357 results about "Data application" patented technology

The embodiment of the invention provides a memory management method, electronic equipment, a memory management device and a storage medium, and relates to the technical field of computers, the method comprises the following steps: obtaining a memory allocation request initiated by an application program; the migration type of target data aimed at the memory allocation request is determined as a target migration type, and the migration type comprises a migratable type and a non-migratable type; determining whether a free space capable of accommodating target data exists in the page block of which the migration type is the target migration type or not, wherein the migration type of the page block is the migration type of data capable of being stored in the page block; if yes, storing the target data into the page block; if the page blocks do not exist, searching the page blocks of which the migration types are idle types, storing the target data in the searched page blocks, updating the migration types of the page blocks storing the target data to the target migration types, and not storing the data in the page blocks of the idle types. By applying the scheme provided by the embodiment of the invention, the problem of memory fragmentation can be solved.

The invention belongs to the technical field of nuclear power data processing, and particularly relates to a multi-level data cleaning method for the nuclear power industry. Comprising a first hierarchy data importing and preprocessing layer, and the first hierarchy is a basic unit for nuclear power multi-hierarchy data cleaning; the second level carries out local processing layer data processing, and the data subjected to secondary cleaning is recompressed, feature codes are extracted, and then the data are transmitted to the third level; or directly forwarding the unprocessed original compressed data; the third hierarchy carries out data processing of the platform layer in the data; and the fourth level performs data processing of the data application layer, and is responsible for performing persistent storage on the data according to a standardized format after the data is subjected to full-process cleaning, compression, feature extraction and desensitization processing. The method has the beneficial effects that the method is specially customized for the nuclear power industry: special requirements of high confidentiality, network isolation, large data volume and the like of data in the nuclear power industry are fully considered, and a special cleaning and desensitization process is designed.

Methods, apparatuses, system, devices, and computer program products for AI-driven data aggregation and analysis for entity scoring and assessment are disclosed. In a particular embodiment, a controller generates an entity profile for an entity by iteratively retrieving data related to an entity, the data including structured data and unstructured data, determining a structure for the unstructured data by applying the retrieved data to the AI model, the structure including a plurality of fields, and populating one or more fields of the entity profile with a respective value that is extracted from the retrieved data using the AI model. The controller stores the entity profile in a database comprising a plurality of entity profiles corresponding to different entities. The controller generates, using the AI model, a score for the entity in relation to an attribute based on an AI-driven analysis of the plurality of entity profiles.

The invention discloses a data asset management system and method, and relates to the field of data management, and the system comprises a data collection layer which is used for collecting multi-source heterogeneous data; the data integration layer is used for integrating the multi-source heterogeneous data and constructing a data warehouse; the data storage layer is used for carrying out structured storage on the data in the data warehouse; the data governance layer is used for performing standardization processing and quality management on the data stored in the data storage layer to obtain target data; and the data application layer is used for performing dynamic tracking inventory and classification level-to-level management on the data assets based on the target data. Through cooperative work of five layers of architectures, full-process closed-loop management of the multi-source heterogeneous data from collection to application is realized, and the problems of difficulty in integration of the multi-source data, low management efficiency, uncontrollable quality and the like are effectively solved by the overall scheme.

The invention provides a credit repair certificate automatic issuing method and device and electronic equipment, and belongs to the technical field of credit management. Comprising the steps of obtaining a credit repair certificate issuing application submitted by an enterprise, and dividing the issuing application into a local data application and a remote data application; based on the operation behavior in the whole auditing process, generating a block chain evidence storage record containing a timestamp, an operator identifier and an auditing opinion; and uploading the application state data to the credit service platform, and generating a corresponding credit repair proof file for the passed application. According to the method, efficient, safe and traceable whole-process online issuing of the credit repair certificate is realized by intelligently distinguishing local and remote dishonesty data, implementing a grading processing mechanism combining automatic verification certificate issuing and manual auditing and combining block chain certificate storage and electronic signature technologies.

A modular compliance verification and audit recording system is disclosed. The system includes a plurality of hardware modules interconnected via a system communications bus, a memory storing rule sets, access profiles, and encrypted audit records, and communication circuitry configured to interface with one or more external electronic devices through a secure network gateway. The system receives and authenticates compliance data, applies stored rule sets to determine verification results, records verified events as immutable audit entries, and enforces data-minimization and redaction policies to generate privacy-protected audit information. The processed audit information is transmitted over the secure network gateway to authorized external systems. The system provides end-to-end verification, recording, and privacy preservation of compliance-related data across distributed computing environments.

