43 results about "Linked data" patented technology

This invention discloses a three-dimensional state assessment and closed-loop feedback system based on multimodal physiological signals, comprising a healthy state nurturing subsystem, a core monitoring subsystem, a state control unit, and a unified user profile management unit. The core monitoring subsystem constructs a three-dimensional gradient assessment architecture encompassing physiological, emotional, and cognitive aspects, outputting state indices hierarchically. The healthy state nurturing subsystem, through a three-source driven and seven-stage progressive module, achieves phased task nurturing and automatic unlocking. The system features dual operating modes: local offline and authorized cloud encrypted upload, balancing data privacy with in-depth analysis. A unified user identifier links data from both systems, generating a state time-series graph. This invention solves the technical problems of traditional solutions, such as single assessment dimensions, lack of hierarchical progressive analysis, weak privacy control, and fragmented data. It achieves multimodal fusion assessment, three-dimensional hierarchical recognition, hierarchical privacy control, and full-cycle closed-loop adjustment, and is adaptable to smart wearables, smart cushions, and other terminal devices.

This invention discloses a method and system for integrated end-to-end data management of complex equipment. First, the server acquires structured and unstructured data from the design, manufacturing, and operation / maintenance stages of the system via a data acquisition module. Second, edge nodes perform data preprocessing, unifying data formats and time bases. Subsequently, the system constructs entity attribute and time-series models through a unified data modeling module, and achieves multimodal information alignment and representation through a data fusion module. The system also incorporates a quality risk early warning model, combining historical data and real-time status to achieve risk scoring and fault prediction. Finally, the application service module supports business functions such as intelligent scheduling, quality traceability, predictive maintenance, and performance analysis. This invention integrates the entire data flow across design, manufacturing, and operation / maintenance, solving problems such as data silos, low system collaboration efficiency, and difficulty in quality traceability, thereby improving the intelligence level and decision-making capabilities of complex equipment manufacturing.

The application relates to the technical field of data processing, and provides an API-level data flow transfer full-link protection method and device, equipment and a medium, which can collect application layer business log data and kernel state network flow data as to-be-processed data in real time by adopting a non-buried point mechanism, realizes non-intrusive full-amount data collection, identifies to-be-protected data by adopting a non-feature data supplement identification mechanism, improves the accuracy and generalization ability of data identification, solves the problem that non-feature data cannot be controlled, constructs an API-level full-link data flow transfer map according to the to-be-protected data and the to-be-processed data, provides a complete topology basis for subsequent risk detection and tracing, performs risk detection according to the API-level full-link data flow transfer map, improves the effectiveness of risk detection, performs bidirectional tracing according to the detection result and the API-level full-link data flow transfer map, obtains a tracing report, can quickly locate a data anomaly source and an influence range, and provides a complete evidence chain.

The application relates to the technical field of server security monitoring, in particular to a full-link data monitoring method and system for server operation and maintenance, which comprises the following steps: determining the growth difference degree of each server based on the distribution and change trend of various performance parameters in each server; determining the service abnormal value of each server based on the growth difference degree of each server and the average difference between the growth difference degrees of all servers in the same link server set; and monitoring the full-link data security based on the service abnormal value of all servers and a threshold segmentation algorithm. The application improves the accuracy of monitoring the full-link data security by comprehensively analyzing the correlation among the throughput, response time and error amount of the servers in the cloud server platform and combining the differences between different servers in the same link.

This application provides a method, apparatus, device, and storage medium for determining redundant code. The method involves acquiring access data corresponding to multiple page links in a project to be processed, and a file dependency graph corresponding to the project; determining target page links that meet preset conditions based on preset duration and access thresholds, according to the access data corresponding to the multiple page links; identifying cleanable redundant code files based on the target page link data and the file dependency graph; and cleaning up the redundant code files. This technical solution can more accurately clean up redundant code.

