47 results about "Modeling language" patented technology

The embodiment of the invention provides a modeling method and device for an airborne system function architecture model, computer equipment and a medium, and relates to the technical field of aviation architecture design, the method comprises the following steps: inputting a design requirement document into an airborne large language model, and in the large language model, under the structural constraint of an airborne system knowledge graph, establishing a design requirement document; the method comprises the following steps: extracting a logical relationship between entities required by airborne system modeling from a design demand document, screening a corresponding airborne meta-model according to the extracted logical relationship between the entities, and constructing a demand graph; constructing and outputting a text model of a concept scene, a text model of a task scene, a text model of a system function, a text model of a logic architecture and a text model of a physical architecture of the airborne system based on the demand graph; and inputting each text model into a system modeling language modeling terminal for visualization to obtain a multi-level functional architecture model of the airborne system. According to the scheme, the modeling efficiency, consistency and normalization are improved.

The invention relates to a visual process automatic arrangement method and system, and belongs to the technical field of computers.The method comprises the steps that a natural language requirement input by a user is obtained; modeling knowledge is determined, logic typesetting and structured processing are conducted on the natural language requirement input by the user and the modeling knowledge through a large language model LLM, and XML process definition data meeting the BPMN standard are generated; sending the XML process definition data conforming to the BPMN standard to a process engine so as to create a visual process model; and rendering the visual process model to a front-end interface for a user to review, and determining a review result. According to the method, business personnel can directly participate in process design without learning professional modeling languages such as BPMN, and a business-driven development mode is really realized.

The invention belongs to the technical field of model-driven system engineering and intelligent system modeling, and particularly relates to a test requirement formalized design method based on primitive intelligent extension. The method comprises the following steps: obtaining a semantic map, and defining semantic nodes in the semantic map as type modules or intelligent modules; instantiating the type module to obtain a type model instance node, and instantiating the intelligent module to obtain an intelligent model instance node; organizing the type model instance nodes and the intelligent model instance nodes into a model graph; constructing an extended state primitive, constructing a plurality of interactive combination states based on the extended state primitive, defining an intelligent migration mechanism and constructing an extended state machine diagram; respectively testing the model diagram and the expansion state machine diagram, and if the model diagram and the expansion state machine diagram are tested to be qualified, exporting the model diagram and the expansion state machine diagram; the method can solve the problems of dynamic behavior description fragmentation, multi-agent interaction mechanism stiffness and insufficient model reusability of a traditional system modeling language in intelligent system modeling.

The invention discloses a photoelectric system digital prototype function model generation method and device based on artificial intelligence, and belongs to the technical field of artificial intelligence and photoelectric system digital prototypes, and the method comprises the steps: inputting training data of an artificial intelligence model, carrying out semantic analysis, marking and key parameter extraction operation, and forming a knowledge graph; establishing a logic association and constraint relationship among the parameters; training an artificial intelligence model by using the analyzed training data, optimizing a preset general rule base of the artificial intelligence model, and constructing a photoelectric system modeling rule base and a photoelectric system artificial intelligence model; calling the trained artificial intelligence model of the photoelectric system, extracting a model demand, calling the modeling rule base of the photoelectric system, and generating a function model of the photoelectric system; and visually displaying the photoelectric system function model, modifying and updating the photoelectric system function model, and dynamically updating the optimization strategy. Different function model modeling languages can be selected according to actual system requirements, and an artificial intelligence algorithm is adjusted.

The invention relates to a method for realizing configuration change detection processing based on a large language model, which comprises the following steps: acquiring a configuration change execution scheme, and outputting configuration change key information by utilizing the large language model; obtaining current configuration information, and constructing a reference configuration version for parameter comparison for data storage; acquiring update configuration information by sensing a configuration change event and comparing with a reference version; and comparing the pre-published configuration update information output by the large language model with the actual configuration update information to obtain a parameter change detection result. The invention also relates to a corresponding system, device, processor and storage medium. According to the method, the system and the device for realizing configuration change detection processing based on the large language model, the processor and the storage medium thereof, key configuration information is extracted by starting from a configuration change scheme and utilizing the large model language recognition capability, configuration change content abnormity is accurately recognized, and the configuration change detection processing efficiency is improved. And a production fault risk point caused by configuration change can be effectively detected.

