263 results about "Design process" patented technology

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 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.

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.

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.

Disclosed in the present invention are a large-model-based unified representation and reasoning method for multi-modal design information. In the present invention, a large model is used to extract corresponding information of function-behavior-structure from a design scheme, so as to construct a function-behavior-structure graph network, thereby achieving a relatively accurate unified representation of multi-modal design information. In the present invention, on the basis of the comparison between graph networks at different moments, the differences in three dimensions, i.e., function-behavior-structure, are obtained, and on the basis of the differences in each dimension, an optimization scheme for the corresponding dimension can be obtained using a large model, so that design thinking and a design process of a designer in each dimension can be obtained by means of reasoning using a large model, a design scheme for each dimension is optimized on the basis of the design thinking and the design process, and corresponding optimization schemes for the three dimensions are then aggregated to obtain an optimized design scheme.

The invention discloses a modular robot automatic design method and system based on a large language model, and aims to realize full-process automation from natural language input to modular robot structure generation. The method comprises the following steps: constructing a module library comprising basic components and composite components; receiving a natural language description input by a user; performing semantic analysis by using a large language model, and automatically generating a component planning list; calculating spatial positions and connection relations of the components based on recursive assembly reasoning; and generating a three-dimensional assembly code and outputting the structure model. The system comprises an input module, a planner module, an assembler module, a module library and an output module, and all the modules cooperate to realize an automatic design process from a text to a structure model. According to the method, the use threshold of non-professional users is lowered, and the method has good adaptability and expansibility and is suitable for various robot structure design tasks.

The invention discloses a design method of an aero-engine wheel disc simulation part, which fully considers the influence of a main stress gradient path of fastest speed reduction of a damage parameter in a dangerous area of a wheel disc characteristic part in a three-dimensional space and a secondary stress gradient path of sub-fast speed reduction on the fatigue life in the design process of the simulation part. According to the method, the fatigue life prediction precision of the simulation part and the stability of a prediction result are greatly improved, a gradient path is automatically formed through a search program, the final configuration of the simulation part is obtained through optimization design, the design method has operability and repeatability, standardization of simulation part design is facilitated, the design process is simple, the design efficiency is high, and the method is suitable for popularization and application. The device is high in practicability and suitable for wide popularization and application.

The invention provides a truss structure autonomous design system and method based on multiple agents. A layered multi-agent architecture is adopted, a general control agent is taken as a core, and a high-level design intention is analyzed and a plurality of downstream special agents are arranged for cooperative work; the whole design process realizes automatic closed loop through a graph-based workflow engine; the core innovation of the method is a hybrid intelligent optimization algorithm of LLM heuristic exploration and genetic algorithm accurate fine tuning, and the algorithm is driven by an original and quantifiable design quality scoring system to efficiently carry out analysis-diagnosis-optimization iteration so as to cooperatively improve the safety and economy of the design. The design time can be shortened from several hours to several minutes, about 7.0% of material consumption is saved on average, it is ensured that the scheme completely conforms to industry specifications, the design efficiency, economy and reliability are greatly improved, and meanwhile the use threshold of professional design software is remarkably reduced through natural language interaction.

The invention discloses a machine tool saddle #-shaped rib plate parameter multi-objective optimization design method, which avoids excessive dependence on experience in the design process, realizes quantitative optimization of the influence of rib plate parameters on performance through a scientific optimization algorithm and an analysis method, and enables the design to be more scientific and accurate. Compared with a genetic algorithm and the like, the linear weighting method is high in calculation speed, and the size of each component can be visually displayed. Moreover, the calculation conditions are uniformly designed, and the agent model is established according to the calculation result, so that the calculation amount is reduced. In practical application, the design efficiency can be improved through the high calculation speed, the relation between optimization targets can be better understood by visually displaying the size of each component, and therefore a more reasonable decision is made. According to the method, a Z-score normalization method is adopted to process each response surface model, so that the performance of an objective function is improved, optimization objectives of different magnitudes and distributions can be compared and optimized under a unified scale, and the accuracy and reliability of an optimization result are improved.

The invention discloses a critical path optimization method and device and an optimization strategy determination method and device in logic synthesis. The optimization method comprises the following steps: identifying an initial key path from a comprehensive result corresponding to an RTL code, deleting a buffer tree on the path, and recording the path as a target key path; identifying abnormal path segments from all the target key paths, grouping all loads corresponding to the target signal lines on each abnormal path segment according to the obtained actual fan-out number on each abnormal path segment, copying the drivers of the target signal lines according to a copying strategy, and connecting the copied drivers with the load groups based on a preset connection strategy; and circularly executing optimization operation on all the abnormal path segments, and obtaining an optimized gate-level netlist after the path optimization operation on all the target key paths is completed. According to the method, the key path can be accurately identified, the comprehensive result is directly optimized, repeated modification and debugging on the RTL level are effectively avoided, and the efficiency of the whole design process is improved.