The application discloses a CC attack intelligent defense method, device and equipment based on a large language model, comprising: performing traffic semantic translation on captured real-time network traffic to generate a semantic description object including a time sequence behavior sequence and context features; inputting the semantic description object into a domain fine-tuned large language model to perform attack intention reasoning to obtain a threat judgment result, generating a corresponding dynamic defense strategy description based on the threat judgment result; compiling the dynamic defense strategy description into an executable instruction sequence, and issuing the executable instruction sequence to a downstream security device to drive execution to obtain an execution result; based on the execution result, monitoring network traffic situation and business indicators after the downstream security device executes the strategy to generate strategy effect evaluation data; and optimizing the large language model based on whole-link data including the semantic description object, the threat judgment result, the dynamic defense strategy description and the strategy effect evaluation data.

A computer-implemented method is provided for an automated extract, transform, and load process for a target database comprising linked data. During the data transformation phase linked data elements are added as data to a data set.

This invention relates to the field of visual recognition, and more particularly to an intelligent sit-up recognition method and device based on AI vision and the Internet of Things. The method includes the following steps: facial verification of the examinee in position using a camera; upon successful verification, a trusted identity identifier is generated; an examination trigger signal is generated based on the trusted identity identifier to activate the sit-up and sit-up detection terminals for continuous motion detection, generating time-series motion link data; motion verification is performed on the time-series motion link data to generate a real-time counting stream; upon detecting the examination termination condition, the real-time counting stream is statistically analyzed to generate a test result; the trusted identity identifier and the test result are data-bound and uploaded to a cloud database for centralized storage and management. This invention achieves accurate and reliable sit-up recognition and counting, improving examination management efficiency.

The application relates to the technical field of database intelligent query, in particular to a dynamic query method and system based on a running scene and electronic equipment thereof, the method comprises the following steps: generating real-time running data based on business link data and a preset business program after mounting; obtaining a query statement corresponding to a query user, outputting relevant training data based on a query vector combination and a preset vector database; inputting the query statement and the relevant training data into a large language model, and calling a preset parameter mechanism to obtain a structured parameter; positioning an abstract filtering template in a template database based on a positioning feature, and dynamically cutting the abstract filtering template based on a condition feature to obtain an SQL standard statement corresponding to the query statement. The application adopts a template and a dynamic cutting strategy, enhances query accuracy and user intention matching degree, and significantly improves the accuracy and practicability of natural language query in a complex business scene under the premise of guaranteeing correct SQL execution.

The application discloses an advertisement putting intelligent optimization system and method based on a cloud platform, relates to the technical field of advertisement putting optimization, quantitatively disassembles a global putting optimization target, constructs a cloud edge end unified feature semantic space, generates a global feature distribution benchmark, collects and semantically maps real-time context features of a putting scene, completes real-time detection and quantification of feature distribution deviation based on the global feature distribution benchmark, completes dynamic matching and loading of an adaptive model based on the quantification result of the feature distribution deviation, inputs the quantitatively disassembled global putting optimization target into the adaptive model, performs checking and correction, generates and executes a cooperative putting decision, completes collection and isolated attribution of putting full-link data on the cloud platform side, realizes correlation tracing of feature distribution deviation and global putting effect loss, and iteratively adjusts the cloud edge end, and the application improves the precision and rationality of advertisement putting decisions through the global putting optimization target.

This invention discloses a land ecological quality assessment method and system based on linked data acquisition, belonging to the field of ecological environment monitoring and management technology. It utilizes satellite remote sensing imagery to construct macroscopic ecological characteristics, identifies abnormal areas through time series decomposition, and calculates confidence levels. When the confidence level exceeds a threshold, it automatically triggers a drone to perform dynamic path planning and high-precision scanning, real-time calculation of canopy structure and texture features. If the drone determines that vegetation stress exists, it directionally wakes up ground sensors or dispatches robots to collect microscopic physicochemical data. It performs spatiotemporal registration of multi-source data from air, space, and ground, dynamically adjusts the weights of the evaluation model by calculating inter-scale deviations, and uses microscopic measured data to inversely calibrate remote sensing inversion parameters. This invention solves the problems of lack of linkage between different levels and difficulty in correcting conflicts between multi-source data in traditional monitoring, achieving low-cost, high-precision, and evolvable land ecological quality assessment and degradation attribution diagnosis.

