210 results about "Service domain" patented technology

The invention relates to the technical field of semantic analysis, can be applied to business scenes in the fields of medical health, financial science and technology, intelligent interactive service and the like, and discloses a business service processing method based on dialogue recognition, which comprises the following steps: performing semantic analysis on current dialogue content, determining a key problem type, and obtaining a business processing record of a dialogue subject; under the condition that the service processing problem type is identified, obtaining a target operation record in combination with problem occurrence time and a current time interval, constructing a user operation behavior track based on an interface interaction event in the target operation record, and identifying a deviation node in the track; and generating a business processing exception report, matching the target service item in the service resource library according to the service demand keyword and the business processing record, and outputting operation guidance information. By fusing dialogue semantic analysis and user behavior trajectory modeling, automatic identification and accurate service recommendation of customer problems are realized, and the business processing efficiency and the service intelligence level are improved.

The invention discloses a data processing method and device, equipment and a medium. The method comprises the steps that a detection threshold value is determined based on a first access traffic log; determining an access behavior for the service domain name based on the number of domain name requests determined by the access traffic indicated by the second access traffic log and a detection threshold; when the access behavior aiming at the service domain name belongs to the abnormal access behavior, taking a behavior determination time point corresponding to the abnormal access behavior as a critical time point, and taking a third access traffic log obtained based on the critical time point as an abnormal access traffic log; when a normal traffic feature determined based on the first access traffic log is obtained, determining an abnormal traffic feature of the service domain name based on the abnormal access traffic log, and performing feature comparison on the abnormal traffic feature and the normal traffic feature to obtain an attack feature of the service domain name; a protection policy for the service domain name is determined based on the attack feature. According to the invention, the security and stability of the business server can be maintained.

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.

This invention discloses a method, system, and storage medium for constructing a knowledge graph in the civil aviation service field. The method includes: S1, using a BERT-BiLSTM-CRF algorithm model to extract entities and obtain interrelated entity vector sequences, feature vector sequences, and annotation sequences; S2, using a convolutional neural network model to extract sentence vectors and their contained entity vectors, and employing n filters to identify and extract a database of entity-relationship-entity triples; S3, using a conditional random field entity node integration model to integrate the annotation information and store it in the corresponding entities as entity attribute values; S4, using the triple database and the integrated entity attribute values ​​to link and fuse them to construct a civil aviation knowledge graph. This invention can obtain a comprehensive and accurate civil aviation knowledge graph of entity relationships based on a civil aviation knowledge text database. It can not only satisfy passenger knowledge question answering and querying needs but also serve as a training and educational resource, improving the overall service level.

The invention provides an industrial policy information service system and method based on intelligent analysis, and belongs to the technical field of intelligent analysis, and the system comprises a preprocessing module which is used for obtaining and preprocessing multi-source policy data; the character distribution analysis module is used for screening the standardized policy data set to obtain service characters and determining a distribution array; the first coding module is used for mining characters of the same type from three dimensions of semantics, logic and time, and performing first coding on the characters of the same type by adopting a four-layer coding mechanism; the second coding module is used for extracting an iteration sequence of characters of the same type under historical publication of the service field and generating a second code; the mapping analysis module is used for establishing a mapping relation based on the distribution array, the first code and the second code; and the updating module is used for acquiring the policy docking effect data and the demand change data for updating. A virtuous cycle of policy-enterprise two-way enabling is formed, and pertinence and timeliness of policy service are guaranteed.

The business travel service management method based on the LLM is applied to a service system constructed based on the LLM. Services provided by the service system for users comprise a plurality of service fields; the service system manages a plurality of service models in one-to-one correspondence with a plurality of service fields; comprising the following steps: receiving a user question related to business travel service input by a user; retrieving target structured knowledge from a target sub-knowledge base related to the user questions in a plurality of sub-knowledge bases in one-to-one correspondence with the plurality of service fields, and acquiring historical context information from historical user questions input by the user; generating a cue word based on the user question, the target structured knowledge and the historical context information, and inputting the cue word to an LLM, so that the LLM generates structured intention description information based on the cue word; and analyzing the intention description information, determining a target service field corresponding to the user intention, and distributing the user question to a target service model corresponding to the target service field.

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 embodiments of the present application provide a multi-model collaborative service method, apparatus, device and storage medium, which relate to the field of model services. The method inputs the current question data in the target dialogue into a large model for judging the difficulty of the task, and performs difficulty analysis on the current question data based on the historical question data of the target dialogue to obtain the task difficulty. According to the task difficulty, performance matching is performed in at least one task processing model to obtain the target task processing model, and then the current question data is sent to the target task processing model for content generation to obtain answer data, and the feedback result corresponding to the answer data is obtained, and the output result for the current question data is obtained based on the feedback result and the answer data. The current task difficulty is analyzed in combination with the historical question data in the dialogue to identify the real computing requirements of the problem. According to the dynamic matching model of the task difficulty evaluated in real time, both low-end and high-end computing chips are used to maximize resource utilization while ensuring the quality of service.

The invention discloses a hotel online reservation service system based on Internet data intelligent service and an intelligent terminal, and belongs to the field of hotel reservation service. The hotel online reservation service system based on the Internet data intelligent service comprises a reservation management module, a guest room management module and a customer information management module. The method solves a problem that the customer distribution efficiency is affected because reasonable distribution cannot be carried out according to demands of different customers in the prior art, can automatically distribute hotel guest rooms according to customer preference factors, reduces manual communication errors, ensures that the check-in experience accords with expectations, improves the service response speed, improves the utilization rate and the room distribution efficiency, and improves the user experience. By evaluating the running state of the equipment of the hotel guest room, potential faults can be found in advance, the maintenance process can be automatically triggered, the situation that guests encounter equipment faults when checking in is avoided, the satisfaction degree is improved, the situation that the hotel guest room is temporarily non-sold due to sudden faults is avoided by eliminating equipment hidden dangers in advance, and the room resource utilization rate is improved.

