23 results about "Virtual database" patented technology

The invention discloses a point cloud-driven thoracic cavity whole organ dynamic reconstruction and respiration monitoring method and system, and the method comprises the steps: constructing a three-dimensional geometric model corresponding to each target structure in a thoracic cavity based on the thoracic medical image data of a target object, and converting the three-dimensional geometric model into static point cloud data; driving the static point cloud data to perform dynamic deformation simulation in a respiratory cycle based on a respiratory movement rule of the target object to obtain dynamic point cloud data synchronized with a respiratory time phase; performing time-space synchronization association on the dynamic point cloud data and the electrical characteristic parameters, and constructing a digital twin thoracic cavity model; deploying a virtual sensing assembly which dynamically deforms along with the thoracic cavity in the digital twin thoracic cavity model, simulating and monitoring the dynamic breathing process of the target object, and generating a virtual physiological signal; and performing signal processing on the virtual physiological signal to obtain a dynamic reconstruction image reflecting respiratory movement. Continuous simulation of the full-breathing movement process is achieved, and the temporal-spatial resolution and diversity of a virtual database are improved.

The invention belongs to the technical field of electromechanical equipment fault maintenance, and particularly relates to an electromechanical equipment fault online simulation system. Comprising an online simulation module, and the online simulation module is used for completing electromechanical equipment modeling and realizing model reproduction and operation simulation; electromechanical equipment modeling refers to establishing a finite element model of an electromechanical equipment structure based on a finite element modeling program; model reproduction refers to establishment of a system virtual database for storing the established electromechanical equipment model; the operation simulation comprises simulation of structure operation and simulation of parameter state change; the fault generation module is used for establishing a fault data set and completing parameterization and injection of faults; the method is mainly used for solving the problems that the current electromechanical equipment fault training coverage is limited, various dynamic characteristic parameters of electromechanical equipment cannot be completely and effectively expressed in the electromechanical fault occurrence process, and the visual content is only limited to structural damage expression, and a basis is provided for realizing online fault simulation teaching.

Various embodiments of the present technology generally relate to management of big data storage and data access control systems. In some embodiments, a data access system for use in multiple application service and multiple storage service environments comprises a sandbox database for users, wherein the sandbox database is a virtual database environment via which a user may access datasets according to one or more access policies. In some embodiments, the data access system receives a user request to access a dataset stored in a database into the sandbox environment, wherein the database is associated with the data access system. In response to the request, the data access system may retrieve the corresponding data from the database, determine any associated sandbox access policies, and generate an anonymized data table in the sandbox environment.

The application discloses a point cloud driven thoracic cavity whole organ dynamic reconstruction and respiratory monitoring method and system, and the method implementation comprises the following steps: based on the thoracic medical image data of a target object, constructing three-dimensional geometric models corresponding to each target structure in the thoracic cavity, and converting the three-dimensional geometric models into static point cloud data; based on the respiratory motion law of the target object, driving the static point cloud data to perform dynamic deformation simulation in a respiratory cycle, and obtaining dynamic point cloud data synchronized with the respiratory phase; synchronously associating the dynamic point cloud data with electrical characteristic parameters in time and space, and constructing a digital twin thoracic cavity model; deploying a virtual sensor assembly that dynamically deforms with the thoracic cavity in the digital twin thoracic cavity model, and simulating and monitoring the dynamic respiratory process of the target object, and generating a virtual physiological signal; and through signal processing on the virtual physiological signal, a dynamic reconstruction image reflecting the respiratory motion is obtained. The continuous simulation of the whole respiratory motion process is realized, and the time and space resolution and diversity of the virtual database are improved.

