221 results about "Integrated services" patented technology

The invention discloses an optical transmission cross-domain service real-time configuration method, an optical transmission cross-domain service real-time configuration device and a computer program product, and aims to realize unified planning and dynamic output of cross-domain service end-to-end service quality targets by constructing a multi-domain quality strategy fusion model and integrating service quality strategies and resource states of different network domains. By collecting performance data of each domain in real time and combining with a time sequence analysis algorithm, the network performance degradation trend can be accurately identified; based on quality propagation path analysis of a cross-domain service topological relation graph, a quality degradation root can be quickly positioned, the influence range of the quality degradation root can be quantified, and the service quality stability of a key service in a resource limited scene is ensured; by establishing a cross-domain service quality mapping system, heterogeneous network performance parameters are mapped to end-to-end service quality indexes, and the cross-domain collaborative operation and maintenance efficiency is greatly improved. A continuous iterative optimization mechanism driven by reinforcement learning is adopted, adaptive adjustment of network resource allocation and a routing strategy is realized, and a cross-domain service quality dynamic optimization closed loop is formed.

The invention discloses an intelligent computing power integration service management method and platform based on cloud side-end cooperation, and relates to the technical field of computing power integration management, and the method comprises the steps: sensing the computing power resource state of a side-end cooperation port and terminal equipment in real time at a cloud controller, and building a resource topological graph; a dynamic task demand is introduced, and a computing power scheduling vector is generated; carrying out lightweight segmentation on the cloud training model, and determining adjacent edge nodes under hierarchical limitation to form a regional elastic cluster; and deploying a digital twin simulation engine rehearsal computing power distribution scene, establishing a heterogeneous resource pooling mechanism, and carrying out computing power integration service management. The technical problems of low management efficiency and insufficient utilization rate of heterogeneous computing power resources in the prior art are solved, and the technical effects of realizing efficient management of intelligent computing power integration services and improving the utilization rate of the heterogeneous computing power resources are achieved.

The invention belongs to the technical field of power resource optimization, and particularly relates to a power supply station service architecture optimization method based on digital power grid construction achievements, which comprises the following steps: investigating power supply station service requirements, constructing a power supply station service architecture, and determining a power supply station application architecture; an intelligent Internet of Things terminal operation system based on an electric power gap base and a platformization solution are introduced into the application architecture, and a platformization and perception fused service operation system is constructed; core technologies such as an AI large model, a high-perception terminal, a security authentication mechanism and a 5G slicing network are introduced into asset management, production management, resource management and technical management, and an integrated service execution system with intelligent perception, efficient cooperation, security, credibility and standardized operation is constructed. According to the invention, the problems of scattered architecture, slow response, weak cooperative capability and the like in a traditional power grid system are solved, and reliable support and a technical path are provided for efficient, safe and intelligent development of a power grid.

Systems and methods for monitoring and enforcing a service level agreement for an entity are provided. A system includes a scanning engine, an assessment engine, a terms repository, an agreements repository, an assessments repository, and a processing circuit. The processing circuit is configured to perform operations including: receive device connectivity data; determine an entity; identify a data set of computing resources associated with the entity; reference a service level agreement associated with the entity; parse at least one term from the service level agreement; retrieve an assessment map for the at least one parsed term, wherein the assessment map comprises a key performance indicator, a data set of actual service level values, and a response protocol; score the identified data set of computing resources associated with the entity; determine an assessed service level value; store the assessed service level value; and monitor the identified data set of computing resources.

The invention, which relates to the technical field of the logistics supply chain, discloses a digital intelligence park supply chain warehouse distribution integrated service system comprising a dynamic warehouse resource collaborative scheduling module, a multi-modal intelligent path planning module and a block chain federal learning security center module. Data are collected in real time through 5G-IoT, storage locations and equipment are dynamically allocated in combination with a quantum genetic algorithm, and the storage proportion of cold and hot regions is optimized; planning a path in real time by using an improved ant colony algorithm and a dynamic cost function, and supporting multi-carrier collaborative distribution of unmanned vehicles and unmanned aerial vehicles; a hierarchical block chain and federated learning technology is adopted to ensure data encryption storage and cross-enterprise security sharing; the system improves the storage efficiency and the inventory turnover rate, shortens the distribution time, reduces the energy consumption, guarantees the data privacy and compliance, and is suitable for the supply chain management of a modern park.