The invention provides a context adaptive speech recognition method integrating entity replication and vector retrieval, and belongs to the technical field of artificial intelligence. The method comprises the following steps: converting input voice into acoustic feature representation; converting the external entity dictionary into vector representation; screening out candidate entities through an index technology, and determining to generate output or copy entities from a standard word list according to a matching degree calculated by an attention mechanism; jointly optimizing the model by comprehensively optimizing the objective function, wherein acoustic modeling, language modeling, entity copying accuracy and entity distinguishing capability are included; continuously updating the index during training; in reasoning, in combination with beam search and confidence threshold mechanisms, selection is made between generation of outputs from a standard word list and copying of entities. In the aspect of recognition performance, a dynamic copy-generation fusion mechanism and a contrast learning strategy are adopted in the method, the accuracy of named entity recognition is effectively improved, particularly, the method is excellent in performance when proper nouns such as personal names and place names are processed, and meanwhile the distinguishing capacity for entities similar in pronunciation is enhanced.

The invention discloses a SysML-based satellite constellation architecture modeling method and system and a storage medium, and the method comprises the steps: analyzing a satellite constellation system strategy scene and a target described by a natural language, and building a satellite constellation architecture system layer model by using a SysML language; based on a system capability demand model in the constructed system layer model, building the system layer model by combining an RFLP (Restriction Fragment Length Polymorphism) method and a SysML (Systematic Modeling Language); analyzing designed functions in the constructed system layer model through a system forward design method, and respectively establishing a satellite platform model and a satellite load model by using an RFLP (Restriction Fragment Length Polymorphism) method and an SysML (SysML) modeling language; and extracting parameters from the constructed satellite parameter model, platform parameter model and load parameter model to carry out orbit design, and establishing a satellite orbit model by using an SysML language. According to the method, comprehensive and visual modeling of the satellite constellation from a macroscopic system to a microcosmic component is realized, the standardization, consistency and understandability of the model are greatly improved, and the modeling efficiency is improved.

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 an optimization method, system and device of a model language architecture and a medium, and belongs to the technical field of software development, the method comprises the steps that operation nodes in a model under the model language architecture are virtualized, and a node topology architecture graph of the model is extracted according to the number of C instructions generated by all modules in the model; in a node topology architecture graph of the model, tracing back from each output interface to an input interface to obtain a unit topology architecture of each output interface, and calculating the coupling degree of the unit topology architecture; setting a coupling degree threshold value T, if the coupling degree of the unit topology architecture is lt; if T is greater than T, combining the unit topology architecture with other unit topology architectures of which the coupling degrees are lower than T to obtain a coupling degree gt; a subsystem of T; if the coupling degree of the unit topology architecture is gt; if T, directly setting the sub-system as an independent sub-system; and obtaining an optimized model architecture. According to the method, the static analysis quality of the model can be improved, the unit test case design is simplified, the readability and quality of the generated code are improved, and the problem of complex model architecture optimization is effectively solved.

The invention relates to a system development method and device, computer equipment, a computer readable storage medium and a computer program product. Obtaining a system model constructed based on a first language; the first language is a semi-formalized modeling language; analyzing the system model to obtain an abstract instantiated syntax tree corresponding to the system model, and performing system analysis at least including system resource budget analysis based on the abstract instantiated syntax tree to obtain an analysis result; under the condition that the analysis result meets a preset condition, generating a target code of a second language matched with the system model based on the abstract instantiation syntax tree; the second language is a programming language. By adopting the method, the model development efficiency and quality can be 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.

This invention discloses a SysML-based visual modeling workflow configuration method, comprising the following steps: creating system design stages and sub-stages through a visual interactive interface, and setting operation items for each sub-stage; establishing a dynamic association mapping relationship between operation items and system modeling language model elements based on the semantic association method of the system modeling language, and converting it into an independent configuration file; automatically analyzing the upstream and downstream dependencies of operation items based on the configuration file; monitoring the execution status of each operation item in real time, and dynamically updating the execution status of sub-stages and stages according to the status; automatically providing recommended views and model elements for operation items, and generating design deliverables; automatically performing semantic association analysis of data conflicts; and recording the modification history of model elements for traceability management of design results. This invention provides an efficient, flexible, and traceable modeling workflow configuration method, significantly improving the accuracy and collaboration efficiency in the system design process.

