15 results about "Unified Modeling Language" patented technology

The invention provides a product full life cycle data model construction and association method, system and device and a medium, and relates to the field of weapon equipment digitization. According to the method, a data model architecture is determined by analyzing light weapon full life cycle data, and a unified modeling language is used for carrying out model building on a meta-model layer, an abstract model layer and an object instance layer. On the basis of a constructed light weapon development and production process data model, a light weapon product data association rule is constructed from the perspective of application. Based on the constructed association rule and the light weapon product data model, combining the data with the association rule, constructing a light weapon product data association relationship, and associating the light weapon product data through unique identifiers such as a product code, a batch number, a system code and the like. The method provides a basis for application of quality problem tracing, rapid fault diagnosis and positioning, product digital resumes, knowledge maps and the like in the whole life cycle, and the light weapon whole life cycle data acquisition efficiency can be effectively improved.

The invention discloses a method and a system for establishing a network attack and defense simulation model. According to the method, firstly, a unified modeling language is adopted to carry out formalized definition on assets, association relationships and atomization attack and defense behaviors, and standardization and reuse of description are achieved; and secondly, constructing a dynamic quantitative judgment model based on the formalized definition, and performing quantitative deduction on the behavior success rate by extracting key factors and integrating capability coefficients. Finally, after specific scene configuration is loaded, an attack and defense sequence is triggered according to behavior rules, a decision model is called for successive judgment, and a simulation result is output. According to the method, the consistency and the configuration efficiency are improved through standardized definition, the prediction accuracy is improved through dynamic quantitative judgment, and multi-scene flexible adaptation and efficient extension are achieved through modular design. Through verification, the method has excellent deduction efficiency in a large-scale complex scene, and can provide accurate simulation support for network security decision.

Generating architecture solutions is provided. An Extensible Markup Language Metadata Interchange (XMI) representation of a Unified Modeling Language (UML) model corresponding to an architecture solution is generated based on a set of instructions in a predefined format. The UML model corresponding to the architecture solution is generated based on the XMI representation of the UML model.

The application provides an AI-based object-oriented business object modeling method, medium and system, belongs to the technical field of AI-based object-oriented business object modeling methods, media and systems, and solves the technical problem of low business object recognition accuracy caused by low-frequency long-tail distribution of professional terms in natural language text of industrial business requirements by receiving industrial business requirement text, using natural language processing technology and an industrial vertical field continuous pre-training corpus to complete standardized mapping, inputting standardized text into a hierarchical gated knowledge injection double-flow encoding model to identify core business objects, attributes and classification labels, and then automatically generating a business object model of a unified modeling language specification through an artificial intelligence model combined with a Monte Carlo tree search heuristic sampling strategy and a VF2++ graph matching algorithm, and finally calculating a field bias comprehensive score according to verification feedback of business personnel and adaptively fine-tuning model parameters.

The application discloses a kind of index verification methods of supporting model attribute quantification evaluation in the field of system engineering technology, comprising the following steps: using model-based system engineering method, construct the system engineering model of problem solving;According to the requirement and constraint of model, the verification script of the constraint condition not changing with time in system model is contained by using KARMA language index verification part syntax definition;Index verification compiler compiles KARMA language index verification text, calls solver based on satisfiability module theory;The method is developed based on GOPPRR modeling theory, can support the establishment of multi-architecture model, not limited to the model of a certain field, the expression of model relationship, constraint condition and verification object is realized by using the mode of combining satisfiability module theory and GOPPRR modeling theory, the unified modeling language is extended by using satisfiability module theory, supports the interaction of modeling data and solving data, and reduces the learning cost of engineering personnel.

The invention provides a multi-physics field semi-physical joint simulation system and method. The system comprises a multi-physics field simulation system, a modeling simulation management platform and a spacecraft minimum safety physical system. And the multi-physical simulation system is respectively connected with the modeling simulation management platform and the spacecraft minimum safety physical system through a data bus. According to the method, a unified modeling language is adopted, simulation based on energy flow and complex coupling scenes and energy flow semi-physical simulation built based on an FPGA are supported, microsecond-level synchronization of the model and a physical system is achieved, the problem that attitude control dynamics and a control model cannot be jointly simulated with the energy flow in the time dimension is solved, and the method has the advantages of being high in reliability and high in reliability. And information model coupling fault joint simulation is realized.

