616 results about "Design process" patented technology

The invention discloses an optimal design method and system for foundation pit supporting, and aims to improve the design efficiency and safety of a supporting structure, collect on-site landform and soil physical and mechanical parameters, evaluate the influence of foundation pit excavation on the surrounding environment, analyze geological disaster risks, formulate preventive measures and select a proper supporting structure type. Finite element analysis software is used for simulating the performance of different supporting schemes, monitoring equipment is installed to monitor the state of a foundation pit in real time, a machine learning algorithm is used for establishing a prediction model, a design scheme is adjusted according to monitoring data, the final performance of a supporting system is evaluated, abnormal conditions are recorded, and the design process and the construction method are continuously improved according to project feedback. According to the method, a data acquisition and processing module, a design decision support module, a numerical simulation and optimization module, a monitoring and feedback control module, a construction management module and a later evaluation and feedback module are integrated, a closed-loop optimization design system is formed, key problems in support design are solved, and engineering efficiency and safety are remarkably improved.

The invention relates to the technical field of building design, and discloses a BIM (Building Information Modeling) creation method based on a parameterization technology, which comprises the following steps: obtaining building project parameters, setting parameterization rules, generating a parameterization model framework, optimizing multi-level parameters, generating an intelligent BIM, verifying and simulating a model and automatically generating a construction scheme. According to the BIM creation method based on the parameterization technology, through collection of multi-dimensional parameter information, intelligent rule optimization, a multi-target optimization algorithm, comprehensive simulation verification and automatic construction scheme generation, high customization, real-time environment adaptability, intelligence and efficient cooperation of building design are achieved. According to the method, the design efficiency and quality are improved, and the optimal performance of the building in the aspects of structure, material, energy efficiency, construction and the like is ensured. Through the application of the block chain technology, the system further guarantees the security and transparency of the data, and guarantees the traceability and consistency of the design process.

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 Web-based MBSE collaborative research and development management system, which belongs to the field of model-based system engineering and comprises a demand center used for managing demands generated in a system development process and supporting system models, simulation data and demand entries to trace; the model center is used for managing model data generated in a system development process taking a demand as an input; the simulation center is used for calling and executing each model and recording simulation configuration, simulation tasks and simulation result data; the document center is used for extracting data and automatically generating and managing various documents; the digital clue is used for managing digital clue data of the MBSE and displaying an association tracing relation of data in a forward design process based on a model; and the project management module is used for managing the information of the MBSE research and development project. According to the method, a model-based system digital research and development process is realized, team cooperation efficiency and product design quality are improved, and tool support is provided for complex product MBSE activities.

The invention discloses a product collaborative design management method and system based on data driving, and relates to the technical field of product design management, and the method comprises the steps: constructing a double-flow heterogeneous quantitative collection network; establishing an incidence matrix and calculating dynamic coupling strength among the parameters; designing a recursive deep belief network based on the incidence matrix and the dynamic coupling strength, encoding product structure parameters and design process data into a probability graph model, and constructing a design knowledge base; dynamically distributing the design rules in the design knowledge base by adopting a swarm intelligent optimization algorithm, generating a collaborative decision-making unit, and establishing a constraint propagation link; and generating a multi-target collaborative optimization scheme group, and screening an optimal scheme group based on Pareto frontier. According to the invention, omnibearing acquisition of product structure parameters and design flow data is realized through the double-flow heterogeneous quantitative acquisition network, and the data integrity is improved.

The invention discloses a model construction method and system based on indoor decoration interactive design, and relates to the technical field of intelligent design, and the method comprises the steps: generating a diversified design sketch through an AI generation tool, collecting customer feedback data, determining customer demands, and generating a basic design scheme; creating an interactive ecology home 3D model by using a parameterized design tool, and adjusting a basic design scheme according to customer requirements; based on the adjusted basic design scheme, optimizing visual requirements of the basic design scheme through a V-Ray rendering engine; based on visual requirements, acoustic simulation software and a sensor are utilized to analyze spatial acoustic performance, ecological integration is completed, and intelligent control and AR interaction of an ecological environment are performed in combination with IoT and a user interface. According to the method, the interactive ecology home 3D model is combined with the AI generation tool, the parametric design, the V-Ray rendering engine, the biological feedback technology, the acoustic simulation software and the IoT and AR application, so that an efficient, flexible and personalized design process is realized.

