54 results about "Real time services" patented technology

The invention discloses a renewable energy penetration power distribution system scheduling method and system based on a block chain, and relates to the technical field of power distribution system scheduling, and the method comprises the following steps: constructing a cross-hierarchy time sequence integrity observation layer, introducing a multi-source high-precision reference signal into a synchronous time service link, and carrying out the multi-source high-precision reference signal; the fingerprint acquisition module is used for acquiring external environment electromagnetic disturbance and atmospheric propagation delay data in real time and generating a phase offset fingerprint corresponding to a time service state; and performing causal decomposition operation based on the phase offset fingerprint, performing noise stripping processing on the acquired electromagnetic disturbance signal, and extracting a real time service error trajectory. Through combination of multi-source time service correction, phase fingerprints and virtual impedance time marks, time self-calibration and cross-node synchronization of the block chain power distribution system are realized, account book wrong sequence caused by time service drift is eliminated, power flow reversal is suppressed through time reversal traction and dynamic constraint, scheduling stability and energy flow consistency are ensured, and the power distribution efficiency is improved. The system safety and the clean energy utilization efficiency are improved.

The invention provides a multi-model intelligent routing method and system with memory and self-adaptive capabilities in the technical field of artificial intelligence and computer system resource scheduling. The method comprises the following steps: S1, executing an authentication operation based on a user request and extracting a user identifier; s2, performing intention recognition on the user request to extract multi-dimensional request features; s3, retrieving user preference information and a candidate model list related to the user request from a vector database based on the user identifier or the multi-dimensional request feature; s4, acquiring real-time service state information of each model in the candidate model list; s5, based on the multi-dimensional request features, the user preference information and the real-time service state information, a target model is selected from the candidate model list through a mixed decision strategy; and S6, the user request is routed to the target model, and a returned response result is received. The method has the advantages that the model scheduling accuracy, the resource utilization efficiency and the user experience are greatly improved.

The invention relates to the technical field of server balancing, in particular to a server dynamic load balancing and resource management method which specifically comprises the following steps: acquiring CPU utilization rates of a plurality of servers in real time, grouping the plurality of servers according to the acquired CPU utilization rates of the plurality of servers, dividing the plurality of servers into priority queues and idle queues, the method comprises the following steps: acquiring a priority queue, arranging a plurality of servers in the priority queue from low to high along the CPU utilization rate, acquiring a real-time service request, executing the acquired service request according to the arrangement sequence of the priority queue, analyzing load fluctuation in a future time period, and performing elastic capacity expansion and contraction operation on the servers according to the acquired load fluctuation. According to the method, the CPU utilization rate of the server is monitored in real time, the server grouping and task allocation strategy is dynamically adjusted, and the future load fluctuation trend is analyzed in combination with historical data, so that intelligent management of server resources is realized, and the problem that part of servers are overloaded and part of servers are idle is effectively avoided.

A system for providing real-time services and functions in an Open Radio Access Network (O-RAN) architecture, includes: a first physical node comprising at least one first processor configured to execute instructions to implement an O-RAN centralized unit (O-CU); at least one second physical node comprising at least one second processor configured to execute instructions to implement: an O-RAN distributed unit (O-DU), and a real-time (RT) RAN Intelligent Controller (RIC) connected to the O-DU via an interface terminating at the RT RIC and having a latency of less than 10 ms; an O-RAN radio unit (O-RU); at least one third physical node comprising at least one third processor configured to execute instructions to implement a non-real-time (Non-RT) RIC operating at a time scale of greater than 1 second; and at least one fourth physical node including at least one fourth processor configured to execute instructions to implement a near-real-time (Near-RT) RIC operating at a time scale of 10 ms to 1 second, wherein the RT RIC is a software platform configured to host applications for controlling at least the O-DU over a real-time control loop with a latency of less than 10 ms.

