367 results about "Administrative database" patented technology

Systems, methods, and apparatus are provided for automated identification of baseline data and changes in state in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the baseline data and changes in state based upon the measured and analyzed data in near real time, which is stored on each apparatus or device and / or on a remote server computer that aggregates data from each apparatus or device.

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.

To provide a website creation support device for creating a high-quality website in a short time by proposing a combination of parts optimized for each individual user. [Solution] The website creation support device 1 has a web part management database 1212 in which web part information which is the elements that make up a website is stored, a profile database 1211 in which profile information of a user 4 creating a website is stored, a communication unit 13 which enables communication of site-related information regarding the website between the user terminal 2 operated by the user 4, and a website creation support unit 11 which predicts the website desired by the user 4 based on the profile information and the site-related information, extracts selection candidates for web part information suitable for creating the website from the web part management database 1212, and presents this to the user 4 as web creation support information to support the creation of the website.

Managing database systems using human-readable declarative definitions, including reading, by a database development tool, a declarative expression for at least part of a database; identifying, by the database development tool, a first database platform including a native database language; and generating, by the database development tool, in dependence upon the declarative expression and the first database platform, a first set of native database language statements defining at least a portion of the database.

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.

The invention relates to the technical field of photovoltaic power station inspection. The invention provides a photovoltaic inspection management method and system based on an unmanned aerial vehicle, and the method comprises the steps: constructing an inspection management database based on historical data; respectively constructing an inspection planning model and a data analysis and evaluation model based on the inspection management database; planning a flight path and an endurance strategy through the inspection planning model, and dynamically optimizing the flight path and the endurance strategy through the inspection planning model according to the real-time data; an inspection task is executed according to the dynamically optimized flight path and the endurance strategy, related data of the photovoltaic power station in the inspection process are collected in real time, and the related data are returned in real time; related data returned in real time is analyzed and evaluated through the data analysis and evaluation model, and corresponding operation and maintenance measures are formulated according to evaluation results, so that the potential problems that an existing inspection mode depends on manual inspection, the efficiency is low, each corner of the photovoltaic power station is difficult to comprehensively cover, and missing is likely to occur are solved.

An autonomous tracking system receives a request to administer a patient-specific therapeutic comprising a scanned identifier associated with a labeled dual chamber device (DCD) including a first chamber having one or more lyophilized components, a second chamber having a reconstitution buffer, and a locking mechanism for controlling access to the DCD chambers. A tracking engine queries an administration database based on the scanned identifier to find a notarized ledger associated with the DCD and retrieves a blockchain entry comprising a first distributed ledger transaction identifying the one or more lyophilized components and a digital token associated with an owner of the labeled DCD. After the owner is authenticated, a second distributed transaction is created identifying the one or more lyophilized components as being authorized for administration to the patient. In response, autonomous access to the one or more lyophilized components unlocks the locking mechanism to administer the medication.

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 discloses a visual database system supporting real-time collaboration and computer equipment, and the system comprises a space management module which is used for managing a database space and dividing a database into a plurality of spaces, and the use permissions of different users are restrained to be in the corresponding spaces; the user system module is used for managing user attributes and user permissions of the users in each space based on configuration operation of an administrator on the visual page; the database management module is used for performing data storage in each space based on preset database configuration data, and querying the data stored in the corresponding space based on a data query instruction input by a user on the visual page; the operation auditing module is used for querying and auditing the data modification information of all the spaces based on the user permissions of different users and recording the data modification information; and the API management module is used for accessing a RESTful interface to query and modify the data in the database management module.

