275 results about "Administrative database" patented technology

This disclosure relates to methods, systems, and devices for AI / ML assisted management of a radio access network (RAN). In particular, an LLM is employed to generate answer to user queries, for example in the form of code that can be executed upon streaming data from the RAN, including performance management and control management databases. To provide prompts the LLM can understand, an LLM agent employs a knowledge base and experience base to transform the language of the queries from the highly technical telecommunications domain to a general domain. Frequently asked questions and their answers may be stored in the experience base and used instead of using the LLM.

The invention relates to the field of artificial intelligence, in particular to an intelligent standard knowledge retrieval system based on an AI large model, which comprises a standard knowledge management database, a multi-source acquisition preprocessing module, a semantic understanding and indexing module, an intelligent retrieval engine module, a knowledge enhancement module, a user interaction feedback module, a security control module and a deployment expansion module. The standard knowledge management database is used for storing standard knowledge design data, real-time retrieval data and feedback data and constructing a dynamically updated standard knowledge resource pool; through the multi-source standard knowledge acquisition and preprocessing module, multi-channel objective standard data can be integrated and dynamically updated, and the problem of knowledge fragmentation is solved; and through the semantic understanding and indexing module, industry professional semantic accurate matching is realized, the limitation of traditional keyword retrieval is broken through, and the accuracy and efficiency of standard knowledge retrieval are remarkably improved.

The invention discloses a drainage basin water environment intelligent management method and system, and belongs to the technical field of environment monitoring and water resource management. Multi-source heterogeneous water environment data is obtained, and a multi-modal pollution sensing map is constructed through fusion; extracting a time mutation vector and a spatial offset path of a pollution abnormal diffusion source point based on the map, and generating a pollution propagation sensitive weight map; performing cross-space-time matching on the sensitive weight map and historical climate disturbance data, generating a pollution causal chain path map by using a deep causal learning model, identifying a potential hidden pollution source distribution unit, predicting a response trend of the potential hidden pollution source distribution unit to future water quality change, and forming a multi-scene pollution evolution simulation result; and finally, constructing a pollution response priority index map, and generating a treatment resource optimal allocation sequence and an intervention strategy in combination with the drainage basin management database. According to the invention, intelligent identification and dynamic treatment optimization of complex pollution diffusion behaviors can be realized, and scientificity and timeliness of water environment management are improved.

The invention relates to a medical data dynamic management method based on multi-modal data fusion and deep reasoning, which comprises the following steps: establishing a three-layer dynamic management architecture, collecting various medical data of a patient in real time through a bottom layer, performing primary processing on the various medical data of the patient, receiving the primarily processed medical data through a middle management layer, and performing dynamic management on the medical data through the middle management layer. The double-flow Transform network architecture performs medical event prediction, the event-driven architecture triggers a data processing flow, medical data after primary processing is subjected to dynamic extraction, data conversion, data loading and multi-modal data fusion processing, a data processing result is transmitted to the application layer, the application layer performs dynamic field generation, and the event-driven architecture performs multi-modal data fusion processing. And data automatic dynamic management and real-time feedback calibration are carried out based on a data fusion analysis result. The limitation of a static field structure existing in an existing medical data management SEER database is solved, the data quality is improved, automatic management and real-time feedback calibration of follow-up visit data are achieved, and separation of a follow-up visit system and a data management platform is avoided.

Provided are an information processing apparatus and method for providing a monetary mechanism for providing an online interview. 【Solution means】In an information processing system in which an information processing apparatus, a plurality of service terminals, and a plurality of store terminals are connected to a network, the information processing apparatus 3 includes an acquisition unit 331 that acquires a service ID from the store terminal 2, an interview processing unit 332 that executes processing for conducting an online interview between the store terminal 2 and the service terminal 1, a first determination unit 334 that refers to a first condition management database and determines a service charge based on a first condition associated with the service ID corresponding to the interview conducting business operator, a second determination unit 335 that refers to a second condition management database and determines a store charge based on the second condition, and a charge processing unit 336 that executes processing for billing the service charge to the interview conducting business operator and executes processing for paying the store charge to the store business operator of the store or processing for billing the store business operator of the store.

A change management task automation system reduces manual effort required for change audits and streamlines the change management process, enforcing preventative compliance with change management best practices. A plurality of automation modules provides change management task automation functionality for several processes, including software change management, database change management, key report change management, data lake change management, patch change management, and controlled version document repository management automation.

