333 results about "Data integration" patented technology

The application discloses a kind of based on environmental footprint's pollution reduction and carbon reduction optimization method and system, specifically related to environmental management technical field.It includes: constructing based on associated parameter coupling's whole life cycle data integration model, and the whole life cycle data list covering target subject area or department and its upstream or downstream area or department is calculated;Coupling multi-dimensional cross-media influence characteristic factor, and the environmental footprint data oriented to whole life cycle is calculated;Build the whole life cycle data list dynamization model under the penetration of multiple pollution reduction and carbon reduction technologies, and the comprehensive environmental benefit oriented to whole life cycle of pollution reduction and carbon reduction is calculated;Build the pollution reduction and carbon reduction optimization model based on environmental footprint, and the pollution reduction and carbon reduction collaborative path of optimal comprehensive environmental benefit is calculated.

This application relates to a SPECT imaging system, imaging method, and SPECT imaging device. The SPECT imaging system includes multiple imaging modules and a data integration module. Each imaging module scans and images a local area of ​​the object under test, obtaining local imaging data. The data integration module is communicatively connected to the multiple imaging modules and integrates the multiple local imaging data to obtain a complete image. Each imaging module in this application can scan and image a local area of ​​the object under test, thereby obtaining corresponding local imaging data. Simultaneously, the data integration module integrates the multiple local imaging data to obtain a complete image. Since each imaging module includes a motion control unit and a probe, their scanning processes are relatively independent. When multiple areas need to be scanned, multiple imaging modules can perform scanning simultaneously, thus enabling parallel scanning of the object under test and improving scanning efficiency.

This invention discloses a heterogeneous data integration and processing method and system, relating to the field of data processing and data integration technology. The method includes the following steps: collecting continuous operation records corresponding to the heterogeneous data processed by each node during operation; organizing the continuous operation records according to a unified chronological order; and writing node status markers into the organized continuous operation records to form a continuous operation sequence. This invention identifies parallel segments formed during network outages by constructing a continuous operation sequence and backtracks and organizes duplicate segments to generate a unique trajectory sequence, thereby eliminating the superposition of duplicate records and ensuring that the data statistics reflect the actual data progression relationship. Simultaneously, by extracting the actual growth segments in business volume changes as the basis for capacity expansion triggering, the resource allocation rhythm is adjusted to ensure that resource scheduling behavior is consistent with business growth, thus maintaining the stable progress of the overall operation process.

This invention relates to an enterprise-level full-stack low-code development platform based on a model-driven and plug-in architecture, belonging to the field of computer technology. It addresses the problems of poor scalability, performance bottlenecks, high security risks, and inflexible deployment inherent in existing platforms. The invention includes: a visual development tool providing a form designer and workflow engine, supporting drag-and-drop development and real-time preview; a plug-in extension module, implemented based on the PF4J framework, supporting dynamic loading, unloading, and isolation of plug-ins; a data integration and management module providing an API gateway, multi-source data integration, and data model management; and an application deployment and maintenance module for one-click automated deployment and log auditing. This invention achieves dynamic functional expansion through a plug-in architecture, optimizes performance in high-concurrency scenarios through a workflow engine, enhances security, and provides more flexible deployment, improving the development and maintenance efficiency of enterprise-level applications. It is suitable for application scenarios such as government approvals.

The application discloses a multimodal intelligent interaction method based on a large language model, and the interaction method comprises the following steps: receiving multimodal input of a user; analyzing the user's intention, decomposing a complex task into multiple subtasks, and coordinating the execution of various professional tools; processing multiple types of input data; integrating various financial professional analysis tools and services; managing and maintaining the knowledge base of the system, dynamically updating and real-time searching knowledge; and providing the infrastructure required for system operation. Through automatic task decomposition and tool calling, the manual maintenance workload is reduced.

This invention discloses a lightweight traceability method for constructing a data chain across the entire lifecycle of prefabricated components, relating to the field of data processing technology. The specific steps of this method are: encoding association, chain construction, cloud storage, request triggering, and hierarchical retrieval. This invention generates a unique digital identity code for each prefabricated component that spans its entire lifecycle, and associates this digital identity code with BIM model elements to generate associated data. Based on this associated data, a data chain is constructed according to the lifecycle time sequence and event nodes of the prefabricated component. Heterogeneous data from each event node are systematically linked to their corresponding event nodes, and the correlation degree between adjacent nodes is calculated to form a complete data chain. This allows the lifecycle data of prefabricated components to form an orderly and continuous association system around a unified code, achieving integrated data integration and node-based management at each stage, enabling full-process traceability of component data throughout its lifecycle.