The present application belongs to the technical field of mechanical and electrical equipment fault maintenance, and particularly relates to a mechanical and electrical equipment fault online simulation system. The system comprises an online simulation module, which is used for completing mechanical and electrical equipment modeling and realizing model reproduction and operation simulation. The mechanical and electrical equipment modeling refers to establishing a finite element model of the mechanical and electrical equipment structure based on a finite element modeling program. The model reproduction refers to establishing a system virtual database for saving the established mechanical and electrical equipment model. The operation simulation includes simulation of structural operation and simulation of parameter state change. The system further comprises a fault generation module, which is used for establishing a fault data set and completing fault parameterization and injection. The present application is mainly used for solving the problems that current mechanical and electrical equipment fault training has limited coverage, cannot effectively express various dynamic characteristic parameters of the mechanical and electrical equipment in the mechanical and electrical fault occurrence process, and the visualized content is limited to structural damage expression, thereby providing a basis for realizing online fault simulation teaching.

The invention belongs to the technical field of data query, and particularly discloses an SQL2API (structured query language 2 application program interface) method in a data table and HTTP (hyper text transport protocol) interface mixed mode based on a large model, which comprises the following steps of: automatically mapping metadata of an HTTP interface into a virtual database table, and constructing to obtain a unified SQL Schema view; utilizing the SQL Schema view to convert a user query demand into a logic operation sequence, and generating a query plan capable of realizing cross-source association; and according to the query plan, executing the query of the SQL database and the calling of the HTTP interface in parallel, integrating the obtained query result and the calling result into a two-dimensional table structure in the temporary memory database, and returning the two-dimensional table structure to the user. According to the method, the HTTP interface metadata is automatically mapped into the virtual database table, and the query plan is generated by using the large model, so that efficient, unified and intelligent query of the database and HTTP interface mixed data source is realized.

A computer implemented method for identifying problematic database operations includes identifying database transactions which exhibit performance issues and corresponding parse trees, transforming corresponding parse trees to create historical descriptor arrays, detecting a new database transaction, generating a new descriptor array corresponding to the new database transaction, analyzing the new descriptor array and the historical descriptor arrays to determine whether the new descriptor array indicates a performance issue corresponding to the new database transaction, and responsive to determining that the new descriptor array indicates a performance issue, adding the new database transaction to a resource controlled pool. The method may additionally comprise encoding one or more data items associated with the database. The method may additionally include sending the new database transaction to a virtual database simulation to simulate the new database transaction's performance, and providing the simulation results to a feedback database system.

A method includes: A second electronic device receives a first event from a first electronic device, where the first event includes first database version information; creates a first empty mapping database of a first source database based on the first database version information, where the first source database is a local database of the second electronic device; virtualizes the first source database and the first empty mapping database to obtain a first virtual database; performs data mapping in the first virtual database to map data in the first source database to the first empty mapping database, to obtain a first database in which data mapping is completed; obtains a first mapping database based on the first database; and sends the first mapping database to the first electronic device.

The invention discloses a structured query statement extraction method and device, equipment and a storage medium. The method comprises the steps that a module set, an environment variable set, a database connection tool set and an accessed database type set used by a Perl script to be processed are determined; constructing a virtual module set according to the module set, constructing a virtual database set according to the database type set, and constructing a virtual database connection tool set according to the database connection tool set; based on the module set, the environment variable set, the virtual module set, the virtual database connection tool set and the virtual database set, constructing a virtual environment for running the Perl script; and executing the Perl script in the virtual environment to obtain a structured query statement extraction result of the Perl script. In this way, generalization, safety and integrity of SQL statement extraction in the Perl script can be improved.

The application provides a multi-sheet virtual database map data management system and method. The system comprises: a plurality of physical sheet databases for storing spatial element data and attribute data; a metadata index library for returning a hit sheet set in response to a sheet retrieval request for a target spatial range; a virtual database for providing a unified data access interface to an upper-layer application, and comprising: a dynamic data scheduling engine for determining the hit sheet set and a corresponding physical sheet database set; a result aggregation unit for performing merging and deduplication on sub-request results; an editing and edge processing engine for decomposing an editing request into sub-editing operations respectively facing each sheet database when the sheet set comprises multiple sheets; and a transaction coordination unit for starting a transaction for each of the multiple physical sheet databases corresponding to the sub-editing operations and performing the sub-editing operations. The application can improve cross-sheet operation efficiency and reduce heterogeneous data integration and maintenance costs.

