1080results about "Software design" patented technology

The invention discloses a CAD automatic generation system and method based on intelligent model selection and application, and aims at achieving automatic modeling under the multi-modal design requirement. The system comprises a user interaction module for receiving multi-modal input such as natural language, sketch and voice; the intelligent demand analysis module is used for combining an industrial large language model and a product knowledge graph, combining semantic analysis and generating a structured demand; the intelligent model selection calculation module is used for matching the optimal parameter combination and the component list based on a multi-objective optimization algorithm; the CAD automatic generation module calls a parametric modeling engine to generate an editable three-dimensional model; the constraint solving module is used for processing hard constraints and soft constraints in real time and dynamically adjusting model parameters; and the model output and interaction module feeds back a design state and supports user iteration. The system realizes full-process automation from the design intention to the CAD model, improves the design efficiency and accuracy, and is suitable for the fields of mechanical design, intelligent manufacturing and the like.

Techniques for leveraging a large language model (LLM) in software development are described. A description of a software development task is received from a user. Data associated with the software system is obtained from a data source. An LLM is prompted to identify at least one aspect of the task which requires clarification from the user, at least partly by providing the obtained data to the LLM and asking the LLM to identify a question for the user which remains unanswered by the obtained data. The question is presented to the user. An answer to the question is received from the user. The LLM is prompted to respond to propose an implementation of the task at least partly based on the data associated with the software system and the answer received from the user. The proposed implementation is received from the LLM and caused to be displayed to the user.

The invention relates to the technical field of artificial intelligence learning, and discloses an AI-based scene decision interface dynamic generation and continuous optimization method. The method comprises the following steps: acquiring a user real-time interaction behavior sequence, task context information and an interface component library; fusing the codes to generate a real-time task state vector; predicting the probability distribution of the interface component required by the next decision step through the sequence prediction model; rendering a target interface according to the probability distribution and layout constraint dynamic combination; and calculating a reward value based on user feedback, and continuously optimizing the prediction model by utilizing reinforcement learning. According to the method, dynamic evolution and self-adaptive optimization of the interface along with user intention are realized, and the interaction efficiency and the user experience are improved.

The invention provides an ECU safety design method and device, a medium and a vehicle. The method comprises the steps of obtaining a knowledge graph; the knowledge graph comprises a plurality of entities and entity relationships among the plurality of entities; the plurality of entities include vehicle functions of the ECU of the vehicle, security levels of the vehicle functions, and security mechanisms; determining a target security mechanism matched with the function link from the knowledge graph according to the function link of the ECU; the function link is used for realizing the vehicle function of the ECU; the function link is determined according to an original system architecture diagram of the ECU; the knowledge graph comprises a target security mechanism; and adding the target security mechanism in the original system architecture diagram to obtain a target system architecture diagram. According to the embodiment of the invention, the accuracy of ECU safety design can be improved.

The invention discloses a complex system comprehensive multi-view consistency detection method based on a large model, and relates to the technical field of information system architecture design. The method comprises the steps that N view models to be detected are determined, and a rule base is constructed and formed; forming a triple set; performing rule retrieval on the triple set to obtain a corresponding rule subset; and constructing a complete prompt statement according to the prompt template and the rule subset, and reasoning the prompt statement by the large language model to obtain a consistency detection result. Based on the MBSE method, the ability of understanding, reasoning and applying knowledge in the field of system architecture and system engineering is remarkably improved, the automation degree, accuracy and robustness of multi-view consistency detection are improved, and the correctness, completeness and consistency of complex information system architecture design are guaranteed.

A system for a visual design system (VDS) includes storing at least one layout and an associated layout signature where the associated layout signature represents a hierarchical composition of the semantic types of the components; a unit to analyze components of an existing layout provided by a user of the VDS, to determine a component set signature, to compare it with at least one stored associated layout signature and to find a set of candidate layouts which are visually diverse and semantically similar to the existing layout; where the unit presents the set of candidate layouts to the user, updates the existing layout according to a user selected layout. It also includes an experiment system to create, run and analyze the results of at least one experiment using at least one of: A / B and multivariate testing on user selected layouts to provide information on user preferred layouts for the VDS.

The invention relates to the technical field of macro text processing, in particular to a non-macro identifier processing method in a macro reference row, electronic equipment and a medium, the method comprises the following steps: S1, obtaining storage information corresponding to each macro reference of the macro reference row, the storage information corresponding to the macro reference comprises a macro reference identifier, a line number in a macro expanded text of a macro reference line and an intra-macro identifier list corresponding to the line number in the macro expanded text of the macro reference line; step S2, obtaining non-intra-macro identifier positioning information and a corresponding to-be-added macro reference identifier in a macro expanded text of the macro reference line; and S3, adding the non-intra-macro identifier positioning information to an intra-macro identifier list corresponding to the corresponding to-be-added macro reference identifier. According to the method, the non-intra-macro identifier binding object after row expansion can be accurately and quickly referenced for the macro, and a debugging function is realized based on the binding object.

