91 results about "Data architecture" patented technology

The invention discloses an intelligent file service system generation method based on a low-code development mode. The method comprises the following steps: constructing a file service core data model, defining file metadata fields, a storage structure and an association relationship, and forming a standardized data architecture. According to the method, the core data model, the visual page component library and the drag-and-drop workflow template are constructed, linkage binding of data-component-process is achieved in combination with a low-code engine, and the efficiency bottleneck of a traditional development mode is broken through; through a three-way real-time synchronization mechanism, real-time hot repair and dynamic branch judgment, page layout and flow rule adjustment can take effect immediately through visual configuration, and the problem of dynamic demand response lag is solved; through the intelligent resource scheduling logic compiled through environment adaptation, a differentiation scheme is generated for different deployment environments, the configuration difference influence under a private cloud and server mixed deployment scene is remarkably reduced, the deployment failure rate is greatly reduced, and the system online stability is improved.

The invention discloses a dynamic form generation and cross-database adaptation method based on metadata driving, and belongs to the technical field of data architectures. The method comprises the steps that an original metadata attribute graph is established; on the basis of the original metadata attribute graph and user roles and equipment parameters for calling the forms, generating an optimal equipment form interaction data graph corresponding to each user permission; verifying an interaction path between the forms and a cross-database demand of a target database type to carry out cross-database mapping adaptation analysis, and generating an optimal form data adaptation database of the corresponding equipment of each user permission; and performing rule compiling based on multi-source heterogeneous data input by a user in real time and execution logic in the original metadata attribute graph, marking an incremental propagation path in the optimal form interaction data graph of the corresponding equipment of each user permission, and updating the optimal form data adaptation database of the corresponding equipment of each user permission. The method has the advantages that the data interaction efficiency is improved, and the interaction round-trip times and redundant data transmission are reduced.

The invention provides an MES-based solar cell production and manufacturing execution method and system, and the method comprises the steps: collecting equipment states and technological parameters in real time, combining a bar code system to achieve the single-chip-level metadata association, constructing a standardized data architecture, building a multi-dimensional index, converting the expert experience into reasonable rules, and carrying out the calculation of the reasonable rules. The method comprises the following steps: simulating the influence of parameter combination on product performance, triggering an edge computing node to call a knowledge graph to perform parameter optimization and production simulation based on a dynamic threshold early warning mechanism, identifying process improvement opportunities through a batch tracing report and clustering analysis, forming knowledge base iteration update, predicting inventory risks in combination with a production plan and equipment load, and performing production management. According to the method, intelligent purchasing is automatically triggered, raw material distribution is optimized, technological parameter self-optimization, abnormity self-healing, quality traceability and supply chain collaboration are achieved through data driving, the production efficiency, the product consistency and the resource utilization rate are improved, and a whole-process digital solution is provided for photovoltaic manufacturing.

The invention is suitable for the technical field of engineering investigation, and provides an engineering investigation digital drilling machine based on the Internet of Things sensing technology and a big data service system.The digital drilling machine comprises a drill tower, a hydraulic standard penetration piece, a slurry pump, an integrated operation table, a double-clamping structure, a power head, monitoring equipment and other assemblies; linkage and data interaction of all the assemblies are achieved through a controller special for engineering machinery. The big data service system covers three aspects of a data architecture, a core algorithm and a security mechanism, the data architecture comprises an edge computing layer and a cloud analysis layer, the core algorithm comprises a drilling efficiency prediction model and equipment health degree evaluation, and the security mechanism comprises data encryption and access control. The big data service system provides intelligent decision support and service for engineering investigation, and the engineering investigation efficiency and quality are effectively improved.

Described herein is technology for providing the secure transfer of assets between blockchain networks. A secure-execution server can be configured to execute a bridge program in a secure execution environment to interact with a first pool of warden servers to facilitate secure transfer of assets between a first blockchain network and a second blockchain network. The bridge program may include instructions that, when executed by the secure execution environment, cause the secure-execution server to perform operations that may include performing lock operations that lock first assets from a contractless blockchain network and mint second assets representing the first assets in a contracting blockchain network, where the contracting blockchain network supports smart-contracts that are unsupported on the contractless blockchain network; and performing unlock operations that unlock the first assets by transferring the first assets in the first blockchain network in response to the second assets being returned or destroyed.