The invention relates to the technical field of sectional material excess material management, and discloses a sectional material excess material management method and device and electronic equipment, and the method comprises the following steps: S1, setting a minimum available length threshold value of excess materials, which is used for judging whether the minimum available length threshold value is included in an excess material management process or not; s2, the excess materials generated by cutting are recognized, information including the color, the length, the surface state and the profile structure attribute is obtained, and a unique identifier is generated for each section of excess materials; s3, storing the excess material information meeting the conditions into an excess material management database, and associating storage position information of the excess material management database; and S4, after a new order request is received, screening matched excess materials in the excess material database according to an order demand to form a candidate set. According to the method, a structural management technical scheme based on geometric contour reconstruction and matching of the excess materials is adopted, and the identifiability, traceability and reutilization of the excess materials in the machining process are achieved. The technical effects of intelligent classification and efficient scheduling of the processing residual materials are achieved.

Embodiments relate to system and methods involving use of a technique for managing a database for producing a material composition having a thermodynamic phase. The technique can include: receiving a binary phase diagram for each material to be used as a component of a high-entropy alloy (HEA); using one or more active learning machine learning techniques for generating a feature, the feature including: a primary feature that is representative of a probability that an HEA will exhibit a solid solution phase and / or an intermetallic phase, and a physics-based feature that is representative of a factor related to formation of a desired intermetallic HEA phase; encoding the primary feature and the physics-based feature; generating an output representation of a HEA alloy composition and phase of a predicted materials composition; and selecting a HEA composition and phase that will meet a material design criterion.

The invention provides an internet right product agent management system, and relates to the technical field of product agent management. The system comprises a product management module, an order management module, an agent management module, a database and a data analysis module. The system processes on-off and stock of products through the product management module, the order management module calculates commission, and the agent management module achieves credit evaluation. The data analysis module predicts requirements through a multi-layer architecture; a data input layer integrates internal and external data; the analysis engine layer adopts feature coding and a time attention mechanism to model space-time correlation, and outputs a demand prediction formula; and the decision output layer generates an agent personalized report through inventory calibration, credit grading and regional weighting strategies, recommends products and early warns risks. The system realizes intelligent acquisition and sales decision making, and improves the operation capability and market influence of the system.

The invention discloses a figure scene generation system based on AI interaction. The figure scene generation system comprises a user interaction design module, a figure image shooting module, a figure image analysis and processing module, a figure image processing module, an image integration and correction module, an image generation module and a management database. The figure image shooting module is used for acquiring a user image and a microstructure of a skin surface by using a high-definition camera, the microstructure comprises a skin glossiness reference value, a wrinkle level reference value, pore characteristics and pigmentation, and the user image contains a hair coverage rate; according to the method, an algorithm is used for calculating pore features, color conversion is carried out on a microstructure to obtain pigmentation, a user age evaluation correlation coefficient is obtained through calculation of skin glossiness, a wrinkle level, the pore features, the pigmentation and a hair coverage rate, and a more accurate age evaluation result is provided by improving an age prediction method. The features of skin texture, pigmentation and the like can be quantified more accurately, so that the accuracy of age assessment is improved.

The invention relates to the technical field of equipment full-life-cycle management, and discloses an equipment full-life-cycle management method and system based on a cloud service platform, and the method comprises the steps: building a full-life-cycle management database of equipment on the cloud service platform, and carrying out the centralized storage and management of the data of each stage of the equipment; monitoring the health state of the equipment in real time, and regularly uploading monitoring data to the cloud platform; a data analysis tool in the cloud platform is utilized to intelligently analyze the equipment data, identify potential faults and provide predictive maintenance suggestions; collecting user feedback and operation data, evaluating equipment performance, and dynamically adjusting a management strategy according to feedback; and generating an equipment life cycle report, evaluating the environmental influence of the equipment, and formulating a corresponding optimization scheme. According to the method, a centralized management life cycle database is established, efficient integration and management of data of equipment in different stages are achieved, the problem of data islands can be effectively solved, and transparency and real-time performance of information circulation are improved.

The invention relates to the field of engineering management, in particular to a project engineering whole-process data intelligent evaluation system which comprises a project relation construction module, a carbon emission information acquisition module, a correlation analysis module, a path optimization module, a carbon emission improvement analysis module and a management database. According to the system, the whole process of a project is divided into construction stages, a network diagram is drawn, a carbon emission source is identified, emission factors are associated to carry out carbon emission accounting, the carbon emission proportion of each device in the corresponding stage is calculated, key devices are screened, correlation is analyzed, an optimal combination scheme is provided, device use can be optimized, overall carbon emission in the construction stage is reduced, and the construction efficiency is improved. And meanwhile, whether the transportation path is optimized or not is judged in combination with the transportation mileage and carbon emission correlation coefficient, the transportation cost and the transportation time, so that the optimized path is found for each transportation material through the weighted graph, the carbon emission in the transportation link is reduced, and the overall benefit of the project is enhanced.

