value register is defined; 4) taking the changed process parameter information as position register data for updating; 5, the welding robot calls the information in the position register, and updating of the welding gun operation program parameters is achieved.The method has the advantages that hardware equipment input and external database support are not depended on, and parameterized programming is completed through internal hardware of the welding robot.

The present invention provides a method for digitizing high-speed railway subgrade cross-section design information based on graphic element features. By converting DWG files into DXF format files, basic graphic element information is extracted, and line and arc information and text information are obtained and processed. The extracted object information that may be included in the railway subgrade cross-section drawings is identified and matched based on railway design specifications and the graphic features of each extracted object. Finally, the extracted object information is stored in a database based on the name, type, attribute, and coordinates of the railway line position. The present invention can parse digital drawings of high-speed railway subgrade cross-section designs and extract the required information. The digitized information can be used to verify the drawing information and calculate the engineering quantities in the drawings. It can also provide basic data for further design.

The invention discloses a three-dimensional design model conformity analysis method and system based on a large language model, and the method comprises the steps: obtaining the related data and design specification constraint conditions of a three-dimensional design model, and building a data interaction channel through a collaborative review platform; calling a semantic geometry collaborative verification algorithm to process the data and extracting feature parameters; generating a rule adaptation weight matrix through a space rule learning adaptation model; constructing a mapping relation between the feature vector and the design specification through a CAD point cloud feature coding mapping model; carrying out multi-dimensional conformity verification on the basis of the result; and outputting the comprehensive analysis data set. The system realizes deep cooperative processing of geometric and semantic data of a three-dimensional design model through multi-unit cooperative linkage and integration of an algorithm and a platform function, improves the accuracy of rule adaptation and feature mapping, comprehensively covers a conformity verification dimension, and meets a high-precision analysis requirement in a complex scene.

The present invention provides a ship design knowledge retrieval method and system based on a multimodal knowledge graph, the method comprising: collecting and constructing a ship design set from the field of ship design; forming a hierarchical multimodal knowledge graph that describes concepts, physical properties, and design specifications in the field of ship design; enhancing the association between different modal data by vector similarity calculation; integrating the hierarchical multimodal knowledge graph into a ChatGLM model; locating knowledge nodes related to user needs in the hierarchical multimodal knowledge graph; matching and locating ship design knowledge related to user query content, and feeding back the ship design knowledge obtained by intelligent semantic retrieval to the user in a hierarchical form. The present invention realizes ship design knowledge retrieval based on multimodal knowledge graph-enhanced ChatGLM, which improves the information acquisition efficiency of engineering designers and the practical application value of the system.

The invention provides a PCB intelligent engineering design automation system and method, a module packaging configuration unit determines m module distribution strategies according to a first design schematic diagram, and a layout and wiring unit carries out layout and wiring design on corresponding function modules in the m module distribution strategies according to a first design specification and first design precision, obtaining m sample PCB sets; a performance simulation unit performs performance simulation on each PCB sample in the m sample PCB sets to obtain n performance simulation results; the comparison unit performs performance evaluation on the corresponding PCB samples according to the n performance simulation results to obtain n performance evaluation values; and the recommendation unit determines a target performance evaluation value according to the n performance evaluation values, the first design cost budget and the first performance evaluation value, and obtains a PCB sample corresponding to the target performance evaluation value, so that the PCB design cost performance can be improved on the basis of ensuring the product performance based on the PCB.

The appearance design system (10) of the elevator car is provided with a processing unit (30), and the processing unit (30) inputs design specification information related to the design of the elevator car by a user of a user terminal (50) and the like. And a design specification information selection unit that selects component information from a storage unit that stores component information indicating the design of a plurality of components constituting the lift car of the elevator, changes size-related information in the selected component information on the basis of the design specification information, and designs the lift car of the elevator on the basis of the component information in which the size-related information has been changed.

The invention belongs to the technical field of power transformer insulation design and verification, and particularly relates to a power transformer insulation characteristic data analysis and performance prediction method and system, and the method comprises the steps: constructing a structured sample set containing multi-dimensional design parameters and lightning impulse response tags based on a three-phase differential prototype; identifying key variables in the structured sample set and extracting physical consistency constraints; and inputting the key variable and the physical consistency constraint into a preset XGBoost prediction model, and outputting a prediction value and a confidence interval. According to the method, the influence of multi-dimensional parameters on the insulation impact indexes is disassembled into clear main effects and interaction effects, and a traceable mechanism map is formed. Compared with a traditional method which depends on single-point experience judgment or post trial and error, the method has the advantages that standardized data evidences and explainable output are provided, and designers can conveniently and quickly position key constraints, formulate optimization priorities and directly backfill results to design specification and parameter boundaries.

The application provides a substation civil engineering large model training method and system integrating design specifications, and belongs to the field of substation civil engineering design. The method comprises the following steps: constructing a unified substation structure diagram; obtaining a substation civil engineering design specification text and parsing it into design rule embeddings, including trigger functions, constraint functions, rule weights, and repair templates; inputting the structure diagram into a multi-modal large model to generate an initial design output representation; performing a differentiable constraint projection process on the initial design output representation based on the trigger functions, constraint functions, and rule weights to obtain a projected design output representation; verifying the compliance of the projected design output representation with the design specifications based on a symbolic verifier, and generating corresponding rule violation counterexample information when the verification fails; performing a repair generation operation on the rule violation counterexample information based on a repair generator to obtain a repair candidate design, and backflowing the repair candidate design for large model training. The application can enable the design specifications to play a constraint role in the model generation and training stages.