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 relates to an operation and maintenance change influence assessment method and system based on a knowledge graph, and the method comprises the steps: integrating a configuration management database, call chain data and network connection data, constructing a directed software and hardware knowledge graph through a graph database, querying a change influence path through a depth-first search algorithm, and carrying out the operation and maintenance change influence assessment. A graph visualization engine is applied to generate a change knowledge graph, and clear and accurate upstream and downstream associated information of a change object is provided for review and operation and maintenance personnel; according to the method, frequent item analysis is carried out on historical abnormal indexes, label propagation calculation is carried out on an abnormal index map, and a community propagation sub-graph is generated, so that potential and dispersed abnormal information can be aggregated and associated more scientifically and intelligently, and a rapid positioning auxiliary tool is provided for faults caused by changes; the scientificity and accuracy of change evaluation are improved, the change risk is effectively avoided, and quick positioning can be performed when a fault occurs.

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 relates to the technical field of student activity management, and particularly discloses a student activity management system and method based on multi-dimensional data, and the system comprises a camera which is installed in a student activity area and is used for collecting a student image; the monitoring interface is connected to the camera and is used for receiving and extracting the student images; the participation condition detector is used for receiving the student image transmitted by the monitoring interface, identifying and marking the identity of the student based on the student image, and detecting and uploading the participation condition of the student; and the management database is used for filing and storing the participation conditions of the students. Therefore, more comprehensive feature information about the student object in the activity can be acquired in a multi-dimensional data acquisition mode, so that the complex behavior pattern of the student can be more effectively captured, and the activity participation condition of the student can be identified and evaluated.

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 a transformer operation state monitoring method and system, electronic equipment and a storage medium, and relates to the technical field of urban carbon neutralization planning. According to the method, transformer internal parameters of which the influence degree on safe operation of a transformer exceeds a preset degree under a power flow switching working condition are acquired as target internal parameters, so that a transformer performance sample fine management database is constructed; based on the database, establishing a linearization relation of target external reference, including voltage and current, of the transformer participating in the target internal reference; and establishing a sensitivity equation of the target internal parameter relative to the target external parameter based on the relation, establishing a high-dimensional feasible region participating in the insulation life of the transformer in the target based on the sensitivity equation, and determining a low-order safe operation region of the transformer based on the high-dimensional feasible region so as to realize the evaluation of the operation state based on whether the working condition point of the transformer is located in the operation region or not. Therefore, the problem that the influence of frequent power flow switching on short-term operation characteristics, long-term operation life and load capacity of the transformer cannot be quantitatively analyzed is solved.

The invention relates to the field of automatic control, in particular to an electric actuator control system and an electric actuator thereof, which comprise a working condition parameter detection module, a working condition matching module, a torque adjusting module, a valve control module, an overload protection module, a protection performance detection module, a protection performance analysis module and a management database, the torque coefficient corresponding to the valve type is obtained according to valve type matching, the expected torque value of the valve is obtained by combining the torque coefficient corresponding to the fluid parameter, the valve torque value is adjusted accordingly, the deviation distance of the valve detection point is obtained through the coordinate position, and therefore the valve position is adjusted. Whether the electric actuator is overloaded or not is judged and processed by analyzing the load degree of the electric actuator, the protection performance of the electric actuator is obtained by analyzing the protection performance parameters of the electric actuator and fed back, accurate control and adjustment are achieved, and the safety and stability of the system are enhanced.

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.

The invention relates to the technical field of computer vision, in particular to an intelligent thermal dye sublimation transfer paper defect identification system based on image analysis. Comprising an image acquisition module, a pattern defect acquisition module, a pattern defect analysis module, a color defect acquisition module, a color defect analysis module, a paper defect detection module, a paper defect analysis module, a transfer finished product comprehensive analysis module and a management database, according to the system, a pattern evaluation coefficient of a transfer finished product image is obtained through analysis of pattern defect parameters of the transfer finished product image, a color evaluation coefficient of the transfer finished product image is obtained through analysis of color defect parameters of the transfer finished product image, and a paper evaluation coefficient of thermal dye sublimation transfer paper is obtained through analysis of paper defect parameters of the thermal dye sublimation transfer paper. Therefore, the defect evaluation index of the thermal dye sublimation transfer paper is obtained through comprehensive evaluation, specific defect sources and influence degrees in the thermal dye sublimation transfer process can be determined, and problems can be found and solved quickly.

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.