30 results about "Structured systems analysis and design method" patented technology

The invention relates to a building specification compliance verification method based on dynamic prompt and map dual drive. The method comprises the steps of obtaining a to-be-examined construction organization design scheme text; preprocessing is carried out, and a core construction object set is identified; generating a high-confidence structured design element set; matching the structured design element set with specification terms in the building specification knowledge graph; performing logic comparison on parameter values in the structured design elements and compliance requirements in the matched standard terms, judging a compliance state and generating deviation information; and generating a compliance verification report according to a comparison result. The method has the beneficial effects that through a dynamic multi-round prompt chain technology, the large language model is guided to carry out iterative extraction, conflict verification and context completion on the construction scheme text, and the defects that omission, ambiguity and logic contradictions are easy to occur in a complex and lengthy document in single extraction are overcome.

The invention discloses a cable-stayed bridge cross brace optimization system based on system reliability and an intelligent algorithm, which relates to the technical field of bridge engineering, and comprises a multi-source parameter input module used for collecting and processing data such as a main beam section, stay cable parameters, a strain sequence, a vibration sequence, a satellite cloud picture, a traffic monitoring flow, laser point cloud and the like; and outputting the structured design data, the monitoring data flow, the dynamic load spectrum, the probability distribution model and the construction error correction parameters. According to the invention, all-dimensional data such as design, monitoring, load, materials and construction errors are integrated through the multi-source parameter input module, and multi-level and dynamic reliability evaluation is carried out on the component, the subsystem and the system level by using the system reliability analysis module, so that the component failure probability, the system reliability index time sequence and the like can be output; therefore, the real reliability level of the cross brace of the cable-stayed bridge in the whole life cycle is reflected more accurately, and the one-sidedness of a traditional method is avoided.

The invention relates to the technical field of intelligent manufacturing and supply chain collaborative management of woven garments, in particular to a garment production process management system based on artificial intelligence, and the system comprises a production network management center which is used for obtaining a node execution entropy value; the demand dynamic analysis unit is used for carrying out feature extraction analysis on the collected unstructured design data to obtain an order complexity coefficient; the strategy game matching unit is used for obtaining a steady-state scheduling signal or a recovery scheduling signal; when a steady-state scheduling signal is generated, the collaborative scheduling execution unit is used for generating a global optimal scheduling instruction, and minimizing turnover time is taken as an optimization target; when a recovery scheduling signal is generated, the collaborative scheduling execution unit is used for generating a risk recovery scheduling instruction, taking a minimum node execution entropy value as an optimization target, and actively inhibiting pursuit of turnover time; according to the method, the problem that the hidden risk of the node cannot be sensed in the prior art is effectively solved, and an accurate quantitative basis is provided for subsequent preventive scheduling.

The invention provides a method and system for generating cultural and creative contents based on large model fine tuning, and the method comprises the steps: processing cultural symbols in text description data through employing a text analysis technology according to an initial feature vector, and building a correlation mapping relation between visual features and cultural semantics; obtaining similar design element clusters according to different culture backgrounds through the structured design resource library, and judging design logic consistency in the clusters; according to the design logic consistency judgment result, processing the similar design element cluster by adopting an iterative optimization technology to obtain an optimal design element combination scheme; if semantic conflicts exist in the optimization design element combination scheme, combination parameters are adjusted, and a final adaptive design intention expression form is determined; and through the final adaptive design intention expression form, generating a creative and cultural design content fusing traditional and modern styles, and obtaining an output result with uniqueness.

This invention discloses a digital design method for construction projects based on BIM and data collaboration, belonging to the field of digital design technology for construction projects. The method includes acquiring an initial design model set of the target construction project and a cross-disciplinary design parameter set containing constraints from multiple disciplines such as structure, MEP, and architecture. The initial design model set is then meshed in three dimensions to generate a structured design space containing geometric voxels and attribute metadata. Within this space, a parameter semantic association network is constructed, forming a parameter association network model representing parameter dependencies and conflicts. Based on this model, multi-disciplinary constraint consistency evolution calculations are performed to generate a collaborative design optimization space that satisfies all constraints. A computer-aided design optimization engine is used for global optimization to obtain the final collaborative design scheme, which is then fed back to the BIM design platform. This invention integrates geometric and attribute data, clarifies cross-disciplinary parameter relationships, and realizes multi-disciplinary digital collaborative design optimization of construction projects.

