70 results about "Service adaptation" patented technology

The invention relates to the technical field of intelligent customer service control, and discloses a federated learning driven customer service robot cooperative control method and system. The method comprises the following steps: deploying a local intention recognition model at a plurality of nodes, collecting a user dialogue stream, extracting a semantic behavior track fragment, and generating a behavior feature vector set containing a time sequence and context association; the federal cooperative controller performs periodic aggregation, constructs a cross-node feature alignment mapping table based on trajectory similarity, and generates a global behavior feature distribution map; calculating node feature offset, screening high-contribution-degree nodes in combination with a sparse activation threshold, and allocating aggregation tasks; a knowledge distillation compression model is used at the high-contribution-degree nodes, weight updating parameters are extracted, compensation coefficients are added, and an encrypted updating package is generated; and the federal cooperative controller carries out heterogeneous fusion on the encrypted packet, reconstructs a global intention decision tree and carries out segmentation and distribution, so that efficient cooperation and optimization are realized, and privacy protection and service adaptability are considered.

The invention belongs to the technical field of computers, and particularly relates to an information integration management method and system supporting real-time updating, and the method comprises the steps: accessing a heterogeneous data source through a distributed gateway, carrying out the adaptive analysis of a protocol, and standardizing a structure; adding a millisecond timestamp and a unique identifier, and generating a semantic data cluster through streaming engine sliding window association analysis; after multi-dimensional consistency verification is executed, writing and storing are carried out by adopting a double-buffering and snapshot isolation mechanism; and dynamically assembling the customized view according to the user role and the context and safely returning the customized view. The system correspondingly comprises a protocol analysis module, a time sequence marking module, a streaming association module, a semantic verification module, a double-buffer control module, an index updating module, a view assembling module and a secure transmission module. According to the invention, millisecond-level real-time convergence, conflict-free fusion and on-demand view output are realized, and the data access flexibility, the quality guarantee capability and the service adaptation flexibility are comprehensively improved.

The invention discloses a business-adaptive RAG knowledge base rapid question and answer implementation method, relates to the technical field of natural language processing and knowledge base retrieval, and realizes deep fusion and accurate context extraction of fragmented and structured business knowledge by constructing a business enhanced knowledge base and executing multi-stage dynamic retrieval. When an original business document is subjected to intelligent structured analysis and segmentation, a link business entity is identified, rich business attribute metadata is marked, in the process, an unstructured text is converted into an enhanced knowledge fragment carrying clear business semantics, a semantic vector is generated through an embedded model, and on the basis, the semantic vector is subjected to semantic segmentation; according to the method, rapid preliminary screening based on keywords and metadata, fine arrangement based on semantic vectors and association expansion based on a business knowledge graph are sequentially executed, the progressive retrieval strategy ensures that retrieval results are highly related to business contexts, and the accuracy of generated answers is improved.

The invention discloses a multi-link fusion service adaptive dynamic selection method based on link state prediction. The method comprises the following steps: acquiring link data of a multi-source heterogeneous communication link through a distributed probe; inputting the link data into a multi-factor arbitration engine to obtain a link discrimination result; wherein the multi-factor arbitration engine comprises a factor weight interlayer and a prediction model module; the factor weight interlayer is used for calculating a link score of a corresponding link when the multi-source heterogeneous communication link is in a stationary state; the prediction model module is used for outputting a quality prediction result of the multi-source heterogeneous communication link when the multi-source heterogeneous communication link is in a fluctuation state; the link discrimination result is obtained according to a link score or a quality prediction result; and selecting a communication link for transmission according to the link discrimination result. The method has better compatibility, ensures instant acquisition and analysis of link state data, reduces information lag, and is more fit for service transmission characteristics, and the quality prediction result can reserve sufficient time for switching links.

The invention provides a framework migration method and system for a heterogeneous micro-service architecture, and relates to the technical field of micro-service architecture.The framework migration method comprises the steps that migration priorities are determined through topological sorting based on service calling features, a unified service interface description file is generated, a link tracking probe is injected, and service adaptation layer codes are generated; flow control is carried out in combination with a variation gradient token bucket algorithm, and service fusing and degradation are realized by adopting an exponential backoff algorithm and a sliding time window mechanism. According to the method, the problems of complex service dependence, difficulty in flow regulation and control and the like in heterogeneous architecture migration are solved, the security and stability of framework migration are improved, and the operation and maintenance cost of the system is reduced.

