82 results about "Database interface" patented technology

The invention belongs to the field of civil aviation, provides a civil aircraft field service operation scheduling control system, and aims to solve the problem of low cooperative efficiency of multiple links of ground service scheduling. File management is based on an Ali cloud OSS development interface, supports multi-format files, and realizes functions of permission access, encryption and the like; communication adopts an MQ / MQTT architecture to construct an IM system, and supports multi-type message transmission and http network communication; data processing packages a multi-language database interface, and internal and external network secure intercommunication is realized through a gatekeeper agent. Flight functions cover and guarantee node management and control, dynamic updating, cross-department communication, real-time flight data butt joint, task distribution of unified operation according to work types, and support of multi-terminal such as a web terminal and a handheld terminal and nailing access. Ground service multi-scene requirements can be met, and the operation efficiency and the management level are improved.

The invention discloses a three-dimensional model lightweight reconstruction and rendering method based on multi-strategy collaboration, and the method comprises the steps: 1, extracting geometric information, appearance information and semantic attribute information of a three-dimensional model, separating the geometric information from the appearance information and the semantic attribute information, and storing the semantic attribute information to a three-dimensional model database; 2, instantiating components with the same geometric structure in the three-dimensional model, realizing material sharing through a material reference mechanism, and reducing rendering overhead on the premise of not changing the structure of the model; step 3, carrying out lightweight processing on the exported geometric and appearance information to obtain reconstructed lightweight models with different precision grades; and 4, dynamically adjusting the geometric complexity of the lightweight model through the sight distance and the frame rate by using a hierarchical calculation algorithm for rendering, and meanwhile, obtaining component semantic attribute information and synthesizing the semantic attribute information by calling a three-dimensional model database interface to realize visual display of the reconstruction model.

The invention provides an outline content generation method and system combined with natural language processing, and the method comprises the steps: firstly carrying out the medical semantic analysis of a medical question text inputted by a user, obtaining a question feature set, calling a medical literature database interface for retrieval based on the question feature set, and obtaining a matched medical literature knowledge set; extracting medical knowledge units with independent semantics from the literature knowledge set to generate a structured knowledge unit set, performing association matching on the structured knowledge unit set and the question feature set, distributing weights according to question type identifiers and information demand strength parameters to generate a weighted knowledge integration result, and performing knowledge integration on the weighted knowledge integration result; and finally, generating a medical question answering text according to a weighted knowledge integration result, and feeding back the medical question answering text to a user interaction interface for display, so that accurate, comprehensive and personalized medical question answering can be provided for the user, and the question answering quality and the user experience of a medical academic community are improved.

Described herein is an apparatus and method for generating a medical database query. An apparatus may include at least a processor; and a memory communicatively connected to the at least processor, wherein the memory contains instructions configuring the at least processor to receive a first natural language database query; input the first natural language database query into a large language model (LLM); receive from the LLM a feature set; using a medical database query map, generate a first medical database query as a function of the feature set; and generate, using the LLM, an aggregated output by querying a medical database interfaced with the LLM using the first medical database query.

The invention relates to the technical field of power system automation, in particular to a gateway machine double-confirmation closed-loop test system and method, and the system comprises an intelligent equipment simulation module which is used for simulating secondary equipment in an intelligent substation, achieving the transmission of remote signaling and telemetering data, and responding to remote control and remote regulation commands; the multi-source database interface module is used for being connected with a database of the tested gateway machine and querying, analyzing and monitoring data of the database; the master station protocol simulation module is used for simulating a master station protocol and communicating with the tested gateway machine; the intelligent analysis module compares and analyzes signal data from different modules through double-layer verification to ensure the consistency and accuracy of the data; the intelligent equipment simulation module, the multi-source database interface module and the master station protocol simulation module are respectively connected with the tested gateway machine and the intelligent analysis module. According to the method, the whole-process data reliability and the system function integrity are ensured.