The invention relates to the field of interface component control, in particular to an interface component control method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a calling relationship of all interface components, and constructing a component calling graph based on the calling relationship; constructing a main function of the interface component according to the component call graph; when the obtained control command is a starting instruction of a to-be-started interface component, starting of the to-be-started interface component is controlled according to the starting command and a main function of the to-be-started interface component; when the obtained control instruction is a closing instruction of a to-be-closed interface component, closing of the to-be-closed interface component is controlled according to the closing instruction, the component calling graph and a main function of the to-be-closed interface component. According to the method, the multi-level interface component can be accurately controlled, and the display observability and logic control accuracy of the interface component are improved.

The invention relates to the technical field of software development management, in particular to a cloud platform collaboration method and system oriented to elastic resource scheduling, and the method comprises the following steps: dynamically collecting a development data source and a demand document, determining a developer capability portrait based on the development data source, and determining a task demand portrait based on the demand document; inputting the updated developer capability portrait and the task demand portrait into a preset matching model, and dividing the received to-be-processed project task into a plurality of groups of subtask sets based on the updated preset matching model; and determining a developer matching scheme of each subtask in the subtask set by using the updated optimization algorithm. According to the method, a static skill label is upgraded into a quantifiable and updatable dynamic portrait, an optimization function is constructed by multiple targets such as skill matching degree, load balance, project priority and cooperation cost, and a specific implementation method of an optimal developer matching scheme is solved for an atomic task.

The invention relates to the technical field of informatization system development, in particular to a natural language-based complex data model generation method, which comprises the following steps of receiving business requirement input in a natural language form, preprocessing and normalizing input contents, processing ambiguity and incompleteness of requirements through a multi-round dialogue complementation mechanism, and generating a complex data model. Obtaining a complete and clear business demand description; and carrying out deep semantic analysis on the normalized business requirements by adopting a large language model. Aiming at the pain points that an existing data modeling technology is high in threshold, low in efficiency, difficult in quality guarantee, weak in integration adaptation and the like, the method has the remarkable advantage of multiple dimensions, non-technical background personnel can directly input service requirements through natural language interaction and deep semantic analysis on the premise of reducing the technical threshold, database knowledge and SQL specifications do not need to be elaborated, and the method is suitable for large-scale popularization and application. The cognitive gap of business and technology is spanned, the dependence on professional design talents is reduced, and the learning cycle of green hands is shortened.

The invention relates to the field of mobile applications, and particularly provides a cross-platform mobile application system and a task processing method thereof, a terminal and a medium, and the system comprises a cross-platform application framework layer which is used for constructing an interface and processing an interaction event; the core intelligent layer is constructed based on an AI agent development suite and is used for dynamically scheduling an AI agent according to a user intention and an application state; the AI agent pool comprises a plurality of agents with independent functions; the native function interface layer is used for bridging and calling native hardware functions of the equipment; and the large language model service interface is used for accessing large language model service. The method comprises the steps of receiving and standardizing a user event, analyzing a user intention, dynamically scheduling an agent to cooperatively execute a task, and finally updating a user interface by calling a native hardware function or accessing a large language model to enhance the capability. The intelligent level, the development efficiency and the user experience of the mobile application are improved.

The invention discloses a project management method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of software development control, and the method comprises the steps: managing the construction path, output path and other information of a nested warehouse project through a unified configuration file, and achieving the centralized definition of a multi-project construction process; the problem of packaging dispersion caused by separate management of the sub-modules is avoided; the unified construction environment is initialized based on project information of centralized configuration, it is ensured that the dependency relationship of all modules and the construction process are coordinated and consistent, and the stability and reliability of the construction process are enhanced; command generation logic is constructed in a standardized mode, configuration complexity and later maintenance cost are reduced, and unified management and control of the process are achieved; through a centralized management mode driven by configuration, the defect of processing multi-warehouse construction deployment depending on manual scripts is eliminated, repeated labor is reduced, and development efficiency and project agility are improved.