This system efficiently assists in identifying the cause of errors that occur in data linked between business systems. [Solution] The business support system comprises an error information collection unit that collects linked data when an error occurs in linked data which is linked data between multiple business systems, each of which performs business processing, and to which data identification information, trace tag information including data source information and destination information, and error-related information are attached; and an error estimation unit that estimates the linkage path and error location where the linkage error occurred, indicating an error related to the linked data, based on the trace tag information contained in the linked data collected by the error information collection unit.

The application discloses a kind of factory outside warehouse allocation, warehousing, warehouse and cargo right transfer integrated implementation method based on table value parameter, belong to industrial intelligent manufacturing and ERP / MES integrated management technical field.The application adopts heavy back end, light front end architecture, with custom table value parameter as unified data transmission carrier, through single storage procedure centralized control allocation, warehousing, warehouse, auditing, cargo right transfer and other full-service operations, all write operations are included in database atomic transaction guarantee data consistency.With core business wide table as data backbone, through only batch number, document number realizes factory warehouse and factory outside warehouse full-link data through, innovatively realizes the management mode of cargo right transfer and physical warehouse separation, while supporting warehouse information and enterprise organization post information automatic linkage, front end only retains extremely simple interactive function.The application solves the pain points of traditional factory outside warehouse management data independence, interface dispersion, batch operation inefficiency, poor data consistency and cargo right transfer limitation, has been completely landed in actual industrial MES / ERP integrated system, with the advantages of stable architecture, efficient processing, strong maintainability, industrialization promotion value is outstanding, suitable for manufacturing enterprises factory outside warehouse large-scale, standardization, intelligent operation demand.The application has been completely landed in actual industrial ERP system, can be long-term stable operation in real production environment, with mature engineering value and industrialization promotion ability.

The application belongs to the field of agricultural information technology and big data processing technology, and relates to a dynamic pricing and tracing method and system for agricultural products by integrating crop growth mechanism and multi-dimensional space-time data. The method improves the authenticity and credibility of the tracing data by collecting multi-source heterogeneous data, combining the data organization architecture constructed by space-time index and data completion processing. The method generates a unique full-link tracing identifier as the index core to construct a digital archive of the full life cycle of agricultural products, establishes a cross-node and cross-system data correlation architecture, and realizes automatic and accurate correlation of full-link data and construction of complete evidence chain. The method extracts quality key features from the digital archive and predicts the quality status through an algorithm model, combines market, supply and demand, and credit data to construct a multi-factor pricing model, converts environmental data into quantifiable quality indicators and scientific dynamic guidance prices, solves the problems of lack of quality quantization and reasonable pricing mechanism in the prior art, and realizes digital rights protection of agricultural assets.

The application discloses a kind of Internet of Vehicles card information registration method, device, equipment, medium and product, by the link data of the collected Internet of Vehicles card registration is encrypted, obtains encrypted string;The encrypted string is split, obtains several groups of data;According to the several groups of data are filled into the position of different color blocks of magic cube model according to predefined rule;After the data in the magic cube model is disordered using preset disorder formula, upload to blockchain.This application scheme controls data in blockchain by magic cube model encryption technology, and can improve the security of Internet of Vehicles card registration information.

The application discloses a kind of based on intelligent matching and supply chain cooperation's whole-process procurement optimization method and system, it is related to supply chain management and information technology cross field.The method is first received multiple small agricultural product orders of purchaser, and based on the category of order, product control, address, time and preservation requirement, agricultural product procurement batch task and first section logistics instruction are generated to regional distribution center by intelligent matching algorithm, then execute instruction and collect first section logistics process data, and when agricultural product arrives distribution center, product control data is collected and bound, determine its distribution permission state, then end terminal set single and path optimization are carried out to the agricultural product of permission distribution, execute last section logistics instruction and collect process data, finally aggregate whole-link data for each order, generate unique digital quality record and provide to purchaser, whereby comprehensive procurement cost can be effectively reduced, loss is reduced, supply chain cooperation efficiency and trust degree are improved.