The invention belongs to the technical field of AI design tools, and particularly relates to an intelligent design method for an interactive evolution graph based on GNN and LLM. According to the method, the design process of a mature designer is quantified through a graph neural network (GNN), the relation and dynamic change between design steps are captured, more comprehensive design thought reference is provided for a green designer, compared with a traditional linear method, the method is more flexible and accurate, the interaction ability of a large language model (LLM) is combined, and the design efficiency is improved. A novice designer can interact with the system through a natural language, adjust an interactive design drawing in real time and perform self-adaptive optimization according to feedback, so that the guide design process is more efficient and meets requirements, an interactive tool is constructed by utilizing a design data set of a mature designer, the novice designer can directly refer to and learn the design thought, and the design efficiency is improved. And the design efficiency and quality are obviously improved.

The invention discloses a digital back-end full-process script design method, and relates to the field of digital integrated circuit design, and the method comprises the steps: receiving an RTL behavior level netlist, a process library file and a constraint file as input, and generating a library configuration file valeeb.tcl; a gate-level netlist and a corresponding comprehensive report are generated by using a library configuration file valerib.tcl; performing logic synthesis according to the behavior level netlist and the make syn to generate a gate level netlist, and generating layout and wiring data through make out; according to the layout and wiring data, antenna inspection is carried out through a make ant command, design rule inspection is carried out through a make drc command, and comparison inspection of a generated layout and a schematic diagram is carried out through a make lvs command; performing power consumption analysis according to the layout and wiring data; and performing IR analysis according to the parasitic parameters. Aiming at the problem that the chip digital back-end design process is low in efficiency in the prior art, the design efficiency is improved.

The invention provides a method, device and equipment for generating a testability design architecture and a storage medium, and belongs to the technical field of testability design, and the method for generating the testability design architecture comprises the steps: obtaining project information in a design plan of a to-be-tested chip; analyzing the project information into testability design DFT architecture planning data of a standard data structure; and from DFT architecture planning data, module data is obtained according to a module hierarchical structure, and a DFT architecture is obtained through planning. According to the method and the device, the required DFT architecture planning data is obtained through analysis according to the project information in the design process of the to-be-tested chip, and then the DFT architecture is automatically planned according to the hierarchical structure of each module without depending on artificial experience, so that the design efficiency is improved, and the error rate is reduced.

The invention discloses an MBSE-based air inlet test control device modeling method. The method comprises the following steps: S1, carrying out operation analysis; s2, system design; s3, component design; s4, constructing a Refine traceability matrix from the component demand to the system layer design and a Derive-Request traceability matrix from the component demand to the system demand, and constructing a Refine traceability matrix from the system demand to the operation analysis layer design and a Derive-Request traceability matrix from the system demand to the user demand; and S5, constructing a demand meta-model and an interface meta-model, and carrying out meta-model replacement according to an actual interface of the system. According to the method, the defects caused by a document-based system design method in the previous design process are effectively overcome, and tight combination of system design and requirements is ensured. According to the method, the readability of the model is greatly enhanced, the ambiguity problem caused by numerous elements is avoided, the repetitive work is reduced, the system iteration process is simplified, and the development period of the system is shortened.

