137 results about "Service domain" patented technology

The invention discloses a service log abnormity early warning method and system based on an AI intelligent agent, and relates to the field of communication services. Comprising the steps of 1, carrying out log data acquisition and preprocessing, 2, constructing an AI agent model, 3, carrying out intelligent feature extraction: extracting semantic features of logs by utilizing a multi-modal log analysis model, analyzing time sequence features and statistical features of the logs, constructing multi-dimensional feature vector representation, and carrying out intelligent feature extraction; 4, performing abnormal mode identification: identifying an abnormal log mode based on a multi-mode log analysis model, discovering a potential abnormal type, and performing abnormal severity evaluation in combination with historical data, and 5, providing an intelligent early warning decision: making an early warning strategy according to the abnormal type and severity, generating a detailed abnormal analysis report, and performing early warning on the abnormal log mode. And step 6, carrying out model optimization: collecting user feedback and processing results, continuously optimizing model parameters and early warning thresholds, and updating the knowledge graph and the abnormal mode library.

The invention provides a 200GE service data transmission method based on 224G high-speed SerDes, a chip and a communication system, and the method comprises the steps that a PCS sending module carries out PCS sending processing on obtained upstream data to obtain first PCS data; the PCS sending module sends first PCS data to the PMA sending module through the rate increasing module according to the first PCS clock rate and the first PCS data bit width; the rate increasing module determines first clock information according to the first PMA data bit width, the first PMA clock rate, the first PCS clock rate, the first PCS data bit width and the set bandwidth so as to increase the first PCS clock rate; the PCS sending module sends first PCS data according to the first PMA data bit width and the improved first PCS clock rate; the PMA sending module processes the first PCS data and sends the first serial data. The method can be applied to the fields of internet access and related services, the alignment mark insertion process is avoided so as to improve the sending rate of the PCS layer, and the PMA state frame is introduced so as to accelerate link convergence and improve link stability.

Embodiments of this application provide a communication method and a communication apparatus. The method includes: A second network function network element receives a service request message from a first network function network element, and determines, based on a first token, whether to provide a service for the first network function network element. The service request message is used to request the second network function network element to provide the service for the first network function network element, and includes the first token and second service domain information indicating a service area of the service requested by the first network function network element, the first token includes first service domain information indicating a service area range in which the first network function network element is capable of obtaining the service from the second network function network element.

The invention relates to the technical field of question number precision, and discloses a financial intelligent question number precision method based on dynamic calculation optimization, and the method comprises the steps: obtaining the question information of the financial question number, carrying out the financial semantic rewriting through double knowledge bases, carrying out the time standardization of a multi-dimensional rule, and carrying out the definition of a text, and obtaining a standardized text; constructing a data access gateway, partitioning according to a service domain and time granularity, and executing data quality optimization processing; a financial index dynamic rule base is constructed, intelligent adaptation is carried out, and a visual rule is generated; setting a double-trigger updating mechanism; entity labeling processing is carried out, the entity probability is calculated, the incidence relation between entities is established, and the composite inquiry is disassembled into independent subtasks and sorted; constructing a calculation engine, calculating to obtain an index result, analyzing to obtain total execution time, comparing with a preset financial reasonable interval to carry out triple verification, judging the effectiveness of the index result, summarizing core information, and structurally displaying an induction conclusion.

The invention relates to the technical field of artificial intelligence and the field of financial services, in particular to a contract content verification method and device based on artificial intelligence, equipment and a medium. According to the method, a to-be-checked contract text is obtained, structured extraction is carried out on the contract text, a structured text representing paragraph marks, clause types and title levels is determined, compliance judgment results and result accuracy corresponding to each input collaborative agent are aggregated, and a check result with a comparison result being the corresponding contract text is obtained. The method can be applied to a financial service scene, the to-be-checked contract text is firstly obtained and subjected to structured extraction to obtain the structured text containing the paragraph mark, the clause type and the title level, and the contract text check result is obtained by comparing the aggregation result with the preset check condition. Therefore, the to-be-checked contract text is comprehensively subjected to structured analysis, and the contract text is automatically checked to obtain a check result.