This invention discloses a method for bidirectional linkage between pipeline sensor data and a 3D GIS scene, comprising the following steps: constructing a 3D GIS engine kernel and an IoT sensing engine kernel, and formulating ID encoding rules for all pipeline network entities; utilizing the multi-protocol adaptation framework of the IoT sensing engine kernel; executing a forward data-scene linkage process; executing a reverse scene-device linkage process; and constructing a closed-loop management and control system for pipeline network operation status based on the full-link data interaction of forward and reverse linkages. This invention, through forward data-scene linkage and reverse scene-device linkage, enables the completion of the entire process of data viewing, equipment management, and emergency response within a 3D GIS scene without the need for cross-system switching; it employs a spatiotemporal dual threshold validity verification mechanism, simultaneously verifying data validity from the perspectives of temporal abrupt changes and spatial gradient rationality, effectively filtering out transient noise and abnormal data caused by sensor malfunctions.

We provide the system. [Solution] A means of receiving data for inputting ingredient information, A calculation means for saving the entered food information and calculating the expiration date, A recipe generation method that generates optimal cooking suggestions based on stored ingredient information, An information notification means that outputs optimal cooking suggestions and expiration date notifications to the user, A generative AI model that generates optimal cooking suggestions by taking into account user preferences and past consumption data, An online data connection method for linking data with e-commerce sites, A system that includes this.

The present application relates to the technical field of ecological green land monitoring, in particular to an ecological green land intelligent monitoring system based on multi-modal data, which comprises a multi-source monitoring alignment module, an ecological state baseline construction module, an ecological state discrimination module, a key area identification module and a monitoring strategy updating module. The present application realizes efficient cooperation of remote sensing, unmanned aerial vehicle and ground node data through multi-modal sensing means, constructs multi-dimensional ecological state representation and periodic change characteristics, combines spatial continuity discrimination and historical trend induction, forms multi-scale identification of ecological types and change levels between regions, supports intelligent screening and dynamic monitoring of the concerned area, links data acquisition, processing and task allocation processes, optimizes monitoring task configuration in real time, captures ecological change signals in time, improves the data fusion capability and spatio-temporal response level of ecological monitoring, and provides dynamic data support for fine management and maintenance.

A computer-implemented method is disclosed. The method includes: monitoring operations of a resource account, the resource account being associated with a first data record containing resources of a first type and a second data record containing resources of a second type; detecting a trigger based on monitoring the operations; in response to detecting the trigger: determining a first quantity of resources of the first type for converting to the second resource type based on defined resource transfer rules; converting the first quantity of the resources of the first type to a second quantity of resources of the second type; and causing a transfer of the second quantity of the resources of the second type to the second data record.

The application discloses a processing information analysis and abnormality processing method and system for customized furniture production, relates to the technical field of furniture manufacturing, and realizes complete traceability, improves abnormality identification precision and response efficiency, reduces production failure and quality risk, and is suitable for intelligent management and control of large-scale customized furniture production by collecting order information, generating a unique traceability identifier, collecting and standardizing processing of full-link data such as order splitting, raw materials, processing, assembly, detection, logistics and installation, and constructing a complete traceability link; based on an improved LSTM network and the introduction of an attention mechanism, an abnormality early warning model is established to realize online monitoring and abnormality discrimination of production data, hierarchical early warning and rapid disposal. The system comprises an order information collection module, a full-process data collection module, a data processing module, an abnormality early warning module, a traceability disposal module, a database and a terminal interaction module.

Methods and systems for generating, publishing, processing, and consuming linked data events and streams being shared by complex systems in order to construct a semantic web of the data and thereby form a consolidated coherent view of the data are provided. A method includes: receiving a set of metadata that relates to a set of events; generating, based on the metadata, an ordered node hierarchy map and a modern data event schema; receiving a set of tabular data; generating, based on the tabular data and the ordered node hierarchy map, the set of events; streaming the set of events over a streaming pipeline; processing the streamed set of events to generate a linked data media format; and outputting the linked data media format.