A system and method are disclosed for interfacing with one or more databases using natural-language queries. The system translates a natural-language input into an intermediate formal representation, such as a Concept Query Language (CQL), which references domain concepts rather than database-specific structures. A data access subsystem maps these domain concepts to database-specific queries using a domain dictionary, enabling seamless translation across heterogeneous databases and database management systems (DBMSs). The system supports distributed data retrieval, error recovery, and dynamic query planning. A presentation subsystem formats the results into user-friendly outputs such as charts or tables. The architecture allows for modular grammar and dictionary configuration, enabling rapid adaptation to new domains, schemas, or user roles without procedural code changes. This approach improves accessibility, maintainability, and scalability of database interactions by abstracting technical complexity from end users.

The invention discloses a cross-database Rest interface implementation method and system based on tagging dynamic configuration, relates to the technical field of interface dynamic deployment and structure configuration management, and is used for solving the problems of difficult structure change adaptation, difficult data source dynamic binding and complex multi-source query fusion. By defining a mapping relation of an interface label, a structure snapshot and a field triple, a field with an unstable structure is identified, and a structure drift coupling map is constructed, so that the dynamic adaptation of the structure is realized. The system supports cache setting and paging according to interface granularity, supports a structure snapshot regular acquisition and version management mechanism, and ensures interface availability and consistency in a structure change process. The method has the capabilities of deployment automation, structure fault tolerance and dynamic scheduling execution, and is suitable for a REST interface management system in a multi-source heterogeneous database fusion scene.

The invention relates to a shield tunnel settlement control reinforcement method based on multi-source data fusion driving, which comprises the following steps: S1, data acquisition: acquiring multi-source heterogeneous original data through a sensor network and database interface deployed in a shield tunneling machine and a construction area; s2, data preprocessing; s3: big data analysis modeling: comprising the following sub-steps: S31: normalizing physical significance; s32, carrying out model training; s4, real-time settlement risk assessment: predicting future settlement volume and dividing risk levels to obtain a risk assessment report; s5, intelligent reinforcement decision and execution: parameters of grouting equipment or a shield tunneling machine are controlled for real-time reinforcement; and the reinforced effect data is fed back to the step S1 to form closed-loop control. Compared with the prior art, the method has the advantages that the accuracy, robustness and physical interpretability of the settlement prediction model are improved, high precision and self-optimization of the prediction model are realized, and active and accurate intervention, high integration, self-optimization and the like are realized.

The database data synchronization system comprises a front-end operation module, a rear-end analysis module, a database interface module and a scheduling module, and the front-end operation module is realized based on Vue3 and used for receiving synchronization task information input by a user, configuring the synchronization task information into a JSON data format and sending the synchronization task information to the rear-end analysis module; the rear-end analysis module is realized based on a Go language and a Gin framework and is used for analyzing JSON data sent by the front-end operation module, and the database interface module is used for specifying an interface specification, realizing interface instances of various heterogeneous databases and supporting database type expansion by realizing the interface specification. The scheduling module comprises a process control module, a queue generation module, a data conversion module, a task scheduling module, a database interface scheduler module, a concurrent processor module and an error warning module, various databases can be easily expanded, and the efficiency and the success rate of data migration are improved by adopting field type intelligent mapping and a concurrent processing mechanism.

This application provides a database interface routing method, apparatus, computer device, and storage medium. The method obtains the database type of the current service and the database type of the next service to be operated on. If the database type of the current service and the database type of the next service are inconsistent, it sends an interface routing instruction for the source database corresponding to the current service. It obtains a pre-annotated adaptive interface routing engine, searches for a database interface matching the target database type from the adaptive interface routing engine as the target interface, and routes the source database to the target interface according to the target routing rules to operate the next service. This achieves lossless database switching and intelligent routing of database interfaces, ensuring secure and lossless migration of data between different database types without affecting the current service, and improving the compatibility of services on the same platform and the efficiency and security of business operations within the platform.

