68 results about "Design documentation" patented technology

The invention provides a code generation and evaluation method and system based on RAG and a multilevel decision tree, and the method comprises the steps: integrating project related design documents, and constructing a knowledge base capable of semantic retrieval through a vectorization technology; associating business demand description with related documents in the knowledge base based on an RAG technology, and performing demand semantic enhancement to generate a technology demand cue word; receiving the technical requirement cue word by adopting a large language model so as to generate a complete code conforming to business logic; constructing a four-level decision tree evaluation system, and sequentially executing code quality scanning, deployability verification, dynamic test verification and demand satisfaction verification through an evaluation assembly line to generate an evaluation result; and generating an optimization suggestion according to the evaluation result so as to trigger an iteration generation process when the code does not pass the verification, thereby solving the problems of disjunction between code generation and business requirements, low verification efficiency and insufficient iteration optimization.

The invention provides a method and a system for automatically checking and correcting a PCB (Printed Circuit Board) design rule, belonging to the technical field of PCB design. The method comprises the following steps of: analyzing data such as texts, images and tables in a PCB design document through a multi-modal large model, extracting a structured signal information table, automatically generating a dynamically adaptive checking rule, and automatically checking and correcting the PCB design rule. Comprising bit width check, connectivity verification and functional analysis. And the generated rule is optimized by combining a retrieval enhancement generation (RAG) technology with a verification rule base, so that the coverage is comprehensive and the accuracy is high. The system further evaluates the rule through a form verification tool, automatically corrects potential defects, and improves the quality and adaptability of the rule. According to the method, the efficiency and accuracy of PCB design inspection are remarkably improved, the manual intervention requirement is reduced, the method can be widely applied to complex electronic design scenes, and the rapid changing technology and market requirements are met.

The invention provides an end-to-end software development automation platform and method, and the platform comprises an intelligent design module which automatically generates a structured design document through multi-Agent cooperation and builds a traceable link; the intelligent development module is used for analyzing the UI design draft through computer vision to generate a front-end code and automatically generating a rear-end code based on the design document; the intelligent test module automatically generates a test case and drives a test closed loop; the workflow engine configures a flow through a visual interface and monitors a task through an intelligent Agent; and the RAG knowledge base and the Agent base disk are used for dynamically slicing the document and storing the document in a vectorization manner, and support multi-role Agent collaboration. According to the platform, the time consumed by manual design can be reduced by 50%-70%, and the design period is shortened by 67%; the front-end development efficiency is improved by three times; the automatic coverage rate of back-end codes reaches more than 90%, and the labor cost is reduced by 60%; the test case generation efficiency is improved by three times, and the test period is shortened by 50%.

Various embodiments include methods and systems for automatically evaluating infrastructure configuration and / or architectural design documentation for compliance with relevant standards, requirements, and policies. Embodiments provide a framework for automating compliance reviews of infrastructure configuration and / or architectural designs against standards, requirements, and policies. Methods may include transforming input requests for analysis and infrastructure configuration and / or architectural design documents into formats suitable for processing by a large language model (LLM), prompting the LLM to identify concepts and / or elements that are likely subject to a standard, requirement, or policy, querying a compliance criteria vector database to identify standards, requirements, or policies relevant to the requested analysis and documents, prompting the LLM to determine whether infrastructure configuration and / or architectural design documents comply with each relevant standard, requirement, or policy, and producing reports from LLM outputs regarding compliance of the infrastructure configuration and / or architectural design documents with each of the relevant standards, requirements, or policies.

The invention relates to the technical field of software engineering and information processing, in particular to a semantic verification method and device based on a large model.The method comprises the steps that a source code file and a corresponding software requirement and design document are obtained, code semantic representation is generated based on grammar analysis and static program analysis, and a semantic verification result is obtained; based on text analysis and business flow chart structure identification, generating a design demand semantic representation; respectively inputting the code semantic representation and the design demand semantic representation into a pre-training language large model to generate a code implementation logic description and a design demand logic description; and performing semantic consistency verification on the two types of logic descriptions to obtain a semantic inconsistency result, determining a code position in the source code file based on the semantic inconsistency result, and outputting a scanning report. According to the invention, the automation degree and the rechecking performance of consistency checking of requirements can be improved, and the leak detection and reworking cost can be reduced.

