471 results about "Time sensitive networking" patented technology

The invention relates to a network real-time synchronization communication system, and relates to the technical field of computer network communication. The system comprises four core modules: a hardware optical IO synchronization module which integrates a multi-wavelength optical transceiver array and an anti-jitter circuit and provides a nanosecond global clock signal, and the synchronization precision is less than or equal to 15ns; the time sequence arrangement module is used for dividing a fixed time window and a dynamic buffer window based on a time sensitive network, supporting a priority preemption mechanism of the SRIO bus and realizing deterministic data transmission; the distributed RTDATA nodes replace a traditional single-board computer, a heterogeneous computing unit and an intelligent storage controller are integrated, and protocol stack processing delay is reduced through the zero copy technology; according to the dynamic multicast routing system, a safely isolated multicast tree is constructed as required, and link load distribution is optimized in combination with machine learning. Through collaborative design of hardware optical synchronization and dynamic data arrangement, the problem of real-time performance reduction caused by multi-node communication concurrence is solved.

The invention relates to the technical field of ground mobile unmanned equipment control, and discloses a ground mobile unmanned equipment autonomous obstacle avoidance control system optimized by artificial intelligence. The system comprises an environment perception layer, a bimodal risk assessment layer, a dynamic decision-making layer, a trajectory optimization layer and a feedback optimization layer. The environment sensing layer adopts a retina fovea centralis imitating mechanism to perform non-uniform sampling on laser radar point cloud data to generate dynamic point cloud partitions; the bimodal risk assessment layer fuses two types of radar data to generate static and dynamic obstacle risk assessment diagrams; the dynamic decision-making layer establishes space-time mapping and generates an obstacle confidence coefficient matrix through a graph neural network; the trajectory optimization layer converts the matrix into a control parameter based on a multi-objective evolutionary algorithm, and issues the control parameter through a time-sensitive network protocol; and the feedback optimization layer monitors environment change, calculates deviation, generates an effectiveness index, and dynamically adjusts a point cloud acquisition strategy until the index is optimal. According to the system, the autonomous obstacle avoidance capability and adaptability of the ground mobile unmanned equipment in a complex environment are enhanced.

The present invention relates to the technical field of information processing, and provides a time-sensitive network end-to-end time synchronization method, device and storage medium, including obtaining the timestamp of the source end, performing time calibration on the time synchronization signal according to the timestamp of the source end, collecting the time of the target end after obtaining the calibrated time synchronization signal, obtaining the timestamp of the target end, analyzing the timestamp of the source end and the timestamp of the target end, obtaining the network delay value, combining the local clock information of the source end and the target end, and obtaining the corrected timestamp of the target end, and adjusting the local clock of the target end according to the corrected timestamp of the target end and the timestamp of the source end. By obtaining the timestamp of the source end and performing time calibration and analysis, and correcting the timestamp of the target end, the accuracy and stability of the end-to-end time synchronization are improved, and the problems of insufficient synchronization accuracy and unstable delay in complex network environments are improved.

A system and method, the method including determining, by a centralized user configuration function based on a core network packet delay budget (CN PDB) and a buffer duration, an allowed maximum latency of a time-sensitive network (TSN) stream transmitted between an access network device and a user plane network element, wherein the maximum latency does not exceed a difference obtained by subtracting the buffer duration from the CN PDB, sending, by the centralized user configuration function, first latency information to a centralized network configuration function, wherein the first latency information indicates the maximum latency, receiving, by the centralized user configuration function, first configuration information, wherein the first configuration information indicates a packet transmission time of the transmit end of the TSN stream, and the packet transmission time is associated with the maximum latency, and sending the first configuration information to the transmit end of the TSN stream.

