27 results about "Conceptual model" patented technology

The invention discloses a cutterhead structure design method combining topological optimization and finite element analysis, and belongs to the technical field of aerospace high-performance cutting tool design and manufacturing. The technical problems that a traditional cutter head depends on experience design, and rigidity, chip removal and heat stability are difficult to balance are solved. According to the method, a parameterized model is established, multi-working-condition loads including cutting loads, dynamic excitation and thermal-mechanical coupling are defined, a topological optimization technology with multi-working-condition weighted flexibility minimization as a target and a material volume fraction as a constraint is adopted, and a material optimal distribution cloud picture is generated based on a variable density method; geometric reconstruction and engineering semantic interpretation are carried out on an optimization result, and a material enrichment region is converted into engineering characteristics such as an internal reinforcing rib and a variable spiral transition structure, so that a lightweight high-performance conceptual model is formed; finally, through multi-working-condition finite element verification and manufacturing manufacturability analysis, a final design scheme meeting the requirements for strength, rigidity, dynamic characteristics and thermal stability is obtained through iteration.

The invention relates to a multi-agent-based bionic domain knowledge graph automatic construction method and system. The method comprises the following steps: constructing a bionic domain conceptual model; establishing a multi-agent system, and automatically extracting bionic entities and semantic relationships between the entities from an unstructured text; carrying out multi-dimensional collaborative verification on the extracted knowledge; based on a Delphi method consultation mechanism, collaborative decision making is carried out on verification results; and performing alignment and fusion on the verified knowledge to form a structured bionic domain knowledge graph. According to the method, three core technologies of a field fine-tuning multi-agent system, a multi-dimensional collaborative verification mechanism and Delphi method consultation decision are fused, so that automatic and high-efficiency construction of the bionic field knowledge graph is realized, and the generated knowledge graph has accuracy and comprehensiveness; the technical problems that a traditional construction method is low in automation degree and the knowledge accuracy is difficult to guarantee are effectively solved, and key knowledge infrastructure support can be provided for bionic theoretical research and technical innovation.

The present invention discloses a mine disaster tracing method based on a knowledge graph, applied in coal mine safety. First, a mine disaster-related knowledge graph is built, involving three main steps: constructing a conceptual model, extracting entities from relational databases and geological maps, and establishing entity relationships based on location and process logic. Next, characteristic indexes and transmission rules for entity objects are set, categorizing entities into four types: discrete reporting, continuous monitoring, geological structure, and geological continuity. When an early warning occurs, disaster tracing is performed using the entity transmission rules and a graph traversal algorithm, identifying direct and root causes. This invention offers systematic and timely disaster tracing by utilizing a specialized knowledge graph and graph algorithms.

The invention relates to the technical field of construction of pollution site models, and particularly discloses a construction method and system of a conceptual model of a pollution site, an initial conceptual model of the pollution site is constructed by integrating multi-source heterogeneous data of the pollution site, a space-time coupling relation of pollution source-migration path-acceptor is described in a parameter matrix form, and the conceptual model of the pollution site is constructed. Then, further decomposing the field prior information model parameter matrix into independent units, taking feedback information of a benefit related party as a constraint condition, and performing panoramic semantic scanning query on the field prior information by utilizing a natural language processing technology and a semantic query algorithm; and key information gaps such as uncovered exposure paths in the site prior information are identified, so that the conceptual model of the polluted site is iteratively optimized. By means of the mode, intelligent recognition of key information gaps of the conceptual model of the polluted site can be achieved, dynamic adjustment and improvement of the conceptual model are guided, and the conceptual model better meets the actual situation and the requirements of interested parties.

This invention relates to the fields of tunnel engineering and 3D geological modeling technology, specifically to an intelligent modeling method and system for 3D geological uncertainty in tunnels based on transition probability geostatistics and sparse boreholes. The method includes: S1, integrating multi-source data to construct a 3D geological conceptual model; S2, statistically characterizing a one-dimensional transition probability matrix, calculating and fitting a spatial continuity and 3D anisotropic variability function model; S3, calculating the prior spatial probabilities and transition adjustment factors for various lithologies, obtaining the posterior lithology distribution of nodes through Bayesian intelligent updating, and initially assigning lithology categories to nodes through random sampling; S4, assigning the most probable lithology category to each grid node, calculating the variance of lithology values ​​across all implementations, and measuring model uncertainty; S5, outputting the optimal 3D uncertainty model for the tunnel; and S6, verification and evaluation. This invention can effectively achieve 3D heterogeneous modeling and explicit quantification of uncertainty under strong geological constraints.

