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

A system and a method for generating an optimized power converter design based on one or more multimodal large language models (MLLMs) are disclosed. The system obtains structured design data, one or more user queries, one or more design parameters, and real-time power converter design data. The system performs a similarity matching between one or more embeddings associated with the structured design data, and the one or more user queries and the one or more design parameters to compute an utmost similarity score. The system retrieves one or more similar document chunks. The system processes the one or more user queries and the one or more design parameters to extract one or more parameters. The system determines one or more design workflows based on the one or more parameters. The system executes at least one design workflow. The system visualizes design outcomes, simulation results, and prediction results to a user.

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 discloses an intelligent furniture design system based on AI big data, and relates to the technical field of artificial intelligence, and the system comprises a data collection module which is used for collecting user behavior data, environment data and market data; the data processing module is used for carrying out cleaning, feature extraction and fusion on the collected data to generate structured design input parameters, and the structured design input parameters comprise user preference vectors and spatial constraint parameters; according to the intelligent furniture design system, accurate analysis of design requirements is achieved by comprehensively collecting user behaviors, environment and market data, the problem that design requirement analysis is incomplete due to the fact that a traditional data collection means is single is solved, the system adopts an advanced data processing technology, and the design requirement analysis accuracy is improved. Valuable design input parameters are effectively extracted and fused, a solid foundation is provided for personalized design, and a design generation and optimization module based on a deep learning model can automatically generate and optimize a furniture design scheme.

The invention discloses a simulation experiment design method and system based on a DeepSeek large model. The method comprises the following steps: receiving simulation task definition and related knowledge input by a user; according to the simulation task definition, calling a DeepSeek large model, and generating a preliminary simulation experiment design scheme; performing statistical validity check and feasibility constraint check on the preliminary simulation experiment design scheme to generate a verification report; based on the verification report, enabling a user to consult, understand and modify the preliminary simulation experiment design scheme through man-machine interaction to obtain a confirmed simulation experiment design scheme; calling a DeepSeek large model, and converting the simulation experiment design scheme into a structured design scheme; and outputting the structured design scheme. According to the method, knowledge-intensive tasks in the whole simulation experiment design process can be intelligently assisted and even automatically completed, the design efficiency is remarkably improved, dependence on artificial experts is reduced, the method is effective and reliable in statistics, and invalid experiments and resource waste are 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.

The invention relates to a knowledge graph visualization tool construction system, and belongs to the field of knowledge graphs. The system comprises a data processing module, an algorithm management module, a graph design module, an extraction and mapping module and a data application module. The method comprises the following steps: acquiring a data source required for constructing a knowledge graph, and carrying out cleaning, format conversion and integration on data; knowledge is extracted and mapped through knowledge mapping, knowledge graph creation and structural design are supported, entity and relation management and visualized display of a knowledge graph are supported, and meanwhile, a graph knowledge question and answer function is provided. The modules cooperate with one another, so that the data processing efficiency, the knowledge extraction accuracy, the dynamic updating capability and the visual interactivity are improved, and the requirements of users in data analysis and mining are met.

The invention discloses a method and system for generating an SSD model corresponding to a primary design drawing of a transformer substation, and relates to the technical field of digital design of a power system, and the method comprises the steps: extracting equipment information and connection relation information in the primary design drawing of the transformer substation; the equipment information comprises an equipment name and attribute data; constructing structured design drawing data based on the equipment information and the connection relation information; based on a preset dynamic semantic mapping rule base, mapping the structured design drawing data into a standard data model and logic node association relationship; and generating the SSD model of the transformer substation based on the standard data model and the logic node association relationship. The technical problem that in the prior art, due to dependence on specific formats or tools, diversified drawing formats and equipment types are difficult to adapt is solved.