The invention provides an edge computing network-oriented energy efficiency service deployment and delivery method and system, and relates to the technical field of edge computing, and the method comprises the steps: extracting multi-dimensional service features, carrying out the coding fusion of the extracted multi-dimensional service features, and generating a global context feature representation; in combination with a system load dynamic prediction result, adaptively adjusting an upper layer decision time scale based on the global context feature representation; under the adjusted upper-layer time scale, executing a service deployment decision and a base station dormancy / activation switching decision; under the fine-grained lower-layer time scale, executing a service delivery decision and a resource allocation decision based on the real-time service request; and coordinating the decision process through a double-time-scale hierarchical learning framework. According to the method provided by the invention, the long-term network overhead can be effectively reduced, the dynamic service request can be effectively responded, the processing capability of the time coupling relationship between deployment and delivery weeks is improved, and the system cost is reduced.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to real-time quality of service (QoS) monitoring and prediction are described. A first QoS monitoring request indicating one or more WTRUs may be received from a server. A second QoS monitoring request may be sent, the second QoS monitoring request indicating a session to be monitored by a WTRU of the one or more WTRUs. A QoS monitoring response may be received, the QoS monitoring response indicating (i) the session to be monitored and (ii) performance measurement information associated with the session to be monitored. First performance measurement assistance information may be sent, based on the performance measurement information associated with the session to be monitored, and QoS report information may be received, the QoS report information indicating one or more QoS metrics measured by the WTRU in the session.

The invention relates to the technical field of artificial intelligence, old-age service and quality monitoring, in particular to an artificial intelligence-driven precise old-age service matching and quality monitoring system, which comprises a service demand analysis module, a service resource matching module, a multi-modal data acquisition module, a topological data analysis module, a service quality monitoring module and a user interaction module, the physical health data and daily activity information of the old people are analyzed by adopting a deep learning technology, and personalized service demand evaluation is realized; intelligent scheduling of service resources is carried out based on a multi-agent system; the service quality manifold is constructed through the topological data analysis technology, the topological distance between the real-time service data and the standard service quality manifold is calculated, whole-process monitoring and early warning of the service quality are achieved, the problems that in existing old-age care services, demand evaluation is not accurate, the resource configuration efficiency is low, and service quality monitoring is not comprehensive are solved, and the service quality monitoring efficiency is improved. The service matching accuracy and the resource utilization efficiency are remarkably improved, and the service abnormity is found in advance and accurately positioned.

Systems and methods are disclosed for ensuring the integrity and security of data exchanges between mainframe systems and external channels. The invention includes a Data Distribution Service (DDS) that receives files from various channels and a Network Data Mover (NDM) that routes these files to a Gatekeeper Landing Zone (GK LZ) based on real-time server health and availability. A File Manager module detects new files, performs sanitization, converts files from EBCDIC to ASCII, and updates the Gatekeeper Control Database (GKC DB). The Validation module ensures data compliance, checks for duplicates, and logs exceptions. A Transaction Manager Resource Adapter (TMRA) splits data into transactions, identifies optimal processing paths, and converts data back to EBCDIC for transactions. The Reconciliation module verifies data accuracy and logs details, while the Backout module reverses transactions if discrepancies are found.

Technologies for providing large data throughput communication in a next generation cellular network (e.g., 5G wireless network, 6G wireless network) are described. The method includes receiving requests from producers and consumers for integration into a communication pathway. Based on producer data output, the producer can be connected to a message bus that can store data from the producer in short-term data store or long-term data store. A data consumer can request data of a data type or from a data producer be provided from the message bus to the data consumer. Based on the immediate usability of the data by the consumer, the consumer can direct to the message bus to store data in a short-term data store for quick transfer to the consumer for real-time data consumption, or to a long-term data store to be stored until the consumer is available for the data.

Systems, methods, and computer readable medium are disclosed for performance of network connection operations. Performance of network connection operations includes accessing a cloud service via a client device, the cloud service containing real-time network information including at least two of a real-time server load for a plurality of servers, real-time server capacity, a customer preference, or geolocation IP; receiving from the cloud service, identities of a plurality of candidate servers from the servers, wherein, based on the real time information, the candidate servers meet criteria for potential establishment of a connection with the client device; transmitting probe packets from the client device to at least some of the candidate servers; receiving responses to the probe packets; determining from the responses, communication characteristics for at least some of the probe packets; selecting a server based on the communication characteristics; and establishing a connection between the client device and the selected server.

The invention relates to an enterprise contact portrait construction and intelligent service system based on big data, constructs an enterprise-level contact resource management system supporting dynamic multi-dimensional portrait generation, privacy compliance calculation and intelligent scene service, and breaks through the technical barriers of data fusion, deep modeling and real-time service. Through the system structure, data collection-portrait-service full-link break-through is realized, and the UEID runs through all modules to ensure that accurate portrait construction and service generation are completed in a data desensitization state; flink stream processing and GNN are used to realize second-level updating of portraits, real-time performance of enterprise contacts is better, output structured results are more referenced, a visual reasoning path is set, and business credibility is enhanced; the user contact end is provided with a closed-loop feedback mechanism, and the setting quantity of the updating module is optimized through feedback of internal personnel of an enterprise.