The invention relates to an element-level version management implementation method and device based on SysMLv2, and the method comprises the steps: storing an evolution record of a model element according to an evolution triggering storage mechanism of the model element, and setting a plurality of version IDs of the model element based on the evolution record; a version management instruction is received, the version management instruction comprises to-be-managed model elements, and version elements which are in one-to-one correspondence with the model elements are created according to the evolution records corresponding to the model elements and comprise a current version, a version snapshot, version evolution, a creator and creation time; replacing the corresponding model elements with the versioning elements, and obtaining a current version in all the versioning elements to construct a model tree; and performing version management on the model elements through a plurality of version IDs based on the model tree constructed by the versioned elements. According to the method and the device, version management is carried out by adopting the model elements of the SysMLv2 modeling language, additional expansion is not needed, and version management with finer granularity can be realized.

The invention discloses an electronic and electrical interface design modeling language and a description method thereof, and belongs to the technical field of electronic and electrical architecture modeling, and the core process is as follows: firstly, ontology analysis is performed on the field of electronic and electrical interfaces, and a formal field meta-model containing a black box, a cable and other meta-classes and corresponding attributes and associations is defined; mapping the meta-class into a UML / SysML structural type, a meta-class attribute, a correlation corresponding structural type label and correlation; and finally, customizing function integration configuration through a modeling tool to form a graphical modeling language. According to the method, attributes and association definitions of all meta-classes are defined, and mapping rules from meta-models to constructs are standardized. The electronic and electrical interface design requirement / scheme stage exclusive modeling language blank is filled, design description standardization and imaging are achieved, the cooperation efficiency is improved, early crosslinking analysis is supported to reduce follow-up changes, and efficient development of an electronic and electrical system is assisted.

The application discloses a kind of offshore task planning and deduction simulation analysis method, and the knowledge data of war knowledge base is set war ontology knowledge base, and the model based on event ontology is designed in combination with ontology modeling language, the class of sea battlefield event ontology and the hierarchical structure setting of class are determined, and the sea battlefield rule file model is established to describe sea battlefield combat event, and the sea battlefield combat rule of the sea battlefield rule file model is obtained based on war semantic net rule;Sea battlefield combat rule is inferred according to BN reasoning engine module to obtain the execution event of sea battlefield combat rule;And the execution event is visualized by man-machine interactive system, and the expression of battlefield combat rule based on offshore task planning and deduction simulation is realized.

The invention discloses an intelligent VLA model language instruction noise filtering and robustness improving method, and aims to solve the problem that performance is reduced due to the fact that a VLA model is sensitive to natural language instructions containing irrelevant contexts. The method comprises the following steps: an instruction analysis module based on a large language model is used for receiving a natural language instruction containing noise; the noise detection and filtering module identifies and removes irrelevant contexts through semantic analysis; and the instruction reconstruction module is used for converting the filtered core instruction into a standardized instruction which can be executed by the VLA model. By constructing a processing flow of'user instruction-noise filtering-standardized instruction ', a noise-containing instruction is converted into a simple and clear executable instruction, and the robustness of a VLA model to language change is improved. The method is suitable for instruction preprocessing of the VLA model in an intelligent system, and the task execution success rate of the model in a real man-machine interaction scene can be remarkably improved.

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 belongs to the technical field of computer collaborative modeling, and discloses a system modeling language online collaborative modeling method and system in a network environment. The method comprises the steps that user modeling operation is packaged into an editing event through a browser side and sent to a server side, the server side conducts concurrency control through a multi-granularity locking mechanism, a system modeling language graph serves as the main locking granularity, and model elements serve as the auxiliary locking granularity; the browser end maintains a command execution queue, and multi-end state synchronization is achieved through a version field; the system supports a design intention interaction mechanism, allows a non-lock holder to request operation through an intention event, and allows a server to forward the operation to a lock holder and execute corresponding operation according to feedback, thereby realizing state consistency, concurrency control and intention communication in a collaborative modeling process.