The invention relates to a flexible scheduling method and device for soft switch resources of a cloud native architecture, equipment and a medium. The method comprises the following steps: performing feature extraction and marking on computing nodes, storage resources and network resources by using a resource classification model to generate a resource tag library representing initial classification of each resource, extracting resource feature data from a resource tag library based on each resource initial classification, generating current supply and demand data in combination with resource use state data collected in real time, calculating a resource allocation priority sequence by using a multi-objective optimization algorithm fusing service response time and cost balance optimization parameters, and generating a preliminary sorting result; and detecting a resource supply and demand imbalance state based on the preliminary sorting result and the resource supply and demand change data flow monitored in real time, if the imbalance state is detected, executing resource allocation adjustment calculation based on the current supply and demand data, and generating a preliminary resource allocation scheme, thereby realizing flexible scheduling and optimal allocation of soft switch resources under the cloud native architecture.

The invention discloses a campus express air-ground integrated unmanned distribution system and a use method. The system comprises a front-end application service module, an express platform integrated service module, an unmanned vehicle scheduling and control service module, an unmanned aerial vehicle scheduling and control service module, a communication service module and a big data storage and analysis service module. The unmanned vehicle scheduling and control service module comprises unmanned vehicle intelligent scheduling and unmanned vehicle adaptive path adjustment, and is used for scheduling an unmanned vehicle to execute a delivery task according to the obtained express information and the matched address; the unmanned aerial vehicle scheduling and control service module comprises unmanned aerial vehicle adaptive path adjustment and is used for scheduling an unmanned aerial vehicle to handover with an unmanned vehicle and continuing to execute a distribution task; and the big data storage and analysis service module is used for storing and analyzing the distribution data so as to realize a dynamic adjustment mechanism. According to the invention, adaptive path adjustment of the unmanned vehicle and the unmanned aerial vehicle can be realized, and an efficient, safe and flexible campus express air-ground integrated distribution service is provided.

The invention relates to the cross technical field of a distributed artificial intelligence system and micro-service governance, in particular to a service monitoring and management system based on a distributed Agent, which adopts a three-level architecture of a user layer, a host Agent layer and a service Agent layer: the user layer is provided with a unified entrance forwarding request; the host Agent layer is integrated with a service registry and other modules to realize global management and control; the service Agent layer comprises a registration module and the like to complete function and state feedback. Through four innovations of a dynamic observability model, an incremental heartbeat protocol, a fine-grained state machine and an intelligent routing engine, dynamic binding of a service function and a state is realized. The scheme has the advantages that the service observability is improved, and the problem positioning efficiency is optimized; the monitoring data transmission quantity is reduced; the service interruption time is shortened, and the availability is improved; and the method is suitable for scenes such as intelligent customer service and the like.

A system and method for evaluating narrative, entertainment, or message-based content using a multi-axis diagnostic framework. The system processes a media input—such as a screenplay, advertisement, website, short-form video, or branded communication—through modular scoring layers including artistic merit, commercial potential, demographic alignment, genre fidelity, and ideological sensitivity. Optional components include symbolic tagging, AI-origin detection, and cultural volatility indices. The results are compiled into a structured Media Scorecard comprising numerical scores, qualitative diagnostics, quadrant resonance maps, and role-specific summaries. The system may be deployed as desktop software, cloud platform, or API-integrated service, and optionally incorporates machine learning to refine scoring and forecast performance. Outputs are used to inform development, marketing, investment, and acquisition decisions across entertainment and media ecosystems.

