摘要
在工业4.0的背景下,实时工业应用面临着通信方面的重大挑战。供热网络中调度控制数据、监测数据、监控视频数据混合传输,为确保指令下发迅速,事故及时报警,具有低时延、低抖动和低丢包率等特点的TSN技术得到了应用。然而,目前TSN的研究多限于有线传输,传统工业无线网络无法提供确定性调度服务。将时间敏感网络延伸至无线传输领域,通过增加抖动约束与信道使用量约束,以及利用SMT完成求解,提出了一种解决方案,以保证流量时延和抖动的确定性传输。具体而言,在传统802.1Qbv数据帧约束、链路约束、流量传输约束、实时约束和隔离约束的基础上,采用了抖动约束与信道使用量约束,实现了无线信道资源的合理分配,从而提高了并发传输数据量。仿真结果表明,无线调度具备了更高的求解兼容性,可有效地提高传输数据量,在牺牲一定时延的基础上,实现了低抖动约束下的确定性传输。
Under the background of Industry 4.0,real-time industrial applications are facing significant communication challenges.The dispatching control data,monitoring data and monitoring video data in the heating network are transmitted in a mixed way.To ensure the prompt issuance of instructions and timely alarm of accidents,TSN technology has been applied,due to its characteristics of low latency,low jitter,and low packet loss.However,current TSN research is mostly limited to the wired transmission,and traditional industrial wireless networks cannot provide deterministic scheduling services.This paper extends time-sensitive networks to the wireless transmission field.A solution is proposed to ensure deterministic transmission of traffic latency and jitter by adding jitter constraints and channel utilization constraints and using SMT to complete the solution.Specifically,based on the data frame constraints,link constraints,traffic transmission constraints,real-time constraints,and isolation constraints in traditional 802.1Qbv,this paper uses jitter constraints and channel utilization constraints to achieve reasonable allocation of wireless channel resources,thereby increasing the concurrent transmission data volume.Simulation results show that the wireless scheduling has higher solution compatibility and effectively improves the transmission data volume,and the deterministic transmission under low jitter constraints is realized based on sacrificing a certain amount of latency.
作者
曹旭
周学哲
宋亚平
蔺伟
CAO Xu;ZHOU Xuezhe;SONG Yaping;LIN Wei(Cangzhou City Heating Co.,Ltd.,Cangzhou 061000,China)
出处
《移动通信》
2023年第8期28-32,45,共6页
Mobile Communications
基金
国家重点研发计划“面向智能工厂的现场级工业物联网关键设备研发”(2018YFB1702100)。