28 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.

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.

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.

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 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.

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.

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 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 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.

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.

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.

This invention provides a circular queuing and forwarding method based on shadow queues to absorb time variations, relating to the field of time-sensitive networking technology. The method includes: S1, filtering data frames that meet real-time service conditions; S2, combining the arrival time of the data frame, the global synchronization clock, and the period offset, controlling the gating time window opening and closing state of the sub-queue to be delayed relative to the main circular queue, and selecting a target queue to receive the data frame; S3, generating period tags for the data frames in each target queue; and S4, sending the data frame based on the period tags. This invention, based on the circular queuing and forwarding mechanism, introduces a shadow queue composed of two sub-queues, and sets the gating time window opening and closing state of the sub-queue to be delayed relative to the main circular queue. This allows the sub-queue to receive delayed data frames and catch up with normally arriving data frames when sending data frames, thus ensuring that the data stream is transmitted within a precise time period.

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.

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, 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 disclosure provides an auxiliary decision-making method and device, relates to the technical field of information technology, and particularly relates to the technical field of natural language processing, large models, digital medical treatment and the like. The specific implementation scheme is: receiving real-time service information of a consultation service order of an inquiring subject and a medical subject; identifying an inquiring intention of the inquiring subject based on the real-time service information; in response to detecting that the inquiring intention is a subject inquiring intention, identifying whether the inquiring subject is a subject to be concerned based on the real-time service information; in response to identifying that the inquiring subject is the subject to be concerned, determining labeling information of the consultation service order based on the real-time service information, and sending the labeling information to a terminal corresponding to the medical subject, thereby effectively assisting the medical subject in identifying the symptom of the inquiring subject.

The invention provides a website management method and device based on dynamic grid division, electronic equipment, a medium and a program product, and can be applied to the technical field of artificial intelligence, the technical field of block chains and the technical field of Internet of Things. The method comprises the following steps: acquiring service area grids and multi-source real-time data of a plurality of network points; calculating the real-time service load of the service area grid based on the multi-source real-time data, and generating a grid load weight; in response to the condition that the grid load weight of any network point meets a preset adjustment condition, updating the grid boundary of the service area grid; and performing customer demand prediction and / or resource scheduling strategy generation for the plurality of network points based on the updated service area grid.

The invention relates to a multi-terminal-oriented rapid live broadcast creation and low-delay distribution method and system, and relates to the field of streaming media transmission, and the method comprises the steps: building a pre-connection channel in response to a multi-platform live broadcast creation request and a platform identifier; when it is judged that the abnormal live broadcast platform exists, a specific standby platform is selected; generating an edge node scheduling instruction and a dynamic routing configuration parameter based on the specific standby platform and the real-time service parameter of the specific standby platform; switching the video stream from the pre-connection channel of the abnormal live broadcast platform to the pre-connection channel of the specific standby platform, and synchronously triggering the migration and synchronization of the associated service data; and in response to an edge node scheduling instruction and a dynamic routing configuration parameter, scheduling an edge computing node corresponding to the specific standby platform to take over the distribution of the video stream, and distributing the live broadcast stream to the user terminal along the optimized transmission path, thereby completing low-delay distribution. The method and the device have the effect of improving the consistency of watching experience.

The present invention discloses a generative AI system for real-time services combining a high-performance lightweight language model based on H-MoE and RAG, executable in an on-device CPU environment, which can provide smooth and reliable real-time services in an on-device CPU environment by applying high-performance lightweight LLM-RAG technology and configuring the model as H-MoE, and providing answers or results through an appropriate Expert Model based on multimodal context recognition. The present invention comprises: an LLM module equipped with an internal database based on multimodal data including text, sensor data, and image data, and external knowledge data based on RAG, wherein semantic-based search is performed by embeddings; and a dynamic emotion recognition module in which the influence of elements constituting a space of lighting, color, and sound on user emotion is analyzed based on natural language understanding and sensor data of the LLM module.

Aspects of the present disclosure are directed to a method of establishing a real time service at a user equipment via a non-terrestrial network, NTN node, of a communications network, the method comprises: receiving at a first NTN node of the communications network a request to set up a real time service from an associated user equipment; detecting that the first NTN node is unable to connect to a terrestrial entity of the communications network; sending to the user equipment a message comprising carrier frequency information of one or more cells of a second NTN node which is able to connect to a terrestrial entity of the communications network to provide real time services; and causing, at the user equipment, initiation of the requested real time service via the second NTN node of the communications network.