The invention discloses a resource integration platform and a resource optimization configuration method for kindergarten integrated service, and relates to the field. According to the resource optimization configuration method for the kindergarten integrated service, resource service data of each functional area of the kindergarten integrated service to be optimized is obtained and comprehensively analyzed, and a resource pressure bearing index of each functional area is obtained; obtaining infant individual care characteristic data of each functional area, performing data analysis to obtain a comprehensive care demand index of each functional area, and performing comprehensive analysis in combination with the resource pressure bearing index to obtain a care resource regulation index of each functional area; according to the invention, the preset resource optimization configuration measures are taken for each functional area based on the nursing resource regulation and control index, so that the actual nursing load state of the functional area can be accurately reflected, and manpower tension and space waste caused by the fact that the actual nursing demand of the infant is not matched are avoided; and therefore, the nursing matching accuracy and the overall resource adaptation level can be improved.

The invention provides an automatic planning integrated service system based on artificial intelligence. The automatic planning integrated service system based on artificial intelligence comprises a multi-source heterogeneous data access and processing module used for preprocessing multi-source heterogeneous data from a sensor, a historical business log and a third-party API in real time; the data unified modeling and storage module is used for carrying out semantic modeling storage on the multi-source heterogeneous data through a knowledge representation model; and the intelligent planning and scheduling module is used for reasoning and optimizing the timeliness, the cost and the resource utilization rate. According to the automatic planning integrated service system based on artificial intelligence, a decision strategy can be continuously refined, and it is ensured that an optimal or near-optimal scheduling scheme is always provided in a complex and changeable business environment, so that the overall operation efficiency and the resource utilization level are remarkably improved.

A network service incorporating service groups to increase fault tolerance and data isolation for integrated network services and client data is provided. The network service provider can process network requests utilizing individual service groups that correspond to a set of integrated services and client data (e.g., cells). The service groups can be associated according to customer identifier. Computing resources within a service group are isolated from computing resources utilized in other service groups and resources that host / provide the service or the integrated data can be independently scaled by the service provider.

The embodiment of the invention provides an enterprise integration service platform based on a cloud native architecture and a construction and application method thereof, and relates to the technical field of service platforms. The platform comprises a message service integration module used for providing creation, distribution, execution and management of messages and message channels; the application service integration module is used for providing plug-ins and APIs; the service integration full-life-cycle management module is used for realizing classified display and detail display of the capability, and capability-based retrieval and API management; the platform base integrated service monitoring module is used for providing an integrated service quantity, accessing a service source system, analyzing and displaying a service state, and providing data and detailed page development; and the asset visualization module is used for monitoring the operation state and the operation data of the message integration service module and the application service integration service through a visual interface. According to the implementation mode provided by the invention, multiple problems confronted by a traditional enterprise in a digital transformation process are solved.

There are provided systems and methods for automated code generation using large language models (LLMs) for software platform integrations with computing services. An online transaction processor or other service provider may provide computing services and platforms to entities including merchants for electronic transaction processing and other account services. To provide for conde integrations of the computing services with software platforms of merchants, such as software systems for merchant websites and applications, the service provider may provide for an automated code generation tool that processes data for the software platform and the service to be integrated and provides recommendations and source code. An LLM may be prompted in parts to generate the code after analyzing legacy code from previous integrations and information for the merchant's software platform, and the merchant may be provided new code for testing and implementation.

The invention discloses a composite file management system and method. According to the system, a three-in-one collaborative architecture is formed by integrating samba service, storage service and SaaS service. Wherein the samba service adopts a five-layer modular design, the network communication module supports an SMB / CIFS protocol to perform data interaction with a multi-platform terminal, the request processing module realizes high-concurrency access control through an asynchronous queue mechanism, and the service logic module is internally provided with file version management, authority verification and log auditing functions. The file storage calling module is in butt joint with a heterogeneous storage system in an adapter mode and supports mixed deployment of a distributed file system and object storage, and the SaaS system calling module is deeply integrated with third-party application service through RESTful API to achieve cross-system file circulation and metadata synchronization. According to the method, transparent scheduling of local storage and cloud storage is achieved through a unified file operation interface, and an enterprise-level file management solution capable of being elastically expanded is constructed.