The invention relates to the field of intelligent dialogue technology and government affair service, in particular to a government affair service method and system for processing intelligent dialogue based on multi-modal semantic information, comprising the following steps: a) multi-modal data acquisition, b) data preprocessing, c) deep learning tree construction, d) multi-modal fusion and semantic understanding, e) intelligent dialogue generation, and f) feedback circulation and optimization. The system can comprehensively capture the input of the user by integrating information of various modes such as texts, voices and images, richer information sources are provided, efficient feature extraction is realized, feature extraction is performed on data of each mode by using a deep learning algorithm (such as a convolutional neural network and a recurrent neural network), and the feature extraction efficiency is improved; the deep learning model can perform deep semantic understanding on the multi-modal feature representation, the accurate semantic vector is generated, and the accuracy and the naturalness of the dialogue are improved.

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 embodiment of the invention provides a micro-service calling method and device and a micro-service configuration method and device. The method comprises the steps of determining a to-be-called target remote micro-service based on a current service request; determining a service domain name corresponding to the target remote micro-service according to a domain name mapping rule in the local micro-service; wherein the service domain name is a domain name for accessing the target remote micro-service; the domain name mapping rule comprises a mapping rule when the target remote micro-service configures a service domain name; and calling the target remote micro-service through the service domain name and the current service request. According to the technical scheme provided by the embodiment of the invention, the local micro-service can directly access the target remote micro-service through the service domain name without adopting a registration center discovery mechanism, so that the situation that the remote micro-service cannot be called due to network blockage between the local micro-service and the registration center is avoided.

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 the technical field of communication, and particularly provides a physically isolated network forward proxy method and device and a storage medium, a user domain deploys a Squid cascade proxy to receive a browser request, a rear TCP service node encapsulates traffic into a file, and the file is unidirectionally transmitted to a service domain through a gatekeeper. And after the service domain TCP client parses the file, the file is routed to the target service through the Squid forward proxy, so that safe cross-domain communication is realized. According to the invention, a forward proxy scheme in a network isolation environment is realized.

Disclosed in the present application are a vehicle communication method and system, a vehicle and a computer-readable storage medium. The vehicle communication method comprises: creating a unified service layer interface, the service layer interface being used for communications within each domain controller in a service domain, communications between a plurality of domain controllers in the service domain, and communications between each domain controller in the service domain and a signal domain; by means of the service layer interface, receiving a service request sent by an initiation application in a request domain controller; if the service request is an intra-service-domain request, creating intra-domain communications between the initiation application and a first receiving application in the request domain controller; if the service request is an inter-service-domain request, creating inter-domain communications between the initiation application and a second receiving application in a receiving domain controller corresponding to the request domain controller; and, if the service request is a cross-domain request, creating cross-domain communications between the initiation application and the signal domain. The present application improves communication efficiency and stability.

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 present disclosure provides a network isolation method, device, electronic device and storage medium for a cloud phone, and relates to the field of computer technology, in particular to the field of cloud services. The method is executed by a cloud phone management platform, and includes: obtaining a network isolation task for a target cloud device, querying a target isolation service, a target isolation script, a target configuration file template and a target isolation policy that match the target cloud device from a database; wherein the target cloud device includes a virtual machine for providing cloud phone business services; adding the target isolation policy to the target configuration file template to obtain a target configuration file; generating an isolation task script based on the target isolation service, the target isolation script and the target configuration file; and sending the isolation task script to the target cloud device, so that the target cloud device performs network isolation according to the isolation task script.

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 invention provides a smart classroom Internet of Things system, a service method, equipment and a storage medium, a sensing layer, an application layer and a network layer are arranged, the sensing layer comprises a sensing control domain and a physical entity domain, and the sensing control domain is in communication connection with the physical entity domain; the application layer comprises a user domain and an application service domain, and the user domain is in communication connection with the application service domain; the application service domain and the perception control domain are in communication connection based on a network layer; wherein the user domain is used for sending a target service request to the application service domain; the physical entity domain is used for collecting classroom data of a classroom in real time; the sensing control domain is used for generating a classroom analysis result based on the classroom data; and the application service domain is used for dynamically generating a personalized teaching strategy and / or an environment regulation and control scheme according to the target service request and the classroom analysis result, so that the system structure of the smart classroom Internet of Things application system can be effectively adapted, and the formation of the smart classroom Internet of Things application ecological system is promoted.

The present invention belongs to the field of meteorological services, and specifically provides a meteorological grid algorithm access assessment method, system and device, the method comprising: S1, completing the splitting and registration of the API algorithm according to the algorithm splitting rules; S2, using the asynchronous event response flow technology designed based on the observer pattern, and freely arranging the algorithm in series and parallel to form a new task according to the business logic; S3, evaluating the registered API algorithm according to the assessment model. The technology of obtaining heterogeneous database data sources based on visual configuration in the present invention solves the user's learning pressure on the new database. Ordinary users can obtain data without directly connecting to the database, avoiding the problem of too many connections affecting the normal production performance of the business database during high concurrent requests; using mirrored container deployment, the server automatically scales the capacity according to the user's long SQL, CPU and memory usage, which helps to improve the performance of the entire cluster.

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.