The invention discloses a uaf-based simulation system integrated design method, and relates to the technical field of software architecture design, the uaf-based simulation system integrated design method comprises a method layer, a model layer and a data layer, the method layer comprises a demand argumentation stage and a planning argumentation stage, and the demand argumentation stage comprises the following steps: A1, system capability conceiving; a2, system requirement generation; A3, system structure design; A4, system scheme verification; the planning argumentation stage comprises the following steps: B1, system comprehensive evaluation; b2, system planning project management; b3, comprehensively evaluating system planning; and B4, generating a system planning scheme. According to a model-based system design thought, a unified system modeling language and a meta-model technology are adopted to construct a system overall structure, system design and simulation links are opened, and bidirectional driving design of consistency of system logic design and simulation space-time sequences is realized, so that the system design level and the design efficiency are improved.

A procedure involves generating a modeling language diagram that specifies a compiled version of program code. The modeling language diagram includes at least one node corresponding to at least one function in the program code. The procedure also involves identifying at least one function signature associated with a node state transition between nodes in the modeling language diagram. Furthermore, the procedure involves identifying a specific policy to be associated with the at least one function signature associated with the node state transition, using a large language model. The procedure further involves performing a policy compliance operation using the large language model, which ensures that a specific section of program code conforms to the specific policy. The specific section of program code is associated with the node state transition.Performing the policy compliance process involves generating a policy-compliant version of the specified section of the program code.

The invention relates to a jump sampling device of a clock domain crossing circuit, a detection method and a modeling method. The device is applied to verification of a clock domain crossing circuit. The device is represented by a hardware description language or a software coding modeling language; the device is used for generating a hopping signal under the condition that an input clock domain detects an input level of a signal to be sampled; and sampling the hopping signal in an output clock domain, and generating a target output signal in the output clock domain under the condition of determining that the hopping signal is hopped once. By adopting the method, the accuracy of cross-clock domain modeling can be improved.

The application discloses a kind of based on ontology's digital twin workshop multi-dimensional information fusion method, comprising the following steps: S1, according to the attribute characteristics of workshop physical entity resource, physical resource is classified, so that the modeling and management of different types of resources related activities standardization is standardized.S2, the same type resource attribute is divided according to the angle of description information, constructs workshop digital twin global ontology model based on ontology modeling language, forms workshop digital twin global ontology model library.S3, according to the application of twin workshop cross-domain multi-scene, constructs the local ontology model of physical entity under each scene, and completes each local ontology and the mapping of local ontology to global ontology.S4, according to the running condition of workshop under each scene, the characteristics of ontology model attribute value acquisition mode are combined, and the collection of local ontology model information under different scenes is completed.S5, according to the mapping relationship between global ontology and each local ontology, realize multi-scene digital twin multi-dimensional information fusion.

The invention provides a cross-modal abnormal semantic association analysis method for heterogeneous data. The method comprises the following steps: S1, constructing by adopting an ontology modeling language to obtain an account entity class ontology, a transaction entity class ontology, a semantic entity class ontology and a time sequence entity class ontology, and establishing an association relationship to form a domain knowledge ontology library; s2, collecting multi-source heterogeneous data, wherein the multi-source heterogeneous data comprises at least two of text data, voice data and behavior data of an account or equipment; s3, performing feature extraction on the multi-source heterogeneous data to obtain a plurality of feature vectors; s4, on the basis of the incidence relation established in the domain knowledge ontology library, converting and splicing the feature vectors through the projection matrix to form a unified semantic representation vector; and S5, analyzing the semantic representation vector based on a pre-configured hierarchical analysis strategy to obtain a corresponding anomaly judgment result. The method has the beneficial effects that the accurate, efficient and explainable perception and judgment of the cross-modal abnormal behavior can be realized.