The technology generally relates to securing end user access to application databases. An application receives a natural language query from an application end user requesting particular data from a database. The application identifies one or more tokens associated with the application end user to identify the application-specific data that is accessible to the application end user. The application provides the one or more tokens to one or more parameterized secure view elements. The parameterized secure view elements use the one or more tokens to create a virtual database that contains only the application-specific data that is accessible to the application end user. The application uses one or more machine learning models to translate the natural language query into a database query that the application uses to access the virtual database and retrieve the particular data to respond to the natural language query.

Various embodiments of the present technology generally relate to management of big data storage and data access control systems. In some embodiments, a data access system for use in multiple application service and multiple storage service environments comprises a sandbox database for users, wherein the sandbox database is a virtual database environment via which a user may access datasets according to one or more access policies. In some embodiments, the data access system receives a user request to access a dataset stored in a database into the sandbox environment, wherein the database is associated with the data access system. In response to the request, the data access system may retrieve the corresponding data from the database, determine any associated sandbox access policies, and generate an anonymized data table in the sandbox environment.

The application discloses a seamless line longitudinal action monitoring method based on digital twinning, which comprises the following steps: S1, establishing a special section type of a field seamless line; S2, collecting characteristic point data by using a temperature sensor and a displacement sensor; S3, establishing a finite element simulation model, and calculating the temperature, displacement and rail longitudinal additional force of the special section; S4, establishing a mapping model to obtain a mapping relationship from a physical database to a virtual database; S5, comparing the mapping data with data not participating in the establishment of the mapping model, and verifying the model; and S6, constructing a digital twinning virtual body completely equal to the special section of the seamless line, and interacting with the field seamless line. The application can judge the service state of the field seamless line in real time based on the digital twinning technology, and can simulate various maintenance measures of the seamless line, so that a maintenance and repair plan can be made more efficiently.

A method for transacting data with a data repository via a virtual database system includes receiving a query comprising user metadata and a request for transacting data with one or more data repositories and parsing the query to create a command graph comprising one or more nodes and node-associated metadata, wherein each of the one or more nodes represents a command action for processing or transacting the data, and the node-associated metadata describes a behavior of the command action. Further, the method includes retrieving one or more policy rules based on the user metadata, applying security policies to the one or more nodes by updating the node-associated metadata, updating the command graph based on the updating of the node-associated metadata, and executing each of the command actions corresponding to the one or more nodes of the updated command graph.

The invention provides an underground pipe network database construction method, system and device and a storage medium, and the method comprises the steps: obtaining the related data of a multi-source power plant overground and underground pipe network, and carrying out the standardization processing of the related data, and obtaining the standardized related data; constructing a three-dimensional twinborn model of the power plant based on the standardized related data, extracting pipe network data in the three-dimensional twinborn model, and establishing a mapping relationship between the three-dimensional twinborn model and attribute data in the pipe network data; bidirectionally associating the character file and the graphic file with corresponding objects in the three-dimensional twinborn model; and constructing an underground pipe network database according to the association relationship among the attribute data, the text file, the graphic file and the three-dimensional twinborn model. A plurality of technical means are adopted to construct a high-precision three-dimensional twinborn model for buildings, equipment, pipe networks and underground facilities of the whole plant, and a three-dimensional virtual database of the pipe network assets of the power plant is realized; and associating the three-dimensional twin model with a database to form a digital three-dimensional file of the underground pipe network.

The application provides a method, a computer device and a computer readable storage medium for reducing database connection and database operation, which comprises the following steps: a data source agent module acquires request information of acquiring connection sent by a transaction management framework; the data source agent module creates a virtual database connection object according to the request information; the virtual database connection object creates a real database connection object and sets the real database connection object as empty; the virtual database connection object judges whether the current transaction operation is a business core operation, if not, further judges whether the real database connection object is empty, if yes, an empty operation is performed. The application also provides a computer device and a computer readable storage medium for realizing the above method. The application can reduce meaningless or invalid access to a business database by the transaction management framework and reduce the load of the business database.