The invention discloses a data development management processing method and device and electronic equipment. The data development management processing method comprises the following steps: taking a dimension correlation model structure definition as a center of communication construction management; a project space is used as a basic unit of management, data architecture is flattened and labeled, and data component content is abstracted into resources and managed in a unified mode; access limitation setting is performed on resources in a project space, preprocessing and post-calculation are performed on data, and multiple forms of data services which are safe, compliant, credible and controllable are provided. According to the technical scheme, a low-threshold, low-cost and easy-to-expand capability is provided for data development management processing, meanwhile, an effective method for simply sharing data is provided, and the data construction efficiency, the data circulation efficiency and the data use efficiency are improved.

The invention relates to the technical field of vision measurement, and discloses a three-dimensional vision measurement system based on multi-view structured light, and the system comprises a data collection module which obtains image data, system data and point cloud data through a sensor and a system; the synchronous link module is used for generating a synchronous pulse interval based on the system data; calculating a cross correlation coefficient to judge interference and finish construction of a synchronous link; the three-dimensional measurement module is used for adjusting and calibrating by utilizing a composite structure, adjusting brightness through double modulation, constructing a target section data representation model for iterative optimization, analyzing to obtain an absolute phase value, constructing an energy function, obtaining a matching point pair based on image data and calculating a depth error; the data architecture module is used for dividing point cloud data, carrying out gridding discretization on an integral region, carrying out parallel calculation on energy values, summarizing the energy values, and dynamically adjusting the order of multi-pole expansion; and the enhanced anti-interference module is used for carrying out anti-interference processing on the image data, adjusting measurement parameters and adjusting the projection light intensity based on the predicted light intensity.

The application discloses a prediction method, system and storage medium for patient drug reactions. The method comprises: constructing a data architecture of a drug reaction prediction model according to pre-input source domain data, target domain data and drug attribute information; based on the data architecture of the drug reaction prediction model, performing training on the drug reaction prediction model according to a target training function to determine execution parameters of the drug reaction prediction model; and determining drug reaction prediction parameters according to the execution parameters, the source domain data and the target domain data to determine a prediction result of the patient drug reaction. The application places the representation alignment process of the patient sample and the cell line sample in the specific drug context fusion information through drug conditionalization alignment, thereby reducing the cross-domain distribution difference. In addition, the drug priority prediction result is generated in units of patients by using the drug reaction prediction parameters, the risk of model degradation into drug identity memory is reduced, and the generalization prediction ability for drugs is enhanced.

The invention relates to the technical field of data encryption, in particular to a transmission encryption method based on a Beidou communication data architecture, which comprises the following steps of: S1) adjusting related communication data and calibrating the related communication data as a data item to be filled or a data item to be missing based on the related communication data needing to be transmitted in the stage and an adaptive data transmission channel in the related data architecture; s2) performing priority processing on the to-be-missing data items, selecting part of data from the corresponding to-be-missing data items based on changed capacity data of the to-be-missing data items, calibrating the part of data as to-be-filled data, then determining to-be-transmitted missing items, performing related filling on the to-be-filled data items, and preferentially confirming filling capacity data corresponding to the to-be-filled data items; relevant data are selected from the to-be-filled data, and then to-be-transmitted filling items are determined; and S3) performing data transmission based on the determined data transmission channel of the corresponding data item, and determining an encryption key of the corresponding data item based on the transmission delay of each group of different data items in the transmission process.