The invention discloses an oil and gas field three-dimensional visualization system based on digital twinning, and relates to the technical field of digital twinning, and the system comprises the following steps: S1, integrating GIS, BIM, IoT and GD multi-source data, and constructing a unified ground object entity data set; s2, carrying out sensor, camera and positioning beacon data fusion by using the ground object entity data set; s3, carrying out business system data integration and three-dimensional scene modeling by using the ground object dynamic state calibration set; s4, performing multifunctional application system development by using the three-dimensional scene business linkage model; s5, realizing efficient cloud management and redundant backup in combination with a SpringBoot distributed architecture; by setting a ground object dynamic state calibration model, a service system linkage model and a three-dimensional entity management model, multi-dimensional fusion modeling can be performed on geometric features, state parameters and service features of all ground objects in an oil and gas field, and the real-time performance and service adaptation capability of a three-dimensional visualization system are remarkably improved.

The invention relates to the technical field of intelligent travel terminals, and discloses a multi-protocol compatible intelligent travel terminal AI service self-adaption method. The method comprises the steps of firstly collecting travel service request data in a multi-protocol environment, then constructing a multi-protocol adaptation model through dynamic protocol conversion middleware, and unifying heterogeneous protocol requests; and dynamically allocating service resources by adopting a reinforcement learning framework, predicting user travel demands based on a hidden Markov model, and adjusting service recommendation priorities. And constructing a multi-modal interaction adaptation engine to fuse the multi-modal features to generate a unified service response. In addition, the system is also provided with a protocol compatibility verification module, a service priority dynamic scheduling algorithm, a federated learning driven user preference updating model and a fault-tolerant protocol adaptation engine. According to the invention, the AI service adaptation capability of the intelligent travel terminal in a multi-protocol environment is improved, the resource allocation is optimized, the user demand prediction accuracy and the interaction experience are improved, and the reliability and the fault tolerance of the system are enhanced.

The invention discloses a quantum secure power trusted WLAN communication system, method and device, and a storage medium, and the system comprises a quantum wireless terminal QSTA which is used for bearing a power service to access the quantum trusted WLAN communication system; the quantum wireless access point QAP is used for providing wireless communication access service for the QSTA and is connected with the quantum key service platform and the service master station through a wired channel; the quantum authentication server QAS is connected with the quantum random number generator through an Ethernet port to realize certificate management and authentication of the QSTA and the QAP; the quantum random number generator provides quantum random numbers for the QAS for quantum digital certificate signature verification; the quantum key service platform is used for providing a preset charging quantum key and an online key distribution service for the QSTA and the QAP; according to the invention, the random number strength, the key negotiation security and the dynamic service adaptation capability can be improved.

The invention provides a scene recognition and value-added service adaptation system and method based on a 5G new call, and aims to improve the intelligence and automation level of the 5G call. The system comprises a service control processing module, a service function intelligent selection module, a voice media processing module, a video media processing module, an AI intelligent identification module, a user interface module and an RTP processing module. User behaviors and call content are analyzed through the AI technology, and the system can automatically recognize call scenes and intelligently select corresponding value-added services such as real-time translation, voice transcription and virtual background. The user interface module optimizes scene recognition and automatic switching functions, provides a value-added service control panel and personalized setting, supports voice instruction operation, and realizes efficient interaction between a user and the system. The system can seamlessly integrate the value-added service into the call media stream, dynamically adjust the service to adapt to the change of the call scene, and continuously optimize the call experience of the user.

The invention provides a security defense method and device for a large business model. The method comprises the steps of obtaining a first query set; performing service adaptation processing on the first query set to obtain a second query set, and dividing the second query set into a training set and a test set; based on the training set, performing multi-round iterative updating on the attack database and the defense database; based on the test set, performing pruning processing on the defense database after multiple rounds of iteration updating to obtain a pruned defense database; in response to a to-be-processed query instruction, determining a classification tag corresponding to the to-be-processed query instruction, and extracting a defense example corresponding to the classification tag from the pruned defense database; and generating a cue word based on the to-be-processed query instruction, the classification tag and the defense example, and inputting the cue word into the business large model, so that the business large model outputs a business data query result. According to the method and the device, efficient defense in actual business scenes such as business query can be realized.