A system is disclosed to build and store a conceptual model and queries for a graph database. In various embodiments, data defining one or more aspects of a conceptual model associated with a graph database is received. A logical model of the conceptual model is created based at least in part on the conceptual model. The logical model includes information defining how data is physically stored. A set of data that represents the conceptual model is stored as a graph that includes one or more nodes to represent each of the following: conceptual model metadata, one or more node labels comprising the graph database, one or more relationship types of the graph database, and one or more property definitions each associated with a property of at least one of a node label and a relationship type of the graph database.

The invention discloses an ontology-based emergency modeling method, and relates to the technical field of data science and artificial intelligence, an emergency handling conceptual model is established, the emergency handling conceptual model is a business model, a general information model is described according to domain terms, the top-layer information demand of business is defined, and the top-layer information demand of the business is established; the main elements include place, time, subject, subject, cause, process, consequence, influence, treatment guidance, treatment mechanism, treatment strength and response action. The elements comprise three relations of entities, entities and events, and events and events. According to the ontology-based emergency modeling method, the general information model answers concerned and concerned questions of field scenes and indicates required entity concepts and key attributes.

The application relates to a kind of operation and maintenance fault monitoring system modeling method based on knowledge graph and OPC UA protocol. First, the knowledge and previous processing rules in the operation and maintenance field are summarized, the previous operation and maintenance fault event knowledge of workshop is extracted, the fault data in production is sorted out, the corresponding knowledge base is established, and the concept model of workshop operation and maintenance fault entity and relationship is constructed. Then, the operation and maintenance fault model data source is acquired, the data layer is built, and then the ontology, entity, relationship and attribute are perfected from bottom to top, and the knowledge graph is constructed. Further, based on the OPC UA protocol, the information model is abstracted into the software system, and the operation and maintenance fault information model is instantiated. The whole step is simple and clear, can be applied to various discrete manufacturing production systems, solves the fault handling problem in operation and maintenance scheduling, can express the whole content of operation and maintenance fault monitoring at the same time, and does not affect the subsequent production, and has great application value in the operation and maintenance field.

The application discloses a software application recommendation method based on user behavior information and speech information, and the method establishes a concept model by fusing the behavior information and the speech information, constructs a knowledge graph by combining heterogeneous user behavior and user speech, designs a meta-graph based on the concept model, connects the concepts in the concept model in the meta-graph, and finally performs meaningful walking on the nodes in the knowledge graph in the form of random walking guided by the meta-graph, so that a sequence capable of better representing the nodes is obtained. Through multiple walking, multiple meaningful sequences of the starting point of the node can be obtained, so that the neighborhood of the node is obtained. Through embedding of the walking result, the vector of the node can be obtained to represent the information of the node. Finally, through calculation on the vector, similar nodes can be recommended. The method is suitable for an application recommendation process considering the behavior information and the speech information of the user.

The invention provides a method and system for achieving attribute inheritance, electronic equipment and a storage medium, the method comprises the steps that an inheritance tree is displayed in a visual interaction page, the inheritance tree is generated based on definition information of a preset conceptual model, and nodes of the inheritance tree correspond to elements; in response to an editing operation for a first target element in the inheritance tree, adjusting the attribute and / or inheritance relationship of the first target element; according to the adjusted attribute and / or inheritance relation of the first target element, records of the first target element and a second target element are updated, and the second target element is a sub-element of the first target element. The attribute and the inheritance relation are selectively adjusted, and the requirement of a complex data model is met.

The invention discloses a stratigraphic analysis method based on tectonic landform dynamics and stratigraphic forward modeling, and the method comprises the steps: obtaining geological information of a target region, constructing a regional geological conceptual model, and determining key input parameters through the regional geological conceptual model; dynamic forward modeling simulation of the tectonic landform is executed, a basin-mountain ancient landform quantitative model is established based on the key input parameters, and rationality analysis is carried out; exporting quantitative geological parameters based on the pot-mountain ancient landform quantitative model; stratum deposition process quantitative simulation is executed, the quantitative geological parameters serve as quantitative input parameters, a sedimentary stratum quantitative model is established, and rationality analysis is carried out; and based on the sedimentary strata quantitative model, quantitatively representing sedimentary strata development characteristics, and predicting dominant sand body distribution in the target area. The method has the effect of improving the accuracy and applicability of the stratum analysis process.