The invention discloses a city design noise optimization method and system based on artificial intelligence, and the method comprises the steps: carrying out the preprocessing of building form and noise measurement data, and constructing a basic data set after noise simulation verification; a three-dimensional city model and a measuring point network are generated through a layered parameterization framework, the structural noise level is calculated, real-time verification is carried out in combination with planning constraints, and a structural design space, noise basic data and feasibility guarantee are provided; a two-stage multi-layer perceptron network is constructed, local building group acoustic influence and a global city noise mode are processed respectively, and high-precision noise prediction is achieved through training; and deploying a large language model as an optimization agent, and outputting an optimal scheme through multiple rounds of iterative optimization and evaluation. Compared with the prior art, the method has the advantages that the noise prediction precision is effectively improved, a structured design space is provided for parametric modeling, the feasibility is guaranteed through real-time verification, efficient iteration is achieved through large language model optimization, and compared with a traditional method, the efficiency is remarkably improved, and the labor cost is reduced.

The invention relates to the field of artificial intelligence, and particularly provides a front-end code automatic generation optimization method and device, and the method comprises the following steps: S1, a design draft feature extraction module analyzes a layer structure, a style attribute and an interaction intention of a design draft, and generates structured design draft feature data; s2, a multi-modal large model code generation module generates a preliminary front-end code; s3, a code optimization engine converts the preliminary front-end code into an AST (abstract syntax tree), and dynamically optimizes a code structure through an AST traversal optimization algorithm; s4, the runtime performance monitoring and increment optimization module monitors performance indexes of the front-end application in real time and dynamically adjusts a code structure according to feedback data; and S5, the multi-frame adapter adapts the generated codes to different front-end frames. Compared with the prior art, the method has the advantages that the front-end development efficiency, the code quality and the dynamic adaptive capacity can be improved, and the method is suitable for rapid iteration and performance optimization requirements in a complex service scene.

The invention discloses a system and method for checking and optimizing questions and answers of a port yard design scheme, and the system comprises a question and answer analysis unit which is used for obtaining design task information, and analyzing the design task information through a natural language processing model to obtain a structured design task; the multi-objective evaluation unit is used for setting a function loss value based on the structured design task and constructing a multi-objective balance loss function according to the function loss value; the iterative optimization unit is used for performing iterative optimization calculation on the multi-target balance loss function through an improved Bayesian algorithm and outputting a preliminary design scheme; and the feedback adjustment unit is used for acquiring user feedback information, analyzing the user feedback information through a natural language model to obtain a feedback quantification result, and updating the multi-target balance loss function according to the feedback quantification result. According to the system and the method provided by the invention, the design scheme for port engineering can be accurately output by processing and quantifying expert feedback suggestions.

1. The name of the design product: graphical user interface for computer cell marker gene statistics. 2. The use of the design product: the design product is used in electronic equipment to count cell marker genes. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The product involved in the design patent application is a graphical user interface, and the rear view, left view, right view, top view and bottom view are omitted. 6. Other circumstances that need to be explained: the interface of the product is a graphical user interface for cell marker gene statistics, which is a structured design of species, system, tissue, cell type and visualization design of species structure. The first column is species, the second column is system and tissue, the third column is cell type, and the fourth column is typical marker statistics of cells. Users can filter species, system, tissue and cell type through this interface, and finally view the typical marker statistics chart of cells.

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 discloses a drilling engineering design on-line cooperation method and system. The method comprises the steps of collecting and storing a formulated template, geological data analysis, algorithm packaging, well bore structure on-line design, tubular column checking, drilling tool combination design, drilling parameter design and report automatic generation. The system is integrated with an application layer, a service layer, an engine layer and a data management layer through hierarchical design and modular construction. The method has the technical effects and advantages that (1) the template is edited online, and different format requirements are supported; (2) the algorithm is online and can be directly used without depending on external software; (3) data structuring: all data are formatted automatically in the design process, and extra work is not needed; and (4) multiple persons are assisted, and each person can complete one of the modules.

