Early warning of hidden danger of transmission line crossing based on edge computing technology

2020 ◽  
Author(s):  
Yan Zheng ◽  
Yanfeng Wu ◽  
Shu Cui ◽  
Jiashen Yu ◽  
Yifeng Dong ◽  
...  
Keyword(s):  
Transmission Line ◽  
Early Warning ◽  
Edge Computing ◽  
Computing Technology ◽  
Line Crossing

scholarly journals Research on Low-Power Main Control Chip Architecture Based on Edge Computing Technology

2021 ◽  
Vol 1802 (3) ◽  
pp. 032031
Author(s):  
Guoyu Cui ◽  
Wei Ye ◽  
Zhanbin Hou ◽  
Tong Li ◽  
Ruolin Liu
Keyword(s):  
Low Power ◽  
Edge Computing ◽  
Computing Technology

scholarly journals A Proximal Algorithm for Fork-Choice in Distributed Ledger Technology for Context-Based Clustering on Edge Computing

2020 ◽  
Vol 2 (1) ◽  
pp. 92
Author(s):  
Rahim Rahmani ◽  
Ramin Firouzi ◽  
Sachiko Lim ◽  
Mahbub Alam
Keyword(s):  
Large Scale ◽  
Cluster Head ◽  
Edge Computing ◽  
Computing Technology ◽  
Proximal Algorithm ◽  
Data Intensive ◽  
Distributed Ledger ◽  
Smart Contract ◽  
Distributed Ledger Technology ◽  
Iot Devices

The major challenges of operating data-intensive of Distributed Ledger Technology (DLT) are (1) to reach consensus on the main chain as a set of validators cast public votes to decide on which blocks to finalize and (2) scalability on how to increase the number of chains which will be running in parallel. In this paper, we introduce a new proximal algorithm that scales DLT in a large-scale Internet of Things (IoT) devices network. We discuss how the algorithm benefits the integrating DLT in IoT by using edge computing technology, taking the scalability and heterogeneous capability of IoT devices into consideration. IoT devices are clustered dynamically into groups based on proximity context information. A cluster head is used to bridge the IoT devices with the DLT network where a smart contract is deployed. In this way, the security of the IoT is improved and the scalability and latency are solved. We elaborate on our mechanism and discuss issues that should be considered and implemented when using the proposed algorithm, we even show how it behaves with varying parameters like latency or when clustering.

Fault diagnosis of motor based on low cost edge computing technology

2020 ◽  
Author(s):  
Yi-Horng Lai ◽  
Ye-Cheng Zhang ◽  
Liang Fang ◽  
Chiao-Sheng Wang ◽  
Jau-Woei Perng
Keyword(s):  
Fault Diagnosis ◽  
Low Cost ◽  
Edge Computing ◽  
Computing Technology

iWEP: An Intelligent WLAN Early Warning Platform Using Edge Computing

2019 ◽  
Author(s):  
Runhao Liu ◽  
Weitao Wang ◽  
Jiayao Wang ◽  
Zhixin Ou ◽  
Haozhong Qiu ◽  
...  
Keyword(s):  
Early Warning ◽  
Edge Computing

Dynamic analysis of the transmission line crossing “Lago de Maracaibo”

1998 ◽  
Vol 74-76 ◽  
pp. 977-986 ◽  
Author(s):  
G Diana ◽  
S Bruni ◽  
F Cheli ◽  
F Fossati ◽  
A Manenti
Keyword(s):  
Dynamic Analysis ◽  
Transmission Line ◽  
Line Crossing

scholarly journals Reliability Study of Important Cross-Over Transmission Line System Based on Series System

2021 ◽  
Vol 2137 (1) ◽  
pp. 012028
Author(s):  
Dengjie Zhu ◽  
Yongli Liao ◽  
Hao Li ◽  
Jie Tang ◽  
Zenghao Huang ◽  
...  
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
Calculation Method ◽  
Reliability Index ◽  
Force Transmission ◽  
Line System ◽  
Reliability Calculation ◽  
Safety And Reliability ◽  
The Cross ◽  
Line Crossing

Abstract Transmission lines inevitably cross railroads, highways, and other facilities, and in order to ensure the safety and reliability of the cross-crossing section, the influence of various random factors on important cross-crossing transmission lines needs to be fully considered. In this paper, the transmission line crossing section is treated as a tandem system according to the force transmission route, and the reliability calculation method of the cross-crossing transmission line system based on the tandem system is proposed. The reliability calculation method of each component and the reliability calculation method of the tandem system are given. Finally, an example of the reliability calculation of a 220kV cross-crossing transmission line system is given, and the results show that the cross-crossing section has the highest reliability of tower FSJ404, with a reliability index of 8.61, the second highest reliability of insulators, with a reliability index of 7.22, and the lowest reliability of tower FSJ302, with a reliability index of 4.28. The failure probability of the cross-crossing section is 0.000009245, and the reliability index is 4.28.

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