299 results about "Data call" patented technology

The invention relates to a system for realizing financial agent credible authentication based on distributed digital identity, which comprises a base layer, an identity layer, an authority layer and a business layer, and is characterized in that the base layer integrates distributed digital identity authentication service, subscription service and distributed storage service, and constructs a credible collaboration framework covering the whole life cycle; the identity layer is configured with a DID generation module, a DID verification module and a DID query module; the authority layer deploys a VC signing and issuing module, a VC verification module and a digital envelope module; the business layer comprises a client and a server between security institutions, and carries out cross-institution data calling through mutual trust verification and MCP message interaction. According to the system for realizing the credible authentication of the financial agent based on the distributed digital identity, through the fusion innovation of the distributed digital identity, the verifiable certificate and the block chain technology, the decentralization of identity authentication, the dynamic authority management and the full link of auditing and tracing are realized in a security industry agent cooperation scene.

The invention relates to a method and a system for storing and backing up electric power data of a data-in-data station based on use popularity, and belongs to the technical field of data-in-data stations, and the method comprises the following steps: classifying electric power business data into hot data, temperature data and cold data based on preset access frequency, time window and data volume index; according to a classification result and a business importance degree, storing hot data in an SSD cloud disk or a memory database, storing temperature data in a distributed column database, and compressing cold data and then archiving the cold data to an object storage or a tape library; dynamically configuring differentiated backup strategies for different types of data; automatic scheduling of storage and backup is realized through a cloud platform component, and hot switching of master and slave databases, OSS archived data recovery by a DataWorks tool and a remote multi-copy recovery mechanism are supported; and migrating data in advance in combination with a historical access prediction popularity trend, and triggering cold data compression and archiving when storage resources exceed 80%. The method is suitable for power industry scenes, the storage cost is optimized, and the data calling efficiency is improved.

The invention provides a digital employee robot performance intelligent evaluation method and system, and relates to the technical field of data processing, and the method comprises the steps: carrying out the feature extraction of user interaction contents in all scenes; performing fluctuation detection, identifying a time period of abnormal fluctuation, and extracting user request content and robot response content in the time period; restoring the current session path based on a preset business process template, performing path consistency comparison in combination with a response rule of the robot under the path, and generating an abnormal node set if the path is interrupted or the response is offset; extracting a user request format, a robot response behavior and an external data calling state corresponding to each abnormal node, performing abnormal source analysis, calculating user input abnormity, and identifying an attribution probability of abnormity and data interface abnormity; according to the invention, autonomy and accuracy of robot performance intelligent evaluation are improved.

The invention provides a water conservancy information security protection method and system. The method comprises the following steps: S1, edge equipment physical security reinforcement; S2, dynamic encrypted data acquisition; S3, adaptive fragmentation redundancy transmission; a protection module is deployed in a water conservancy sensor and an RTU, equipment vibration, uncovering and environmental parameters are monitored, abnormal physical attacks or environmental overrun are detected, a secret key is automatically erased, a data protection mode is started, data leakage when equipment is physically damaged is prevented, data security of edge equipment is guaranteed, and the safety of the equipment is improved. And in cross-system data interaction, an MPC or federated learning technology is adopted, original data is locally reserved, and a block chain audit log is generated to record a calling behavior, so that data sharing is realized, data is ensured not to be locally out, data privacy is guaranteed, and a data calling tracing basis is provided.

The invention provides a dynamic data traceability method and system oriented to network security, and relates to the technical field of network security and data governance crossing, and the method comprises the steps: carrying out the real-time visual monitoring of a user interaction interface of a data transaction platform, and capturing the visual behavior information related to data calling; extracting feature parameters based on the visual behavior information to obtain a visual feature data set, and performing structured conversion on the visual feature data set to obtain a structured call log record containing visual behavior associated information; based on the structured call log record, extracting a time sequence, a frequency and a spatial distribution feature of a call behavior as basic indexes; a plurality of feature sampling states are dynamically selected in a monitoring time window, and a dynamic feature evaluation set is constructed based on the feature sampling states. According to the invention, the accuracy and controllability of network security protection in a data transaction scene can be improved.