The invention discloses an edge intelligence-based on-satellite lightweight core network fusion management and control method and system, the method is applied to a target satellite carrying an on-satellite lightweight core network and an edge intelligent platform, and the method comprises the following steps: when the on-satellite lightweight core network detects a service request triggered by a terminal, sending the service request to the edge intelligent platform; the on-satellite lightweight core network executes access authentication on the terminal according to the service request, and executes a first service response operation on the service request to obtain a first service response result when a corresponding access authentication result shows that the authentication is passed; when the first service response result represents the low-delay edge service, the edge intelligent platform executes a second service response operation on the received first service response result to obtain a second service response result; and the on-satellite lightweight core network feeds back the second service response result transmitted by the edge intelligent platform to the terminal. Therefore, by implementing the method, accurate adaptation of the satellite load capacity can be realized, the service time delay is reduced, and the autonomous real-time service capacity of the satellite is improved.

The application provides a hot data prediction loading method and system for real-time services, relates to the technical field of cloud services, and first collects user access behavior data, business scenario context data, system running state data and data object attribute information to generate a joint state feature description vector at the current moment, screens potential hot data objects from full data objects according to the joint state feature description vector, forms a candidate set, predicts the access probability of each data object in the candidate set in a future time window, obtains an access heat score, combines resource cost and service priority to generate a preloading strategy parameter set containing multiple parameters, finally performs cross-node collaborative migration and cache preheating and other operations according to the preloading strategy parameter set, and performs feedback loop and adaptive optimization processing according to actual access results and system performance feedback indexes, dynamically adjusts the model and the strategy parameters, so that efficient and accurate hot data prediction loading is realized, and the demand of real-time services is met.

The invention discloses an accelerator control device adaptive to a real-time adaptive radiotherapy management system, and relates to the field of medical science and technology, and the method comprises the steps: the accelerator control device at least comprises a radiotherapy execution management layer, a real-time service layer and a real-time control hardware layer, and the radiotherapy execution management layer is used for bearing a management function related to a radiotherapy process; the real-time control hardware layer is used for driving an execution mechanism of the radiotherapy accelerator; the real-time service layer is arranged between the radiotherapy execution management layer and the real-time control hardware layer; the real-time service layer is used for receiving and analyzing a dynamic control instruction from the real-time self-adaptive radiotherapy management system and converting the dynamic control instruction into a control signal; and the real-time service layer is also used for sending the control signal to the real-time control hardware layer. The technical problem that a system cannot efficiently respond to dynamic treatment adjustment due to the fact that the coupling degree between hardware equipment and a self-adaptive treatment decision-making system in an existing radiotherapy accelerator control device is low and a real-time collaborative feedback mechanism is lacked is solved.

The invention relates to the technical field of digital information transmission, and discloses an anti-hijacking CDN node scheduling method and system based on HTTPDNS, and the method comprises the steps: transmitting a scheduling request to an HTTPDNS server, and receiving an initial CDN node IP list returned by the server; calculating an initial sorting score for each node IP and dividing a node IP list into a priority detection set and a candidate detection set based on the geographic position matching degree and the ISP topological proximity and by fusing historical performance scores; joint detection is carried out on nodes in the priority detection set, and network round-trip time detection is carried out on the candidate detection set; calculating a real-time service quality index of each node according to a detection result, and weighting and calculating a scheduling score in combination with the initial sorting score and the penalty score; a connection quality snapshot is generated for the optimal node of the scheduling, and a network quality abstract is updated; if the scheduling node connection fails, setting a cooling period; and if the scheduling request continuously fails, performing local polling scheduling. The scheduling decision provided by the invention is more efficient for the detection mechanism of the candidate nodes.

This invention proposes a business travel intelligent assistant system driven by a large language model, comprising a user interaction module, a large model processing module, a data storage module, a service interface module, and a learning and optimization module. The user interaction module receives the user's business travel needs information via natural language input or a graphical interface and transmits this information to the large model processing module. It then feeds back the response results and planning schemes generated by the large model processing module to the user. Based on the parsing results, combined with historical user data obtained from the data storage module and real-time service data obtained from the service interface module, it performs reasoning and decision-making to generate business travel planning schemes, answer queries, or handle unexpected situations. This system solves the problems of existing business travel booking systems that cannot intelligently understand complex user needs, lack personalized dynamic planning capabilities, and struggle to respond to sudden changes in travel itineraries in real time, resulting in fragmented user experiences and low operational efficiency.