Language models require resource-intensive training. As a result, retraining language models happens very infrequently even though new or custom words are needed at a much faster rate. By deploying a custom set of words, speech recognition may be performed using a previously trained language model and augmented with entries in a custom word list. A probability map is created for each token position predicted by the model. Next, potential positions for custom words are identified by calculating the probability ratio between the token selected by the model and the custom word token. The probability ratios are summed for the first, second, and last tokens of the custom words, and if the sum falls below a certain threshold, the position is recorded. Next, the word or words starting at the recorded position are identified and, using string comparison metrics, are determined the most likely candidates for replacement.

The invention relates to a code generation method and device based on a system model, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a system model constructed based on a first language; the first language is a semi-formalized modeling language; analyzing the system model and performing rule check; the rules comprise a standard rule and a user-defined rule, the standard rule indicates the rule meeting the first language requirement, and the user-defined rule indicates a constraint condition of code generation; under the condition that the rule check is passed, generating a target code of a second language matched with the system model based on an analysis result; the second language is a programming language. By adopting the method, the system model constructed by the semi-formalized modeling language can be accurately converted into the programming language code.

This invention discloses a SysML-based model merging method, comprising the following steps: acquiring first and second system modeling language model files to be merged, and parsing to obtain the attribute and semantic association data of model elements; performing fine-grained difference comparison based on the attribute and semantic association data of model elements to determine the differences in model element content; generating a structured and visualized difference interface with attribute and semantic association differences as the core; selecting to accept or reject difference processing instructions, identifying difference propagation paths and impact domain data; performing the merging and updating of model element attributes and associations; verifying the updated data and eliminating inconsistencies or omissions. This invention effectively improves the consistency and accuracy of model merging.

The application provides a modeling and model conversion method for automatic driving demand analysis, comprising the following steps: step 1, defining a UML extension meta-model; step 2, obtaining an intermediate model; and step 3, generating a target extension model. The application combines the abstracted concepts with the UML analysis model by analyzing and extracting the automatic driving related terms and concepts and the behavior characteristics of the automatic driving vehicle, realizes the extension of the UML class diagram and the activity diagram in the automatic driving field, formulates the model conversion rules according to the automatic driving concepts of the automatic driving system limited use case modeling language, and realizes the model conversion method based on the model conversion engine written in the Java language, so that the defects that the general model conversion method cannot process the RUCM4ADS model are made up, the efficiency and accuracy of the model conversion in the automatic driving field are promoted, the subsequent analysis and testing of the system demand are facilitated, and the accuracy of the demand modeling in the automatic driving field is improved.

This application relates to the field of unmanned aerial vehicle (UAV) technology and discloses a method for generating a modeling language for UAV swarm application scenarios. The method includes: constructing a task model to determine the three-level hierarchical relationship between the UAV swarm's scenario tasks, tasks, and sub-tasks, the collaborative relationships between tasks, and the collaborative relationships between sub-tasks; constructing a resource model to analyze the resources required by the task model and provide a unified resource description; constructing a constraint model to analyze the constraints of each UAV regarding resources, motion, environment, and time, and determining the constraints of the UAV swarm based on the constraints corresponding to each UAV; determining the BNF paradigm of the task model, resource model, and constraint model, and constructing syntax rules; constructing XML conforming to the BNF paradigm based on the syntax rules, and combining the results to generate a modeling language for UAV swarm application scenarios applicable to different application scenarios, providing a good underlying foundation for multi-UAV collaborative task planning.

The invention provides an ICD management method, system and device based on a model and a medium, and relates to the field of interface management, and the method comprises the steps: extracting and defining a function interface, a physical interface, a relation interface, an energy interface and a message interface based on a demand-driven RFLP architecture model; the method comprises the following steps: defining an airborne system modeling language ASML, integrating the ASML into a modeling tool, constructing a system architecture interface model, introducing meta-models into interfaces of different hierarchies as a core framework, and creating an interface definition template; based on the meta-model and a pre-constructed ICD data dictionary, defining an interface verification rule, and monitoring and verifying interface data; and performing version control on the model-based ICD management process, generating and updating a baseline version at a project milestone node, and outputting an ICD document in a standard format. According to the method, the standardization level, design efficiency and quality of airborne system ICD design are improved, and technical guarantee is provided for standardized design and management and control of complex system interfaces.

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.