The invention provides a multi-agent collaborative supply chain bill system automatic development method and device, and the method comprises the steps: receiving a user demand document related to a to-be-developed supply chain bill system, and obtaining an enterprise specification document used for constraining development technical specifications; initializing a workflow arrangement module and a state data structure for automatically developing the supply chain bill system; wherein the workflow arrangement module comprises a directed graph, an intelligent agent is used as a node, and a circulation rule is used as an edge; and the intelligent agent processing module is used for enabling the intelligent agents to work serially and / or concurrently according to an execution path determined by the workflow arrangement module by taking the enterprise specification document as a constraint, analyzing the user demand document to obtain a design document, planning a development task according to the design document, generating review opinions by reviewing the planned development task, and sending the review opinions to the intelligent agents according to the review opinions. And generating a code file based on the design document, the development task and the review opinion, and compiling the code file to obtain an executable file related to the supply chain bill system.

The embodiment of the invention provides a code generation method and device, equipment and a storage medium. The method comprises the following steps: receiving a code generation request through an interactive interface associated with a model; response content generated by the model based on the code generation request is presented in the interactive interface, the response content comprises a design document, and the design document describes development demand information determined based on the code generation request; presenting an editing window of the design document, wherein the editing window is configured to receive at least one editing operation for the design document; and providing code content generated by the model based on the design document. Based on the mode, according to the embodiment of the invention, the design document determined based on the code generation request can be edited, so that the code content can be generated based on the edited design document, and the generation quality of the code content is effectively ensured.

This invention belongs to the field of natural language processing and information extraction technology, and provides a method and system for extracting parameters from boiler design documents based on multi-round self-feedback RAG. The method includes: preprocessing the boiler design document and the original query, converting them into several text segments and expected inputs respectively; encoding the text segments and expected inputs into high-dimensional vectors and query vectors respectively, storing the high-dimensional vectors and constructing a vector index; generating a response based on retrieved external knowledge to assist a large language model, and iteratively optimizing the generated results through multiple rounds. This invention effectively solves the problems of incorrect and missing parameter extraction in complex or fuzzy query scenarios, significantly improving the reliability of the final results; it overcomes the limitations of traditional methods and standard large language models in handling multimodal data, enhancing the processing capability for complex multimodal documents; and it improves the accuracy of information retrieval, laying a solid foundation for subsequent accurate parameter extraction.

Provided is a technology for visualizing an environmental load corresponding to product configurations on the basis of design documents.　This environmental load evaluation device is provided with one or more processors and outputs an environmental load of a product to be produced. The environmental load evaluation device is characterized: by including a storage unit that stores a bill of materials of the product, a diagram of the product, and basic unit information indicating basic units of an environmental load; and in that the processor is provided with a basic unit proposal unit that uses the bill of materials and outputs, as a proposal, candidates for basic units corresponding to components constituting the product, and an environmental load calculation unit that combines the proposed basic units with the bill of materials and calculates the environmental load of the product.

The invention provides a design document detection method and device, equipment, a storage medium and a program product, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining first item information of a target item to which a to-be-detected design document belongs, the to-be-detected design document being used for indicating the current business logic of the target item; based on the first project information, a historical design document of the target project is retrieved, and the historical design document is used for indicating historical business logic of the target project; inputting the to-be-detected design document and the historical design document into a pre-trained first deep learning model, judging whether the current business logic and the historical business logic have conflicts or not by the first deep learning model based on the to-be-detected design document and the historical design document, and outputting first detection information when the conflicts exist, the first detection information is used for indicating that the current service logic conflicts with the historical service logic. According to the method, the easily ignored and deep business logic conflicts in the design document can be efficiently and accurately identified.

The invention relates to the technical field of data processing, in particular to an asset import method and device, computer equipment and a storage medium. The method comprises the steps that text content of a design document is obtained to serve as a target text, cue words of all asset types are obtained, and the cue words are used for explaining and limiting data corresponding to the asset types; constructing an extraction template based on each cue word and the target text; the extraction template is used for indicating to extract data from the target text based on each prompt word; calling an extraction model to process the extraction template to obtain asset data corresponding to each asset type; the extraction model is constructed based on a large language model; and importing the asset data corresponding to each asset type into the development platform. By adopting the scheme of the invention, the efficiency of designing the asset import development platform can be improved.