The application discloses a kind of breeding environment multidimensional data integration processing and early warning system.The system includes: the main control computing unit deployed in factory local, multiple sensor anchor point clusters distributed in breeding pool interior and data aggregation gateway;Each sensor anchor point cluster contains basic physicochemical probe component, environmental flow field component and biological observation component;The main control computing unit calculates physical transfer time delay according to three-dimensional flow velocity vector and aligns time series data using dynamic time warping algorithm, and the adjacency matrix between the nodes of internal model is dynamically calculated according to three-dimensional flow velocity vector to output environmental anomaly probability score;When the fluctuation rate of physicochemical parameter or environmental anomaly probability score meets the condition, data aggregation gateway sends hardware interrupt instruction to dormant biological observation component.This application can accurately compensate material propagation data time delay, accurately identify abnormalities, and reduce energy consumption using cross-modal wake-up mechanism, to ensure system space-time causal closed loop and bandwidth communication efficiency.

The application relates to the technical field of robot posture control, and discloses a robot posture intelligent control method and system based on a self-organizing network communication architecture, which comprises the following steps: acquiring multi-dimensional environment initial data and robot current motion state data; performing multi-source data integration and key feature extraction operations according to the multi-dimensional environment initial data to obtain a fused environment feature set; performing risk identification and posture adjustment strategy generation operations according to the robot current motion state data and the fused environment feature set to obtain a preliminary posture adjustment strategy signal; and performing parameter optimization and secondary calibration operations on the preliminary posture adjustment strategy signal to obtain a final precise posture control instruction. The method can realize precise posture control of a robot in a complex dynamic environment and improve work safety and efficiency.

The present application relates to the technical field of data processing, in particular to a multi-source data integration management method and system for pollution source monitoring, which comprises the following steps: determining an abnormal mutation point in the electrical data sequence of a desulfurization wastewater purification device in a historical time period; obtaining the power supply abnormality significance feature of the desulfurization wastewater purification device according to the difference between the electrical data before and after the abnormal mutation point; determining the pollutant concentration growth trend after the starting point of the rising trend of the pollutant concentration in the current time period; adjusting the smoothing coefficient in the cubic exponential smoothing algorithm according to the power supply abnormality significance feature, the pollutant concentration growth trend and the change correlation degree of the electrical data and the pollutant concentration, so as to improve the accuracy of the smoothing coefficient; and predicting the pollutant concentration by using the cubic exponential smoothing algorithm according to the smoothing coefficient, so as to improve the accuracy of the pollutant concentration prediction and realize reliable and accurate management of industrial desulfurization wastewater.

The application discloses an enterprise data integration method and device based on unified data access and adaptation, equipment and medium, relates to the field of computer, and comprises the following steps: obtaining a target configuration form for pushing or pulling data sent by a user end at a preset interface, parsing the target configuration form through a preset interface to obtain a target data access mode, a target data receiving type and target configuration content required by the user end; according to the target data access mode and the target data receiving type obtained through parsing, matching a corresponding target adapter by using an adapter scheduling engine, establishing a connection with the user end, and obtaining corresponding initial data based on the target configuration content through the target adapter; performing data processing and format conversion operations on the initial data to generate processed data meeting preset data integration conditions, and integrating the processed data into a preset database of an enterprise data integration system. The two heterogeneous access modes of pushing and pulling are unified, abstracted, centrally configured and intelligently adapted.

This invention discloses a food blockchain traceability code generation system supporting multi-terminal verification, comprising the following steps: a traceability code generation module, used to generate a unique traceability code with a unified encoding format based on food product information, production batch information, and blockchain storage address, using preset encoding rules; the traceability code embeds a multi-terminal verification identifier field; and a blockchain storage module, connected to the traceability code generation module, used to upload the traceability code generation record, food full-chain traceability data, and their hash values ​​to the blockchain network. This food blockchain traceability code generation system supporting multi-terminal verification solves problems such as inconsistent multi-terminal verification standards, difficulty in data sharing, single traceability code function, inability to distinguish verification scenarios, the possibility of anti-counterfeiting codes being copied, insufficient verification security, difficulty in cross-system data integration, and fragmentation of traceability information due to batch splitting. It achieves closed-loop management of regulatory data and provides data-driven regulatory decision support.