The application discloses a storage redundancy closed-loop regulation method based on recent data loss probability, and the core lies in introducing a closed-loop feedback control framework into a storage system, regulating redundancy gradually, realizing reliability and performance stability, and avoiding "reconstruction storm" and operation and maintenance burden caused by centralized data reconstruction due to traditional static configuration. The method is based on four technical integrations: 1. state observable: based on hard disk failure prediction, the device health state is observed in real time. 2. target controllable: through a recent data loss probability model, long-term reliability is quantified as a recent risk margin. 3. regulation feasible: the structured design of the data strip makes the redundancy rate adjustable and the risk margin controllable. 4. execution without disturbance: through background gradual regulation, the disturbance to the front-end business performance is strictly bounded. The application realizes the reliability and I / O performance stability under failure, optimizes the storage efficiency, and is suitable for various scenes such as large-scale data centers and AI training.

The invention relates to the technical field of power grid infrastructure projects. The invention discloses a structured design method and system for a feasibility research report of a power grid infrastructure project. The method comprises the steps of obtaining file data specified by related management of power grid infrastructure in a historical file library, and obtaining a structured text data set; performing structured information extraction on the text data set to obtain a structural framework set of the text; key review element extraction of the feasibility research content review rule is carried out on the text data set, and a key review element set is obtained; establishing logic association for each key review element, each node and each text in the text data set to obtain a mapping relation M of the key review element ID, the node ID and the text ID; according to the mapping relation M, a feasibility research report structure chart is formed, and a power grid infrastructure project feasibility research report template is created. The produced standardized template provides a solid and uniform data basis for treatment, integration and deep analysis of power grid data, thereby directly supporting scientificity and accuracy of investment decision.

The invention discloses a software demand quality evaluation data processing method and device, equipment and a medium, and the method comprises the steps: obtaining an initial software demand text, and recognizing a candidate demand text containing a predefined defect indication word through semantic analysis; for each candidate text, matching or generating a high-quality demand text corresponding to semantics from a historical demand library or a domain knowledge library, and constructing a difference sample pair; and labeling the sample pair input into the arbitration system based on the large language model, and automatically generating a quality label corresponding to the demand text. And generating a high-quality evaluation data set based on all the labeled difference sample pairs. According to the technical scheme, automation of data set construction can be achieved, the structural design can effectively reveal context ambiguity of the demand text, and a reliable reference is provided for training and evaluating a high-precision demand quality detection model. The method can be widely applied to the technical field of software.

The kernel audit message transmission method based on the structure body comprises the following steps: determining a core audit field set; designing an audit message structure body with member variables corresponding to the fields in the core audit field set one by one; when an audit event is generated by a kernel audit subsystem, extracting corresponding audit field information from a kernel data structure and filling the audit message structure body; transmitting the filled audit message structure body to a parser of a user state audit daemon; and directly accessing the member variables in the audit message structure body by the parser to obtain the audit field information, so as to realize direct memory access of the structured field. Through the combination of the structured design and the zero-copy technology, the efficiency bottleneck of the traditional Linux kernel audit system in a high-performance scene is solved, meanwhile, the flexible extension mechanism meets the complex audit demand, and the method can be widely applied to scenes with strict requirements for security audit, such as server clusters and cloud native environments.

The application discloses a kind of intelligent booth design methods, including receiving user input booth design requirement information, the design requirement information includes structured parameter and natural language description;The natural language description is analyzed semantically, and key semantic entity is identified and extracted;At least one quantization design constraint parameter is mapped to the key semantic entity identified based on pre-constructed design semantic material library;The at least one design constraint parameter obtained by mapping is fused with the structured design parameter input by user through interface selection, and booth design scheme is generated.The application fundamentally solves the problems of requirement distortion and high communication cost in traditional booth design by converting the natural language description of exhibitor into structured and quantifiable design constraint parameters and fusing with the structured parameters input by user, thereby greatly reducing communication cost and time loss, and laying a solid foundation for subsequent accurate and efficient booth design scheme generation.