The invention discloses a Text2SQL (Structured Query Language) system and method based on cue words. The system comprises a natural language input module for receiving and preprocessing a natural language query statement; the metadata management module is used for managing database metadata information; the cue word generation module is used for generating cue words containing database modes, user problems and SQL requirements on the basis of the query statements and the metadata; the large language model module is used for generating a preliminary SQL based on the cue word; the SQL grammar verification module is used for verifying grammar and feeding back errors; the manual auditing module is used for auditing and editing the SQL statements passing the verification; and the SQL execution module is used for executing the SQL passing the audit and returning a result. According to the method, the accuracy is improved by combining cue word guidance and a large model, the field adaptability is enhanced by relying on metadata, the data security is ensured by introducing manual auditing, the accuracy and security of SQL generation in a complex query scene are remarkably improved, and the development and maintenance cost of the system is reduced.

The invention discloses an automatic operation and maintenance system based on fusion of an AI agent and a configuration management database, and the system comprises a data collection module which is used for automatically collecting configuration information of IT infrastructures through a multi-mode collection technology; the configuration management database is used for converting the configuration information into configuration items and dependencies to construct a knowledge graph; the AI agent comprises a log analysis unit used for carrying out structured processing on the unstructured log data; the anomaly detection unit is used for carrying out anomaly detection on the structured log data and time sequence index data by adopting an unsupervised machine learning algorithm; the root cause positioning unit is used for performing topological relation reasoning on the detected abnormal events based on a knowledge graph, and determining a fault type and a root cause configuration item causing the fault; and the automatic executor is used for calling an automatic operation and maintenance tool to execute repair operation according to the fault type and the root cause configuration item. The operation and maintenance efficiency can be improved, and the fault repair time can be shortened.

The invention provides a cross-platform asset synchronization method and system for a configuration management database, and the method comprises the steps: monitoring the creation, reading, updating and deletion events of resources, and triggering an asset synchronization instruction according to the events; in response to a trigger instruction of asset synchronization, generating a corresponding multi-dimensional synchronization task according to a dynamically configured synchronization strategy and according to preset condition filtering, priority ranking and dependency in the synchronization strategy; queuing the multi-dimensional synchronization tasks according to a synchronization strategy and a time level, generating an asynchronous task queue according to a queuing sequence, and sequentially scheduling and executing each task in the asynchronous task queue; and according to the specific requirements of the task and the type of the target system, dynamically adapting to a supported protocol, and sending the task to the corresponding target system for execution. Through the four-layer architecture design of event-driven triggering, rule engine decision, task queue scheduling and resource gateway adaptation, a complete asset synchronous closed loop is formed, and asset synchronous management of the CMDB is realized.

An illustrative data storage management system comprises a management database that stores administrative preferences and system configurations, as well as results and / or statistics of completed secondary storage operations, i.e., information needed by the system to protect customers' data and to track and recover the protected data, including secondary copies such as backup copies, archive copies, etc. The disclosed data storage management system is configured to protect its own system data subject to a very aggressive (short) Recovery Point Objective (RPO), by using an innovative infrastructure that enables the system's storage manager to fail over to any number of other failover destination storage managers, each one comprising a destination management database. An illustrative database granularly tracks whether each and every transaction log file has been successfully applied to each and every destination management database to synchronize with the source management database.

The invention relates to an intelligent water affair center system for a nuclear power plant, and the system comprises a water affair production management system which is used for carrying out the centralized control and data management of a nuclear power plant water treatment system, a water resource and water chemical system, and a plant area water network system; the subitem inspection system is used for performing inspection processing on each area of a preset water affair range so as to perform real-time state monitoring and remote data acquisition and management on nuclear power plant equipment; the water affair equipment management system is used for performing data storage and management on equipment data during operation and maintenance of the process equipment through a pre-constructed equipment management database; and the regional safety management system is used for carrying out real-time monitoring and abnormity judgment on a preset region and preset equipment in a remote video monitoring mode, and carrying out early warning and alarming on an abnormity judgment result. Intelligent operation and management of the nuclear power plant are realized, and the operation, maintenance and management cost of the nuclear power plant is reduced.