The invention provides a Kafka-based integrated order message sorting method and system, an electronic device and a storage medium, and aims to solve the problem that messages in different partitions of Kafka messages may be sent and received out of order, so that the priority of an integrated order cannot be considered in-topic or cross-topic sequencing. The method comprises the following steps: receiving an integrated order and a topic adapted to a collection service; constructing a Kafka priority queue model and a service lock model; and combining a Kafka priority queue with a service lock strategy, establishing a message processing transmission strategy considering priority and sorting, solving a multi-objective optimization problem, generating a message control mechanism according to a solving result, and distributing an integrated order message. According to the method and the device, the priority of the Kafka message can be realized, the in-topic or cross-topic sequence is considered, and the balance among the priority, the service sequence, the service growth and the system performance is obtained.

The invention provides a document conversion service stability optimization method and system based on artificial intelligence, and the method comprises the steps: obtaining a real-time operation state data set containing service process operation data, resource occupation data and conversion task processing data, and obtaining a service operation state feature set through feature extraction; calling a pre-trained service exception tracing module to identify an exception mode, generating a result containing an exception type identifier and an exception association feature, calling a corresponding service adaptation model based on the result, adjusting parameters, generating a service stability regulation and control strategy, inputting the strategy into an execution control module for execution, and obtaining a service operation parameter adjustment result; finally, the training sample set of the service adaptation model is updated according to the adjustment result, and an optimized service adaptation model is generated through iterative optimization. Through multi-link cooperation, comprehensive optimization of the stability of the document conversion service is achieved, and the service performance and reliability are improved.

The invention discloses a visual big data task development method and system, and the method comprises the steps: dividing a big data platform into a visual task editing module, a basic operator module, an AI auxiliary creation module and the like through modular design, providing a drag-and-drop graphical interface and a preset operator library, and enabling non-technical personnel to rapidly construct an Flink task process. The AI assistant supports natural language interaction, automatically generates a task and recommends an execution scheme, and realizes fault detection and resource scheduling in combination with an intelligent operation and maintenance system. The system further has the functions of online debugging, multi-cluster management, user-defined operator hot loading and the like, and resource allocation is optimized based on a parallelism degree automatic adjustment formula and a memory calculation model. According to the method, the problems of high technical threshold, high development cost, high operation and maintenance difficulty and difficult service adaptation in traditional enterprise digital transformation are solved, the development period can be shortened by more than 70%, the operation and maintenance cost is reduced by 50%, and enterprises are effectively assisted to realize data-driven service innovation.

The invention discloses a service adaptation method and device based on a skill dependence graph and QoS perception, and a robot method comprises the steps: responding to a task execution request sent by a client, and according to task demand information carried by the task execution request, presetting the skill dependence graph, and retrieving a plurality of available alternative atomic micro-services; the preset skill dependence graph is composed of a plurality of nodes and edges between the nodes; under the resource constraint of a preset multi-objective optimization model, determining an optimal service combination scheme from the plurality of alternative atomic micro-services; carrying out containerization deployment on each atomic micro-service in the optimal service combination scheme to obtain a deployed micro-service instance for task execution; in the execution process, when it is detected that service performance degradation or resource bottleneck exists according to the QoS index and resource information sensed in real time, the optimal service combination scheme is optimized, and the step of containerization deployment continues to be executed. Therefore, by adopting the embodiment of the invention, the execution efficiency of the task can be improved.

The invention relates to the technical field of three-dimensional data processing, and discloses a three-dimensional grid data processing and multiplexing method and system, and the method comprises the steps: S1, obtaining and analyzing grid data, obtaining three-dimensional grid original data, and carrying out the format recognition, geometric analysis and topology analysis of the three-dimensional grid original data; s2, carrying out reuse-oriented standardization processing; s3, constructing multiplexing description information; s4, grid resource storage and index management; s5, determining a subset based on the request; s6, on-demand conversion and result generation; and S7, unified scheduling control. By constructing multiplexing description information containing a unique identifier, a hierarchy mapping relationship, a block mapping relationship, version information and a service adaptation mark, unified management and efficient multiplexing of grid data under different hierarchy and service scenes are realized, and unified data semantic support is provided for hierarchical retrieval, on-demand extraction and multi-service collaboration; therefore, the reusability of the three-dimensional grid data and the system cooperation efficiency are remarkably improved.