The invention relates to an automatic test method and device, equipment and a storage medium, and the method comprises the steps: obtaining a test script template, and recognizing a parameter tag in the test script template; obtaining a plurality of input test cases, replacing corresponding parameter labels in the test script template with path parameters and data parameters based on parameter categories of the path parameters and the data parameters in the test cases, and generating an executable test script file; distributing an independent file path for each test case; and based on the file path corresponding to the test case, executing the test script file, and generating a plurality of test result files. According to the method and the device, the problem that the test efficiency is low due to the fact that the repetition rate of the test script is high and the use cases cannot be executed in parallel is solved, the flexibility of the test framework is kept, and efficiency and reliability are improved through structural design.

The present application relates to the technical field of intelligent manufacturing and supply chain collaborative management of clothing, in particular to a clothing production process management system based on artificial intelligence, comprising: a production network management center for obtaining node execution entropy; a demand dynamic analysis unit for performing feature extraction analysis on collected unstructured design data to obtain an order complexity coefficient; a strategy game matching unit for obtaining a steady-state scheduling signal or a recovery scheduling signal; when the steady-state scheduling signal is generated, a collaborative scheduling execution unit is used to generate a global optimal scheduling instruction with the optimization objective of minimizing the turnaround time; when the recovery scheduling signal is generated, the collaborative scheduling execution unit is used to generate a risk repair scheduling instruction with the optimization objective of minimizing the node execution entropy and actively suppressing the pursuit of turnaround time; the present application effectively solves the problem that the prior art cannot perceive the hidden risks of nodes, and provides accurate quantitative basis for subsequent preventive scheduling.

The application provides a spacecraft ground test digital management method and system, and relates to the field of spacecraft ground test. The method comprises the following steps: obtaining unstructured test planning information; performing structured design on the test planning information, wherein the structured design comprises distinguishing the model-free general content and the model-specific content in the information, and performing structured processing on the two contents respectively to form structured test requirement data; performing structured design on the test scheme based on the structured test requirement data; performing test implementation and automatically collecting test data based on the structured test scheme; performing generalization processing and statistical analysis on the test data; and automatically generating test result output based on the result of the statistical analysis. The application solves the problems of poor timeliness, non-uniform data, low reuse rate and poor information flow in test requirement transmission, realizes full-process digital closed-loop management, improves design efficiency and knowledge reuse rate, and ensures data consistency.

This invention relates to a method and system for generating interior design renderings of empty rooms based on a large AI model, belonging to the fields of interior design and artificial intelligence. The method includes: acquiring structural condition information of the empty room and style intent information of the user; the structural condition information is generated through a spatial structure extraction model, and the style intent information is encoded into a structured design vector through a multimodal semantic parsing model; inputting the structural condition information and the structured design vector into a structure-style joint control network, which embeds a cross-attention fusion module in the U-Net decoding layer of the diffusion model to deeply fuse multi-scale structural features with style semantic embeddings; generating interior design renderings through iterative denoising, and supporting interactive editing of local areas and quality evaluation feedback optimization. This method solves the problems of structural deformation and style drift in existing technologies, supports multi-style generation with a single model, reduces storage space, improves structural accuracy, and enhances generation quality and interaction efficiency.

The application discloses a long video processing method and device based on a large model, electronic equipment and a medium, and relates to the technical field of video processing. The device comprises a segment division module, a feature extraction module, a cache mechanism module and a model processing module. Through structured design, efficient and accurate processing of long videos is realized. The long video is divided into semantic coherent segments based on content by SSIM, redundant frame invalid processing is avoided, the sequence length processed by the large model at a time is reduced, and the calculation consumption is reduced. The action trend is condensed by the average value of the skeleton key point coordinates of the character posture feature, and the scene attribute is reflected based on the average value of the semantic area proportion of the scene semantic feature. While reducing redundancy, the key semantics are maximally retained. The cross-segment dynamic attention cache mechanism updates the previous features in real time, constructs new features by associating degree calculation, and solves the information fault between segments. The large model is input with the fused features, and the segment details and cross-segment association collaborative processing are realized.