The invention discloses a mobile infusion teaching experiment system based on a digital twinning technology, which collects data through an infusion operation module, and transmits the data to a digital twinning modeling module through a data collection and transmission module to construct a virtual model and perform real-time mapping. The mobile scene simulation module provides complex scene simulation, the real-time feedback module analyzes errors by using an artificial intelligence algorithm and performs multi-modal feedback, the intelligent evaluation module generates a skill evaluation report, the teacher management module supports teacher monitoring and management, and the database module stores data and assists in teaching optimization. The system improves the operation skill and risk coping ability of students, optimizes teaching management, and has a wide application prospect.

A system and method are provided for integrating a property management system and a cyber vulnerability management system to provide remediation for assets in an environment. Information obtained about network connected mechanical assets within the environment is respectively obtained from a tag on the asset. For each asset the asset is identified through a property management database based on the information in the tag and a cyber position of the asset is obtained through a digital network identifier in the tag from the cyber vulnerability management system. In response to identification of the asset having a cyber vulnerability, remediation for the cyber vulnerability is determined, scheduled, and initiated.

The invention belongs to the technical field of property management, and provides an intelligent property management method and system based on the Internet of Things, and the method comprises the steps: S1, building a property management database; s2, acquiring the operation state of facility equipment, environment quality parameters and personnel activity data in the community in real time through an Internet of Things sensor network; s3, processing and analyzing the data in the property management database by using a big data analysis technology; s4, automatically generating a property management strategy according to an analysis result; by establishing the property management database and collecting and analyzing data in real time, automatically generating the property management strategy and pushing customized information to property management personnel, owners and visitors, and establishing a feedback mechanism to continuously optimize services, intelligence, individuation and high efficiency of property management are realized, the management efficiency and service quality are remarkably improved, and the management cost is reduced. And construction of a harmonious community is facilitated.

A cloud-based private access system integrates static CMDB data with real-time access telemetry to automate Zero Trust segmentation. Administrators upload CMDB files (e.g., CSV / JSON) describing applications, FQDNs, IPs, ports, protocols, ownership, and priorities. An analytics management service stages and normalizes the data, retrieves reference domain data from an in-memory cache, and queries a telemetry engine to correlate intended configurations with observed usage. The system detects mismatches, over-permissive wildcard access, and auto-discovers non-listed elements such as subdomains, ports, or protocol combinations. It then generates prioritized recommendations to refine wildcard rules, create explicit allow policies, and merge or split application groups. Administrators review, simulate, and approve updates, enabling phased rollout, rollback, auditing, and continuous policy tuning based on evolving user and application behavior.

A system for integrated data provenance and reconciliation across heterogeneous financial systems, the system includes: a data ingestion module implemented as a hardware interface and configured with high-throughput adapters for structured and unstructured data ingestion from multiple heterogeneous financial subsystems, including bank ledgers, securities trading platforms, risk management databases, and regulatory reporting systems; a schema harmonization processing unit consisting of a dedicated FPGA (Field Programmable Gate Array) structure configured to perform real-time schema alignment, metadata normalization, and semantic mapping across different data models; a lineage tracking processor array implemented on application-specific integrated circuits (ASICs) and configured to encode dataflow transitions into a graph-encoded structure in which each node represents a transformation and each edge represents a dependency; a reconciliation computation cluster unit embodied as a set of graphics processing units (GPUs) configured to execute parallelized reconciliation techniques, anomaly detection routines, and balance verification processes between transformed financial records and reference records; a cryptographic verification unit comprising secure key storage hardware, quantum-resistant encryption modules, and tamper-resistant enclaves configured to generate, anchor, and verify cryptographic signatures for provenance and reconciliation events; a secure storage subsystem configured in a WORM (write-once, read-many) configuration with hardware-based integrity locks for storing immutable provenance and reconciliation logs; a controller with a dedicated visualization processor configured to generate interactive dashboards and drill-down analyses of lineage charts and voting results; and a modular chassis structure consisting of a high-speed backplane interconnect, secure power distribution modules, and tamper-evident enclosures, enabling the system to achieve real-time scalability, hardware-level security, and auditability of financial data flows across heterogeneous infrastructures.

A system and method for maintaining database integrity. A first storage appliance receives data writes and increments an associated last sequence number (LSN) X upon each data write thereto. A second storage appliance receives data writes and increments an associated LSN Y upon each data write thereto and an external device is coupled to the first storage appliance and the second storage appliance. The first storage appliance and the second storage appliance comprise a cluster management database with data writes being replicated on both the first storage appliance and the second storage appliance. Upon the first storage appliance beginning to shut down, the LSN X is written to the external device.

