267 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 digital intelligent service system for enterprise services, which belongs to the field of enterprise digital services and comprises a user demand analysis module, an intelligent data adaptation module, a service resource matching module, a service efficiency evaluation module and a user-friendly interface. The user demand analysis module is used for semantic analysis and classification decision making; the intelligent data adaptation module identifies and analyzes the protocol type, and establishes an intelligent data transmission channel; the service resource matching module carries out resource pre-screening and accurate matching; the service efficiency evaluation module tracks an identifier and captures a four-dimensional index system in real time, and the dynamic evaluation unit realizes service state grading early warning through a sliding window algorithm; according to the invention, accurate demand identification is realized, the response speed and the data transmission efficiency are improved, the user satisfaction is improved, the service matching accuracy is enhanced, the resource utilization efficiency is optimized, the service capability and the customer experience are improved, and maximization of economic benefits and social values is realized.

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 provides a business modeling method, medium and system based on an enterprise data asset management platform, and belongs to the technical field of modeling methods.The business modeling method based on the enterprise data asset management platform comprises the following steps that an enterprise data asset catalog is read to generate a data asset list, the method comprises the steps of extracting a foreign key association relationship between data tables to construct an initial entity relationship table, calculating reference frequencies between the data tables to generate an entity association degree matrix, dividing a service domain by adopting a K-means clustering algorithm, counting data table fields in the service domain to generate a data table field mapping table, recording a data table operation sequence to construct a data table operation link diagram, and establishing a data table operation link diagram. The method comprises the following steps: generating a data table node evaluation matrix, dividing sub-domains and determining a core entity, and constructing and training a multilayer neural network model for constructing business affiliation, data table incidence relation and business interface definition of a new data table, so as to solve the defects in the aspects of data asset relation discovery, business modeling automation, service interface generation and the like in the prior art.

The invention discloses an electricity customer credit rating management method and system based on a differentiated service strategy, particularly relates to the field of energy service, and solves the problem of cold start user credit evaluation deviation and power service resource dynamic adaptation optimization. Seamless migration of credit scoring parameters and smooth transition of user portraits are realized by introducing multi-dimensional feature similarity analysis of virtual data and real data and a time-driven weight attenuation strategy, and continuity and adaptive optimization capability of an evaluation system are ensured; meanwhile, an intelligent service matching network is constructed based on the credit rating updated in real time, and a closed-loop service management and control system driven by data feedback is formed by dynamically adjusting a prepayment mode threshold value and an electric charge overdraft elastic interval strategy, so that the credit value of a user is deeply associated with the power resource configuration efficiency, and the user experience is improved. The operation risk and the service cost of a power grid enterprise are reduced, and finally collaborative optimization ecology considering energy safety management and user behavior guidance is established.

The invention relates to the technical field of electronic warrants, and particularly discloses an intelligent electronic warrant service management system based on the Internet, and the system comprises a limit regulation and control module which is used for determining and regulating and controlling the issuing limit of an electronic warrant based on the credit rating and historical transaction data analysis of a user; the warranty verification module is used for verifying the credibility of the warranty file under the issuing limit in real time according to the block chain distributed account book; the permission adjusting module is used for adjusting the security permission level of the access platform in real time according to the multi-factor dynamic authentication information of the user; and the guarantee fund adjustment module is used for predicting the future fund risk openness based on the big data analysis model and adjusting the fulfillment guarantee fund amount of the electronic warrant of the user. According to the invention, the effectiveness and safety of electronic warrant management are improved from different levels, and the digital transformation of the financial service field is promoted.

The invention relates to the technical field of computing power networks, and provides a computing power network resource scheduling method, system and device and a storage medium, and the method comprises the steps: determining computing power resource demand information according to a first computing power service request; and according to the computing power resource demand information and the network state information, determining a target computing node, a first link path and a first resource allocation strategy based on the minimum service time delay and the link load balance degree. The first computing power service request is allocated to the target computing power service domain after being subjected to computing power resource type matching, the solution space is effectively reduced, the complexity of obtaining an optimal or approximately optimal solution in the solution space is reduced, the resource scheduling efficiency is improved, each computing node serving as an intelligent agent can independently make a resource scheduling decision, the computing power service request is responded in time, and the resource scheduling efficiency is improved. The resource scheduling processing duration is shortened, the real-time processing capability is enhanced, the resource scheduling decision is determined based on the principle of minimizing the service and the link load balance degree, and the resource utilization rate is improved.

The invention provides a cross-end servitization framework implementation method and device, electronic equipment and a storage medium. The method comprises the following steps of: dividing a service function of an application program into a plurality of plug-in type service modules according to a service domain, wherein each service module carries a plug-in description file for identifying a dependency relationship and version information; abstracting preset system functions into a system service interface set; establishing a service locator container, statically registering a core business module and a native implementation of a system service interface matched with the current operation platform; when it is detected that the to-be-called service module is not loaded, the plug-in manager downloads a corresponding plug-in package according to the plug-in description file; and analyzing the theme mark set based on the identifier and the system display mode in an interface rendering stage, generating interface style data, and providing the interface style data to a service module for interface rendering. Uniform system service interface abstraction can be achieved, interface version consistency and type safety are improved, and on-demand downloading and hot plug loading of the service modules are supported.