The invention relates to a business system updating method and device, computer equipment, a computer readable storage medium and a computer program product, relates to the technical field of databases, and can improve the adaptation degree of a data architecture and a business current situation. The method comprises the following steps: acquiring a database table of a business system of an enterprise, determining a logic entity corresponding to the database table, and storing the logic entity into an enterprise architecture management system; determining a conceptual entity corresponding to the business object of the enterprise based on a pre-acquired business architecture of the enterprise; determining a first association relationship between the logic entity and the concept entity; based on the first association relationship and a second association relationship between the logic entities, determining a data architecture of the enterprise, and storing the data architecture into an enterprise architecture management system; and based on the data architecture, updating the database table in the business system to obtain an updated business system.

The invention discloses a power grid equipment fault analysis method and device, computer equipment and a storage medium, and relates to the technical field of power grid equipment fault diagnos.The power grid equipment fault analysis method and device integrate various complex and diverse data sources which are widely distributed in a power grid, construct a highly structured and logically clear data architecture based on a snowflake model, and analyze the fault of the power grid equipment. And data related to fault analysis can be quickly positioned from mass data in a short time. Meanwhile, data storage is carried out in the Hadoop distributed file system, the information dimension of fault analysis is greatly enriched by utilizing the powerful distributed storage, data redundancy and fault-tolerant mechanism of the Hadoop distributed file system, and a stable data basis is provided for power grid equipment fault analysis. And multiple complex factors of power grid equipment faults are comprehensively considered, a comprehensive and high-adaptability model system is constructed, various complex fault types can be accurately identified, fault diagnosis errors caused by single or inaccurate models are effectively avoided, and the fault prediction and diagnosis capability is improved especially under the complex conditions of severe weather and the like.

The application discloses a kind of production line unit modeling methods for digital twin monitoring, comprising the following steps: S1, establish production line scene data architecture;S2, establish warehouse production line system requirement diagram and monitoring application requirement diagram;S3, establish warehouse production line structure diagram, equipment structure diagram, value definition diagram, establish warehouse production line activity diagram, equipment activity diagram, equipment mathematical model;S4, establish the object node and variable of OPC UA information model;S5, establish equipment three-dimensional model in Solidwork, import three-dimensional simulation software VC in intermediate format STP;S6, define the operation flow of production line, the operation constraint relationship between each equipment;Define the independent and dependent relationship between each motion structure;S7, according to equipment mathematical model, establish corresponding data structure, determine the data source to collect data and update OPC UA information model.The application has good visualization and interactivity, and production line state feedback is timely, can effectively help manager to understand production line state, improve management efficiency.

The invention discloses a radiation source recognition reasoning question-answering system and method based on graph retrieval enhancement generation, and belongs to the technical field of artificial intelligence and signal processing. The system comprises a data processing module, a knowledge graph construction module, a retrieval and reasoning module, a graph retrieval enhancement generation module and an output module. The method comprises the following steps: preprocessing multivariate data through a three-layer data architecture to generate a structured triple; constructing a dynamic knowledge graph; top-to-bottom accurate retrieval and bottom-to-top context optimization are realized by adopting a U-retrieval strategy; generating a traceable recognition analysis and processing suggestion based on the retrieval sub-graph in combination with a large language model; and outputting a final result with reference and term interpretation. According to the method, the problems that knowledge updating is lagged and reasoning cannot be explained in a traditional radiation source identification system are solved, the identification accuracy, the real-time performance and the result interpretability are remarkably improved, and the method is suitable for radiation source intelligent identification and reasoning tasks in a complex electromagnetic environment.

A system and method for cross mapping an evidence data for risk management is provided. The method includes identifying a matching requirement for a first data element of the evidence data by matching the first data element to a requirement in a centralized requirement layer of a multi-layer data architecture; mapping the matching requirement to at least one control in more than one framework of a plurality of frameworks according to the multi-layer data architecture, wherein the centralized requirement layer of the multi-layer data architecture has a plurality of requirements that each represent a criterion and are shared across the plurality of frameworks; and determining, based on the mapping, a control state for the at least one control in more than one framework of the plurality of frameworks in response to the evidence data.