The invention discloses an owner service AI workflow construction method and system based on a Dify platform, belongs to the field of automobile service, and aims to solve the problems of low efficiency, inaccurate reply, dependence on foreign technologies and inconvenience in access in traditional owner service. The method comprises the following steps: constructing a structured knowledge graph fusing data such as a vehicle specification and a maintenance manual; a special AI workflow integrating intention classification, key information extraction, knowledge graph query and logic decision nodes is configured on the Dify platform; deploying the workflow on a domestic cloud platform and packaging the workflow into an API; the development responsive web page front end provides lightweight access. The system correspondingly comprises a knowledge base management module, a workflow engine module, a model service module and the like. According to the method, full-link safety and controllability are achieved through the domestic platform and the autonomous model, the service accuracy and efficiency are improved through the knowledge graph and the fine tuning model, and convenient instant intelligent services are provided through the webpage side.

The invention relates to the technical field of artificial intelligence and the field of medical information security and financial services, in particular to a short message anti-fraud method and device based on artificial intelligence, equipment and a medium. According to the method, the to-be-sent short message is analyzed, the to-be-sent short message and the equipment information are subjected to feature classification extraction, for any feature category, the corresponding feature vector is evaluated according to the evaluation model, all evaluation results are fused, and the communication number is marked as the blacklist number. And receiving the short message of the communication number is blocked. The method can be applied to business scenes such as financial service and medical information security, the to-be-sent short message is analyzed by using the first anti-fraud model through the mobile terminal, if the short message is a problem short message and a user confirms sending, the short message is reported to the cloud, the result is evaluated and fused, and the global blacklist is updated to stop receiving the short message. Therefore, the short messages are comprehensively analyzed in the short message sending process of the mobile terminal, and the short messages meeting the conditions are accurately marked and blocked.

The invention discloses an intelligent education video service system based on cloud computing and a mobile terminal, and relates to the field of intelligent online education video services. Comprising a terminal and network module, a front-end processing module, a live broadcast and cooperation module, a test and evaluation module, a content generation module, a content auditing module, a cloud computing and resource management module and a data processing and personalized service module. According to the online education system, multiple substantive improvements are made in the aspects of a cooperation mode, an evaluation mechanism, content structured processing, dimension auditing and the like, obvious technical progress and creativity are achieved, the interactivity, fairness, safety and the intelligent level of the online education system can be remarkably improved, and through linkage of the timestamps and cooperation records, the online education system is more intellectualized. The live video is automatically split into scene segments, index playback, improper audio content identification and sound level audit improvement are facilitated, and students can quickly acquire aggregated content according to needs to form a structured review path.

The invention relates to an intelligent calculation center optical network optical path survivability-oriented air-ground cooperative unmanned aerial vehicle distributed optimization deployment method and system, and belongs to the technical field of optical communication network protection. The invention aims to solve the technical problems of long switching time delay, limited coverage and poor stability of a traditional single ground or air protection mechanism. According to the technical scheme, an air-ground cooperative protection architecture is constructed, and firstly, an integer linear programming model with the aim of minimizing the total cost of a system is established to carry out precise deployment optimization of unmanned aerial vehicle nodes; in order to improve the solving efficiency, a spectral clustering and K-means clustering-based heuristic algorithm is designed to realize rapid intelligent division of the unmanned aerial vehicle service domain; the deployed unmanned aerial vehicle cluster adopts a master-slave architecture and has a failover mechanism, and a temporary relay network can be quickly established when a ground optical path fails. According to the invention, the survivability and fault recovery efficiency of the optical network are effectively improved, and good balance between deployment cost and protection performance is realized.