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.

Methods, system and apparatus are provided to perform network slice admission control within a service area of an operator network and across service areas of the operator network. A central Network Slice Admission Control Function (NSACF) supporting multiple service areas of at least one operator network receives an admission request from a network function (e.g., AMF, SMF or SMF+PGW-C) belonging to a service area of an operator network. The admission request includes information identifying the service area and may include an identifier of the network operator. The central NSACF performs network slice admission control based on whether the UE is newly admitted to the network slice in the service area or whether the UE has already been admitted in a different service area.

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 embodiment of the invention provides a multi-model cooperative service method and device, equipment and a storage medium, and relates to the field of model services. The method comprises the steps of inputting current question data in a target dialogue into a task difficulty judgment large model, and performing difficulty analysis on the current question data based on historical question data of the target dialogue to obtain task difficulty; performing performance matching in at least one task processing model according to the task difficulty to obtain a target task processing model, then sending the current question data to the target task processing model for content generation to obtain answer data, and obtaining a feedback result corresponding to the answer data, and obtaining an output result for the current question data based on the feedback result and the answer data. And analyzing the current task difficulty in combination with historical question data in the dialogue, and identifying the real calculation demand of the question. According to a task difficulty dynamic matching model evaluated in real time, low-end and high-end computing power chips are used, and the resource utilization rate is maximized on the premise that the service quality is guaranteed.

The invention discloses a server alarm method, electronic equipment, a storage medium and a computer program product. The method belongs to the field of civil aviation services and comprises the steps that a query data table and an alarm rule of a server are obtained, the query data table is used for storing query data which is generated when the server runs and can affect the running state of the server, and the alarm rule is used for determining whether the server can run normally or not; matching the query data stored in the query data table with the alarm rule to obtain a rule matching result; in response to the fact that the rule matching result is that the target data stored in the query data table is abnormal, server alarm information is generated based on the target data; and outputting server alarm information. According to the method and the device, the technical problem of relatively low operation and maintenance efficiency of the server in related technologies is solved.

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 heterogeneous data fusion method for optimizing inter-satellite switching of a low earth orbit satellite network, and the method comprises the steps: collecting multi-source heterogeneous data, including physical domain data, service domain data and environment domain data, in the low earth orbit satellite network in real time, and carrying out the feature extraction through different modal encoders; mapping each modal feature to a unified dimension through a learnable projection matrix, and generating an aligned multi-source data feature matrix; constructing a dynamic graph structure; in combination with the learnable shared token and a multi-head attention mechanism, generating shared token features, and broadcasting the shared token features to all nodes and adding the shared token features to the original node features to obtain fused node features; and enhancing time sequence dependence modeling by using a time convolutional network, and outputting a space-time fusion feature matrix. Through the innovative design of the technical architecture, the full-process optimization of multi-source heterogeneous data from acquisition, coding to fusion is realized, and then the real-time performance and reliability of inter-satellite switching decision are improved.

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.

The invention relates to a lightweight flow switching and running accompanying system and a running accompanying method thereof, and belongs to the field of financial services, the lightweight flow switching and running accompanying system comprises a service front-end module used for intercepting and distributing flow and dynamically adjusting flow distribution according to a system state; the service front running accompanying module is used for consuming the MQ message pushed by the service front, calling the new system module for running accompanying and comparing the difference between the new system module and the old system module; the old system module is used for undertaking the old accounting system function; the new system module is used as a target system for accompanying running and is used for receiving calling of the service front-end accompanying running module so as to trigger a new accounting system; and the difference recording and solving module is used for recording the accounting difference found in the accompanying running process, storing the difference information in a library, and providing difference analysis for marking comparison failure. The method has the advantages that service non-perception switching is achieved, seamless switching between a new core system and an old core system is achieved through the flow interception and distribution function of the service front-end system, and the service does not need to perceive the upgrading process.

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 invention discloses an information technology service consultation platform based on intelligent software, which is characterized in that when keywords of a user consultation text are extracted, the user consultation text and semantic information of each word in the text are introduced into a weight iteration optimization processing flow of each node in a word graph model; according to the method, a user consultation text and semantic information of words in the text are utilized to allocate the restart probability and the edge weight of each node, so that a word graph model can be combined with semantic features of the text and the words to extract keywords; on the basis, the accuracy of keyword extraction can be improved, so that the accuracy of subsequent keyword-based information consultation retrieval matching is ensured; therefore, compared with manual service, the information consultation efficiency is improved, and compared with a traditional intelligent consultation system, the accuracy and reliability of an information consultation result are greatly improved, so that the system is very suitable for large-scale application and popularization in the field of information consultation service.

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.