The invention discloses an enterprise-level architecture modeling and layer-by-layer decomposition method based on a unified meta-model, which comprises the following steps: constructing the unified meta-model covering business architecture, data architecture, application architecture, technical architecture and security architecture domains, including defining core element types and cross-domain association relationship types of each architecture domain; according to the unified meta-model, enterprise-level overall architecture modeling is carried out, and an enterprise-level architecture asset library including multi-architecture-domain standard assets and dependency relationships thereof is generated; and step-by-step architecture decomposition design is carried out on a project to be implemented based on the unified meta-model and the enterprise-level architecture asset library, and a project-level architecture blueprint aligned with the overall architecture, a refined project demand specification and a landing technology design scheme are sequentially output. Through a unified meta-model and a layer-by-layer decomposition tracing mechanism, the problem of disjunction of semantic segmentation and strategic execution in cross-domain architecture modeling is solved, and collaboration, alignment and controllability of cross-domain architecture design are achieved.

The invention belongs to the technical field of new energy power generation prediction and monitoring, and provides an integrated management method for distributed power prediction systems, which comprises the following steps: acquiring operation monitoring data of each distributed power prediction system; performing data architecture analysis on each distributed power prediction system, and establishing a three-level data model taking station-equipment-parameter as a data architecture; performing cross-system data association and aggregation operation on the operation monitoring data of each distributed power prediction system according to the three-level data model to obtain global integration parameters; and according to the operation monitoring data, the three-level data model and the global integration parameters, establishing a multi-class data statistical graph, and visually displaying the multi-class data statistical graph in the same interface. According to the scheme provided by the invention, the global collaboration, response timeliness and accuracy of the management link of the distributed power prediction system are improved.

The invention relates to the field of natural language processing and information visual analysis, and discloses a data architecture and visual analysis method based on a multi-level medical text.The method comprises the steps that a medical document is subjected to paragraph division, and a multi-level text data set containing the medical document, paragraphs, an entity set and entities is constructed; a model based on comparative learning framework supervision training is adopted, a multi-level text is generated into a high-quality text vector, the high-quality text vector is stored in a vector database, and efficient semantic retrieval and topic clustering are achieved; on the basis of a clustering result, the multi-level medical text is constructed into a graph structure, and multi-hop query and correlation analysis are achieved; a multi-force-oriented star map layout and constellation focusing visualization method is combined, and progressive visual analysis and interactive exploration of the medical text in the aspects of a macroscopic theme structure and microscopic content are achieved. According to the method, the accuracy of multilayer medical text structure semantics and the scale of analyzable data are effectively improved, so that a user can deeply analyze a complex large-scale multilayer medical text.

The intelligent safety early warning system comprises a technical architecture unit, a network unit, a data unit, a data architecture unit, a platform unit, an application unit, a display unit, a general video access unit and a sensor access unit, the technical architecture unit adopts a micro-service architecture; the network unit optimizes the network performance and security through a network monitoring tool and regular security evaluation, and also can optimize the security and efficiency of data transmission; the data unit can store original data from various sources, and also supports standardized and thematic storage of the data. According to the invention, an equipment protocol barrier is broken, plug and play access of industrial equipment, sensors and video monitoring is supported, meanwhile, a space-time aligned data lake is constructed, and heterogeneous data such as 1kHz vibration data and 30fps video streams are processed in a unified manner, so that real-time data transmission and timely mutual linkage are realized, the response time is shortened, the response efficiency is improved, and the real-time performance of the system is improved. And the accuracy of safety early warning is improved.

The invention belongs to the technical field of equipment digital modeling, and particularly relates to an equipment digital main line construction method based on a product decomposition structure. The method comprises the steps that an aircraft forward research and development global data architecture based on an aircraft product decomposition structure is constructed, the aircraft product decomposition structure is decomposed into a multi-layer structure according to aircraft products, and each layer comprises a demand transmission data chain, a product research and development data chain and a demand verification data chain; aiming at a demand transfer process, determining a demand transfer relationship of each level, and running through a demand transfer data link of each level from top to bottom; for a product research and development process, determining an interaction relationship among a task domain, a scheme domain, a product domain, a manufacturing domain and a guarantee domain of each level, and establishing a product research and development data chain penetrating through the whole process; and for the demand verification process, establishing a demand verification data link communicating the demand verification method, the demand verification task, the demand verification scene and the demand verification result. According to the method, global association analysis of aircraft research and development full-process model data can be realized.