The present application relates to the field of cosmetic production quality management, and particularly relates to a cosmetic formula digital management and automatic execution method and system, comprising the following steps: constructing a formula full-element digital model, generating basic data after real-time compliance verification by a dynamic regulation database; collecting small test and pilot test data to construct a digital twin model, iteratively determining a process parameter package and binding a record to generate an encrypted execution package; automatically identifying differences, determining levels and completing compliance updates when the formula is changed; issuing desensitization files according to permissions in the production link, connecting intelligent devices to realize closed-loop execution and generate batch full-link data packages; and finally binding a traceability code, collecting adverse reactions and triggering continuous optimization of the closed loop by regulation changes. The present application constructs a cosmetic formula full-life cycle closed-loop management and control, realizes compliance preposition, production precision and traceability, greatly improves management efficiency and product quality, and adapts to industry regulatory requirements.

This disclosure relates to an airborne maintenance method and apparatus for electric vertical takeoff and landing (EVTOL) aircraft. The method includes: acquiring multi-source data from the EVTOL aircraft; the multi-source data includes: actual operational data and simulation test data; the actual operational data represents data from the actual flight process of the EVTOL aircraft, and the simulation test data represents data obtained from simulation tests using an engineering simulator; fusing the multi-source data of the EVTOL aircraft to generate fused data; and generating fault prediction, health status assessment, and maintenance recommendations based on the fused data. This disclosure utilizes a predictive maintenance mechanism that links data from the actual flight process of the EVTOL aircraft with data obtained from simulation tests using an engineering simulator, improving early fault warning and intelligent health management capabilities, and enhancing the maintenance capabilities and reliability of the EVTOL aircraft.

This invention belongs to the field of artificial intelligence and communication technology, and discloses a lifecycle management implementation method for large-scale photovoltaic energy management. It focuses on three new technological perspectives: intelligent perception of photovoltaic full-link data, collaborative optimization of power generation, grid, load, and storage, and intelligent fault diagnosis and self-healing. This covers the entire process of photovoltaic energy management, from data acquisition and perception, collaborative scheduling to fault diagnosis and maintenance. Through core algorithms such as spatiotemporal fusion and accuracy compensation of photovoltaic multi-source data, multi-objective collaborative optimization scheduling of power generation, grid, load, and storage, and fault feature extraction and self-healing decision-making for photovoltaic equipment, it overcomes the industry bottlenecks of traditional photovoltaic energy management, including "inaccurate data perception, lack of global optimization in collaborative scheduling, and passive and delayed fault handling." This achieves high-precision perception of photovoltaic data across all dimensions, global collaborative optimization of energy scheduling, and proactive diagnosis and self-healing of equipment faults, significantly improving photovoltaic energy consumption efficiency, power plant operational stability, and the level of full lifecycle maintenance management.

The application discloses a static linked list-based route cache management method and device, equipment and a vehicle, and belongs to the technical field of data storage. The method comprises the following steps: in response to a data cache request, a first data protocol link is acquired; it is judged whether data corresponding to the first data protocol link exists in a busy linked list; in the case that the data corresponding to the first data protocol link does not exist in the busy linked list, a new data protocol link data storage strategy is executed; and in the case that the data corresponding to the first data protocol link exists in the busy linked list, a data addition storage strategy is determined and executed according to queue information of the first data protocol link. When data is cached, only the busy linked list needs to be traversed according to the acquired first data protocol link, so that it can be determined whether the first data protocol link has data stored in a cache space, and the complete cache space does not need to be traversed, thereby saving the traversal time.

The application discloses a kind of forensic botanical evidence packaging transport traceability tracking management systems, the present application relates to traceability information management and judicial expertise field, including: evidence packaging information acquisition module, for collecting the unique identification code of botanical evidence, the unique identification code of seal, the identity information of packaging personnel, packaging time stamp, packaging location positioning information and packaging mode information in packaging site, and the information collected is bound with the unique identification code of evidence, to generate the first re-packaging confirmation record.The judicial expertise botanical evidence packaging transport traceability tracking management system, each link confirmation record is linked as an unalterable traceability chain in generation order by block chain storage, which eliminates the possibility of single-link data modification or bypass verification from the mechanism, and improves the data authenticity and responsibility traceability reliability of the whole process from extraction to reception of judicial expertise botanical evidence.