372 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 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 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.

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 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 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.

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.

Systems, apparatus, articles of manufacture, and methods are disclosed for virtual execution environments and interface circuitry in time-sensitive networking. An example compute device includes interface circuitry, machine-readable instructions, and at least one programmable circuit to be programmed by the machine-readable instructions. The example at least one programmable circuit is to be programmed execute a first application for a time-sensitive network (TSN) in a first virtual execution environment (VEE) and execute a second application for the TSN in a second VEE. Additionally, the example at least one programmable circuit is to cause first real-time traffic to be sent from the first application to the interface circuitry based on a first schedule and cause second real-time traffic to be sent from the second application to the interface circuitry based on a second schedule such that transmission of the first real-time traffic does not occur at the same time as transmission of the second real-time traffic.

The invention discloses a piece placing sequence mistake proofing device which comprises a multi-dimensional sensing module, an intelligent control module, a reconfigurable positioning module, an execution intervention module, a block chain tracing module and a man-machine interaction module, and all the modules communicate through an industrial Ethernet. The multi-dimensional sensing module and the intelligent control module adopt a time-sensitive network protocol to guarantee the certainty of data transmission, the multi-dimensional sensing module integrates an AI vision assembly, an ultrahigh frequency radio frequency identification read-write unit and a polarized light detection assembly, and parallel acquisition and cross validation of cutting piece multi-dimensional information are realized through a time sequence synchronous triggering mechanism. According to the method, a full-dimensional recognition system can be constructed through cooperation of multi-modal sensing fusion and an intelligent algorithm to avoid a single detection blind area, multi-variety production requirements are adapted by relying on AI incremental learning and rapid remodeling design, non-tampering tracing of quality data is realized in combination with a block chain technology, and the method is suitable for mass production. And meanwhile, reliable operation of the system is guaranteed through redundancy control and emergency design.

Disclosed examples determine a first time corresponding to a start of a window for a data exchange; determine a second time corresponding to a data packet sent during the window; calculate link performance data based on the first time and the second time; and transmit the link performance data to a network configuration entity.

The invention particularly relates to an incremental scheduling method for deterministic services of a time-sensitive network, and belongs to the technical field of scheduling of the time-sensitive network. Aiming at the problems of high conflict detection overhead under dynamic access, large search scale of a long-short period mixed scene, reduced schedulability caused by time slot fragments and the like, the method comprises the following steps: constructing a scheduling model, and performing multi-rule sorting and route pre-selection on to-be-accessed services; time granularity scaling and periodic modular domain projection technologies are introduced, multi-link and multi-period conflict detection is converted into bitmap operation in a single period, and a modular domain taboo table is rapidly generated; a conflict-free sending phase is efficiently searched based on bitmap operation, a comprehensive cost function integrating fragment sensing, time delay and load balancing is adopted for multi-dimensional evaluation, and an optimal scheduling scheme is selected. According to the method, the efficiency and the real-time performance of online incremental scheduling can be remarkably improved, the search overhead is reduced, time slot fragments are reduced, and the service scheduling success rate in a high-load scene is improved.

The invention discloses a carrier rocket avionics system based on a TSN (Time Sensitive Network) and a carrier rocket avionics data transmission method, and belongs to the technical field of carrier rocket control. A network is physically or logically divided into a periodic time-sensitive data stream, a high-speed time-sensitive data stream and a best effort data stream, the three data streams are subjected to isolation management, and transparent interconnection between a 1553B bus network and a TSN switching network is realized on a protocol layer through an intelligent protocol conversion gateway. Meanwhile, in a network management layer, through an instruction response type configuration protocol, common Ethernet equipment is seamlessly incorporated into the global scheduling and control category of the TSN network. According to the invention, by constructing the avionics network system with three-layer partition and dual-network fusion, multi-network seamless fusion on the rocket can be realized, the real-time performance of the network is improved, and the key requirements of rocket recovery are met.

The invention discloses a robust transmission method for time-sensitive network fault uncertainty, and relates to the field of industrial Internet of Things. According to the method, the fault uncertainty model and the double-layer robust optimization framework are constructed, the method adapts to complex and changeable link fault scenes in the industrial environment, deterministic transmission of key flow can be guaranteed under the worst fault condition, unpredictable interference such as temperature fluctuation and mechanical vibration can be effectively handled, and the anti-risk capacity of the network is remarkably improved. On the basis of an optimization model of mixed integer linear programming, in combination with constraint linearization and hierarchical solution architecture, the exponential complexity of full-space search is reduced to a polynomial level, and routing and scheduling optimization of a large-scale network can be completed within millisecond time. Through a space-time dimension conflict avoidance and resource reservation mechanism, the bandwidth utilization rate is maximized and the occupation of redundant resources is reduced on the premise of ensuring the real-time performance of high-priority services.

The present disclosure relates to a 5G or pre-5G communication system for supporting a higher data transmission rate than a 4G communication system such as LTE. The present invention relates to a method for an application function (AF) entity for time sensitive communication (TSC) in a wireless communication system, the method comprising the steps of: obtaining first delay-related information on a time sensitive network (TSN); obtaining second delay-related information on a 5th generation system (5GS); and transmitting, to a policy control function (PCF) entity, a quality of service (QoS)-related request based on the first delay-related information and the second delay-related information.

The invention relates to a time-sensitive network gating scheduling optimization method and system based on reinforcement learning, and belongs to the field of time-sensitive network scheduling. According to the method, data flow and network topology information are collected, a graph neural network is adopted for feature coding, a reinforcement learning model of a two-stage action space is designed for routing selection and gating decision making, and an early scheduling time slot allocation algorithm and a hierarchical training strategy are combined, so that the routing accuracy is improved. The problems that a traditional scheduling method is high in calculation complexity and gating list entries are increased sharply are effectively solved, the gating entries are minimized on the premise that time delay and jitter constraints are met, and the schedulable rate and deployment feasibility under a complex topology and multi-cycle flow set are improved.

The present invention discloses a method and system for efficient configuration of a time-sensitive network based on hardware acceleration, pertaining to the field of wired communication networking technology. The method includes an acquisition step, a preprocessing step, a scheduling step, a generation step and a deployment step. The scheduling step, according to an operating state of a scheduling engine, based on attribute information of to-be-configured data streams, selects a time slot length, calculates a hyperperiod, depending on a size of the hyperperiod, carries out any of hyperperiod based parallel scheduling or conflict-group based parallel scheduling, obtaining a scheduling result, and thereby generates and deploys a configuration scheme to network devices. The present invention is able to, based on on-site network and terminal device conditions, derive global deterministic scheduling and configuration schemes and enables rapid distribution and deployment.

The invention discloses an industrial task unloading optimization method integrating edge computing and a time sensitive network. According to the method, a TAS in a TSN is introduced to reduce time delay and jitter in task transmission; the method comprises the following steps: firstly, determining unloading selection of a task in a current time slot and a transmission power control decision through an MAPPO algorithm, and adjusting priority distribution in a reward function according to a deadline of a task flow; and then, a convex optimization method is introduced to allocate required computing resources for the task flow according to the decision results, and energy consumption optimization is carried out. The method has the advantages that the respective advantages of the EC and the TSN are utilized, and the designed algorithm not only can process the dynamic task unloading and computing resource allocation problems of heterogeneous tasks, but also can optimize the average total time delay and energy consumption of the system while ensuring that high-priority tasks are completed.