The invention relates to a flexible electronic skin integrated dust-breath bimodal detection system and detection method. A bimodal sensing module, a signal processing module, a wireless transmission module, a data application module, an abnormity early warning module and a power supply are integrated on a composite flexible substrate; the bimodal sensing module monitors a dust concentration characteristic signal of a working place and a breathing frequency characteristic signal of a worker in real time; the signal processing module receives the signals and carries out noise reduction and data fusion processing to obtain a data set D; the wireless transmission module transmits the data set D to the data application module in real time, performs data real-time display, historical data storage, report generation and data export functions, and supports synchronization to an occupational health management platform; meanwhile, the data application module can process data in the data set D and feed back a processing result to the abnormity early warning module, and the abnormity early warning module correspondingly triggers an early warning signal according to feedback data; according to the invention, the target can be continuously monitored, and a high-precision detection result is obtained.

The invention relates to a knowledge graph visualization tool construction system, and belongs to the field of knowledge graphs. The system comprises a data processing module, an algorithm management module, a graph design module, an extraction and mapping module and a data application module. The method comprises the following steps: acquiring a data source required for constructing a knowledge graph, and carrying out cleaning, format conversion and integration on data; knowledge is extracted and mapped through knowledge mapping, knowledge graph creation and structural design are supported, entity and relation management and visualized display of a knowledge graph are supported, and meanwhile, a graph knowledge question and answer function is provided. The modules cooperate with one another, so that the data processing efficiency, the knowledge extraction accuracy, the dynamic updating capability and the visual interactivity are improved, and the requirements of users in data analysis and mining are met.

The invention discloses a dynamic updating and optimizing method for a digital twinborn model in the construction process of a towering steel structure, and relates to the technical field of towering steel structures. Comprising the following steps: S1, multi-source data acquisition: aiming at segmented assembly interfaces, temporary support nodes, main stress components and environment interaction interfaces of towering steel structure construction, S2, initial model construction; s3, dynamic updating; s4, optimizing regulation and control; s5, full-cycle data application; and determining correction logic and priority of different types of deviations, and combining exclusive data acquisition in a construction stage to ensure high synchronization of model updating and a real construction state. Through collaborative modeling of the temporary support and the main body structure, the model can accurately reflect the structural stress characteristics in the construction stage, and the technical problem that an existing model ignores the influence of the temporary support is solved.

The invention discloses a data quality comprehensive evaluation method and system, and the method comprises the steps: analyzing power collection data, and determining key data indexes related to a preset quality evaluation dimension; determining an index value of the key data index, and determining a sub-quality evaluation value of each preset quality evaluation dimension based on the index value; determining the weight of each preset quality evaluation dimension, and comprehensively determining an initial quality comprehensive evaluation value of the power collection data based on the sub-quality evaluation values and the weights; determining a prediction value coefficient of the power acquisition data, and correcting the initial quality comprehensive evaluation value to obtain a quality comprehensive evaluation value; and determining a quality grade of the power acquisition data based on the quality comprehensive evaluation value, and determining a rectification driving strategy of the power acquisition data. The power acquisition data can be comprehensively evaluated and quantitatively analyzed, the data quality condition is deeply known, the prediction value coefficient is introduced to determine the data application value, and a more reliable reference basis is provided for data decision making.

The invention discloses an intelligent analysis method and system for a drilling geological design document and a medium, and belongs to the technical field of intelligent document management.The intelligent analysis method comprises the steps that by converting the naming format and type of the document, chapter catalogs, characters and tables of a text are screened out, the chapter catalogs, content and tables are cleaned, and the content of the text is obtained; and matching the cleaned chapter catalog with a standard template catalog to complete text analysis. According to the intelligent analysis method provided by the invention, the historical drilling geological design document can be automatically analyzed, the analysis efficiency and accuracy are greatly improved, the geological design knowledge base is established, a data basis is provided for intelligent generation of drilling geological design, and the data application value is further improved while the working efficiency of business personnel is improved. Meanwhile, the oil field data treatment cost can be greatly reduced, and the purposes of reducing cost and increasing efficiency are achieved.