The invention discloses a satellite communication terminal application software modular design method, which is suitable for an ARM (Advanced RISC Machines) architecture Linux platform and aims to solve the core defects of traditional satellite terminal software. The method comprises the following steps of: firstly, dividing 14 independent modules by combining platform characteristics and business requirements, and interacting the modules through a standard interface adaptive to the bottom specification of the platform; secondly, a main process and multiple sub-threads framework is adopted, the main process initializes system resources and pulls up the sub-threads of all modules, and the sub-threads support dynamic loading / unloading and fault restarting through IPC cooperation, so that overall collapse is avoided; and finally, abstracting driving logic through a hardware interface module, realizing multi-hardware compatibility in combination with a common function of a common module, and monitoring the state by means of an alarm and log module to ensure stable operation.

The invention discloses a low-code development system and method for multi-agent collaborative application, and the method comprises the steps: creating a plurality of agents in a management and scheduling engine, and configuring a special model, a knowledge base, a plug-in tool and other specific functions for each agent; dragging a front-end component to a graphical interface through a low-code front-end construction module, combining into a front-end page, and configuring component attributes; through a workflow arrangement module, target nodes are dragged in the graphical interface, an execution sequence and a data flow direction between the target nodes are established through connecting lines, and target workflow is generated; establishing an event response mechanism and a data rendering mechanism between a front-end page and a target workflow through a front-end and rear-end converged communication module; and binding the front-end page and the target workflow through an application management and deployment module, packaging the front-end page and the target workflow into an independent application, and issuing and managing the independent application. The full-process low-code development of multi-agent collaborative application is realized, and the development threshold and technical requirements of complex AI application are remarkably reduced.

The invention relates to the technical field of cloud native software engineering, in particular to an intelligent cloud workflow generation management platform fused with a large language model, and the platform comprises a working condition modeling module which is used for automatically constructing a system protocol model comprising a formalized design protocol and an expected performance target based on stock codes, real-time traffic and telemetry data; the adversarial refining module is used for realizing automatic generation, verification and correction of candidate workflow codes through an adversarial iterative loop of a generative language model and a verification engine until no new counter example is generated; and the deployment decision module is used for performing quantitative risk assessment based on the iteration history and executing automatic deployment decision and authorization. According to the invention, the problems of dependence on manpower, low efficiency and unstable quality in the traditional development process are solved, and automation, quantification and high reliability of the whole workflow generation and management process are realized.

The invention belongs to the technical field of aviation airborne system design, and provides a helicopter airborne system-oriented novel software architecture and a construction method thereof, and the architecture comprises a hardware abstraction layer, a framework resource layer, an intelligent platform service layer and an application software layer from bottom to top. And the hardware abstraction layer realizes decoupling of hardware and basic software of an operating system. The framework resource layer supports operation of a hybrid key operating system, supports and isolates tasks and application programs with different key levels, software bases and computing power requirements, and provides basic computing communication resources and AI computing power resources. The intelligent platform service layer comprises middleware, a servitization function unit and a servitization management unit, and the servitization function unit comprises atomic services and enhanced services. And the application layer interacts with the intelligent platform service layer and is decoupled from a bottom software and hardware environment. The framework is suitable for unmanned / manned helicopters, and generalization of platform support and maximum reuse of software assets are achieved.

The invention belongs to the technical field of financial science and technology, and discloses a multi-agent collaborative document-driven quantitative research and transaction self-evolution system and method. The system adopts a layered architecture, comprises a data and factor service layer, an execution engine layer, an agent layer, an interface service layer and a front-end control layer, and aims to solve the core problems that research and engineering implementation are separated in quantitative strategy research and development, code generation lacks interface constraints and strategies lack self-evolution ability. According to the system, through cooperative work of a research agent, a factor agent and a coding agent, a strategy idea described by a natural language is automatically converted into a standardized document, configuration and executable code; through a closed loop formed by self-monitoring, self-diagnosis and self-improvement intelligent agents, automatic diagnosis and optimization of problems of strategy overfitting, factor attenuation and the like are realized, continuous self-evolution of the strategy is driven, and full-life-cycle automatic management from strategy conception, factor design, automatic coding and real disk back-testing to feedback autonomous optimization is realized.

Various embodiments of the present disclosure include systems, methods, and / or apparatuses for executing an agentic-AI-based software modernization system. An example system may be configured to receive one or more portions of monolithic legacy code of a legacy software program product, the monolithic legacy code comprising a plurality of code segments, group the monolithic legacy code by functionally related code segments of the plurality of code segments to define a plurality of groups, generate an API for each identified group, generate modern microservice code for each identified group to define a modernized software program product, and validate the modernized software program product.