An information handling system operating an integration connectivity sales facilitation system may comprise a display device displaying a request from a purchasing user to facilitate purchase of a product for sale by the selling user, a processor to automatically generate code instructions of a future data integration process for transferring a first dataset field value identified by a first dataset field name at a purchasing user to a second dataset field value identified by a second dataset field name at the selling user, based on a merged data lineage map for previously generated code instructions for transferring such first and second dataset field values to a common trading partner storage location identified by a common trading partner dataset field name, and a network interface device transmitting the code instructions for future execution and a runtime engine for execution at a remote location in deployment of the future data integration process.

The application belongs to the technical field of digital information communication, and discloses an Internet of Things equipment unified communication and data integration platform for a smart ward; comprising: a data acquisition module, which acquires medical equipment analog operation data, performs data cleaning, and obtains a multi-source medical equipment data set; a delay compensation module, which performs data delay estimation and delay compensation on the multi-source medical equipment data set; an association correction module, which constructs an association event chain for a time sequence correction data set; an abnormality filtering module, which performs transmission signal abnormality filtering and outputs a fluctuation elimination data set; an inhibition adjustment module, which acquires ward broadcast information, performs inhibition correction on the ward broadcast information, and obtains inhibition correction broadcast information; and a unified transmission module, which integrates the fluctuation elimination data set and the inhibition correction broadcast information into a transmission data stream, and uses the transmission data stream for equipment communication; the accuracy and reliability of the smart ward Internet of Things equipment communication are improved.

This invention relates to the field of fire protection data integration technology, and discloses a fire protection data integration method and system based on distributed heterogeneous protocol adaptation. This method achieves the acquisition and standardized conversion of multi-source fire protection data through a dual-library collaborative mechanism of a protocol template library and a plugin library. Enhanced fire event feature data is obtained by using sensor spatial topology modeling and multi-scale temporal feature collaborative extraction. This enhanced feature data is then subjected to temporal and spatial dual-path feature extraction and fusion analysis through a multi-scale temporal convolutional network and a spatiotemporal graph attention network. Combined with physical law verification and confidence assessment, intelligent judgment results of fire events are obtained. Hierarchical linkage control and multi-platform message push are executed through an event-driven rule-based process engine. This invention can solve the problems of difficulty in integrating heterogeneous fire protection equipment data, high false alarm rate of traditional fixed threshold methods, and insufficient early warning capabilities.

This invention belongs to the field of intelligent manufacturing technology and discloses a method and system for process data integration and quality traceability management in intelligent manufacturing production lines for badminton rackets. It unifies data standards and interaction rules by constructing a five-in-one semantic ontology model encompassing products, processes, etc.; it builds an adaptive multimodal acquisition system, integrating three types of data sources: standardized equipment, non-standard processes, and offline testing, and completing edge preprocessing; it achieves chain-based data storage through a consortium blockchain hybrid storage mode, ensuring data immutability and shareability, and achieving efficient storage of all data; it assigns a unique, lifelong identity to each racket, and combined with a full-process digital twin mirror, it visualizes the entire process data from raw materials to the final product and simulates the production process; the consortium blockchain storage ensures the authenticity and immutability of traceability data, and when defects occur in the finished product, it can accurately locate the core influencing processes, parameter deviations, and other root causes through deep correlation graphs.

This invention provides a simulation and pre-drilling method and system based on smart water conservancy. Through multi-source data integration and preprocessing, it fuses hydrological, geographical, and population data to output a standardized fusion dataset. Digital twin scenario construction, combined with the MARL algorithm, achieves bidirectional coupling between flood evolution and resident behavior. Dynamic simulation and pre-drilling drive bidirectional coupled simulation to predict flood inundation and disaster chain transmission. Strategy generation and optimization employ an improved NSGA-III algorithm to achieve multi-objective evacuation path optimization and generate resettlement plans. Specifically, it breaks through the limitations of traditional unidirectional simulation, achieving multi-objective dynamic optimization and improving the intelligence, precision, and fairness of flood disaster response. It can be widely applied to flood disaster prevention and control in various river basins and cities.