The invention discloses a multi-source heterogeneous industrial equipment protocol adaptation and unified access system aiming at the problems of multi-protocol adaptation, plug and play, flexible expansion and intelligent management, and belongs to the technical field of industrial internet. The system comprises a sensing access layer which is used for establishing physical connection between industrial equipment and a unified adaptation layer and receiving and forwarding heterogeneous protocol data from the industrial equipment; the unified adaptation layer is used for analyzing the heterogeneous protocol data and converting the original heterogeneous protocol data into standard data in a unified format; and the application service layer is provided with a standardized data access interface and is used for providing standard data in a unified format for a user. According to the method, the equipment protocol barrier is broken, the access complexity is reduced, and the system expansibility and the intelligent level are improved.

The invention provides a data real-time synchronization and processing method based on a security business scene and a related device. The method comprises the following steps: acquiring first data corresponding to a source end in real time; performing real-time storage and architecture construction on the first data through a preset streaming storage tool to obtain second data; performing real-time processing on the second data through a preset real-time processing engine to obtain third data; and pushing the third data to the target end in real time, and applying the third data to the target security business scene of the target end. Through full-link real-time design and matching with a high-throughput and low-delay technical tool, the timeliness of data processing is remarkably improved.

An information processing device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: generating, based on inference target data include a detection target object, aggregate data smaller than the inference target data; and applying the aggregate data to a trained model to infer a first region that is a region of the detection target object in the aggregate data, generating packed data that is data packed with the first region or a region of the inference target data, applying the packed data to a trained model to infer a second region that is a region of the detection target object that is included, and inferring the detection target object in the inference target data based on the second region.

The application relates to the field of deep learning, and provides a super-resolution reconstruction method, a device and a storage medium. The method comprises the following steps: acquiring a pre-trained floating-point super-resolution model and a calibration data set; based on the calibration data set, performing sorting-based quantization boundary initialization, which comprises the following steps: statistically sorting the weight and activation value data of the floating-point super-resolution model by using the calibration data set, and determining a quantization interval by using a percentile method based on the sorted data distribution; based on the quantization interval, performing bias compensation quantization, which comprises the following steps: calculating a bias compensation mean value, and applying adaptive offset to the weight and activation value data of the floating-point super-resolution model; and using the quantization model optimized by using the calibration data set to perform super-resolution reconstruction on a low-resolution image. According to the technical scheme, the quantization interval is optimized, and the data bias is corrected, so that the reconstruction precision of the super-resolution model after quantization is effectively improved.

The present application belongs to the technical field of industrial data processing application, and particularly relates to a data management method based on industrial big data, comprising the following steps: S1, obtaining multi-source heterogeneous industrial data; S2, cleaning and converting the data obtained in S1; S3, auditing and improving the quality of the data according to the published data standard; S4, externally opening the audited and improved data in the form of API sharing and providing data application services. Using the method, the effectiveness, format consistency and applicability of the data can be ensured, and the audited and improved data can be fully utilized, thereby solving the problems of low data quality and difficult data utilization in the industrial field. In addition, the method can reduce the human waste caused by manual data quality checking.

The application provides a geological big data storage structure construction method, comprising: inputting engineering investigation data, regional geological data, groundwater data and three-dimensional geological model data generated by a data acquisition end into a geological big data center for storage; the geological big data center standardizes the engineering investigation data, the regional geological data, the groundwater data and the three-dimensional geological model data and stores them into a structured non-spatial database, a structured spatial database and an unstructured database of the geological big data center; a geological big data service center constructs standard services of the structured non-spatial data, the structured spatial data and the unstructured data and sends them to a data application end. The data big data center standardizes data management, classifies and converts data and stores the data in different areas, so that the purpose of multi-end synchronization and use is achieved.

The invention discloses a network security reinforcement method fusing machine learning and dynamic strategy adjustment, an electronic device and a medium, the method comprises the following steps: preprocessing network data to obtain preprocessed data, the network data comprising system layer data, network layer data, application layer data and user and asset data; a machine learning and reasoning model is constructed based on GraphSAGE of the graph neural network and the preprocessed data, the machine learning and reasoning model outputs a prediction result, and the prediction result comprises a node anomaly probability and a threat propagation probability; generating a strategy instruction based on the prediction result; controlling the network to hierarchically execute a dynamic security policy based on the policy instruction so as to reinforce the network security and obtain a security-reinforced network; generating an evaluation result based on the network after security reinforcement; and closed-loop feedback is carried out on the network after security reinforcement based on an evaluation result. According to the method, the adaptability, response efficiency and intelligent level of security reinforcement to dynamic threats can be improved.