The application belongs to the field of comprehensive radio frequency system, and particularly relates to a comprehensive radio frequency system model based on a meta model and a comprehensive radio frequency system design method, the system model comprising: a concept model, a logic model and a data model; the concept model comprising a use case model and a composition model; the use case model being used to describe a top layer operation architecture and a system boundary of the system, and being described by a use case diagram of a SysML language; the composition model being used to describe a concept composition relationship of the system, and being described by a block definition diagram of the SysML language; the logic model comprising activities and interfaces; the activities being basic elements for describing behaviors of the system, and being described by an activity diagram of the SysML language; the interfaces being basic elements for describing elements transmitted externally by different forms, and being described by an internal block diagram of the SysML language; the data model comprising system form elements and physical data; the system form elements being basic elements for instantiating concept of the system, and being described by a block definition diagram of the SysML language; and the physical data being basic elements for describing interactions between systems, and being described by an internal block diagram of the SysML language.

The invention discloses a three-dimensional dynamic sign design and networked cooperation device and method, and relates to the technical field of three-dimensional dynamic sign design. A three-dimensional model dynamic concept design module completes three-dimensional reconstruction on a two-dimensional basic sign image through the steps of format unification, feature extraction and the like through multi-source data acquisition; combining industry classification codes, brand tonality vectors and design style labels to generate a three-dimensional dynamic sign conceptual model; after the model is generated, the equipment division module obtains real-time performance data and historical task data of the equipment, and precise matching of tasks and the equipment is achieved through comprehensive performance evaluation; and the cooperation permission analysis module sets differentiated permission levels based on project personnel position types after equipment division is completed, and realizes safe sharing of model networked cooperation. The full-process automation and intelligentization of three-dimensional sign design from modeling, equipment scheduling to cooperative management are realized.

This invention discloses a dynamic prediction method for tunnel water inflow, belonging to the fields of tunnel engineering and hydrogeology. The method first constructs an initial hydrogeological conceptual model; then establishes a dynamic database integrating geological, geophysical, monitoring, and meteorological data; furthermore, it establishes a dynamically coupled prediction model that combines a physical numerical model and a machine learning proxy model; utilizing newly revealed data during construction, it dynamically inverts and updates model parameters through a data assimilation algorithm; the updated model is then used for probabilistic water inflow prediction and risk level classification; finally, the results are visualized and a feedback loop is formed. This invention, through a dynamic update mechanism, enables the prediction model to continuously approximate real geological conditions, solving the problems of low accuracy and poor adaptability of traditional static prediction methods, and significantly improving the ability of tunnel construction to cope with water inflow risks.

The invention relates to the field of teaching resource libraries, in particular to a multi-dimensional digital resource library of an intelligent teaching space and a construction method of the multi-dimensional digital resource library. The method comprises the steps of implanting a current management process and a current system situation of an application unit into an online virtual space; selecting a team cooperation mode with corresponding intensity; the management basis of the entity course space and the virtual course space is cooperatively optimized and adjusted; constructing a conceptual model and a composition domain model of the smart course space; constructing a digital resource model of the smart course space; the project party carries out delivery according to the digital resource model; carrying out curriculum team intelligent teaching maturity evaluation and selecting to start cooperation according to the maturity; and a multi-dimensional digital course teaching resource library is formed. By adopting the multi-dimensional digital resource library construction method of the intelligent teaching space, the intelligent course space can meet the differentiated requirements of content abundance and management flexibility of college courses and college teaching.

The application discloses a task meta-model construction method for general combat process, comprising the following steps: S1, constructing a combat concept model by using combat scene logical entities, data and models; S2, constructing a capability concept model; S3, constructing a mission task-capability matrix model; S4, constructing a combat activity resolution tree and a combat activity model; S5, constructing a mapping matrix model of capabilities and combat activities; and S6, integrating the combat concept model, the capability concept model, the mission task-capability matrix model, the combat activity model and the mapping matrix model established in steps S1-S5 to generate a global digital dictionary, i.e., obtaining a task meta-model. The application further discloses a task meta-model database and a construction device. The application can solve the problems that the existing combat system is difficult to model and describe, the combat task model construction efficiency is low, and the combat task model is difficult to verify and reuse, and realizes the rapid combination, verification and reuse of the combat task model architecture.