The invention discloses a joint optimization clustering distributed photovoltaic power prediction method and system, and relates to the related field of distributed energy management, and the method comprises the steps: carrying out the local calling of data, carrying out the time sequence alignment, and constructing a multi-dimensional feature association number table; extracting geographic position information and historical output data to perform similarity analysis, performing spectral clustering, and outputting a photovoltaic cluster; collecting meteorological time series data according to the power prediction scale, inputting the meteorological time series data into the cluster power prediction model, and performing cluster power prediction; grid-connected space-time joint optimization is carried out according to the cluster-level power prediction value, and an energy storage charging and discharging scheduling strategy is output; after single-station fitting conversion is carried out and a distributed power prediction value is output, output deviation identification is carried out, and a fault node is positioned; and dynamically updating the energy storage charging and discharging scheduling strategy. The technical problems that existing power prediction is not high in precision, cross-cluster power optimization scheduling is difficult to achieve, and the power grid operation stability is poor are solved, and the technical effect of improving prediction accuracy and the power grid operation stability is achieved.

The application relates to a composite robot multi-modal data encryption transmission method and system and a terminal, and relates to data transmission, which comprises the following steps: collecting information of a composite robot; classifying and encrypting the collected information through a preset encryption algorithm to obtain encrypted information; acquiring data calling information of the composite robot; determining whether the data calling information is consistent with preset reference calling information; if the data calling information is not consistent with the reference calling information, continuously acquiring the data calling information; if the data calling information is consistent with the reference calling information, encrypting the data calling information through the preset encryption algorithm to obtain encrypted calling information; and decrypting the encrypted information according to the encrypted calling information to obtain target collected information and outputting the target collected information to a preset calling platform. The application has the effect of improving the security of composite robot data transmission.

The invention discloses a subway tunnel full-section intelligent inspection robot system. The system comprises a mobile platform; a disease detection module; the data processing unit adopts an embedded industrial mainboard, is internally provided with a filtering algorithm and a ResNet50 deep learning model, processes the image and the point cloud in real time, automatically identifies the type, the position and the size of the disease and generates a three-level report; a main channel of the communication module is a double 5G industrial module, supports real-time uploading of a disease result, automatically switches a local cache when 5G is interrupted and supplementarily transmits the disease result afterwards, and is provided with a Bluetooth unit for on-site short-distance data calling; the power supply module adopts two groups of 12V / 100Ah lithium iron phosphate batteries which are connected in parallel, the endurance is greater than or equal to 4 hours, a brake energy recovery device is integrated, the battery is charged back during downhill or deceleration, the endurance is prolonged by about 15%, and one-hour fast charging is supported; and an auxiliary function module. According to the method, the consistency and reliability of detection data are remarkably improved, and a stable basis is provided for subsequent high-precision disease recognition.

The invention provides a rainstorm flood disaster chain monitoring field knowledge graph construction method, and relates to the technical field of knowledge graph construction, and the method comprises the steps: carrying out the preprocessing of original multi-source disaster data, and obtaining various types of quality-controlled data; calling a disaster field fine-tuning large model and an ontology inference engine based on the preliminary corpus and the multi-class quality-controlled data to generate a core ontology and a sub-document set, screening the sub-document set to construct a document association graph, and calling a mapping model to match a structured data field and a core ontology attribute; performing triple extraction according to the sub-document set and the constructed three-level cue word template; ontology instance attributes are vectorized and clustered, a three-layer collaborative system and an atlas core structure are generated through domain conflict repair and pruning density adjustment, a data calling disaster domain fine-tuning large model is obtained based on a processing process to complement an instance implicit relationship of the atlas core structure, and a target knowledge atlas is constructed. According to the invention, construction of the knowledge graph in the disaster field is realized.

