面向电力物联网的云边协同应用研究

Research on Cloud-edge Collaborative Application for Power IOT

  • 摘要: 针对电力物联网数据协同效率低的问题,对云边协同方式的应用进行研究。通过建立云边协同组织架构对电力物联网数据进行归纳调度;利用数字集成化技术使电力物联网的协同数据更加清晰化;通过建立信息物理融合系统(Cyber physical systems, CPS),模型增加协同数据的传输能力,运用完全分布式协同算法提高系统运算能力,提高了电网信息的协同能力。最后通过试验测试得到华中区域电网的数据协同效率表,得到云边协同效率稳定在8 MB/s;在此基础上应用Matlab仿真软件对系统的数据增量进行分析,发现本研究数据增量能够增加到550 MB;通过数据协同效率曲线对比分析,发现本研究数据协同效率稳定在8 MB/s,传统协同方式数据协同效率最高达到6 MB/s,从而验证了所提云边协同在电力物联网应用的优越性,证明了所提设计方案的可行性。

     

    Abstract: Aiming at the low efficiency of data collaboration in power IOT, the application of cloud-side collaboration is studied. The data of power IOT are induced and scheduled by establishing cloud-side cooperative organization structure, and the collaborative data of power IOT are made clearer by digital integration technology. The CPS model is established to improve the transmission ability of collaborative data, and the fully distributed collaborative algorithm is used to improve the computing ability of the system and the collaborative ability of grid information. Finally, the data synergy efficiency table of central China regional power grid is obtained through experimental test, and the cloud-side synergy efficiency is stable at 8 MB/s, it is found that the data increment can be increased to 550 MB, and the data synergy efficiency is stable at 8 MB/s, and the traditional synergy efficiency reaches 6 MB/s. The superiority of cloud-edge cooperation in the application of power IOT is verified, and the feasibility of the design scheme is proved.

     

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