The invention discloses an intelligent anti-interference control method and device for full-state dynamic constraint of a nonlinear servo system, and the method specifically comprises the steps: firstly constructing a nonlinear obstacle function, and converting a state constraint problem of the servo system into a stability control problem; then designing a multi-layer feedforward neural network and an uncertain observer, and estimating endogenous disturbance and external disturbance in the system; an intelligent anti-interference controller is designed, and feedforward compensation is carried out on internal source disturbance and external disturbance in the system; and finally, designing a neural network weight adaptive law, and selecting controller design parameters to realize a predetermined control target. According to the method, the problems of parameter uncertainty, structural uncertainty, unmodeled dynamics and external disturbance uncertainty existing in the nonlinear servo system can be solved at the same time, it is ensured that the full state of the system meets the preset dynamic constraint requirement, and the influence of differential explosion in the design process of a high-order nonlinear servo system controller is avoided; and large-scale application in industry and engineering is facilitated.

The invention provides a flood discharge tunnel parameterization design system, and relates to the technical field of hydroelectric and hydraulic engineering intelligent design, and the system comprises a management module which is used for transferring all modules of the flood discharge tunnel parameterization design system; the modeling module is internally provided with a flood discharge tunnel parametric modeling library and is used for automatically establishing a flood discharge tunnel three-dimensional model; the parameter module is used for managing parameters related to the design of the flood discharge tunnel; the display module is used for observing the design of the spillway tunnel by a designer; and the design scheme generation and management module is used for extracting the three-dimensional model information of the flood discharge tunnel, calculating and outputting the engineering amount, outputting a corresponding engineering drawing based on the three-dimensional model information of the flood discharge tunnel, and storing the design scheme. According to the method, the spillway tunnel axis and the terrain surface model are only used as input elements, other operations are driven through parameters to update the three-dimensional model, high matching of three-dimensional design and a traditional design process is achieved, and a mode with skeleton driving as a core in traditional modeling is replaced.

The invention provides a building model construction method based on generative design, a building model and a system. The method comprises the steps that candidate building space units and candidate building components are selected from a building space information model based on a preset space unit generation rule and a preset component generation rule; analyzing the preset space unit generation rule and the preset component generation rule to generate a building space sub-model and a building component sub-model; and on the basis of a constraint relationship between the at least one preset space unit generation rule and the at least one preset component generation rule, splicing the at least one building space sub-model and the at least one building component sub-model into a to-be-constructed target. According to the embodiment of the invention, in the process of constructing the to-be-constructed target, the design process logic is recorded, so that the structuring degree of the to-be-constructed target is relatively high; and the design process logic can be used for training an artificial intelligence model, so that the working efficiency of the user is improved.

The invention discloses a multi-dimensional interactive design method for a carbon capture system based on an AI technology, relates to the technical field of computer aided design, and aims to more comprehensively and accurately analyze the performance of the carbon capture system so as to provide a reliable basis for engineering design and ensure the stability and high efficiency of the system in actual operation. The scheme mainly comprises the following five steps: S1, data integration and preprocessing; s2, simulation of an absorption and desorption mechanism; s3, performing fluid dynamic simulation; s4, material and energy balance simulation; and S5, carrying out multi-dimensional interaction and evaluation. The AI technology is combined with a carbon capture system design system, so that the intelligence and high efficiency of the design process are realized. The design efficiency is improved, the design period is shortened, a better design scheme can be obtained, and the performance and reliability of the carbon capture system are improved.

The invention discloses a complex multi-runner optimization design method for a hydraulic element, and belongs to the technical field of digital design and manufacturing of the hydraulic element. The method comprises the steps that parameters such as a runner starting point and an initial obstacle control point are input; generating an initial obstacle; obstacle avoidance and path searching are carried out by adopting an optimization algorithm, and a continuous flow channel is generated through spline curve smoothing processing by taking the shortest flow channel as a constraint; and taking the newly generated flow channel as a dynamic obstacle to update the map, circulating until all the flow channels are completely arranged, and then outputting a result. Aiming at the problems of low efficiency, weight redundancy, large pressure loss and the like of a traditional manual layout method in the design process of a hydraulic element with a complex multi-runner structure, the method realizes automatic layout of the multi-runner structure, and removes redundant materials of the element by reducing a runner right-angle bend and the total length of the runner structure and cooperating with advanced manufacturing technologies such as additive manufacturing, so that the design efficiency of the hydraulic element is improved. Light weight is realized; the pressure loss is reduced by optimizing the runner shape and shortening the length, the layout efficiency and the element performance are improved, and manpower is reduced.