The invention discloses a new energy control execution system and method based on a multi-market coupling mechanism, and relates to the technical field, and the method comprises the following steps: obtaining a control signal of a multi-source market, and carrying out the synchronization verification of the control signal of the multi-source market based on a time-sensitive network and a local alignment caching method; performing semantic consistency analysis and conflict judgment and fusion on the verified control signal, and outputting a control instruction set based on the dynamic priority; constructing an interactive mapping matrix with the new energy equipment according to the control instruction set, and adaptively executing a control action on the new energy equipment based on the interactive mapping matrix and performing feedback; according to the method, an integrated control mechanism integrating time synchronization guarantee, semantic conflict analysis and adaptive control is constructed, so that the timeliness, consistency and accuracy of the new energy equipment in responding to the multi-source market control signals are remarkably improved, and accurate matching and adaptive execution of the new energy equipment on the control instructions are realized.

The invention belongs to the technical field of network transmission, and particularly relates to a time-sensitive network flow routing and scheduling method based on centralized control. Comprising the steps that CNC constructs network topology and generates global topology information; the CUC collects demand information of each to-be-transmitted traffic from each source node and divides traffic priorities according to the demand information; the CNC generates an optimal transmission path for each flow according to the global topological information; the CNC distributes a transmission time slot for each flow and dynamically adjusts the transmission time slot; carrying out synchronous distribution on the optimal transmission path and the transmission time slot, optimizing the transmission time slot and controlling the jitter of the transmission time slot; a scheduling table is generated according to the final distribution result of the paths and the time slots, and the CNC distributes the scheduling table to each network device; when the network state is changed, the scheduling table is dynamically adjusted to realize real-time routing and scheduling of the flow; according to the invention, the dynamic management of the flow priority is realized, the utilization rate of network resources is enhanced, and the service quality and high availability of transmission are ensured.

The invention relates to the technical field of coal mine fully mechanized mining, in particular to a coal mine communication network system based on a time-sensitive network, and the system comprises a wired communication system, the backbone network of the wired communication system is composed of a plurality of TSN network switches which are in ring network topology connection, and the wired communication system is used for accessing coal mine equipment as a terminal to a TSN network; the wireless communication system is connected with the wired communication system, consists of wireless communication equipment compatible with a TSN protocol, and is used for accessing the coal mine equipment into a TSN network through wireless connection; a communication system based on a time sensitive network (TSN) is established, a real-time, determined and reliable communication network is provided for a coal mine production system, wired and wireless communication systems are adopted, the whole coal mine production control system is covered together, and the requirement of automatic control for data communication is met.

The invention provides a vehicle-mounted Ethernet physical simulation demonstration system and method based on a time sensitive network, the system comprises an Ethernet communication subsystem, a TSN communication subsystem and a simulation upper computer, a TSN protocol configuration module receives an instruction of the simulation upper computer through the Ethernet and dynamically adjusts protocol parameters; the vehicle-mounted Ethernet physical simulation demonstration system constructs a vehicle-mounted Ethernet physical topology through hardware nodes of the vehicle-mounted Ethernet physical simulation demonstration system, realizes protocol function verification in combination with the TSN communication subsystem, and realizes communication performance analysis, scheduling mechanism optimization and real-time performance test under multiple scenes through the simulation upper computer. Cooperative work and mutual compatibility of time-sensitive network scheduling algorithms are detected and verified, and a reliable simulation platform is provided for interconnection and intercommunication of a vehicle-mounted network architecture and access of equipment such as any sensor.

The invention relates to the technical field of time-sensitive networks, and particularly provides a round-robin queue forwarding scheduling model and method for mixed time-sensitive traffic, and a terminal. The circular queue forwarding scheduling model comprises a delay sensitive queue, a first time sensitive queue and a second time sensitive queue. The method comprises the following steps: creating two time slot systems; defining fixed injection time and a queue scheduling strategy for the time-triggered traffic; carrying out pre-scheduling planning according to the knowability of the time-triggered stream, and obtaining injection time corresponding to the time-triggered stream and a corresponding injection queue; and for the emergently arrived event trigger flow, incremental scheduling is carried out according to real-time link resources, and a suitable time slot is obtained for forwarding. According to the invention, the event trigger traffic and the time trigger traffic are placed in different queues, and the model designs a scheduling mode of the corresponding event trigger traffic, so that the isolation of traffic types is effectively realized, the scheduling and forwarding of the time sensitive traffic are optimized, and the network communication efficiency is enhanced.