This invention discloses a method and system for stylized design of smart homes based on generative adversarial networks (GANs), relating to the field of computer-aided smart home design. It employs a multimodal fusion encoder to encode and fuse stylized design information, extracting text, image, and structural features respectively, and then deeply fusing them through an attention mechanism to generate conditional guidance vectors containing spatial layout and stylistic features. These conditional guidance vectors are then input into a pre-trained dual-channel GAN. This invention solves the problem that existing AI-powered smart home stylized designs can only generate uneditable visual images, achieving simultaneous generation of visual effects and structured design data, thus improving the practicality and feasibility of the design results. Through a dual-channel generation architecture and differentiable rendering consistency constraints, it ensures precise alignment between visual images and structured data, improving design accuracy and reliability.

The application discloses an intelligent design method based on a thinking chain and brand DNA constraint, and comprises the following steps: design strategy proposal; constructing a "demand-logic-visual" thinking chain; brand DNA constraint; AIGC design scheme output; gestalt adaptive layout; scheme output and landing production. The application utilizes a thinking chain model combined with a multi-modal artificial intelligence algorithm to realize accurate conversion from fuzzy design requirements to structured design strategies, significantly shortens the creative deduction cycle, and improves the accuracy of design logic and the demand fit degree. The system of the application has high production flexibility and can quickly generate visual schemes suitable for different media scales, marketing nodes and theme contents based on parameterized constraints, effectively meeting the design requirements in diversified scenarios.

The invention belongs to the technical field of circuit design, and discloses a method for impedance matching design based on a large language model, which comprises the following steps of: 1, collecting impedance matching design demand information for preprocessing, and outputting demand data; 2, semantic understanding, field extraction and structured mapping are carried out, a rule verification mechanism is adopted to carry out conversion unit unification, parameter range verification and missing information complementation, and standard structured design task description is generated; 3, judging a matching task type, selecting a corresponding design according to the matching task type, and generating a topological structure and parameters; 4, converting into a netlist file, performing S parameter simulation, analyzing key performance and indexes, judging initial structure performance, and generating a report and storing the report into an RAG knowledge base when a design target is met; 5, if not, parameter optimization is carried out, a report is generated and stored in an RAG knowledge base after optimization succeeds, modification suggestions are generated if the optimization succeeds for many times, and then redesign is carried out. According to the method, the matching structure design efficiency and accuracy of the large language model are improved.

The invention relates to the technical field of nuclear facility digital design delivery, and discloses a nuclear security network design data operation and maintenance delivery and automatic configuration method and device. The method comprises the following steps: generating structural design data containing equipment identification information, equipment parameter information, spatial positioning information, network topology information and network configuration information in a digital design stage, and synchronously sending the structural design data to an installation debugging main body and an operation and maintenance management main body; the installation debugging main body completes equipment physical deployment and connection deployment based on the structured design data, generates an importable configuration file to realize automatic configuration and feeds back refined data and operation information flow; the operation and maintenance management main body associates data to complete initialization of the operation and maintenance platform; and when the demand is changed, an automatic updating process is executed and configuration is backed up, so that the kernel security network design, deployment and operation and maintenance full-link data communication is realized, the network construction period is shortened, the cooperation cost is reduced, and the strict requirements of a kernel security scene on network stability, data accuracy and response timeliness are met.

The invention belongs to the technical field of electronic design automation, and provides an automatic analyzing and labeling method for KiCad EDA engineering data. The technical problems that in the prior art, KiCad native project file analysis excessively depends on visual image processing, and structured design semantics are neglected, so that circuit geometric feature extraction is inaccurate, and electrical attribute data are missing are solved. According to the main scheme, the method comprises the following steps: preprocessing an original KiCad project file to obtain a structured work directory and a converted PNG image schematic diagram file; the schematic diagram file in the structured work directory obtained through preprocessing is automatically labeled, and multi-modal labeled data containing geometric features, electrical parameters and connection relations are generated; and performing structured packaging on the multi-modal labeling data to obtain a multi-modal labeling data set compatible with the industrial standard.