The invention relates to a financial payment terminal intelligent management system based on signal processing, and the system comprises a data application device which is disposed in an automatic selling cabinet body, and is used for intelligently analyzing the 3D size corresponding to a cargo based on multiple pieces of visual information of the cargo to be stored at present; and the information matching component is connected with the data application device and is used for sending a volume mismatching signal indicating that the volume of the currently stored goods is not matched with the volume of the set storage grid body when the 3D size corresponding to the intelligently analyzed goods is greater than the maximum storage volume of the set storage grid body. According to the invention, the 3D size corresponding to the goods can be intelligently analyzed based on multiple pieces of visual information of the goods to be stored at present, and whether the volume mismatching signal indicating that the volume of the goods to be stored at present is not matched with the volume of the set storage grid body is sent or not is further determined; therefore, intelligent identification of whether the volume of the goods to be stored in front of the set storage grid body is matched with the volume of the set storage grid body is realized.

A method for providing personalized non-profit venue visit recommendations to a visitor at a non-profit venue, comprising: providing a management interface for management of a set of multimedia assets; receiving a mapping of multimedia assets to a display in at least one site plan; receiving metadata for the set of multimedia assets; providing an interface for receiving data indicating personal interests of a visitor, including visitor-provided preference data and passively-collected visitor interaction data; receiving personal interest data for a plurality of non-profit venue visitors; receiving preference data relating to a prospective visitor; applying a machine learning system to analyze the metadata, the data indicating personal interests of the visitor, the personal interest data for the plurality of non-profit venue visitors, and the preference data relating to the prospective visitor; and generating a selection or sequence of non-profit venue location recommendations for the prospective visitor.

The present application relates to a data collection method, a first device, a second device, a chip, a computer-readable storage medium, a computer program product, a computer program, and a communication system. The data collection method comprises: a first device receives data set information from a second device, wherein the data set information is used for the first device to determine first superimposed pilot data and / or label data corresponding to the first superimposed pilot data. Embodiments of the present application help to apply superimposed pilot data to an actual data transmission process, thereby improving the utilization of transmission resources.

The invention discloses a lightweight master data management method, which relates to the technical field of digital office, and realizes flexible iteration and cross-system data collaboration of a master data specification by creating a master data source system, issuing a dynamic adaptation system and standard and utilizing a master data classification dynamic mapping mechanism to clarify a master data unique source system; the method comprises the following steps: establishing an intelligent workflow, establishing a main data application function and approval permission intelligent adaptation engine in an office OA, and automatically generating a main data distribution interface with permission binding after obtaining approval, thereby improving the approval efficiency and the main data use security; an adaptive API interface is created, an interface dynamic adaptation and load balancing mechanism is constructed in a main data source system, and efficient and direct distribution of main data is achieved; through main data distribution quality closed-loop monitoring, log analysis and dynamic optimization engine linkage are utilized, and the main data distribution quality is guaranteed.

The invention relates to the technical field of engineering construction safety, and discloses an engineering construction site intelligent supervision system, which comprises a front-end data acquisition layer, an edge calculation layer, a cloud data processing layer and an application layer which are in communication connection in sequence, and the front-end data acquisition layer comprises a high-definition spherical camera, a BT-452 Beidou positioning module and a BT-878 wireless communication module. According to the intelligent supervision system for the engineering construction site, a high-definition spherical camera of the front-end data acquisition layer acquires construction material images, a Shufflev2-YOLOv5 detection algorithm of the edge calculation layer takes Shufflev2 as a main network and is combined with FocalLoss to relieve unbalance of material types, a data fusion module of the cloud data processing layer dynamically weights and fuses material detection data, and the data fusion module performs data fusion on the material detection data. And a material metering module of the application layer calculates the volume and mass of the material according to the size of a target frame output by an algorithm, and when the mass exceeds the standard, a safety early warning module of the application layer is directly triggered to send a sound-light alarm signal to form a closed loop, so that the problems of insufficient material detection precision, inaccurate metering and lack of cooperative early warning are solved.