The invention provides a method and system for accessing a database interface layer through an SAS language based on C + + middleware. The method comprises the following steps that the C + + middleware is called to obtain SAS statements of SAS language analysis software originating from the C + + middleware; performing word segmentation identification on database information in the SAS statement, and calling a database connection module of the C + + middleware based on the database information to establish a database connection pool; identifying the SAS statement by using the C + + middleware and converting the SAS statement into a database recognizable statement; the C + + middleware is used for transmitting the database recognizable statements to the corresponding database through the database connection pool, the problem that in the prior art, SAS language analysis software cannot be directly and efficiently connected with a universal database is solved, and high-performance, high-reliability and safe data access can be achieved.

The application relates to an interface design method of a virtual power plant dynamic performance analysis and evaluation system, which comprises the following steps: dividing the virtual power plant dynamic performance analysis and evaluation system into a perception layer, a communication layer, a data access layer, a data layer, a service layer, an application layer and a display layer according to functions; designing different interfaces for each layer, including a standardized data acquisition protocol and a high-frequency data transmission mechanism of the perception layer, multi-protocol compatibility and protocol conversion design of the communication layer, unified data format and efficient data transmission of the data access layer, database interface and file storage interface design of the data layer, authentication service, permission management and data access service of the service layer, modular interface design and real-time data interaction of the application layer, and cross-browser compatibility design and data visualization function of the display layer. Through the design optimization of the system interface, efficient, safe and stable data processing and communication are realized, and the real-time performance, compatibility and user experience of the system are improved.

The invention relates to the technical field of computer data processing, and particularly provides a configuration-based interface data automatic integration processing method which comprises the following steps: S1, configuration management, including database and interface configuration, parameter mapping rules and data storage rules; s2, an interface calling engine which comprises dynamic parameter replacement, a protocol adapter and a retry mechanism; s3, a data storage engine which comprises intelligent table establishment and transaction management; s4, performing task scheduling; s5, performing mail notification; and S6, performing data export. Compared with the prior art, the technical problem that non-technical personnel cannot autonomously connect interface data can be solved, the deployment and maintenance cost of the data acquisition system is remarkably reduced, and the data integration efficiency is improved.

The application relates to the field of gas pipeline network operation, and discloses an intelligent monitoring system and method for dynamic residual capacity of a gas pipeline network, which comprises the following steps: an industrial computer is connected with a SCADA system intermediate database interface, a production information system interface and a GMS system interface through communication optical cables; a real-time QPT metering module, a hydraulic simulation module, a risk assessment module, a scene generation module, a historical production database module, a user shipping management module and a residual capacity monitoring module are arranged in the industrial computer; the production information system interface is connected with the historical production database module, the SCADA system intermediate database interface is connected with the real-time QPT metering module, and the GMS system interface is connected with the user shipping management module; the historical production database module, the real-time QPT metering module and the user shipping management module transmit the received information to the scene generation module, the hydraulic simulation module, the risk assessment module and the residual capacity monitoring module in sequence after processing, and the dynamic residual capacity is calculated in real time.

Embodiments of the present application provide a read-write separation method, an electronic device and a storage medium. The read-write separation method comprises: in response to receiving a service request, intercepting an interface in the service request marked with a first annotation, and obtaining a second annotation marked on an interface method of the interface; the first annotation is used to indicate that the interface is a database interface, and the second annotation is used to indicate a data source required by the interface method, the data source comprising a master data source and a slave data source; and based on the second annotation, a target data source used when executing an SQL statement in the service request is selected. In the embodiments of the present application, the interface method in the database interface can be intercepted without concerning the business logic, so even if the business logic of the master data source and the slave data source exists in the interface method at the same time, the data source required for use can be accurately selected based on the second annotation when executing the SQL statement in the interface method, so that the read-write separation can be more accurately implemented.

