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

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 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 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.

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.

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.