The invention discloses an agent security execution control method and system, and relates to the technical field of artificial intelligence, and the method comprises the following steps: receiving a natural language input of a user, analyzing a spoken language demand into a structured design intention expression through an intention analysis agent, and obtaining a structured design intention expression; the design intention representation at least comprises a target entity, an operation constraint and an acceptance condition; on the basis of the design intention representation, relevant context information is retrieved from design data and a rule base through a retrieval enhancement agent until the retrieval coverage degree and the key anchor point positioning confidence degree reach preset threshold values; by introducing multi-agent cooperation and a natural language driven normal form, a DFT design process is upgraded from tedious and error-prone manual script writing to an intention-driven automatic closed loop. The system can automatically analyze the spoken requirements of the user, intelligently retrieve the design context and generate an interpretable and rollback execution plan, so that engineers are liberated from underlying commands and primitive operations, and the design efficiency is remarkably improved.

The invention provides a collaborative management system and method for an EDA all-in-one machine, the collaborative management system comprises a business layer, an application layer, a platform layer and a hardware layer, the hardware layer is used for providing hardware resources and deploying container instances; the platform layer is used for performing instance management, resource quota allocation and instance life cycle control of container instances on the hardware resources provided by the hardware layer; the application layer is used for running the EDA tool of the corresponding version in the container instance; and the business layer is used for carrying out resource planning, template configuration, task scheduling and result management on the chip design whole process of the EDA all-in-one machine. According to the scheme, the whole process of chip design is integrated through the business layer, scattered project information, resource requirements and result management are incorporated into a unified framework, the tool chain information barrier is broken, and the manual coordination cost is reduced. And meanwhile, the predictability and traceability of task execution are improved, and an efficient and ordered collaborative management scheme is provided for the EDA all-in-one machine.

The application discloses a DTCO process PEX method, device, equipment and product of a graph convolutional neural network. The method introduces a graph convolutional neural network to model the geometric structure and topological connection of a device. Through an adjacency matrix and node feature aggregation, the method learns the parasitic parameter distribution law under a complex structure, and realizes high-precision, high-speed and multi-target parameterized parasitic parameter extraction. Meanwhile, the method supports adaptive collaborative optimization of design process parameters, and further improves the applicability and reliability of PEX in the DTCO process.

The application discloses a kind of based on key value memory network's complex electromechanical system design knowledge active recommendation method.First, the scene feature semantic information extraction of software platform log file in the design process of complex electromechanical system is carried out, and scene ontology is established based on scene feature semantic information, and system scene knowledge base is formed by scene ontology and original knowledge base;Then, the scene maximum frequent sequence is used to describe the scene sequence feature similarity between designers;Again, the knowledge item interaction sequence of all designers is learned, and the knowledge item sequence preference vector corresponding to all designers is obtained;Further, input to key value memory network, and the initial design knowledge active recommendation sequence is obtained;Finally, after knowledge item selection, the final design knowledge active recommendation sequence of each designer is obtained.The application obtains design knowledge active recommendation sequence more in line with the needs of designers, and then improves the efficiency of complex electromechanical system design.

The present invention provides a parametric design method for beam reinforcement of rail transit stations, comprising the following steps: cloud platform construction, designer login, cloud authorization and authentication, design environment adaptation, beam reinforcement parametric design, and online review of design results. The present invention analyzes the business requirements of traditional beam reinforcement design models and the interactive relationship between commonly used structural calculation software and design software, and through encapsulating the parameters required for the design, establishing graphic element geometry algorithm formulas, secondary development of the required software, and establishment of a cloud platform, thereby realizing the functions of parameter standardization encapsulation, automatic parameter transmission, automatic drawing, automatic adjustment of local design results, and cloud-based management of results in the process of rail transit beam reinforcement design.