This invention discloses a timing device that integrates multiple emergency operation buttons and generates structured medical records in real time, belonging to the field of emergency medical technology. It includes an intelligent terminal recording module, a data integration and communication module, and an intelligent processing and output module. These three modules work together to achieve real-time recording of emergency operations, integrated data transmission, and automatic generation of structured medical records. The intelligent terminal recording module is a dedicated emergency recording terminal equipped with a timing chip and a multi-touch screen. The touch screen interface is dynamically designed according to the ACLS / BLS resuscitation process and features one-button recording for various emergency operations such as chest compressions, bag ventilation, defibrillation, heart rhythm analysis, and adrenaline administration. The timing chip provides millisecond-level timestamps for emergency operation records, enabling precise binding of operation content to the time of occurrence. This significantly reduces the need for clinical manpower, eliminating the need for a dedicated recording nurse through an "operation-as-record" model, and also eliminating the need for manual re-entry of medical documents after resuscitation.

This invention relates to the field of AI intelligent design technology, specifically to a packaging system platform based on AI intelligent design and its usage method, including an AI intelligent design unit, an ASIC computing acceleration unit, a seamless data integration unit, an intelligent manufacturing control unit, and a smart logistics warehousing unit. This invention achieves intelligent analysis of packaging design requirements, automatic generation and optimization of compliant and implementable digital design solutions through multimodal large-scale models, a packaging industry-specific database, and ASIC computing power support. Furthermore, it provides low-power, low-latency hardware-level dedicated acceleration support for AI design model computation and visual inspection algorithms through lightweight acceleration technologies such as a customized heterogeneous computing architecture for the packaging field, dedicated instruction set scheduling, mixed-precision quantization, and operator fusion. The synergistic effect of these two technologies significantly improves packaging design efficiency, compliance, and feasibility.

This invention provides a data transfer method and system for power equipment detection. The method includes the following steps: converting the acquired infrared images of the power equipment into a pre-set standard format and setting the standard format data to an initial state; setting the data in preprocessing and anomaly detection to a processing state; labeling the infrared images according to the judgment results of the anomaly detection model and setting the labeled data to a labeled state; sending the labeled data to a terminal for manual analysis and confirmation, and setting the manually confirmed data to an analyzed state; counting the number of analyzed data, and when a threshold is reached, training the anomaly detection model and setting the trained data to a trained state; testing the trained anomaly detection model, and setting the trained data to an archived state after the test is passed; and monitoring the data in each state in real time. This solution can improve the data integration success rate and enhance the model optimization efficiency.

The application discloses a kind of rail transit line fusion scheme optimization decision system and method, to solve the problem of strong subjectivity in line fusion decision in prior art, lack of multidimensional quantitative trade-off.The system includes data integration module, multidimensional analysis module, fusion decision module, scheme evaluation and deduction module;The application quantifies the key elements of passenger flow, capacity, engineering, cost and other multidimensional into a unified analysis framework by integrating passenger flow prediction, engineering simulation, multi-objective optimization algorithm, introduces Cross-line Efficiency Index (CEI) as the core decision index, determines the index weight by combining AHP-entropy weight method, realizes the quantitative comparison and selection and dynamic optimization of the two types of fusion schemes of cross-line operation and transfer connection.The application can convert traditional experience decision into scientific quantitative decision, shorten the scheme comparison period, improve the decision adaptability and risk controllability, and provide reliable technical support for line fusion scheme decision in urban rail transit network planning stage.

The technical scheme of the present application discloses a kidney transplantation single disease follow-up database system based on a hospital intranet environment, comprising a data integration layer, an intelligent analysis layer and a doctor-patient linkage layer. Through the cooperative operation of the three-layer technical architecture designed by the present application, the three core problems of the prior art are comprehensively solved, and the following technical effects are achieved: at the data integration level, automatic and real-time integration of multi-port medical data of kidney transplantation patients is realized, the data integration efficiency is improved by 90%, the accuracy rate reaches 99.5%, and the traceability and privacy security are significantly improved; at the data analysis level, the AI-driven analysis model realizes automatic generation of patient whole-cycle health reports, large-sample group feature mining and real-time abnormality early warning, and the doctor data analysis workload is reduced by 80%, and the abnormal data response time is shortened to the minute level.