The invention discloses a communication engineering design optimization method, system and device and a medium, and the method comprises the steps: matching corresponding description documents and investigation materials according to a to-be-optimized design type and a to-be-optimized design stage; analyzing the description document to generate a stage description document corresponding to the to-be-optimized design stage; constructing a data material library based on the investigation material; establishing an initial design document based on the stage description document and the data material library; responding to an updating instruction of the initial design document, and obtaining the updated initial design document; initial design data are extracted from the updated initial design document, a design optimization suggestion of the updated initial design document is generated according to the initial design data, and the optimization suggestion can be generated by matching a description document and a reconnaissance material required by design, combining initial design document building and updating response and data extraction analysis. The policy compliance is accurately controlled, the cross-professional data consistency is guaranteed, and the communication engineering design quality and the overall working efficiency are effectively improved.

The invention discloses a graphical code verification method, and relates to the technical field of rail transit signal systems, and the method comprises the following steps: S1, reading a new version demand document FS, a design document AD and a graphical code EMIL of a subsystem; s2, comparing the demand document FS and the design document AD of the new version and the old version, and associating to obtain an NEWTrace table file and an OLDTrace table file; s3, the NEWTrace table file and the OLDTrace table file are traversed, and a ChangeLog table is obtained; s4, reading a new and old version graphical code EMIL and a ChangeLog table, and generating a code comparison text file and an AD check text file; s5, traversing and updating the Themes verification table; s6, verifying the consistency of the requirement for modifying the entry and the code; and S7, summarizing all verification results of the Themes verification table. According to the method, demand design and codes are integrated, corresponding modification demands and modification codes are identified and triggered through an automatic method, walking verification is facilitated, and the code walking verification efficiency is improved.

The invention discloses an engineering design document standard specification checking method and system, and the method comprises the following steps: 1, constructing an engineering standard library, carrying out the classified storage of national standards, industrial standards and local standards, and dynamically updating the state information of each standard; 2, receiving an engineering design document uploaded by a user, performing text preprocessing on the engineering design document, and intelligently extracting standard specification reference information in the document; 3, performing multi-dimensional comparative analysis on the extracted standard specification reference information and data in an engineering standard library, and identifying information difference and a standard validity state; 4, generating a modification suggestion according to a comparison and analysis result, and performing a modification operation on the error reference based on the current effective standard in the engineering standard library; and 5, outputting a checking result, wherein the checking result comprises outputting the engineering design document with the error mark and / or the modified engineering design document.

The application discloses a software design and development method and a terminal, a detailed design document corresponding to an architecture design document is generated according to software requirements, a corresponding core class code is generated according to a core class diagram of the detailed design document, and an engineering code is obtained by directly developing based on the core class code by a developer; if the engineering code does not match the core class in the detailed design document, the core class diagram and the corresponding design document are re-generated, thereby greatly improving the consistency of software design and software development; if the engineering code matches the core class of the detailed design document, the engineering code is submitted to a code warehouse, the submitted document is ensured to be correct and reliable, and the design document is ensured to be well landed in the development stage.

The system according to this embodiment aims to clarify application requirements based on user responses and to quickly create prototypes. [Solution] The system according to the embodiment comprises a reception unit, an analysis unit, a generation unit, and an output unit. The reception unit receives responses from the user. The analysis unit analyzes the responses received by the reception unit and clarifies the application requirements. The generation unit creates a prototype application based on the requirements clarified by the analysis unit. The output unit outputs a requirements definition document and a design document based on the prototype application created by the generation unit.

The application relates to an artificial intelligence-based software design scheme automatic evaluation method and system, which automatically extracts function entities and architecture topologies in a design document through a multi-modal analysis technology to generate a structured design scheme atlas; performs standardized compliance checking based on an enterprise architecture benchmark library to identify technical specification deviation and component reuse defects; fuses a defect prediction model and a risk quantification mechanism to analyze component coupling degree and historical defect data to generate a risk atlas; combines constraint rules and a similar case library to deduce an executable architecture optimization path; finally, constructs a closed-loop decision chain of technical compliance, risk control and asset reuse to generate a quantitative evaluation report. The application solves the problems of traditional evaluation methods, such as dependence on manual work, low efficiency, non-uniform standards and decision disconnection, realizes full-process automatic evaluation from design analysis to improvement guidance, significantly improves evaluation efficiency and decision accuracy, and guides software architecture optimization decision.