The invention provides a business data feature sharing method and system based on machine learning, and the method comprises the steps: firstly obtaining a business link feature set of a talent service field, including a personnel core, post association and service process features, and a business demand description of a feature calling main body; then constructing a feature anchoring rule to perform association processing to obtain a feature anchoring result, inputting the feature anchoring result into a pre-training machine learning model to calculate a shared adaptation parameter, and constructing a shared execution link including feature extraction, processing and delivery nodes according to the shared adaptation parameter; and carrying out association mapping on the features output by the sharing execution link and a talent service business system of the feature calling main body, generating a feature sharing result containing a plurality of identifiers, and feeding back the feature sharing result to the business system to support business decision operation, thereby realizing efficient and accurate sharing of talent service business data features.

The disclosure provides a low-code informatization system and method and an ARM server, relates to the field of cloud services, and particularly relates to the field of ARM chips. A specific implementation scheme is as follows: the ARM server comprises at least one ARM board card, each ARM board card is deployed with a cloud platform, a technical component, a business middle station and an application front desk; a firewall is connected with the ARM server and is deployed with at least one security service product; and a user equipment accesses the ARM server through the firewall and is deployed with a low-code development tool. The implementation manner not only meets the demand of informatization construction for server computing power, but also greatly reduces the use cost and saves storage space compared with a server based on an X86 architecture under the condition of the same effect, and one-stop delivery of a traditional industry informatization system is realized.

The invention discloses an aviation ticket buying method and device based on network digital identity and a storage medium. The method comprises the following steps: in the process of detecting that a target user logs in a ticket buying server by using a target account, performing login authentication according to a digital identity authentication management platform and a digital identity management application; under the condition that the login authentication result is that the authentication is passed, ticket buying demand information sent by the target account is received, and target ticket business information is determined according to the ticket buying demand information; acquiring a network digital identity token of the target account, and performing identity authentication on the network digital identity token according to a pre-stored digital identity token in the ticket buying server; and generating a ticket buying order of the target account according to the target ticket business information and the network digital identity token under the condition that the identity authentication result is that the authentication is passed. According to the invention, the problem of low information security in the ticket buying process in the prior art is solved.

The invention relates to the technical field of wireless communication, and particularly discloses a zero-handshake transient connection establishment method and system based on an Auracast protocol, and the method comprises the steps: generating a composite signal containing a user space position vector and a one-time authorization token, generating a motion feature tag based on the position change, and activating directional scanning only when an approaching or staying intention is detected; a connection environment quality report is generated through multi-channel detection, and the channel congestion degree, the transmission delay and the signal strength are dynamically evaluated; meanwhile, according to the environment quality, a customized connection scheme is generated, an optimal channel and transmission parameters are automatically selected, and after an audio stream receiving service is established, through continuous monitoring of user position changes, instant disconnection is triggered when a departure intention is detected, and full-process automatic connection life cycle management is formed. The problem that the connection process in the public broadcast audio service field is lack of intelligence is effectively solved, automation of connection initiation is realized, and the connection efficiency and the user experience are remarkably improved.

The present application relates to the technical field of computers. Disclosed are a disaster recovery method and apparatus for an open virtual network control plane, and a product and a medium. The method comprises: configuring disaster recovery for an open virtual network control plane, so as to obtain at least two service domains, wherein each service domain comprises an open virtual network control plane, a network service component, and a database corresponding to the network service component; determining one service domain to be a primary service domain, and determining the remaining service domains to be backup service domains; by means of a synchronization server, controlling a data plane to be connected to the open virtual network control plane of the primary service domain; by means of the synchronization server, detecting whether the open virtual network control plane in the primary service domain operates normally; and if the open virtual network control plane in the primary service domain operates abnormally, activating the disaster recovery, using the original primary service domain as a backup service domain, selecting a target backup service domain from among all the backup service domains other than the original primary service domain, and using the target backup service domain as a new primary service domain. The service capability and fault-tolerance capability of an open virtual network are thus improved.