The invention discloses a large model cue word intelligent design and verification system supporting multi-person cooperation, which designs cue words in a manner of cue word project management and multi-person cooperation to realize specialized design of the cue words. The difficulty of cue word design is simplified by using AI aided design; the operation stability and accuracy of cue words in different models and different computing power are verified through single-point testing and batch testing, so that cue word verification and iteration form a closed loop, and the cue word quality is improved; after the cue word is published, directly outputting an interface with an access key for external calling, and storing the interface as a cue word case into a cue word knowledge base; compared with an existing system and technology, the cue word version management difficulty is effectively reduced, the workload of cue word designers is reduced, the cue word quality is improved, and the risk of cue word asset loss is reduced.

The invention discloses an automatic integrated system from an asynchronous pipeline to an asynchronous circuit, which adopts a modular architecture, takes a high-level structure description file in a JSON / XML format as input, and gradually maps to generate a gate-level netlist and a standard delay format file so as to be in butt joint with a commercial back-end design process. According to the method, asynchronous design based on an asynchronous structure can be automatically mapped into an asynchronous circuit, the automatic mapping process can seamlessly process multi-level design representation, the mapping result is stable and cooperatively operated, asynchronous circuit time sequence detection and delay matching are automatically completed, the design efficiency is greatly improved, and the design cost is reduced. An automatic delay matching mechanism enables the circuit to have a good data ready detection and handshake mechanism, and the characteristics of low power consumption, high throughput and no global clock drift sensitivity are realized; in addition, automation of asynchronous design key links such as structure abstraction, time delay modeling and testability insertion is achieved while design readability, hierarchical consistency and time sequence controllability are guaranteed.

The invention discloses a material attribute acquisition method and system based on a large language model and a BIM, and relates to the technical field of digital intelligent buildings. The method comprises the steps that building model information is acquired from a BIM platform, and the building model information comprises component types, component names, component material names, design styles and color preferences; selecting a matched format template according to the building model information, and generating a cue word text containing key information; the cue word text is analyzed and mapped based on a large language model, detailed attribute description about component materials is obtained, and the detailed attribute description comprises RGB color values, transparency, roughness, metallicity and specular reflection intensity; the detailed attribute description of the component material is applied to the model display of the BIM platform, and the corresponding display effect picture is previewed, generated and exported, so that the working efficiency and quality of endowing the building model component with the material are improved, and the flexibility and automation degree of the design process are improved.

The invention discloses a conflict resolution method for an open avionics architecture. The method comprises the following steps: constructing an avionics field standardized ontology model, an entity type, a semantic relationship and a constraint rule; the entity types comprise a standard type, a resource type, an interface type and a security type; the semantic relationship comprises inclusion, inheritance, compatibility, dependence, conflict, constraint and version evolution; the constraint rule comprises version consistency, function interoperability and performance index constraint; building a multi-standard library based on the knowledge graph; and through a conflict detection and resolution mechanism, standard conflicts possibly occurring in the open avionics architecture design process are identified and eliminated. According to the method, unified modeling, multi-standard library construction and semantic level conflict detection and resolution of the multi-source heterogeneous avionics standard are realized.

The invention belongs to the technical field of structural engineering knowledge management, and relates to an aircraft typical structural member intelligent algorithm integration application platform which is associated with a knowledge base and a database of typical structural members and comprises an application end and a management end. The application end comprises a part type selection module, a positioning element selection and parameter input module, a model preview and installation module and a model evaluation scoring module; the management end comprises a design knowledge and data access module, an algorithm management module and a template management module; a designer can call an algorithm designed by an algorithm designer at any time to complete and verify the model in the process of designing the model, and an algorithm designer can verify and correct the algorithm through a newly designed model, so that dual optimization of the model and the algorithm is realized, and the algorithm design efficiency is improved. The design efficiency of typical structural parts and functional algorithms is effectively improved, resources are saved, and meanwhile integrated management of the functional algorithms and models is achieved.