Disclosed is a method for providing a service using code streaming, which is performed by an edge-device-based service providing system. The method may include: identifying a motion recognition code module for providing a first service to a user based on a user's selection for the first service; recognizing a motion of the user by executing the identified motion recognition code module based on a motion image of the user which is input to a camera of the service providing system; requesting a service code module which is computed in a code execution device of the service providing system to a service providing server to provide the first service; generating real-time service data for the first service based on the recognized user's motion as the service code module is streamed to be received; and outputting the generated service data through a service output device of the service providing system.

The invention provides a processing process adaptive optimization and abnormal condition identification system and method, and the method employs a hierarchical decoupling architecture, a front-end display layer serves as an interaction interface, and the display content is obtained from a core algorithm layer through a data transfer and storage support layer; the core algorithm layer adopts a real-time and non-real-time service separation architecture, and the real-time and non-real-time service separation architecture is decoupled to ensure that real-time processing is not The hardware interaction layer realizes bidirectional data interaction with a machine tool numerical control system and a sensor through adaptive equipment and covers data acquisition and feedback control; the data transfer and storage support layer adopts a Redis publishing and subscribing mechanism, and a plurality of fixed channels are divided to realize data transmission decoupling; the system acquires processing full-dimension data through three-source data acquisition. Each layer is decoupled, data transmission is efficient, monitoring real-time performance, optimization accuracy and abnormity identification reliability in the machining process are effectively improved, and loss caused by abnormal working conditions is reduced.

The disclosed techniques improve security testing of remote services. To improve coverage, a complete list of endpoints exposed by a service are identified. In some configurations, route objects that map request URLs to services are analyzed in-memory to identify endpoints. Test coverage is also improved at runtime by enabling a dynamic testing tool to access service endpoints without login credentials. In some configurations, code is injected into a live service process that bypasses an authorization component of a request handling pipeline. In some configurations, testing is improved by locating test clients on the servers being tested.

The invention discloses a service processing method and device, electronic equipment and a storage medium, which are used for solving the technical problem of low accuracy of an existing service fusing and degrading mode. The method comprises the following steps: receiving a service processing request sent by a user; analyzing an interface annotation corresponding to the service processing request, and obtaining a service priority and a service interface type; obtaining a user level of the user from a distributed cache; acquiring service context information from the service processing request according to the service interface type; acquiring a real-time service operation state; determining a service processing decision according to the service priority, the user level, the service context information and the real-time service operation state; the service processing decision is fusing or degrading; and executing the service processing decision.

This invention relates to a pre-caching method based on vehicle location. The method includes: constructing a highly dynamic scenario with different cached content requirements based on heterogeneous network units, and obtaining parameters such as vehicle location; modeling base stations, roadside units, and vehicles as leaders and followers in a Stackelberg game; designing a utility function based on data caching rate and data caching cost calculated from vehicle location and other parameters; obtaining the optimal pre-caching alliance members by solving the established game model; calculating caching efficiency and node utility values ​​under this game model by jointly considering the timeliness, popularity, and data volume of cached content; constructing a multi-dimensional knapsack objective function constrained by the alliance members; and then using dynamic programming to backtrack and solve for the optimal pre-cached content combination and its deployment scheme. This invention can effectively reduce redundant transmission and energy consumption under complex business loads while compressing transmission latency to the theoretically optimal range, providing crucial underlying support for real-time vehicle services.

A method and apparatus are provided for dynamic resource allocation, scheduling and signaling for variable data real time services (RTS) in long term evolution (LTE) systems. Preferably, changes in data rate for uplink RTS traffic are reported to an evolved Node B (eNB) by a UE using layer 1, 2 or 3 signaling. The eNB dynamically allocates physical resources in response to a change in data rate by adding or removing radio blocks currently assigned to the data flow, and the eNB signals the new resource assignment to the UE. In an alternate embodiment, tables stored at the eNB and the UE describe mappings of RTS data rates to physical resources under certain channel conditions, such that the UE uses the table to locally assign physical resources according to changes in UL data rates. Additionally, a method and apparatus for high level configuration of RTS data flows is also presented.

The invention provides a method and device for establishing a space grid system and a remote sensing image processing system. The method belongs to the technical field of remote sensing images, and carries out unified structured management on remote sensing image data by constructing a three-dimensional holographic management framework composed of a time grid, a space grid and a spectrum grid. The space grids adopt global subdivision grids and are endowed with unique codes, the time grids establish indexes according to years, seasons and months, and the spectrum grids are divided according to professional spectrum segments. The corresponding device comprises a data receiving module, a grid coding module, a storage module, a scheduling module and a processing module. The system supports micro-service cluster deployment, visual low-loss compression and open API integration. According to the method, pixel-level scheduling, dynamic processing and real-time service release of the remote sensing data are realized, the bottlenecks that the traditional file-level management efficiency is low, the preprocessing is tedious, and the instant service demand of massive high-resolution images is difficult to meet are overcome, and the data management, processing and service efficiency is remarkably improved.