Methods, systems, and computer storage media for providing a cross-domain secure authentication engine in an item listing system are described. The cross-domain secure authentication engine is an advanced, modular system designed to handle user authentication seamlessly across different service domains, while ensuring security features and an adaptive user experience. In an item listing system, the cross-domain secure authentication engine operates based on a security-focused framework that streamlines user authentication across multiple domains without sacrificing user experience. It integrates a modal containing an iframe-based sign-in interface associated with a separate authentication domain and employs a postMessage API for cross-origin communication. Key features include dynamic modal resizing—adjusting the sign-in window to different authentication steps (like email, password, or OTP)—and parameterized iframes that remove unnecessary UI elements for a cleaner user experience. The cross-domain secure authentication engine also supports security measures and supports incremental, multi-step authentication flows to reduce user friction.

The invention relates to a data quality checking method and device based on graph embedding, and belongs to the technical field of computers.The method comprises the steps that service data nodes and service domain nodes are input into a graph embedding module to obtain service data node vectors and service domain node vectors respectively; inputting the business data node vector and the business domain node vector into a feature conversion module, performing feature extraction, and then outputting an updated business data node vector and an updated business domain node vector; and constructing an edge vector of the updated service data node vector and the service domain node vector through a node aggregation module, performing feature extraction and prediction based on the edge vector, outputting a prediction score of an edge existing in the service data node and the service domain node, and determining a check result of the service data according to the prediction score. According to the method and the device, the automatic quality check of the irregularly input data is realized, the labor cost is saved, and the accuracy and the credibility of the data quality check are improved.

The application provides a 200GE service data transmission method, a chip and a communication system based on a 224G high-speed SerDes, and the method comprises the following steps: a PCS sending module performs PCS sending processing on upstream data obtained, to obtain first PCS data; the PCS sending module sends the first PCS data to a PMA sending module according to a first PCS clock rate and a first PCS data bit width; a rate improvement module determines first clock information according to a first PMA data bit width, a first PMA clock rate, the first PCS clock rate, the first PCS data bit width and a set bandwidth, to improve the first PCS clock rate; the PCS sending module sends the first PCS data according to the first PMA data bit width and the improved first PCS clock rate; and the PMA sending module processes the first PCS data and sends first serial data. The application can be applied to the field of internet access and related services, avoids the alignment mark insertion process to improve the sending rate of the PCS layer, and accelerates link convergence and improves link stability by introducing a PMA state frame.

The invention provides a voyage announcement intelligent analysis method based on a large language model, and belongs to the field of aviation information technology and aviation intelligence service, and the method comprises the steps: obtaining a voyage announcement original message to be analyzed, processing the voyage announcement original message to be analyzed, obtaining an input vector, and obtaining a voyage announcement original message to be analyzed by using preset double encoders and bidirectional cross attention fusion in combination with a preset classifier; obtaining a prediction type label; obtaining configuration resources based on the navigation notification type, obtaining a target structured mode by using a preset synthesis function, and obtaining a type sensing cue word; performing entity-level structured analysis by using a large language model adapted to the aviation intelligence field to obtain a lightweight text format result, verifying the lightweight text format result to obtain a standardized entity-level structured result, and providing services for an external business system to complete intelligent analysis of the navigation announcement; the method is compatible with a unified entity-level modeling framework of multi-class announcements, a closed loop oriented to entity-level structured output is formed, and expansibility, robustness and auditing performance are improved.

The invention provides a communication quality evaluation method and a related device, and the method comprises the steps: analyzing a call interruption event according to business domain metadata, and determining a communication scene of a user in the call interruption event when the call is interrupted and a behavior mode of the user when the call is interrupted; determining a weight value of the call interruption event in communication quality evaluation according to the communication scene and the behavior pattern; according to the communication quality evaluation method and device, the communication scene of the user and the behavior mode of the user in the call interruption event are taken into consideration, the situation of call interruption caused by the communication quality factor is accurately discriminated, and the accuracy of evaluating the communication quality is improved.