The application discloses an extensible data architecture of a power system and a dynamic optimization method and system thereof. The method comprises the following steps: S110, collecting basic data of the power system; S120, constructing the extensible data architecture according to the basic data; S130, setting a dynamic optimization target and a constraint condition of the extensible data architecture; and S140, establishing a dynamic optimization model according to the dynamic optimization target and the constraint condition. The application establishes the extensible data architecture and the dynamic optimization model, thereby providing guarantee for stable operation of the power system.

The invention relates to a collaborative development method and device based on a low-code development platform and a design platform, equipment, a storage medium and a program product, and relates to the technical field of computers. By adopting the method, the information transmission error can be reduced, and the information transmission efficiency can be improved. The method comprises the steps of receiving a queue message sent by a development end in response to a message receiving instruction of a user, and obtaining a data packet in a shared directory list according to the queue message; the data packet is generated by the development end according to the development result metadata, and the development result metadata is acquired by the development end in a low-code development platform; in response to an analysis instruction sent by the message center, sequentially analyzing the data packet by the application service module and the data architecture module to obtain application service metadata and data architecture metadata; and obtaining target metadata for designing the platform according to the application service metadata and the data architecture metadata.

The application discloses a distribution network diagram module integrated data platform based on regulation and control cloud, comprising an integrated data structure of fused node power equipment attribute data and power connection line diagram data, and construction and application of the data structure. The data structure is based on a distribution network regulation and control cloud data system, and takes standardized and normalized power dispatch general data objects, metadata and data dictionary sets in the regulation and control cloud data system as underlying data objects. The structured data of power equipment and the graphic topology data associated with the spatial distribution of power lines in the regulation and control cloud data system are reconstructed and fused in data path and data content, thereby laying a foundation for improvement and reconstruction of the regulation and control cloud data system in the aspect of data architecture for machine learning.

The invention relates to the technical field of digital architectures, in particular to a management and control method for a power grid digital architecture. The method comprises the following steps: acquiring application architecture current situation data and data architecture current situation data; performing application group planning design based on the current situation data of the application architecture to obtain blueprint data of the application architecture; performing data class, data sub-domain and conceptual entity structured design based on the data architecture current situation data to obtain data architecture blueprint data; acquiring technical architecture current situation data and security architecture current situation data; and constructing a technical component mapping relation based on the technical architecture current situation data, the application architecture blueprint data and the data architecture blueprint data to obtain technical architecture blueprint data. Through matching of architecture design and business requirements and optimization of technology and safety, accurate and efficient management can be realized in digital architecture construction, flexible response of business reform is ensured, and intelligent management and control and sustainable innovation are promoted through continuous optimization.

The application provides a data trusted computing framework based on a consortium blockchain, entities include a data demander, a data provider, a consensus node and a certificate authority; a structure is divided into a data registration layer, a data trusted layer, a data consensus layer, a data processing layer and a data delivery layer. The data registration layer adopts a data architecture paradigm based on the consortium blockchain, divides data into identification, characteristic data and data entities to standardize a data registration process, provides a unified access mode for heterogeneous, heterogeneous and heterogeneous data resources and integrates data resources; the data trusted layer uses a data trusted computing mechanism, so that the data provider provides a data resource analysis and processing result for the data demander without contacting original data; the data consensus layer includes a data trusted traceability mechanism, guarantees safety and integrity of data flow; the application can change a traditional data hosting / exchange as a service mode into a data processing as a service mode and realizes data "available but invisible".