The invention discloses an electric power system subdivision scene small model construction method based on a structured sparse cutting technology, and relates to the technical field of electric power system intelligent management, and the method comprises the steps: obtaining specific demand data of an electric power system subdivision scene through a pre-established scene classification database, key business indexes and operation parameters are extracted for each scene, a preliminary division range of a function boundary is determined, a new model configuration parameter is acquired from an adjustment scheme by adopting an iterative updating mechanism for a further optimized function boundary adjustment scheme, whether the comprehensive requirements of business adaptation capability and resource configuration optimization are met is judged, and the service adaptation capability and the resource configuration optimization are optimized. Obtaining a final small model design scheme; according to the electric power system subdivision scene small model construction method based on the structured sparse cutting technology, the design efficiency and performance of the electric power system small model can be effectively improved, and resource optimization configuration is achieved.

The invention discloses a satellite internet of things intelligent access device based on orbit prediction and multi-satellite cooperation, which belongs to the field of low orbit satellite internet of things communication and comprises a main control and calculation unit, a multi-satellite access and radio frequency unit, an ephemeris storage and orbit prediction unit, a positioning and time service unit and a data buffering and service adaptation unit. Wherein the multi-satellite access and radio frequency unit is integrated with at least two sets of independent radio frequency front-end channels and supports parallel processing of signals of a plurality of satellites; and the ephemeris storage and orbit prediction unit is used for calculating accurate orbit parameters of future visible satellites. The core of the device is that the main control and calculation unit can actively generate an access and switching plan according to a track prediction result and service requirements, and control multiple radio frequency channels to cooperatively work in a main-standby or load balancing mode. According to the invention, the problem of unstable connection of the low-orbit satellite Internet of Things terminal caused by high-speed movement of the satellite is fundamentally solved, and the communication continuity, reliability and system efficiency are remarkably improved.

A satellite resource pooling management system based on satellite-ground network integration comprises a resource access and standardization module, a resource state monitoring and global resource view module, a resource pooling scheduling engine, a satellite-ground network integration control module and a service adaptation and feedback module. The resource access and standardization module realizes multi-resource access and resource standardization processing; the resource state monitoring and global resource view module realizes resource state real-time monitoring and global resource view construction; the resource pooling scheduling engine screens an optimal resource combination through a scheduling strategy and a dynamic adjustment mechanism based on service requirements and global resource states; the satellite-ground network integrated control module realizes user terminal cross-satellite / ground station switching and network link optimization; and the service adaptation and feedback module realizes service classification adaptation and closed-loop feedback. According to the invention, pooling integration and integrated management and control of satellite, ground station and network link resources are realized, and the resource utilization rate, the service continuity and the system adaptability are improved.

The invention provides a standardized extensible method and system for accessing multiple services, and aims to overcome the defect that a special protocol cannot be flexibly adapted when an existing service gateway accesses the services, various services needing to be accessed are directly accessed to the service gateway in a mode of adapting a professional protocol service plug-in and a general protocol service plug-in, and the service access efficiency is improved. According to the invention, an additional API interface does not need to be developed, the adaptability of the service gateway to various services is greatly enhanced, the service adaptation process is simplified through a standardized plug-in development specification, the development cost of service adaptation and the access difficulty of a service user are reduced, the service is convenient to popularize and apply, and the application range of the service gateway is widened. And the service access efficiency and the overall service management efficiency of the project are improved.

