基于边缘计算的输电线路监测物联网多路数据协同采集方法

A Multi-channel Data Collaborative Acquisition Method for IoT of Transmission Line Monitoring Based on Edge Computing

传感终端实时在线监测输电线路运行状况,由于输电线路规模大,数据采集难度增加,数据采集存在冗余数据占比高等问题,提出基于边缘计算的输电线路监测物联网(IoT)多路数据协同采集方法。搭建物联网多路数据协同采集框架,设计输电线路监测智能传感终端,基于边缘计算功能,设计多路数据传输算法,制定协同采集程序,融合旋转门算法与数据平滑算法,自适应调整采集间隔,实现物联网多路数据协同采集。实验数据显示:提出方法多路数据传输时延最小为2 s,冗余数据占比最小为2.56%,丢失数据占比最小为0.23%,充分证实提出方法多路数据采集效率与质量较佳。

The sensor terminal monitors the operation status of the transmission line online in real time.However,the large scale of the transmission line and the difficulty of data acquisition increases may lead to the problem of high proportion of redundant data in data acquisition.A multi-channel data collaborative acquisition method for Internet of Things(IoT)of transmission line monitoring based on edge computing is proposed.The multi-channel data collaborative acquisition framework of the IoT is built,the intelligent sensor terminal of transmission line monitoring is designed,the multi-channel data transmission algorithm is designed,the collaborative acquisition program is developed based on edge computing capabilities,the revolving door algorithm and the data smoothing algorithm are integrated,and the acquisition interval is adjusted adaptively to realize the multi-channel data collaborative acquisition of the IoT.Experimental data show that the proposed method has a minimum transmission delay of 2 s,a minimum ratio of redundant data of 2.56%,and a minimum ratio of lost data of 0.23%,which fully proves that the proposed method has a better efficiency and quality of multi-channel data acquisition.