The application relates to the technical field of artificial intelligence and bioinformatics, in particular to a multi-source spatial multi-omics data integration method based on hierarchical graph contrast learning, which comprises the following steps: preprocessing acquired multi-source spatial multi-omics data, and constructing a spatial adjacency graph based on spatial distance; using a graph attention autoencoder to encode modality-specific features of the preprocessed multi-omics data based on the spatial adjacency graph, so as to obtain latent feature representation and negative representation of each spatial node; integrating the encoded latent feature representation and negative representation through hierarchical graph contrast learning; decoding and reconstructing the integrated features based on a neural network, and outputting reconstructed features for downstream tasks to minimize reconstruction error. The method can improve the full-scene data integration capability and improve the multi-omics data fusion precision.

The application belongs to the technical field of informatization and industrial data integration of nuclear power plants, and provides a maintenance procedure and information automatic association method and system based on equipment coding, the method comprising a receiving request step, a concurrent query step, a data aggregation step and an active push step, and the system comprising an equipment coding unified service module, a data interface adapter group module, an information aggregation and association engine and an active information service module, the application taking equipment coding as core master data, automatically aggregating maintenance related multi-source heterogeneous information through a service architecture and intelligent association technology, and actively pushing in a business context to form a method and system of an equipment holographic view.

The application relates to the field of material data processing and discloses a cross-source material data semantic alignment method and device, a complete technical path from multi-source material data collection, semantic feature extraction, semantic embedding representation, object entity alignment, attribute alignment to relationship organization is constructed, the method and device can face multi-source heterogeneous material data such as literature, experiments, calculation and industrial production, fully combine semantic representation learning and intelligent analysis capability, realize unified semantic modeling and alignment at the attribute layer and the relationship layer, further eliminate the semantic gap between cross-source data, realize unified semantic modeling and standardized expression of cross-source material data, and improve material data integration, organization, retrieval and reuse capability.

This invention discloses a method and apparatus for automatically checking financial operation reports. The method includes: collecting raw financial operation-related data from multiple data sources through a data integration interface; applying a deep learning-based financial semantic understanding model to perform entity recognition and relation extraction on unstructured text data in the raw data, outputting structured financial knowledge triples; calculating various financial indicators based on the structured data and financial knowledge triples, and constructing a financial indicator knowledge graph; applying multiple anomaly detection mechanisms to the financial indicators in parallel; weighting and fusing the initial anomaly scores from each detection mechanism, and outputting a final anomaly determination result based on the fusion result; and automatically generating a financial operation report containing data charts and textual interpretations based on the financial indicators and the final anomaly determination result using natural language generation technology.

A data privacy protection classification grading method and system based on integrated decision learning, the user side equipment data category attribute parameters required for training the decision tree model are sent to the cloud server for data integration in a scrambled manner through symmetric encryption; the cloud server integrates all the category attributes uploaded by the user side equipment without decryption, and then sends the integrated ciphertext to each user side equipment, and the user side equipment completes the training of the decision tree model of the integrated decision learning by using the decrypted data; the trained decision tree model is used for classification and grading identification of the local data of the user side equipment. The application can realize automatic classification and grading identification of data in the cloud service scenario under encryption protection.

The system according to this embodiment aims to achieve crime prevention while protecting privacy. [Solution] The system according to the embodiment comprises an avatar display unit, a behavior analysis unit, a data integration unit, and an information disclosure unit. The avatar display unit represents a person as an avatar. The behavior analysis unit analyzes the behavior of the avatar displayed by the avatar display unit. The data integration unit integrates the data analyzed by the behavior analysis unit with statistical data. The information disclosure unit discloses information based on the data integrated by the data integration unit.

A device of integrating production line data as auxiliary data for abnormality analysis and a method thereof are disclosed. A repair / repairable system obtains defect repair information generated by an inspection station sited behind an automated optical inspection device and determining that a target material is abnormal, material data of the target material is read based on defect location information from an optical test data sheet generated by integrating an optical inspection data generated by the AOI device and a control management data generated by control management systems on a production line. A component location image is extracted from a material image of the target material based on the defect location information of the defect repair information, and the material data. The defect repair information and the component location image are integrated to generate integration information of the target material.