The invention provides a complex scene-oriented multi-modal AI Agent integrated development method and system, and the method comprises the steps: generating a layout graph G in an integrated development environment, and carrying out the consistency verification to obtain a constraint set C; a graph neural network is adopted to represent the arrangement graph to obtain graph embedding Z, and an environment state s is formed by combining key performance indexes in a sliding window; and in an action space AC limited by the C, jointly deciding computing power node selection, concurrent resource quota adjustment and semantic caching or semantic routing parameter configuration according to a reinforcement learning strategy pi, and executing actions to optimize throughput, tail delay, failure rate and resource contention degree. Through a closed loop of verification-constraint-learning-execution-monitoring-updating, cross-modal consistency and computing power scheduling are integrally optimized, training convergence and online stability are improved, long-tail time delay and the failure rate are remarkably reduced, the resource utilization rate is improved, and the method is suitable for large-scale popularization and application. The method is suitable for the fields of medical diagnosis, industrial quality inspection and equipment maintenance, retail recommendation and shopping guide and the like.

The invention provides an automatic software development system based on multi-agent cooperation, and the system comprises a demand analysis agent which is used for receiving a natural language demand input by a shared working area, generating a demand specification document containing an acceptance standard based on the natural language demand, and sending the demand specification document to the shared working area; the detailed design agent is used for receiving a demand specification document input by the shared working area, performing system design based on the demand specification document, generating a design specification document and sending the design specification document to the shared working area; the project development agent is used for receiving a design specification document input by the shared working area, performing code development based on the design specification document, generating an executable code and sending the executable code to the shared working area; and the shared working area is used for storing and forwarding the natural language demand input by the user and the output of the demand analysis intelligent agent, the detailed design intelligent agent and the project development intelligent agent. The development efficiency can be improved, the labor cost is reduced, and the software quality is improved.

Device for the intelligent encapsulation of legacy data information systems with the integration of artificial intelligence, comprising: a collection unit for legacy interfaces, configured to intercept communication data from existing platforms; a semantic interpretation unit designed to analyze and map data structures and process semantics; a contextual abstraction layer designed to convert interpreted information into standardized, interoperable formats; a policy-driven management module that ensures secure access, Data transformation and regulatory compliance are ensured; and a learning and inference unit for adaptive optimization of data mappings and operational logic.

Solutions for more efficient and effective predictive code recommendation are disclosed. In one example, a method includes identifying a graph-based code recommendation machine learning model, wherein each inferred edge weight value of the graph-based code recommendation machine learning model is updated based at least in part on each compressed forward-adjusted temporal distance measure for an observed co-occurrence of any observed co-occurrences of a predictive code pair for the inferred edge weight value within one or more temporally-proximate occurrence subsets determined based at least in part on a plurality of training predictive code occurrences; processing the input predictive code using the graph-based code recommendation machine learning model to generate one or more related codes of the plurality of predictive codes for the input predictive code; and performing one or more prediction-based actions based at least in part on the one or more related codes.

The invention provides a version comparison method and device of a service model and a storage medium. The method comprises the following steps: receiving a comparison request sent by a client to the service model; querying model object instances of the business model under multiple versions according to the comparison request; annotation information is added to metadata in the model object instance; comparing metadata in the plurality of model object instances according to the annotation information to obtain version difference information; and sending the version difference information to the client for display. According to the embodiment, based on a differentiation comparison strategy of annotation information, the object hierarchy and the set element structure with the complex nested relationship in the business model can be deeply analyzed, the change of the attribute value can be detected, deep structure differences such as the change of the object reference relationship and the logic increase and decrease of the set element can be more accurately identified, and the service performance of the business model is improved. And comprehensive and accurate model change information is provided for the user.

The invention relates to the technical field of macro text processing, in particular to an intra-macro identifier position information acquisition method, electronic equipment and a medium, and the method comprises the following steps: setting a corresponding macro virtual file for each macro reference in a chip design code original file; loading a chip design code original file, and obtaining initial position information of an identifier in each macro based on a macro virtual file corresponding to each macro reference; expanding each target macro reference in a target code line in the original file of the chip design code to obtain a target macro expanded text; obtaining a column position offset and a row position offset corresponding to each target macro reference based on the target macro expanded text and the macro initial expanded text of each target macro reference; and generating position information of the intra-macro identifier in each target macro reference in the target macro expanded text based on the column position offset and the row position offset corresponding to each target macro reference and the initial position information of the intra-macro identifier in each target macro reference.