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 invention discloses an AI instruction structured design method and system based on a 5W3H framework and a storage medium, belongs to the technical field of artificial intelligence, and particularly relates to an AI instruction generation technology. The method comprises the following steps: receiving preliminary information input by a user based on a 5W3H framework through a user interface; calling at least one preset AI model, enhancing or expanding the initial information input by the user, and generating more accurate element content; combining all dimension information directly input by a user or subjected to AI enhancement into a structured AI instruction according to a preset rule; and outputting the structured AI instruction for a user to use. By introducing the structured 5W3H framework and an optional AI auxiliary enhancement mechanism, the threshold of designing a high-quality AI instruction by a user can be remarkably reduced, the accuracy and efficiency of AI generation content are improved, and the interactive experience of the user and the AI is improved.

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 discloses a method and equipment for constructing a data warehouse model, a storage medium and a product, and relates to the technical field of artificial intelligence, automation of table-level design and field-level design is completed through a large model, a field design template is combined with the large model to ensure a structured design specification, field collaborative design is performed based on a table-level context, and the design efficiency is improved. And outputting the design core elements of the data warehouse model meeting user expectations and normative standards. By analyzing the demand document and automatically generating based on the core elements of the large model logarithmic bin model, the time consumption of manual lookup is remarkably reduced, by deeply embedding the structured design template into the generation process, it is ensured that an output result is forcibly aligned with an organization standard, and by combining table-level context with field-level design, the design efficiency is improved. Context logic fusion of field name design and table level design is ensured, logic consistency in the model is improved, and design efficiency and design quality of the number bin model are improved.

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.

An artificial intelligence-based urban design noise optimization method and system includes: preprocessing building form and noise measurement data, constructing a basic data set after noise simulation verification; generating a three-dimensional urban model and a network of measurement points through a hierarchical parameterized framework, calculating the structure-borne noise level, and verifying it in real time in conjunction with planning constraints, providing a structured design space, basic noise data, and feasibility assurance; constructing a two-stage multilayer perceptron network to process the acoustic impact of local building clusters and global urban noise patterns, respectively, and achieving high-precision noise prediction through training; deploying a large language model as an optimization agent, and outputting the optimal solution through multiple rounds of iterative optimization and evaluation. Compared with traditional technologies, this invention effectively improves noise prediction accuracy. Parametric modeling provides a structured design space, real-time verification ensures feasibility, and the use of a large language model for optimization enables efficient iteration, significantly improving efficiency and reducing labor costs compared to traditional methods.

The invention 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 fragment segmentation module, a feature extraction module, a cache mechanism module and a model processing module. High-efficiency and accurate processing of a long video is realized through structural design; sSIM is adopted to segment a long video into semantic coherent segments based on content, invalid processing of redundant frames is avoided, the length of a single processing sequence of a large model is reduced, and calculation consumption is reduced; the character posture features concentrate the action trend through a skeleton key point coordinate average value, the scene semantic features reflect scene attributes based on a semantic region proportion average value, and key semantics are reserved to the maximum extent while redundancy is reduced; a cross-fragment dynamic attention caching mechanism updates preorder features in real time, new features integrated with historical contexts are constructed through correlation calculation, and information faults among fragments are solved; and fusing the features and inputting the features into the large model to realize fragment detail and cross-fragment association cooperative processing.

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.

The structure-based kernel audit message transmission method comprises the following steps: determining a core audit field set; designing auditing message structural bodies in which member variables are in one-to-one correspondence with fields in the core auditing field set; when the kernel auditing subsystem generates an auditing event, extracting corresponding auditing field information from the kernel data structure, and filling the auditing field information into an auditing message structural body; transmitting the filled auditing message structural body to an analyzer of the user mode auditing daemon process; the resolver directly accesses member variables in the audit message structural body to obtain audit field information, and direct memory access of structured fields is achieved. According to the method, the efficiency bottleneck of a traditional Linux kernel auditing system in a high-performance scene is solved through combination of structural design and a zero copy technology, meanwhile, the complex auditing requirement is met through a flexible extension mechanism, and the method can be widely applied to scenes with strict requirements for safety auditing, such as a server cluster and a cloud native environment.