This invention discloses a method, apparatus, device, medium, and product for compliance testing of design documents, relating to the field of artificial intelligence technology and applicable to the fintech field. The method includes: acquiring a target design document to be tested, and determining at least one clause item to be tested contained in the target design document and the target clause item type corresponding to the clause item; if the target clause item type is a first clause item type, determining target compliance rules based on the target clause item type, and performing compliance testing on the clause item to be tested according to the target compliance rules; if the target clause item type is a second clause item type, using a target large language model to perform compliance testing on the clause item to be tested. This invention combines the deep semantic understanding capability of a large language model with the accuracy of structured compliance rules, comprehensively improving the accuracy and comprehensiveness of design document compliance testing, and reducing the false positive and false negative rates of design document compliance testing.

The invention provides an intelligent low-code development control method based on multi-modal interaction driving, and belongs to the technical field of development control, and the method comprises the steps: 1, constructing a front-end subsystem for low-code development control; and step 2, constructing a back-end subsystem for low-code development control. Aiming at the problems that a traditional low-code system component is low in dragging efficiency and difficult to adapt to a complex business scene, automatic generation of a prototype graph / voice / character-front-end interface and detailed design document-back-end code is realized through deep fusion of a visual large model, a code large model and a multi-modal interaction technology, and the method is high in practicability and high in practicability. The purposes of reducing the development time by more than 50%, reducing the code error rate and unifying the code style are achieved, and an efficient and high-quality solution is provided for enterprise software development.

The application provides a software design document generation method, system, device and medium, the generation method comprises the following steps: obtaining source code, constructing a call tree reflecting the calling relationship between functions in the source code, and an independent root node not covered by the call tree; extracting the document segment of the independent root node, and in the direction from the leaf node to the root node of the call tree, taking each node in the call tree as the current node in turn, extracting the document segment and the function summary of each node of the call tree; and splicing the document segments of all nodes according to the call tree and the independent root node to generate the software design document of the source code. The application effectively breaks through the context window limit of the large language model and realizes the analysis of deep nesting and super large scale code.

The application discloses a co-lay part inspection method, device, equipment and medium, and relates to the technical field of PCB design. The method comprises the following steps: acquiring a co-lay part list in a schematic diagram document and a corresponding PCB design document respectively to obtain a first part document and a second part document; performing comparison and verification on the first part document and the second part document, deleting co-lay part information that is consistent in comparison from the first part document and the second part document to obtain a first target part document and a second target part document; and generating a co-lay part inspection result based on the first target part document and the second target part document. In this way, the co-lay part can be inspected, the situation of inspection failure caused by human error and oversight or misjudgment can be avoided, and the time cost of manual inspection can be reduced.

A data processing system and method for generating structural engineering documents using artificial intelligence (AI) is disclosed. The system comprises a memory storing a dataset of engineered structures, including instances of structural failures, and a machine learning model trained on the dataset to perform structural analysis and generate optimized design documents. The AI system receives input data specifying design requirements, simulates the structure's behaviours under various conditions, and generates structural engineering documents, including 3D CAD models, based on an optimal combination of materials. The system may include a feedback integration module for continuous refinement of the machine learning model, an analytics engine for performance monitoring, and an electronic filing integration for streamlining the design approval process. The AI system learns from past projects to rapidly generate code-compliant, cost-optimized, and resilient structural designs.

The invention discloses a data processing method and device, a vehicle, a storage medium and a program product, and relates to the technical field of data processing and the technical field of vehicles. The method comprises the following steps: acquiring design document data corresponding to an expected function of the vehicle-mounted control unit; demand extraction is carried out on the design document data to obtain an initial demand, and the initial demand is used for representing path information for achieving an expected function; the function cue word is used for driving the large language model to conduct demand analysis on the initial demand, a target demand in an entry form is obtained, the function cue word is determined based on a processing rule of the large language model, and the target demand is used for aided design of a test case corresponding to the expected function. According to the method and the device, the technical problems of low efficiency and high cost of a data processing method due to the fact that demand sorting analysis is performed on the design document depending on manpower in related technologies are solved.