Various systems and methods are presented regarding a threat analysis and risk assessment (TARA) system for implementation during design of a device, such as a software-defined vehicle. The system can be implemented across a manufacturing organization and combines knowledge from a range of entities, e.g., software programmers, hardware designers, network designers, and suchlike. Items and assets can be utilized to define respective features of components, e.g., defining software functionality, electronic control unit (ECU) configuration, a communication network connecting one or more ECUs and various signal inputs / outputs, etc. By representing components / features as items and assets, knowledge regarding potential / actual threats (e.g., cybersecurity attack(s)) can be respectively applied, damage scenarios and mitigation identified, threat risks assessed and reduced, with the whole system iteratively updated in response to newly derived configurations and knowledge regarding component of interest. Respective entities can apply their knowledge to supplement knowledge across the system, enabling interaction from multiple sources.

The invention discloses a rigidity determination method, device and equipment of a transmission shell assembly and a medium, and belongs to the technical field of computer-aided engineering.The method comprises the steps that on the basis of a three-dimensional geometric model of the transmission shell assembly, the rigidity of the transmission shell assembly is determined according to the analysis requirement of the transmission shell assembly; establishing a shell assembly finite element model corresponding to the transmission shell assembly; configuring the finite element model of the shell assembly to obtain a finite element calculation file; analyzing the finite element calculation file through a target solver selected by a demand side to obtain a rigidity analysis result of the transmission shell assembly; and determining whether the rigidity of the transmission shell assembly is qualified or not according to a rigidity analysis result. According to the method, physical tests are not needed, the research and development period of the transmission shell assembly is shortened, the material cost in the optimization design process of the transmission shell assembly is reduced, the reliability of the transmission shell assembly is guaranteed, and therefore the overall performance and reliability of a transmission are improved.

The invention relates to a silicon photonic interlayer coupling structure design method based on an artificial neural network, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a plurality of interlayer coupling structure data sets, performing normalization processing on the interlayer coupling structure data sets, and dividing the data sets; constructing a back propagation neural network; in the design process, a self-adaptive genetic algorithm is used for optimizing the weight and the threshold value of the back-propagation neural network; using a training set to train the back propagation neural network model; coupling structure parameters are input into the trained model, a coupling efficiency value is output, and whether the coupling structure meets design requirements or not is judged according to the coupling efficiency value; and continuously adjusting the structural parameters until the design requirements are met. According to the method, the design time of the interlayer coupling structure is shortened, the design difficulty of the interlayer coupling structure is reduced, and automation and intelligence of the design of the interlayer coupling structure are realized.

The invention provides a digital-analog hybrid circuit design method, device and equipment and a storage medium, and the method comprises the steps: constructing a simulation auxiliary unit library for a simulation module needing to be used in a digital-analog hybrid circuit; in the RTL (Register Transfer Level) design stage, the digital standard cell library and the analog auxiliary cell library are called to carry out digital-analog hybrid circuit design, and a digital-analog hybrid circuit is obtained; automatically generating a layout of the digital-analog hybrid circuit through a digital back-end tool; and after physical verification and parasitic parameter extraction are carried out on the layout of the digital-analog hybrid circuit, post-simulation verification is carried out. Therefore, layout generation of the digital-analog hybrid circuit can be automatically completed, a schematic diagram and a layout of a top layer do not need to be completed manually, the design process is greatly simplified, and the design period is shortened. For a process migration scene, only a small number of simulation auxiliary units need to be redesigned, codes of other digital parts can be reused and rapidly modified, and the designed process migration efficiency is improved.

A BIM-based virtual template design system, comprising a BIM modeling module, a database management module and a simulation module, the BIM modeling module being used to construct a template component model, the database management module being used to store data information of a template component, and the simulation module being used to combine component models to form a complete scheme template. The present system can design a virtual template scheme in a virtual space using a BIM model, and a collision relationship and a stress relationship can be detected and prompted in real time during the design process, to ultimately obtain a three-dimensional display scheme that can be implemented, so that a decision maker can conveniently understand the scheme design more accurately, and the design requirements of customers are met.