The invention relates to the technical field of databases, and provides an analysis and conversion method and device for SDE.STGEOMETRY type data. The method comprises the following steps: storing original data by using an information structure; wherein the data type of the original data is SDE.STGEOMETRY type, and the data type of the original data is SDE.STGEOMETRY type; and analyzing the point information, the point set object and the entity parameters in the information structural body to obtain target geometric data. According to the method and the system, the SDE.STGEOMETRY type data is directly processed by constructing and analyzing the information structure body, connection with a database is not needed, and the problem that the SDE.STGEOMETRY type data can only be converted through a database interface and a general format is solved.

The invention discloses an equipment state monitoring system and monitoring method for a new-generation centralized control station system, and the system comprises a model configuration tool which is used for configuring and generating a model rule; the instance configuration tool is used for generating an instance rule according to the model rule; the rule base is used for storing model rules and instance rules and providing a rule basis for equipment state monitoring; the state monitoring module is used for sensing state changes of associated measuring points in real time through a message bus, obtaining real-time data and historical data of the measuring points through a real-time library interface and a historical library interface of a new-generation centralized control station system, analyzing and judging the state of the equipment according to judgment logic of the state of the equipment in a rule library, and sending the state of the equipment to a server. And alarm information is sent through the message bus. The method is efficient and flexible in rule configuration, and timely and accurate in equipment state monitoring.

The application provides a method and system for generating outline content combined with natural language processing. First, the medical question text input by the user is subjected to medical semantic analysis to obtain a question feature set. Based on the question feature set, a medical literature database interface is called to retrieve and obtain a matched medical literature knowledge set. Then, the literature knowledge set is subjected to extraction of medical knowledge units with independent semantics to generate a structured knowledge unit set. The structured knowledge unit set is associated and matched with the question feature set. According to the question type identifier and the information demand intensity parameter, a weight is assigned to generate a weighted knowledge integration result. Finally, the medical question answer text is generated according to the weighted knowledge integration result and is fed back to the user interaction interface for display, so that accurate, comprehensive and personalized medical question answers can be provided for the user to improve the question answer quality and user experience of the medical academic community.

The invention discloses a logistics management method and equipment based on NFC and intelligent sorting technology and a medium, which are applied to a logistics management system, and the method comprises the following steps: establishing wireless communication connection through an NFC chip of a mobile terminal and an NFC label with a unique identification code attached to a to-be-sorted article; basic information and logistics information of the articles to be sorted are written into the NFC label through an interface of the NFC chip; the NFC read-write module of the intelligent terminal device analyzes the basic information and the logistics information, and sends the analyzed information to the cloud server; the cloud server receives the analyzed information and dispatches a database interface to update an article state table; the intelligent terminal equipment extracts a target address field of the to-be-sorted article from the article state table in the cloud server in real time through the API; according to a preset sorting rule, a sorting control instruction containing the matched corresponding sorting channel number is generated; and the sorting execution mechanism conveys the to-be-sorted articles based on the corner information and the channel number in the sorting control instruction.

This invention provides a method and system for accessing a database interface layer using SAS language based on C++ middleware. The method includes the following steps: calling C++ middleware to obtain SAS statements from SAS language analysis software; identifying database information in the SAS statements through word segmentation, and establishing a database connection pool based on the database information by calling the database connection module of the C++ middleware; using the C++ middleware to identify the SAS statements and convert them into database-recognizable statements; and using the C++ middleware to pass the database-recognizable statements to the corresponding database through the database connection pool. This solves the problem in the prior art that SAS language analysis software cannot directly and efficiently connect to general databases, and enables high-performance, high-reliability, and secure data access.

A system for training a model from a subset of data representing decentrally stored source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the training data from a source interface, compresses the training data, and synchronizes the training data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines training variables indicative of the meta-data, generates variable probability distributions, produces training variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface. The key interface allows for searching the meta-database for training variables, variable probability distributions, and / or variable associations. A model of the system may be trained in less time with a subset of data associated with the training variable.