The application relates to the technical field of information recognition, and discloses a car owner information intelligent recognition system for car washing services; the system comprises a data query module, a first portrait fusion module, a second portrait construction module and a package recommendation module; the data query module extracts comprehensive car owner information from available data; the first portrait fusion module fuses user labels into a user car washing portrait; the second portrait construction module constructs a real-time service portrait with annotations; and the package recommendation module sequentially recommends service packages to a user end; the car owner information intelligent recognition system can integrate historical car washing service information and current individual demand service information of a user into one, realizes double-portrait construction of the user in a past time period and a current time period, avoids the problem that the car owner information is limited in comprehensiveness when a portrait is constructed once, and ensures that the screened service package can be highly matched with the car owner information.

The invention discloses a campus teacher-student intelligent agent development and service platform, and the platform comprises an access layer which is used for accessing the platform through a plurality of terminal devices, and supporting an MQTT protocol and an HTTP protocol for communication; the interface layer is used for providing a standardized API interface and realizing front and rear end separation and data exchange service layer, is realized based on a. NET6 micro-service architecture, and comprises an agent management module, an API gateway and a data aggregation module; the data layer is used for storing and managing business data, statistical data and log data; the storage layer comprises a relational database, a cache system and a file storage and is used for persisting business data and course data; the platform integrates campus multi-system data through a middle platform architecture, and supports low-code agent development, containerized deployment and real-time service collaboration. Different using requirements of teachers and students can be better met.

The application discloses a kind of double strategy adaptive cache replacement method based on popularity prediction, comprising: collecting equipment request data;With time slot as unit statistics content popularity and constructs model dataset;Build content popularity prediction model based on sequence model Seq2Seq, carry out model training and the structure and weight of the trained popularity prediction model are saved to file respectively.The double strategy adaptive cache replacement method based on popularity prediction provided by the application is for the scene of industrial edge node cache, for the characteristics that data popularity changes with time, excavates the heat trend and tidal nature law of data, and proposes double strategy adaptive cache replacement algorithm and method based on Seq2Seq in combination with traditional cache replacement algorithm and deep learning method.When the prediction model encounters the request sequence of unvisited access popularity, the adaptability of the method successfully improves the cache hit rate of system, reduces network delay, and guarantees the real-time service performance of industrial edge network.

A person (the user) interested in determining the authenticity of another person (the subject) enters the subject's name and other information into a mobile app or associated website. The subject information is then sent to a server program to automatically perform iterative searches for correlated online information. The server program also executes an analysis engine to perform unique heuristic and pattern matching analysis on the subject data and search results. The analysis engine is composed of a rules-based component, a machine learning pattern discovery component, and a machine learning pattern detection component. Search and analytics results are aggregated for presentation to the user in the app and website UI, organized in a categorical manner based on topic area. The result set consists of identified subject attributes that are potential areas of concern, subject attributes aligning to certain predictive trends, and subject information found on the internet.

The application belongs to the technical field of wireless communication, and discloses a self-adaptive switching and fusion method based on Bluetooth intercom and cloud intercom, which comprises the following steps: creating a Mesh voice network; constructing a shadow chat network in a cloud network; detecting the online state of all Mesh nodes in real time, and updating the online state of the Mesh nodes in a server in real time; when a Mesh node is out of connection, other Mesh nodes not out of connection report the out-of-connection information of the Mesh node to the server, and simultaneously upload voice data of the node to the server; the server mixes the received voice data, and distributes the mixed voice data to the out-of-connection Mesh node; and the voice data between other Mesh nodes not out of connection in the Mesh network is still transmitted through the Mesh voice network. The method can smoothly switch the voice transmission channel, and keep the real-time performance and the integrity of voice data transmission.