Methods and apparatus for Time-Sensitive Networking Coordinated Transfer Learning in industrial settings are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to cause performance of an operation by a first machine according to a first configuration, process a performance metric of the performance of the operation by the first machine to determine whether the performance metric is within a threshold range, and in response to a determination that the performance metric is not within the threshold range, cause performance of the operation by a second machine according to a second configuration different from the first configuration.

One example method includes accessing at a Time-Aware Scheduler (TAS) of a Time-Sensitive Networking (TSN) network a plurality of data packets, where each data packet includes a data packet priority that defines an order for transmitting the plurality of data packets by the TSN network; grouping the plurality of data packets into a cluster according to the data packet priorities, the cluster identifying a first TSN network state; applying a first machine-learning model to the cluster to determine a TAS cycle policy that defines a timing schedule for data packet transmission in the TSN network; and providing the TAS cycle policy to components of the TSN network.

In an aspect, systems and methods of connected nodes, including electronic control units (ECUs) in a vehicle, integrate remote direct memory access (RDMA) capabilities with time-sensitive networking (TSN) traffic shaper configurations in a manner that guarantees lossless, bounded-latency critical traffic (CT) streams, while also allowing for different classes of traffic to flow through the connected nodes. In another aspect, mechanisms are introduced to enable an automotive software framework (e.g., classic AUTOSAR) to support RDMA communications.

The invention discloses a priority scheduling method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of communication. According to the specific implementation scheme, the method comprises the steps of determining a priority code point PCP queue of a fixed service and the sending time of the fixed service in the PCP queue through a user configuration module CUC in a time sensitive network TSN, and determining a gating configuration list corresponding to the PCP queue; determining a transmission performance index corresponding to the service characteristic of the dynamic service; and in a twin model of the TSN, according to the dynamic service and the transmission performance index, determining a PCP queue of the dynamic service and the sending time of the dynamic service in the PCP queue. The problem of distributing priority queues for services in a time sensitive network TSN is solved, high adaptability and robustness are achieved, the PCP queues in the TSN are efficiently utilized, meanwhile, the twinborn model is introduced, the complexity of PCP queue configuration is reduced, and resource waste is reduced.

The invention provides a network configuration method and device, a storage medium and a program product, relates to the technical field of communication, and solves the technical problem of low network configuration efficiency in related technologies. The method is applied to a network configuration device, and comprises the following steps: acquiring network topology structure information of a time-sensitive network; the network topology structure information is used for indicating available communication links in the time-sensitive network; acquiring network flow information of the time-sensitive network; determining configuration information of the time-sensitive network based on the network topology structure information and the network flow information; and sending the configuration information to network equipment in the time-sensitive network.

The invention relates to the technical field of network communication, in particular to a logistics equipment unified access method based on multi-protocol conversion. The specific implementation process comprises: establishing a model comprising a source logistics device, a target logistics device, a protocol conversion gateway and a time-sensitive network, wherein the time-sensitive network comprises a network master clock; the protocol conversion gateway and the network master clock are periodically synchronized, an original data packet of the source logistics equipment is analyzed, and data content and a source identifier containing a time sequence relation are extracted; through an adaptive mapping rule, mapping the data content and the source identifier into a time-sensitive network traffic category containing predetermined traffic, and obtaining a gating scheduling strategy of the time-sensitive network traffic category; and the data content is converted and packaged into a time-sensitive network data frame, and the time-sensitive network data frame is sent to the target logistics equipment according to a gating scheduling strategy. According to the invention, the access accuracy and stability of the logistics equipment are realized by fusing protocol conversion and the time-sensitive network.