The invention discloses a macro definition processing method for a hardware description language and related equipment. The macro definition processing method comprises the following steps: acquiring a target file in a header file of a specified hardware description language; judging a target macro name corresponding to each conditional compiling instruction in the target file, if a macro name which is the same as the target macro name exists in a preset parameter data structure, storing a code block behind the target macro name, processing a macro value in the code block, and generating a processed code block; if the processed code block contains the conditional compilation instruction, continuing to perform macro name judgment, code block storage and macro value processing operation on the processed code block until the code block processed for multiple times does not contain the conditional compilation instruction any more; and macro definition extraction is carried out on the code block after multiple times of processing so as to obtain all macro definitions in the code block. According to the technical scheme, the code reusability and the development efficiency in the hardware design process can be improved.

Disclosed are a quick simulation and optimization method and system for analog circuits. Aiming at a problem that a customized circuit model is difficultly modeled in a design process of the analog circuit, and the problem of a low circuit design efficiency caused by a slow electromagnetic field simulation speed, the invention proposes to firstly construct a device library, build a circuit and interconnect an AI network to obtain a comprehensive network parameter of the AI network; the comprehensive network parameter in a simulation process is compared with a network parameter target of an analog circuit, and an circuit layout of the analog circuit corresponding to the AI network is output to a three-dimensional full-wave electromagnetic field simulation tool for simulation and verification when requirements are met.

The invention discloses a method and a system for generating service fulfillment data communication configuration and arrangement based on an AI agent, and the method comprises the following steps: the AI agent analyzes a problem proposed by a user in combination with an LLM to extract keywords, assembles the keywords in combination with a user Prompt project, carries out RAG retrieval query in a local knowledge graph by using TEXT-to-Cypher, and if the query exists in the knowledge graph, carries out RAG retrieval query by using the TEXT-to-Cypher, carries out RAG retrieval query by using the TEXT-to-Cypher, and carries out RAG retrieval query by using the TEXT-to-Cypher; if yes, carrying out RAG (Random Access Gateway) enhanced system Prompt engineering; the AI agent is combined with workFlow to perform task decomposition according to the questions proposed by the user and the related information of the enhanced systemPrompt engineering template content, and answers are constructed; the AI agent calls an orchestrator according to the generated design process content and orchestrates an API in an atomic power library of configuration content required by service opening; and starting a dynamic parameter generation code and a jar packet of the API interface according to the configuration issued by each link of the service. According to the method and the system, when various services are opened, the data communication configuration arrangement content is automatically generated, the external API interface is automatically generated, and a developer only needs to finely adjust the code generated by the AI agent.

Various systems and methods are presented regarding a threat analysis and risk assessment (TARA) system for implementation during design of a device, such as a software-defined vehicle. The system can be implemented across a manufacturing organization and combines knowledge from a range of entities, e.g., software programmers, hardware designers, network designers, and suchlike. Items and assets can be utilized to define respective features of components, e.g., defining software functionality, electronic control unit (ECU) configuration, a communication network connecting one or more ECUs and various signal inputs / outputs, etc. By representing components / features as items and assets, knowledge regarding potential / actual threats (e.g., cybersecurity attack(s)) can be respectively applied, damage scenarios and mitigation identified, threat risks assessed and reduced, with the whole system iteratively updated in response to newly derived configurations and knowledge regarding component of interest. Respective entities can apply their knowledge to supplement knowledge across the system, enabling interaction from multiple sources.

Various systems and methods are presented regarding a threat analysis and risk assessment (TARA) system for implementation during design of a device, such as a software-defined vehicle. The system can be implemented across a manufacturing organization and combines knowledge from a range of entities, e.g., software programmers, hardware designers, network designers, and suchlike. Items and assets can be utilized to define respective features of components, e.g., defining software functionality, electronic control unit (ECU) configuration, a communication network connecting one or more ECUs and various signal inputs / outputs, etc. By representing components / features as items and assets, knowledge regarding potential / actual threats (e.g., cybersecurity attack(s)) can be respectively applied, damage scenarios and mitigation identified, threat risks assessed and reduced, with the whole system iteratively updated in response to newly derived configurations and knowledge regarding component of interest. Respective entities can apply their knowledge to supplement knowledge across the system, enabling interaction from multiple sources.