The invention provides a product testing system and method for OAB communication, computer equipment and a computer storage medium, relates to the field of bus data testing in the aviation field, is based on a layered architecture of a control layer, an application layer, a real-time service layer and a real-time resource layer, and comprises the following steps: responding to a configuration operation of a user on a debugging interface; constructing a configuration file through a configuration module of the application layer and storing the configuration file in a test resource information management library of the control layer; in response to the test instruction, determining a target channel according to the configuration file through a control module of the application layer; in response to the starting instruction, sending excitation data to the test product and receiving response data to the test product based on the target channel through a test module of the real-time service layer; the response data are analyzed through an analysis module of the real-time service layer to obtain a test result, the test result is stored in a test data information management library of the control layer, operation monitoring is conducted on the test process through data middleware of the real-time service layer, real-time operation data are recorded, and therefore the test efficiency and the result reliability are improved.

The invention relates to the technical field of data processing, in particular to a life insurance industry-oriented model optimization method and system, and the method comprises the steps: obtaining life insurance business data, and carrying out the preprocessing and marking of the life insurance business data, and obtaining a target data set; the pre-training model is finely adjusted based on the target data set, and the importance score of at least one component in the pre-training model after fine adjustment is counted; and according to the importance score of the at least one component, pruning the pre-trained model after fine tuning by adopting a preset pruning strategy, and performing knowledge distillation training on the pruned model to obtain an optimized model, so that the optimized model is utilized to execute a life insurance service. Therefore, the problems of high reasoning delay, high computing power cost and difficulty in real-time service in an insurance scene of a language model in the traditional insurance industry are solved, the online response efficiency of the model is remarkably improved, the computing power and storage cost is reduced, the prediction precision of the model is maintained and even improved, and the industry adaptability is high.

The invention discloses a service system migration method and device, a medium and a product, and the method comprises the steps: obtaining an original online assembly in a first system and a target online assembly in a second system when a system for providing a service needs to be migrated from the first system to the second system; migrating an upstream real-time service request responded by an original online component in the first system to a target online component in the second system for response through a multi-stage online migration processing mechanism; when the multi-stage online migration process is carried out to the target migration stage, the batch tasks are switched from the first system to the second system for task response through a batch task migration processing mechanism, and according to the technical scheme of the embodiment of the invention, non-stop operation of the service system in the migration process is realized; and non-perceptual migration of the user is ensured through a progressive switching mechanism, and the technical problems of data consistency and service continuity among heterogeneous systems are solved.

It is determined that a device associated with a subscriber is accessing an online system of a service provider. Data usage information associated with the subscriber as accessed. Based on the data usage information, an offering from a plurality of offerings is selected, the offering including a service offering or a product offering. Information that identifies the offering is caused to be sent to the device for display.

The application discloses a software testing method, and relates to the technical field of servers. The method comprises the following steps: generating and binding accurate environment parameters for a testing task, intelligently distributing the task to an optimal server for execution according to real-time server load, and introducing a multi-sub-strategy retry mechanism based on task execution: when the task fails, the system can dynamically select and switch to more reasonable environment parameters according to historical execution conditions and a preset task retry strategy, and re-distribute the task to the optimal server for execution in combination with the load states of the servers. In this way, double optimization of environment scheduling and resource scheduling is realized, invalid retries are reduced, and the testing efficiency of the software testing task and the resource utilization rate are improved.

The invention discloses a decentralized medical cooperative scheduling method and system for regional medical coexistence, and relates to the technical field of medical system cooperative scheduling, and the method comprises the following steps: obtaining an atomic service and an atomic service combination relation; outputting a to-be-scheduled atomic service set according to the matching result of the atomic service of the medical service node and the real-time service request, and constructing different service paths meeting the real-time service request; and calling corresponding service data and service scores in the service information database according to the to-be-scheduled atomic service set, calculating the priority of each service path, outputting a collaborative scheduling strategy by using the service path with the highest priority, and executing collaborative scheduling. The method has the beneficial effects that the decentralized medical collaborative network is constructed through the medical service nodes, dynamic collaborative scheduling strategy output is executed according to the atomic service combination relationship and the service data provided by each medical service node, and the flexibility and privacy of medical resource scheduling are considered at the same time.

This application discloses an adaptive fault injection method, system, electronic device, and storage medium based on service mesh. The method includes: receiving an injection method that defines a service health security boundary threshold; monitoring service health indicators in real time and reporting them to a real-time analysis engine via a Sidecar agent deployed within the target service; the real-time analysis engine making adaptive decisions based on the security boundary threshold and the indicators to generate a fault injection instruction or a safe exit instruction; and the Sidecar agent executing the received instruction to perform fault injection on network traffic or stop fault injection. This application constructs an adaptive closed-loop feedback mechanism based on real-time service health indicators, which can improve the automation level, security, and efficiency of system resilience verification while ensuring that chaos experiments are conducted within a safe boundary.