Various aspects of the present disclosure relate to a network system, user equipment (UE), method, and processor for wireless communication that supports rich data call establishment. The network system receives a message from an originating UE, and a first network entity obtains, from a second network entity, headers, payload, with token claims of a personal assertion token (PASSporT) extension for rich call data, and a private key certificate associated with a user identifier contained in the message. The first network entity creates a signature and at least one header of the PASSporT extension for rich call data, adds the signature in a first Session Initiation Protocol (SIP) header to the message, and transmits the message with the header to a third network entity for verification. When verified, the message with a second IP header is forwarded to a terminating UE to establish an IMS session with the originating UE.

The invention discloses an intelligent data calling method based on an MCP protocol, and the method comprises the steps: carrying out the intention recognition and key entity extraction in response to a natural language request of a user, and obtaining a plurality of user intentions and at least one key entity; judging based on the confidence coefficient of the key entity, and screening the user intentions according to the confidence coefficient of the user intentions to obtain an execution sequence containing a plurality of subtasks; and determining at least one target data source tool from a plurality of data source tools packaged based on the MCP protocol according to the description of the subtasks one by one so as to perform data query based on the key entity, obtain a query result and generate a final response. According to the method, the system decision reliability can be improved, the tool calling intelligence is enhanced, the process automation is realized, and the two major problems of low task planning quality and inaccurate tool calling are solved.

The invention discloses a leasing user credit risk assessment method and system based on a block chain, and relates to the technical field of block chain management. The leasing user credit risk assessment method based on the block chain comprises the following steps: carrying out block chain calling delay assessment; evaluating data write-in delay; and performing off-chain transmission delay evaluation. According to the method, the stability delay evaluation is performed based on the link transmission data volume, meanwhile, according to the stability delay evaluation result, whether to perform block parameter optimization or not is judged, data write-in delay evaluation is performed based on write-in delay data, whether to perform block chain data call optimization or not is judged, and under-chain transmission delay evaluation is performed based on transmission delay data; and meanwhile, whether data byte number optimization is carried out or not is judged, so that the effect of improving the reliability of the lease user credit rating data transmission risk assessment is achieved, and the problem of low reliability of the lease user credit rating data transmission risk assessment caused by corresponding transmission delay in the data chaining process of the block chain in the prior art is solved.

The invention provides a data sharing method and system. The intelligent level and compliance of data management can be improved. The data sharing method comprises the steps of performing classification based on structured data and unstructured data of to-be-shared data to obtain a data label and a data type; based on the data label and the data type, establishing a data asset directory of the to-be-shared data; obtaining a data calling application and a department sending the data calling application; based on the data asset directory, the data calling application, the information of the department and a preset rule, determining a data calling permission of the department; when the data calling permission of the department shows that the department allows calling, performing desensitization processing on the data based on the preset rule to obtain desensitized data; and sending the desensitized data to the department sending the data calling application.

The embodiment of the invention relates to a security verification method and device for an intelligent agent, equipment and a storage medium. The method comprises the steps of generating a first structured representation for describing a dependency relationship in a task running process based on running time sequence data corresponding to at least one task running process of an intelligent agent; the first structured representation comprises a plurality of operation nodes corresponding to the following items: a plurality of processing functions and data called in the task operation process; determining corresponding security description information of a plurality of operation nodes in the first structured representation at least based on a tool security configuration related to an available tool of the agent and a data security configuration related to an accessible data object of the agent; and based on the corresponding security description information of the plurality of operation nodes, executing security verification on the task operation process of the intelligent agent. Therefore, accurate modeling and effective verification of the operation process of the intelligent agent can be realized, so that the coverage rate and accuracy of risk identification are improved.

The invention discloses a power equipment fault incremental learning method and system oriented to a small sample condition, and belongs to the technical field of power equipment fault processing. According to the comprehensive incremental learning platform, a comprehensive data calling space is arranged in the comprehensive incremental learning platform; according to the invention, through linkage of the comprehensive incremental learning platform and the fault incremental dynamic processing module, joint optimization from data acquisition to weight adjustment is realized; the weight risk analysis module is matched with the decision regulation and control module to ensure that an operation program constructed by historical operation data is not excessively forgotten by learning a new fault optimization decision during small sample fault learning; a fault link of traditional scattered data acquisition-isolated model reasoning is reconstructed into a closed-loop system of feature classification-weight optimization-operation data solidification, so that the diagnosis accuracy under a multi-fault concurrent scene is greatly improved, and the problems of data link fault and poor model stability are effectively solved.