The present application belongs to the technical field of jig management, and provides a self-adaptive communication protocol system and implementation method for industrial jig management, which comprises: a control box in communication connection with a jig and sensing components and / or executing components; a server in communication with the control box through an industrial network, for real-name data acquisition, permission closed-loop management, parameter change audit traceability. The communication message adopts a structured frame structure, including a frame start identifier, protocol negotiation information, a message identifier, a function code, an operator identity field, field description information, a variable-length service data payload, network address information, an integrity check field, and a frame end identifier. The function code uniquely indicates a service domain and a service operation type; the payload contains a self-description field. The server maintains a function code register and a field template, the field template defines a field identifier, a field type, a length rule, and optional attributes; the control box frames and sends according to the field template, and the server parses and returns a response message. The present application can solve the problems of data fragmentation, difficulty in real-time tracing, extensive permission control, and non-transparent parameter change in industrial field jig management.

The present disclosure provides a data query method, device and system based on a distributed database system, relating to the fields of big data and cloud services in the field of artificial intelligence technology, the method comprising: sending a first query task to a first working device storing a first table, the data query request being used to obtain to-be-queried data, the first query task being used to instruct to query an associated value corresponding to the data query request in the first table, receiving the associated value fed back by the first working device, and sending a second query task to a second working device storing a second table according to the associated value, the second query task being used to instruct to query feedback data corresponding to the associated value in the second table, receiving the feedback data sent by the second working device, determining and outputting the to-be-queried data according to the feedback data, thereby reducing the data scanning amount and improving the data query efficiency.

The invention discloses a resource consumption prediction method and device, equipment and a storage medium, which can be applied to the field of cloud services, and through the method, the future predicted resource quantity when a target cloud service is used in a future period can be predicted according to the resource consumption of a service use object during historical real use, and the resource consumption of the target cloud service can be predicted. And through a multi-model integration mode, the prediction model with a relatively good current prediction effect is selected for prediction during each prediction, so that the accuracy of the predicted resource consumption is improved. On one hand, a cloud service user can conveniently know the resource consumption of the cloud service user in a future time period, the cloud service user can be helped to deploy services, or the predicted future predicted resource quantity can be used as a data basis of downstream applications. And on the other hand, by predicting the resource consumption in the future time period, the cloud service provider can be assisted to know the use condition of each cloud service product in real time, and a data basis is provided for the cloud service provider to perform product planning, decision making and the like.

[0009] An embodiment of the present application provides a communication method and a communication device. The method includes a step in which a second network function network element receives a service request message from a first network function network element and determines whether to provide a service to the first network function network element based on a first token. The service request message is used to request the second network function network element to provide a service to the first network function network element, and the service request message includes a first token and second service domain information, where the second service domain information indicates a service area of ​​the service requested by the first network function network element, and the first token includes the first service domain information, where the first service domain information indicates a service area range in which the first network function network element can obtain the service from the second network function network element. In the solution of the present application, the first service domain information is added to the first token to reduce or prevent the first network function network element from accessing the service without authorization, thereby ensuring network security.

The application discloses a construction method and system of a pre-training dialogue large language model in the field of enterprise services, and relates to the technical field of artificial intelligence. In the method, a preset base model is subjected to semantic prediction training based on an enterprise information dataset to obtain a first semantic prediction model; the first semantic prediction model is fine-tuned based on a preset instruction set in the field of enterprise services to obtain a second semantic prediction model; the second semantic prediction model is trained based on a preset question and answer score dataset to obtain a reward model; the second semantic prediction model is taken as a policy network of a reinforcement learning algorithm, the reward model is taken as a value network of the reinforcement learning algorithm, and a time difference error is calculated based on the policy network and the value network, and the parameters of the policy network are updated to obtain a pre-training dialogue large language model. The technical scheme provided by the application can improve the accuracy and naturalness of a model in answering questions in the process of constructing a question and answer model in the field of enterprise services.

The invention discloses a task selection unloading method and system based on an edge computing server, and belongs to the field of edge services. The method and the device are applied to an edge computing server, mobile information and panoramic visual data of a robot cluster are acquired, and the visual data are analyzed by using a dense optical flow field to generate a congestion grating map for quantifying physical congestion risks. A task offload request including a task calculation load and an aging demand level is received and a network quality index and a task priority are calculated based on the congestion map and the robot path. Carrying out value sorting on the tasks according to the aging demand levels and the priorities, carrying out risk adjustment on calculation loads of the tasks by utilizing network quality indexes, and determining an unloading task set in the sorted tasks according to the adjusted loads and available resources of the tasks, and sending the unloading task set to the Leader node so as to receive the unloading task after the robot cluster reaches the cooperative consensus. According to the application, the cooperative operation efficiency of the robot cluster can be improved.