This disclosure relates generally to a method and system for designing style based ai applications. Available methods have limitations in creating robust co-creative technology solutions or platforms which exploit different aspects of style in content creation. The disclosed method explores and evaluates the existing AI technologies for style related problems like generating and customizing new artworks in the artistic styles of an artwork or an artist. The method utilizes a conceptual model and a process model. The conceptual model includes different aspects of knowledge such as style specification, style transformation, AI technologies, process evaluation, and artifact quality evaluation that facilitate appropriate design choices for a technology solution concerning a particular application. This static knowledge is applied through a dynamic process in the form of the process model.

This invention discloses a ternary fusion knowledge processing system and method based on ontology, graph database, and large language model, comprising: an ontology construction module constructing a formal conceptual model; a knowledge graph construction module extracting instance data from multi-source heterogeneous data and storing it in a graph database based on the conceptual model to form knowledge graph instances; a large language model interaction module receiving natural language queries and parsing user intent; a hybrid reasoning engine invoking rule-based reasoning, graph algorithm mining, and large language model reasoning in parallel according to user intent, processing the conceptual model, knowledge graph instances, and queries, and fusion results to output a comprehensive conclusion; an interpretable report generation module recording the reasoning basis and generating an interpretable report; and a dynamic evolution module updating the conceptual model and knowledge graph instances based on newly accessed event data. This invention integrates symbolic reasoning and neural networks, improving the interpretability, accuracy, and dynamic evolution capability of reasoning.

This invention discloses an automatic identification method for carbonate reservoir patterns, comprising the following steps: establishing typical reservoir patterns; establishing a numerical simulation conceptual model based on the typical reservoir patterns; simulating the development process of different conceptual models and extracting production dynamic information; and constructing a fractured-vuggy reservoir pattern inversion model using a deep learning algorithm. This invention employs the aforementioned automatic identification method for carbonate reservoir patterns, using a deep learning algorithm to quickly and accurately identify fractured-vuggy reservoir patterns. It overcomes the shortcomings of time-consuming, costly, and highly specialized geostatistical inversion methods, avoids the influence of subjective human factors, significantly improves economic efficiency, and greatly reduces testing time costs.

The invention relates to a guided weapon knowledge graph construction method and system based on a large language model, and the method comprises the steps: inputting source data and recognition prompt information into the large language model, enabling the large language model to generate and output an ontology conceptual model containing entity data, calling a plurality of corresponding sub-templates from a pre-built template library, and carrying out the recognition of the ontology conceptual model, combining and adapting the plurality of sub-templates to obtain an extraction template, inputting extraction prompt information and the extraction template into the large language model, so that the large language model generates knowledge information data and outputs the knowledge information data, verifying the knowledge information data, and if the verification is passed, correspondingly generating a knowledge graph and outputting the knowledge graph. Otherwise, generating a verification report and backtracking the corresponding steps. According to the guided weapon knowledge graph construction method and system based on the large language model, the knowledge graph can be efficiently and accurately obtained in the field of air-to-ground guided weapons.

The present disclosure discloses systems and methods for generating application programming interface (API) schema by using ontological constructs. The system may receive an ontology file comprising a domain-specific conceptual model, wherein the domain-specific conceptual model comprises ontological entities and corresponding relationship between ontological entities. Further, a schema generation strategy may be determined from at least one of a simple strategy, a nearest neighbor strategy, and a shortest path strategy for the received ontology file based on a user requirement and the received ontology file. Moreover, the system may generate an ontological data structure for the received ontology file based on the determined schema generation strategy. Thereafter, the system may transform the generated ontological data structure into a graphical schema structure by mapping each of the ontological entities to corresponding graphical entities. Furthermore, the transformed graphical schema structure may be serialized output the generated graphical schema file as an API.

The invention discloses a basin stand and a design optimization method thereof, and relates to the technical field of electro-acoustic conversion. The design optimization method of the basin stand comprises the following steps: creating a conceptual model of an assembly component, wherein the assembly component comprises the basin stand in an assembly state, a magnetic circuit unit and a fastener; carrying out differentiated gridding division on the assembly component to obtain a gridding model; taking the design area of the basin stand as a topological optimization area, and carrying out primary topological optimization on the topological optimization area in the gridding model to obtain a primary optimization model; creating a three-dimensional model for the assembly component to obtain a preliminary model of the assembly component; performing secondary topological optimization on the topological optimization region, and combining the topological optimization region with a non-design region in the conceptual model to obtain a secondary optimization model of the assembly component; and performing structure simulation on the secondary optimization model to obtain a simulation result. According to the method, the optimal optimization balance scheme of the weight and the rigidity of the basin stand can be effectively, quickly and accurately found, and the design efficiency is improved.