A peripheral device workspace cloud orchestrator executing at an information handling system may comprise a hardware processor executing code instructions to define user experience categories for existing peripheral device workspaces identified by peripheral device workspace identification value and a list of peripheral devices operatively at identified locations coupled to user information handling systems acting as anchor nodes for the existing peripheral device workspace and to recommend setup, for each of the user experience categories, a number of reconfigured peripheral device workspaces needed to handle execution of user workloads for all enterprise users based on previously received telemetry measurements for each of the user information handling systems, wherein each of the user experience categories includes a telemetry reading describing a user workload pattern for an anchor node and a combination of peripheral device functional capabilities for the existing peripheral device workspace for handling the user workload.

The invention discloses a development management system and method for an API interface, and relates to the technical field of software engineering. The system comprises: an intention understanding and design engine, which analyzes a multi-modal service demand into a structured API development task; the agents collaboratively develop a network, and the multiple AI agents are dispatched to generate API specifications, codes, test cases and deployment configurations in parallel; the API ecological dynamic map construction module is used for automatically constructing and updating a dynamic map of dependency and data flow direction between APIs based on a generated product; a continuous learning and evolution engine analyzes the atlas and operation data to identify optimization points and generate or execute evolution policies. All the modules form a closed loop, and output of the evolution engine is fed back to the intention understanding engine to optimize subsequent design. The corresponding method comprises the steps of demand analysis, intelligent collaboration, atlas construction and closed-loop optimization. According to the method, automatic development, intelligent collaboration and continuous architecture optimization of the API are realized, and the development efficiency and the system maintainability are improved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a data pipeline construction method, device and equipment and a medium, and the method comprises the steps: receiving a target data set and a task processing target, and generating a data general situation report through a data perception intelligent agent; generating and updating a solution strategy by utilizing a strategy planning agent based on the data general situation report, constructing an executable code script by utilizing a code generation and execution agent, and running in a sandbox environment to obtain a processing result; and executing grammar and logic verification by using a quality verification agent, submitting staged review after the verification is passed, and promoting the next stage to complete assembly line construction. According to the method, a closed-loop process of data understanding, strategy planning, code generation, execution and verification is realized through cooperation of multiple agents, and the automation degree and the processing reliability of data pipeline construction are improved.

The invention belongs to the technical field of artificial intelligence middleware and cloud computing task arrangement, and discloses an agent arrangement system and method based on a graph structure and a response type programming technology. Comprising a graph structure construction and compiling unit, a node operation unit, a routing and confluence control unit, a graph signal and event management unit and a response type operation and execution regulation and control unit, and an execution path has integrity and verifiability before deployment through analysis of a service graph, topology verification and confluence supplementation of parallel branches; the nodes trigger execution according to graph signals and write products into a result data area or a shared data area, and the routing and confluence control determines a convergence mode of signal transmission and parallel branches according to a connection predicate and a confluence rule. The event management unit generates a structured event for a node operation state, and the operation regulation and control unit schedules through a leading edge queue and in-transit counting and feeds back a back pressure signal to the upstream when a load changes, so that stable propulsion of a graph structure is realized.

The invention relates to the technical field of software engineering automation of digital data processing, and discloses a game development automation method based on a multi-agent system. The method is used for solving the problem that a machine-readable cross-product dependence model and consistency verification are lacked in a traditional method. According to the method, based on a task list freezing project context, a constraint packet and a threshold aperture, and based on a demand account book and registration demands, constraints, codes, configuration, resources and other entry abstracts, version information and strong and weak reference relationships; the multiple agents only submit change packets in a temporary storage area by writing tokens and occupying fragmentation write-in gating, and an influence range report binding verification list is generated for each change packet; boundary compliance, reference integrity, compilation verification, determinacy operation verification and acceptance assertion verification are sequentially carried out on the temporary storage area snapshots, and when conflicts occur, rollback or confinement repair is triggered to output traceable and acceptance deliverables based on reproducible evidence judgment.

The invention relates to the technical field of simulation training application integration frameworks based on micro-service architecture, and discloses a simulation training application integration framework method and system based on micro-service architecture. According to the simulation training application integration framework method and system based on the micro-service architecture provided by the invention, a simulation training process is divided into a preparation stage, an execution stage and an evaluation stage, and independent data storage spaces and communication rules are respectively configured, so that the isolation and controllability of task processing of each stage are remarkably improved; and inter-stage data interference is avoided. A staged resource use monitoring mechanism is introduced, a dynamic capacity expansion and contraction strategy based on service request changes, the CPU utilization rate and the memory occupancy rate is achieved, the system resource utilization rate is effectively improved, and the operation stability is guaranteed. By setting copy health detection and copy switching logic, fault copy elimination and automatic taking-over of healthy copies are realized, and the fault-tolerant capability and service continuity of the system are enhanced.