工业互联网数据服务建模及确定性算法研究

Research on data service model and deterministic algorithm of industrial internet

5G开放的服务能力改变了工业互联网数据服务过程,工业业务向5G网络迁移时既应考虑云化下多数据过程的协同,也应考虑网络化服务的冲突避免。为此以电力行业为例,提出Petri Net数据服务模型对业务时序逻辑和网络功能统一建模分析,保证数据可达可用;并基于可达图设计了VIKOR网络编排算法,从时空维度保障多业务流的确定性数据过程和执行时间。仿真分析表明所提方法能规避工业业务迁移后的数据冲突,提升部署效率;电力5G试验网现场测试验证了本方案能保障承载层12.03~18.35 ms传输时延和2.75~5.62 ms时延抖动,电力遥控业务全过程时间为5.96~6.68 s,业务数据质量得到提升,满足电力通信网运行要求。

The open service capability of 5G has changed the industrial internet data service process.When migrating industrial businesses to 5G network,the coordination of cloud-based data processes and the conflict avoidance of networked services should be considered.Taking power industry for example,to ensure data reachability and availability,a data service model based on Petri Net is proposed for unified modeling and analysis of business temporal logic and network functions.Then,based on reachability graph,VIKOR orchestration scheme is adopted to ensure the deterministic process and execution time of multiple data from space-time dimension.Simulation results show that it can avoid data conflicts after migration and improve deployment efficiency.Field test of power 5G experimental network verifies that this method can guarantee transmission delay of 12.03~18.35 ms and delay jitter of 2.75~5.62 ms of the bearer layer,the completion time of 5.96~6.68 s for power remote control business,and the data quality has been improved to meet the operational performance requirements of the power telecommunication network.