The invention provides a database logic mode automatic generation method and device, a storage medium and a computer program product, and the method comprises the steps: providing a plurality of agents which comprise a product manager agent, a conceptual model design agent, a conceptual model review agent and a logic model design agent; running the product manager agent to interact with a user and generate a demand analysis report; operating the conceptual model design agent to identify components of the conceptual model according to the demand analysis report, the components including an entity set, a relationship set, a mapping cardinal number and attributes of the entity set and the relationship set; running the conceptual model review agent to provide feedback about the conceptual model; and operating the logic model design agent to convert the conceptual model into a normalized logic mode by identifying a functional dependency relationship in the entity set and the relationship set. According to the method, the database logic mode generation efficiency is improved.

The invention particularly relates to a hierarchical data model design and generation method and system. According to the hierarchical data model design and generation method, firstly, a conceptual model is designed, and entities and relationships are constructed; storing the conceptual model, and generating an initial framework of the logic model on the basis of the structure of the conceptual model; performing logic model design, supplementing attributes of entities, and associating the attributes with data element standards; generating an initial framework of the physical model on the basis of the structure of the logic model; designing a physical model, supplementing field information for the entity, and adding foreign keys and indexes; and selecting a physical model and a target data source, generating a DDL statement according to the structure of the physical model and the type of the target data source, running the DDL statement in the target data source, and generating the library table. According to the layered data model design and generation method, repeated work and errors are reduced, the efficiency and accuracy of data model design are effectively improved, the cost of later maintenance and upgrading is reduced, and the layered data model design and generation method is suitable for various data modeling scenes.

The invention provides a data modeling and integration method and system for a ship assembly manufacturing process, and the method comprises the steps: building a data organization hierarchical structure of the ship assembly manufacturing process according to the ship assembly manufacturing process; constructing an assembly data model of the manufacturing process of the ship assembly according to the data organization hierarchical structure of the manufacturing process of the ship assembly; according to the assembly data model of the manufacturing process of the ship assembly, constructing a ship assembly body conceptual model; and integrating ship group multi-source data by adopting the ship group assembly ontology conceptual model, and establishing a graph database. Through the method and the device, a work order-group component level-manufacturing process level data organization structure is established, process level data management and control and refined data management are realized, ship group total-factor and full-period data modeling is realized, multi-source heterogeneous data integration based on a ship group body is also realized, and data consistency is improved.

The invention discloses an automatic social engineering attack detection method based on modal constraint modeling, and the method comprises the steps: constructing a conceptual model comprising roles, tasks, assets, modal constraints and other core elements based on a management system document and an organization structure provided by an organization; on the basis of logical reasoning rules, behavior deviation and attack paths possibly caused by the situation constraint defects are automatically reasoned, and therefore scene-level detection of social engineering attacks is achieved. The method can systematically identify the potential induction effect of the situation of obligations, permissions, suggestions and capabilities in organization and management regulations on individual behaviors in a specific situation, further detects and inferes the possible social engineering attack path, and realizes the automatic detection of potential social engineering attacks.

The invention relates to a coupling finite element-based seepage simulation method in a multi-scale fracture medium, which comprises the following steps of: 1, acquiring statistical distribution characteristics of relevant parameters of a multi-scale fracture in a simulation domain, and constructing a multi-scale fracture geometric model; 2, respectively carrying out intersecting line detection on each scale fracture in the multi-scale fracture geometric model; 3, simplifying the multi-scale fracture geometric model; 4, adopting a coupling unit to establish a coupling relationship among the fracture models of all scales; and 5, simulating the multi-scale discrete fracture-matrix model. According to the method, on the basis of a coupling finite element method, the conceptual models of the fractures of three scales are coupled, so that the difficulties in the aspects of calculation precision, calculation cost, mesh generation and the like of a single traditional model in solving the multi-scale problem are avoided, and a feasible new way is provided for large-scale complex rock mass underground water flow analysis.