The invention discloses a data architecture generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining micro-service data and class model data of a target project, generating a physical model of a data architecture based on the micro-service data and the class model data, and generating a data architecture file in a target format based on the physical model. According to the method, upstream design results such as micro-service data and class model data of a target project can be imported, and a conversion request can be generated through one-key operation of a client, so that a physical model of a data architecture is generated based on the micro-service data and the class model data, and a user does not need to design the data architecture from a design document; on the one hand, the problem of low accuracy caused by inconsistent understanding of design documents by different users is avoided, the efficiency and accuracy of data architecture design are improved, on the other hand, the user can select the output format of the data architecture file and can use and browse the data architecture file without installing a professional tool, and the user experience is improved. And development and communication of data architecture design are facilitated.

Systems, methods, and computer-readable media are provided for providing access, via a read-optimized database service, to functionally oriented pre-built metadata based logical objects. Each logical object provides access to a set of resources defined by a logical schema relevant to a functional area. Each logical schema is determined based at least in part on a read-optimized, synchronized version of one or more underlying related database structures stored to a read-optimized database accessible via the logical schema using the read-optimized database service, with the logical schema being different than the database schema of the underlying database structures. Requests to the read-optimized database service from a consumer of a particular functional area are evaluated against a particular set of logical resources associated with the functional area and translated to map to relevant underlying database structures, thus eliminating the requirement for consumer to understand underlying complex database structures as well as to shield consumers from underlying database structure changes in the future. Further some of the key text data in reference logical objects can be vectorized for usage in LLM-RAG use cases for assisting in semantic / similarity search of user queries. An attribute defaulting configuration interface and process is also described.

The application discloses a kind of based on data architecture platform's gas data analysis method, system and terminal, the method includes: obtaining the data to be handled of gas platform, the data to be handled is preprocessed, and target data to be handled is obtained;According to the data architecture platform, the target data to be handled is analyzed according to function demand, and first analysis result is obtained, the target data to be handled is analyzed, and second analysis result is obtained, and the target data to be handled is analyzed, and third analysis result is obtained;According to the first analysis result, the second analysis result and the third analysis result, target analysis result is obtained, and the target analysis result is shown.The application can unify data standard, to facilitate integration and sharing of data, improve the efficiency of data call and data analysis, also improve the security of gas use.

The application relates to the technical field of big data evaluation, and discloses a method and system for evaluating a standard based on deep learning data architecture analysis, which comprises the following steps: obtaining a large model for identification by training based on deep learning technology, identifying and analyzing a big data system architecture by using the large model for identification, and obtaining architecture change data of the big data system architecture; evaluating the architecture change data of the big data system architecture based on a machine learning model, and obtaining an evaluation result; obtaining monitoring indexes of the big data system architecture, dynamically analyzing the monitoring indexes, and obtaining a dynamic analysis result; and evaluating the big data system architecture based on the evaluation result and the dynamic analysis result. The application can realize an automatic monitoring process, can further capture and analyze architecture changes of a big data system in real time, significantly improves monitoring efficiency, reduces the time and resources required for manual monitoring, and provides timely feedback for decision makers by evaluating whether the changes conform to standards.

This invention relates to the interdisciplinary technical field of government data governance, natural language processing, and database retrieval. It provides a method and device for constructing a multi-constraint fusion six-tuple dataset for government Text2SQL, aiming to build a multi-constraint fusion dataset GovSQL for government scenarios. It forms a tuple data architecture through a four-stage human-machine collaborative annotation strategy, while introducing an explicit mapping mechanism between policy text and business rules, as well as a constraint annotation process that combines large models and manual annotation, thus solving the semantic distortion problem that is common in the construction of Text2SQL datasets.

The invention relates to a method for supporting automatic batch upgrading of off-line test data of rail transit, electronic equipment and a storage medium. The method comprises the following steps: configuring an off-line route map data architecture; configuring the to-be-upgraded input data in combination with the path of the input data; configuring the batch newly added, deleted and replaced files; generating a uniform structure template from the files in different formats, and placing the uniform structure template in a path where uniform structure configuration is located for configuration; and upgrading the selected input data in batches to realize automatic batch upgrading of the rail transit off-line test data. Compared with the prior art, the method has the advantages of improving test efficiency, being high in adaptability and flexibility, improving test data upgrading accuracy and the like.