Open AccessOnline Monitoring of Transmission Line Operation Based on Power Internet of Things
Author(s) -
Xiaohua Zhang,
Wenxiang Xue,
Shuyuan Wang,
Yi Lu,
Hui Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2108/1/012053
Subject(s) - computer science , real time computing , enhanced data rates for gsm evolution , fault (geology) , node (physics) , transmission (telecommunications) , the internet , line (geometry) , default gateway , computer network , state (computer science) , power (physics) , edge computing , distributed computing , engineering , telecommunications , algorithm , physics , geometry , mathematics , structural engineering , quantum mechanics , seismology , world wide web , geology
Current monitoring methods of transmission line operation status can not obtain real-time data of distributed distribution transmission line, which leads to a large error in monitoring results. Therefore, a multi-state on-line monitoring method based on power Internet of Things is proposed. Using the gateway of power internet of things to set up network control access mode, build edge computing model, and using AD chip of ADS8365W5300 to obtain the real-time data of massive distributed distribution network, then make a decision on the fault after processing and analyzing the data. This paper constructs an edge computing model which can complete the data processing and analysis in the edge node, and designs the deployment of the edge computing model. By evaluating the faults in the dynamic incremental fault set, the risk state of transmission line in the danger control area is obtained, and a multi-state on-line monitoring method is designed. The experimental results show that the proposed method can monitor the transmission line running state accuratel