The invention provides an intelligent nuclear power integrated service system and method and a monitoring system, and relates to the technical field of industrial internet platforms, the service system is applied to a nuclear power attribute business platform, and the service system comprises an industrial internet of things unit, a business processing unit and an industrial service unit; the industrial internet-of-things unit is used for acquiring nuclear power data and sending the nuclear power data to the business processing unit; the business processing unit is used for generating micro-services corresponding to nuclear power business attributes according to the nuclear power business attributes of the nuclear power data and sending the micro-services to the industrial service unit; and the industrial service unit is used for generating a corresponding service interface according to the micro-service corresponding to the nuclear power service attribute, and performing service registration on the micro-service corresponding to the nuclear power service attribute and the service interface. According to the service system, the method and the monitoring system provided by the invention, a unified service data system can be constructed around nuclear power service attributes, and the uniformity and integration of application development modes are ensured.

Disclosed herein is an integration service engine implemented as a computer program within a computing environment. The integration service engine operates to receive a request to perform a task and performing a semantic analysis on the request, utilizing artificial intelligence. The integration service engine also operates to retrieve relevant connectors based on the semantic analysis, determine objects and required fields needed for the request, and generate a code of a robotic process automation to implement the request based on the relevant connectors, the objects, and the required fields.

The invention discloses an Internet information system integrated service system based on digital twinning, and the system comprises a data collection and processing module which is used for obtaining and preprocessing heterogeneous data of an Internet information system; the twin node construction module is used for constructing twin nodes and establishing a mapping relation; the semantic propagation module is used for coding the state change of the physical system, carrying out semantic disturbance propagation and carrying out convergence in the propagation process; the cooperative behavior generation module is used for analyzing the triggering behaviors and carding the constraint relation of the triggering behaviors; the instruction scheduling module is used for generating an executable instruction of the physical system and issuing the executable instruction to the corresponding physical system; the twinning updating module is used for performing weighted updating on the twinning nodes and reconstructing a semantic association structure in a twinning space; and the collaborative result output module is used for generating a cross-system collaborative execution result and outputting the result. According to the invention, automatic cooperative processing among multiple systems of the Internet can be realized, and the efficiency of cooperative behavior generation among the systems is improved.

The invention discloses a network security integrated service collaborative monitoring system based on a dynamic defense architecture. Comprising a multi-domain threat propagation coupling analysis module, a quantum key dynamic distribution adaptation module, a digital twin security simulation prediction module, an attack traceability data association engine module, a network security integrated service collaboration module and a cross-layer dynamic regulation and control execution module. Threat features are obtained through multi-domain threat propagation coupling analysis, quantum key dynamic adaptation is driven, a risk evolution trajectory is deduced in combination with digital twin simulation, a complete traceability link is constructed based on an attack traceability data association engine, a regulation and control instruction is cooperatively generated through network security integrated service, and strategy adjustment is achieved through a cross-layer dynamic regulation and control execution module. According to the method, multi-module deep coupling closed-loop linkage is realized, the problems of insufficient collaboration and poor dynamic adaptation and traceability in the prior art are solved, the real-time performance, accuracy and collaboration of network security monitoring are improved, and the method is suitable for dynamic defense of a complex multi-domain network environment.

The invention provides a remote sensing service integrated service system, which comprises an algorithm service platform, a data service platform, a task management platform and a unified monitoring platform, and is characterized in that the algorithm service platform is used for providing operator registration management and business process arrangement service, and comprises an operator management module for realizing operator registration, operator test and operator service release; the scene arrangement module comprises a manual arrangement unit and an AI arrangement unit and is used for realizing scene arrangement, scene test and scene service release; the data service platform is used for realizing unified storage and data service release of multi-source heterogeneous data; the task management platform is used for performing scheduling, real-time monitoring and visual management on tasks; and the unified monitoring platform provides cross-platform cluster resource monitoring and management services. Through centralized management of various operators, business processes and data, unified algorithm, data and service support can be provided for various business systems, so that the development and management efficiency of the business systems is improved, and the cost is reduced.

The invention discloses a business integrated service platform and a data processing method applied by the business integrated service platform, and relates to the technical field of informatization services, and the business integrated service platform comprises a data fusion module which is used for converging cross-department business data of a full life cycle of an industrial project and constructing a unified full-chain electronic archive library; the supervision model module is used for establishing an industrial project digital monitoring model based on a full-chain archive library, monitoring key links of the project and generating a digital intelligent early warning signal; the service cooperation processing module triggers a flattening cooperation service instruction based on the digital intelligent early warning signal, generates a project blocking point problem and dispatches the project blocking point problem to a responsible department terminal; and the visual decision-making module is used for integrating the acquired investment attraction data, project progress data and approval efficiency data to obtain and display industrial layout, project performance and business environment trend analysis results. The invention discloses a high-efficiency industrial project supervision system capable of cracking data fragmentation dilemma and realizing full-period dynamic monitoring.