The invention relates to the technical field of integrated circuit design automation, and discloses an integrated circuit design whole-process collaborative verification and consistency guarantee method, which comprises the following steps of: constructing a unified design data model, and representing design data from function specifications to physical layout by using a multi-level attribute graph structure; establishing a design intention keeping mechanism, and tracking the transmission of the design intention in the hierarchical refinement process through intention semantic annotation, cross-level entity mapping and intention keeping degree evaluation; executing a hybrid verification strategy, combining formalized verification with dynamic simulation, and guiding verification resource allocation through a coverage rate feedback mechanism; performing constraint consistency check, performing constraint comparison at key nodes of the design process, and automatically identifying and positioning constraint conflicts; according to the method, the capture time of design errors can be brought forward by 80%, the number of design iterations is reduced by 40%, and the design quality and efficiency are remarkably improved.

The invention provides a porous hydraulic buffer design method and a porous hydraulic buffer design device. The technical problem that the design process of damping holes of an existing buffer is complex is solved. The method comprises the following steps: forming a dynamic dominating equation and a hydraulic dominating equation of an ideal buffering process according to kinematics parameters and fluid mechanics parameters of the ideal buffering process of a piston in the buffer; according to the dynamic dominating equation and the hydraulic dominating equation, associated data of the throttling area and the buffering displacement in the piston buffering stroke are formed; the number of damping holes is set according to the piston buffering stroke, and the corresponding number of Gaussian integral points in the piston buffering stroke are obtained according to the number of the damping holes; and throttling characteristics among the damping holes are set according to the positions and the weights of the Gaussian integral points, and throttling characteristics in the damping holes are set according to the associated data. According to the rapid design method based on the Gaussian integral points, rapid engineering design can be achieved, and dependence on professional design software is reduced. A good buffering effect is obtained through a small number of damping holes, and engineering practical application is facilitated.

The invention discloses a quantum circuit generation method based on a large language model, an execution method of a quantum circuit and a quantum circuit generation server. The quantum circuit generation method comprises the following steps: in response to input quantum circuit generation information, obtaining a first target knowledge base from a pre-constructed quantum knowledge base according to the quantum circuit generation information; and based on a pre-trained large language model, generating a target quantum circuit according to the first target knowledge base and the quantum circuit generation information. Therefore, in the field of quantum calculation, the data information related to the quantum circuit generation information is retrieved in the pre-constructed quantum knowledge base, the related data information is processed by the large language model, and the circuit conforming to the quantum calculation rule is generated, so that errors in the design process are reduced, and the accuracy of the generated quantum circuit is improved. In addition, the quantum circuit meeting the user requirement can be quickly generated, and the manual labor and time cost in the traditional quantum circuit design process is greatly reduced.

The embodiment of the invention provides a network-on-chip design method and device, electronic equipment and a readable storage medium, and the method comprises the steps: constructing a target behavior model based on a target design demand; generating a target code based on the target behavior model and a preset code library; under the condition that the target code does not meet the preset constraint target, the target behavior model is optimized, and the target code is updated based on the optimized target behavior model until the target code meets the preset constraint target; and generating an on-chip network code file based on the target code meeting the preset constraint target. Through the mode of performing constraint verification on the target code in the design process and optimizing and adjusting the target behavior model, the code optimization and adjustment range in the design process is narrowed, the code modification cost is reduced, and on the premise of ensuring that the target design requirement of the network-on-chip and the preset constraint target are verified to meet the expectation, the optimization and adjustment efficiency of the network-on-chip is improved. And the code generation efficiency of the network-on-chip is improved.

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