A Multi-channel Data Collaborative Acquisition Method for IoT of Transmission Line Monitoring Based on Edge Computing
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 redun-dant 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 algo-rithm 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 transmis-sion 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.