The invention discloses an electronic resume data application method and a computer readable storage medium, and the method comprises the following steps: connecting at least two data source systems, and respectively extracting electronic resume data of the same nuclear power equipment from the at least two data source systems, the electronic resume data of the nuclear power equipment comprises maintenance work order data and fault notification order data of the nuclear power equipment on a work order system and input / output information of the nuclear power equipment on an IO information system; constructing a first risk prediction model based on the input / output information of the nuclear power equipment and the maintenance work order data, and quantifying the operation risk of the nuclear power equipment; and training a first machine learning model based on the fault notification data and the input / output information of the nuclear power equipment, and predicting the fault of the nuclear power equipment. According to the method, data islands are broken, comprehensive integration of data is realized, and a scientific basis is provided for operation and maintenance management of the nuclear power station through quantified operation risks of the nuclear power equipment and predicted faults of the nuclear power equipment.

The present application belongs to the technical field of data management, and particularly relates to a data management system for a twisted wire automatic detection platform, to solve the technical problem that the prior art cannot identify periodic defects and the traceability analysis process cannot correlate defects. The management system comprises: a data acquisition and synchronization unit for forming a longitudinal data profile; a main data modeling unit for constructing a pedigree main data model containing twisted wire product, single wire raw material and production process data; a data warehouse hierarchical processing unit for establishing a hierarchical data warehouse; an identification unit for constructing a data theme layer above the data detail layer; and an application service unit for constructing a data application layer above the data theme layer. The present application realizes traceability from quality problems to production, and provides data decision basis for process improvement and quality control.

The embodiment of the present application provides a metadata processing method and device, the method comprises the following steps: obtaining metadata generated in an execution process of a target service; determining at least one of data correlation degree, service cost value and data application frequency according to the metadata; determining a target reuse value according to the at least one of the data correlation degree, the service cost value and the data application frequency, wherein the target reuse value represents a possibility size of metadata reuse; and storing or deleting the metadata according to the target reuse value. The present application improves the accuracy of the target reuse value determination, and further improves the accuracy of data management.

The application discloses a cross-environment data synchronization method and device, a storage medium and an electronic device, relates to the technical field of computers, and the cross-environment data synchronization method is applied to a first synchronization service deployed in a first environment. The first synchronization service can execute the cross-environment data synchronization method: receiving an authorization request sent by a first foreground service call authorization interface; calling a reading interface to send a reading request to a second synchronization service deployed in a second environment according to a callback environment address, the reading request carrying a synchronization code and an authorization value corresponding to a data application record, the synchronization code and the authorization value being generated and recorded when indicated by indication information; receiving a synchronization request sent by a second synchronization service calling a writing interface, the synchronization request including the synchronization code and synchronization data; if the synchronization code is verified, storing the synchronization data and updating the authorization value to a synchronization value. The application can safely improve synchronization efficiency and reliability when data is synchronized across environments.

The invention provides an electronic device and a test data application method of a fingerprint sensing module thereof. The method includes the following steps. Recording general test data of the fingerprint sensing module; the general test data is generated based on performing a test program on respective fingerprint sensing modules of a plurality of tested electronic devices. Recording special test data of the fingerprint sensing module; the dedicated test data is generated based on performing a test program on a fingerprint sensing module of the electronic device. When an assembly event related to the fingerprint sensing module occurs, application test data is selected from the dedicated test data and the general test data. The application test data is used for the fingerprint sensing module to execute a fingerprint registration program or a fingerprint verification program. Therefore, the adaptability and the stability of the fingerprint sensing module under different devices and assembly conditions can be enhanced.

A method for performing data encryption and application-agnostic querying of encrypted data includes identifying, via a processor, selected data for encryption. Encryption is applied to the selected data, to produce encrypted data. A query is received at the processor, the query originating from a software application. The query is translated into a modified query compatible with the encrypted data. The processor causes execution of the modified query, to produce query results. The query results include a subset of the encrypted data. The query results are sent to the software application without decrypting the subset of the encrypted data.

The application belongs to the technical field of big data, and particularly relates to a heterogeneous data real-time synchronization method, device and computer equipment. The method comprises the following steps: obtaining change information of a data operation log file in a relational database of a source end business system, wherein the change information comprises at least one piece of change data; pre-processing the change information to generate a binary file; transmitting the binary file to a target file storage system; restoring the binary file to obtain the change data in the target file storage system; writing the change data into an incremental data table of the target file storage system; and merging the incremental data table with a stock data table of the target file storage system to complete heterogeneous data synchronization. The method, device and computer equipment can shorten the time of heterogeneous data synchronization, and better meet the data application scene with high timeliness requirement.