The invention provides an employment public service platform, and relates to the technical field of human resource management, and the platform comprises a demand data storage unit which builds a database of demand professional course information of each post corresponding to each enterprise, according to the market change data, controlling to carry out adaptive adjustment on the course information of each requirement specialty in the database; the satisfaction data calling unit is used for inputting personal verification information of employees participating in the employees and calling out satisfaction professional course information matched with the employees; and the promotion data analysis unit is used for acquiring required post information corresponding to employees. According to the employment public service platform provided by the invention, post matching can be efficiently completed according to learning information mastered by employees and learned information required by enterprise posts.

The invention discloses a call request processing method and system, a storage medium and electronic equipment. The method is applied to a core network control node, and comprises the following steps: in response to a call request initiated by a calling party, obtaining call data of a call initiated by the calling party, the call data at least comprising a calling party number and a called party number; when the number of the called party is located in a preset first number list, adopting a plurality of call request evaluation models to predict the call request of the calling party to obtain a plurality of abnormal request probabilities; performing weighted fusion calculation on the plurality of abnormal request probabilities to obtain a target abnormal request probability; determining whether the call request is abnormal according to the target abnormal request probability and a preset probability threshold; and under the condition that the call request is abnormal, refusing to establish the call connection between the calling party number and the called party number. Therefore, according to the scheme provided by the embodiment of the invention, the processing precision of the call request is improved.

The invention relates to the technical field of intelligent voice data processing, and discloses an intelligent voice interface data calling method. The method comprises the following steps: receiving a voice instruction stream input by a user, and converting the voice instruction stream into a structured semantic unit set through a multi-level semantic analysis engine; and dynamically layering the instruction intention according to the semantic association degree in the structured semantic unit set to generate an intention sequence with priority marks. And based on the priority mark of the intention sequence, extracting a candidate data block set matched with the intention of each level from a distributed data storage cluster. And performing cross-modal feature alignment on the candidate data block set, and calculating the semantic coverage degree of each data block and the corresponding intention hierarchy. And screening out target data blocks according to a semantic coverage threshold, and recombining the data blocks according to a priority sequence of the intention sequence. And loading the recombined target data block set to a real-time processing channel of the voice interface to generate an interactive voice response data stream.

The invention discloses an enterprise data intelligent processing method and system based on cloud edge collaboration, and relates to the technical field of cloud computing, and the method comprises the steps: collecting a plurality of data collection sources of a target enterprise; analyzing local data call transmission scenes of the plurality of data collection sources to establish a plurality of local call relationship networks; analyzing a local calling demand according to the local calling relation network, planning an edge end data processing path, and generating the edge end data processing path; and finally, analyzing a cloud joint calling demand, and based on the edge end data processing path, executing data processing path planning from the edge end to the cloud to obtain an edge-cloud data processing path plan. According to the method and the device, the technical problems that data processing paths are disordered and resources are wasted due to the fact that the enterprise data cannot adapt to multi-source data differentiation processing requirements in local and cloud cooperative processing are solved, and the technical effects of adapting to the enterprise multi-source data differentiation processing requirements and realizing efficient enterprise data processing and data value conversion are achieved.

The invention provides a fault diagnosis-oriented intelligent question and answer auxiliary method, which comprises the following steps that: a multi-modal input processing module is constructed, and the multi-modal input processing module supports two input modes of text and voice, so that flexible acquisition of fault information is realized, and comprehensive and accurate initial data is provided for subsequent intelligent retrieval and question and answer; maintenance domain knowledge is taken as a core, a vector knowledge base supporting efficient retrieval is constructed, and a solid knowledge basis is provided for intelligent questions and answers; constructing an intelligent Agent decision module, and performing user intention recognition, task scheduling and data calling based on the intelligent Agent decision module; semantic retrieval is combined with a generative question and answer model to obtain a retrieval enhanced generative question and answer module, and multi-round reasoning and knowledge deduction capabilities of complex questions are realized; and a multi-modal feedback module is constructed, and the multi-modal feedback module converts the intelligent question and answer result into a text or voice form for feedback to adapt to the maintenance scene requirement.