The invention relates to a Proteus-based circuit design experiment simulation method, and belongs to the technical field of circuit design. The method comprises the steps that operation data of all stages are collected in real time, an automatic simulation result is obtained by automatically triggering simulation to complete data enhancement, and process comprehensive data are obtained; the method comprises the following steps: constructing a circuit knowledge base and identifying and classifying knowledge nodes, generating QTSA data entries subjected to Proteus simulation verification, and training a model through a fine tuning method to obtain a field large model; defining a multi-agent role based on a field large model, and cooperatively generating a dynamic reference tetrad sequence; weighted evaluation is carried out from four dimensions by aligning a reference tetrad sequence with a user operation sequence. According to the method, the design process data is collected, the field knowledge base is constructed, the field large model with professional ability is trained, real-time analysis and intelligent guidance on user operation are achieved, and finally multi-dimensional quantitative evaluation on the design process and result is completed.

An object of the system according to the embodiment is to automate a design process in product development and achieve efficiency and optimization.SOLUTION: A system includes a reception unit, a learning unit, a generation unit, a trial unit, and a visualization unit. The reception unit inputs a performance target of a customer. The learning unit learns the past design data based on the performance target input by the reception unit. The generation unit generates a design based on the data learned by the learning unit. The trial unit performs trial and error of the design generated by the generation unit. The visualization unit visualizes the result obtained by the trial unit.SELECTED DRAWING: Figure 1

The embodiment of the invention discloses a linkage function design method and device, equipment and a storage medium, and the method comprises the steps: displaying a linkage design interface on a preset interaction interface under the condition that a linkage design triggering instruction is received; determining a plurality of target linkage sub-actions based on a linkage action design operation on the linkage design interface; and based on a logic editing operation on the linkage design interface, determining an execution logic relationship among the plurality of target linkage sub-actions, and determining a target linkage action according to the target linkage action and the execution logic relationship. According to the technical scheme, the problems that in the prior art, in the linkage function design process, configuration needs to be conducted with the help of a script language, and the design threshold of the linkage function is high are solved, the linkage function can be designed through interaction operation on the linkage design interface, the design threshold of the linkage function is lowered, and the linkage function design efficiency is improved. And the linkage function design efficiency is improved.

The invention relates to the field of industrial design automation, and particularly discloses an AI automatic design system, which comprises an AI intelligent decision-making and product type selection module used for generating an optimal product type selection and layout strategy based on project requirements; the automatic structure calculation and compliance verification module is used for receiving the strategy, automatically calling external software to carry out calculation and compliance verification, and outputting structure compliance data and a bill of material first draft; the three-dimensional parametric modeling and drawing output module is used for receiving the data to drive three-dimensional software to automatically model and output a drawing and outputting an accurate bill of materials; and the one-stop scheme package generation module is used for integrating all the achievements to automatically generate a complete design scheme package. According to the method, the implicit design experience is encoded into the AI algorithm, automatic deep collaboration of the AI system and the multi-source heterogeneous engineering software is achieved, automation, standardization and global optimization of the whole design process are achieved, and the design efficiency and quality and the knowledge asset protection capacity are remarkably improved.

The application relates to the technical field of ship design, in particular to a ship design method based on ship type flexible customization and a storage medium. A flexible customization design tool set visual push design system platform based on a knowledge graph can automatically match corresponding design modules according to design content in the process of ship digital design by a designer, and can push design tools corresponding to the modules according to design stages, design specialties, operator information and the like. The designer only needs to select corresponding module design objects in the design process, and the module design tool set can be automatically pushed out. After the corresponding design tools are selected, knowledge rules matched with the current design tools and design environment are automatically reasoned and called based on the constructed knowledge graph, and intelligent design based on knowledge driving is realized through the design tools, so that the problem of poor use and configuration flexibility of different professional and different functional design function modules and design tools of a traditional ship three-dimensional design software platform is solved.

The present application relates to the field of industrial software, and provides a chemical process automatic generation method, system and medium. The chemical process automatic generation method comprises the following steps: receiving a natural language description about an industrial process, wherein the natural language description comprises design constraints of the industrial process; starting a multi-agent collaboration system, converting the natural language description into an intermediate representation of the design process through closed-loop interaction among the multi-agents, wherein the multi-agent collaboration system utilizes a semantic entropy index to monitor the logical determinacy of each generation node in the process of generating the design process and triggers a real-time correction mechanism according to the uncertainty quantification result; mapping the intermediate representation into executable instructions of a heterogeneous simulation engine through an adaptation interface to drive the heterogeneous simulation engine to perform physical simulation calculation; and asynchronously extracting the calculation result of the heterogeneous simulation engine to realize closed-loop verification of the design process.