The application provides a kind of intelligent transcoding scheduling method and system, method includes: unified interface layer receives transcoding request, task scheduling layer creates transcoding task according to transcoding request, and determines the target priority of transcoding task according to transcoding information, resource management layer determines the target transcoding system of transcoding task according to the system state and target priority of each transcoding system, and transcoding service adaptation layer maps transcoding parameter to the target transcoding parameter of target transcoding system according to the parameter rule of target transcoding system, and sends target transcoding parameter and to-be-transcoded file to target transcoding system by calling interface, so that target transcoding system transcodes to-be-transcoded file according to target transcoding parameter and feeds back transcoding result to business system.The application shields the interface difference of business system and transcoding system through unified interface layer and transcoding service adaptation layer, and dynamically allocates transcoding resources through task scheduling layer and resource management layer, improves resource utilization.

The invention relates to the technical field of cloud computing, and particularly provides a distributed command execution method and device based on Kubernetes, and the device is divided into a user interface layer, a business logic layer and a service adaptation layer. Command line analysis and result display are carried out in the user interface layer; the business logic layer performs target screening and task execution scheduling; the service adaptation layer is provided with a Kubernetes adapter and an SSH adapter, the Kubernetes adapter obtains cluster information through a Kubernetes API (Application Program Interface), and a Pod name prefix and a target matched with a node name are filtered by using regularization; and the SSH adapter multiplexes a cienodes interface of the KubernetesClient to obtain IP (Internet Protocol) information of the node, and the name of the node is matched through regularization. Compared with the prior art, safe and efficient batch management of Kubernetes cluster resources can be realized, and a standardized solution is provided for operation and maintenance automation in a cloud native environment.

The application provides a cross-model service adaptation method and a vehicle, wherein the method is applied to a target vehicle, a service abstraction layer and a dynamic scheduling layer are deployed in the target vehicle, and the method comprises the following steps: the dynamic scheduling layer obtains a task identifier of a current request task and a vehicle model identifier of the target vehicle based on a first service interface in the service abstraction layer; the dynamic scheduling layer obtains a service implementation class corresponding to the current request task according to the vehicle model identifier of the target vehicle and the task identifier of the current request task; the dynamic scheduling layer converts the current request task into a target request task matched with the target vehicle according to a communication protocol type defined in the service implementation class, and sends a control instruction to at least one hardware according to the target request task. The application shields the hardware differences of different vehicle models, improves the compatibility of the scheme, improves the code reuse rate, and avoids the redundancy of repeated development of different vehicle models.

The present invention provides an in-vehicle voice control system and method. The system includes: a voice receiving device, which is used to acquire recording data, extract the valid content of the recording data, and obtain voice data; a voice recognition device, connected to the voice receiving device, the voice recognition device receives and processes the voice data, acquires the execution object and the optimal semantic information of the voice data, and the voice recognition device generates a pre-start instruction according to the execution object; a service adaptation device, connected to the voice recognition device, the service adaptation device receives the optimal semantic information, matches the service content corresponding to the optimal semantic information, and generates an execution instruction; and an execution device, connected to the service adaptation device and the voice recognition device, when receiving the pre-start instruction, the execution device starts, and when receiving the execution instruction, the execution device performs the operation corresponding to the optimal semantic information. The in-vehicle voice control system and method provided by the present invention can accurately recognize voice content and make a quick response.

The invention discloses a gRPC-based multi-language fusion application development system and an application construction method, and belongs to the field of computer software development. The system comprises a visual design and DSL generation unit, a JS / JS + + engine unit, a Go middle table service engine unit, a multi-language service adaptation unit, an integrated infrastructure unit, a protocol and code generation unit and a cross-platform application packaging unit. Through a calling link of JS / JS + +-Go middle station-multi-language service, a component expansion mechanism and an open interface are matched, a local component or remote service can be dynamically integrated into an application in a gRPC mode, and ecological butt joint with third-party applications such as a browser and a fingerprint browser is supported. Unified packaging of multi-language service capacity, infrastructure capacity and interface logic capacity is achieved, the development threshold of multi-language fusion application is remarkably lowered, and expansibility and maintainability of the system are improved.

The invention provides a data processing method and device, equipment and a storage medium, and relates to the field of communication, and the data processing method comprises the steps that first equipment packages first data plane data through a first DSAP entity in a data service adaptation protocol DSAP layer, and obtains a first data service adaptation protocol sub protocol data unit DSAP sub PDU; a first device receives a first DSAPPDU from a DSAP layer through a media access control (MAC) layer, wherein the first DSAPPDU comprises a first DSAP sub PDU; the method comprises the steps that a first device packages a first DSAP PDU through an MAC layer to obtain a first MAC sub PDU, and the first MAC sub PDU comprises a first logical channel identifier (LCID) corresponding to a first DSAP entity; according to the data processing method, the end-to-end time delay of the data can be reduced, so that the communication performance can be improved.