The present invention belongs to the field of medicine, and specifically relates to a method for building a library through intelligent combination, and using this library to discover small molecules with anti-cancer activity. The present invention establishes a virtual database of 12,904 molecules. The virtual molecules in this database are assembled using Python from existing and commercially available molecular building blocks. The conditions for intelligent combination are mature and simple reaction conditions. Therefore, the small molecules in this database are easy to synthesize and have greater practical significance. Using this database for virtual screening and synthesizing the screened molecules can obtain small molecules with high anti-cancer activity. These molecules are essentially non-toxic to normal gastric mucosal cells and have significant therapeutic effects on gastric cancer, and their therapeutic effects are better than cisplatin, thus having good application prospects.

The present invention discloses a network security early warning and protection system and method based on power information mimicry technology. The system includes an access entrance end, an external power information network system, and an internal power information network system. The internal power information network system includes an internal network simulation system. There is an internal network channel permission between the external power information network system and the internal network simulation system. By establishing an internal network simulation system and an internal network virtual database in the internal power information network system, false encrypted power information data packets are simulated using appearance virtual information packets to prevent the direct acquisition of power information data in the power information database. The design of the internal network one-way encryption channel module can further protect the confidentiality of the power information database when the appearance virtual information packets are obtained without encryption.

Methods, systems and computer readable media are disclosed for providing inter virtual-eNodeB optimized handover. In one example embodiment, a method includes sending, from a first eNodeB, a handover required message to a first HetNet Gateway (HNG) / virtual eNodeB; matching a target cell in a virtual eNodeB database; receiving, at a second eNodeB, a handover request from a second HNG / virtual eNodeB; sending, by the second eNodeB, a handover request acknowledge message to the second HNG / virtual eNodeB; and performing call context switching using the virtual eNodeB database.

The present invention relates to the technical field of data storage and management, and discloses a method for rescue archiving and disposal of important data in a shutdown system, including the following steps: S101, automatically parsing the data structure of stored data by using a machine learning model and performing scanning and extraction; S102, storing and converting the scanned and extracted data by using a mechanism of storing while converting; S103, protecting the archived data by using an encryption storage mechanism based on a zero-trust architecture, and adopting a dynamic key management strategy to dynamically allocate, recycle, and destroy keys according to access scenarios, and combining distributed key storage technology to protect the data; S104, providing query and access to the archived data by using a streaming retrieval mechanism, and remotely calling and virtually accessing the archived data based on a virtual database interface. The present invention improves the format compatibility of the archived data and enhances the query efficiency and cross-data source access ability of the archived data.

Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

The invention discloses an HSI food detection deep learning recommendation algorithm based on a knowledge graph, and relates to the technical field of food detection, and the algorithm comprises the steps: building a knowledge graph ternary model of food detection through defining a food name as an entity, defining a food detection item as a relation, and defining a food detection result as an attribute; based on the knowledge graph ternary model, calculating the similarity of the food detection score vectors of the new users and the historical users by adopting a similarity matching algorithm, selecting the interaction data of the historical users with the highest similarity to be associated and fused with the interaction data of the new users, and generating a virtual database of the new users; structured representation of detection knowledge is realized by constructing a food name-detection item-detection result ternary model, and a double attention mechanism and a group decision ensemble learning method are innovatively adopted to form an end-to-end intelligent recommendation system. According to the technical scheme, the problems of cold start and insufficient semantic association in the field of food detection are effectively solved.

The invention provides a city smell analysis method based on fuzzy data integration and a virtual database. The city smell analysis method comprises the following steps: acquiring a plurality of gas molecules and concentrations of the plurality of gas molecules in a target area in a city; determining a plurality of odorous molecules and a plurality of odorless molecules in the plurality of gas molecules based on a pre-trained target neural network model; determining the odor in the target area in the city according to the concentrations of the plurality of odorous molecules and the plurality of odorless molecules; wherein the neural network model comprises a fuzzy data integration module, a sectional odor prediction model and a potential odor virtual database. At least the odor molecules in the city can be accurately analyzed, and accurate prediction of the odor in the city is formed.