The application discloses a kind of civil aircraft aerodynamic theme data management methods, belong to aerodynamics test data management technical field, the core of management method is using aerodynamic wind tunnel test train table to realize the management of test data for the basic model of civil aircraft and its research category;Managed data includes four levels of research category, research object, project and result, each level contains relevant data resources;The application includes civil aircraft aerodynamic theme data warehousing method based on train table, civil aircraft aerodynamic theme data organization management, civil aircraft aerodynamic theme data retrieval and display, civil aircraft aerodynamic theme data maintenance and civil aircraft aerodynamic theme data call.The application replaces the mode of original data organization with test condition and test state, and operation is more simple, intuitive and convenient and fast.

The present application relates to the technical field of data interaction, and provides a smart medical interaction method and system based on big data, in particular to the method, which comprises the following steps: creating a physiological knowledge data model, a user registers by inputting personal attributes through a terminal, and different permissions are given according to the personal attributes; the user inputs relevant health data through the terminal, and collects physiological data of the patient; the relevant health data is analyzed, and a weight value is given to real-time physiological parameters; the weight value is calibrated; the real-time physiological parameters are input into a disease state simulation model for simulation; the simulation result is input into the disease state simulation physiological knowledge data model, a corresponding doctor is found according to the simulation result to provide an answer, and the answer process is stored. The system comprises a health data acquisition module, a health data calling module and an interactive health data module. The present application improves the quality and efficiency of medical services, and provides a precise, convenient and personalized health management scheme for patients.

The application provides a kind of private data calling method and device based on applet, user identity information is collected and encrypted, and is packaged into unsigned digital pass; Front-end SDK checks whether there is corresponding private key, if there is user, input information to be verified and is verified by preset mode;After verification, front-end SDK and back-end SDK are signed to form signed digital pass;The whole encrypted digital pass after signing is encrypted;Data request carrying encrypted digital pass is sent to digital pass management system to obtain returned private data.In this scheme, under the premise of reasonable, legal and user authorization, the user's private data is called to the applet, more personalized content and services are pushed to the user, the user experience is improved, in addition, the security and privacy of private data in the calling process are ensured by using data encryption related technology, and the purpose of balancing user experience and data privacy protection is finally realized.

The application discloses a kind of data acquisition method and system for equipment service management platform, it is related to data acquisition technical field, it is proposed that a kind of intelligent screening reduction sequencing is used to solve the problem of low data acquisition efficiency, waste of computing resources, by collecting data call frequency, data fluctuation value, data effective period length and data area coverage range value, establish data analysis model, carry out logistic regression calculation, obtain screening evaluation coefficient, and compare with preset screening threshold value, according to the comparison result, obtain the equipment data paragraph of priority screening, then according to the data similarity of each priority screening equipment data paragraph, determine data screening paragraph, according to data screening paragraph, according to data screening paragraph call frequency user end real-time average upload speed and data screening paragraph in different area data distribution frequency degree A set of fuzzy rules are formulated to carry out fuzzy reasoning, determine data screening paragraph call sequencing result.

The application discloses a kind of carbon emission processing method and system, and carbon emission processing participant node constitutes blockchain network;Participant node includes: carbon emission monitoring platform and third-party verification agency node, the method includes: multiple monitoring devices collect carbon emission data;Edge computing gateway device obtains the carbon emission data collected by monitoring device and pushes to corresponding active identification carrier;Carrier sends industrial internet identification and carbon emission data to carbon emission monitoring platform node;Platform node generates enterprise carbon emission report according to identification and carbon emission data and sends to blockchain network;Third-party verification agency node calls carbon emission data obtained by carrier, compare the carbon emission data called with the data in report sent by blockchain network to obtain carbon emission detection result.The application can realize efficient and accurate monitoring of carbon emission based on real-time two-way access of third-party carbon emission data, which is conducive to completing carbon emission reduction task.