Various examples describe the analysis of software architecture information using language models. Systems and methods are disclosed that parse architecture information associated with software, such as software architecture documents (SWADs), design documents, and / or source code, to generate relation diagrams associated with the architecture information. The systems and methods can then use the relation diagrams and one or more language models to analyze the architecture information. For example, one or more prompts associated with analyzing the architecture information can be obtained, with each individual prompt being associated with performing one or more analysis tasks. The one or more language models can then process input data that corresponds to the one or more prompts along with at least some of the architecture information (e.g.,(determined using relation diagrams) represent and process information that is assigned to the tasks.

To support generation of a checklist, the checklist enabling appropriate checks capable of securing design quality of a system.SOLUTION: A design document checklist generation support system includes: a case characteristic list determination unit 11 that determines characteristics of past cases from design documents of the past cases and checklists of the design documents; a checklist item validity / invalidity determination unit 12 that determines validity / invalidity of each item of the past checklist for each of the design documents classified according to the case characteristics; a determination model generation unit 13 that acquires the determined case characteristics and determination results of the checklist item validity / invalid determination unit 12 and generates a determination model for each of the case characteristics; a filter determination unit 22 that determines validity / invalidity of each check item of a checklist of a design document of a new case on the basis of the generated determination model and case characteristics of the design document of the new case; and an output unit 23 that outputs the determined checklist.SELECTED DRAWING: Figure 1

The invention discloses a data architecture generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining micro-service data and class model data of a target project, generating a physical model of a data architecture based on the micro-service data and the class model data, and generating a data architecture file in a target format based on the physical model. According to the method, upstream design results such as micro-service data and class model data of a target project can be imported, and a conversion request can be generated through one-key operation of a client, so that a physical model of a data architecture is generated based on the micro-service data and the class model data, and a user does not need to design the data architecture from a design document; on the one hand, the problem of low accuracy caused by inconsistent understanding of design documents by different users is avoided, the efficiency and accuracy of data architecture design are improved, on the other hand, the user can select the output format of the data architecture file and can use and browse the data architecture file without installing a professional tool, and the user experience is improved. And development and communication of data architecture design are facilitated.

An automatic design device includes a function for receiving an input of interest information that is a definition of a requirement to be satisfied by a system and an interest in a system, a function for generating a system configuration from the requirements, and a function for generating a design document for describing the system configuration in accordance with the interest information. The function for generating the design document extracts part of information from the requirement or the generated system configuration according to an extraction instruction included in the interest information to generate the design document.

A verification apparatus for verifying a design document for digital lithography includes a memory and a controller. The memory includes the design document. The controller is configured to access the design document and apply one or more compliance rules to the design document to determine a compliance of the design document. The compliance rules include at least one of the following: detecting non-orthogonal edges within the design document; detecting non-compliant overlapping structures within the design document; and detecting non-compliant interactions between a reference layer of the design document and a target layer of the design document. The controller is further configured to verify the design document in response to a comparison of a number of the non-orthogonal edges, the non-compliant overlapping structures, and the non-compliant interactions to a threshold.

The invention relates to a method and a system for automatically generating a SysML v2 visual analysis model of system engineering, belongs to the technical field of program analysis, and solves the problem that a traditional system engineering document cannot be effectively and automatically modeled in the prior art. The method comprises the following steps: converting an input initial system engineering design document into a document structured representation model; extracting related document contents from the document structured representation model according to user modeling requirements, extracting related knowledge entries from a pre-configured domain knowledge base, and extracting related case entries from a pre-configured modeling case library; and inputting the extracted document content, knowledge entries and case entries as context information into a large language model, and generating a SysML v2 visual analysis model of the system engineering by using the large language model according to the modeling requirement of a user. Based on the document structured representation model, the field knowledge base and the modeling case base, automatic analysis and modeling of the system engineering document are achieved.

Implementations herein leverage knowledge about historical process automation facilities to automate designing a new process automation facility. A first level design input may be processed to generate a first embedding that encodes design aspect(s) of the requested process automation facility with a degree of detail commensurate with a first level of a hierarchy reflected by design documents typically used to design a process automation facility. The first embedding may be used to find first level reference embeddings that encode design aspects of reference process automation facilities. Second level reference embedding(s) may be identified based on mapping(s) from the selected first level reference embedding(s). Each second level reference embedding may encode design aspect(s) of a respective reference process automation facility with a degree of detail that is commensurate with a second level of the design document hierarchy. Based on the second level reference embedding(s), template design document(s) may be provided.