Disclosed in the present application are a service flow scheduling method, apparatus and device based on deep reinforcement learning, and a medium. The method comprises: acquiring target data, wherein the target data comprises a current target topology state, current target service flow information and current target link information of a time-sensitive network; and inputting the target data into a deep reinforcement learning model to obtain a scheduling scheme, so as to implement scheduling of service flows on the basis of the scheduling scheme, wherein the deep reinforcement learning model comprises an agent and an environment, the agent is configured to determine gate control orchestration of the scheduling scheme, and the environment is configured to determine slot orchestration of the scheduling scheme on the basis of the gate control orchestration.

The invention relates to the technical field of satellite communication networks and on-board buses, in particular to a data deterministic transmission scheduling method for a satellite-borne time-sensitive network. The method comprises the following steps: constructing a satellite-borne network architecture, connecting each terminal and a bus gateway by a TSN management node to form a unified data bus, distributing priority and monitoring link state; performing feature modeling on the data frames to define six-tuple parameters; designing a hierarchical queue architecture comprising a key task queue, a load data queue and a background traffic queue; a dynamic shaping mechanism is adopted, corresponding shaping devices are arranged for different queues, and parameters are set; the invention further provides an anti-disturbance scheduling strategy which comprises dynamic priority improvement and elastic bandwidth allocation. And finally, performing output scheduling according to a strict priority and a weighted fair queue rule. According to the method, by constructing a unified TSN bus and integrating heterogeneous subsystems, low-delay and low-jitter transmission of key task data is realized, the bandwidth utilization rate of scientific load data is improved, the network reconstruction time is shortened, the anti-interference capability is enhanced, and satellite-borne mixed data stream transmission in a high-dynamic and multi-task scene is effectively optimized.

The invention provides a servo press control system and method based on a time-sensitive network, and relates to the technical field of intelligent manufacturing and industrial automation control, and the system comprises a time-sensitive network TSN which is used for providing global time synchronization and deterministic data transmission; a main controller of the multi-axis servo control unit is used for issuing a motion control instruction and a feeding and discharging control instruction through a TSN. A robot controller in the robot feeding and discharging unit is used for driving an industrial robot to execute plate taking and placing operation under the action of the feeding and discharging control instruction. The visual monitoring unit comprises an industrial camera accessed to the TSN and is used for collecting images and transmitting image data to the edge computing node through the TSN; the edge computing node is used for processing the image data to generate a compensation instruction and feeding back the compensation instruction through the TSN; and the upper monitoring system is used for subscribing real-time data published by the edge computing nodes, so that the control range of the servo pressure control system is expanded, and the convenience of data transmission and interaction is improved.

The invention belongs to the technical field of unmanned aerial vehicle power inspection, and discloses a multi-module cooperative control method for an unmanned aerial vehicle power inspection system based on a visual language model. The precise mapping of the natural language instruction and the inspection task is realized; a user does not need to depend on professional coordinate input, and target equipment and key parts can be positioned only through daily inspection verbal skills; meanwhile, a priority evaluation model and a task snapshot mechanism constructed by an analytic hierarchy process support rapid insertion and progress recovery of temporary high-priority tasks, so that the emergency troubleshooting requirement of sudden equipment exceptions can be met, orderly promotion of conventional inspection can be guaranteed, and intelligence and flexibility of substation inspection are improved; the cooperative bus built based on the time-sensitive network realizes efficient data synchronization of a plurality of modules such as a fusion model, navigation, visual acquisition and the like.

A wireless device may be configured to perform a method including receiving, from a time sensitive network (TSN) translator device, a TSN parameter. The wireless device may also send, to an access and mobility management function (AMF), a non-access stratum (NAS) message indicating a request to establish a protocol data unit (PDU) session comprising the one or more TSN parameters. The wireless device may receive, from the AMF, a message indicating acceptance of the PDU session.