The invention discloses a method for scheduling storage capacity in a high availability scene of block storage service, and relates to the technical field of OpenStack. Comprising the steps of 1, deploying an Openstack environment: adopting Openstack-helm to carry out containerization deployment, and deploying an API service, a scheduler and a Volume Manager in a pod form, 2, improving a cinder project of OpensStack, and 3, aiming at a storage service high-availability scene, before distributed capacity information of a self.stats storage pool is updated to Volume stats, updating the distributed capacity information of the self.stats storage pool to the Volume Manager, and then updating the distributed capacity information of the self.stats storage pool to the Volume Manager in the Volume Manager in the Volume Manager in the Volume Manager in the Volume Manager in the Volume Manager in the Volume Manager. The method comprises the following steps of: acquiring volume and information of a same storage pool by utilizing condition query of a database interface, updating distributed volume information of the storage pool in self.stats, updating the distributed volume information of the storage pool in the self.stats into volumeats, synchronizing the volumeats information to a scheduler, and performing storage volume scheduling according to the volumeats information through the scheduler. The method comprises the following steps of: acquiring the volume and information of the same storage pool by utilizing condition query of a database interface, updating the distributed volume information of the storage pool in the self.stats, and updating the distributed volume information of the storage pool in the self.stats into the volumeats.

The invention discloses a language model retrieval data processing method and device, a server and a storage medium, relates to the technical field of integrity verification of a model system knowledge base, and constructs a self-adaptive architecture from automatic verification of retrieval data consistency, isolation of inconsistent retrieval data and restoration of the retrieval data. Comprising the steps of performing risk assessment on dynamic knowledge vectors retrieved in real time; when the risk assessment reaches a preset risk level, calling a data verification contract from a preset distributed account book according to the unique identifier of the dynamic knowledge vector; the data verification contract is generated by executing an encryption process based on a meta-knowledge vector corresponding to the dynamic knowledge vector; the verification data verifies whether the contract is consistent with a dynamic data contract, wherein the dynamic data contract is generated by executing an encryption process based on the dynamic knowledge vector; and when the data verification contract is inconsistent with the dynamic data contract, calling a database interface to carry out failure marking on the dynamic knowledge vector in a database, and isolating the dynamic knowledge vector.

The invention discloses an official business management user portrait generation method and system based on Agent and MCP, and relates to the technical field of data processing. Comprising the steps of 1, constructing an official business management user portrait generation system, and 2, according to a natural language question input by a user, carrying out semantic splitting on the natural language question of the user by utilizing Agent through a question splitting module, extracting a core entity, identifying a question type, and generating an official business management user portrait generation system; 3, performing multilevel context analysis on the split entities through an MCP analysis module in combination with an MCP model, supplementing missing information, determining a sorting direction or computing logic according to a problem type, and generating an analysis result of the MCP model, and 4, calling a Text2SQL model to generate a standard SQL query statement based on the MCP analysis result through an SQL generation module, and sending the standard SQL query statement to a database. 5, executing the generated SQL statement through a data query module by using a database interface to obtain a query result, and checking and cleaning the query result to ensure data accuracy; and 6, generating a structured user portrait report through a portrait generation module based on the query result in combination with user historical query records and official business management scene features.

The present disclosure provides a measurement application control unit for a measurement application, comprising: a primary database interface configured to be coupled to a primary database, where the primary database is configured to store generic knowledge data about the measurement application; a secondary database interface configured to couple to at least one secondary database, where the at least one secondary database is configured to store specific knowledge data about the measurement application; the system includes a primary database, at least one secondary database, a text-based input interface configured to receive a text-based user request for a measurement application to be executed, a request processor coupled to the primary database, the at least one secondary database, and the text-based input interface, the request processor is configured to retrieve and output database entries from the primary database and the at least one secondary database, the similarity of the database entries to the text-based user requests being above a predetermined threshold.

