7 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.

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 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 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 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 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.