The invention belongs to the technical field of aircraft design, particularly relates to a semantic-driven aircraft function system optimization design method and system, and aims to solve the problem of function system optimization which can decouple design logic and consider efficiency and accuracy. The method comprises the following steps: constructing a quinary semantic modeling set of an aircraft function system, and generating a structured design instruction according to the quinary semantic modeling set; assembling static parameters, dynamically inputting and structuring a design instruction by using an Assemble module to obtain a complete design instruction; and by taking the complete design instruction as input, performing optimization by using LLM until an optimization termination condition is met, and obtaining an optimization result. According to the semantic-driven aircraft function system optimization design method and system provided by the invention, an efficient and reliable scheme is provided for rapid optimization design of the aircraft function system through semantic driving.

The invention provides a ship body structure trepanning design method based on rules, and relates to the field of ship design and manufacturing. The method comprises the following steps: firstly, constructing a design rule base containing opening types and selection rules according to a hull structure opening standard; then three-dimensional information of a target part is obtained in the three-dimensional model, and corresponding trepanning types and parameters are matched for the part based on the design rule base and the three-dimensional information; and finally, holes conforming to specifications are generated in batches. According to the method, a set of efficient and reliable design process is formed by converting the standard specification into the structured design rule and deeply fusing the structured design rule with the three-dimensional design environment, manual judgment and manual operation are remarkably reduced, the design efficiency, standardization and accuracy are effectively improved, and the design difficulty and the error rate are reduced.

This invention discloses a method for constructing a process document model based on hierarchical structure parsing, relating to the field of equipment manufacturing informatization and intelligent data processing technology. The method includes: constructing a hierarchical structure parsing engine and a multi-dimensional data mapping rule base, which at least includes a recursive parser and a node feature extractor; inputting the source design BOM into the hierarchical structure parsing engine to obtain a structured design BOM tree model; obtaining a maintenance BOM tree model based on the multi-dimensional data mapping rule base, the structured design BOM tree model, and the maintenance BOM reverse derivation constraints; obtaining a process BOM tree model based on the multi-dimensional data mapping rule base, the structured design BOM tree model, and the process BOM reverse derivation constraints; and obtaining a structured process document based on the maintenance BOM tree model, the process BOM tree model, and the process document template. This method solves the problem that existing conversion methods from EBOM to MBOM and PBOM rely on manual methods, resulting in low conversion efficiency and susceptibility to errors.

This invention discloses an AI-based power knowledge base retrieval method based on deep learning, comprising the following steps: acquiring power review knowledge data, processing the knowledge base construction to obtain a power knowledge base; performing clause segmentation and constraint element extraction to construct a two-layer knowledge unit structure; parsing power engineering design documents to obtain structured design data; constructing a query term sequence; encoding the query term sequence and the two-layer knowledge unit structure to construct a knowledge retrieval index; employing the ColBERT fine-grained delayed interactive semantic matching algorithm to perform term-level relevance calculation on the query-side term vector representation and the knowledge-side term vector representation to obtain a target knowledge clause set; performing hit evidence attribution on the target knowledge clause set and outputting the review results. This invention achieves accurate semantic retrieval and intelligent matching between power engineering design documents and knowledge clauses.

The application discloses a system and method for port yard design scheme question and answer checking and optimization, the system comprises: a question and answer analysis unit for obtaining design task information, analyzing the design task information through a natural language processing model to obtain a structured design task; a multi-objective evaluation unit for setting a function loss value based on the structured design task, and constructing a multi-objective balanced loss function according to the function loss value; an iterative optimization unit for iteratively optimizing and calculating the multi-objective balanced loss function through an improved Bayesian algorithm, and outputting a preliminary design scheme; and a feedback adjustment unit for obtaining user feedback information, analyzing the user feedback information through a natural language model to obtain feedback quantization results, and updating the multi-objective balanced loss function according to the feedback quantization results. The system and method provided by the application can accurately output a design scheme for a port project by processing and quantizing expert feedback opinions.