The invention relates to a method for enhancing data transmission reliability of a time-sensitive network, and belongs to the technical field of industrial control. The method comprises the following steps: searching all alternative paths in a TSN network, and calculating a working path Pw based on path reliability; selectively deploying a frame replication and frame elimination node FN according to the node reliability; extracting an alternative redundant path set, and determining a redundant path combination Pr in the alternative redundant path set according to the redundancy; and outputting the combination FN of the frame copy node and the elimination node, and the optimal main redundant path combination P. The method comprises the following steps of: firstly, selectively deploying nodes with frame copying and eliminating functions by utilizing the thought of segment protection, and inclining protection resources to other paths while meeting the reliability requirement, so that the efficient utilization of the resources is realized; secondly, by considering the influence of link and node attributes on data delivery reliability, an optimized redundant path is extracted under the condition that the requirement of data redundancy is met, so that the reliability of data transmission is improved.

The multi-agent cooperative scheduling method for the incremental mixed flow in the industrial time-sensitive network comprises the following steps: analyzing transmission characteristics of an AVB flow and a TT flow in the industrial time-sensitive network, and carrying out refined modeling on dynamic interference caused by the increment of the mixed flow based on a network calculation theory; determining key transmission management variables of the AVB stream and the TT stream in combination with a dynamic interference factor introduced by the incremental mixed stream; designing a flow scheduling model based on multi-agent cooperation, and generating an end-to-end transmission scheme based on multi-agent cooperation decision when incremental mixed flow is accessed; and packaging the trained agents into a multi-agent cluster and deploying the multi-agent cluster into an industrial time-sensitive network for generating a transmission scheme for the incremental mixed flow on line. According to the method, the transmission requirement of the incremental mixed flow can be met while the existing AVB flow delay constraint is guaranteed, the transmission scheme is optimized to improve the service quality of an industrial time-sensitive network, and stable operation of advanced applications in the industrial Internet of Things is fully supported.

The invention relates to the technical field of photovoltaic energy storage optimization control, in particular to a photovoltaic energy storage integrated charging and discharging control method and system, and the method comprises the steps: collecting a multi-mode signal, and carrying out the synchronization and denoising of a time-sensitive network, and then carrying out the fusion; generating heat source power density, battery aging parameters and linear embedding state data by using a liquid nerve-thermal power and electrochemical coupled digital twin system; on the basis of a space-time Gaussian process sampling probability scene of the state data, high-dimensional super-symbol coding and mutual information screening compression scene set, determining an optimal charging and discharging state in a quantum-variable temperature global optimization model by combining aging parameters, and generating a reference power trajectory; the neuromorphic chip operates convex model prediction control to output a real-time power instruction; and the inverter executes charging and discharging through pheromone game and self-distillation reinforcement learning, triggers the super capacitor support when the frequency is abnormal, and executes data writing-in distributed account book closed-loop updating. According to the invention, millisecond-level power tracking is realized, and cyclic stress is reduced.

The invention discloses a traffic scheduling method and device for a time-sensitive network and electronic equipment, and relates to the technical field of computer networks and communication. The method comprises the following steps: acquiring a network topology of a time-sensitive network, and abstractly modeling the network topology into an undirected graph which is used for representing all network nodes and all communication links in the network topology; obtaining a traffic demand in the undirected graph; converting the traffic demand and the network topology into mathematical constraints in a satisfiability model theory; based on mathematical constraints, determining a target scheduling scheme on the basis of maximizing the priority satisfaction rate; and performing traffic scheduling according to the target scheduling scheme. According to the invention, the target scheduling scheme is determined by maximizing the priority satisfaction rate, more accurate and efficient network traffic scheduling is realized, and the technical problem that an existing scheduling scheme has obvious insufficiency in the aspect of priority satisfaction of traffic demands in the aspect of coping with complex demands of upper-layer services is solved.