The invention provides an Ai-based medical and invasive service method and platform, electronic equipment and a storage medium, and relates to the field of medical and invasive services. According to the AI-based medical and invasive service method and platform, the electronic equipment and the storage medium, an interconnected and intercommunicated knowledge graph is constructed through multi-source heterogeneous medical and invasive data collection and fusion; accurate resource matching is realized in combination with the dynamic demand portrait, the model is continuously optimized by using a feedback mechanism, and the method has the advantages of integrating multi-source heterogeneous data, dynamically sensing user demands, generating an intelligent decision scheme and continuously learning and optimizing.

The invention relates to a service bus design and implementation method based on a micro-service architecture, and belongs to the field of micro-services. According to the invention, load balancing and regularized forwarding are supported through the dynamic routing module, the centralized bottleneck is avoided, and the routing efficiency can be effectively improved and the request forwarding delay can be reduced by combining the real-time updating of the service registration center and the dynamic capacity expansion and shrinkage of the adaptive micro-service; the functions of fusing, degrading, current limiting and gray release are integrated, dependence on a third-party component is not needed, the system complexity is reduced, and the service iteration period is shortened; and calling chain tracking is realized based on Trace ID, and log and index analysis is combined, so that the fault positioning time is shortened from an hour level to a minute level, and the operation and maintenance efficiency is remarkably improved.

The invention discloses a smart airport operation system construction method based on a 5G customized network, and relates to the technical field of airport scene operation management. The construction method of the smart airport operation system based on the 5G customized network comprises the following steps: S1, collecting smart airport operation environment data, preprocessing and storing the data, and constructing an airport situation event database; s2, constructing a multi-service communication channel through network slice configuration and an access mapping relation; s3, the edge side generates an edge intermediate result packet based on the unified data stream, and the cloud side constructs a unified event time axis according to the consistency judgment matrix; s4, performing time semantic connection analysis through edge intermediate result packet data; s5, cross-business domain fusion is carried out through the event timeline and the situation object data; and S6, performing disposal admission judgment based on the global operation situation data. The problems of non-uniform operation situation and lack of continuous basis for resource scheduling caused by inconsistent time semantics when the airport operation edge side events are converged at the cloud side are solved.

The invention relates to the technical field of artificial intelligence, the field of financial services and the field of medical services, in particular to a big data access control method and device, equipment and a medium. According to the method, access information is analyzed, a first target command is subjected to trust identification, and when it is detected that the trust identification result of any access command is trust, the access command is executed to access a target database. The method can be applied to the business fields of financial services, medical services and the like, the access command is determined by analyzing the access information, if the access command is the first target command, the equipment and network information of the login equipment is acquired, trust identification is performed on the first target command in combination with the access trust library, and all the access commands are detected through the access engine. And executing the command to access the target database when the trust identification result is trust. And analyzing according to the role information of the user in combination with the access information to access the target database according to the trust identification result.

The disclosure pertains to the field of data analysis and services, specifically to an online inference method, service system, and device based on an artificial intelligence geospatial data cube. The method involves constructing a cube organizational model based on a spatiotemporal grid, where the cube organizes and manages geospatial data and GeoAI models in a unified manner. It performs task-oriented model matching through a combination of explicit and implicit matching, where explicit matching converts user inference requests into multidimensional query conditions to retrieve candidate models, and implicit matching determines the optimal model by computing the feature similarity between inference data tiles and candidate models. Based on a distributed inference framework, an efficient inference workflow is executed in parallel across multiple computing nodes. The disclosure aims to address the limitations of existing technologies in multi-scenarios or large-scale spatial scenarios, such as low inference accuracy and slow inference speed.