The invention discloses a metamaterial absorber design method and system based on a natural language processing and loop prediction network, and belongs to the field of nanometer photonics device design. The method comprises the following steps: acquiring initial sample data containing metamaterial absorber geometric parameters and corresponding optical response, and training a loop prediction network model to establish a function relationship between the two; performing preprocessing, feature mapping and length calibration on the unstructured design demand text through a natural language processing module to generate a structured feature vector; and inputting the feature vectors into a trained model, and outputting geometric parameters through a loop prediction mode (based on residual feedback optimization) so as to complete on-demand design of the metamaterial absorber. The corresponding system comprises a data acquisition and model training module, a natural language processing module, a loop prediction network module and an on-demand design module. According to the method, the design efficiency can be remarkably improved, the design precision and generalization ability are improved, the design threshold is lowered, the computing resource consumption is reduced, and engineering popularization of the metamaterial absorber is facilitated.

The invention belongs to the technical field of computer system architecture design, and discloses a method and a system for constructing a structured information architecture design based on service driving. According to the technical scheme, through a hierarchical design and modular decoupling mode, various technologies such as data-driven rendering and graphic events are applied, and visual information system architecture design is achieved. An information architecture standard library is constructed, an architecture design underlying data basis is formed, a structured architecture design tool of a service-driven mode is formed on the basis, structured design work of an application architecture, a data architecture, a technical architecture and a security architecture is carried out in order with a service architecture as a guide, and logic association and data association between different architectures are strengthened. A user does not need to draw an architecture graph and only needs to maintain architecture basic data, and the architecture graph can be automatically generated through the mapping elements and the mapping rules built in the tool. And after the business, the application, the data, the technology and the security architecture are drawn, an overall architecture graph is automatically generated by one key.

The invention relates to the technical field of aircraft design, in particular to an aircraft overall scheme generative design method based on PILO-GAN, and the method comprises the steps: converting an unstructured natural language demand into structured design parameters; then constructing a PILO-GAN network, generating initial design parameters by taking structured parameters as conditional input and combining with random noise, embedding aircraft design empirical criterion constraints, and driving physical optimization based on multidisciplinary performance evaluation; performing multidisciplinary physical performance verification on the initial design parameters to obtain quantitative performance indexes; constructing a gradient propagation path by adopting a REINFORCE algorithm, and feeding back a performance index gradient to the generator to realize parameter updating; and finally, dynamically adjusting the weight of the loss item of the constraint and physical optimization, and carrying out iterative optimization until a preset requirement is met. Through a physical closed-loop optimization mechanism, end-to-end intelligent generation of feasible schemes from demands to engineering is realized, and the physical consistency and engineering credibility of the design scheme are remarkably improved.

The invention relates to the technical field of equipment management, and discloses an equipment attribute unified management system, which comprises an equipment information storage model, an object template system, a main data management system, a material model data source and a measuring point management system, establishing an owner data table by taking the specific attributes of the equipment as main data; storing an incidence relation table of the material models and the main data; constructing a material model library, and performing structured design to obtain a material model data source; according to the method, the equipment information storage model is established to uniformly store equipment information, the flexibility and the expandability are enhanced, the uniform object template system and the main data management system are established, the equipment attribute management is standardized, and the material model library is constructed into a material model data source; a data foundation is laid for automatic filling of equipment attributes, the measuring points are managed in a unified mode through a measuring point management system, and the standardization and efficiency of measuring point management are guaranteed.

The invention discloses a data processing method and device for a tax database, equipment and a medium, and relates to the technical field of data processing. The method is applied to a tax auditing system and comprises the steps that a to-be-audited table structure design document is acquired, and structured design elements are extracted through a large model analysis engine; based on a pre-constructed standard specification knowledge base and a pre-constructed auditing scheme knowledge base, auditing and judging the structured design elements through a rule inference engine, and generating and outputting an auditing report according to an auditing and judging result; wherein the standard specification knowledge base stores tax auditing standards in a vectorization manner and is associated with dimension tags; the auditing scheme knowledge base contains auditing schemes of different scenes with reference specifications and priorities; during auditing, multiple specifications at the same auditing point are compared according to priority vectors, a semantic model is called to analyze conflicts, and reasonable but non-compliant conflicts and compliant but non-reasonable conflicts are recognized. According to the technical scheme, the complex problems of multiple standards, multiple versions, semantic understanding and the like in the tax industry can be solved.