The invention relates to the technical field of time-sensitive networks, in particular to a frame preemption method for a sending node and a receiving node in a time-sensitive network, sending equipment and receiving equipment. The frame preemption method comprises the following steps: when a current to-be-transmitted frame is a middle-priority frame and a currently-transmitted frame capable of being preempted meets a first frame preemption condition, performing frame preemption transmission on the current frame capable of being preempted according to a frame preemption loose mode; judging whether the time delay of the current preemptable frame and the middle-priority frame meets a time delay requirement or not; if yes, fragmenting the subsequently transmitted preemptible frame with a default fragmentation length to perform frame preemption transmission; and if not, adjusting the default fragment length, and fragmenting the subsequently transmitted preemptible frame according to the adjusted default fragment length so as to perform frame preemptive transmission. According to the invention, on the premise of ensuring the time delay bounded property of the high-speed frame, the time delay bounded property of the preemptable frame is ensured, and the resource utilization rate and the network efficiency in the time-sensitive network are improved.

The invention provides a clustering-based QoS mapping method and device for a 5G-TSN, and relates to the technical field of 5G time-sensitive network converged communication. The method comprises the following steps: a TSN flow QoS acquisition module sends an acquired TSN flow QoS index to a TSN flow aggregation module; the TSN flow aggregation module performs flow aggregation processing on the TSN flow QoS index through an enhanced density space clustering algorithm to obtain an aggregated flow; the TSN flow aggregation module sends the aggregation flow to a 5QI mapping module; and the 5QI mapping module performs dynamic QoS mapping processing on the aggregation flow through a fuzzy logic algorithm to obtain a mapping result. According to the invention, the TSN service flow can be accurately matched with the 5G QoS parameter, and the problem that the traditional mapping method is rigid and poor in dynamic adaptability can be solved.

A communication system includes a core network and a radio access network including a central unit communicatively coupled to (i) the core network via a backhaul network, and (ii) a plurality of distributed units via a fronthaul network. Each of the distributed units is co-located with a radio unit and comprises a multi-access edge computing (MEC) module. The MEC module of each of the distributed units comprises one or more processors and memory storing one or more programs to be executed by the one or more processors, the one or more programs including instructions for controlling a time-sensitive networking (TSN) configuration and executing one or more MEC applications using the TSN configuration.

The invention discloses a 5G-TSN network resource scheduling method based on a near-end strategy optimization algorithm, which completes 5G-TSN network resource scheduling by establishing a 5G wireless channel model, constructing a Markov decision process model and realizing action value output and strategy optimization through the near-end strategy optimization algorithm. According to the network resource scheduling method provided by the invention, a dynamic resource allocation strategy is realized based on gating state sensing, ultralow delay services such as robot control instructions and the like can be preferentially scheduled when gating of a time-sensitive network is started, and non-real-time services such as resource transmission video monitoring and the like can be intelligently multiplexed when the gating of the time-sensitive network is closed; the wireless resource utilization rate is effectively improved, meanwhile, it is ensured that data with high real-time performance can be transmitted as soon as possible in a short time, reliable transmission of equipment data in an industrial scene is ensured, scheduling mechanisms of a 5G wireless network and a time-sensitive network are fused, resource scheduling is efficiently carried out, and the real-time performance, reliability and resource utilization rate of data transmission are balanced.

Embodiments of the present application provide a multi-session implementation method, a network device, and a computer-readable medium. The method comprises: a first network function receiving at least two protocol data unit (PDU) session creation requests sent by a terminal UE, wherein the at least two PDU session creation requests carry the same media access control (MAC) address and the same port management information (PMI), and the MAC address is an Ethernet port MAC address of a UE-side time-sensitive networking (TSN) translator; and creating PDU sessions on the basis of the at least two PDU session creation requests, wherein the PDU sessions have one-to-one correspondence to the PDU session creation requests.

A system to support time sensitive networking (TSN) in a 5G system is described. The TSN application function (AF) sends to a device-side translator a Port Management Information Container (PMIC) and port number that has a Stream Identification type value and Stream Identification controlling parameters that depend on the Stream Identification type value for per-stream policing and filtering in a distributed bridge. During establishment of the bridge, the network-side translator port numbers are provided to the TSN AF in a Bridge Management Information Container (BMIC). Any PDU session of the bridge is able to be selected for Ethernet port and Bridge management procedures between the network-side translator and the TSN AF.