The invention discloses a data security traceability system and method in an oral solution medicine production process, and belongs to the technical field of medicine data security traceability. The system comprises a data traceability module which constructs an information data traceability chain based on each group of factory oral solution drugs; the source data calling module is used for calling the information data traceability chain of the oral solution medicine with the query information and marking source data; the risk analysis module is used for determining risk data of the oral solution medicine on the basis of a plurality of pieces of source data and the number of the marked query information corresponding to each piece of source data; the medicine distribution area management module is used for determining the number of oral solution medicines with risk data in each area based on the transportation data of the medicine distribution area; and the safety early warning module is used for judging whether a disease spreading risk exists or not based on the sales data of the medicine distribution area. According to the invention, abnormal data in the drug production and circulation process can be accurately locked through the traceability system, and the transparency of drug information is improved.

The invention discloses a credible data space contract dynamic generation method and device and a data calling method and device. The credible data space contract dynamic generation method comprises the steps that a natural language contract in a target scene is analyzed to obtain a key strategy element set, and constraint, behavior and environment elements are recognized to serve as corresponding class nodes; generating hyperedges to construct a three-dimensional hypergraph according to a real-time policy and node constraint logic; when a data use request signal is received, obtaining a current execution environment, a request purpose and a dynamic parameter; after the request is initiated for the first time, acquiring latest policy information from the constraint elements according to a preset interval, and updating the hypergraph into a target hypergraph; and finally, node attributes are updated based on the target hypergraph, an execution environment, a request purpose and dynamic parameters are analyzed, and an adaptive contract is dynamically generated according to an analysis result. According to the method, the contract matched with the specific requirement can be dynamically generated, and the flexibility, safety and manageability of data circulation are effectively improved.

The invention discloses an electric power data supervision system and method based on big data, and relates to the technical field of electric power data supervision. The system comprises a data processing module which is configured to obtain power data and meteorological data, clean the power data and the meteorological data and then send the cleaned power data and meteorological data to a data storage management module; the prediction analysis module is configured to predict the estimated generating capacity of the new energy according to the called meteorological data and send the estimated generating capacity to the data storage management module; the data storage management module is configured to receive the electric power data, the meteorological data and the estimated generating capacity, integrate the received data and store the data, so that the data can be extracted by other modules; and the electric energy quality analysis module is configured to evaluate the power supply quality of the power system based on the power grid data called from the data storage management module. The problem that an existing electric power data supervision system is low in supervision efficiency is solved. The supervision efficiency of the power data supervision system and the exception handling efficiency of the power system are improved, and the power supply quality is ensured.

The invention relates to the technical field of intelligent locks, in particular to an intelligent lock with an intelligent acquisition function and a control method thereof.Importance levels of corresponding acquisition functions are represented through attribute weights, then the attribute weights are corrected through data calling records, and personalized weights better conforming to user habits are obtained; then a fitness function is determined based on the personalized weight, so that an optimal acquisition function calling strategy can be found through an optimization algorithm, and the calling strategy not only can select and reject a plurality of acquisition functions according to the residual electric quantity so as to prolong standby time, but also can match user habits and reserve common and important acquisition functions of a user; the purpose of balancing energy consumption and functions of the intelligent lock is perfectly achieved, it is ensured that safety and convenience are provided, high efficiency and energy efficiency are kept, user experience is greatly improved, and good prospects are achieved.

The invention belongs to the technical field of data calling, and particularly relates to a data calling and distributing system and method based on an industrial internet platform heterogeneous system. Comprising a business application system, a production control system, an industrial internet platform, a unified data acquisition gateway, connection management middleware, a workflow engine, data service middleware and a central server, and the unified data acquisition gateway acquires data through the business application system and the production control system; connecting the management middleware to obtain database information of the business application system; and the data service middleware receives a data request of the central server, and schedules data from the business application system through the connection management middleware. According to the invention, the problem that the data interface standard and the data format are different during data access of the multi-source heterogeneous system is solved.