The invention provides a cloud service management method and system based on a cloud service adaptation algorithm, and the method comprises the following steps: S1, training a cloud service management model based on a convolutional neural network for learning and recognizing the features of different cloud platform APIs, and storing the cloud service management model in a server; and S2, detecting whether an AP I calling request exists or not, and when an API calling request exists, performing feature recognition on the AP I calling request by adopting a cloud service management model, and recognizing the current API calling request cloud platform attribution. According to the method, the features of different cloud platform APIs are automatically recognized through a deep learning model, and a decision tree is constructed to select an optimal adaptation strategy; according to the method, the dependence on professional knowledge and manual configuration errors are reduced, the efficiency and accuracy of the adaptation process are remarkably improved, the possibility of human errors is reduced, and time and human resources are saved.

This invention discloses a government service analysis and management system, belonging to the field of government service management technology. The system includes a user profile construction module, a demand prediction and proactive service module, a data control and permission adaptation module, a process monitoring and root cause tracing module, a policy compliance supervision module, an inclusive service adaptation module, and a central dispatch module. This system improves upon the limitations of existing government service systems' passive service architecture, which is centered on pre-set items, by constructing a user lifecycle profile and a causal inference logic chain for government service needs. It can accurately uncover the inherent causal relationship between user characteristics and government service items, effectively eliminating the interference of pseudo-correlation features on demand prediction, achieving accurate prediction and compliance verification of users' potential service needs. This realizes the transformation of government services from an item-driven "people looking for services" to a demand-driven "services finding people" model, reducing the time and communication costs for the public from the source and improving the government service experience.

This application relates to a trusted communication identity resolution method and apparatus. The method includes: obtaining an identity token provided by a calling terminal when initiating a communication request; sending an identity credential request message to a ticket query server, the identity credential request message including the identity token; receiving the calling terminal identity certificate and resolution configuration information returned by the ticket query server in response to the identity credential request message, the resolution configuration information matching the calling terminal identity certificate; and resolving the calling terminal identity certificate based on the resolution configuration information to obtain the calling terminal identity information. It is evident that this application requires no modification to the client; adaptation can be achieved simply by configuring corresponding resolution configuration information for each different type of calling terminal identity certificate. This mechanism can quickly respond to the iterative needs of trusted communication services, shorten the development cycle for service adaptation, reduce the cost and difficulty of trusted communication system operation and maintenance, and promote the large-scale application and cross-scenario expansion of trusted communication technology.

The invention discloses a video consultation service adaptation method and system based on a high-orbit satellite. The method comprises the following steps: S1, sensing an area rate in real time; s2, video consultation service code rate adaptation: defining four video consultation service levels, each level corresponding to a clear video parameter value or interval; when video consultation service communication needs to be carried out, service grade evaluation and code rate adaptation are carried out, a corresponding video consultation service grade is selected according to the rate table of the current satellite area, and video parameters are adjusted; s3, priority-based dynamic resource allocation: firstly, dividing services into four priorities, namely a P0 service, a P1 service, a P2 service and a P3 service, and performing video consultation as the P0 service; and when the P0 service suddenly needs, the P1-P3 service bandwidth is temporarily borrowed, and the P0 service is returned after the need falls back or the duration reaches a preset threshold value. Therefore, the quick response capability in the emergency communication scene is improved.

The invention discloses an embedded device service adaptation method, system and device and a storage medium. The method comprises the steps that an embedded device accesses an ad hoc network; the embedded device announces a role, a transmission mode and a current adaptation condition of the embedded device in the accessed ad hoc network; and the embedded device selects an adaptive object from an ad hoc network for adaptation according to the role, the transmission mode and the current adaptation condition. According to the method and the device, automatic identification and pairing between the devices can be realized, manual intervention of a user is not needed, so that the devices can quickly and accurately establish connection in various complex environments, and smoother and more efficient use experience is brought to the user.