Methods and apparatuses are described for automatically provisioning and managing secure database resources in a cloud computing environment. A server provisions virtual computing resources in the cloud computing environment using resource templates and creates a database instance in each of the virtual computing resources. The server integrates the database instances and the virtual computing resources in the cloud computing environment with an identity authentication service. The server configures the database instances in two or more of the virtual computing resources to synchronize data. The server monitors each of the plurality of virtual computing resources using a monitoring service. The server updates the database instances by detaching a physical disk drive from the database instance, deleting the virtual computing resource that contains the database instance, provisioning a new virtual computing resource, creating a new database instance in the new virtual computing resource, and re-attaching the physical disk drive.

The present invention discloses an integrated service system for intelligent design of electric power engineering and a method for using the system, which relates to the field of microgrid redundancy design and is used to solve the problem of dynamic resource configuration under load fluctuations and energy uncertainty. The system integrates multi-source data to construct a dynamic joint probability field model that can capture the temporal and spatial characteristics of load demand, distributed energy output and environmental variables, and comprehensively reflect their complex nonlinear dependencies. Based on the model, an advanced nonlinear optimization algorithm is used to derive the redundant capacity threshold in each time period, ensuring that the redundant configuration in different operating time periods can meet the high power supply reliability requirements while optimizing the economy and resource utilization efficiency. Furthermore, a Bayesian network is used to dynamically allocate redundant resources, fully tap the synergistic effect of multiple energy sources, and realize scientific allocation and real-time response of resources, thereby significantly enhancing the stability and economy of the microgrid in dealing with load fluctuations and energy uncertainty.

The invention discloses an unmanned aerial vehicle complex airspace cooperative passage method based on a graph neural network, and the method comprises the steps: collecting the airspace data of an unmanned aerial vehicle complex airspace, and generating standardized airspace data; constructing a mixed queuing network, and forming arrival, queue length and service capability state of each service node and service link; mapping to obtain graph nodes, graph edges and graph features, and constructing an airspace graph; inputting the airspace graph into the graph neural network, and carrying out constraint updating on the mixed queuing network; integrating the service capability state, the queue length state and the congestion propagation parameters to form a network passing cost relationship; and executing a Frank-Wolfe algorithm, and generating a cooperative passing instruction for each unmanned aerial vehicle. According to the invention, by introducing the mixed queuing network and the Frank-Wolfe algorithm, efficient and stable cooperative passage scheduling of multiple unmanned aerial vehicles in a complex airspace environment is realized.

The invention provides an intelligent integrated service method and system for an anti-overflow anti-static controller, and relates to the technical field of risk prediction, and the method comprises the steps: calling a fault time sequence tracking data set of a historical sample controller according to the model ID of a target controller, and enabling the target controller to be the anti-overflow anti-static controller; performing index fluctuation correlation analysis, and constructing a fault fluctuation correlation tree; constructing a cross-level risk prediction network; polling and backtracking the associated sensing equipment to obtain an intersection index monitoring time sequence array; outputting scene matching probability distribution, executing risk prediction level verification, and outputting an integrated risk prediction result; and matching a fault propagation path map, and performing source parameter suppression regulation and control. The anti-overflow and anti-static controller solves the technical problems that in the prior art, an anti-overflow and anti-static controller judges whether a fault occurs or not by setting a fixed threshold value mostly, flexibility and adaptability are lacked, false alarm and missing alarm are likely to be caused, and then the operation stability and safety of equipment are affected.