The invention provides a college entrance examination volunteer filling assisting method and system based on a large language model, and the method is characterized in that the method comprises the steps: presetting a question template and an SQL template according to the volunteer filling scene demands and a database schema; analyzing a natural language query Q by adopting a large language model and designing a cue word, and combining a question template sequence number and an analysis result to generate a structured query condition set CQ; generating a database SQL query statement according to the CQ in combination with a preset SQL template; and managing database connection by using a connection pool technology, executing SQL query, generating a result set RS, and outputting information to a user. Through the method, the query efficiency and the interaction friendliness of the volunteer filling auxiliary system are improved.

A system and method are provided for integrating a property management system and a cyber vulnerability management system to provide remediation for assets in an environment. Information obtained about network connected mechanical assets within the environment is respectively obtained from a tag on the asset. For each asset the asset is identified through a property management database based on the information in the tag and a cyber position of the asset is obtained through a digital network identifier in the tag from the cyber vulnerability management system. In response to identification of the asset having a cyber vulnerability, remediation for the cyber vulnerability is determined, scheduled, and initiated.

The invention relates to the field of computer science and technology, in particular to a data uploading fault monitoring system based on intelligent early warning, which comprises a target data acquisition module, an early warning feature extraction module, an alarm rule setting module, a linkage alarm module, a network construction module, an alarm analysis module and a management database, the system carries out data acquisition by defining an early warning target, extracts each early warning feature of the early warning target data, determines alarm points according to historical early warning target data of each device, obtains an association relationship between the alarm points of each device, constructs a single alarm point rule and a linkage alarm rule, and generates alarm content. According to the method, the alarm features and the inherent features of the early-warning target are subjected to correlation analysis, the alarm early-warning network is constructed, the risk condition of the specified early-warning target is further evaluated, the essence and the influence range of the alarm event can be known more comprehensively, and thus the cause of the fault and the possible consequence can be judged more accurately.

A system for managing data availability for database transactions is disclosed. The system is programmed to receive source data and extract a plurality of events from the source data. The system is programmed to create a halt record corresponding to each event of the plurality of events. The system is programmed to resolve conflicts among one or more halt records. The system is programmed to receive a request for a specific database transaction related to a specific database item from a client device. The system is programmed to determine whether any halt record is in effect for the specific database item. The system is programmed to perform the specific database transaction in response to determining no halt record is in effect. The system is programmed to transmit a result of the specific database transaction in response to the request to the client device.

A system for balancing query execution against ontology-based databases among multiple user accounts and related methods are disclosed. The system is programmed to receive database queries transformed from ontology queries from user accounts. The system is further programmed to manage execution of the database queries to enable fair utilization of computing resources among the user accounts, based on tracked usage of computing resources of each user account or estimated costs of pending database queries considering access controls associated with the ontology. Managing execution of the database queries comprises preempting a complex database query for another database query associated with a user account having a current top priority in query execution.

The invention provides a power supply system operation and maintenance monitoring method and platform based on a neural network, and relates to the technical field of power supply system operation and maintenance. Historical operation data of a power supply system is collected, and an operation and maintenance management database is constructed according to the historical operation data to mark historical operation states of power supply stations in the power supply system; based on the historical sensing detection images and the historical operation and maintenance management parameters, the current sensing detection images and the operation and maintenance management parameters are integrated into a multi-source splicing feature map through a wavelet neural network model; fault feature classification is carried out on the multi-source splicing feature map based on a softmax classifier, and the operation state of each power supply station is updated in real time according to the classification result of a jump convolution network model, so that the real-time operation state of each power supply station is obtained; and comparing the historical operation state of each power supply station with the real-time operation state, and generating an operation and maintenance report and fault trend prediction of the corresponding power supply station. According to the invention, supervision efficiency and reliability of operation and maintenance of the power supply system are improved.

The invention discloses a space environment welding digital twinning method based on multi-scale dynamic coupling, which comprises the following steps: S1, collecting key data in a welding process, and establishing a basic numerical model of the welding process and tissue change in combination with experimental data; s2, on the basis of the basic numerical model, a numerical simulation method is adopted to construct a digital twinborn model of the welding process; s3, establishing a real-time data interaction mechanism between the digital model and actual welding equipment by utilizing a virtual-real synchronization model in the digital twin model; s4, on the basis of feedback data obtained by a real-time data interaction mechanism, welding process parameters are automatically adjusted through an intelligent optimization model in the digital twin model, so that the structure change in the welding process is matched with a target prediction result; and S5, establishing a welding process data management database, storing the key data and the adjusted process parameters, and continuously training and optimizing the prediction precision of the digital twin model based on historical data in the database.