The invention relates to a UML (Unified Modeling Language) model-oriented event-driven behavior code automatic generation method and system. The method comprises the following steps: exporting an XMI file containing class, activity and state machines from a UML (Unified Modeling Language) modeling tool, constructing a document tree through DOM (Document Object Model) analysis, and extracting meta-model elements and relationships thereof; and generating attributes and methods of the main class and the associated class and Java source codes of the main method according to an analysis result, taking the main method of the main class as a simulation / operation entry, and calling the main method of the associated class during operation. Aiming at the behavior type of the classifier: when the behavior type is Activity, traversing an identification sequence, branching / merging, parallelizing / synchronizing and circulating from an InitialNode, constructing a behavior control flow diagram, decomposing the behavior into SimpleTask and LoopTask, and generating a Java code containing an Execute method and a scheduling statement; and when the state conversion diagram is the StateMach, reconstructing the state conversion diagram and generating a state machine instance and a StateMach Runner operation management type instance code, thereby realizing migration execution driven by a signal event and a time event and mixed triggering of the signal event and the time event and the activity. The method is suitable for the field with high requirements for model consistency and rapid verification.

The invention discloses a satellite Internet of Things cloud edge intelligent collaborative information modeling method and system, and the method comprises the steps: constructing a four-layer meta-modeling architecture based on a unified modeling language (UML) (M3 meta-model layer defines a language basic structure, M2 meta-model layer generates a terminal description model, M1 application model layer stipulates equipment public attributes and behavior protocols, and M1 application model layer stipulates equipment public attributes and behavior protocols; the M0 object model layer provides a real-time data instance), and the problem of heterogeneous terminal standardization deficiency is solved; the method comprises the following steps of: integrating three elements, namely a static attribute (equipment identity information), a dynamic attribute (physical quantity change data), a message (abnormal state report) and a service (remote action command) to form a terminal holographic portrait; a JSON lightweight data exchange format is adopted to replace XML, and element information is serialized and described through a key value pair, so that the storage and transmission overhead is remarkably reduced. And B, unified description of a terminal model is realized, consistent data input is provided for cloud edge collaboration, the fault positioning efficiency is improved, and open sharing and fusion application of satellite Internet of Things data is supported.

The invention provides a data processing modeling system based on a unified modeling language. The data processing modeling system comprises a business description layer and a calculation description layer, the business description layer is used for defining business attributes of the data processing model, including model basic information, model organization information and operator description information; the calculation description layer standardizes and executes the specific calculation logic of data processing based on the service attributes of the service description layer, and the calculation description layer comprises an input module, an execution module and an output module; the input module is used for standardizing and unifying data source description and multi-center description, the execution module is used for unifying SQL grammar and computational logic according to the specification of the input module and executing the computational logic to obtain a computational result, and the output module is used for selecting an output form and outputting the computational result. According to the method and the device, services and technologies are decoupled, the data processing efficiency and compatibility across data sources and computing environments can be improved, the method and the device are adaptive to complex data distribution scenes, and ordered conversion from service requirements to data computing execution is realized.

The invention provides a digital twinning modeling and intelligent visualization system for a discrete manufacturing workshop, and aims to solve the problems of high cost, difficulty in maintenance, poor flexibility and the like of digital twinning modeling of the discrete manufacturing workshop at present, and a modeling method of four dimensions including three-dimensional modeling, logic modeling, behavior modeling and connection modeling is constructed. According to the invention, a modularized digital twinning modeling process is provided, and information such as equipment, a production line and a process in a workshop is fused; the method comprises the following steps: carrying out content such as operation flow, man-machine interaction and multi-device linkage in production, and establishing data connection by utilizing an industrial Ethernet. The multi-dimensional model is subjected to fusion matching based on a Unity 3d platform, information, data and model fusion is carried out by utilizing a unified modeling language (UML), and the information, the data and the models are integrated into the Unity 3d platform, so that model building is realized. A digital twinborn model is utilized to build an intelligent visualization system, a three-dimensional model and a connection model are combined to realize a production process visualization function, and a logic model and a behavior model are combined to realize a production operation flow simulation rehearsal function.