The invention relates to the technical field of smart community service and real estate data collaboration, in particular to an intelligent and digital driven real estate and community integrated service system. According to the technical scheme, the system comprises an AI intelligent data middle platform, a real estate service intelligent module, a community service digital module, a cross-scene intelligent matching module, a full-process digital operation module, a commercial value increment module, a multi-terminal collaborative interaction module and a safety and compliance management module, all the modules operate collaboratively, and a real estate and community full-service chain is endowed. The business ecology is constructed, the house property and community full-business chain is deeply endowed through intelligent and digital technologies, the problems of insufficient intelligence, data collaboration deficiency, low operation efficiency, weak business value and the like in the prior art are thoroughly solved, and a virtuous circle of technology endowment, business optimization and business value increment is constructed. The method accords with the core appeal of the current capital market for intelligentization, digitization and high growth potential, and has remarkable technical innovation, commercial feasibility and capital attraction.

A system (100) for pairing a user's mobile device (3) to a user's portable device, the system (100) comprising the user's mobile device (3) using a mobile subscription and comprising a SIM card associated to a Mobile Subscriber Integrated Services Digital Number, MSISDN; and pairing means (4) to perform pairing between the mobile device (3) and the portable device, the VR device (1) comprising computing means (2) to perform pairing between the VR device (1) and the mobile device (3), the VR device (1) being configured to authenticate the user's mobile device (3), wherein authenticate means that the user is in possession of the user's mobile device (3) using the mobile subscription.

The present invention provides an industry meteorological integrated service method and platform, which can be mainly applied to tourism scenarios. At the operational level, monitoring strategies can be customized according to facility attributes, facility data can be accurately collected and operating status can be analyzed, so that operators can predict facility risks in advance according to meteorological changes, reduce failures and accidents, and reduce operational losses; at the tourist experience level, through user-side interaction, tourists can obtain current meteorological data and multi-time dimension forecast information related to their travel activities, which is convenient for reasonable itinerary planning, enhances the sense of control over the travel, and improves satisfaction; at the same time, the solution deeply integrates "meteorology + tourism" and constructs a "facility attributes-meteorological data-user interaction" closed-loop service system, realizing the precise connection between meteorological data and tourism scenarios, and promoting the transformation of the tourism industry towards digitalization and intelligence.

The invention discloses a service integration intelligent decision-making method and system based on a credit-driven reinforcement learning closed loop, and the method comprises the following steps: S1, receiving the unstructured service demand input of a user, and generating a structured service task description containing at least one service module and a cooperative constraint condition thereof through mixed analysis processing; s2, initiating multiple rounds of dynamic bidding to a plurality of service providers to obtain dynamic service condition information, fusing the dynamic service condition information, user preference information and collaborative constraint conditions, performing calculation through a multi-target service optimization model of which the optimization weight can be dynamically adjusted, and generating and recommending at least one integrated service scheme to the user; and S3, responding to confirmation of the user to the integrated service scheme, starting and monitoring service execution, and automatically completing expense settlement according to a preset rule after the service execution is completed. Based on a pluggable field knowledge base and the same set of technical architecture taking a credit-driven reinforcement learning closed loop as a core, the system can be quickly adapted to various high-complexity and strong-collaboration service integration fields such as tourism, exhibition, enterprise travel, wedding celebration and medical rehabilitation travel planning by configuring different service modules and collaboration constraint conditions, and has the advantages of being high in practicability and high in practicability. And a set of unified technical architecture and solution which have high adaptability and can be reused is provided.

We will build a circular integrated service platform that provides a circular integrated service delivery system that enables the arrangement of replacement vehicles based on a personality score and the reduction of vehicle transportation costs when a non-life insurance policyholder is involved in a car accident. [Solution] The cyclical integrated service provision system 4 according to the present invention comprises a replacement vehicle service system 5 equipped with multiple replacement vehicle stations 15 located throughout the country or in certain regions, which provide replacement vehicles to insured persons with a replacement vehicle expense rider on their automobile insurance via a network. The insured person's member terminal 1 is equipped with a function for receiving replacement vehicle usage services based on a personality score. The management server 7 is characterized in that, when the accident reception center terminal 9 receives a traffic accident notification from the member terminal 1 or the drive recorder 3, it performs real-time calculation of the personality score and has a replacement vehicle provision control unit 25 that controls the provision of a replacement vehicle based on the calculated personality score.