The invention relates to the technical field of big data detection, in particular to a big data detection cloud platform. Comprising a data acquisition module which is used for acquiring to-be-detected data of each inspection mechanism from different data sources and comprises a data source connection sub-module and a data extraction sub-module; the data storage module is used for storing the collected to-be-detected data set and comprises an object storage sub-module and a data backup and recovery sub-module; and the data preprocessing module is used for carrying out primary processing on the stored data. According to the detection cloud platform, the data acquisition module comprises the data source connection sub-module and the data extraction sub-module, through mutual cooperation of the data source connection sub-module and the data extraction sub-module, the platform can be automatically connected to various data sources such as a database, an API interface and a log file, automatic data acquisition is achieved, data does not need to be manually imported one by one, and the detection efficiency is improved. Instead, the data source is connected with the platform through configuration parameters and rules, so that automatic acquisition of the data is realized.

The invention discloses a mining production operation data processing method based on multi-system data fusion, and belongs to the technical field of information management. A mining truck dispatching system data dictionary interface is constructed, a data dictionary interface field is set, a middle table and a mapping relation corresponding to an MES system are established, a data dictionary synchronization program is developed, and a unique primary key is determined. The method comprises the following steps: creating a production operation data interface, defining a production operation data interface field, establishing a middle table corresponding to an MES system and an association relationship, classifying production operation data, defining a business database interface data field and mapping, and generating final production operation data and a report in combination with related data such as a mineral rule and a test grade. The problem of manual calculation depending on business personnel in the prior art is solved, the timeliness, safety and accuracy of data are effectively improved, and the effects of automatic data transmission and instant use of function points are achieved.

The invention discloses a domestic time sequence database docking integration method for the Internet of Vehicles industry, and the method comprises the steps: S1, evaluating a domestic database, and selecting a domestic time sequence database suitable for the Internet of Vehicles industry; s2, designing a data docking strategy, obtaining vehicle data and loading the vehicle data into a time sequence database; s3, constructing a data integration platform, wherein the Internet of Vehicles platform is seamlessly connected with the domestic time sequence database; s4, analyzing the data and constructing a visual interface for real-time viewing; and S5, integrating a block chain technology, deploying an edge computing node, and realizing local rapid processing of the data. According to the scheme, through integration of the domestic time sequence database and the Internet of Vehicles platform, efficient storage, rapid query and intelligent analysis of data are realized, and the high requirement of the Internet of Vehicles industry for data processing is met.

The invention discloses a data transmission method, device and equipment, a medium and a product. The method comprises the following steps: acquiring a point cloud data set; dividing point clouds in the point cloud data set to obtain a plurality of views; starting a plurality of threads for parallel processing, wherein each thread processes at least one view; wherein the processing flow of any thread on the view comprises the following steps: splicing all the point cloud data in the view to obtain fragmented data; compressing the fragmented data to obtain the compressed fragmented data; according to the compressed fragment data and the insertion position identification information, generating a target SQL statement; and calling a database interface to execute the target SQL statement so as to insert the compressed fragmented data into a database, through the technical scheme of the invention, the loss of a network can be reduced, the burden of a server can be reduced, and the execution efficiency can be improved.

The invention discloses a broadband oscillation parameter identification method based on Bayesian reasoning. The method comprises the following steps: acquiring PMU oscillation recording data by connecting a WAMS database interface; setting a decomposition window length, initializing VMD parameters, and carrying out modal decomposition to obtain each oscillation mode; bayesian reasoning is carried out on the oscillation modes, and posterior parameter distribution and a mean value of broadband oscillation mode parameters are obtained through MCMC solving. The invention provides a broadband oscillation parameter identification method based on Bayesian reasoning, and the method system can judge and identify the modal components of complex multimode aliasing broadband oscillation signals, and accurately infer the modal information of the broadband oscillation data of a power grid.