The application provides a test method and device based on a unified modeling language (UML) flowchart and a medium, and relates to the technical field of computers. The method comprises the following steps: acquiring all executable paths of a target UML flowchart; inputting a test data set into an initial executable path and acquiring the node types of each node in the initial executable path, wherein the test data set comprises multiple test data; determining the current executable paths of each test data by using a preset path switching algorithm according to the node types of each node; inputting each test data into each current executable path and outputting the test results of each current executable path. By applying the embodiments of the application, batch testing of the target UML flowchart can be implemented, and the executable paths can be flexibly switched according to the test data set during the testing process. Compared with the prior art, batch and automatic testing can be implemented, and the testing efficiency of the target UML flowchart can be improved.

The invention relates to an engine fault model generation method and device, an engine fault analysis method and device, equipment and a medium. The method comprises the following steps: constructing an engine normal system model based on a Modelica language; constructing an engine fault mode library based on the normal system model, wherein the engine fault mode library comprises a fault model corresponding to at least one fault type; selecting a target fault model corresponding to a to-be-analyzed fault type from the engine fault mode library; and integrating the target fault model into the normal system model according to a preset fault injection strategy to generate a fault injection simulation model. According to the application, through a Modelica multi-physical domain unified modeling language, modular modeling and component multiplexing of a complex system are supported, a connector mechanism can realize multi-subsystem coupling, the compatibility is good, and various types of subsystems can be coupled.

The invention provides a Java source code analysis-based UML (Unified Modeling Language) time sequence diagram automatic generation method, which comprises the following steps of S1, converting a Java code into a corresponding abstract syntax tree, filtering out all class declaration nodes in the abstract syntax tree, and traversing the class declaration nodes and method child nodes through a traversal algorithm to obtain class information and method calling information; s2, according to class information extracted from the source code, integrating class names, method names and method calling information among classes through a Plant UML code generation algorithm so as to obtain a Plant UML code capable of automatically generating a UML time sequence diagram; and S3, drawing a time sequence diagram of the Java source code by utilizing a Plant UML (Unified Modeling Language) tool. According to the UML time sequence diagram automatic generation technology based on Java source code analysis, the procedure of a program can be visually reflected, the situation that class information and class calling relations can be obtained only by checking tedious source codes is avoided, and the readability and maintainability of codes are improved.

The application discloses a polar region moving base alignment method and device based on a unified modeling principle, and a medium, and the method comprises the following steps: acquiring sensor data and satellite receiver data; a vector observer model is constructed by using a unified modeling method; the vector observer model is discretized, a vector difference method is designed to optimize the discretized vector observer model, and a velocity error at an initial moment is obtained; attitude estimation is performed by using an OBA algorithm based on the optimized vector observer model; calibration is performed based on the attitude estimation value, and the above steps are repeated until a set calibration time length or iteration number is reached. By constructing the vector observer model by using the unified modeling method, the application can eliminate the influence of polar region singular points on initial alignment, and solves the problem that the azimuth is affected by the convergence of the longitude in the polar region alignment process.

This paper proposes a rapid simulation method for the full-process dynamics of a launch vehicle based on the Modelica language, aiming to address the limited model reusability and adaptability of traditional simulation methods. By leveraging the object-oriented nature of the Modelica language, this method constructs a comprehensive dynamic model that integrates multiple subsystems, including the propulsion system, control system, and aerodynamic model. The specific steps include: first, constructing an overall model of the launch vehicle and defining time-varying parameters to accurately calculate key parameters such as propellant consumption, moment of inertia, and center of mass position; second, analyzing the impact of different design parameters on rocket performance through simulation to proactively identify and resolve potential issues; and finally, analyzing the simulation results to ensure the accuracy and reliability of the model. The innovation of this method lies in its modular design and multi-domain collaborative simulation capabilities, which not only significantly improve the model's reusability and adaptability but also effectively support rocket design optimization, mission planning, and control strategy formulation. This method not only reduces R&D costs but also accelerates the advancement of aerospace technology, possessing broad application prospects.